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Table 11 Examine the extent to which lifestyle or psychosocial factors explained the effect of socio-economic status on good SRH

From: Determinants of and socio-economic disparities in self-rated health in China

Variables

Category

Model 3b

Model 4b

Model 5b

  

OR

95% CI

OR

95% CI

OR

95% CI

Demographic characteristics

 Gender

Female

1.00

 

1.00

 

1.00

 
 

Male

1.22***

(1.03–1.45)

1.18*

(0.97–1.43)

1.22**

(1.02–1.45)

 Age group

18–29

1.00

 

1.00

 

1.00

 
 

30–39

0.41***

(0.28–0.60)

0.39***

(0.26–0.57)

0.45***

(0.30–0.67)

 

40–49

0.27***

(0.19–0.40)

0.25***

(0.17–0.37)

0.30***

(0.20–0.45)

 

50–59

0.17***

(0.11–0.25)

0.15***

(0.10–0.22)

0.19***

(0.12–0.28)

 

60–69

0.15***

(0.10–0.22)

0.13***

(0.09–0.20)

0.13***

0.08–0.20)

 

70+

0.13***

(0.08–0.20)

0.12***

(0.08–0.19)

0.11***

(0.07–0.18)

 Marital status

Divorced, separated, and widowed

1.00

 

1.00

 

1.00

 
 

Married

1.15

(0.89–1.48)

1.14

(0.88–1.47)

0.94

(0.71–1.25)

 

Single

0.74

(0.47–1.16)

0.73

(0.47–1.15)

0.71

(0.44–1.15)

 Residence

Rural

1.00

 

1.00

 

1.00

 
 

Urban

1.03

(0.84–1.26)

0.98

(0.80–1.20)

1.03

(0.83–1.29)

 Regions

West

1.00

 

1.00

 

1.00

 
 

East

1.40***

(1.14–1.72)

1.37***

(1.11–1.69)

1.20

(0.96–1.50)

 

Middle

1.23**

(1.00–1.51)

1.23**

(1.00–1.51)

1.14

(0.92–1.42)

 

Northeast

2.02***

(1.55–2.63)

2.04***

(1.56–2.67)

1.69***

(1.26–2.26)

Socio-economic status

 Education degree

Primary or no education

1.00

 

1.00

 

1.00

 
 

Secondary education

1.21**

(1.02–1.46)

1.17

(0.97–1.40)

1.09

(0.89–1.32)

 

College or higher

1.32*

(0.98–1.77)

1.23

(0.90–1.66)

1.16

(0.85–1.60)

 Work status

Not working

1.00

 

1.00

 

1.00

 
 

Non-farm work

1.61***

(1.31–1.98)

1.61***

(1.30–1.98)

1.58***

(1.26–1.97)

 

Farm work

1.51***

(1.19–1.91)

1.49***

(1.18–1.89)

1.50***

(1.16–1.94)

 Household Income (RMB/dollars)

≤¥9999 (≤$1,510)

1.00

 

1.00

 

1.00

 
 

¥10000–49999 ($1,510–7,550)

1.54***

(1.25–1.92)

1.52***

(1.22–1.88)

1.25*

(0.98–1.59)

 

¥50000–99999 ($7,550–15,099)

1.77***

(1.31–2.37)

1.68***

(1.25–2.27)

1.17

(0.85–1.62)

 

≥¥100000 (≥$15,099)

1.94***

(1.34–2.79)

1.85***

(1.28–2.68)

1.34

(0.90–1.99)

Lifestyle factors

 BMI

Normal weight

  

1.00

   
 

Underweight

  

0.65***

(0.50–0.84)

  
 

Over weight

  

1.01

(0.83–1.23)

  
 

Obese

  

0.70

(0.44–1.12)

  

 Physical activity

Inactive

  

1.00

   
 

Active

  

1.30***

(1.09–1.53)

  

 Smoking habit

No

  

1.00

   
 

Yes

  

1.18

(0.96–1.44)

  

Psychosocial factors

 Life satisfaction

Happy life

    

1.00

 
 

Unhappy life

    

0.56***

(0.42–0.75)

 

Average

    

0.68***

(0.55–0.83)

Depression

Severe

    

1.00

 
 

Mild

    

1.87***

(1.39–2.51)

 

Few or no

    

7.55***

(5.72–9.96)

Pseudo R2

 

0.1154

 

0.1806

 

0.2071

 
  1. Model 3b controlled for demographic characteristics (except ethnicity variable, which was not correlated with SRH in univariate analysis) and socio-economic status factors
  2. Model 4b also controlled lifestyle factors in addition to the factors controlled in model 3b
  3. Model 5b also controlled for psychosocial factors in addition to the factors controlled in model 3b
  4. OR odds ratio, 95% CI 95% Confidence Intervals
  5. ***p < 0.01, **p < 0.05, *p < 0.1
  6. Note:
  7. Data were from the Chinese General Social Survey (2010). The structure of the questionnaire in 2010 is similar to that in 2013
  8. Since only 3,337 respondents reported smoking habit, so the data from these 3,337 respondents were complete
  9. “Two subjective socio-economic status” variables and “Relationship with families and friends” can not be obtained from the dataset 2010. But we add “Smoking habit” variable (Yes = 1 No = 0) in the analysis
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International Journal for Equity in Health

ISSN: 1475-9276

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