Measuring Hypertension Progression With Transition Probabilities: Estimates From the WHO SAGE Longitudinal Study.

ACC/AHA 2017 hypertension guidelines elevated blood pressure hypertension multi-state model sub-Saharan Africa transition probabilites

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2021
Historique:
received: 09 06 2020
accepted: 10 03 2021
entrez: 26 4 2021
pubmed: 27 4 2021
medline: 28 5 2021
Statut: epublish

Résumé

This paper assessed the transition probabilities between the stages of hypertension severity and the length of time an individual might spend at a particular disease state using the new American College of Cardiology/American Heart Association hypertension blood pressure guidelines. Data for this study were drawn from the Ghana WHO SAGE longitudinal study, with an analytical sample of 1884 across two waves. Using a multistate Markov model, we estimated a seven-year transition probability between normal/elevated blood pressure (systolic ≤ 129 mm Hg & diastolic <80 mm Hg), stage 1 (systolic 130-139 mm Hg & diastolic 80-89 mm Hg), and stage 2 (systolic ≥140mm Hg & diastolic≥90 mm Hg) hypertension and adjusted for the individual effects of anthropometric, lifestyle, and socio-demographic factors. At baseline, 22.5% had stage 1 hypertension and 52.2% had stage 2 hypertension. The estimated seven-year transition probability for the general population was 19.0% (95% CI: 16.4, 21.8) from normal/elevated blood pressure to stage 1 hypertension, 31.6% (95% CI: 27.6, 35.4%) from stage 1 hypertension to stage 2 hypertension, and 48.5% (45.6, 52.1%) for remaining at stage 2. Other factors such as being overweight, obese, female, aged 60+ years, urban residence, low education and high income were associated with an increased probability of remaining at stage 2 hypertension. However, consumption of recommended servings of fruits and vegetables per day was associated with a delay in the onset of stage 1 hypertension and a recovery to normal/elevated blood pressure. This is the first study to show estimated transition probabilities between the stages of hypertension severity across the lifespan in sub-Saharan Africa. The results are important for understanding progression through hypertension severity and can be used in simulating cost-effective models to evaluate policies and the burden of future healthcare.

Identifiants

pubmed: 33898368
doi: 10.3389/fpubh.2021.571110
pmc: PMC8058215
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

571110

Subventions

Organisme : World Health Organization
ID : 001
Pays : International

Informations de copyright

Copyright © 2021 Boateng, Lartey, Baiden, Si, Biritwum, Kowal, Magnussen, Ben Taleb, Palmer and Luginaah.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Godfred O Boateng (GO)

Department of Kinesiology, College of Nursing and Health Innovations, The University of Texas at Arlington, Arlington, TX, United States.

Stella T Lartey (ST)

Department of Epidemiology and Biostatistics, School of Public Health-Bloomington, Indiana University School of Public Health-Bloomington, Bloomington, IN, United States.

Philip Baiden (P)

School of Social Work, The University of Texas at Arlington, Arlington, TX, United States.

Lei Si (L)

The George Institute for Global Health, University of New South Wales, Kensington, NSW, Australia.

Richard Berko Biritwum (RB)

Department of Community Health, University of Ghana, Accra, Ghana.

Paul Kowal (P)

World Health Organization, Geneva, Switzerland.
University of Newcastle Research Centre for Generational Health and Ageing, Newcastle, NSW, Australia.

Costan G Magnussen (CG)

Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.

Ziyad Ben Taleb (Z)

Department of Kinesiology, College of Nursing and Health Innovations, The University of Texas at Arlington, Arlington, TX, United States.

Andrew J Palmer (AJ)

Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.
Centre for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.

Isaac Luginaah (I)

Department of Geography, University of Western Ontario, London, ON, Canada.

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