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Sex and Gender Influence on Cardiovascular Health in Sub-Saharan Africa: Findings from Ghana, Gambia, Mali, Guinea, and Botswana

BACKGROUND: There is an upsurge of cardiovascular diseases (CVDs) in sub-Saharan Africa (SSA). Irrespective of biological sex, gender-related factors could be the precursor of these conditions. OBJECTIVE: To examine the associations between biological sex, gender-related variables, and cardiovascula...

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Detalles Bibliográficos
Autores principales: Dev, Rubee, Favour-Ofili, Divine, Raparelli, Valeria, Behlouli, Hassan, Azizi, Zahra, Kublickiene, Karolina, Kautzky-Willer, Alexandra, Herrero, Maria Trinidad, Pilote, Louise, Norris, Colleen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438458/
https://www.ncbi.nlm.nih.gov/pubmed/36199562
http://dx.doi.org/10.5334/gh.1146
Descripción
Sumario:BACKGROUND: There is an upsurge of cardiovascular diseases (CVDs) in sub-Saharan Africa (SSA). Irrespective of biological sex, gender-related factors could be the precursor of these conditions. OBJECTIVE: To examine the associations between biological sex, gender-related variables, and cardiovascular health (CVH) risk factors in SSA countries. METHODS: We used data from the STEPwise approach to surveillance of risk factors for non-communicable disease survey, conducted in adults from Ghana, Gambia, Mali, Guinea, and Botswana. The main outcome was CVH, measured through the health index with values ranging from 0 (worst) to 5 (best or ideal) CVH. Multivariable logistic regression was applied to determine the gender-related factors related to poorer CVH (index less than 4). RESULTS: Data included 15,356 adults (61.4% females, mean age 36.9 years). The prevalence of hypertension (21.6% vs. 13.8%) and overweight/obesity (48.3% vs. 27.5%) was higher among females as compared to males. Females were more likely to be unemployed (17.3% vs. 9.7%) or reported unpaid work (36.8% vs. 15.2%). Overall, females showed worse CVH than males (OR(female) = 0.95, 95% CI:0.91–0.99). Being married was associated with better CVH compared with being single, more so for males (OR(male) = 1.09, 95% CI:0.96–1.24, p(interaction) < 0.01). Males with unpaid work (OR(male) = 1.28, 95% CI:1.12–1.47) had better CVH than their unpaid female counterparts (OR(female) = 1.08, 95% CI:1.01–1.17). CONCLUSION: In SSA populations, being female was associated with poorer CVH given the disproportionate burden of hypertension and overweight/obesity. Gender-related factors such as marital status and unpaid work were associated with better CVH in males compared to females.