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Discrimination based on religion and communal violence against religious minorities have been on the rise worldwide. Despite growing incidences of violence against religious minorities, little is known on the relationship between minority status and population health outcomes in the low-and-middle income countries (LMICs). This study intends to fill this gap by assessing the prevalence of hypertension among religious minority women in Bangladesh, a South Asian country with high levels of social hostilities involving religion. Using data from the Bangladesh Demographic and Health Survey (BDHS) 2017–18, we examined whether religious minority women had a differential risk of having hypertension. We estimated logistic regression models to obtain the odds in favor of being hypertensive among women aged 18–49 years and compared the odds for religious minority women with that of their non-minority counterparts. We then estimated linear regression models to examine how average systolic- and diastolic-blood pressure measures differ across minority and non-minority women. We found that the odds of being hypertensive for minority women were 1.43 (95 % CI: 1.14–1.79) times that of their non-minority counterparts. The adjusted odds ratio was very similar, 1.45 (95 % CI: 1.14–1.84), when various sociodemographic and other risk factors were accounted for. The conditional average SBP and DBP levels were respectively 3.42 mmHg (95 % CI: 1.64–5.20) and 1.44 mmHg (95 % CI: 0.37–2.51) higher among minority women. Thus, we found evidence that religious minority women in Bangladesh had a disproportionately higher risk of having hypertension compared to their non-minority peers. These results call for further research on psychological distress from systematic discrimination and collective trauma among religious minorities in Bangladesh.

Extant literature documented various health disparities among immigrants and racial and ethnically marginalized individuals in the United States. However, health disparities in the intersection of nativity and race are generally less visited. This cross-sectional study assessed utilization of routine preventive care among adults with overweight/obesity at the junction of their nativity, racial/ethnic identity, and socioeconomic status (i.e., income and education). Pooling data on 120,184 adults with overweight/obesity from the 2013–2018 waves of the National Health Interview Survey (NHIS), we estimated modified Poisson regressions with robust standard errors to obtain adjusted prevalence rates of preventive care visit, receiving flu shot, and having blood pressure, cholesterol and blood glucose screened. We found that immigrant adults with overweight/obesity had lower rates of utilization of all five preventive care services. However, these patterns varied by racial and ethnic sub-populations. While White immigrants had comparable rates of cholesterol and blood glucose screening, they had 2.7%, 2.9%, and 14.5% lower rates of preventive care visit, blood pressure screening, and getting a flu shot respectively, compared to native-born Whites. These patterns were similar for Asian immigrants as well. Black immigrants, on the other hand, had comparable rates of getting a flu shot and blood glucose screening, and had 5.2%, 4.9%, and 4.9% lower rates of preventive care visit, blood pressure screening, and cholesterol screening respectively. Lastly, the rates of utilization among Hispanic immigrants were significantly lower (ranging from 9.2% to 20%) than those of their native-born counterparts for all five preventive care services. These rates further varied by education, income, and length of stay in the US, within the racial and ethnic sub-groups. Our findings thus suggest a complex relationship between nativity and racial/ethnic identity in relation to preventive care utilization among adults with overweight/obesity.

Introduction: Vaccine uptake concerns in the U.S. were at the forefront of public health discussions during the COVID-19 pandemic. By the end of 2022, approximately 80% of the U.S. population was vaccinated against the virus. This study examined the relationship between perceived social support and COVID-19 vaccine uptake among U.S. adults. Methods: Using nationally representative cross-sectional data on 21,107 adults from the 2021 National Health Interview Survey, we assessed the COVID-19 vaccination rates across individuals with strong, some, and weak levels of social support. Multivariable logistic regression models were estimated to obtain the odds of being vaccinated in adults with different levels of perceived social support for the full sample and subsamples of age groups. Results: We found that adults with weak social support were 21.1% less likely to be vaccinated against COVID-19 than adults with perceived strong social support. Apart from the ages 18–24 years group, the lower likelihood of being vaccinated for adults with weak social support was evident in ages 24–49 years (AOR=0.66, 95% CI=0.52, 0.85), ages 50–64 years (AOR=0.67, 95% CI=0.50, 0.90), and ages ≥65 years (AOR=0.56, 95% CI=0.41, 0.75) groups. Conclusions: These findings are consistent with a broader literature indicating that social support increases the likelihood of healthy behaviors and decreases risky behaviors. Interventions designed to improve the perception of social support, particularly among those at high risk of mortality from COVID-19, may be a promising tactic for increasing COVID-19 vaccine uptake.

Child marriage is associated with negative health trajectories among women in low- and middle-income countries (LMICs). Marital disruptions in LMICs are also associated with adverse socioeconomic and health outcomes in women. Yet, little is known about the compounded health effects of experiencing both child marriage and marital disruptions. Using nationally representative data from India among women aged 18–49 years, we examined the effects of marital age (i.e., marriage before or after 18 years) and martial disruptions (i.e., widowed/divorced/separated) on the odds of having hypertension. Findings suggest that together, marital disruptions and child marriage increase the risk of hypertension. Specifically, women married as children and who experienced marital disruptions were 1.2 (95% CI: 1.2–1.3) times more likely to have hypertension compared to women who married as adults and currently in marriage. Additionally, among women married as children, those who experienced martial disruptions had a higher risk (AOR = 1.1, 95% CI: 1.0–1.2) of hypertension compared to their currently married peers. These results suggest public health strategies must consider contextual effects of being widowed/divorced/separated among women who were married as children. Simultaneously, prevention initiatives should be strengthened to reduce the incidence of child marriage in LMICs and associated downstream health consequences.

Objectives: Intake of trans fatty acids (TFA) increases the risk of cardiovascular disease. Assessment of TFA exposure in the population is key for determining TFA burden and monitoring change over time. One approach for TFA monitoring is measurement of TFA levels in plasma. Understanding costs associated with this approach can facilitate program planning, implementation and scale-up. This report provides an assessment of costs associated with a pilot program to measure plasma TFA levels in Thailand. Study design: Cost analysis in a laboratory facility in Thailand. Methods: We defined three broad cost modules: laboratory, personnel, and facility costs, which were further classified into sub-components and into fixed and variable categories. Costs were estimated based on the number of processed plasma samples (100–2700 in increments of 50) per year over a certain number of years (1–5), in both USD and Thai Baht. Total cost and average costs per sample were estimated across a range of samples processed. Results: The average cost per sample of analyzing 900 samples annually over 5 years was estimated at USD186. Laboratory, personnel, and facility costs constitute 67%, 23%, and 10% of costs, respectively. The breakdown across fixed costs, such as laboratory instruments and personnel, and variable costs, such as chemical supplies, was 60% and 40%, respectively. Average costs decline as more samples are processed: the cost per sample for analyzing 100, 500, 1500, and 2500 samples per year over 5 years is USD1351, USD301, USD195; and USD177, respectively. Conclusions: Laboratory analysis of plasma TFA levels has high potential for economies of scale, encouraging a long-term approach to TFA monitoring initiatives, particularly in countries that already maintain national biometric repositories.

Background: Treatment of noncommunicable diseases (NCDs) in low-income countries can entail large out-of-pocket (OOP) medical expenditures, which can increase the likelihood of household impoverishment and perpetuate the poverty cycle. This paper studies the implications of NCDs on household medical expenditure, household financial stress (e.g. selling assets or borrowing for treatment financing), catastrophic OOP expenditure, and impoverishment in Bangladesh. Methods: We used self-reported health status and household expenditure survey data from 12,240 households in Bangladesh. NCD-afflicted households were defined by presence of at least one of the following conditions within the household – heart disease, hypertension, asthma, diabetes, cancer, or kidney disease. Using linear regression models, we examined whether NCD households incur more medical expenditures, allocate a larger budget share on medical expenditures, and have greater probability of experiencing catastrophic medical expenditure or financial stress from OOP spending than non-NCD households. Finally, using survey weights, we extrapolated how NCD-attributable medical expenditure can result in impoverishment and downward movement in net consumption status at the population level. Results: NCD-afflicted households allocate a greater share of household expenditures for medical care than households without NCDs, and their probability of incurring catastrophic medical expenditure is higher by 6.7 percentage points compared to the households with no reported conditions. NCD households are 85% more likely to sell assets or borrow from informal sources to finance treatment cost. Household spending on NCD care is estimated to account for the impoverishment of 0.66 million persons in Bangladesh in 2010, and for reducing the net consumption status of 7.63 million persons on both sides of the poverty line after accounting for NCD-related OOP expenditures. Conclusion: NCD-related household medical expenditure is associated with experiencing financial distress and aggravating poverty in Bangladesh.