Data inputs for analysis of how BMI influences TB incidence
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This is a collated set of data input collated from public sources for use in an analysis of the influence of BMI on TB incidence (https://github.com/petedodd/bmitb). We used estimates for 2022 of BMI by country, sex, and age from the NCD-RisC consortium,1 which were downloaded from https://ncdrisc.org/data-downloads-adiposity.html on 14/Feb/2024. In particular, we used the files: NCD_RisC_Lancet_2024_BMI_child_adolescent_country.csv NCD_RisC_Lancet_2024_BMI_female_age_specific_country.csv NCD_RisC_Lancet_2024_BMI_male_age_specific_country.csv For the adolescent group aged 15-19 years, we also made use of WHO reference tables to convert NCD-RisC estimates of z-scores into BMIs. These were downloaded from https://www.who.int/tools/growth-reference-data-for-5to19-years/indicators/bmi-for-age on 27/Nov/2023. In particular, we used the files: bmi-boys-z-who-2007-exp.xlsx bmi-girls-z-who-2007-exp.xlsx We used WHO estimates of TB incidence, which were downloaded from https://www.who.int/teams/global-programme-on-tuberculosis-and-lung-health/data on 30/Oct/2024. In particular, we used the files: TB_burden_age_sex_2024-10-30.csv TB_notifications_2024-10-30.csv We used World Population Prospects 2024 demographic estimates from the United Nations Population Division, downloaded from https://population.un.org/wpp/ on 19/August/2025. These were aggregated into relevant age categories for 2023 and included as the file: N8523.Rdata We also used coefficients and variance covariance matrices from the regression in Saunders et al.: general_population_vcov_matrix.csv general_population_piecewise_parameters.csv 1. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet 2024; 403: 1027–50.
本数据集为从公开数据源整理汇集的配套数据输入集，用于开展身体质量指数（BMI, Body Mass Index）对结核病（TB, Tuberculosis）发病率影响的相关研究，项目代码仓库地址为https://github.com/petedodd/bmitb。 我们使用了非传染性疾病风险因素协作组（NCD Risk Factor Collaboration, NCD-RisC）于2022年发布的分国家、分性别、分年龄的BMI估计值，该数据于2024年2月14日从https://ncdrisc.org/data-downloads-adiposity.html下载，具体使用的文件包括： NCD_RisC_Lancet_2024_BMI_child_adolescent_country.csv NCD_RisC_Lancet_2024_BMI_female_age_specific_country.csv NCD_RisC_Lancet_2024_BMI_male_age_specific_country.csv 针对15至19岁的青少年群体，我们还借助世界卫生组织（World Health Organization, WHO）参考表将NCD-RisC的z评分估计值转换为BMI值，相关参考表于2023年11月27日从https://www.who.int/tools/growth-reference-data-for-5to19-years/indicators/bmi-for-age下载，具体使用的文件包括： bmi-boys-z-who-2007-exp.xlsx bmi-girls-z-who-2007-exp.xlsx 我们使用了世界卫生组织发布的结核病发病率估计值，该数据于2024年10月30日从https://www.who.int/teams/global-programme-on-tuberculosis-and-lung-health/data下载，具体使用的文件包括： TB_burden_age_sex_2024-10-30.csv TB_notifications_2024-10-30.csv 我们使用了联合国人口司发布的《世界人口展望2024》人口统计估计值，该数据于2025年8月19日从https://population.un.org/wpp/下载。我们将其汇总至适配的年龄组别（对应2023年数据），并以N8523.Rdata文件形式纳入本数据集。 此外，我们还使用了Saunders等人的回归分析得到的系数与方差协方差矩阵，相关文件包括： general_population_vcov_matrix.csv general_population_piecewise_parameters.csv 1. NCD风险因素协作组（NCD-RisC）. 1990至2022年全球消瘦与肥胖流行趋势：基于3663项人口代表性研究的汇总分析（纳入2.22亿儿童、青少年与成人）. 《柳叶刀》2024; 403: 1027–50.
