Table 3.
Relationship Between Stressor and Overweight/Obesity of Adults
Stressors | Overweight vs. normal/under weight | Obesity vs. normal/under weight | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Model 1A (separate multinomial model for each stressor) | Model 2A (single multinomial model with all stressors included) | Model 1B (separate multinomial model for each stressor) | Model 2B (single multinomial model with all stressors included) | |||||||||
OR | 95% CI | p Value | OR | 95% CI | p Value | OR | 95% CI | p Value | OR | 95% CI | p Value | |
Childhood adversities | 1.04 | 0.92–1.17 | .52 | 1.01 | 0.90–1.15 | .99 | 1.16 | 1.03–1.30 | .02 | 1.08 | 0.95–1.22 | .33 |
Acute life events | 0.99 | 0.87–1.13 | .91 | 0.95 | 0.82–1.10 | .48 | 1.18 | 1.04–1.34 | .01 | 1.07 | 0.93–1.24 | 0.33 |
Financial | 1.16 | 1.02–1.33 | .03 | 1.17 | 1.00–1.35 | .046 | 1.30 | 1.15–1.48 | <.0001 | 1.21 | 1.05–1.39 | .01 |
Relationshipa | 1.00 | 0.86–1.16 | .99 | 0.99 | 0.84–1.15 | .85 | 1.18 | 1.04–1.35 | .01 | 1.08 | 0.94–1.26 | .29 |
Life discrimination | 1.02 | 0.90–1.16 | .79 | 1.01 | 0.87–1.18 | .88 | 1.12 | 0.98–1.27 | .09 | 0.98 | 0.84–1.14 | .87 |
Job discriminationb | 1.00 | 0.86–1.15 | .91 | 0.97 | 0.83–1.15 | 0.88 | 1.07 | 0.94–1.22 | .32 | 1.01 | 0.87–1.18 | .77 |
Neighborhood | 0.95 | 0.85–1.05 | .42 | 0.94 | 0.83–1.07 | .37 | 1.10 | 0.98–1.23 | .11 | 1.04 | 0.91–1.17 | .58 |
Employmentb | 1.05 | 0.87–1.27 | .61 | 1.03 | 0.84–1.26 | .80 | 1.05 | 0.87–1.27 | .59 | 0.97 | 0.80–1.19 | .79 |
All models controlled for age, education, gender, income, race, smoking, and drinking; Model 1: separate models for each stressor, Model 2: single models including all stressor domains simultaneously. Data were weighted and models accounted for sample cluster.
aAdjusted for age, education, gender, income, race, smoking, drinking, employment status, spouse/partner, and whether the respondent has one or more children.
bAdjusted for adjusted for age, education, gender, income, race, smoking, drinking, and employment status. Data are weighted and models account for sample cluster.