Logo Logo
Hilfe
Hilfe
Switch Language to English

Larsson, Leyla ORCID logoORCID: https://orcid.org/0000-0003-4869-4630; Calderwood, Claire J ORCID logoORCID: https://orcid.org/0000-0002-1926-7464; Marambire, Edson T ORCID logoORCID: https://orcid.org/0000-0001-5944-5010; Held, Kathrin ORCID logoORCID: https://orcid.org/0000-0001-7057-6935; Banze, Denise; Mfinanga, Alfred; Madziva, Karlos; Walsh, Phoebe; Jacob, Joseph; Fernandez, Francisco Trinchan; Lungu, Patrick; Mesic, Anita; Khosa, Celso ORCID logoORCID: https://orcid.org/0000-0001-6701-4202; Minja, Lilian T; Mutsvangwa, Junior; Bhargava, Madhavi; Lauseker, Michael ORCID logoORCID: https://orcid.org/0000-0002-6662-7127; Gupta, Rishi K ORCID logoORCID: https://orcid.org/0000-0002-6257-1285; Heinrich, Norbert ORCID logoORCID: https://orcid.org/0000-0001-9252-7106 und Kranzer, Katharina ORCID logoORCID: https://orcid.org/0000-0001-5691-7270 (2025): Body Mass Index Trajectories and Association With Tuberculosis Risk in a Cohort of Household Contacts in Southern Africa. In: Clinical Infectious Diseases, ciaf222 [PDF, 992kB]

[thumbnail of ciaf222.pdf]
Vorschau
Creative Commons: Namensnennung 4.0 (CC-BY)
Veröffentlichte Version

Abstract

Background: Studies have demonstrated an inverse log-linear relationship between body mass index (BMI) and tuberculosis incidence. However, a person's BMI is dynamic and longitudinal changes may be more informative than cross-sectional assessments. We evaluate the association between cross-sectional and changing BMI and risk of tuberculosis and describe longitudinal trajectories in a high-risk cohort.

Methods: ERASE-TB was a prospective longitudinal cohort study of household contacts ≥10 years in Southern Africa (Zimbabwe, Tanzania, and Mozambique), with 6-monthly follow-up up to 24 months. Associations between BMI and tuberculosis were investigated based on baseline (including haemoglobin) and changing BMI, using logistic, Poisson, and Cox models. Prevalent tuberculosis was defined as diagnosis during <30 days after recruitment. Growth mixture modelling (GMM) was used to model longitudinal latent trajectories.

Results: Of 2,107 recruited household contacts (621 [29.5%] adolescents and 1,310 [62.2%] female), 520 (24.7%) were underweight. There were 21 and 41 people diagnosed with prevalent and incident tuberculosis, of whom 5/21 (23.8%) and 12/41 (29.3%) were underweight. Being underweight and anaemic (aHR: 3.77, 95% CI: 1.50-9.51) and >10% negative change in BMI during follow-up (aIRR: 2.27 (95% CI: 0.22-22.9) were associated with increased risk of incident tuberculosis. The association between continuous BMI-for-age Z-scores were non-linear, with increased risk of tuberculosis with lower BMI. Four latent groups were defined in the GMM: increasing, decreasing, and low/high stable BMI.

Conclusions: Declining BMI, regardless of absolute value, is a strong predictor of tuberculosis among household contacts. Longitudinal measurements should be considered in active case finding among tuberculosis-affected households.

Dokument bearbeiten Dokument bearbeiten