Metrics of ideal cardiovascular health are unequally distributed between peruvian men and women: Analysis of a national population-based survey in 2017

Akram Hernández‑ Vásquez, Horacio Chacón‑Torrico, Rodrigo Vargas‑ Fernández, Guido Bendezu‑ Quispe, Marilina Santero

Abstract


Background: To determine socioeconomic inequalities in cardiovascular health (CVH) metrics among Peruvian adults as well as differences according to sex.

Methods: An observational, cross‑sectional study was conducted in 26,175 individuals aged 18–65 years using the 2017 Peruvian Demographic and Health Survey. According to the American Heart Association, 5 CVH metrics which comprised three ideal health behaviors (diet, non smoking, ideal body mass index [BMI]), and two ideal health factors (ideal blood pressure and no history of diabetes) were evaluated. The concentration curves (CC) methodology was used to analyze whether CVH metrics vary between socioeconomic status and sex. The concentration index (CI) was used to quantify socioeconomic‑related inequality in health variables.

Results: Overall, the mean age was 36.5 years (SD = 11.9) and 51.2% were women. Only 2.4% had 5 ideal CVH metrics (women 3.7%, men 1.0%) with a CI very close to the equality line (0.0135). (0.0135; higher in women [0.0262], compared to men [0,0002]). A greater prevalence of ideal CHV metrics (3 or more) was found in women (P < 0.001). Ideal health factors were more prevalent (52.1%) than ideal health behaviors (13.8%). Regarding inequality measures, CCs for most CVH metrics had a higher concentration in the lowest wealth population, except for ideal diet, which was more frequent among higher levels of wealth. An ideal BMI was the CVH metric with the lowest CI (overall: −0.0817; men: −0.2699).

Conclusions: Peruvian women presented a higher prevalence of ideal CVH metrics and fewer inequalities. Ideal CVH metrics tend to be concentrated in the wealthiest women. Low‑ and middle‑income countries should consider socioeconomic inequalities in cardiovascular disease prevention programs.


Keywords


Cardiovascular health, health surveys, inequalities, Latin America, Peru, Sex

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