Skip to main content

Table 4 Estimates of rural–urban decomposition analysis for the contribution of explanatory variables of depression among older adults in India, 2017–18

From: Decomposing the rural–urban differences in depression among multimorbid older patients in India: evidence from a cross-sectional study

Factors

Coefficient

Standard error

Percent contribution

Sociodemographic

 Age

-0.00004

0.00065

-0.11

 Sex

0.00135

0.00080

3.36

 Education

0.01448

0.00469

35.99**

 Religion

-0.00116

0.00041

-2.87**

 Caste

0.00414

0.0020

10.30*

Health and behavioural factors

 ADL disability

0.00196

0.00046

4.88***

 IADL disability

0.00776

0.00160

19.30***

 Self-rated health

0.00747

0.00121

18.58***

 Pain

0.00040

0.00051

1.00

 Body Mass Index

0.00348

0.00277

8.65

 Physical activity status

0.00048

0.00104

1.18

 Tobacco consumption

0.00093

0.00237

2.31

 Alcohol consumption

-0.00314

0.00093

-7.81***

 Health insurance coverage

-0.00227

0.00069

-5.64***

Psycho-social factors

 Perceived discrimination

0.00976

0.00119

24.25***

 Marital Status

-0.00126

0.00049

-3.12*

 Working status

-0.00384

0.00195

-9.55*

 Ill treatment

0.00208

0.00076

5.18*

 Community involvement

0.00025

0.00025

0.62

Household factors

 MPCE quintile

-0.00140

0.00105

-3.48

 Region

-0.00122

0.00044

-3.03*

Total

0.04022

Differences (Rural- urban gap)

0.06468

  1. *p ≤ 0.05; **p ≤ 0.005; ***p ≤ 0.001; ADL Activities of Daily Living, IADL Instrumental Activities of Daily Living, MPCE Monthly Per Capita Consumption Expenditure