Key result
Hypertension prevalence varied by almost two-fold among French regions (37.3% in men, 23.2% in women), with BMI and socioeconomic factors explaining 30-40% of the between-centre variations.
Why the study?
While international variations in hypertension prevalence are well described, less is known about intra-national disparities and their determinants.
Cross-Sectional (n=62,247)
Yes
Hypertension prevalence varies by nearly two-fold across French regions, with lifestyle and socioeconomic factors explaining 30-40% of this geographic variation.
Regional hypertension disparities may inform targeted prevention; cross-sectional data leaves open causal roles of BMI and socioeconomic factors.
Aims While international variations in the prevalence of hypertension are well described, less is known about intra-national disparities and their determinants. We wanted to describe the variations in hypertension prevalence within France and to determine how much lifestyle and socioeconomic factors contributed to explain these regional variations. Methods Participants (62,247 French adults aged 18 to 69 years) were recruited in the 16 centres of the CONSTANCES study between 2012 and 2015. Hypertension was defined as blood pressure higher than 140/90 mmHg and/or taking antihypertensive medications. The contribution of lifestyle and socioeconomic factors to hypertension prevalence variations among centres was examined using sequential hierarchical logistic models. Results Hypertension prevalence was 37.3% (95% confidence interval (CI) = 36.6–38.0) in men and 23.2% (95% CI = 22.7–23.8) in women. Hypertension prevalence rates varied by almost two-fold among centres (1.9 in men, 1.6 in women) with the highest prevalence in the north and the east of France. Body mass index was strongly associated with hypertension in women (odds ratio (OR) 1-unit increase = 1.11 (95% CI = 1.11–1.12)) and was the highest contributor to between-centre variations (27% in women), followed by socioeconomic characteristics (e.g. OR high versus low education = 0.85 (95% CI = 0.83–0.87), contributing to 14% of variations in women). Together, family history of hypertension, body mass index, education, occupation and residential area socioeconomic level explained about 30% and 40% of between-centre variations in men and women, respectively. Conclusion Hypertension prevalence greatly varies among French regions and this is partly explained by known lifestyle and socioeconomic factors. Nevertheless, these variations and all the hypertension determinants have not been fully deciphered yet.
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Neufcourt et al. (2019) conducted a cross-sectional in Hypertension (n=62,247). Lifestyle and socioeconomic factors was evaluated on Hypertension prevalence and regional variations. Hypertension prevalence varied by almost two-fold among French regions (37.3% in men, 23.2% in women), with BMI and socioeconomic factors explaining 30-40% of the between-centre variations.
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