Journal of Obesity

Research Article

Socioeconomic and Demographic Factors for Spousal Resemblance in Obesity Status and Habitual Physical Activity in the United States

Table 5

Association between habitual physical activity (HPA) and one’s own and the spouse’s characteristics in the US (MEPS 2006–2008).
 Husbands’ HPAWives’ HPA
 OR95% CIOR95% CI
Spouse’s HPA (≥3 versus <3 times/week)4.54(4.07,  5.06)4.58(4.11, 5.11)
One’s own age (per 5 years)0.92(0.87, 0.98)1.02(0.96, 1.08)
Spouse’s age (per 5 years)1.06(0.998, 1.12)1.00(0.95, 1.06)
One’s own current smoking versus nonsmoking status0.73(0.63, 0.85)0.71(0.61, 0.83)
Spouse’s current smoking versus non-smoking status1.31(1.10, 1.56)1.13(0.97, 1.31)
One’s own race/ethnicity (versus NH white)      
 NH black 1.34(0.91, 1.98)0.98(0.65, 1.48)
 Hispanic 0.78(0.61, 0.99)0.79(0.62, 1.001)
 Other 0.92(0.65, 1.30)0.72(0.50, 1.02)
Spouse’s race/ethnicity (versus NH white)      
 NH black 0.78(0.52, 1.16)0.77(0.53, 1.14)
 Hispanic 1.03(0.80, 1.32)0.80(0.63, 1.00)
 Other 0.84(0.59, 1.19)0.89(0.61, 1.31)
One’s own education (per 5 year)1.01(0.90, 1.14)1.16(1.02, 1.31)
Spouse’s education (per 5 year)1.11(0.98, 1.25)1.19(1.05, 1.34)
One’s own individual income (versus ≥US$48,000)      
 <US$10,000 1.11(0.88, 1.41)1.08(0.88, 1.31)
 US$10,000–24,999 1.02(0.86, 1.21)0.94(0.79, 1.10)
 US$25,000–47,999 1.19(1.03, 1.36)0.99(0.84, 1.17)
Spouse’s individual income (versus ≥US$48,000)      
 <US$10,000 0.96(0.79, 1.17)0.69(0.55, 0.87)
 US$10,000–24,999 0.91(0.77, 1.09)0.87(0.75, 1.01)
 US$25,000–47,999 1.00(0.85, 1.17)0.83(0.72, 0.96)
One’s own employment status (versus employed)      
 Never worked0.78(0.51, 1.20)0.95(0.77, 1.18)
 Retired1.16(0.87, 1.53)1.08(0.78, 1.51)
 Unemployed0.51(0.40, 0.66)0.85(0.72, 1.01)
Spouse’s employment status (versus employed)      
 Never worked0.87(0.70, 1.08)0.62(0.37, 1.04)
 Retired0.80(0.57, 1.12)0.75(0.57, 0.98)
 Unemployed1.05(0.87, 1.26)1.28(0.996, 1.65)
Individual-level analysis: HPA (habitual physical activity).
Each column shows the results of a logistic regression model; in addition to the variables presented on the table, survey year, indicator of respondent, and missingness indicators were adjusted.