Factors associated with non-treatment of hypertension and gender differences at baseline in the ELSA-Brasil cohort
BRAZILIAN JOURNAL OF MEDICAL AND BIOLOGICAL RESEARCH(2024)
Abstract
The treatment of arterial hypertension (AH) contributes to the reduction of morbidity and mortality. Gender differences are likely to play a role, as non-treatment is associated with clinical and sociodemographic aspects. The aim of this study was to investigate the factors associated with non-treatment of AH and gender differences in hypertensive individuals from the ELSA-Brasil cohort. The study was conducted with 5,743 baseline hypertensive cohort participants. AH was considered if there was a previous diagnosis or if systolic blood pressure (SBP) was >= 140 and/or diastolic BP (DBP) was >= 90 mmHg. Sociodemographic and anthropometric data, lifestyle, comorbidities, and use of antihypertensive medications were evaluated through interviews and in-person measurements. Treatment with renin-angiotensin-aldosterone system inhibitors (RAASi) or other antihypertensive medications and non-treatment were evaluated with multivariate logistic regression. Non-treatment was observed in 32.8% of hypertensive individuals. Of the 67.7% treated individuals, 41.1% received RAASi. Non-treatment was associated with alcohol consumption in women (OR=1.41; 95%CI: 1.15-1.73; P=0.001), lowest schooling level in men (OR=1.70; 95%CI: 1.32-2.19; P<0.001), and younger age groups in men and women (strongest association in males aged 35-44 years: OR=4.58, 95%CI: 3.17-6.6, P<0.001). Among those using RAASi, a higher proportion of white, older individuals, and with more comorbidities was observed. The high percentage of non-treatment, even in this civil servant population, indicated the need to improve the treatment cascade for AH. Public health policies should consider giving special attention to gender roles in groups at higher risk of non-treatment to reduce inequities related to AH in Brazil.
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Key words
Hypertension,Treatment,Medication therapy management,Gender analysis in health,Gender equity
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