Factors influencing the readiness to tackle the burden of ischaemic heart disease in India: a systematic review protocol

Road traffic noise pollution and prevalence of ischemic heart disease: modelling potential association and abatement strategies in noise-exposed areas

In many developing countries with surging vehicular traffic and inadequate traffic management, excessive road traffic noise exposure poses substantial health concerns, linked to increased stress, insomnia and other metabolic disorders. This study aims to assess the linkage between sociodemographic factors, traffic noise levels in residential areas and health effects using a cross-sectional study analyzing respondents' perceptions and reports. Noise levels were measured at 57 locations in Srinagar, India, using noise level meter. Sound PLAN software was employed to generate noise contour maps, enabling the visualization of noise monitoring locations and facilitating the assessment of noise levels along routes in proximity to residential areas. Correlation analysis showed a strong linear relationship between field-measured and modelled noise (r2 = 0.88). Further, a questionnaire-based survey was carried out near the sampling points to evaluate the association of ischemic heart disease with traffic noise. Residents exposed to noise levels (Lden > 60 dB(A)) were found to have a 2.24 times higher odds ratio. Compared to females, males reported a 16% higher prevalence of the disease. Multi-faceted policy strategies involving noise mapping initiatives, source noise standards, traffic flow urban mobility optimization, smart city initiatives and stringent litigatory measures could significantly reduce its detrimental impact on public health. Finally, this study envisions a region-specific strong regulatory framework for integrating noise pollution mitigation strategies into the public health action plans of developing nations.

Trends of ischemic heart disease mortality attributable to household air pollution during 1990-2019 in China and India: an age-period-cohort analysis

Cardiovascular diseases (CVD) caused by household air pollution (HAP) have sparked widespread concern globally in the recent decade. Meanwhile, increased ischemic heart disease (IHD) mortality has been the leading cause of worldwide CVD deaths. Both China and India experienced a high IHD burden and high exposure to HAP. The present study aimed to estimate and compare the long-term trends of HAP-attributable IHD mortality in the two countries. The data of this study were extracted from the Global Burden of Diseases (GBD) Study 2019. The age-period-cohort (APC) analysis was utilized to estimate the independent trends of the age, period, and cohort effects from 1990 to 2019. The age-standardized mortality rates (ASMRs) of HAP-attributable IHD have fallen faster in China than in India for both sexes. The local drift and net drift values were < 0 for all age groups in both countries. The age effects in both countries and sexes increased with time, suggesting age is a risk factor for IHD; conversely, period and cohort effects in China demonstrated a faster decline in both genders than in India. It indicated that China has been more successful than India in decreasing HAP-attributable IHD mortality.