Agboyibor Kouamivi Mawuenyegan, Nambiema Aboubakari, Gbeasor Fifonsi, Barengo Noël, Okeibunor Joseph Chukwudi, Jouven Xavier, Dangou Jean-Marie, Farzadfar Farshad, Empana Jean-Philippe
Université Paris Cité, Inserm, Department of Epidemiology, Paris Cardiovascular Research Center, Paris, France.
Université Paris Cité, Institut Santé Globale de Paris, Paris, France.
JAMA Cardiol. 2025 Aug 30. doi: 10.1001/jamacardio.2025.3377.
The distribution and determinants of cardiovascular health (CVH) in the World Health Organization (WHO) African Region have been limited to single-country studies.
To estimate the distribution and determinants of CVH score in the WHO African Region, which comprises Algeria and countries in Sub-Saharan Africa. The secondary objective was to estimate time trends in CVH over 20 years.
DESIGN, SETTING, AND PARTICIPANTS: This study constituted repeated nationwide and subnational cross-sectional WHO STEPS (STEPwise Approach to Noncommunicable Disease Risk Factor Surveillance) surveys from 2003 to 2022 in 22 countries in the WHO African Region. Participants included nonpregnant adults aged 18 to 69 years without known cardiovascular disease (CVD).
Individual factors (age, sex, education level, and marital status) and contextual data from the United Nations Development Programme and the World Bank databases.
The primary outcome was the weighted prevalence of the Life's Simple 7 score categories (0-7, 8-11, and 12-14 indicating poor, intermediate, and ideal CVH, respectively) and the factors associated with CVH status.
The study population included 73 024 individuals free of CVD (mean [SD] age, 35.4 [12.9] years; 49 505 female [weighted, 49.4%]) and representing 95 million people across 22 countries and 25 surveys. The weighted prevalence of ideal, intermediate, and poor CVH was 26.2% (95% CI, 25.7%-28.0%), 57.9% (95% CI, 54.8%-59.0%), and 15.9% (95% CI, 15.1%-17.0%), respectively. Older age, female sex, lower education, and heavy alcohol consumption were associated with lower odds of achieving intermediate or ideal CVH scores (females vs males: odds ratio [OR] for intermediate CVH, 0.77; 95% CI, 0.67-0.89; OR for ideal CVH, 0.80; 95% CI, 0.64-0.92; ages 55-69 vs 18-25 years: OR for intermediate CVH, 0.14; 95% CI, 0.10-0.20; OR for ideal CVH, 0.06; 95% CI, 0.04-0.09; no education vs tertiary: OR for ideal CVH, 0.63; 95% CI, 0.43-0.92; heavy episodic drinking vs nondrinking: OR for ideal CVH, 0.51; 95% CI, 0.39-0.67). Country-level contextual factors, particularly higher mean years of schooling (β = 0.24; 95% CI, 0.17-0.32), higher education percentage (β = 0.01; 95% CI, 0-0.02), and higher prevalence of undernourishment (β = 3.14; 95% CI, 0.63-5.65), were associated with higher CVH scores. The spatial-temporal model did not reveal any statistically significant trend in the weighted prevalence of CVH score categories between 2003 and 2022, overall and by sex.
This situational analysis of cross-sectional WHO STEPS surveys of CVH status region identified actionable factors of the CVH status across 22 countries in the WHO African Region. This information is crucial for guiding policy efforts in CVD prevention in countries of the WHO African Region.
世界卫生组织(WHO)非洲区域中心血管健康(CVH)的分布和决定因素仅限于单国研究。
估计WHO非洲区域(包括阿尔及利亚和撒哈拉以南非洲国家)CVH评分的分布和决定因素。次要目标是估计20年来CVH的时间趋势。
设计、背景和参与者:本研究构成了2003年至2022年对WHO非洲区域22个国家进行的重复全国性和次国家级横断面WHO STEPS(非传染性疾病风险因素监测逐步方法)调查。参与者包括18至69岁无已知心血管疾病(CVD)的非孕妇成年人。
个体因素(年龄、性别、教育水平和婚姻状况)以及来自联合国开发计划署和世界银行数据库的背景数据。
主要结局是“生命简单七项”评分类别(0 - 7、8 - 11和12 - 14分别表示CVH差、中等和理想)的加权患病率以及与CVH状况相关的因素。
研究人群包括73024名无CVD的个体(平均[标准差]年龄为35.4[12.9]岁;49505名女性[加权,49.4%]),代表22个国家和25次调查中的9500万人。理想、中等和差的CVH加权患病率分别为26.2%(95%CI,25.7% - 28.0%)、57.9%(95%CI,54.8% - 59.0%)和15.9%(95%CI,15.1% - 17.0%)。年龄较大、女性、教育程度较低和大量饮酒与达到中等或理想CVH评分的几率较低相关(女性与男性相比:中等CVH的优势比[OR]为0.77;95%CI,0.67 - 0.89;理想CVH的OR为0.80;95%CI,0.64 - 0.92;55 - 69岁与18 - 25岁相比:中等CVH的OR为0.14;95%CI,0.10 - 0.20;理想CVH的OR为0.06;95%CI,0.04 - 0.09;未接受教育与高等教育相比:理想CVH的OR为0.63;95%CI,0.43 - 0.92;大量暴饮与不饮酒相比:理想CVH的OR为0.51;95%CI,0.39 - 0.67)。国家层面的背景因素,特别是平均受教育年限较高(β = 0.24;95%CI,0.17 - 0.32)、高等教育百分比较高(β = 0.01;95%CI,0 - 0.02)和营养不良患病率较高(β = 3.14;95%CI,0.63 - 5.65)与较高的CVH评分相关。时空模型未显示2003年至2022年期间CVH评分类别加权患病率总体及按性别划分的任何统计学显著趋势。
这项对WHO STEPS CVH状况横断面调查的情况分析确定了WHO非洲区域22个国家CVH状况的可采取行动因素。这些信息对于指导WHO非洲区域各国预防CVD的政策努力至关重要。