The age-specific burden and household and school-based predictors of child and adolescent tuberculosis infection in rural Uganda.
<h4>Background</h4>The age-specific epidemiology of child and adolescent tuberculosis (TB) is poorly understood, especially in rural areas of East Africa. We sought to characterize the age-specific prevalence and predictors of TB infection among children and adolescents living in rural U...
Main Authors: | , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0228102 |
id |
doaj-088bf75605694617a30dd0f108846917 |
---|---|
record_format |
Article |
spelling |
doaj-088bf75605694617a30dd0f1088469172021-03-04T11:19:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01151e022810210.1371/journal.pone.0228102The age-specific burden and household and school-based predictors of child and adolescent tuberculosis infection in rural Uganda.Carina MarquezMucunguzi AtukundaLaura B BalzerGabriel ChamieJoel KirondeEmmanuel SsemmondoTheodore D RuelFlorence MwangwaKhai Hoan TramTamara D ClarkDalsone KwarisiimaMaya PetersenMoses R KamyaEdwin D CharleboisDiane V Havlir<h4>Background</h4>The age-specific epidemiology of child and adolescent tuberculosis (TB) is poorly understood, especially in rural areas of East Africa. We sought to characterize the age-specific prevalence and predictors of TB infection among children and adolescents living in rural Uganda, and to explore the contribution of household TB exposure on TB infection.<h4>Methods</h4>From 2015-2016 we placed and read 3,121 tuberculin skin tests (TST) in children (5-11 years old) and adolescents (12-19 years old) participating in a nested household survey in 9 rural Eastern Ugandan communities. TB infection was defined as a positive TST (induration ≥10mm or ≥5mm if living with HIV). Age-specific prevalence was estimated using inverse probability weighting to adjust for incomplete measurement. Generalized estimating equations were used to assess the association between TB infection and multi-level predictors.<h4>Results</h4>The adjusted prevalence of TB infection was 8.5% (95%CI: 6.9-10.4) in children and 16.7% (95% CI:14.0-19.7) in adolescents. Nine percent of children and adolescents with a prevalent TB infection had a household TB contact. Among children, having a household TB contact was strongly associated with TB infection (aOR 5.5, 95% CI: 1.7-16.9), but the strength of this association declined among adolescents and did not meet significance (aOR 2.3, 95% CI: 0.8-7.0). The population attributable faction of TB infection due to a household TB contact was 8% for children and 4% among adolescents. Mobile children and adolescents who travel outside of their community for school had a 1.7 (95% CI 1.0-2.9) fold higher odds of TB infection than those who attended school in the community.<h4>Conclusion</h4>Children and adolescents in this area of rural eastern Uganda suffer a significant burden of TB. The majority of TB infections are not explained by a known household TB contact. Our findings underscore the need for community-based TB prevention interventions, especially among mobile youth.https://doi.org/10.1371/journal.pone.0228102 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carina Marquez Mucunguzi Atukunda Laura B Balzer Gabriel Chamie Joel Kironde Emmanuel Ssemmondo Theodore D Ruel Florence Mwangwa Khai Hoan Tram Tamara D Clark Dalsone Kwarisiima Maya Petersen Moses R Kamya Edwin D Charlebois Diane V Havlir |
spellingShingle |
Carina Marquez Mucunguzi Atukunda Laura B Balzer Gabriel Chamie Joel Kironde Emmanuel Ssemmondo Theodore D Ruel Florence Mwangwa Khai Hoan Tram Tamara D Clark Dalsone Kwarisiima Maya Petersen Moses R Kamya Edwin D Charlebois Diane V Havlir The age-specific burden and household and school-based predictors of child and adolescent tuberculosis infection in rural Uganda. PLoS ONE |
author_facet |
Carina Marquez Mucunguzi Atukunda Laura B Balzer Gabriel Chamie Joel Kironde Emmanuel Ssemmondo Theodore D Ruel Florence Mwangwa Khai Hoan Tram Tamara D Clark Dalsone Kwarisiima Maya Petersen Moses R Kamya Edwin D Charlebois Diane V Havlir |
author_sort |
Carina Marquez |
title |
The age-specific burden and household and school-based predictors of child and adolescent tuberculosis infection in rural Uganda. |
title_short |
The age-specific burden and household and school-based predictors of child and adolescent tuberculosis infection in rural Uganda. |
title_full |
The age-specific burden and household and school-based predictors of child and adolescent tuberculosis infection in rural Uganda. |
title_fullStr |
The age-specific burden and household and school-based predictors of child and adolescent tuberculosis infection in rural Uganda. |
title_full_unstemmed |
The age-specific burden and household and school-based predictors of child and adolescent tuberculosis infection in rural Uganda. |
title_sort |
age-specific burden and household and school-based predictors of child and adolescent tuberculosis infection in rural uganda. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2020-01-01 |
description |
<h4>Background</h4>The age-specific epidemiology of child and adolescent tuberculosis (TB) is poorly understood, especially in rural areas of East Africa. We sought to characterize the age-specific prevalence and predictors of TB infection among children and adolescents living in rural Uganda, and to explore the contribution of household TB exposure on TB infection.<h4>Methods</h4>From 2015-2016 we placed and read 3,121 tuberculin skin tests (TST) in children (5-11 years old) and adolescents (12-19 years old) participating in a nested household survey in 9 rural Eastern Ugandan communities. TB infection was defined as a positive TST (induration ≥10mm or ≥5mm if living with HIV). Age-specific prevalence was estimated using inverse probability weighting to adjust for incomplete measurement. Generalized estimating equations were used to assess the association between TB infection and multi-level predictors.<h4>Results</h4>The adjusted prevalence of TB infection was 8.5% (95%CI: 6.9-10.4) in children and 16.7% (95% CI:14.0-19.7) in adolescents. Nine percent of children and adolescents with a prevalent TB infection had a household TB contact. Among children, having a household TB contact was strongly associated with TB infection (aOR 5.5, 95% CI: 1.7-16.9), but the strength of this association declined among adolescents and did not meet significance (aOR 2.3, 95% CI: 0.8-7.0). The population attributable faction of TB infection due to a household TB contact was 8% for children and 4% among adolescents. Mobile children and adolescents who travel outside of their community for school had a 1.7 (95% CI 1.0-2.9) fold higher odds of TB infection than those who attended school in the community.<h4>Conclusion</h4>Children and adolescents in this area of rural eastern Uganda suffer a significant burden of TB. The majority of TB infections are not explained by a known household TB contact. Our findings underscore the need for community-based TB prevention interventions, especially among mobile youth. |
url |
https://doi.org/10.1371/journal.pone.0228102 |
work_keys_str_mv |
AT carinamarquez theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT mucunguziatukunda theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT laurabbalzer theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT gabrielchamie theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT joelkironde theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT emmanuelssemmondo theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT theodoredruel theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT florencemwangwa theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT khaihoantram theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT tamaradclark theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT dalsonekwarisiima theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT mayapetersen theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT mosesrkamya theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT edwindcharlebois theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT dianevhavlir theagespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT carinamarquez agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT mucunguziatukunda agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT laurabbalzer agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT gabrielchamie agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT joelkironde agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT emmanuelssemmondo agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT theodoredruel agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT florencemwangwa agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT khaihoantram agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT tamaradclark agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT dalsonekwarisiima agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT mayapetersen agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT mosesrkamya agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT edwindcharlebois agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda AT dianevhavlir agespecificburdenandhouseholdandschoolbasedpredictorsofchildandadolescenttuberculosisinfectioninruraluganda |
_version_ |
1714803872305774592 |