Effects of air pollution on global health: evidence from the global burden of disease study in the BRICS countries.

PURPOSE: Considering the dynamic influence of environmental, social, economic, and political factors in the emergence and growth of the BRICS countries (Brazil, Russia, India, China, and South Africa) over the years and pre-existing differences, the adverse effects of air pollution on the health and well-being of the people have remained major areas of academic inquiry and policy interventions. The present study examines the global trend of deaths and Disability Adjusted Life Years (DALYs) attributable to air pollution with particular reference to the BRICS countries for the period 1990 to 2019. METHODS: This study has used the global burden of disease estimates by using different rounds of the Global Burden of Disease (GBD) study report published by the Institute of Health Metrics Evaluation. This study has calculated the cause of death and DALYs due to environmental risk factors (i.e. Air pollution). Data analysis has been done by using the standard formula for the calculation of death (mortality) rate and DALYs rate. Similarly, we calculated the age and gender-wise death and DALYs rate by using the appropriate numerator and denominator. RESULTS: The study discovered a significant shift in disease patterns over this period, as communicable diseases like respiratory infections and tuberculosis were replaced by non-communicable diseases such as ischemic heart disease (17.2 million), chronic obstructive pulmonary disease (14.59 million), and stroke (17.02 million) as the primary causes of air pollution-related deaths in 2019 at the global level. Additionally, the study identified a worrying increase in deaths linked to neonatal disorders and respiratory infections caused by ambient particulate matter pollution in South Africa, India, and Brazil. The impact of air pollution on public health is evident across different age groups and genders, with people aged 50-69 years, those aged 70 and above, and children under 5 years being more vulnerable. Furthermore, the male population is disproportionately affected by communicable and noncommunicable diseases caused by air pollution. CONCLUSION: The study highlights the need for policymakers to implement evidence-based interventions to tackle this global health problem. The interventions should aim to reduce the emerging crisis of non-communicable diseases related to air pollution, particularly among vulnerable age groups and the male population, ultimately improving public health outcomes.

The role of green finance and governance effectiveness in the impact of renewable energy investment on CO2 emissions in BRICS economies.

In the context of sustainable development, this study investigates the intricate dynamics among good governance, renewable energy investment, and green finance in BRICS nations. The aim of the study is to assess how green finance and governance effectiveness moderate the impact of renewable energy investment on CO2 emissions. Utilizing the Cross-Sectional Autoregressive Distributed Lag (CS-ARDL) model, a meticulous analysis spanning two decades was conducted to unravel the relationships among key variables and CO2 emissions. The findings underscore a nuanced interplay where renewable energy investments, synergized with robust governance and strategic green finance, significantly mitigate CO2 emissions, contributing to sustainable economic development. However, the study reveals non-linear relationships, highlighting the necessity for optimal allocation and strategic planning to maximize environmental benefits. In the short-run, a government effectiveness policy threshold that should be attained in order for renewable energy investment to reduce CO2 emissions is provided. In the long-run, the negative responsiveness of CO2 emissions to renewable energy investment is further consolidated by green finance. Moreover, enhancing renewable energy investment in the long run is positive for environmental sustainability. It follows that policy makers should tailor policies aimed at enhancing renewable energy investment in the long-run as well as complementing renewable energy investment with green finance in the long-run in order to ensure environmental sustainability by means of reducing CO2 emissions. Policymakers in BRICS nations are urged to strengthen governance structures, promote renewable energy investments, leverage green finance, foster public-private partnerships, adopt a holistic approach, and address non-linear effects to accelerate the transition to a low-carbon economy.

Prevalence of anaemia among married women with recent birth history and high-risk fertility behaviour: secondary data analysis of the National Family Health Survey-India (2019-21).

OBJECTIVES: To describe the prevalence of anaemia among currently married women with high-risk fertility behaviour (HRFB) based on age, parity and birth spacing indicators. DESIGN: Cross-sectional study. SETTINGS AND PARTICIPANTS: Fifth round of the National Family Health Survey (NFHS) was conducted in India (2019-2021) and included a nationally representative sample of 724, 115 women in the reproductive age group (15-49). Our analysis focused exclusively on married women who had given birth in the preceding 5 years. PRIMARY AND SECONDARY OUTCOME MEASURES: The prevalence of anaemia with HRFB was the primary outcome, and the likelihood of having anaemia due to HRFB was the secondary outcome. DATA AND METHODS: Secondary data analysis of the NFHS-5 (2019-2021) datasets was done using a weighted analysis to determine anaemia prevalence in different HRFB categories. Bivariate analysis was done using the χ2 test, and multiple binary logistic regression analyses were done to estimate the odds of having anaemia due to HRFB after adjusting for known confounders. A p value <0.05 was reported as statistically significant. RESULTS: The final analysis comprised 145,468 women, of whom 59.1% had anaemia. About 53.1% of women depicted 'No risk' fertility behaviour, and 34.6% and 12.3% had single and multiple HRFB. Women with 'no-risk,' single and multiple HRFB had anaemia prevalence rates of 58.1%, 59.4% and 63.1%, respectively. Women with 'Single risk' had an 18% higher likelihood (1.18; 1.13-1.22) of having anaemia after controlling for confounding variables, compared with the HRFB category with 'No risk.' Women with 'Multiple risks' showed a 6% higher likelihood (adjusted OR 1.06; 95% CI 1.03 to 1.08). CONCLUSIONS: Anaemia remains a prevalent issue in India, and HRFB is observed as a significant contributing factor. This vulnerable group can be targeted through multiple interventions and further our efforts to realise our anaemia-related goals.