risk factors for and impacts of visual impairment in older people the role of inequality presented...
TRANSCRIPT
Risk factors for and impacts of visual impairment in older people
The role of inequality
Presented by: James [email protected]
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Researchers
James Nazroo, Jennifer Whillans and Katey Matthews
Sociology, Cathie Marsh Institute and
Manchester Institute for Collaborative Research on Ageing.
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An ageing world
[Nothing] is more likely to shape economic, social, and political developments in the early twenty-first century than the simultaneous aging of Japan, Europe, and the United States… The human life cycle is undergoing unprecedented change. To preserve economic security, we must adapt the social institutions built around it to these new realities.
The Commission on Global Aging (1999)
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The importance of visual impairment
• More common in older ages• Rate of sight loss expected to rise
dramatically due to ageing UK population
There is limited understanding of broader factors related to the incidence and consequences of visual impairment.
Identifying those at risk and factors that minimise the impact of visual impairment, has important social and economic implications.
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Current evidence
Previous work demonstrates that older people with visual impairments have high levels of: Co-morbidity; Poverty; Social exclusion; Disability; and Low quality of life.
Most of this work has relied on cross-sectional analyses of associations between risk factors and the prevalence of visual impairment.
Causal mechanisms can be more convincingly identified using longitudinal data.
Core questions
1. How is change in vision patterned by socio-economic factors (wealth and subjective social status)?a. What factors predict deterioration in
vision?b. How are different trajectories of vision
change distributed in the population?
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Core questions
2. Is the uptake of treatment patterned by socio-economic factors?
3. What are the consequences of change in vision on psychological, social and economic wellbeing?
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The English Longitudinal Study of Ageing
A panel study of people aged 50 and older with six waves of data available.
Sample at wave 1 (2002) was approximately 11,400 people in private households.
Face to face interview every two years since 2002, with a four yearly biomedical nurse assessment.
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The English Longitudinal Study of Ageing
Detailed content on: demographics, health, physical and cognitive performance, biomarkers, wellbeing, economics, housing, employment, social relationships, social civic and cultural participation.
(www.ifs.org.uk/elsa)
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Assessment of vision in ELSA
Is your eyesight (using glasses or corrective lenses as usual): Excellent, Very good, Good, Fair, or Poor? (Blind)
Detailed validation of this assessment using The Irish Longitudinal Study of Ageing (TILDA)
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What predicts deterioration in vision?
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Fair or poor vision more likely to develop for the poorest
0 2 4 6 850%
60%
70%
80%
90%
100%Proportion with remaining good vision
Richest Fourth Middle Second Poorest
Years
Fourth Middle Second
Poorest
Fourth Middle Second
Poorest
0.5
1
1.5
2
2.5
3 Age adjusted hazard ratio compared with richest / highest status
Wealth Subjective social status
Both wealth and perceived social status predict onset of fair or poor vision
Ex Current Diabetes Hyper-tension0.8
1
1.2
1.4
1.6
1.8
2 Age adjusted odds ratio com-pared with those without the
behaviour/condition
Smoker
Health behaviours and conditions are important for the onset of fair or poor vision
Can we identify trajectories of vision?
And how are they distributed in the population?
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Trajectories of visual acuity and their distribution
Stable excellent or very good
30%
Stable good (fluctuation)30%
Stable fair (fluctuation)
5%
Poor and de-teriorating
4%
Deterioration from good
7%
Deterioration from excellent
8%
Improvement from good
10%
Deterioration followed by improvement
6%
Poorer people are much more likely to have sub-optimal compared with optimal vision
Richest Fourth Middle Second Poorest0%
5%
10%
15%
20%
25%
30%
35%
40%
Stable excel-lent or very good
Stable good (fluctuation)
Stable fair (fluctuation)
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Poorer people are more likely to have poor and deteriorating vision
Richest Fourth Middle Second Poorest0%
5%
10%
15%
20%
25%
30%
35%
Stable good (fluctuation)
Poor and de-teriorationg
Deteriorating from good
Deteriorating from excel-lent
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Improvements in vision are unrelated to wealth
Richest Fourth Middle Second Poorest0%
5%
10%
15%
20%
25%
30%
35%
Stable good (fluctuation)
Improve-ment from good
Deterioration followed by improvement
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What predicts uptake of treatment – cataract surgery?
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Age and vision predict cataract surgery, socioeconomic factors do not
60-69 70-79 80+ Fair Poor Has private
Age Visual acuity insurance
0.5
1
1.5
2
2.5
3
What are the consequences of change in vision?
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Deterioration of vision impacts on wellbeing, social participation and income
Depression Fall in quality of life
Low social engagement
Fall in income
0%5%
10%15%20%25%30%35%
Proportionate change in score
Partially adjusted
Fully adjusted
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Concluding comments (1)
The risk of developing visual impairment is strongly related to socioeconomic factors (wealth and subjective social status).
Socioeconomic inequalities are also present for trajectories of visual acuity. Decreasing levels of wealth and lower subjective social status were associated with a decreased probability of having an optimal vision trajectory and increased probability of having a suboptimal trajectory.
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Concluding comments (2)
However, socioeconomic factors are not related to the likelihood of having surgery for those with cataracts. An NHS effect?
Health related factors – smoking, diabetes and hypertension – were also all related to increased risk of onset of visual impairment.
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Concluding comments (3)
Changes in visual acuity, both deterioration and improvement in vision, were related to changes in levels of psychological wellbeing (depression and quality of life), social engagement and income over a two year period.
Stronger associations with these outcomes were present for deteriorations in vision than improvements in vision.
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Concluding comments (4)
These findings demonstrate marked socio-economic inequalities in risk of impaired vision and strong evidence on the relationship between change in vision and psychological, social and economic wellbeing.
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Concluding comments (5)
There is, therefore, a clear need for policy to: Minimise socioeconomic risks for
deterioration in visual acuity; Ensure equitable access to treatment,
including easy and free access to corrective lenses, and
Mitigate the negative effects of visual impairment.
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