» Articles » PMID: 38422092

Tobacco Smoking Clusters in Households Affected by Tuberculosis in an Individual Participant Data Meta-analysis of National Tuberculosis Prevalence Surveys: Time for Household-wide Interventions?

Abstract

Tuberculosis (TB) and non-communicable diseases (NCD) share predisposing risk factors. TB-associated NCD might cluster within households affected with TB requiring shared prevention and care strategies. We conducted an individual participant data meta-analysis of national TB prevalence surveys to determine whether NCD cluster in members of households with TB. We identified eligible surveys that reported at least one NCD or NCD risk factor through the archive maintained by the World Health Organization and searching in Medline and Embase from 1 January 2000 to 10 August 2021, which was updated on 23 March 2023. We compared the prevalence of NCD and their risk factors between people who do not have TB living in households with at least one person with TB (members of households with TB), and members of households without TB. We included 16 surveys (n = 740,815) from Asia and Africa. In a multivariable model adjusted for age and gender, the odds of smoking was higher among members of households with TB (adjusted odds ratio (aOR) 1.23; 95% CI: 1.11-1.38), compared with members of households without TB. The analysis did not find a significant difference in the prevalence of alcohol drinking, diabetes, hypertension, or BMI between members of households with and without TB. Studies evaluating household-wide interventions for smoking to reduce its dual impact on TB and NCD may be warranted. Systematically screening for NCD using objective diagnostic methods is needed to understand the actual burden of NCD and inform comprehensive interventions.

Citing Articles

Prevalence of non-communicable diseases among household contacts of people with tuberculosis: A systematic review and individual participant data meta-analysis.

Hamada Y, Quartagno M, Malik F, Ntshamane K, Tisler A, Gaikwad S Trop Med Int Health. 2024; 29(9):768-780.

PMID: 39073229 PMC: 11368628. DOI: 10.1111/tmi.14038.

References
1.
Restrepo B, Kleynhans L, Salinas A, Abdelbary B, Tshivhula H, Aguillon-Duran G . Diabetes screen during tuberculosis contact investigations highlights opportunity for new diabetes diagnosis and reveals metabolic differences between ethnic groups. Tuberculosis (Edinb). 2018; 113:10-18. PMC: 6284235. DOI: 10.1016/j.tube.2018.08.007. View

2.
Riley L, Guthold R, Cowan M, Savin S, Bhatti L, Armstrong T . The World Health Organization STEPwise Approach to Noncommunicable Disease Risk-Factor Surveillance: Methods, Challenges, and Opportunities. Am J Public Health. 2015; 106(1):74-8. PMC: 4695948. DOI: 10.2105/AJPH.2015.302962. View

3.
Marks G, Nguyen N, Nguyen P, Nguyen T, Nguyen H, Tran K . Community-wide Screening for Tuberculosis in a High-Prevalence Setting. N Engl J Med. 2019; 381(14):1347-1357. DOI: 10.1056/NEJMoa1902129. View

4.
Al-Rifai R, Pearson F, Critchley J, Abu-Raddad L . Association between diabetes mellitus and active tuberculosis: A systematic review and meta-analysis. PLoS One. 2017; 12(11):e0187967. PMC: 5697825. DOI: 10.1371/journal.pone.0187967. View

5.
Gunasekera K, Cohen T, Gao W, Ayles H, Godfrey-Faussett P, Claassens M . Smoking and HIV associated with subclinical tuberculosis: analysis of a population-based prevalence survey. Int J Tuberc Lung Dis. 2020; 24(3):340-346. DOI: 10.5588/ijtld.19.0387. View