Journal of Peking University (Health Sciences) ›› 2020, Vol. 52 ›› Issue (3): 500-505. doi: 10.19723/j.issn.1671-167X.2020.03.016

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Research on equity and influencing factors of disability among Chinese middle-aged and old people

Zhe-bin WANG,Zhi-jie ZHENG()   

  1. Department of Global Health, Peking University School of Public Health, Beijing 100191, China
  • Received:2020-02-17 Online:2020-06-18 Published:2020-06-30
  • Contact: Zhi-jie ZHENG E-mail:zhengzj@bjmu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(71904004)

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Abstract:

Objective: To evaluate disability status and equity of the middle-aged and old population in China, and to explore the influencing factors contributing to the inequity of disability.Methods: This study was based on data collected from the first wave survey (2007—2010) of World Health Organization Study on Global Ageing and Adult Health (SAGE). Concentration index (CI) and concentration curve were calculated to measure the economic-related inequity of disability among the Chinese middle-aged and old people. The CI was further decomposed in which the attributions of social and individual determinants were calculated.Results: The mean score of the World Health Organization Disability Assessment Sche-dule (WHODAS) was 7.32 among the Chinese middle-aged and old people, 6.37 for males and 8.21 for females. The CI for the whole participants was -0.190 9, compared with -0.184 4 for the middle-aged and old men and -0.196 1 for the women. After decomposition of the CI, socioeconomic status contributed most to disability inequity among the Chinese middle-aged and old population. Financial status, educational level and work type contributed 66.41%, 16.45% and 13.10% respectively to inequity of disability. Individual lifestyle factors, including tobacco use, alcohol consumption and physical activities, contributed less to inequity of disability compared with social structural determinants.Conclusion: There was inequity of disability among Chinese middle-aged and old population, and those with better financial status were less likely to suffer from functional disability. Middle-aged and old males were less disabled than females, and had less inequity of disability. Financial status, educational level and work type took the highest contribution to inequity of disability among Chinese middle-aged and old population, suggesting that promoting healthy lifestyles alone cannot effectively reduce the inequity of disability. The government needs to continually strengthen and improve appropriate social and medical protection measures on the basis of the importance it attaches to the health of the middle-aged and old population, and makes reducing health inequities a policy priority. The government should pay attention to the provision of healthcare and other resources in areas where development is relatively lagging and where there is a relative concentration of middle-aged and old population. Meanwhile, there should be more significant support for research on health status and equity among the middle-aged and old population to obtain more evidence for proactive responses to rapid population aging in China and policy development.

Key words: Middle-aged and old people, Disability, Equity, Concentration index

CLC Number: 

  • R197.1

Table 2

Concentration index of disability among Chinese middle-aged and old people"

Items Concentration index 95% confidence interval
All -0.190 9 -0.335 7 to -0.046 1
Male -0.184 4 -0.329 3 to -0.039 6
Female -0.196 1 -0.340 8 to -0.051 4

Table 1

Distribution and WHODAS scores among different demographic characteristics in Chinese middle-aged and old population"

Variables Percentage WHODAS score, x?±s
Average WHODAS score n=11 656 7.32±10.76
Gender
Male 48.40% 6.37±10.23
Female 51.60% 8.21±11.16
Age/years
50-59 43.39% 4.32±6.86
60-69 29.94% 6.91±9.40
70-79 21.24% 11.17±13.27
80 and above 5.42% 18.42±18.10
Economic status
Lowest 20.00% 11.74±13.12
Low and middle 20.00% 8.68±11.34
Middle 20.01% 7.43±10.65
Middle and high 20.00% 5.52±8.84
Highest 20.00% 3.21±6.70
Education
Beyond college/university 4.18% 3.10±7.03
High school 11.80% 3.90±7.17
Junior high school 19.54% 4.69±8.06
Primary school 20.35% 6.57±9.67
Less than primary school 18.57% 7.30±9.44
No formal education 25.56% 12.19±13.95
Employment
Never work 12.06% 11.11±12.83
Public 35.66% 5.39±8.81
Private 8.85% 4.56±8.43
Self 41.00% 8.41±11.55
Informal 2.42% 8.24±11.02
Residence
Urban 46.48% 6.01±9.70
Rural 53.52% 8.45±11.48
Marital status
Currently married 82.99% 6.42±9.78
Other marital status 17.01% 11.68±13.82
Household size
Single 10.84% 9.59±11.98
Two person 46.53% 7.39±10.56
Three persons 18.77% 6.40±10.37
Four persons and above 23.87% 6.85±10.72
Medical insurance
With medical insurance 87.91% 7.10±10.77
No medical insurance 12.09% 8.87±10.56
Tobacco use
Never smoke 66.35% 7.65±10.91
Not current smoker 6.42% 8.24±13.21
Smoker, not daily 2.43% 6.81±11.48
Current daily smoker 24.80% 6.24±9.43
Alcohol consumption
Never drink 69.00% 7.86±11.19
Infrequent drinker 10.21% 8.04±12.20
Frequent drinker 20.79% 5.19±8.00
Physical activity
High level 39.96% 5.63±7.67
Moderate level 28.23% 6.24±8.85
Low level 31.81% 10.39±14.38

Figure 1

Concentration curve for disability among Chinese population"

Table 3

Contribution percentages of determinates to concentration index among Chinese middle-aged and old people"

Variables Contribution percentages
All Male Female
Financial status 65.58% 76.25% 55.36%
Education 16.56% 11.84% 19.02%
Employment 12.90% 12.99% 10.58%
Residence 10.66% 2.23% 20.79%
Marital status 3.78% 3.38% 4.17%
Household size -1.46% -0.79% -0.71%
Medical insurance -0.21% -1.13% 0.65%
Tobacco use -0.26% 0.12% -1.43%
Alcohol consumption 0.32% 0.34% 0.22%
Physical activity -4.95% -5.29% -4.48%
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