Global burden of respiratory infections and tuberculosis attributable to risk factors, 1990–2021: demographic and SDI analysis
DOI:
https://doi.org/10.3855/jidc.21667Keywords:
respiratory infections and tuberculosis, risk factors, global burden of disease, socio-demographic index, health disparitiesAbstract
Introduction: Respiratory infections and tuberculosis are leading causes of global morbidity and mortality; yet comprehensive research on their associated risk factors remains limited, hindering the development of effective preventive strategies.
Methodology: The 2021 Global Burden of Disease data from 204 countries (1990–2021) was used to measure deaths, disability-adjusted life years (DALYs), and their age-standardized rates (ASMR and ASDR) tied to 9 risk factors. The trends were analyzed by age, gender, and socio-demographic index (SDI) regions, with annual and average annual percentage changes (APC, AAPC) used to track changes over time.
Results: Globally, mortality rates (ASMR) for respiratory infections and tuberculosis linked to traditional risks—malnutrition, air pollution, and alcohol use—declined significantly; annual decreases of 4.46%, 3.18%, and 3.35%, respectively. Deaths attributed to metabolic risks like high BMI and blood sugar increased, despite falling ASMR. Geographic disparities were notable: Lesotho saw the sharpest rise in BMI-related mortality (3.92%), while Hungary had the steepest decline (−7.4%). Men faced a higher burden from behavioral risks, with tobacco-related mortality 3.6 times higher than in women. Children under 5 years were especially vulnerable to environmental risks, with unsafe water and sanitation contributing to a 4.55% annual decline in mortality rates.
Conclusions: This study highlights the need for targeted actions, such as tobacco control in high-middle SDI regions, air quality improvements in South Asia, and nutrition programs in Sub-Saharan Africa. It offers a precise public health framework to reduce respiratory infections and tuberculosis, and promote global health equity by analyzing sociodemographic and time trends.
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Copyright (c) 2026 Shareli Caikai, Jing Jiang, Yi Shi, Hongli Zhang, Sicheng Xu

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