RESUMEN
AIM: To estimate the association between income inequality and allostatic load score (AL) in adults ages 20 years and older, with a particular focus on the differential impacts across racial and gender groups. By examining this association, the study seeks to inform targeted policy interventions to mitigate health disparities exacerbated by economic inequality. METHODS: Utilizing data from the 1999-2016 National Health and Nutrition Examination Survey (NHANES), we assessed AL through eight biomarkers: systolic blood pressure (mm Hg), diastolic blood pressure (mm Hg), pulse rate (beats/min), body mass index (kg/m2), glycohemoglobin (%), direct HDL cholesterol (mg/dL), total cholesterol (mg/dL), and serum albumin (g/dL). Employing negative binomial regression (NBRG), we estimated incidence rate ratios (IRR) for a sample comprising 7367 men and 7814 women, adjusting for age, race/ethnicity, marital status, education, health insurance, comorbidity, and mental health professional utilization. Gini coefficients (GC) were calculated to assess income inequality among men and women. RESULTS: Findings revealed that men exhibited a higher poverty-to-income ratio (PIR) compared to women (3.12 vs. 2.86, p < 0.01). Yet, women experienced higher rates of elevated AL (AL > 4) (31.8% vs. 29.0%) and were more adversely affected by income inequality (GC: 0.280 vs. 0.333). NBRG results indicated that high PIR individuals had a lower IRR (0.96; CI:0.92-0.95) compared to their low PIR counterparts, a trend observed in women but not men. High PIR was notably protective among White non-Hispanic (WNH) men and women. Additionally, vigorous and moderate physical activity engagement was associated with lower AL (IRR: 0.89, CI: 0.85-0.93). CONCLUSION: The study emphasizes the importance of implementing policies that target AL in low-income populations across all racial groups, with a specific focus on Black non-Hispanic (BNH) and Hispanic communities. By prioritizing these groups, policies can more effectively target the nexus of income inequality, health disparities, and allostatic load, contributing to the reduction of health inequities.
RESUMEN
Aim: To estimate the association between income and depressive symptoms in adult women, ages 20 years and older. Methods: Data for this study came from the 2005-2016 National Health and Nutrition Examination Survey (NHANES). We measured the presence of depressive symptoms by using a 9-item PHQ (Public Health Questionnaire, PHQ-9) and the Poverty to Income Ratio (PIR) as a proxy for income. We employed Negative Binomial Regression (NBRG) and logistic regression models in a sample of 11,420 women. We adjusted models by age, racial/ethnic groups, marital status, education, health insurance, comorbidity, and utilization of mental health professionals. We calculated the Gini Coefficient (GC) as a measure of income inequality, using PIR. Results: Between 2005 and 2016, 20.1% of low-PIR women suffered from depression (PHQ ≥10) compared with 12.0% of women in medium-PIR and 5.0% in high-PIR. The highest probabilities of being depressed were in Black Non-Hispanics (BNH) and Hispanics (12.0%), and then in White NH (WNH; 9.1%). The results of NBRG have shown that women in medium-PIR (0.90 [CI: 0.84-0.97]) and high-PIR 0.76 (CI: 0.70-0.82) had a lower incidence-rate ratio than women in low-PIR. The logistic regression results showed that income is protective in High-PIR groups (OR = 0.56, CI [0.43-0.73]). Conclusion: Policies to treat depression should prioritize the needs of low-income women of all racial groups and women.
RESUMEN
Obesity is a major public health problem both globally and within the U.S. It varies by multiple factors, including but not limited to income and sex. After controlling for potential covariates, there is little evidence to determine the association between income and obesity and how obesity may be moderated by sex and family income. We examined the association between income and obesity in U.S. adults aged 20 years and older, and tested whether this relationship differs by race or ethnicity groups. For this analysis, we used data from the 1999-2016 National Health and Nutrition Examination Surveys (NHANES). Obesity was determined using Body Mass Index ≥ 30 kg/m2; the Gini coefficient (GC) was calculated to measure income inequality using the Poverty Income Ratio (PIR). We categorized the PIR into five quintiles to examine the relationship between income inequality and obesity. For the first set of analyses, we used a modified Poisson regression in a sample of 36,665 adults, with an almost equal number of men and women (women's ratio was 50.6%), including 17,303 white non-Hispanics (WNH), 7475 black non-Hispanics (BNHs), and 6281 Mexican Americans. The models included age, racial/ethnic groups, marital status, education, health behaviors (smoking and drinking status and physical activities), health insurance coverage, self-reported health, and household structure (live alone and size of household). Adjusting for potential confounders, our findings showed that the association between PIR and obesity was positive and significant more frequently among WNH and BNH in middle and top PIR quintiles than among lower-PIR quintiles; this association was not significant in Mexican Americans (MAs). Results of GC in obese women showed that in comparison with WNHs (GC: 0.34, S.E.: 0.002), BNHs (GC: 0.38, S.E.: 0.004) and MAs (GC: 0.41, S.E.: 0.006) experienced higher income inequality, and that BNH obese men experienced the highest income inequality (GC: 0.45, S.E.: 0.011). The association between PIR and obesity was significant among WNHs and BNHs men in the 3rd, 4th and 5th PIR quintiles. The same association was not found for women. In treating obesity, policymakers should consider not only race/ethnicity and sex, but also strategies to reduce inequality in income.