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Table 1 Association between multimorbidity and disability, work productivity and social participation

From: The association between mental-physical multimorbidity and disability, work productivity, and social participation in China: a panel data analysis

 

Disability

Work productivity

Social participation

Difficulties in IADLs (n = 11,116)

AOR (95% CI)

Difficulties in ADLs (n = 11,162)

AOR (95% CI)

Early retirement (n = 5261)

AOR (95% CI)

Number of days of sick leave (n = 4141)

mean (95% CI)

Social participation (n = 3301)

AOR (95% CI)

Number of physical NCDs

1.27 (1.22, 1.32)

1.39 (1.33, 1.45)

1.37 (1.26, 1.49)

1.25 (1.16, 1.35)

1.06 (1.00, 1.13)

Depression

3.59 (3.16, 4.07)

3.78 (3.30, 4.34)

1.24 (0.97, 1.58)

2.18 (1.72, 2.77)

0.57 (0.47, 0.70)

2015

1.21 (1.08, 1.35)

1.46 (1.29, 1.66)

1.58 (1.28, 1.96)

1.07 (0.85, 1.35)

0.98 (0.82, 1.17)

Age group (ref: 45–54)

 Age 55–64

1.43 (1.21, 1.69)

1.67 (1.39, 2.02)

1.96 (1.54, 2.49)

0.92 (0.72, 1.17)

0.92 (0.68, 1.24)

 Age 65–74

2.21 (1.82, 2.67)

2.49 (2.02, 3.08)

  

0.94 (0.68, 1.29)

 Age 75+

4.08 (3.14, 5.30)

3.85 (2.89, 5.12)

  

0.66 (0.45, 0.97)

Female gender

1.46 (1.27, 1.67)

1.19 (1.02, 1.38)

4.60 (3.39, 6.26)

0.89 (0.70, 1.13)

1.06 (0.85, 1.32)

Married

1.03 (0.86, 1.23)

0.97 (0.80, 1.18)

0.97 (0.59, 1.58)

1.36 (0.85, 2.19)

0.74 (0.57, 0.95)

Agricultural hukou

1.09 (0.91, 1.32)

1.18 (0.97, 1.44)

0.32 (0.23, 0.45)

1.33 (0.92, 1.92)

0.48 (0.37, 0.62)

Rural residency

1.41 (1.21, 1.63)

1.23 (1.04, 1.44)

0.24 (0.18, 0.33)

1.25 (0.97, 1.63)

1.19 (0.95, 1.50)

Region (ref:east China)

 Middle China

1.20 (1.02, 1.42)

1.88 (1.57, 2.25)

0.81 (0.59, 1.12)

1.11 (0.84, 1.48)

0.93 (0.73, 1.20)

 West China

1.12 (0.95, 1.32)

1.14 (0.95, 1.37)

0.58 (0.42, 0.81)

1.17 (0.89, 1.55)

0.66 (0.51, 0.86)

 Northeast China

1.78 (1.37, 2.31)

1.73 (1.30, 2.32)

1.11 (0.66, 1.86)

1.35 (0.82, 2.24)

0.76 (0.53, 1.10)

Family size (ref: 1, 2 members)

 3–4 members

1.07 (0.93, 1.23)

1.06 (0.91, 1.23)

1.01 (0.77, 1.33)

0.90 (0.69, 1.17)

0.95 (0.77, 1.18)

 4+ members

1.22 (1.04, 1.44)

0.95 (0.79, 1.14)

1.51 (1.09, 2.10)

1.06 (0.78, 1.46)

1.08 (0.83, 1.40)

Education level (ref:illiterate)

 Primary

0.60 (0.51, 0.71)

0.75 (0.63, 0.90)

0.83 (0.58, 1.19)

0.79 (0.58, 1.07)

1.27 (0.98, 1.65)

 Secondary

0.48 (0.39, 0.58)

0.61 (0.49, 0.75)

1.20 (0.86, 1.69)

0.79 (0.59, 1.08)

1.40 (1.04, 1.87)

 Tertiary

0.38 (0.28, 0.52)

0.43 (0.31, 0.60)

0.88 (0.56, 1.36)

0.76 (0.52, 1.12)

2.79 (1.84, 4.25)

HH consumption per capita (ref:Q1)

 Q2

1.05 (0.89, 1.22)

0.99 (0.84, 1.18)

0.84 (0.60, 1.18)

1.13 (0.83, 1.55)

1.18 (0.90, 1.54)

 Q3

1.06 (0.90, 1.25)

0.89 (0.75, 1.06)

1.10 (0.79, 1.53)

1.03 (0.76, 1.40)

1.09 (0.83, 1.42)

 Q4 (richest)

1.11 (0.94, 1.32)

1.00 (0.83, 1.20)

1.68 (1.21, 2.34)

1.49 (1.07, 2.07)

1.30 (0.99, 1.70)

Work type (ref:farming)

 Formally Employed

   

0.32 (0.23, 0.44)

 

 Self-employed

   

0.65 (0.43, 0.99)

 

 Family business

   

1.30 (0.63, 2.70)

 
  1. The regression model is adjusted for all socio-demographic covariates. Bold font indicate significance at 5% level
  2. Generalized linear model with gamma distribution and log link function is used to estimate the association between multimorbidity and the number of days of sick leave at main job. Random-effect logistic models are used for other outcomes
  3. AOR Adjusted odds ratio, CI Confidence interval