Dataset Information

Dose-response relationship between body mass index and tuberculosis in China: a population-based cohort study.

ABSTRACT:

Objectives

This study aimed to describe and quantify the relationship between body mass index (BMI) and tuberculosis (TB) incidence.

Design

A population-based prospective cohort study.

Setting

Ten randomly selected communities in the southwestern mountainous region of China.

Participants

Participants who had resided in study sites before screening for at least 6 months were eligible. Those who refused to participate or were temporary residents (who resided less than 6 months during three waves of screening) were excluded. The present research included 26 022 participants aged over 15 years for analyses.

Interventions

The cohort study conducted three rounds of TB screening from 2013 to 2015. Face-to-face surveys for participants were carried out. TB symptoms positivity suspects underwent chest X-ray and sputum smear test for diagnosis.

Primary outcome measures

The study outcome was the diagnosed active TB in the second and third rounds of screening.

Results

During the follow-up of 2.25 years, 43 cases developed TB in 44 574.4 person-years. The negative log-linear relationship between BMI and TB incidence was fitted (adjusted R² =0.76). Overweight or obese was associated with a lower risk of TB compared with normal weight (adjusted HR (aHR) 0.34, 95% CI 0.14 to 0.82). The inverse log-linear associations between continuous BMI and individual TB risk were evaluated. In subgroup analysis, the risk of TB reduced 78% in overweight or obese women (aHR 0.22, 95% CI 0.05 to 0.97), and a 64% reduction in the elderly (aHR 0.36, 95% CI 0.12 to 1.00) compared with those with normal weight, respectively.

Conclusions

The study provided evidence for a negative association between BMI and TB development in Chinese adults. It suggests the inverse dose-response relationship between BMI and TB incidence, and implies an optimal cut-off point of BMI for screening strategy.

SUBMITTER: Chen J

PROVIDER: S-EPMC8928331 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Dose-response relationship between body mass index and tuberculosis in China: a population-based cohort study.

Chen Jinou J Zha Shun S Hou Jinglong J Lu Kunyun K Qiu Yubing Y Yang Rui R Li Ling L Yang Yunbin Y Xu Lin L

BMJ open 20220316 3

<h4>Objectives</h4>This study aimed to describe and quantify the relationship between body mass index (BMI) and tuberculosis (TB) incidence.<h4>Design</h4>A population-based prospective cohort study.<h4>Setting</h4>Ten randomly selected communities in the southwestern mountainous region of China.<h4>Participants</h4>Participants who had resided in study sites before screening for at least 6 months were eligible. Those who refused to participate or were temporary residents (who resided less than ...[more]

PMID: 35296472

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Project description:ObjectiveBody mass index (BMI) and stroke risk have been linked, but these findings are still debated. This study investigated the relationship between BMI and stroke risk in a middle-aged and elderly Chinese population.MethodsThis study used four waves of CHARLS data (2011, 2013, 2015, and 2018), including 12,161 participants. The CHARLS sample was obtained by multi-stage probability sampling and all participants were assessed by one-to-one interviews using a standardized questionnaire. We used a Cox proportional-hazards regression model to examine the relationship between BMI and stroke risk. We used Cox proportional hazards regression with cubic spline functions and smooth curve fitting to identify the non-linear relationship between them. A series of sensitivity analyses were also conducted.ResultsThe multivariate Cox proportional hazards regression model identified a positive association between BMI and stroke risk (HR=1.025, 95% CI: 1.010-1.040). We also found a non-linear relationship between BMI and stroke incidence, with an inflection point at 26.63 kg/m2 for BMI. Each 1 kg/m2 increase in BMI to the left of the inflection point was related to a 4.4% increase in stroke risk (HR=1.044, 95% CI: 1.019-1.069). We stratified individuals by gender to further investigate their association and found a particular non-linear relationship and saturation effect between BMI and stroke risk in men, with the inflection point at 25.94 kg/m2. Each 1 kg/m2 increase in BMI to the left of the inflection point was related to a 7.6% increase in stroke risk (HR=1.076, 95% CI 1.034-1.119). The association was linear in women, with each 1 kg/m2 increase in BMI associated with a 2.1% increase in stroke risk (HR=1.021, 95% CI 1.002, 1.040).ConclusionIn men, there was a specific non-linear association and saturation effect of BMI with stroke (inflection point of 25.94 kg/m2), while in women, there was none. When males had a BMI below 25.94 kg/m2, the risk of stroke was significantly and positively associated with BMI. By controlling BMI below 25.94 kg/m2 in men, a further decrease in BMI may promote a significant reduction in stroke risk.

Dataset Information

Dose-response relationship between body mass index and tuberculosis in China: a population-based cohort study.

Objectives

Design

Setting

Participants

Interventions

Primary outcome measures

Results

Conclusions

Publications

Dose-response relationship between body mass index and tuberculosis in China: a population-based cohort study.

Similar Datasets

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