Temporal trends of cardiovascular health factors among 366 270 French adults

Bamba Gaye; Gabriel S Tajeu; Lucile Offredo; Maxime Vignac; Stacey Johnson; Frédérique Thomas; Xavier Jouven

doi:10.1093/ehjqcco/qcz038

Temporal trends of cardiovascular health factors among 366 270 French adults

Eur Heart J Qual Care Clin Outcomes. 2020 Apr 1;6(2):138-146. doi: 10.1093/ehjqcco/qcz038.

Authors

Bamba Gaye^{1

2}, Gabriel S Tajeu³, Lucile Offredo^{1

2}, Maxime Vignac^{1

2}, Stacey Johnson⁴, Frédérique Thomas⁵, Xavier Jouven^{1

2

6}

Affiliations

¹ Department of Epidemiology, INSERM U970, Paris Cardiovascular Research Center, 56 rue Leblanc, 75015 Paris, France.
² Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, 15 Rue de l'École de Médecine, 75006 Paris, France.
³ Department of Health Services Administration and Policy, Temple University, 1801 N Broad St, Philadelphia, PA 19122, USA.
⁴ Institut de Recherche bio-Médicale et d'Épidémiologie du Sport (IRMES), EA 7329, Institut National du Sport, de l'Expertise et de la Performance (INSEP), 11, av. du Tremblay, 75012 Paris, France.
⁵ Preventive and Clinical Investigation Center, 6 rue La Pérouse, 75116 Paris, France.
⁶ Department of Cardiology, AP-HP, Georges Pompidou European Hospital, 20 rue Leblanc, 75015, Paris, France.

Abstract

Aims: We aimed to investigate time trends in cardiovascular health (CVH) metrics in the population at large, as well as in important subgroups.

Methods and results: In this study, we used a community-based sample of 366 270 adults from France who had a standardized examination to assess cardiovascular risk factors between 1992 and 2011 (20 years). Cardiovascular health metrics categorized into ideal, intermediate, and poor categories were computed using smoking, physical activity, body mass index, total cholesterol, blood glucose, and blood pressure. Matching on age, sex, and depression across 5-year periods (1992-96, 1997-2001, 2002-06, and 2007-11) was performed in order to correct for the sociodemographic differences between the examinations at different periods of times. Mean age across all four time periods was 44.7 (SD 13) years and 38% (138 228) were women. Overall, few participants (≤3.5%) met all six ideal CVH metrics at any time point. The prevalence of meeting ≥5 ideal CVH metrics increased from 6.7% in 1992-96 to 15.0% in 2007-11 (P < 0.001). A significant improvement in CVH (meeting ≥5 ideal CVH metrics) from 1992 to 2011 was observed among younger (from 7.5% to 16.6%) and older individuals (from 1.3% to 4.2%), men (from 4.4% to 11.8%) and women (from 10.4% to 20.1%), those with low (from 9.1% to 10.4%) and high education status (from 15% to 18.1%) and those with (from 5.1% to 12.7%) and without depressive symptoms (from 6.8% to 15.1%). However, the rate of improvement was steepest in the most affluent group in comparison with those with lower socio-economic status.

Conclusion: Overall CVH improved from 1992 until 2006 and slightly decreased between 2006 and 2011 in French adults. From 1992 until 2006, the improvement in CVH was less pronounced among those with low socio-economic status as compared to those with a higher socio-economic status.

Keywords: Population Attributable Risk for Mortality; Prevention; Risk factors; Socio-economic status.

Publication types

Multicenter Study

MeSH terms

Age Factors
Cardiovascular Diseases / epidemiology*
Cross-Sectional Studies
Female
Follow-Up Studies
France / epidemiology
Health Status*
Humans
Male
Middle Aged
Prevalence
Prognosis
Retrospective Studies
Risk Assessment / methods*
Sex Factors
Time Factors

Grants and funding

R01 DK108628/DK/NIDDK NIH HHS/United States