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Table 4 Independent effects of covariates on self-rated health and unhealthy days in individuals, China, 2010

From: Self-rated health and health-related quality of life among Chinese residents, China, 2010

 

Self-rated health a

Physically unhealthy days d

Injury-caused unhealthy days d

Mentally unhealthy days d

Characteristic Cumulative OR b (95 % CI a)

Cumulative OR b (95 % CI c)

β

P

β

P

β

P

Age group (years)

18-24

1.00

0.00

.

0.00

.

0.00

.

25-34

1.36 (1.22-1.50)

0.04

0.63

−0.06

0.24

−0.03

0.63

35-44

1.83 (1.62-2.07)

0.32

<0.01

−0.08

0.26

0.02

0.82

45-54

2.71 (2.37-3.10)

0.81

<0.01

−0.01

0.86

0.10

0.21

55-64

3.58(3.10-4.13)

1.17

<0.01

−0.01

0.85

0.11

0.20

65-74

4.62 (3.93-5.44)

1.76

<0.01

−0.03

0.68

0.07

0.47

≥75

4.88 (4.05-5.88)

1.78

<0.01

−0.03

0.73

−0.06

0.49

Gender

Man

1.00

0.00

.

0.00

.

0.00

.

Woman

1.25(1.19-1.31)

0.47

<0.01

−0.03

0.06

0.22

<0.01

Education

Illiterate or some primary school

1.00

0.00

.

0.00

.

0.00

.

Primary school graduate/some junior high school

0.89(0.81-0.96)

−0.19

0.04

0.01

0.79

0.07

0.15

Junior high school graduate/some senior high school

0.73 (0.66-0.80)

−0.43

<0.01

−0.03

0.12

−0.00

0.90

Senior high school graduate/some college

0.73 (0.64-0.83)

−0.29

0.01

−0.06

0.03

0.17

<0.01

College graduate or above

0.68 (0.56-0.82)

−0.24

0.04

−0.05

0.07

0.45

<0.01

Marital status

Single

0.94 (0.83-1.06)

0.14

0.22

0.02

0.73

−0.02

0.83

Married or cohabiting

0.93 (0.85-1.04)

−0.03

0.73

0.00

0.93

−0.16

<0.01

Separated/divorced/widowed/others

1.00

0.00

.

0.00

.

0.00

.

Place of residence

Urban

1.15 (0.96-1.37)

0.12

0.38

−0.03

0.27

0.07

0.33

Rural

1.00

0.00

.

0.00

.

0.00

.

Geographic location

Eastern China

1.00

0.00

 

0.00

 

0.00

 

Central China

1.42 (1.15-1.75)

−0.05

0.70

−0.03

0.07

−0.00

0.93

Western China

1.37 (1.07-1.75)

0.32

0.03

0.11

0.12

0.19

0.07

  1. a Examined the independent effects of covariates on SRH (very good, good, general, poor/very poor) by modeling a multiple ordered logistic regression
  2. b Cumulative OR from an ordinal logistic regression model with adjustment for all covariates. Self-rated health (very good/good/ general/poor/very poor) was the dependent variable. Each OR reflects the cumulative odds of rating poorer health versus better health against the cumulative odds in the reference group. Hence, the cumulative OR represents the average effect of the covariate on the cumulative odds of rating poorer health.
  3. c The 95 % CIs take into account the complex survey design. It was no significantly difference between the covariate group and the reference group if 1 fall within 95 % CI OR, and vice versa.
  4. d Examined the independent effects of covariates on unhealthy days by multiple liner regression.
  5. Source: Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey