Dietary patterns associated with hypertension among stroke-free indigenous Africans: insights from the Stroke Investigative Research and Educational Network study.


Journal

Journal of hypertension
ISSN: 1473-5598
Titre abrégé: J Hypertens
Pays: Netherlands
ID NLM: 8306882

Informations de publication

Date de publication:
17 Jan 2024
Historique:
medline: 17 1 2024
pubmed: 17 1 2024
entrez: 17 1 2024
Statut: aheadofprint

Résumé

The dietary factors associated with the high burden of hypertension among indigenous Africans remain poorly understood. We assessed the relationship between dietary patterns and hypertension among indigenous Africans. In this study, 1550 participants with hypertension matched (for age: ± 5 years, sex and ethnicity) with 1550 participants without hypertension were identified from the stroke-free population in the Stroke Investigative Research and Educational Network study in Ghana and Nigeria. Food consumption was assessed using a food frequency questionnaire (FFQ), and dietary information was summarized using principal component analysis (PCA) to identify seven dietary patterns. Conditional logistic regression was applied to compute the odds ratio (OR) and 95% confidence interval (CI) for the risk of hypertension by tertiles of dietary patterns adjusting for age, education, income, smoking, alcohol use, physical inactivity, family history of cardiovascular diseases, obesity and salt intake at a two-sided P less than 0.05. Multivariable-adjusted OR [95% confidence interval (CI)] for risk of hypertension by second and third tertiles [using the lowest (first) tertile as reference] of dietary patterns were 0.62 (0.48-0.80), 0.70 (0.54-0.90) for whole grains and fruit drinks; 0.87 (0.68-1.12), 0.83 (0.64-1.08) for fruits; 0.85 (0.65-1.10), 0.97 (0.75-1.26) for vegetables, legumes and potatoes; 0.78 (0.60-1.00), 0.84 (0.65-1.08) for fried foods and sweetened drinks; 1.13 (0.88-1.45), 0.80 (0.62-1.03) for poultry product and organ meat; 1.11 (0.86-1.43), 0.88 (0.68-1.14) for red meat; and 1.14 (0.88-1.48), 1.09 (0.84-1.43) for processed foods (P < 0.05). A higher adherence to dietary consumption of whole grains and fruits was inversely associated with low odds of hypertension in this population.

Sections du résumé

BACKGROUND BACKGROUND
The dietary factors associated with the high burden of hypertension among indigenous Africans remain poorly understood. We assessed the relationship between dietary patterns and hypertension among indigenous Africans.
METHOD METHODS
In this study, 1550 participants with hypertension matched (for age: ± 5 years, sex and ethnicity) with 1550 participants without hypertension were identified from the stroke-free population in the Stroke Investigative Research and Educational Network study in Ghana and Nigeria. Food consumption was assessed using a food frequency questionnaire (FFQ), and dietary information was summarized using principal component analysis (PCA) to identify seven dietary patterns. Conditional logistic regression was applied to compute the odds ratio (OR) and 95% confidence interval (CI) for the risk of hypertension by tertiles of dietary patterns adjusting for age, education, income, smoking, alcohol use, physical inactivity, family history of cardiovascular diseases, obesity and salt intake at a two-sided P less than 0.05.
RESULTS RESULTS
Multivariable-adjusted OR [95% confidence interval (CI)] for risk of hypertension by second and third tertiles [using the lowest (first) tertile as reference] of dietary patterns were 0.62 (0.48-0.80), 0.70 (0.54-0.90) for whole grains and fruit drinks; 0.87 (0.68-1.12), 0.83 (0.64-1.08) for fruits; 0.85 (0.65-1.10), 0.97 (0.75-1.26) for vegetables, legumes and potatoes; 0.78 (0.60-1.00), 0.84 (0.65-1.08) for fried foods and sweetened drinks; 1.13 (0.88-1.45), 0.80 (0.62-1.03) for poultry product and organ meat; 1.11 (0.86-1.43), 0.88 (0.68-1.14) for red meat; and 1.14 (0.88-1.48), 1.09 (0.84-1.43) for processed foods (P < 0.05).
CONCLUSION CONCLUSIONS
A higher adherence to dietary consumption of whole grains and fruits was inversely associated with low odds of hypertension in this population.

Identifiants

pubmed: 38230616
doi: 10.1097/HJH.0000000000003662
pii: 00004872-990000000-00399
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.

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Auteurs

Akinkunmi Paul Okekunle (AP)

Department of Medicine, University of Ibadan, Nigeria.
Department of Food and Nutrition, Seoul National University, Korea.

Osahon Jeffery Asowata (OJ)

Department of Epidemiology and Medical Statistics.

Onoja Matthew Akpa (OM)

Department of Epidemiology and Medical Statistics.
Institute of Cardiovascular Diseases, University of Ibadan.

Adekunle Gregory Fakunle (AG)

Department of Medicine, University of Ibadan, Nigeria.
Department of Public Health, Osun State University, Osogbo, Osun State.

Ifeoluwa Bodunde (I)

Department of Epidemiology and Medical Statistics.

Morenikeji Komolafe (M)

Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife.

Oyedunni Arulogun (O)

Department of Health Promotion and Education, University of Ibadan, Nigeria.

Fred Stephen Sarfo (FS)

Department of Medicine, Kwame Nkrumah University of Science and Technology, Ghana.

Reginald Obiako (R)

Department of Medicine, Ahmadu Bello University, Zaria.

Godwin Osaigbovo (G)

Jos University Teaching Hospital Jos.

Godwin Ogbole (G)

Department of Radiology, College of Medicine, University of Ibadan.

Abiodun Bello (A)

Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria.

Sunday Adeniyi (S)

Department of Medicine, University of Ilorin Teaching Hospital, Ilorin, Nigeria.

Benedict Calys-Tagoe (B)

Department of Medicine, Kwame Nkrumah University of Science and Technology, Ghana.

Lambert Appiah (L)

Department of Medicine, Kwame Nkrumah University of Science and Technology, Ghana.

Carolyn Jenkins (C)

Medical University of South Carolina, South Carolina, USA.

Olalekan Oyinloye (O)

Department of Medicine, Obafemi Awolowo University Teaching Hospital, Ile-Ife.

Hamisu Dambatta (H)

Department of Medicine, Aminu Kano Teaching Hospital, Kano.

Olayemi Balogun (O)

Department of Medicine, Ahmadu Bello University, Zaria.

Arti Singh (A)

Department of Medicine, University of Ghana Medical School, Accra, Ghana.

Abimbola Olalere (A)

Department of Medicine, University of Ibadan, Nigeria.

Yaw Mensah (Y)

Department of Medicine, Kwame Nkrumah University of Science and Technology, Ghana.

Okechukwu S Ogah (OS)

Department of Medicine, University of Ibadan, Nigeria.

Philip Ibinaiye (P)

Department of Medicine, Ahmadu Bello University, Zaria.

Oladimeji Adebayo (O)

Department of Medicine, University of Ibadan, Nigeria.

Olayinka Adebajo (O)

Department of Medicine, University of Ibadan, Nigeria.

Philip Adebayo (P)

Aga-Khan University Dar es Salaam Tanzania.

Ijezie Chukwuonye (I)

Department of Medicine, Federal Medical Centre, Umahia.

Rufus Akinyemi (R)

Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training College of Medicine.
Center for Genomic and Precision Medicine, University of Ibadan, Nigeria.

Bruce Ovbiagele (B)

Weill Institute for Neurosciences, University of California San Francisco, USA.

Mayowa Owolabi (M)

Department of Medicine, University of Ibadan, Nigeria.
Center for Genomic and Precision Medicine, University of Ibadan, Nigeria.
Lebanese American University of Beirut, Lebanon.
Blossom Specialist Medican Centre, Ibadan, Nigeria.

Classifications MeSH