We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Association of Obesity, Diabetes, and Risk of Tuberculosis: Two Population-Based Cohorts.
- Authors
Lin, Hsien-Ho; Wu, Chieh-Yin; Wang, Chih-Hui; Fu, Han; Lönnroth, Knut; Chang, Yi-Cheng; Huang, Yen-Tsung
- Abstract
Background. Mounting data have revealed that body mass index (BMI) is inversely associated with risk of active tuberculosis. The inverse association presents a "paradox" with regard to diabetes, because obesity is a major determinant of diabetes, and diabetes is a well-known risk factor for tuberculosis. Methods. We conducted 2 population-based cohort studies involving 167 392 participants. The main exposure was BMI and diabetes ascertained at baseline. Occurrence of incident tuberculosis was ascertained from Taiwan's National Tuberculosis Registry. We conducted a causal mediation analysis and a joint effects analysis to characterize the relationship between BMI, diabetes, and tuberculosis. Results. During a median of >7 years of follow-up, 491 individuals developed incident tuberculosis. Compared with normal- weight individuals, obese individuals (>30 kg/m2) had a 67% (95% confidence interval [CI], -3% to -90%) and 64% (31%-81%) reduction in tuberculosis hazard in the 2 cohorts. In the causal mediation analysis, obesity had a harmful effect on tuberculosis mediated through diabetes (0.8% and 2.7% increased odds in the 2 cohorts, respectively) but had a strongly protective effect not mediated through diabetes (72% and 67% decreased odds, respectively). Individuals who were simultaneously obese and diabetic had a lower but statistically insignificant risk of tuberculosis (adjusted hazard ratio, 0.30; 95% CI, .08-1.22) compared with nondiabetic normal-weight individuals. Conclusions. Our analyses revealed that the relationship between obesity, diabetes, and risk of tuberculosis was complex and nonlinear. Better understanding of the interplay between host metabolism and tuberculosis immunology may lead to novel therapeutic or preventive strategies.
- Subjects
DIABETES complications; TUBERCULOSIS prevention; TUBERCULOSIS risk factors; OBESITY complications; CHAOS theory; CONFIDENCE intervals; LONGITUDINAL method; CAUSAL models; BODY mass index; ODDS ratio; POPULATION-based case control
- Publication
Clinical Infectious Diseases, 2018, Vol 66, Issue 5, p699
- ISSN
1058-4838
- Publication type
Article
- DOI
10.1093/cid/cix852