Prevalence and Risk Factors for Mycobacterium tuberculosis Infection Among Adolescents in Rural South Africa

Author:

Mzembe Themba12,Lessells Richard134ORCID,Karat Aaron S1ORCID,Randera-Rees Safiyya2,Edwards Anita2,Khan Palwasha15ORCID,Tomita Andrew236,Tanser Frank24789ORCID,Baisley Kathy1ORCID,Grant Alison D12910ORCID

Affiliation:

1. TB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom

2. Africa Health Research Institute, KwaZulu-Natal, South Africa

3. KwaZulu-Natal Research Innovation and Sequencing Platform, University of KwaZulu-Natal, Durban, South Africa

4. Centre for the AIDS Programme of Research in South Africa (CAPRISA), UKZN, Durban, South Africa

5. Interactive Research and Development, Karachi, Pakistan

6. Centre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa

7. School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa

8. Lincoln Institute for Health, University of Lincoln, Lincoln, United Kingdom

9. School of Public Health, University of the Witwatersrand, Johannesburg, South Africa

10. School of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa

Abstract

Abstract Background We aimed to estimate the prevalence of and explore risk factors for Mycobacterium tuberculosis infection among adolescents in a high tuberculosis (TB) and human immunodeficiency virus (HIV) prevalence setting. Methods A cross-sectional study of adolescents (10–19 years) randomly selected from a demographic surveillance area (DSA) in rural KwaZulu-Natal, South Africa. We determined M tuberculosis infection status using the QuantiFERON-TB Gold-plus assay. We used HIV data from the DSA to estimate community-level adult HIV prevalence and random-effects logistic regression to identify risk factors for TB infection. Results We enrolled 1094 adolescents (548 [50.1%] female); M tuberculosis infection prevalence (weighted for nonresponse by age, sex, and urban/rural residence) was 23.0% (95% confidence interval [CI], 20.6–25.6%). Mycobacterium tuberculosis infection was associated with older age (adjusted odds ratio [aOR], 1.37; 95% CI, 1.10–1.71, for increasing age-group [12–14, 15–17, and 18–19 vs 10–11 years]), ever (vs never) having a household TB contact (aOR, 2.13; 95% CI, 1.25–3.64), and increasing community-level HIV prevalence (aOR, 1.43 and 95% CI, 1.07–1.92, for increasing HIV prevalence category [25%–34.9%, 35%–44.9%, ≥45% vs <25%]). Conclusions Our data support prioritizing TB prevention and care activities in TB-affected households and high HIV prevalence communities.

Funder

ViiV Healthcare’s Positive Action for Adolescents Programme

Wellcome Trust

South Africa Population Research Infrastructure Network

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Oncology

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