Levels, trends and inequalities in mortality among 5-19-year-olds in Tanzania: Magu Health and Demographic Surveillance Study (1995-2022).


Journal

Journal of global health
ISSN: 2047-2986
Titre abrégé: J Glob Health
Pays: Scotland
ID NLM: 101578780

Informations de publication

Date de publication:
26 Jul 2024
Historique:
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 25 7 2024
Statut: epublish

Résumé

For the past two decades, health priorities in Tanzania have focussed on children under-five, leaving behind the older children and adolescents (5-19 years). Understanding mortality patterns beyond 5 years is important in bridging a healthy gap between childhood to adulthood. We aimed to estimate mortality levels, trends, and inequalities among 5-19-year-olds using population data from the Magu Health and Demographic Surveillance Site (HDSS) in Tanzania and further compare the population level estimates with global estimates. Using data from the Magu HDSS from 1995 to 2022, from Kaplan Meir survival probabilities, we computed annual mortality probabilities for ages 5-9, 10-14 and 15-19 and determined the average annual rate of change in mortality by fitting the variance weighted least square regression on annual mortality probabilities. We compared 5-19 trends with younger children aged 1-4 years. We further disaggregated mortality by sex, area of residence and wealth tertiles, and we computed age-stratified risk ratios with respective 95% confidence intervals (CIs) using Cox proportional hazard model to determine inequalities. We further compared population-level estimates in all-cause mortality with global estimates from the United Nations Inter-agency Group for Child Mortality Estimation and the Global Burden of Disease study by computing the relative differences to the estimates. Mortality declined steadily among the three age groups from 1995 to 2022, whereby the average annual rate of decline increased with age (2.2%, 2.7%, and 2.9% for 5-9-, 10-14-, and 15-19-year-old age groups, respectively). The pace of this decline was lower than that of younger children aged 1-4 years (4.8% decline). We observed significant mortality inequalities with boys, those residing in rural areas, and those from poorest wealth tertiles lagging behind. While Magu estimates were close to global estimates for the 5-9-year-old age group, we observed divergent results for adolescents (10-19 years), with Magu estimates lying between the global estimates. The pace of mortality decline was lower for the 5-19-year-old age group compared to younger children, with observable inequalities by socio-demographic characteristics. Determining the burden of disease across different strata is important in the development of evidence-based targeted interventions to address the mortality burden and inequalities in this age group, as it is an important transition period to adulthood.

Sections du résumé

Background UNASSIGNED
For the past two decades, health priorities in Tanzania have focussed on children under-five, leaving behind the older children and adolescents (5-19 years). Understanding mortality patterns beyond 5 years is important in bridging a healthy gap between childhood to adulthood. We aimed to estimate mortality levels, trends, and inequalities among 5-19-year-olds using population data from the Magu Health and Demographic Surveillance Site (HDSS) in Tanzania and further compare the population level estimates with global estimates.
Methods UNASSIGNED
Using data from the Magu HDSS from 1995 to 2022, from Kaplan Meir survival probabilities, we computed annual mortality probabilities for ages 5-9, 10-14 and 15-19 and determined the average annual rate of change in mortality by fitting the variance weighted least square regression on annual mortality probabilities. We compared 5-19 trends with younger children aged 1-4 years. We further disaggregated mortality by sex, area of residence and wealth tertiles, and we computed age-stratified risk ratios with respective 95% confidence intervals (CIs) using Cox proportional hazard model to determine inequalities. We further compared population-level estimates in all-cause mortality with global estimates from the United Nations Inter-agency Group for Child Mortality Estimation and the Global Burden of Disease study by computing the relative differences to the estimates.
Results UNASSIGNED
Mortality declined steadily among the three age groups from 1995 to 2022, whereby the average annual rate of decline increased with age (2.2%, 2.7%, and 2.9% for 5-9-, 10-14-, and 15-19-year-old age groups, respectively). The pace of this decline was lower than that of younger children aged 1-4 years (4.8% decline). We observed significant mortality inequalities with boys, those residing in rural areas, and those from poorest wealth tertiles lagging behind. While Magu estimates were close to global estimates for the 5-9-year-old age group, we observed divergent results for adolescents (10-19 years), with Magu estimates lying between the global estimates.
Conclusion UNASSIGNED
The pace of mortality decline was lower for the 5-19-year-old age group compared to younger children, with observable inequalities by socio-demographic characteristics. Determining the burden of disease across different strata is important in the development of evidence-based targeted interventions to address the mortality burden and inequalities in this age group, as it is an important transition period to adulthood.

Identifiants

pubmed: 39051683
doi: 10.7189/jogh.14.04124
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

04124

Informations de copyright

Copyright © 2024 by the Journal of Global Health. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure of interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interests.

Auteurs

Sophia Kagoye (S)

National Institute for Medical Research, Mwanza Research Centre, Mwanza, Tanzania.
Department of Epidemiology and Biostatistics, Catholic University of Health and Allied Sciences, Mwanza Tanzania.

Eveline T Konje (ET)

Department of Epidemiology and Biostatistics, Catholic University of Health and Allied Sciences, Mwanza Tanzania.

Jim Todd (J)

Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Charles Mangya (C)

National Institute for Medical Research, Mwanza Research Centre, Mwanza, Tanzania.
Department of Epidemiology and Biostatistics, Catholic University of Health and Allied Sciences, Mwanza Tanzania.

Mark Urassa (M)

National Institute for Medical Research, Mwanza Research Centre, Mwanza, Tanzania.

Abdoulaye Maïga (A)

Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

Milly Marston (M)

Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK.

Ties Boerma (T)

Community Health Science, University of Manitoba, Winnipeg, Manitoba, Canada.

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