Table 3. Gender-specific multivariate logistic regression analysis of the association between sociodemographic characteristics and high body mass index (>=30 kg/m2), by study.
| High body mass index (>=30 kg/m2) | LASI+ | CHARLS | ||||||
|---|---|---|---|---|---|---|---|---|
|
| ||||||||
| Model 1** | Model 2 | Model 1 | Model 2 | |||||
|
| ||||||||
| Men | Women | Men | Women | Men | Women | Men | Women | |
| Age (reference: 45 – 59 years) | ||||||||
| 60 – 74 years | 3.33(0.91-12.18) | 1.68(0.67-4.18) | 3.29(0.72-14.95) | 1.64(0.66-4.07) | 0.57(0.36-0.91) | 0.85(0.63-1.15) | 0.60(0.37-0.96) | 0.93(0.69-1.27) |
| 75+ years | 0.86(0.08-9.75) | 0.77(0.12-5.01) | 1.27(0.11-14.32) | 0.72(0.11-4.60) | 0.10(0.01-0.78) | 0.58(0.27-1.25) | 0.11(0.01-0.91) | 0.70(0.32-1.53) |
| Rural residency (reference: urban) | 0.66(0.22-1.95) | 0.67(0.41-1.09) | 0.56(0.20-1.58) | 0.70(0.42-1.15) | 0.49(0.26-0.90) | 0.67(0.43-1.05) | 0.50(0.27-0.92) | 0.68(0.43-1.06) |
| Respondent education (reference: illiterate) | ||||||||
| Literate | 1.77(0.13-24.28) | 2.38(0.71-8.04) | 1.78(0.11-28.41) | 2.36(0.67-8.31) | 0.83(0.32-2.16) | 0.84(0.57-1.24) | 0.79(0.31-2.05) | 0.83(0.56-1.23) |
| Primary school | 6.41(1.16-35.45) | 1.86(0.58-5.97) | 5.84(1.15-29.79) | 1.83(0.55-6.11) | 1.26(0.54-2.94) | 0.72(0.49-1.08) | 1.19(0.52-2.74) | 0.70(0.47-1.04) |
| Junior high school+ | 1.58(0.32-7.81) | 2.90(1.04-8.08) | 1.55(0.37-6.52) | 2.79(1.01-7.69) | 1.01(0.47-2.20) | 0.64(0.43-0.96) | 0.92(0.42-2.01) | 0.59(0.39-0.89) |
| Spouse education (reference: illiterate) | ||||||||
| Literate | 1.27(0.09-17.61) | 1.02(0.13-8.09) | 0.69(0.35-1.34) | 1.04(0.55-1.98) | ||||
| Primary school | 0.24(0.02-2.49) | 0.47(0.07-3.16) | 0.83(0.46-1.52) | 0.82(0.44-1.50) | ||||
| Junior high school+ | 0.97(0.12-8.01) | 1.13(0.34-3.68) | 1.07(0.57-2.01) | 1.25(0.70-2.24) | ||||
| No spouse | 0.21(0.02-2.23) | 1.25(0.50-3.14) | 0.39(0.15-1.02) | 0.77(0.38-1.57) | ||||
| Per capita expenditures in US dollars and adjusted for purchase power parities (log scale) | 2.41(1.22-4.75) | 1.83(1.13-2.98) | 3.06(1.48-6.31) | 1.84(1.10-2.73) | 1.17(0.86-1.59) | 1.00(0.84-1.19) | 1.18(0.85-1.87) | 0.99(0.83-1.18) |
*
Data are presented as odds ratios (95% confidence intervals). State dummy variables are included in LASI models and county dummy variables are included in the CHARLS model
+
LASI=Longitudinal Aging Study in India; CHARLS=China Health and Retirement Longitudinal Study
**
Model 1 included age, rural residency, respondent education attainment, and per capita expenditure. Model 2 included spousal education level, in addition to the variables in Model 1