Table 2. Gender-specific multivariate logistic regression analysis of the association between sociodemographic characteristics and high-risk waist circumference, by study.
| High-risk waist circumference | 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 | 1.04(0.48-2.23) | 1.05(0.72-1.52) | 1.05(0.47-2.33) | 1.10(0.75-1.63) | 0.90(0.62-1.29) | 1.23(1.05-1.44) | 0.92(0.64-1.34) | 1.27(1.08-1.49) |
| 75+ years | 1.72(0.41-7.20) | 1.53(0.59-3.97) | 2.23(0.56-8.84) | 1.72(0.67-4.39) | 0.72(0.34-1.52) | 1.12(0.82-1.54) | 0.78(0.36-1.68) | 1.16(0.84-1.62) |
| Rural residency (reference: urban) | 0.83(0.30-2.27) | 0.50(0.26-0.98) | 0.78(0.29-2.11) | 0.49(0.25-0.99) | 0.52(0.32-0.86) | 0.64(0.51-0.79) | 0.54(0.33-0.90) | 0.64(0.52-0.80) |
| Respondent education (reference: illiterate) | ||||||||
| Literate | 2.58(0.60-11.01) | 1.18(0.44-3.12) | 2.32(0.48-11.15) | 1.20(0.43-3.34) | 1.05(0.54-2.04) | 1.07(0.87-1.31) | 1.04(0.53-2.01) | 1.05(0.86-1.29) |
| Primary school | 1.65(0.35-7.72) | 2.86(1.36-5.99) | 1.46(0.28-7.55) | 2.76(1.25-6.07) | 1.52(0.80-2.87) | 0.86(0.69-1.07) | 1.49(0.78-2.83) | 0.83(0.67-1.04) |
| Junior high school+ | 4.99(1.77-14.06) | 3.42(1.66-7.05) | 4.61(1.41-15.10) | 2.97(1.30-6.79) | 1.39(0.76-2.55) | 0.74(0.59-0.92) | 1.33(0.72-2.46) | 0.69(0.55-0.87) |
| Spouse education (reference: illiterate) | ||||||||
| Literate | 1.36(0.37-4.95) | 0.37(0.11-1.31) | 0.94(0.55-1.60) | 1.12(0.84-1.50) | ||||
| Primary school | 0.84(0.17-4.09) | 1.19(0.57-2.51) | 1.03(0.63-1.68) | 1.12(0.85-1.48) | ||||
| Junior high school+ | 1.06(0.31-3.59) | 1.09(0.58-2.06) | 1.14(0.69-1.89) | 1.35(1.03-1.78) | ||||
| No spouse | 0.22(0.06-0.87) | 0.65(0.37-1.16) | 0.82(0.45-1.50) | 1.15(0.85-1.56) | ||||
| Per capita expenditures in US dollars and adjusted for purchase power parities (log scale) | 1.67(1.07-2.62) | 1.70(1.17-2.47) | 1.87(1.17-3.00) | 1.73(1.20-2.49) | 1.32(1.02-1.60) | 1.09(1.00-1.19) | 1.28(1.02-1.61) | 1.08(0.99-1.18) |
*
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