RESUMO
Background: Proper nutrition is an essential component to both physical and emotional health. Food insecurity (FI) is a potentially critical public health problem. The link between FI and elevated risk for depression has been well documented. Yet, it is largely unknown how diverse older adult populations experience FI differently. Therefore, the aims of this study were to examine how gender, race/ethnicity, and nativity may impact the magnitude of the association between FI and depression. Methods: We used a nationally representative sample of the Asian American population from the National Latino and Asian American Study (NLAAS). We built logistic regression models with major depression in the past 12 months as the dependent variable, and FI as the independent variable. Several demographic and socioeconomic characteristics were added to the models to control for potential biases. All statistical estimates were weighted, using the recommended NLAAS sampling weight, to ensure representativeness of the US population. Results: About 35% (weighted adjusted 95% CI: 29.49-39.00) of Asian Americans experienced some level of FI at the time of survey. Experiencing FI over the past 12 months increased the likelihood of having clinical depression (weighted adjusted odds ratio: 1.44, weight adjusted confidence interval: 0.79-2.10). The magnitude of associations between FI and depression varied by race/ethnicity (F (7, 47) = 6.53, p (3, 41) = 10.56, p (3, 41) = 9.85). Conclusions: Food insecurity significantly increases the likelihood of clinical depression among Asian Americans. Greater attention is needed towards food-insecure Asian Americans and their mental health.
RESUMO
BACKGROUND: The incidence of mortality five years after the onset of symptomatic heart failure is about 50%. Lifestyle behaviors differ substantially and likely lead to prognostic differences. AIMS: We sought to determine the factors associated with all-cause mortality in patients with heart failure, particularly the impact of a sedentary lifestyle on mortality. METHODS: This is a secondary analysis of a randomized controlled trial (REMOTE-HF) to improve self-care through education and counseling ( N=602). We conducted an unadjusted Cox proportional hazards regression analysis with sedentary lifestyle as a predictor of mortality, then added depressive symptoms as a confounder. A Kaplan-Meier survival analysis assessed time to event comparing sedentary lifestyle. Cox models included variables of clinical relevance as well as all significant variables from baseline characteristics associated with all-cause mortality. RESULTS: The mean ± SD age was 66 ± 12.4 years, 41% were women, and 90% were of white race. There were 125 all-cause deaths over 24 months. Sedentary lifestyle was associated with a 75% increase in the expected hazard of all-cause mortality (hazards ratio 1.75; p = 0.003; 95% CI 1.21-2.54) after adjusting for moderate to severe depressive symptoms. Two Cox models showed an 89 and 95% increase, respectively, in all-cause mortality in sedentary participants holding all other variables constant. CONCLUSIONS: Sedentary lifestyle is strongly associated with all-cause mortality, independent of having moderate to severe depressive symptoms. Clinicians and researchers have an important role in promoting sustained and safe physical activity to improve survival. Other important modifiable targets to improve survival include depressive symptoms, low literacy, and low body mass index. Clinical Trial Registration- URL: https://www.clinicaltrials.gov . Unique Identifier: NCT00415545.
