ArticleJournal of global health2024
Global, regional, and national mortality of tuberculosis attributable to alcohol and tobacco from 1990 to 2019: A modelling study based on the Global Burden of Disease study 2019.
Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
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22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.
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- Association between low birth weight and impaired glucose tolerance in children: a systematic review and meta-analysis.Frontiers in pediatrics · 2024Pooled it
- MoMA: a mixture-of-multimodal-agents architecture for enhancing clinical prediction modelling.NPJ digital medicine · 2025Article
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- Human Tuberculosis in Migrant and Autocthonous Patients: A Ten-Year Single-Centre Experience.Pathogens (Basel, Switzerland) · 2025Article
- Elevated Serum TNF-α/IL-1β Levels and Under-Nutrition Predict Early Mortality and Hospital Stay Burden in Pulmonary Tuberculosis.Journal of clinical medicine · 2025Article
- Tuberculosis treatment failure: what are the risk factors? A comprehensive literature review.Multidisciplinary respiratory medicine · 2025Article
- Correlation between lifestyle choices, dietary factors, and the risk of adult urolithiasis: insights from a systematic review and meta-analysis.Translational andrology and urology · 2025Article
- Alleviation of mycobacterial infection by impairing motility and biofilm formation via natural and synthetic molecules.World journal of microbiology & biotechnology · 2025Review
- Relationship between BMI, indicators of lipid metabolism and diabetic neuropathy: a Mendelian randomization study.Diabetology & metabolic syndrome · 2025Article
- Time trends in colorectal cancer incidence across the BRICS: an age-period-cohort analysis for the GBD 2021.Frontiers in oncology · 2025Article
- Age-period-cohort analysis and prediction of tuberculosis trends in China-based on the Global Burden of Disease 2021 data.Frontiers in public health · 2025Article
- Application of the age-period-cohort model in tuberculosis.Frontiers in public health · 2025Review
- Global burden and future trends of head and neck cancer: a deep learning-based analysis (1980-2030).PloS one · 2025Article
- Global, regional and country-specific burden of patella, tibia or fibula, or ankle fractures and its prediction to 2035: findings from global burden of disease study 2019.BMC public health · 2024Article
- Global, regional, national trends of femur fracture and machine learning prediction: Comprehensive findings and questions from global burden of disease 1990-2019.Journal of orthopaedic translation · 2024Article
- Association between serum 25-hydroxyvitamin D level and myopia in children and adolescents: a cross-sectional study.Translational pediatrics · 2024Article
- Analysis of the main indicators and risk factors of ultrasonic shear wave elastography for the diagnosis of osteoarthritis among adults.Frontiers in medicine · 2024Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Tuberculosis (TB) is expected to become the second leading single cause of death with several risk factors, but the related disease burden is currently unknown. We aimed to analyse the pre-coronavirus disease 2019 (COVID-19) changes in mortality of TB attributable to alcohol and tobacco worldwide from 1990 to 2019. Methods: We obtained data of TB deaths and age-standardised death rates attributed to alcohol and cigarette in 204 countries and territories from the Global Burden of Disease 2019 public database. We performed a spatial-temporal analysis of age-standardised death rate and the average annual per cent change (AAPC), after which we analysed the effects of gender and socio-demographic index on age-standardised death rate using an age-period-cohort model. Finally, we built machine learning models to predict the TB age-standardised death rate in 2035. Results: We found that the global age-standardised death rate of TB attributable to alcohol consumption declined from 5.35 (95% uncertainty interval (UI) = 3.51, 7.00) in 1990 to 2.54 (95% UI = 1.65, 3.33) in 2019, with significant declines in Andean Latin America (AAPC = -7.59; 95% confidence interval (CI) = -8, -7.16, P < 0.05), East Asia (AAPC = -7.32; 95% CI = -8.00, -6.62, P < 0.05), and Central Latin America (AAPC = -7.31; 95% CI = -7.63, -6.99, P < 0.05). However, there was an increase in a few regions, especially in parts of Central Asia. The age-standardised death rate for TB attributable to cigarette smoking declined more rapidly than that for TB attributable to alcohol, from 7.45 (95% UI = 6.17, 8.72) to 2.21 (95% UI = 1.78, 2.64), especially in East Asia (AAPC = -6.64; 95% CI = -7.07, -6.2, P < 0.05), North Africa and Middle East (AAPC = -6.47; 95% CI = -6.67, -6.28, P < 0.05), and Andean Latin America (AAPC = -6.31; 95% CI = -6.87, -5.75, P < 0.05). However, TB attributable to cigarette smoking increased in parts of Eastern Europe. In both TB attributable to alcohol consumption and to cigarette smoking, the age-standardised death rate was much higher in men than in women. The age-period-cohort model results showed that TB attributable to alcohol consumption was the highest in older adults aged 60-80 years, while TB attributable to cigarette smoking was the highest in adults aged 40-60 years. Machine learning models projected that by 2035, the age-standardised death rate for TB attributable to alcohol consumption would be 1.29 (per 100 000 population), while the age-standardised death rate for TB attributable to cigarette consumption would be 0.37 (per 100 000 population), which might not achieve the 2035 global target for eliminating TB. Conclusions: Globally, the age-standardised death rate for TB attributable to alcohol consumption declined slower than that attributable to cigarette smoking. Controlling these two factors would help achieve the global goal of TB elimination, especially for the elderly who are at high risk.
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