Changing socioeconomic and geographic gradients in cardiovascular disease risk factors among Indians aged 15-49 years - evidence from nationally representative household surveys.

Background: Cardiovascular diseases (CVDs) are the leading cause of death in most low- and middle-income countries (LMICs). CVDs and their metabolic risk factors have historically been concentrated among urban residents with higher socioeconomic status (SES) in LMICs such as India. However, as India develops, it is unclear whether these socioeconomic and geographic gradients will persist or change. Understanding these social dynamics in CVD risk is essential for mitigating the rising burden of CVDs and to reach those with the greatest needs. Methods: Using nationally representative data with biomarker measurements from the fourth (2015-16) and fifth (2019-21) Indian National Family and Health Surveys, we investigated trends in the prevalence of four CVD risk factors: smoking (self-reported), unhealthy weight (BMI ≥25 kgm2), diabetes (random plasma glucose concentration ≥200 mg/dL or self-reported diabetes), and hypertension (one of: average systolic blood pressure ≥140 mmHg, average diastolic blood pressure ≥90 mmHg, self-reported past diagnosis, or self-reported current antihypertensive medication use) among adults aged 15-49 years. We first described changes at the national level and then trends stratified by place of residence (urban versus rural), geographic region (northern, northeastern, central, eastern, western, southern), regional level of development (Empowered Action Group member state or not), and two measures of socioeconomic status: level of education (no education, primary incomplete, primary complete, secondary incomplete, secondary complete, higher) and wealth (quintiles). Findings: Unhealthy weight increased among all social and geographic groups but both the absolute and the relative changes were substantially higher among people with low SES (as measured by education or wealth) and in rural areas. For diabetes and hypertension, the prevalence increased for those from disadvantaged groups while staying constant or even decreasing among the wealthier and more educated. In contrast, smoking consumption declined for all social and geographic groups. Interpretation: In 2015-16, CVD risk factors were higher among more advantaged subpopulations in India. However, between 2015-16 and 2019-21, the prevalence of these risk factors grew more rapidly for less wealthy and less educated subpopulations and those living in rural areas. These trends have resulted in CVD risk becoming far more widespread throughout the population; CVD can no longer be characterized as a wealthy urban phenomenon. Funding: This work was supported by the Alexander von Humboldt Foundation (grant received by NS); the Stanford Diabetes Research Center [grant received by PG] and the Chan Zuckerberg Biohub [grant received by PG].

The impact of the COVID-19 pandemic on inequalities in preventive health screenings: Trends and implications for U.S. population health.

The COVID-19 pandemic has profoundly impacted population well-being in the United States, exacerbating existing racial and socioeconomic inequalities in health and mortality. Importantly, as the pandemic disrupted the provision of vital preventive health screenings for cardiometabolic diseases and cancers, more research is needed to understand whether this disruption had an unequal impact across racialized and socioeconomic lines. We draw on the 2019 and 2021 National Health Interview Survey to explore whether the COVID-19 pandemic contributed to racialized and schooling inequalities in the reception of preventive screenings for cardiometabolic diseases and cancers. We find striking evidence that Asian Americans, and to a lesser extent Hispanic and Black Americans, reported decreased reception of many types of cardiometabolic and cancer screenings in 2021 relative to 2019. Moreover, we find that across schooling groups, those with a bachelor's degree or higher experienced the greatest decline in screening reception for most cardiometabolic diseases and cancers, and those with less than a high school degree experienced the greatest decline in screening reception for diabetes. Findings have important implications for health inequalities and U.S. population health in the coming decades. Research and health policy attention should be directed toward ensuring that preventive health care is a key priority for public health, particularly among socially marginalized groups who may be at increased risk of delayed diagnosis for screenable diseases.

Assessing mortality registration in Kerala: the MARANAM study.

Complete or improving civil registration systems in sub-national areas in low- and middle-income countries provide several opportunities to better understand population health and its determinants. In this article, we provide an assessment of vital statistics in Kerala, India. Kerala is home to more than 33 million people and is a comparatively low-mortality context. We use individual-level vital registration data on more than 2.8 million deaths between 2006 and 2017 from the Kerala MARANAM (Mortality and Registration Assessment and Monitoring) Study. Comparing age-specific mortality rates from the Civil Registration System (CRS) to those from the Sample Registration System (SRS), we do not find evidence that the CRS underestimates mortality. Instead, CRS rates are smoother across ages and less variable across periods. In particular, the CRS records higher death rates than the SRS for ages, where mortality is usually low and for women. Using these data, we provide the first set of annual sex-specific life tables for any state in India. We find that life expectancy at birth was 77.9 years for women in 2017 and 71.4 years for men. Although Kerala is unique in many ways, our findings strengthen the case for more careful attention to mortality records within low- and middle-income countries, and for their better dissemination by government agencies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41118-021-00149-z.