Table 3.
Logit regression predicting expectations of governments as a function of health mindset, characteristics, and lived experiences
| Factor | Governments can help address obesity OR [95% CI] |
|---|---|
| Health mindset–people are unhealthy because of | |
| Factors outside of one’s control | Ref. |
| Poor choices | 0.43 [0.37–0.51]** |
| Age | |
| Under 50 | Ref. |
| 50 or Over [relative to under 50] | 0.44 [0.37–0.52]** |
| Gender | |
| Male | Ref. |
| Female | 0.98 [0.85–1.14] |
| Race/ethnicity | |
| Non-Hispanic White | Ref. |
| Non-Hispanic Black | 1.84 [1.42–2.39]** |
| Hispanic | 2.11 [1.66–2.68]** |
| Non-Hispanic Asian or Pacific Islander | 1.77 [1.15–2.74]** |
| Non-Hispanic other | 1.07 [0.71–1.61] |
| Region | |
| East | Ref. |
| Midwest | 0.77 [0.61–0.98]* |
| South | 0.74 [0.60–0.92]** |
| West | 0.85 [0.67–1.06] |
| Location | |
| Rural | Ref. |
| Urban | 1.11 [0.89–1.38] |
| Education | |
| Less than HS | Ref. |
| High school | 0.85 [0.60–1.21] |
| Some college | 1.38 [0.98–1.95] |
| Bachelor’s degree or higher | 2.50 [1.76–3.55]** |
| Family income, annual | |
| Less than $50,0000 | Ref. |
| $50,000–$99,999 | 0.86 [0.71–1.04] |
| $100,000+ | 0.92 [0.75–1.13] |
| Work status | |
| Currently working | Ref. |
| Retired | 0.84 [0.69–1.02] |
| Not working | 1.01 [0.82–1.26] |
| Health insurance | |
| No | Ref. |
| Yes | 1.12 [0.81–1.54] |
| Self-rated health | |
| Excellent | Ref. |
| Very good | 1.07 [0.83–1.39] |
| Good | 1.08 [0.82–1.40] |
| Fair | 0.77 [0.56–1.07] |
| Poor | 0.82 [0.49–1.35] |
| Impacted by others poor health | |
| No | Ref. |
| Yes | 1.04 [0.89–1.21] |
| Community had stressful event | |
| No | Ref. |
| Yes | 0.99 [0.84–1.17] |
| Discriminated against due to health | |
| No | Ref. |
| Yes | 1.13 [0.90–1.43] |
| Constant | 1.51 [0.86–2.63] |
| Observations | 3414 |
**p < 0.01, *p < 0.05