regular exercise and emotional resilience is associated

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Regular Exercise and Emotional Resilience is Associated with Improved Body Image Thomas O’Donoghue Submitted in partial fulfilment of the requirements of the BA Hons in Psychology at DBS School of Arts, Dublin. Supervisor: Dr. Rosie Reid Programme Leader: Dr R. Reid (BA)/ Dr G. Prentice (HDip) April 2016 Department of Psychology Dublin Business School

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Page 1: Regular Exercise and Emotional Resilience is Associated

Regular Exercise and Emotional Resilience is Associated with Improved Body Image

Thomas O’Donoghue

Submitted in partial fulfilment of the requirements of the BA Hons in Psychology at DBS

School of Arts, Dublin.

Supervisor: Dr. Rosie Reid

Programme Leader: Dr R. Reid (BA)/ Dr G. Prentice (HDip)

April 2016

Department of Psychology

Dublin Business School

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Table of Contents List of Tables ....................................................................................................................................................................... 3

List of Figures...................................................................................................................................................................... 4

Acknowledgements ............................................................................................................................................................ 5

Abstract .................................................................................................................................................................................. 6

Introduction .......................................................................................................................................................................... 7

Physical Activity ............................................................................................................................................................ 8

Physical Activity and Resilience ........................................................................................................................... 10

Physical Activity and Self-Image .......................................................................................................................... 11

Physical activity and Self-Esteem ......................................................................................................................... 13

Resilience, Self-Image and Self-Esteem ............................................................................................................. 15

Physical Activity, Resilience, Self-Image and Self Esteem in Ireland ...................................................... 17

Rationale for the Current Study ............................................................................................................................. 18

Methodology ..................................................................................................................................................................... 20

Participants ................................................................................................................................................................... 21

Sample Size Calculations. ................................................................................................................................... 21

Design ............................................................................................................................................................................ 22

Materials ........................................................................................................................................................................ 22

Procedure....................................................................................................................................................................... 24

Ethics .............................................................................................................................................................................. 25

Results ................................................................................................................................................................................. 26

Psychometric Properties of Measurements ........................................................................................................ 27

Data Screening........................................................................................................................................................ 28

Descriptive Statistics ................................................................................................................................................. 36

Means and Standard Deviations for measures ................................................................................................... 38

Inferential Statistics ................................................................................................................................................... 45

Discussion .......................................................................................................................................................................... 54

Strengths ........................................................................................................................................................................ 58

Limitations .................................................................................................................................................................... 59

Implications .................................................................................................................................................................. 60

Conclusion .................................................................................................................................................................... 61

References.......................................................................................................................................................................... 62

Appendix 1 ................................................................................................................................................................... 72

Appendix 2 ................................................................................................................................................................... 73

Appendix 3 ................................................................................................................................................................... 74

Appendix 4 ................................................................................................................................................................... 75

Appendix 5 ................................................................................................................................................................... 84

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List of Tables

Table 1: Cronbach Alpha Scores for all Measures used in the Study………………………..25

Table 2: Skewness and Kurtosis Values for the Total Habitual Physical Activity Scale……26

Table 3: Skewness and Kurtosis Values for the Work Index Subscale………………………29

Table 4: Skewness and Kurtosis Values for the Sport Index Subscale………………………31

Table 5: Skewness and Kurtosis Values for the Leisure Index Subscale…………………….35

Table 6: Frequencies for Gender Distribution between Sample Groups……………………..35

Table 7: Frequencies of Age Ranges for each Sample Group………………..……………...36

Table 8: Means and Standard Deviations for the Self Esteem Scale………………………...37

Table : General population and Student Means and Standard Deviations for the Self Esteem

Scale………………………………………………………………………………………….37

Table 9: Means and Standard Deviations for the Brief Resilience Scale…………………….38

Table 10: General population and Student Means and Standard Deviations for the Self

Esteem Scale…………………………………………………………………………………39

Table 11: Means and Standard Deviations for the Habitual Physical Activity Scale and

Subscales……………………………………………………………………………………..40

Table 1: General population and student Means and Standard Deviations for the Habitual

Physical Activity Scale……………………………………………………………………….41

Table 13. Means and Standard Deviations for the Body-Esteem Scale……………………...42

Table 14: General population and student Means and Standard Deviations for the Body-

Esteem Scale…………………………………………………………………………………42

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List of Figures

Figure 1: Histogram for the Habitual Physical Activity Scale Total…………...……………27

Figure 2: Boxplot for the Habitual Physical Activity Scale Total…………………………...28

Figure 3: Histogram for the Work Index Subscale…….…………………………..…………29

Figure 4: Boxplot for the Work Index Subscale……………………………………………...30

Figure 5: Histogram for the sport index Scale Total…………………………………………31

Figure 6: Box plot for the Sport Index Scale Total………………………...……………….. 32

Figure 7: Histogram for the leisure index Scale Total……………………………………….33

Figure 8: Box Plot for Leisure Index ………………………………………………………..34

Figure 9: Linear relationships between total scores on the Habitual Activity Scale and Total

Scores on the Resilience Scale……………………………………………………………….46

Figure 10: Linear relationships between total scores on the Habitual Activity Scale and Total

Scores on the Body Esteem Scale……………………………………………………………48

Figure 11: Linear relationships between total scores on the Habitual Activity Scale and

Total………………………………………………………………………………………….49

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Acknowledgements

I would like to thank my supervisor, Dr. Rosie Reid for her support, guidance and

encouragement. I would also like to thank my family and friends for their patience and belief

in me over the past number of years. Lastly, thanks to all those who participated in this

research.

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Abstract

Aim: This study was conducted to assess the role physical activity plays in resilience, self-

esteem and body image. Methods: Participants (N = 122) were drawn from third level

institutions and the general public and completed measures of self-esteem, resilience,

physical activity and body esteem. Results: It was found that those who engage in regular

physical activity and those who do not, differed significantly on measures of body image.

There was a significant positive correlation between resilience and total physical activity and

a significant negative correlation between physical activity at work and body image. It was

also found that body image was a significant predictor of self-esteem. Finally it was found

that resilience influenced the relationship between physical activity and body image.

Conclusion: The current study has provided a novel exploration of physical activity,

resilience, self-esteem and body image in an Irish sample. Further research may help build on

these findings.

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Introduction

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The current study seeks to investigate the role regular physical activity plays on

feelings of resilience, self-esteem and body image. In order to facilitate this investigation,

relevant literature will be reviewed before the formulation of hypotheses.

Physical Activity

The World Health Organisation (WHO) defines physical activity as “…..any bodily

movement produced by skeletal muscles that requires energy expenditure” (WHO, 2015,

para. 1). Physical activity has a strong positive relationship with physical health, and has been

attributed to longer lifespan and the absence of physical disease both acute and chronic

(McNaughton, Crawford, Ball & Salmon, 2012; McAuley, 2010). The WHO estimate that a

lack of physical activity accounts for an estimated 3.2 million deaths per year, which presents

a major issue for public health authorities (WHO, 2015). In addition to physical health

benefits, increased physical activity has been linked to positive mental health outcomes by a

large body of previous research. For instance, Richards et al. (2015) found that physical

activity and happiness scores were significantly and positively related across 15 counties;

suggesting a cross-cultural benefit of increased physical activity. The Royal College of

Psychiatrists (RCPsych, 2012) state that even moderate levels (one hour) of daily physical

activity has been found to have significant positive effects on mental wellbeing and may be

as effective as medication or cognitive behavioural therapy (CBT) in cases of mild

depression. Previous research suggests that these positive effects are a result of increases of

certain neurotransmitters associated with mood (serotonin and dopamine) which occur during

and after moderate exercise (RCPsych, 2012). Conversely, not only is a lack of physical

activity tied to physical disease, but also to poor mental health. For instance, a recent study

conducted by Asare and Danquah (2015) with a sample of 296 adolescents, found that low

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levels of physical activity were associated with significantly higher incidents of mental health

problems; specifically, depression, negative self-image and body dissatisfaction (Asare, &

Danquah., 2015). However, despite the large evidence base suggesting a strong link between

physical activity and positive mental health outcomes, it is unclear how this relationship

functions. It has been suggested that increased physical activity alters not only affect, but also

self-esteem and efficacy, thus leading to an enhanced quality of life (Joseph, Royse, Benitez,

& Pekmezi, 2014). From a biological perspective, exercise has been found to have a similar

impact on blood serotonin levels as Serotonin Re-uptake Inhibitor antidepressants (Wipfli,

Landers, Nagoshi, & Ringenbach, 2009) and thus reduce depression. Biological studies are

limited however by the inaccuracy of blood testing for neurotransmitter concentrations

(Sadock, Sadock, & Kaplan, 2004). Thus in the current study, psychological factors will be

examined exclusively.

Physical activity is a significant issue in the Republic of Ireland at current in relation

to obesity. Recent statistics from the WHO indicate that Ireland may hold the highest

proportion of obese citizens in Europe by 2030, (WHO, 2015). Given that mental health has

become a major concern for Ireland’s Health Service Executive (HSE, 2007) and the

established link between better mental health outcomes and increased physical activity

discussed here; a better understanding of this issue is needed.

Self-esteem, self-image and resilience have been shown to hold a strong positive

correlation to mental health outcomes (Gross, 2010). Recently, mental health has taken

importance in Irish society and media (HSE, 2007). The Health Service Executive (HSE)

indicates that mental health is a major issue in modern Ireland requiring increased efforts and

research (HSE, 2007).

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In the following review of the literature, previous research regarding the correlations

between physical activity, resilience, self-esteem and self-image will be critically reviewed to

give a picture of the potential relationships between the variables.

Physical Activity and Resilience

Stress is an unavoidable aspect of the human condition. Even in modern times, it is

likely that a person will be exposed to one of more significantly traumatic events, which can

have dire consequences on psychological well-being and may result in illnesses such as post-

traumatic stress disorder (PTSD) (Karam et al., 2014 as cited in Southwick et al., 2014). The

American Psychological Association (APA.org, 2013) defines resilience as: “….the process

of adapting well in the face of adversity, trauma, tragedy, threats, or even significant sources

of stress — such as family and relationship problems, serious health problems, or workplace

and financial stressors.”

The positive relationship between resilience and physical activity has been identified

by previous research but limited development of support has occurred. The United States

Armed Forces conducted a review of existing literature and found that increased levels of

physical activity were not only associated with significantly higher levels of physical

resilience, but also significantly higher levels of psychological resilience (Deuster, &

Silverman, 2013). In addition Martinek and Hellison (1997) suggest that physical activity can

be used to foster higher resilience in vulnerable youth who show an increased risk for

developing a mental illness.

In terms of specific research pieces, a small study (N = 111) conducted by Childs and

de Wit (2014) with mentally and physically healthy adults found that participants who took

part in regular physical activity showed significantly higher resilience to emotional stress

than those who only engaged in physical activity on an irregular basis. Resilience and higher

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scores on mental health outcomes were found to be positively correlated with higher levels of

physical activity in a large sample of adolescents (N = 7,639) (Skrove, Romundstad, &

Indredavik, 2013). Dogan (2015) conducted semi-structured interviews with 32 participants

actively enrolled and regularly using a gym. It was found that participants associated their

workout regime with overall self-improvement and an increase in psychological resilience.

Participants stated that they felt “more equipped” to deal with adverse events from a

psychological standpoint .

From a biological standpoint, physical activity appears to increase synaptic plasticity,

strengthen the synaptic connections, increase the formation of new neurons and thus protect

the brain from disease and degeneration (Cotman, Berchtold, & Christie, 2007). It has also

been suggested that increased physical activity reduces neurological inflammation which

inhibits brain function and has been linked to various illnesses such as major depressive

disorder or psychotic illnesses such as schizophrenia, (Cotman et al., 2007). These findings

may suggest that physical activity has a physiological effect on the brain which in turn

protects against the development of mental illness.

Research regarding physical activity and resilience is limited at current, which is

surprising due to international efforts to increase physical activity due to reported physical

and psychological benefits.

Physical Activity and Self-Image

Self-image can be defined as how a person thinks about or evaluates their physical

appearance (Gross, 2010). Physical activity and positive self-image have been researched

extensively on an international basis. Existing research shows that these two variables hold a

significant positive relationship. For instance, in a large review of the literature encompassing

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over 30 meta-analytic studies, Fox (1999) found that physical activity has a moderate positive

significant relationship with self-image. Another large questionnaire based study conducted

in Israel with over 1,500 undergraduate participants found that engagement in physical

activity on a regular basis significantly correlated with positive body image, even more so

than healthy eating (Korn, Gonen, Shaked, & Golan, 2013). In a sample of 290 female

regular exercisers and non-exercisers, Koyuncu, Tok, Canpolat and Catikkas (2010) found

that those reporting as regular exercisers showed significantly higher scores on body

satisfaction in comparison to the non-exercising group.

Physical activity in combination with other weight loss activities (for example,

improved nutrition) has been found to increase reports of self-image in a sample of women

(N = 161) who meet the criteria for morbid obesity following a six month intervention

targeting weight loss and increased levels of physical activity (Annesi, & Porter, 2015). The

authors postulate that success of such interventions may be explained by increases in overall

self-image (Annesi, & Porter, 2015).

These findings have been found not only in adult populations (Taylor, Sallis, &

Needle, 1985), but with adolescents also, a large study conducted with a sample of 1,000

German adolescents (aged 14-18 years) found that regular practice of an endurance style

exercise was significantly and positively correlated with self-image (Kirkcaldy, Shepard &

Siefen, 2002). Altintaş et al. (2014) found with a large adolescent sample (N = 1,012) that

physical activity and self-image were only significantly and positively correlated in males,

potentially suggesting that significant gender differences exist. Increasing physical activity is

used in a number of interventions to manage adolescent negative self-image. In a study of

657 adolescents it was found that an intervention lasting one year addressing physical activity

and overall health resulted in significantly higher levels of body satisfaction in comparison to

those who gained weight during the 12 month period (Huang, Norman, Zabinski, Calfas, &

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Partick, 2007). Huang, et al. (2007) findings potentially suggest that aside from casual

relationships, that physical activity can be utilised in an applied manner to improve outcomes.

However, these correlations may not be true in younger samples. For instance, Sands,

Tricker, Sherman, Armatas and Maschette (1997) found with a small sample (N = 61) of pre-

adolescent children (ages 10 & 11) that physical activity had no significant effect on body

image. In a more recent meta-analysis of controlled and non-controlled trials which

encompassed 2,991 participants Liu, Wu and Ming (2015) found that school based exercise

programs had a significant association with higher positive self-image scores.

Finally, limited research suggests that despite the positive outcomes (both physical

and psychological) associated with higher levels of physical activity; that physical activity

and self-image may hold a negative relationship mediated by reasons for exercise. For

instance, Prichard and Tiggemann (2008) found with a sample of 571 females, that gym-

based cardio workouts were associated with negative self-image among other findings such

as disordered eating which was found to provide a motivation for physical activity. These

findings have not been repeated in male samples and require further research to verify their

accuracy.

Physical activity and Self-Esteem

Mann, Hosman, Herman and deVries (2004, para. 2) define self-esteem as: “…as the

sum of an individual's beliefs and knowledge about his/her personal attributes and qualities.”

One of the most predominant models of self-esteem and physical activity was formulated by

Sonstroem and Morgan (1989). As opposed to viewing self-esteem as a single, solid

construct, the authors suggest that self-esteem is made up of a number of self-perceptions

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organised hierarchically with global self-esteem being the highest factor. It is theorised that

physical activity efficacy influences physical attibutes of a person which in turn advance

feelings of physical self-worth which finally contribute to higher self-esteem and acceptance

of an individual’s physical appearance (Sonstroem, & Morgan, 1989). This model has found

robust support through extensive research and remains a predominant theory in sports and

exercise psychology (Horn, 2008). The positive relationship between physical activity and

self-esteem has extensive research validation which will now be discussed.

In adults, the benefits of physical activity on self-esteem are well established, for

instance Koyuncu et al. (2010) found that females (N = 290) engaging in regular exercise

showed significantly higher levels of self-esteem in comparison to those who did not report

that they took part in regular physical activity.

A large meta-analysis conducted by Liu, Wu and Ming (2015) encompassing

randomised controlled trials and non-controlled trials of exercise programmes in children and

adolescents, found a strong, significant association between schools based exercise programs

and more positive feelings of self-esteem. A large trial comparing aerobic, physical or

combination training in a sample of adolescents (N = 304) found that regular resistance

training was associated in significantly higher movements in reports of global self-esteem in

comparison to the control group, (Goldfield et al., 2015).

The positive effects of physical activity on self-esteem have been found to be stable

over a four year period in a longitudinal study conducted by McAuley et al. (2005), who

monitored physical activity levels in a sample of 174 older adults over this time period.

Across the four year period it was found that self-esteem had significant positive effects on

self-esteem measures, (McAuley et al., 2005). These findings may suggest that physical

activity and self-esteem hold a positive relationship regardless of age and that positive effects

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do not diminish over time. Similar findings were reported by Opdenacker, Delecluse and

Boen (2009) who conducted a controlled trial with 120 older adults. It was found following

an 11 month intervention aimed at increasing physical activity those in the experimental

group showed significant improvements on measures of self-esteem at follow up two years

later compared to the control group who received no such intervention. These findings

support the possibility that the positive relationship between self-esteem and physical activity

are stable across the lifespan.

Gender may also play a significant role in the relationship between physical activity

and self-esteem. Furnham, Badmin and Sneade (2002), found in a sample of 235 adolescents

that only females associated body image satisfaction with self-esteem whereas body image

appeared to have no impact on male participant’s self-esteem. In contrast Olivardia, Pope,

Borowiecki and Cohane (2004) found with a small sample (N = 154) of university level

males that low-self-esteem and body image held a significant relationship, with men who

reported low levels of body satisfaction reporting low levels of self-esteem. At current the

gender specific aspects of the relationship between physical activity and self-esteem is

unclear.

Resilience, Self-Image and Self-Esteem

Low levels of self-esteem have been strongly associated with eating related

psychopathologies such as anorexia nervosa, which are linked to negative self-image

(Zeigler-Hill, & Noser, 2015). In addition low levels of resilience have been associated with

higher incidents of mental illnesses including eating disorders (Gross, 2010).

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Research evaluating the relationship between resilience and self-esteem indicates that

the two may share a significant, positive relationship. For instance Dumont and Provost

(1999) found in a sample of adolescents (N = 297) that adolescents scoring low on levels of

vulnerability showed significantly higher self-esteem scores than those scoring high on

vulnerability measures. The nature of this relationship is currently unknown, however,

Benetti and Kambouropoulos (2006) investigated resilience and trait anxiety and their effect

on self-esteem in a sample of 240 participants and found that both trait anxiety and resilience

were significantly and positively associated with self-esteem. The authors suggest that

resilience and anxiety may mediate self-evaluations thus potentially affecting self-esteem

levels.

In terms of body image and self-esteem, research currently suggests that the two

variables hold a significant positive relationship. For instance, Tiunova (2015) found that

adolescent’s (N = 250) self-image was predictive of self-esteem levels. In another study

employing an adolescent sample, Gatti, Ionio, Traficante and Confalonieri (2014) found that

the sample reported that self-esteem was reached through a satisfactory self-image and

qualitative analysis revealed that females appeared more vulnerable to body dissatisfaction

than males. In a study of 877 college students it was found that body image mediated levels

of self-esteem and symptoms of disordered eating. Grilo, Wilfley, Brownell and Rodin

(1994) found that teasing in early life was correlated with high body dissatisfaction which in

turn was correlated with low self-esteem. These findings suggest that childhood experiences

may have a mediating effect on body image and self-esteem in childhood.

It can be concluded that resilience and self-image have shown significant effects on

self-esteem across various international samples, suggesting a clear link between the three

variables.

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Physical Activity, Resilience, Self-Image and Self Esteem in Ireland

Research regarding physical activity and the variables discussed here is surprisingly

limited within Irish samples. In a large multinational study encompassing participants aged

15 or over, from 122 countries, it was found that the Irish population ranks as the seventh

worst country in Europe for physical activity levels (Hallal et al., 2012). It was found that

over 50% of the Irish population was not meeting daily physical activity recommendations

(Hallal et al., 2012).

Among the limited existing research, Quinn, Doody and O’Shea (2008) found that a

physical activity education program used in a sample of 18 Irish females meeting criteria for

obesity had no significant effects on quality of life measures (which included self-esteem and

self-image measures), which contradicts international findings. Mooney, Farley and Strugnell

(2009) found in a qualitative study of 124 Irish females, that body image was low and that

dieting behaviours were significantly higher than would be expected from this demographic.

To the best of the author’s knowledge, no further Irish research evaluates the relationship

between these variables.

The lack of research is even more surprising when the statistics reported by the WHO

are taken into account, in other words, that Ireland is facing a significant and worrying trend

in obesity, (WHO as cited by Flaherty, 2015), which is directly related to lower levels of

physical activity (Gross, 2010). This lack of research is finally an issue due to the HSE

(2007)’s statement that mental health has become a major issue in Ireland, given the link

between increased physical activity and more positive mental health outcomes (RCPsych,

2012).

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Rationale for the Current Study

Given the previously reported positive relationships between physical activity and

resilience, (Childs & de Wit, 2014), self-image, (Altintas et al., 2014; Huang et al., 2007;

Kirkaldy et al., 2002; Korn et al., 2013; Taylor et al., 1985) and self-esteem (Horn, 2008; Liu

et al., 2015; McAuley et al., 2005; Opdenacker et al., 2009) found in non-Irish studies, it

remains surprising that little research is available in regarding Irish samples. Furthermore,

given the significant positive relationships found between self-esteem and body image (Gatti

et al., 2014; Tiunova, 2015) and self-esteem and resilience (Benetti et al., 2006; Dumont et

al., 1999), elaboration to the Irish population is warranted, as research is scant in Ireland at

current.

What this research proposes is to examine the interactions between body image, self-

esteem and physical activity and investigate whether resilience can influence self-esteem and

body image. This research is influenced by the problems of obesity and mental health facing

the Irish nation as recent prospective statistics have indicated that Ireland is set to be the most

obese nation in Europe (Flaherty, 2015) and the Health Service Executive (HSE) identifies

that mental health is a significant issue faced in Ireland (HSE, 2007). In addition Irish levels

of physical activity appear to be grossly below the recommended daily amount, (Hallal et al.,

2012).

In conclusion, it is hoped that the current research project can help further

understanding of physical activity and the potential correlates in an Irish setting discussed

here as well as deepen knowledge regarding the potential predictive nature of resilience and

body image on measures of self-esteem in an Irish sample. It is hoped that the current study

could be elaborated upon in future research.

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In order to investigate the research question posed here the following hypotheses will be

evaluated:

H1: There will be a significant difference between those who engage in physical activity and

those who do not across measures of resilience, self-esteem and body image.

H2: Higher levels of physical activity will be significantly and positively related to resilience,

body image and self-esteem.

H3: Resilience and body image will be significant predictors of self esteem.

H4: There will be significant differences between those who do and do not engage in sport

across body image and self-esteem, when controlling for resilience as a covariate.

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Methodology

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Participants

Participants (N =122) were both students and from the general public. The sample

consisted of 40 males (32.8%) and 82 females (67.2%). Participant’s ages ranged from 18 to

55+ years, with a mean age range 25 to 24 years.

The student within the sample (N = 80), were recruited through University of

Limerick and Dublin Business School during class times with the permission of university

staff. Student ages ranged from 18 to 25+ years, with a mean age range of 18 to 25 years. Of

the Dublin Business School students (N = 28), 7 were male (25%) and 21 were females

(75%). Of the University of Limerick students (N = 52), 29 were male (55.8%) and 23 were

female (44.2%). Those from the general public (N = 42) were drawn through convenience

sampling from local businesses and organisations willing to distribute paper based

questionnaires to their staff/customers. General population participant ages ranged from 18 to

55+ years, with a mean age range of 35-44 years. Of the general population, 4 were male

(9.5%) and 38 were female (90.5%).

Sample Size Calculations. The Central Statistics Office (CSO) of the Republic of

Ireland (CSO, 2015) estimates the Irish population to stand at 4,635,400 with approx.

500,000 for those under 15. Estimated Power analysis using online statistical tools from

www.raosoft.com showed that setting a 5% margin of error a and a confidence level of 95%

when using a 50% response distribution indicates that a sample size of 385 is needed to be

representative of the Irish population. The current sample size of 122 estimates an 8.87%

margin of error. The current sample size cannot be assumed to represent the complete

population within Ireland.

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Design

This study was a cross-cultural, quantitative, between groups comparative design. The

different groups in the between groups design were arranged by levels of physical activity,

engagement in sport (this will depend on what we have). The Independent variables (IV)

were; engagement in physical activity, age, and gender. The dependent variables (DV) were;

resilience, body image and self-esteem.

Materials

A physical paper questionnaire was used to gather information in this study (see

Appendix 2 - 5). The questionnaire collected demographic information on gender and age. In

addition to the physical questionnaires, when in the university environment the researcher

required a quiet environment where large numbers of questionnaires could be completed

which was provided by each prospective university in the form of a quiet lecture theatre.

The Rosenberg Self Esteem Scale (Rosenberg, 1965). This 10 item scale will be

used to measure self-esteem across a four point likert scale ranging from strongly agree to

strongly disagree (see Appendix 3). The totals are summed and score totals can range from 0

to 30; the higher the score, the higher the self-esteem (Rosenberg, 1965). Examples of

questions asked included ‘I take a positive attitude toward myself’, ‘I wish I could have more

respect for myself’ and ‘I feel I do not have much to be proud of’. Participants were

instructed to circle the most appropriate answer for each of the items. Cronbach’s alpha has

been found to range from .82 to .88 and high levels of reliability and validity have been

consistently reported for this measure (Rosenberg, 1965; Martín-Albo, Nunuz, Jusé, Navarro,

& Grijalvo, 2007; Robins, Hendin, & Trzesniewski, 2001).

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The Brief Resilience Scale (Smith et al., 2008). This 6 item scale will be used to

measure resilience on a five point likert scale ranging from strongly disagree to strongly

agree (see Appendix 3). Examples of questions asked included ‘I tend to bounce back quickly

after hard times’, ‘It does not take me long to recover from a stressful event’ and ‘I usually

come through difficult times with little trouble’. Participants were instructed to circle the

answer that most pertained to them for each item. Items 2, 4 and 6 are negatively worded.

The BRS total score is calculated by finding the mean of the six items. This scale has shown

high levels of reliability and validity with a Cronbach’s alpha ranging from .80 to .91,

(Gloria, & Steinhardt, 2014; Smith et al., 2008).

Habitual Physical Activity Scale (Baecke, Burema & Frijters, 1982). This 16 item

scale will be used to measure physical activity in work, leisure time and during sport. To

answer questions on the Habitual Physical Activity Scale (Baecke et al., 1982), participants

were instructed to circle one number fodr each statement to indicate how much the

respondent disagreed or agreed with each of the statements (see Appendix 3). Examples of

questions asked included ‘At work I lift heavy loads’, ‘during leisure time I cycle’ and ‘how

many minutes do you walk and/or cycle per day to and from school and shopping?’.

Cronbach’s alpha ranges from .74 to.88 and this measure has shown consistent reliability and

validity in previous evaluations and when compared to other measures of physical activity

(Baecke et al., 1982; Florindo et al., 2006).

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The Body-Esteem Scale (Biss) (Franzoi & Shields, 1984). This 32 item scale looks

at individuals self-rating of their different body parts from strong negative feelings to strong

positive feelings on a five point likert scale. To answer questions on the BISS, (Franzoi &

Shields, 1984), participants were instructed to ‘read each item and indicate how you feel

about this part of function of your own body using the following scale and then asked to mark

the answer with most pertained to them on the likert scale. Examples of ‘part of function of

body’ included; ‘face’, ‘body build’ and ‘agility’. This scale shows good reliability and

validity with Cronbach’s alpha ranging from .82 to .94, (Cecil & Stanley, 1997; Franzoi,

1994; Franzoi & Shields, 1984).

Procedure

Student participants completed the questionnaire during scheduled class time. The

researcher firstly gave a brief introduction the current study and then called out a clear set of

instructions for students to follow when completing the questionnaire these instructions were

also written on each questionnaire (see Appendix 3). Students were then instructed to

carefully read the introductions on the questionnaire, to attempt to answer all questions and to

ask the researcher if they needed clarification on any question. Participants were both

verbally and in a written manner on the questionnaire booklet informed that they may

withdraw at any time but that once data was collected they may not withdraw as it would be

impossible to locate their specific booklet. Participants were reminded to detach and keep the

participant debriefing information (see Appendix 5). Any questions and queries were

answered before thanking participants for taking part in the study.

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Ethics

This study was approved by the Dublin Business School Ethics Committee. All

guidelines for research set out in the Psychological Society of Ireland, (2010). Participants

were provided with information on the study, consent forms and debriefing information. In

order to comply with the Data Protection Act (1988), data was entered and processed using

IBM SPSS and stored on a password protected encrypted computer. The researcher was the

only individual to have access to the data.

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Results

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Psychometric Properties of Measurements. Table 1 showed the Cronbach alpha

coefficients scores for the four measures used in this study. Alpha values for the Habitual

Habitual Physical Activity Scale (α = 0.72) suggested an acceptable level of internal

consistency reliability for the scale with this sample (Pallant, 2013). Both the Resilience

Scale (α = 0.78) and the Body Esteem Scale (α = 0.87) indicate internal consistency

reliability for the scale with this sample (Pallant, 2013). The Cronbach alpha coefficient for

the Self Esteem Scale (α = 0.30) suggested very questionable consistency reliability for the

scale with this sample (Pallant, 2013). This could be explained by the different groups of

samples. Cronbach’s alpha for the general population sample was 0.30.

Table 1. Cronbach Alpha Scores for all Measures used in the Study.

Scale α

Habitual Physical Activity Scale 0.72

Body Esteem Scale 0.87

Resilience Scale 0.78

Self Esteem Scale 0.30

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Data Screening. All data recorded for this study was screened prior to

statistical analysis. Frequencies output were checked for missing values and errors;

none were reported. All scale totals were screened to examine distribution of scores;

this information is found in the following paragraphs.

Habitual Physical Activity Scale (Baecke, Burema & Frijters, 1982).

Total. Skewness and kurtosis values were utilised to examine the data

distribution for the Habitual Physical Activity Scale Total. Mean and median values

were also examined. The mean (M = 8.67) and median (M = 8.37) values were

similar; which suggested possible normal distribution. Further analysis was carried

out. The results indicated that there were more scores on the right of the mode than

the left; this indicated a positive skew. The Kurtosis value was negative, which

suggested that the curve of the distribution for the sample was mildly platykurtic.

Table 2 outlined Kurtosis and Skewness values for the Activity Total scale, which

were within the normal ranges of -1 and +1 as set out by Pallant (2013).

Table 2. Skewness and Kurtosis Values for the Total Habitual Physical Activity Scale

Scale

N

Kurtosis

Skewness

Activity Totals

122

-.071

.371

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This indicated that the data were normally distributed as indicated by figure 1.

Box plots for the Habitual Physical Activity Scale indicated one outlier as indicated in

figure 2. However, the outlier was not marked as an extreme outlier. Therefore the

Habitual Activity Scale Total was suitable for use in parametric testing.

Figure 1. Histogram for the Habitual Physical Activity Scale Total

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Figure 2. Box plot for the Habitual Physical Activity Scale Total

Work Index Subscale (Baecke, Burema, & Frijters, 1982). Data

distribution on the Work Index Subscale was examined on the mean and median

values, as well as the skewness and kurtosis values. The Work Index Subscale had a

mean score of 2.78 and a median score of 2.89. There was a negative skew which

indicated that more scores are to the left of the mode than the right. A slightly

leptokurtic curve was indicated by a positive kurtosis value. Kurtosis and Skewness

values are seen on table 3 and indicated that the Work Index Subscale was within

normal ranges -1 and +1 as outlined by Pallant (2013). Normal distributions of the

data were illustrated by the histogram in Figure 3.

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Table 3. Skewness and Kurtosis Values for the Work Index Subscale

Scale

N

Kurtosis

Skewness

Work Index

Subscale

122

1.13

-0.45

Box plots for the Work Index Subscale indicated one outlier as indicated in

figure 4. However, the outlier was not marked as an extreme outlier. These results

suggested that the Work Index Subscale was suitable for use in parametric testing.

Figure 3. Histogram for the Work Index Subscale

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Figure 4. Box plot for the Work Index Subscale

Sport Index Subscale (Baecke, Burema, & Frijters, 1982). Skewness and

kurtosis values, as well as the mean and median values were examined in order to

screen for normal distribution of the data. The Sport Index Subscale had a mean score

of 3.00 and a median score of 2.82. A positive skew indicated that more scores were

to the right of the mode than the left. The negative kurtosis value on table 4 indicated

that the curve was slightly platykurtic. However, Kurtosis and Skewness values were

within normal ranges -1 and +1 (Pallant, 2013) which demonstrated that the data was

normally distributed by the histogram in figure 5 and suitable for use in parametric

testing. Boxplots for the Sports Index Subscale indicated no outlier as outlined in

figure 6.

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Table 4. Skewness and Kurtosis Values for the Sport Index Subscale

Scale

N

Kurtosis

Skewness

Sport Index

Subscale

122

-0.06

0.67

Figure 5. Histogram for the sport index Scale Total

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Figure 6. Box plot for the Sport Index Scale Total

Leisure Index Subscale. Data distribution for the Leisure Index Subscale was

assessed on the skewness, kurtosis, mean and median values. The Leisure Index

Subscale had a mean score of 2.88 and a median score of 2.87. There was a positive

skew, with more scores are to the right of the mode than to the left. The Kurtosis

value was positive. Table 5 indicated that Kurtosis and Skewness values for the

Leisure Index Subscale were within normal ranges -1 and +1 (Pallant, 2013) as

outlined in figure 7. Values for Leisure Index Subscale demonstrated the data is

normally distributed as indicated by figure 8. This suggested that the Leisure Index

Subscale variable is suitable for use in parametric testing.

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Table 5. Skewness and Kurtosis Values for the Leisure Index Subscale

Scale

N

Kurtosis

Skewness

Leisure Index

Subscale

122

0.26

0.15

Figure 7. Histogram for the leisure index Scale Total

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Figure 8. Box Plot for Leisure

Descriptive Statistics

Gender. There were a total of 40 males (32.8%) and 82 females (67.2%) in the

current study, as indicated in Table 6. In the sample of participants from Limerick University

(N = 52), there were 29 males (55.8%) and 23 females (44.2%). In the sample of participants

from Dublin Business School (N = 28), there were 7 males (25%) and 21 females (75%). In

the sample of participants from the General Public (N = 42), there were 4 males (9.5%) and

38 females (90.5%).

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Table 6. Frequencies for Gender Distribution between Sample Groups

Group Total Number

N

Total Males

N (%)

Total Females

N (%)

Total Sample 122 40(32.8) 82(67.2)

General Population 42 4(9.5) 38(90.5)

Dublin Business

School

28 7(25) 21(75)

Limerick University

Students

52 29(55.8) 23(44.2)

Age. Ages ranged from 18 to 55+years. The average age range was 25 to 34 years.

The average age for participants from Limerick University was 18 to 24 years. The average

age for participants from Dublin Business School was 25 to 34 years. The average age for

participants from the General Public was 35 to 44. Frequencies and ranges ages of

participants are outlined in Table 7.

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Table 7. Frequencies of Age Ranges for each sample group

Age Range Total Group

General

Population

Dublin

Business School

Limerick

University

(N = 122) (N = 42) (N = 28) (N = 52)

18 – 24 years 50 4 12 46

25 – 34 years 29 11 13 6

35 – 44 years 24 11 3 -

45 – 54 years 13 10 - -

55 – 64 years 6 6 - -

Means and Standard Deviations for measures

Self Esteem Scale (Rosenberg, 1965). The mean score on the Self Esteem Scale

totals was 16.00 (SD = 1.86). Males had a average of 16.42 on the Self Esteem Scale (SD =

1.52). Females had a average of 15.79 on the Self Esteem Scale (SD = 1.98). Means and

Standard deviaiton for the total group, males and females, are outlined in table 8. The means

and sstandard deviations for the separate groups of general population and student samples

are outlined in table 9.

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Table 8. Means and Standard Deviations for the Self Esteem Scale

Self Esteem

Scale

N Mean Standard

Deviation

Total group 122 16.00 1.86

Males 40 16.42 1.52

Females 82 15.79 1.98

Table 9. General population and student Means and Standard Deviations for the Self Esteem

Scale.

Self Esteem

Scale

N Mean Standard

Deviation

Dublin Business School 28 16.61 1.75

Limerick University Students 52 16.23 1.64

General Population 42 15.31 2.06

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The Brief Resilience Scale (Smith et al., 2008). The mean score on the Brief

Resilience Scale totals was 3.32 (SD = 3.93). Males had a average of 3.30 on the Brief

Resilience Scale (SD = 0.75). Females had a average of 3.33 on the Brief Resilience Scale

(SD = 0.69). Means and Standard deviaiton for the total group, males and females, are

outlined in table 9. The means and standard deviations for the separate groups of general

population and student samples are outlined in table 10.

Table 9. Means and Standard Deviations for the Brief Resilience Scale

Brief Resilience

Scale

N Mean Standard

Deviation

Total group 122 3.32 3.93

Males 40 3.30 0.75

Females 82 3.33 0.69

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Table 10. General population and student Means and Standard Deviations for the Brief

Resilience Scale

Brief Resilience

Scale

N Mean Standard

Deviation

Dublin Business School 28 3.51 0.68

Limerick University Students 52 3.21 0.75

General Population 42 3.33 0.68

Habitual Physical Activity Scale (Baecke, Burema, & Frijters, 1982). The mean

score on the Habitual Physical Activity Scale totals was 3.26 (SD = 3.92). Males had a

average of 5.46 on the Habitual Physical Activity Scale (SD = 4.17). Females had a average

of 2.12 on the Habitual Physical Activity Scale (SD = 3.33). Means and Standard deviaiton

for the total group, males and females, are outlined in table 10 and include scores for the

Sport, Work and Leisure Subscales. The means and standard deviations for the separate

groups of general population and student samples are outlined in table 10.

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Table 11. Means and Standard Deviations for the Habitual Physical Activity Scale and

Subscales

N Mean Standard Deviation

Habitual Physical Activity Scale

Total group 122 3.26 3.92

Males 40 5.46 4.17

Females 82 2.12 3.33

Sport Index Subscale

Total group 122 3.00 1.25

Males 40 3.69 1.22

Females 82 2.67 1.13

Leisure Index Subscale

Total group 122 2.88 0.71

Males 40 2.70 0.61

Females 82 2.97 0.75

Work Index Subscale

Total group 122 2.78 0.50

Males 40 2.79 0.61

Females 82 2.78 0.54

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Table 12. General population and student Means and Standard Deviations for the Habitual

Physical Activity Scale

N Mean Standard Deviation

Habitual Physical Activity Scale

Dublin Business School 28 1.90 3.41

Limerick University Students 52 5.53 3.72

General Population 42 1.36 3.01

Work Index Subscale

Dublin Business School 28 2.65 0.56

Limerick University Students 52 2.84 0.50

General Population 42 2.80 0.47

Leisure Index Subscale

Dublin Business School 28 2.88 0.61

Limerick University Students 52 2.88 0.69

General Population 42 2.88 0.48

Sport Index Subscale

Dublin Business School 28 2.51 1.15

Limerick University Students 52 3.81 0.99

General Population 42 2.31 1.04

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The Body-Esteem Scale (Biss) (Franzoi & Shields, 1984). The mean score on the

Body-Esteem Scale totals was 116.60 (SD = 20.79). Males had a average of 126.70 on the

Body-Esteem Scale (SD = 21.20). Females had a average of 111.67 on the Body-Esteem

Scale (SD = 18.83). Means and Standard deviation for the total group, males and females, are

outlined in table 13. The means and standard deviations for the separate groups of general

population and student samples are outlined in table 14.

Table 13. Means and Standard Deviations for the Body-Esteem Scale

Body Esteem

Scale

N Mean Standard

Deviation

Total group 122 116.60 20.79

Males 40 126.70 21.20

Females 82 111.67 18.83

Table 14. General population and student Means and Standard Deviations for the Body-

Esteem Scale

Body Esteem

Scale

N Mean Standard

Deviation

Dublin Business School 28 122.18 19.05

Limerick University Students 52 121.65 20.77

General Population 42 106.62 18.56

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Inferential Statistics

Hypotheses 1:

Alternate Hypothesis (H1) There will be a significant difference between those who engage in

physical activity and those who do not across:

a. Resilience

b. Self Esteem

c. Body Esteem

Null Hypothesis (H0) There will be no significant difference between those who engage in

physical activity and those who do not across:

a. Resilience

b. Self Esteem

c. Body Esteem

Physical Activity Scores were calculated on the basis of engaging in sport and not

engaging in sport. The habitual activity score totals were deemed unsuitable to split into

groups as even low levels of activity were recorded on the scale. Assumptions for using a t-

test according to Pallant (2011) were met:

Equality of variance on Levene’s test reported that the data on the Resilience Scale,

Self-Esteem Scale and the Body Esteem Scale all reported p> 0.05 which indicated

the samples were drawn from normally distributed populations.

The dependent variables were measured on a continuous scale.

The independent variable was a categorical variable.

There were independence of observations

There were no extreme outliers.

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A. Resilience

An independent t-test indicated that there was no statistically significant difference between

those who engage in physical activity (M = 3.32, SD = 0.83) and those who do not (M = 3.32,

SD = 0.48) on Resilience totals (t(118) = 0.06, p>0.05, 2-tailed). The Null Hypothesis is

retained.

B. Self Esteem

An Independent t-test reported statistically significant difference between those who engage

in physical activity (M = 16.22, SD = 1.97) and those who do not (M = 15.79, SD = 1.58) on

Self Esteem totals (t(118) = 1.26, p>0.05, 2-tailed). The Null Hypothesis is retained.

C. Body Esteem

An independent t-test indicated that there was a statistically significant difference between

those who engage in physical activity and those who do not on body Image esteem totals

(t(118) = 3.09, p<0.05, 2-tailed). Those who play sport had on average, higher levels of Body

image (M = 121.12, SD = 19.37) than those who do not play sport (M = 109.49, SD = 21.24).

The Null hypothesis is rejected.

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Further Analysis on Hypothesis 1. Further analysis was conducted and Analysis of

Variance was used to ascertain if participant levels of overall activity would indicate any

significant differences on Resilience, Self Esteem and Body Esteem. When total activity

scores were separated into low, medium and high levels of overall activity in

work/sport/leisure there was significant differences between these groups but only for body

image F(2,119) = 3.47, p<0.05). LSD post hoc tests indicated that there were significant

differences between low levels of activity and medium levels of activity (p = 0.03) and also

between low levels of activity and high levels of activity (p = 0.04). There were no

differences between medium and high levels of activity.

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Hypothesis 2

Alternate Hypothesis (H1) Higher levels of physical activity will be significantly related to

higher levels of:

a) Resilience

b) Self Esteem

c) Body Esteem

Null Hypothesis (Ho) Higher levels of physical activity will not be significantly related to

higher levels of:

a) Resilience

b) Self Esteem

c) Body Esteem

The data met the assumptions required to perform a Pearson’s r correlation

coefficient, namely, both variables are measured at interval level, there is a linear relationship

between the two variables as indicated by figures 9 to 11 (These relationships are weak and

discussed further below), no significant outliers and the data is approximately normally

distributed. Physical activity was calculated with total Habitual activity score and also for

subscales of work, sport and leisure physical activity.

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A. Resilience

A Pearson’s r Correlation Coefficient was conducted to ascertain if there was a

relathioship between total scores on the Habitual Activity Scale and the total scores on the

Resilience Scale. Results indicated a statistically significant positive weak correlation

between Habitual Activity totals and resilience r = 0.19, p<0.05, 2-tailed. The higher overall

activity score, the higher the resilience score. The weak level of relationship is indicated by

the large number of scores lying to the right of the scatter plot, indicating that for a number of

participants, Habitual Activity had no relationship with their resilience scores. The null

hypothesis is rejected but done so with caution considering the weak level of correlation.

There were no significant correlations reported on the Leisure Index, Sport Index or Work

Index subscales.

Figure 9. Linear relationships between total scores on the Habitual Activity Scale and Total

Scores on the Resilience Scale

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B. Body Esteem

A Pearson’s r Correlation Coefficient was conducted to ascertain if there was a

relationship between total scores on the Habitual Activity Scale and the total scores on the

Body Esteem Scale. No significant correlations on total activity level and body esteem were

reported. The null hypothesis is retained. Further analysis on the Work Index subscale

indicated that a weak statistically significant correlation to body image r =-0.21, p<0.05, 2-

tailed. This relationship indicated that the more physically active participants were in work,

the lower their body image. The Sport Index Subscale was also weakly statistically positively

correlated with body image r =0.27, p<0.05, 2-tailed. This suggested that the more physically

active participants were in sport, the higher their body image. There was no significant

correlation reported between the scores on the Leisure Index subscale and the Body Esteem

scores.

Figure 10. Linear relationships between total scores on the Habitual Activity Scale and Total

Scores on the Body Esteem Scale

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C. Higher levels of self esteem

A Pearson’s r Correlation Coefficient was conducted to ascertain if there was a

relationship between total scores on the Habitual Activity Scale and the total scores on the

Self Esteem Scale. No statistically significant correlation was reported. The null hypothesis

was retained. Further analysis on the subscales of the Habitual Activity Scale reported no

statistically significant correlations.

Figure 11. Linear relationships between total scores on the Habitual Activity Scale and Total

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Hypothesis 3

Alternate Hypothesis (H1) Resilience and body image will be significant predictors of self

esteem

Null Hypothesis (H0) Resilience and body image will not be significant predictors of self

esteem

A Linear Regression was conducted to test if resilience and Body Esteem were

significant predictors of Self Esteem. The results indicated that Resilience and Body Esteem

were statistically significant predictors of Self Esteem as an overall model F(2,119) = 11.04,

p<0.05. The adjusted r2 was 0.14 and suggested that the model could only account for 14% of

the variance in scores of self esteem. In the model, only body esteem was a significant

predictor of self esteem (p<0.01).

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Hypothesis 4

Alternate Hypothesis (H1): There will be a significant difference between those who do and

do not engage in sport across body image and self esteem when controlling for resilience as a

covariate.

Null Hypothesis (H0): There will be a significant difference between those who do and do not

engage in sport across body image and self esteem when controlling for resilience as a

covariate.

As shown in hypothesis 1, there were significant differences between does who do

and do not play sport and total levels of body esteem but no significant differences on levels

of self esteem. Univariate analysis was conducted to test if resilience would act as a covariate

for differences between those who play sport and those who do not across. No differences

were reported between those who play sport and those who do not on levels of Body Esteem

(F (58,122) = 1.18, p<0.05) or self esteem (F (10,122) = 0.92, p<0.05) when controlling for

the influence of resilience.

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Discussion

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Given the recent importance allotted to physical activity on measures of physical

health, (WHO, 2015), it has become a significant issue for health departments across the

world. The strong links between physical activity and mental health are also well noted,

(RCPsych, 2012). Both mental and physical health have become a primary concern in Ireland

in addition to concerns rising regarding the mental wellbeing of the general population,

(HSE, 2015; WHO as cited by Flaherty, 2015). In light of these concerns and the lack of

existing research with Irish populations the current study sought to assess the relationship

between physical activity and self-esteem, resilience and body image in a sample of students

(N = 80) and members of the general public (N = 52).

It was found that those who engage in physical activity rated their body image

significantly higher than those who do not engage in regular physical activity. A significant

weak relationship was found between levels of physical activity and resilience. The level of

physical activity in work was found to hold a negative relationship with body image. In

addition it was found that resilience and body esteem predicted self-esteem. There was a

weak significant relationship between physical activity and resilience. No relationships were

found between physical activity and self-esteem. Resilience was also found to not affect the

relationship between those who play sport and those who do not on measures of body esteem.

These findings will now be discussed in detail.

The finding that those who undertake regular physical activity and those that do not

differed significantly on body image (those who do scoring higher on body image) was not

surprising. Previous research has demonstrated a strong association between these variables

(Fox, 1999; Korn et al., 2013; Koyuncu et al., 2010) suggesting that those engaging in regular

exercise tend of have higher perceptions of their body than those who do not engage in

regular exercise. The findings of the current study potentially expand previous findings to an

Irish population.

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The finding that resilience and body image predict self-esteem is also not surprising

given previous research findings. Given that low levels of self-esteem and resilience have

been strongly associated with eating disorders which are characterised by pathological self-

image, (Zeigler-Hill & Noser, 2015; Gross, 2010) and research suggesting a strong

interrelation between these three variables in non-clinical samples (Tiunova, 2015; Gatti et

al., 2014). The findings of the current study potentially expand this previous relationship to

an Irish population.

The significant relationship between physical activity and resilience was also

unsurprising. However it was not anticipated that the relationship would be so weak. A

positive relationship has previously been suggested (Moljord, Moksnes, Espnes, Hjemdal, &

Eriksen, 2015). For instance, the U.S. armed forces have demonstrated that physical activity

has not only positive effects on physical resilience but also on psychological resilience,

(Deuster, & Silverman, 2013). The link between increased levels of physical activity and

better mental health has also been reported (which holds a strong relationship to resilience),

(Hjemdal, Aune, Reinfjell, Stiles, & Friborg, 2007; Childs, & de Wit, 2014; Dogan, 2015). In

addition cultural differences (which were beyond the scope of this paper) may play a role in

the current findings as the previously mentioned research was conducted in the U.S. and

North-Eastern Europe and could account for the weak level of significance. Richards et al.,

(2015) found that the mental health benefits of physical activity were repeated across 15

countries and the findings of the current study tentatively suggest that this may be a similar

case for the Irish population.

The non-significant findings of the current study are surprising. The non-significant

relationship between self-esteem and physical activity was surprising in light of Sonstroem

and Morgan’s (1989) model which suggests that self-esteem is impacted by feelings of

physical self-worth which themselves are impacted by levels of physical activity. The

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findings of the current study contradict the robust support previously found for this model,

(Horn, 2008). It was expected that the current study would find similar results to previous

research which demonstrated a clearly significant relationship between self-esteem and

physical activity (Koyuncu et al., 2010; Goldfield et al., 2015; McAuley et al., 2005;

Opdenacker, Delecluse & Boen, 2009). A potential explanation of the current study’s

findings is the study’s small sample size which may have skewed results and may not have

been representative of the wider Irish population. Another potential explanation is that the

determinants of self-esteem have changed since Sonstroem and Morgan’s (1989) original

theory. However this seems unlikely given the wealth of previous research in support of the

original theory. A further explanation might be found in the relative low level of alpha values

reported in the current study. It is possible that posing questions to participants about how

active they are in their work and leisure time may have caused participants to evaluate their

current situation in life and work. Therefore social desirability to situate them in a positive

light relative to their activity could have skewed responses. Further research should be

conducted to ascertain if self esteem scores are representative of the wider Irish population,

and perhaps include a social desirability scales in future research.

No significant relationship was found between total physical activity and overall body

image ratings which was again surprising. These findings contradict previous research which

has found that higher levels of physical activity are significantly associated with higher

ratings of body image (Fox, 1999; Korn et al., 2013; Koyuncu et a., 2010). A potential

explanation for the current findings is that physical activity alone may not be sufficient to

significantly impact body image. Previous research has found that a combination of increased

physical activity and other weight loss endeavours may work in tandem with physical activity

to improve body image (Annesi, & Porter, 2015; Taylor et al., 1985; Lox, Ginis, &

Petruzzello, 2011). Another explanation is potentially the gender divide in the current sample

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as it has been suggested that physical activity and body image are only significantly

correlated in males, (Altintaş et al. 2014) suggesting the existence of a gender effect. Finally,

the motivations for exercise may impact self-image scores, where a desire for a more positive

self-image is present with disordered eating, (Prichard, & Tiggemann, 2008). Interestingly

however, the current study found that the more physical activity undertaken in the working

environment held a negative relationship with body image but that physical activity

undertaken in the sporting environment held a positive correlation with body image. This

may suggest that the form of physical activity itself may impact body image and merits

further study.

Hypothesis 4 added an interesting result to the overall findings of this research. While

body image levels were reported to be significantly higher for those who engage in sport, this

significance is not present when controlling for the influence of resilience as a covariate.

These results suggest that the relationship between body image, physical activity and

resilience is complex. The results could be interpreted by regarding the potential of physical

activity to increase resilience, which may in turn aid in the hardiness of an individual and

increase their feelings of self worth and positive feelings about their body image.

Strengths

The main strength of the current study was the diverse sample size recruited from not

only third level education populations but also from members of the general public. This

ensured a wide cross-section of participants was assessed. Robust measures were also used to

ensure the reliability and validity of any results produced. Only scales which showed

exceptional levels of evaluation were accepted.

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Limitations

The current study was however limited by a number of factors. In comparison to

numerous previous studies the sample size utilised here was quite small (N = 122) which

makes generalising findings to the wider population challenging. This issue could be

addressed by recruiting a larger sample and devoting a longer timeframe to data collection to

ensure a wider cross section of Irish society is represented.

The current study did not examine gender differences across variables. Of most

concern is self-esteem, which has been shown to vary significantly across the genders,

(Gross, 2010). Considering the previous gender divides reported in physical activity and self-

esteem, (Furnham et al., 2002), further research could evaluate this issue by comparing males

and females regarding self-esteem and physical activity.

Due to methodological restrictions, the biological aspects of physical activity could

not be evaluated. This resulted in a major aspect of physical activity’s effect on psychological

factors not being explored. It has been suggested that physical activity’s benefits may be

mediated by physiological effects such as an increase in neurotransmitter concentrations or a

strengthening of brain tissue and a reduction in inflammation,(Cotman et al., 2007; Wipfli et

al., 2009). Further research utilising more advanced methods may help replicate these

findings in an Irish sample.

The current study’s findings are also limited by the use of purely quantitative methods

for data analysis and collection. As previously noted, the impact of physical activity on the

studied variables may be diverse and fluid in nature with biological aspects and may thus be

impossible to properly assess via questionnaire based research. Further research may address

this issue by perhaps utilising a qualitative approach or a mixed methods design to account

for the lived experience of physical activity’s impact on day to day life.

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Implications

The current findings lend support to previous research evaluating the relationship

between physical activity and the variables studied. Overall it can be stated that physical

activity provides benefit to the wider population. In light of the recent projections from the

WHO that Ireland may be the most obese nation in Europe by 2030, (WHO as cited in

Flaherty, 2015), physical activity is of paramount importance to the Irish people as a whole.

The most recent estimations suggest that more than 50% of the Irish population is not

enaging in the recommended amount of daily physical activity, (Hallal et al., 2012). In

addition the issue of mental health has become a concern in the Republic of Ireland, (HSE,

2015) at a population and statutory level. Given the established link between physical health

and psychological variables (e.g. self-esteem, body image), (RCPsych, 2012) the findings of

the current study could be utilised and furthered in future research and may inform

interventions. The role of resilience as a covariate or mediator of body image and physical

activity warrants further investigation; the link between physical activity and resilience may

be influenced by the type of activity, for example team sport versus gym workout. This could

be an important factor in increasing resilience through physical activity in the Irish youth in

an attempt to decrease levels of obesity and increase positive mental health. Nonetheless this

study has shed some light of physical activity’s benefits in the Irish population although

further research is needed to fully ascertain the specifics of this paradigm in the Irish

population and the potential future health benefits to the Irish people.

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Conclusion

In light of previous research and the findings of the current study it can be stated that

those who engage in regular physical activity tend to rate their body image higher than those

who do not stay active on a regular basis but that this may vary depending on the form of

activity. It can also be conclude that resilience may be weakly related to levels of physical

activity and that resilience in tandem with body esteem may be predictive of self-esteem. The

findings of the current study must however be interpreted with caution due to a small sample

size and the restricted use of quantitative data. Further research may help address these

limitations and ensure a higher level of generalisability to the wider Irish population.

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Appendix 1

Dear Sir/Madam,

My name is Thomas O’Donoghue and I am a final year psychology student at Dublin

Business School (DBS). I am writing to you, to ask you and the members/staff at your

organisation or business to take part in my research. The purpose of the study I am

conducting is to explore the relationship with body image and mental health. This is done by

examining the relationship between resilience, self esteem, body image and physical activity

of women and men in the Republic of Ireland.

I would appreciate your help with this research. The replies from you/your staffs are a

valuable tool to help understand the role of physical exercise in promoting positive mental

health. This research went through a strict ethical approval procedure and was fully approved

by DBS ethics board.

I would be very grateful if you can facilitate this research by providing questionnaires

to staff or members of your organisation/business over the age of 18 years. I can supply the

questionnaire in paper format or I can e-mail you a link to the online version of the

questionnaire. If you have any questions please contact me on:

Thomas O’Donoghue

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Participant Information

This research investigates whether an individual’s level of physical activities at work, at home

or playing sports, has an impact on your feelings about yourself and your body.

This research aims to be as representative of the general population in the Republic of Ireland

as possible. You have been asked to take part in this research because you are an adult over the

age of 18 years currently living in the Republic of Ireland. Exercise is an important part of

maintaining physical and mental health .By taking part; you can make an important contribution

to this research.

You will not be asked to put any identifying information on the questionnaire and all

information is completely anonymous. All data collected will be stored in accordance to the Data

Protection Act 1998. Responses will not be provided to any third party.

Your participation is completely voluntary. If you change your mind about taking part in the

research, you can stop at any point and your responses will not be included in the research.

There are no consequences for not taking part in this research. However, the anonymous nature

of this study means that once you submit your questionnaire you will not be able to withdraw.

The questionnaire will take approximately 30 minutes to complete.

Questionnaires will only be accessed by researchers involved in this research. The results may

be made public through scientific papers in peer reviewed academic journals, conference

presentation or local seminars.

This research is being untaken as part of a Degree in Psychology at Dublin Business School

(DBS), Dublin, Ireland by Thomas O’Donaghue. This research is not funded.

Research was reviewed by the Ethics Committee at DBS, Ireland

Contact for Further Information

Thomas O’Donoghue:

Supervisor:

Rosie Reid:

Appendix 2

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Appendix 3

Participant Consent

[Please mark an ‘x’ in the box beside each statement you agree with before continuing with the

questionnaire.]

By completing and returning this questionnaire, I confirm that:

□ I confirm that I have read and understood the Participant Information Sheet.

□ That I am over the age of 18 years.

□ In handing this questionnaire back to you, I consent to you using my question answers in this

research study.

□ I understand that I have the right to stop the questionnaire and withdraw from the research

at any point while completing the questionnaire.

□ I understand that once I have submitted my questionnaire I cannot withdraw as all

questionnaires are completely anonymous and cannot be traced.

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Appendix 4

Section 1

Take your time to go through this questionnaire and try to answer all questions. Please answer

the following questions and circle the answer that most closely applies to you:

Are you currently living in Ireland?

Yes

No

Gender:

Male

Female

What is your age?

18-24

years old

25-34

years old

35-44

years old

45-54

years old

55-64

years old

65-74

years old

75 years or

older

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Section 2

The following questions are about the types of activity you do each day. Please circle all the

items.

What is your main occupation? (please write below using BLOCK CAPITALS)

Use the following scale and circle one number for each statement to indicate how much you

disagree or agree with each of the statements.

1= never, 2 = seldom, 3 = sometimes, 4 = often, 5 = always

Question Never Seldom Sometimes Often always

At work I sit 1 2 3 4 5

At work I stand 1 2 3 4 5

At work I walk 1 2 3 4 5

Question Never Seldom Sometimes Often Very Often

At work I lift heavy

loads

1 2 3 4 5

At work I am tired 1 2 3 4 5

At work I sweat 1 2 3 4 5

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Question Much

lighter

Lighter As heavy Heavier Much

heavier

In comparison of

others of my own age I

think my work is

physically

1 2 3 4 5

Do you play sport?

Yes

NO

If yes, which sport do you play most frequently?

How many hours a week?

< 1

1-2 2-3 3-4 >4

How many months a year?

< 1

1-3 4-6 7-9 >9

Do you play a second sport?

Yes

NO

If yes, which sport is it?

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How many hours a week?

< 1

1-2 2-3 3-4 >4

How many months a year?

< 1

1-3 4-6 7-9 >9

Use the following scale and circle one number for each statement to indicate how much you

disagree or agree with each of the statements.

1= much more, 2 = more, 3 = the same, 4 = less, 5 = much less

Question Much

more

More The

same

Less Much

less

In comparison of others of my own

age I think my physical activity during

leisure time is

1 2 3 4 5

Use the following scale and circle one number for each statement to indicate how much you

disagree or agree with each of the statements.

1= never, 2 = seldom, 3 = sometimes, 4 = often, 5 = very often

Question Never Seldom Sometimes Often Very Often

During leisure time I

sweat

1 2 3 4 5

During leisure time I

play sport

1 2 3 4 5

During leisure time I

watch television

1 2 3 4 5

During leisure time I

walk

1 2 3 4 5

During leisure time I

cycle

1 2 3 4 5

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How many minutes do you walk and/or cycle per day to and from school and shopping?

< 5

5-15 15-30 30-45 >45

Use the following scale and circle one number for each statement to indicate how much you

disagree or agree with each of the statements.

1= strongly disagree, 2 = disagree, 3 = neutral, 4 = Agree, 5 = strongly Agree

I tend to bounce back quickly after hard times 1 2 3 4 5

I have a hard time making it through stressful

events

1 2 3 4 5

It does not take me long to recover from a

stressful event

1 2 3 4 5

It is hard for me to snap back when something

bad happens

1 2 3 4 5

I usually come through difficult times with little

trouble

1 2 3 4 5

I tend to take a long time to get over set-backs

in my life

1 2 3 4 5

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For each item, please circle your answer:

1= strongly Agree , 2 = Agree, 3 = Disagree and 3 = Strongly Disagree.

On the whole, I am satisfied with myself. 1 2 3 4

At times, I think I am no good at all. 1 2 3 4

I feel that I have a number of good qualities. 1 2 3 4

I am able to do things as well as most other people. 1 2 3 4

I feel I do not have much to be proud of. 1 2 3 4

I certainly feel useless at times. 1 2 3 4

I feel that I’m a person of worth, at least on an equal plane with others.

1 2 3 4

I wish I could have more respect for myself. 1 2 3 4

All in all, I am inclined to feel that I am a failure. 1 2 3 4

I take a positive attitude toward myself. 1 2 3 4

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81

Section 4

On this page are listed a number of body parts and functions. Please read each item and

indicate how you feel about this part of function of your own body using the following

scale:

1 = have strong negative feelings,

2 = have moderate negative feelings

3 = have no feeling one way or the other

4 = have moderate positive feelings

5 = have strong positive feelings

Body scent 1 2 3 4 5

Appetite 1 2 3 4 5

Nose 1 2 3 4 5

Physical stamina 1 2 3 4 5

Reflexes 1 2 3 4 5

Lips 1 2 3 4 5

Muscular strength 1 2 3 4 5

Waist 1 2 3 4 5

Energy level 1 2 3 4 5

Thighs 1 2 3 4 5

Ears 1 2 3 4 5

Biceps 1 2 3 4 5

Chin 1 2 3 4 5

Page 82: Regular Exercise and Emotional Resilience is Associated

82

On this page are listed a number of body parts and functions. Please read each item and

indicate how you feel about this part of function of your own body using the following

scale:

1 = have strong negative feelings,

2 = have moderate negative feelings

3 = have no feeling one way or the other

4 = have moderate positive feelings

5 = have strong positive feelings

Body build 1 2 3 4 5

Physical coordination 1 2 3 4 5

Buttocks 1 2 3 4 5

Agility 1 2 3 4 5

Width of shoulders 1 2 3 4 5

Arms 1 2 3 4 5

Chest or breasts 1 2 3 4 5

Appearance of eyes 1 2 3 4 5

Cheeks/cheekbones 1 2 3 4 5

Hips 1 2 3 4 5

Legs 1 2 3 4 5

Figure or physique 1 2 3 4 5

Sex drive 1 2 3 4 5

Feet 1 2 3 4 5

Sex organs 1 2 3 4 5

Appearance of

stomach

1 2 3 4 5

Page 83: Regular Exercise and Emotional Resilience is Associated

83

On this page are listed a number of body parts and functions. Please read each item and

indicate how you feel about this part of function of your own body using the following

scale:

1 = have strong negative feelings,

2 = have moderate negative feelings

3 = have no feeling one way or the other

4 = have moderate positive feelings

5 = have strong positive feelings

Health 1 2 3 4 5

Sex activities 1 2 3 4 5

Body hair 1 2 3 4 5

Physical condition 1 2 3 4 5

Face 1 2 3 4 5

Weight 1 2 3 4 5

Page 84: Regular Exercise and Emotional Resilience is Associated

84

Appendix 5

Participant Debriefing

[PLEASE DETACH AND KEEP THIS PAGE BEFORE RETURNING YOUR QUESTIONNAIRE]

Thank you for taking the time to complete this questionnaire.

This research aimed to investigate whether an individual’s level of physical activities at work, at

home or playing sports, has an impact on their feelings about them-self and their body. It is

hoped to understand the relationship between physical fitness and positive mental health in

order to advise and recommend changes to policy makers in Ireland on how to facilitate

programs to encourage physical fitness.

It is possible that in answering questions in this questionnaire about how you feel about

yourself and your body image, that questions evoked strong or stressful feelings. The following

are a list or organisation that you can contact if you feel you wish to talk to someone:

http://www.aware.ie/

http://suicideprevention.ie/

http://www.mentalhealthireland.ie/

http://www.bodywhys.ie/

If you have any questions about this research or would like a copy of the group results of this

research, please feel free to contact:

Thomas O’Donoghue:

Supervisor:

Rosie Reid: