S'abonner

A population-based cardiovascular cohort in Subsaharian Africa: The pilot project Tanve Health Study (Tahes) in Benin - 05/07/18

Doi : 10.1016/j.respe.2018.05.239 
S.A. Amidou a, b, , P. Lacroix b, c, Y.C. Houehanou a, D. Houinato a, b, P.-M. Preux b, I.M. Yoro a, b
a Laboratory of Chronic and Neurologic Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin 
b Inserm UMR 1094, Tropical Neuroepidemiology, University of Limoges, Limoges, France 
c Department of Thoracic and Cardiovascular Surgery and Angiology, Dupuytren University Hospital, Limoges, France 

Corresponding author.

Bienvenue sur EM-consulte, la référence des professionnels de santé.
Article gratuit.

Connectez-vous pour en bénéficier!

Summary

Background

Sub-Saharan Africa (SSA) is facing a growing burden of non-communicable diseases due to epidemiological transitions following increasing urbanization and changing lifestyle. But available tools for prediction of these diseases including cardiovascular disease (CVD) are largely adapted from western regions data. So, there is an urgent need for building appropriate tools from large and long population-based cohorts in SSA.

Objective

The objective of the pilot project TAHES was to explore the feasibility of a large cohort study focused on CVD and risk factors in Benin.

Methods

TAHES pilot project is a prospective cohort ongoing since February 2015 among all people aged 25 years or above living at Tanvè, a village of Agbangnizoun in the center of Benin Republic. CVD risk factors data were collected using a standardized questionnaire adapted from the WHO Steps instrument through a baseline door-to-door survey, followed by annuals visits. A daily surveillance was implemented by visits of medical network for recording events of interest: peripheral artery diseases, myocardial infraction, stroke, congestive heart failure and deaths. This had been supported by a community surveillance through household weekly visit to offset the low health services coverage and limited use of formal health services by the population. Community agent notifies events and administrates a verbal autopsy in case of death. To perform a good follow-up and bypass specifics challenges as no house addresses and lack of civil registration, geographic data were collected for each household and each included subject have been identified through a composite 8-digit ID number, including specifics numbers for area (1 digit), house number (3 digit), household number (2 digit) and individual number (2 digit).

Results

Up to date a total of 1793 participants were enrolled equaling to 4068.7 persons years of follow-up. Women represented 61.1% and the mean age was 42.7±16.5 years. At baseline, we recorded a prevalence of 2.3% (95% CI: 1.7–3.2) of daily smoking, 9.15% (95% CI: 7.9–10.6) of harmful use of alcohol, 9.3% (95% CI: 8.0–10.8) of obesity, 32.1% (95% CI: 29.9–34.3) of high blood pressure, and 3.5% (95% CI: 2.7–4.5) of diabetes.

During follow-up 64 events occurred in the cohort: 15 within the first year of follow-up, 18 for the second year and 31 for the third year. Recorded events were 55 cases of death, 6 cases of stroke and 3 cases of congestive heart failure. The mean age of death occurrence was 71.4±25.2. CVD represented 29.0% of the causes of death (8/55 for stroke, 5/55 for congestive health failure, 2/55 for sudden death and 1/55 for PAD). The others causes are infectious diseases (25.4%), others noncomunicables diseases (25.4%) and undetermined causes (20.0%). The overall incidence of CVD events was 25 cases equal to 6.1 cases for 1000 person-year. The rate of death for CVD event was 48.0%.

Conclusion

CVD had a high burden among this rural population and was associated to a high rate of death. TAHES methodology is being improved by adapting to local specifics challenges. Lessons from the pilot phase will help building strong and large cohort that should survives generations for being useful.

Le texte complet de cet article est disponible en PDF.

Keywords : Cardiovascular disease, Stroke, Peripheral artery disease, Benin, Sub-Saharan Africa


Plan


© 2018  Publié par Elsevier Masson SAS.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 66 - N° S5

P. S326-S327 - juillet 2018 Retour au numéro
Article précédent Article précédent
  • The relationship between healthy life expectancy and smoking, hypertension and body mass index in a Japanese population: A multistate life table method using Nippon Data90
  • R. Tsukinoki, Y. Murakami, K. Miura, T. Okamura, A. Kadota, T. Hayakawa, A. Okayama, H. Ueshima
| Article suivant Article suivant
  • Maternal thyroid disorder in pregnancy and risk of cerebral palsy in the child: A population-based cohort study
  • T.G. Petersen, A-M. Nybo-Andersen, P. Uldall, N. Paneth, U. Feldt-Rasmussen, M. Christophersen Tollånes

Bienvenue sur EM-consulte, la référence des professionnels de santé.

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.