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  • Archives of Gerontology and Geriatrics 55 (2012) 574579

    Family functioning and social support for older patients with depression in anurban area of Shanghai, China

    Jikun Wang *, Xudong Zhao

    Department of Psychiatry, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200092, China

    A R T I C L E I N F O

    Article history:

    Received 8 February 2012

    Received in revised form 31 May 2012

    Accepted 18 June 2012

    Available online 6 July 2012

    Keywords:

    Chinese

    Geriatric depression

    Family functioning

    Family Assessment Device

    Social support

    A B S T R A C T

    Purpose: Geriatric depression is now very common and leads to significant economic costs and family

    burden in China. Families with a depressed patient often report problematic family functioning in

    Western samples, and lack of social support is strongly associated with geriatric depression. However, the

    relationship between geriatric depression, family functioning and social support in mainland China has

    not been well studied.

    Materials and methods: This study compared family functioning and social support in a Chinese sample of

    elderly patients with major depression and non-depressed elderly people, and evaluated the impact of

    family functioning, social support and socio-demographic factors on depression. A questionnaire was

    administered to 102 elderly patients with major depression and 107 non-depressed elderly people.

    Results: The elderly patients with major depression had worse family functioning and lower social

    support than elderly individuals without depression. Multivariate linear regression analysis showed

    associations between depressive symptoms and unhealthy family functioning, lower social support and

    single marital status.

    Conclusions: The findings suggest that family interventions and improvement of social support are

    important in reducing depression among elderly patients. In addition, strategies to alleviate geriatric

    depression should be considered by the whole society, the community, family members and the

    depressed elderly patients themselves.

    2012 Elsevier Ireland Ltd. All rights reserved.

    Contents lists available at SciVerse ScienceDirect

    Archives of Gerontology and Geriatrics

    jo ur n al ho mep ag e: www .e lsev ier . c om / lo cate /ar c hg er

    1. Introduction

    With the rapidly aging population in China, increasing attention isbeing paid to the mental and physical health of older people.Depression is very common and represents a major mental disorderin those who are older (Back & Lee, 2011), adversely affecting dailyfunctioning and quality of life worldwide (Wada et al., 2005).Geriatric depression puts an immense burden on patients, theirfamilies and society as a whole (Chen et al., 2005). In addition,depression is a very costly disorder in China (Hu, He, Zhang, & Chen,2007). Providing effective treatment could result in a significantreductioninthetotalburdenassociated withdepression.Therefore, itis imperative to explore factors influencing the prognosis of geriatricdepression in China and improve treatment strategies. Family factorsand social support are two important aspects associated with healthin aging people (Leung, Chen, Lue, & Hsu, 2007).

    Family impairment refers to a familys inability to accomplishtasks that are important for their well being (Miller, Ryan, Keitner,

    * Corresponding author at: P.O. Box 244, Tongji University, Siping Road 1239,

    Shanghai 200092, China. Tel.: +86 21 65988874; fax: +86 21 65988874.

    E-mail address: [email protected] (J. Wang).

    0167-4943/$ see front matter 2012 Elsevier Ireland Ltd. All rights reserved.http://dx.doi.org/10.1016/j.archger.2012.06.011

    Bishop, & Epstein, 2000). Accumulating evidence has found thatimpaired family functioning is strongly associated with the courseof depression in older people. For example, some research hasdemonstrated that depression damages the mental and physicalheath of the elderly, and contributes to risk of suicide (Kaneko,Motohashi, Sasaki, & Yamaji, 2007). In addition, the caregivers ofolder people with depression report a significant burden (Xie,Zhang, Peng, & Jiao, 2010) and are likely to have depressivesymptoms, which can result in the impairment of familyfunctioning. One study found that family involvement had aneasing effect on psychological symptoms for people with medicaldiseases, and elderly people with mental problems benefited fromfamily interventions (Leung et al., 2007). Depressed men andwomen in a community have poorer family functioning than non-depressed individuals, and depression has a strong relationshipwith poorer marital functioning, suggesting that targeting onlydepressive symptoms in treatment may not be enough to resolvemarital difficulties that persist even when depressive symptomsremit (Herr, Hammen, & Brennan, 2007). Moreover, familyfunctioning and depression may interact with each other, whichmeans depression could affect family functioning, and familyfunctioning could affect the prognosis of depression (Restifo &Bogels, 2009).

    http://dx.doi.org/10.1016/j.archger.2012.06.011mailto:[email protected]://www.sciencedirect.com/science/journal/01674943http://dx.doi.org/10.1016/j.archger.2012.06.011
  • J. Wang, X. Zhao / Archives of Gerontology and Geriatrics 55 (2012) 574579 575

    The relationship between geriatric depression and social supporthas also received attention. For example, social support was found tohave a significant impact on mental health among elderly people inChinese rural districts (Xie et al., 2010). The buffering effects of socialsupport are considered to be dependent on the type of stress andsupport (Bisschop, Kriegsman, Beekman, & Deeg, 2004; Bisschop,Kriegsman, Deeg, Beekman, & van Tilburg, 2004). Another studyindicated that less emotional support is associated with moredepressive and anxiety symptoms in older people (Leung et al.,2007). Particularly, low social support can be dangerous for elderlyindividuals (Mazzella et al., 2010). A poor social network can lead tovulnerability and even death in this population (Clausen, Wilson,Molebatsi, & Holmboe-Ottesen, 2007).

    In summary, considerable research has shown that depressionhas a strong relationship with impaired family functioning andlack of social support. However, most research on the associationbetween geriatric depression and family functioning has beenconducted with Western samples. Few studies have exploredfamily functioning among Chinese older patients with depression.Culture is related to experiences and coping styles associated withdepression (Kleinman, 2004; Ryder et al., 2008). Furthermore,healthy and unhealthy family functioning may vary in differentcultures (Keitner et al., 1991). Previous research on the relationshipbetween social support and geriatric depression has mainlyemphasized instrumental and emotional social support (Leunget al., 2007) as well as subjective and objective social support andsupport utilization (Xie et al., 2010). However, studies have notexamined which aspects of social support come from individualssuch as family, friends and significant others.

    Thus, it is important to explore the characteristics of familyfunctioning and specific sources of social support for depressedelderly patients compared to non-depressed elderly people inChina. In addition, the association between depression and familyimpairment and social support in Chinese elderly patients withmajor depression should be examined. For the purpose ofimproving the prognosis and quality of life of those with geriatricdepression, we designed a cross-sectional questionnaire surveyaimed at (a) exploring the characteristics of perceived familyfunctioning and social support in elderly patients with majordepression and non-depressed elderly people in mainland China,(b) evaluating the association between depression and familyfunctioning, social support and socio-demographic factors amongelderly patients with major depression, and (c) exploring factorspredicting depression among elderly depressed patients.

    2. Materials and methods

    2.1. Sample

    The sample comprised 102 older Chinese patients who metDSM-IV-TR criteria (American Psychiatric Association, 2000) formajor depressive disorder and 107 non-depressed elderly peoplein the community. The patients came from the PsychiatryDepartment of Shanghai East Hospital affiliated with TongjiUniversity in Shanghai, China. Depressive symptoms wereassessed using the Geriatric Depression Scale (GDS) (Yesavageet al., 1983), with a score above 10 indicating depressedindividuals. The non-depressed elderly people were recruited inthe community through a neighborhood committee. Exclusioncriteria for all subjects included neurological disorders, severephysical problems and substance abuse or dependence within the3 months prior to the study. Control subjects did not have a currentpsychiatric disorder. This study was approved by the localInstitutional Review Board of Tongji University. Written informedconsent was obtained from all volunteer subjects after anexplanation of the study was provided.

    2.2. Instruments

    The GDS, Family Assessment Device (FAD) (Epstein, Baldwin, &Bishop, 1983; Miller, Epstein, Bishop, & Keitner, 1985), Multidimen-sional Scale of Perceived Social Support (MSPSS) (Zimet, Powell,Farley, Werkman, & Berkoff, 1990) and a self-designed questionnairefor collecting demographic data were used in the study.

    2.2.1. The GDS

    Depression in the older patients was assessed by the GDS, aninstrument used to assess depression in the elderly. It consists of30 items. Subjects are asked to respond based on their feelings inthe previous one week. Each item includes two answer choices:Yes or No, with each answer indicating depression assignedone point. Scores range from 0 to 30, with higher scores indicatinghigher levels of depression. The GDS has an internal consistency ofa = 0.85. Scores from 0 to 10 are considered in the normal range.Scores from 11 to 20 are considered to represent minimal to milddepression, and moderate to severe depression is indicated byscores of 2130.

    2.2.2. The FAD

    Family functioning was assessed using the Chinese version ofthe Family Assessment Device (FAD-CV). The FAD is a 60-item selfreport inventory that measures family members perceptions ofvarious aspects of family functioning according to the McMasterModel of Family Functioning (MMFF) (Miller et al., 2000). TheMMFF assesses six dimensions of family functioning: ProblemSolving (the ability of the family to resolve problems thatmaintains effective family functioning); communication (howfamily members exchange information with each other); roles(how the family assigns responsibilities in the family to ensurefulfillment of family functions); Affective Responsiveness (wheth-er the family members respond with a full spectrum of feelingsexperienced by human beings); Affective Involvement (thefamilys ability to be interested in each other); behavior control(rules that the family adopts to handle dangerous situations, tomeet psychobiological needs and interpersonal socializing behav-ior within and outside the family); and overall General Function-ing. Health pathology cutoff scores have been established for theFAD for each dimension of family functioning (Miller et al., 1994).Higher scores indicate worse family functioning. The validity andreliability of the Chinese FAD has been demonstrated (Shek, 2001,2002). The testretest reliability is 0.530.81, and coefficientalphas range from 0.53 to 0.94.

    2.2.3. The MSPSS

    The MSPSS is a 12-item self-report instrument with a seven-point scale (from 1 = strongly disagree to 7 = strongly agree) thatmeasures perceptions of social support from friends, family andsignificant others. Higher scores indicate lowerer perceivedsupport. The psychometric properties of the MSPSS werepreviously investigated in a Chinese sample in Hong Kong (Chou,2000). The MSPSS was used to assess social support in this studybecause of several advantages offered by it. First, it focuses on thesubjective feeling of social support that plays a significant role indepression. In addition, it evaluates three sources of social supportincluding family, friends and significant others. Finally, a 12-itemscale is easy to use (Chou, 2000).

    2.3. Data analysis

    Descriptive statistics were carried out for socio-demographicdata. Independent t-tests and x2 tests were used to analyzesociodemographic characteristics of the subjects between groups.Independent t-tests were used to compare the FAD scores and

  • Table 1Sociodemographic data of the depressed and non-depressed elderly groups,

    mean SD or n (%).

    Variables Depressed

    elderly

    Not-depressed

    elderly

    p=

    Number 102 107

    Age (years) 64.5 2.86 63.8 2.84 0.061Gender 0.356

    Male 46 (45.1) 52 (48.6)

    Female 56 (54.9) 55 (51.4)

    Education (years) 10.2 2.51 10.7 2.18 0.136Educational level

    Primary school 12 (11.8) 7 (6.5)

    Secondary school 45 (44.1) 40 (37.4)

    High school 38 (37.3) 55 (51.4)

    University 6 (5.9) 5 (4.7)

    Marital status

    Married (remarried) 88 (86.3) 102 (95.3)

    Single (never married,

    divorce or widowed)

    12 (13.7) 5 (4.7)

    GDS

    Mild 30 (29.4)

    Moderate/severe 72 (70.6)

    J. Wang, X. Zhao / Archives of Gerontology and Geriatrics 55 (2012) 574579576

    MSPSS scores between depressed elderly patients and non-depressed elderly people. Pearsons correlation was used to assessthe association between depression scores, FAD scores and socialsupport scores among depressed elderly patients. We usedmultiple linear regression with stepwise analysis to study thesignificant factors predictive of depression. All data wereperformed using the SPSS 13.0 statistical software package.

    3. Results

    3.1. General data

    The distribution of socio-demographic characteristics of the209 subjects is shown in Table 1. The resulting data represented102 depressed and 107 non-depressed elderly people. Subjectsranged in age from 60 to 80 years. The depressed elderly patientshad the following characteristics: 46 (45.1%) were male and 56(54.9%) were female; their mean age was 64.5 years (SD = 2.86);they had a mean of 10.2 years of schooling (SD = 2.51), and mostpatients (81.4%) had an educational level of secondary or highschool. The non-depressed elderly people had the followingcharacteristics: 52 (48.6%) were male and 55 (51.4%) were female;their mean age was 63.8 years (SD = 2.84); they had a mean of 10.7years of schooling (SD = 2.18), and most patients (88.8%) had aneducational level of secondary or high school. The t-test and x2 testshowed that there were no significant differences between

    Table 2Statistical comparison of parameters in the depressed group by independent t-tests, m

    Mild depression (n = 30)

    Family functioning

    PS 2.42 0.26 CM 2.39 0.34 RL 2.32 0.58 AR 2.39 0.36 AI 2.10 0.30 BC 2.60 0.20 GF 2.26 0.29

    Social support

    Total support 46.68 12.20 Family 13.22 5.22 Friends 21.69 4.59 Significant others 11.76 5.06

    Notes: PS, Problem Solving; CM, Communication; RL, Roles; AR, Affective Responsiven

    Unhealthy scores of FAD are underlined. High scores of FAD indicate worse family fun* p < 0.05.** p < 0.01.

    depressed elderly patients and non-depressed elderly people ingender, age or educational level (p > 0.05) (Table 1). Depressionscores for depressed elderly patients ranged from 30 (29.4%),indicating a mild level of depression, to 72 (70.6%), indicatingmoderate or severe depression.

    3.2. FAD and MSPSS scores in the depressed patients

    Table 2 lists the FAD and MSPSS scores for the depressed elderlypatients with mild or severe depression. Results of independent t-tests showed significant differences in FAD scores for ProblemSolving and Affective Involvement dimensions as well as MSPSSscores between the two groups. The elderly patients with severedepression had worse family functioning and lower social supportfrom family, friends and significant others (p < 0.01) than thosewith mild depression (Table 2). All scores for FAD dimensions werein the unhealthy range for depressed elderly patients with mild orsevere depression.

    3.3. FAD and MSPSS scores in the study groups

    Table 3 lists the FAD and MSPSS scores for the depressed elderlypatients and non-depressed elderly people. Results of independentt-tests showed significant differences in scores on the FAD andMSPSS between the two groups, except for the Roles dimension onthe FAD. The depressed elderly patients had worse familyfunctioning (p < 0.01) and lower social support from family,friends and significant others (p < 0.01) (Table 3). All dimensionsof the FAD (represented by subscale scores) for depressed elderlypatients were in the unhealthy range. For non-depressed elderlypeople, only the Behavioral Control score on the FAD was in theunhealthy range.

    3.4. Relationship between depression, family functioning and

    social support

    In our study, depression measured by the GDS was significantlypositively correlated with negative family functioning, whichinfluenced the depression scores directly, and was positivelyrelated to lower social support from family, friends and significantothers (p < 0.05) (Table 4).

    3.5. Socio-demographic factors, family functioning and social support

    predicting the level of depression among elderly depressed patients

    Table 5 shows the results of multivariate linear regression ofdepression with socio-demographic variables, family functioning

    ean SD.

    Severe depression (n = 72) t p

    2.63 0.57 2.596 0.011*2.48 0.29 0.883 0.3792.34 0.28 0.256 0.7992.47 0.59 0.786 0.4342.27 0.57 2.107 0.038*2.72 0.57 1.551 0.1242.30 0.54 0.417 0.677

    55.90 13.79 3.345 0.001**16.53 5.61 2.854 0.005**24.17 2.59 2.766 0.007**15.20 6.33 2.896 0.005**

    ess; AI, Affective Involvement; BC, Behavioral Control; GF, General Functioning.

    ctioning and high scores of MSPSS indicate lower social support.

  • Table 4Correlation between depression, family functioning and social support.

    Parameters 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11.

    1. Depression

    2. PS 0.334**

    3. CM 0.189 0.737**

    4. RL 0.112 0.752** 0.792**

    5. AR 0.209* 0.783** 0.804** 0.819**

    6. AI 0.404** 0.696** 0.587** 0.636** 0.555**

    7. BC 0.253* 0.848** 0.729** 0.745** 0.734** 0.709**

    8. GF 0.174 0.809** 0.822** 0.907** 0.889** 0.644** 0.801**

    9. Family support 0.396** 0.302** 0.368** 0.459** 0.519** 0.302** 0.273** 0.515**

    10. Friends support 0.347** 0.214* 0.259** 0.286** 0.336** 0.082 0.252** 0.256** 0.380**

    11. Significant others support 0.391** 0.322** 0.358** 0.481** 0.501** 0.303** 0.270** 0.509** 0.961** 0.389**

    Notes: PS, Problem Solving; CM, Communication; RL, Roles; AR, Affective Responsiveness; AI, Affective Involvement; BC, Behavioral Control; GF, General Functioning.* p < 0.05.** p < 0.01.

    Table 3Statistical comparison of parameters in the two groups by independent t-tests, mean SD.

    Depressed elderly Normal elderly t p

    Family functioning

    PS 2.46 0.46 2.04 0.35 7.328 0.0001**CM 2.39 0.51 2.10 0.29 5.055 0.0001**RL 2.30 0.45 2.22 0.20 1.774 0.077AR 2.38 0.50 2.12 0.36 4.435 0.0001**AI 2.20 0.30 2.08 0.54 1.980 0.049*BC 2.61 0.44 2.22 0.27 7.881 0.0001**GF 2.25 0.44 1.96 0.26 5.669 0.0001**

    Social support

    Total support 49.08 13.29 25.59 9.18 14.927 0.0001**Family 14.08 5.53 7.50 3.06 10.638 0.0001**Friends 22.34 4.25 9.79 3.32 23.712 0.0001**Significant others 12.66 5.63 8.21 3.38 6.914 0.0001**

    Notes: PS, Problem Solving; CM, Communication; RL, Roles; AR, Affective Responsiveness; AI, Affective Involvement; BC, Behavioral Control; GF, General Functioning.

    Unhealthy scores of FAD are underlined. High scores of FAD indicate worse family functioning and high scores of MSPSS indicate lower social support.* p < 0.05.** p < 0.01.

    Table 5Multivariate linear regression with the GDS as the dependent variable among the depressed elderly patients.

    B p< 95% CI Adjusted R2 R2

    Constant 31.725

    PS 4.374 0.004** 1.629 to 7.492

    CM 0.682 0.533 1.484 to 2.849

    RL 3.519 0.049* 0.346 to 7.255

    AR 1.160 0.422 1.698 to 4.018AI 2.784 0.001** 1.278 to 4.497

    BC 0.216 0.895 3.035 to 3.467GF 2.976 0.202 1.623 to 7.574Family support 0.243 0.180 0.599 to 0.114Friend support 0.229 0.002** 0.091 to 0.369

    Other support 0.049 0.778 0.391 to 0.294Marital status 1.914 0.036* 0.181 to 3.069 0.455 0.514

    Notes: PS, Problem Solving; CM, Communication; RL, Roles; AR, Affective Responsiveness; AI, Affective Involvement; BC, Behavioral Control; GF, General Functioning. Total

    n = 102.* p < 0.05.** p < 0.01.

    J. Wang, X. Zhao / Archives of Gerontology and Geriatrics 55 (2012) 574579 577

    and social support. Five variables entered into the regressionmodel. Problem Solving, Roles and Affective Involvement dimen-sions of family functioning as well as social support from friendswere positively related to level of depression, and marital status(including never married, divorced or widowed) was negativelyassociated with level of depression (Table 5).

    4. Discussion

    The health of older people in developed countries is considereda significant issue, and considerable research has focused on

    psychological and physical health among the aging population(Chalise, Saito, Takahashi, & Kai, 2007). Old age is related tophysical as well as psychological health issues, including lonelinessand depression (Carruth & Logan, 2002). Depression has beenshown to be strongly associated with family dysfunction inWestern countries. China has experienced rapid economicdevelopment, and the population has been aging rapidly overrecent years (Dong, Beck, & Simon, 2010). Depression is one of themost common psychiatric disorders in elderly people in Chineserural districts (Xie et al., 2010). Less social support, worse familyfunctioning and a higher level of depression may be related to

  • J. Wang, X. Zhao / Archives of Gerontology and Geriatrics 55 (2012) 574579578

    quality of life among older people. Therefore, focusing on therelationship between family functioning and social support amongolder patients with depression is helpful in formulating effectiveinterventions to improve the prognosis of geriatric depression inChina.

    Some research has found that the severity of depression isrelated to impairment of family functioning. The current studyshowed that the older patients with severe depression perceivedmore severe family impairment and lower social support fromfamily, friends and other significant people in their lives. Thisfinding suggests that clinicians should pay more attention tofamily interventions for older patients with more severe depres-sion.

    Family functioning is strongly associated with depression, withan interaction between the two. For example, less psychologicaldistress has been reported by elderly people perceiving morefamily involvement (Leung et al., 2007). Therefore, there is a greatneed for research on the role of family functioning in the course ofgeriatric depression. In our study, scores on most dimensions offamily functioning for elderly depressed patients were higher thanthose for the non-depressed elderly people, except for Roles. Inaddition, all scores on dimensions of the FAD for depressed elderlypatients were in the unhealthy range. All findings indicatedunhealthy family functioning among depressed elderly patients,suggesting that the treatment of geriatric depression shouldinclude family interventions. Family is considered a significantsource of support for elderly people in China because the cultureemphasizes the whole family system including nuclear andextended family, as well as collectivism (Leung et al., 2007). Inaddition, FAD scores for Behavioral Control among non-depressedelderly people were also in the unhealthy range. TraditionalChinese values emphasize that the rules of the family shouldconform to hierarchical rules such as submissiveness of wife tohusband and son to father. However, industrialization andurbanization have led to social changes that have significantlyinfluenced the traditional values of Chinese families (Tam &Neysmith, 2006). Thus, the unhealthy scores for Behavioral Controlmay indicate the impact of social adjustment and adaptation onthe rules of the family.

    The results of the current study also indicated that socialsupport from family, friends and significant others of elderlydepressed patients was significantly lower than that for non-depressed elderly people. Social support can modulate theinfluence of stressful events on mental health. For example, bettersocial support can reduce the effect of stressful events onpsychological health and decrease the incidence of depression(Mohr & Genain, 2004). In addition, social support is positivelyrelated to psychological and physical health (Huo & Zhang, 2007).Some research has indicated that the empty nest elderly in Chineserural districts experience a lack of social support (Xie et al., 2010).With the development of the Chinese economy, there is limitedsocial support for elderly people because their children may departto study or work earlier than before (Wang & Zhao, 2012). Thus,elderly people with depression may experience a lack of emotionalsupport from their children. This finding suggests that it isimportant for older depressed patients to receive more socialsupport from the community, friends and other family members.

    In this study, depression was significantly correlated withfamily functioning and social support. Depression, as measured bythe GDS, was positively associated with social support scores andFAD scores. Research studies have repeatedly found that familyfunctioning is strongly correlated with the development andprognosis of depression. Improving family functioning couldimprove the prognosis of geriatric depression. Social supportplays a significant role in the incidence of depression (Peirce, Frone,Russell, Cooper, & Mudar, 2000). Therefore, improved family

    functioning and increased social support could minimize theoccurrence of depression.

    To develop effective measures to reduce depression levelsamong elderly people, factors predicting the level of depressionshould be identified. Some research has found that female gender,single status, functional impairment, physical disease, lack ofsocial support, lack of religious beliefs and low economic status arerisk factors for geriatric depression (Avila-Funes, Garant, & Aquilar-Navarro, 2006; Beekman et al., 2001; Bruce & Hoff, 1994; Prince,Harwood, Thomas, & Mann, 1998; Xie et al., 2010). In our study,multivariate linear regression analysis indicated that ProblemSolving, Roles and Affective Involvement dimensions of familyfunctioning as well as social support from friends were positivelyassociated with depression. The elderly depressed patients hadworse family functioning and lower social support. Unhealthyfamily functioning may increase the level of depression in theelderly because mental and physical disorders make socialactivities difficult (Xie et al., 2010), and elderly patients arereluctant to keep contact with friends, neighbors and other familymembers. Furthermore, the spouses of depressed elderly patientsmay have a considerable burden due to taking care of theirdepressed family member. In families with a depressed elderlypatient, it can be very difficult to solve many family problems andmarital conflicts, and family members may find it difficult to copewith the household responsibilities. Additionally, the mostimportant source of social support from family for elderly patientsis often the spouse. However, because of the long-term burden onthem, the spouses of elderly patients may not continue toemphasize the Affective Involvement and interests of their spouse.Thus, poor family functioning in regard to Problem Solving, Rolesand Affective Involvement can be predictive factors for geriatricdepression. Moreover, social support from other sources includingfriends, social resources and other relatives could be important inimproving the prognosis of geriatric depression. Thus, socialsupport from friends could be considered another predictive factorfor depression among elderly patients.

    Consistent with a previous study (Xie et al., 2010), the results ofthe current study revealed that single marital status (nevermarried, divorced or widowed) was related to a higher level ofdepression among elderly patients. Being married or cohabitingcan contribute significantly to being socially connected, and socialsupport from family, friends, neighbors, the community and othersocial groups are significant influencing factors on life satisfactionin elderly people (Enkvist, Ekstrom, & Elmstahl, 2012). Thus, forsingle elderly patients with depression, more attention should bepaid to social support from family members and the community.

    5. Study limitations

    Some limitations of the present study must be acknowledged.First, it is a cross-sectional design. Longer term follow-up studiesare needed to explore the specific impact of family functioning andsocial support on geriatric depression. Second, because theresearch is based on Chinese elderly patients with depression inShanghai, there is a need to replicate and assess the findings indifferent Chinese districts. Third, the study sample included onlyoutpatients. Future studies should use larger samples and includeinpatients. Last, only one family member completed the FAD in thisstudy. The results reflect an individual not a family perspective onfamily functioning, and future studies might include othermethods (e.g., objective assessment of family functioning) as well.

    6. Conclusions

    The results of the current study indicate that elderly patientswith major depression had worse family functioning and lower

  • J. Wang, X. Zhao / Archives of Gerontology and Geriatrics 55 (2012) 574579 579

    social support than non-depressed elderly people, and there werecorrelations between depression and family functioning as well associal support. Problem Solving, Roles and Affective Involvementdimensions of family functioning, social support from friends andmarital status were significant predictors of depression in elderlypatients. To reduce depression in this population, more familyinterventions should be undertaken. Multidimensional societalstrategies to reduce the depression of elderly patients should beconsidered involving social support from friends, other familymembers and social groups (Xie et al., 2010).

    Conflict of interest statement

    None.

    Acknowledgements

    This study was supported by a grant from the Ministry ofScience and Technology (2009BAI77B05). The authors wish tothank all of the people who assisted them in the study.

    References

    American Psychiatric Association. (2000). Diagnostic and statistical manual of mentaldisorders (4th ed., text rev.). Washington, DC: American Psychiatric Association.

    Avila-Funes, J. A., Garant, M. P., & Aquilar-Navarro, S. (2006). Relationship betweendetermining factors for depressive symptoms and for dietary habits in older adultsin Mexico. Revista Panamericana de Salud Publica, 19, 321330.

    Back, J. H., & Lee, Y. (2011). Gender differences in the association between socioeco-nomic status (SES) and depressive symptoms in older adults. Archives of Gerontol-ogy and Geriatrics, 52, e140e144.

    Beekman, A. T., Deeg, D. J., Geerlings, S. W., Schoevers, R. A., Smit, J. H., & van Tilburg, W.(2001). Emergence and persistence of late life depression: A 3-year follow-up of theLongitudinal Aging Study Amsterdam. Journal of Affective Disorders, 65, 131138.

    Bisschop, M. I., Kriegsman, D. M., Beekman, A. T., & Deeg, D. J. (2004). Chronic diseasesand depression: The modifying role of psychosocial resources. Social Science &Medicine, 59, 721733.

    Bisschop, M. I., Kriegsman, M. W., Deeg, D. J., Beekman, A. T. F., & van Tilburg, W. (2004).The longitudinal relation between chronic diseases and depression in olderpersons in the community: The Longitudinal Aging Study Amsterdam. Journal ofClinical Epidemiology, 57, 187194.

    Bruce, M. L., & Hoff, R. A. (1994). Social and physical health risk factors for first-onsetmajor depressive disorder in a community sample. Social Psychiatry and PsychiatricEpidemiology, 29, 165171.

    Carruth, A. K., & Logan, C. A. (2002). Depressive symptoms in farm women: Effects ofhealth status and farming lifestyle characteristics, behaviors and beliefs. Journal ofCommunity Health, 27, 213228.

    Chalise, H. N., Saito, T., Takahashi, M., & Kai, I. (2007). Relationship specializationamongst sources and receivers of social support and its correlations with loneli-ness and subjective well-being: A cross sectional study of Nepalese older adults.Archives of Gerontology and Geriatrics, 44, 299314.

    Chen, R., Wei, L., Hu, Z., Qin, X., Copeland, J. R., & Hemingway, H. (2005). Depression inolder people in rural China. Archives of Internal Medicine, 165, 20192025.

    Chou, K. L. (2000). Assessing Chinese adolescents social support: The multidimensionalscale of perceived social support. Personality and Individual Differences, 28, 299307.

    Clausen, T., Wilson, A. O., Molebatsi, R. M., & Holmboe-Ottesen, G. (2007). Diminishedmental- and physical function and lack of social support are associated with shortersurvival in community dwelling older persons of Botswana. BMC Public Health, 7, 144.

    Dong, X. Q., Beck, T., & Simon, M. A. (2010). The associations of gender, depression andelder mistreatment in a community-dwelling Chinese population: The modifyingeffect of social support. Archives of Gerontology and Geriatrics, 50, 202208.

    Enkvist, A., Ekstrom, H., & Elmstahl, S. (2012). What factors affect life satisfaction (LS)among the oldest-old? Archives of Gerontology and Geriatrics, 54, 140145.

    Epstein, N. B., Baldwin, L. M., & Bishop, D. S. (1983). The McMaster Family AssessmentDevice. Journal of Marital and Family Therapy, 9, 171180.

    Herr, N. R., Hammen, C., & Brennan, P. A. (2007). Current and past depression aspredictors of family functioning: A comparison of men and women in a communitysample. Journal of Family Psychology, 21, 694702.

    Hu, T. W., He, Y. L., Zhang, M. Y., & Chen, N. (2007). Economic costs of depression inChina. Social Psychiatry and Psychiatric Epidemiology, 42, 110116.

    Huo, Y. L., & Zhang, G. Q. (2007). Correlation of depression with social support, copingstyle and mental defense mechanism in patients with maintenance hemodialysis.Journal of Clinical Rehabilitative Tissue Engineering Research, 11, 1065410657, (inChinese).

    Kaneko, Y., Motohashi, Y., Sasaki, H., & Yamaji, M. (2007). Prevalence of depressivesymptoms and related risk factors for depressive symptoms among elderly personsliving in a rural Japanese community: A cross-sectional study. Community MentalHealth Journal, 43, 583590.

    Keitner, G. I., Fodor, J., Ryan, C. E., Miller, I. W., Bishop, D. S., & Epstein, N. B. (1991). Across-cultural study of major depression and family functioning. Canadian Journalof Psychiatry. Revue Canadienne de Psychiatrie, 36, 254259.

    Kleinman, A. (2004). Culture and depression. New England Journal of Medicine, 10, 951953.

    Leung, K. K., Chen, C. Y., Lue, B. H., & Hsu, S. T. (2007). Social support and familyfunctioning on psychological symptoms in elderly Chinese. Archives of Gerontologyand Geriatrics, 44, 203213.

    Mazzella, F., Cacciatore, F., Galizia, G., Della-Morte, D., Rossetti, M., Abbruzese, R., et al.(2010). Social support and long-term mortality in the elderly: Role of comorbidity.Archives of Gerontology and Geriatrics, 51, 323328.

    Miller, I. W., Epstein, N. B., Bishop, D. S., & Keitner, G. I. (1985). The McMaster FamilyAssessment Device: Reliability and validity. Journal of Marital and Family Therapy,11, 345356.

    Miller, I. W., Kabacoff, R. I., Epstein, N. B., Bishop, D. S., Keitner, G. I., Baldwin, L. M., et al.(1994). The development of a clinical rating scale for the McMaster model of familyfunctioning. Family Process, 33, 5369.

    Miller, I. W., Ryan, C. E., Keitner, G. I., Bishop, D. S., & Epstein, N. B. (2000). The McMasterApproach to Families: Theory, assessment, treatment and research. Journal ofFamily Therapy, 22, 168189.

    Mohr, D. C., & Genain, C. (2004). Social support as a buffer in the relationship betweentreatment for depression and T-cell production of interferon gamma in patientswith multiple sclerosis. Journal of Psychosomatic Research, 57, 155158.

    Peirce, R. S., Frone, M. R., Russell, M., Cooper, M. L., & Mudar, P. (2000). A longitudinalmodel of social contact, social support, depression, and alcohol use. Health Psy-chology, 19, 2838.

    Prince, M. J., Harwood, R. H., Thomas, A., & Mann, A. H. (1998). A prospective popula-tion-based cohort study of the effects of disablement and social milieu on the onsetand maintenance of late-life depression. The Gospel Oak Project VII. PsychologicalMedicine, 28, 337350.

    Restifo, K., & Bogels, S. (2009). Family processes in the development of youth depres-sion: Translating the evidence to treatment. Clinical Psychology Review, 29, 294316.

    Ryder, A. G., Yang, J., Zhu, X. Z., Yao, S., Heine, S. J., & Bagby, R. M. (2008). The culturalshaping of depression: Somatic symptoms in China, psychological symptoms inNorth America? Journal of Abnormal Psychology, 2, 300313.

    Shek, D. T. (2001). The General Functioning Scale of the Family Assessment Device:Does it work with Chinese adolescents? Journal of Clinical Psychology, 57, 15031516.

    Shek, D. T. (2002). Assessment of family functioning in Chinese adolescents: TheChinese version of the Family Assessment Device. Research on Social Work Practice,12, 502524.

    Tam, S., & Neysmith, S. (2006). Disrespect and isolation: Elder abuse in Chinesecommunities. Canadian Journal on Aging, 25, 141151.

    Wada, T., Ishine, M., Sakagami, T., Kita, T., Okumiya, K., Mizuno, K., et al. (2005).Depression, activities of daily living, and quality of life of community-dwellingelderly in three Asian countries: Indonesia, Vietnam, and Japan. Archives ofGerontology and Geriatrics, 41, 271280.

    Wang, J. K., & Zhao, X. D. (2012). Empty nest syndrome in China. International Journal ofSocial Psychiatry, 58, 110.

    Xie, L. Q., Zhang, J. P., Peng, F., & Jiao, N. N. (2010). Prevalence and related influencingfactors of depressive symptoms for empty-nest elderly living in the rural area ofYongZhou, China. Archives of Gerontology and Geriatrics, 50, 2429.

    Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., et al. (1983).Development and validation of a geriatric depression screening scale: A prelimi-nary report. Journal of Psychiatric Research, 17, 3749.

    Zimet, G. D., Powell, S. S., Farley, G. K., Werkman, S., & Berkoff, K. A. (1990). Psycho-metric characteristics of the multidimensional scale of perceived social support.Journal of Personality Assessment, 55, 610617.

    Family functioning and social support for older patients with depression in an urban area of Shanghai, ChinaIntroductionMaterials and methodsSampleInstrumentsThe GDSThe FADThe MSPSSData analysisResultsGeneral dataFAD and MSPSS scores in the depressed patientsFAD and MSPSS scores in the study groupsRelationship between depression, family functioning and social supportSocio-demographic factors, family functioning and social support predicting the level of depression among elderly depressed patientsDiscussionStudy limitationsConclusionsConflict of interest statementAcknowledgementsReferences