Open AccessInfluence of sodium intake and sociodemographic, lifestyle and anthropometric variables on blood cholesterol of hypertensive women
Author(s) -
Bruna Merten Padilha,
Sandra Mary Lima Vasconcelos,
Poliana Coelho Cabral,
Thiago Marques Wanderley,
Amanda da Silva Gomes,
Joice Alves Gaia,
Letícia Andrade Rodrigues
Publication year - 2021
Publication title -
medicina
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.104
H-Index - 10
eISSN - 2176-7262
pISSN - 0076-6046
DOI - 10.11606/issn.2176-7262.rmrp.2021.170618
Subject(s) - medicine , waist , anthropometry , bioelectrical impedance analysis , body mass index , blood pressure , cholesterol , linear regression , endocrinology , regression analysis , sodium , physiology , chemistry , organic chemistry , machine learning , computer science
The restriction of sodium intake, one of the pillars of antihypertensive treatment, has been associated with the increase in cholesterol levels. Given this, we hypothesize that a sodium intake restriction may increase cholesterol levels in hypertensive women. The present study aimed to evaluate the influence of sodium intake, sociodemographic, lifestyle and anthropometric variables on the blood cholesterol levels of hypertensive women. This was a cross-sectional study with hypertensive and nondiabetic women aged 20 to 59 years, recruited from the primary healthcare units of Maceio, Alagoas, in the Brazilian Northeast. Sodium intake was estimated by the 24-hour urinary excretion of sodium; and blood cholesterol was estimated by capillary blood. Age (years), education level (<4 or ≥4 years), race (white or nonwhite), smoking and alcohol consumption were evaluated. The weight, height and waist circumference were measured and body mass index, conicity index and waist-to-height ratio were quantified. The percentage of body fat was measured using a tetrapolar bioelectrical impedance device. The relationship between blood cholesterol and other variables was assessed by multiple regression analysis. A significance level of 5% was used in the final model. This study included 165 hypertensive women. In linear regression, blood cholesterol wasdirectly proportional to age (p<0.001), education level (p=0.01) and race (p=0.04). These variables, as well assodium intake (p = 0.07) and conicity index (p = 0.12), were included in the multiple regression analysis. Sodium intake (p=0.03) and age (p=0.001) were related, in an inverse and a direct way, respectively, to the blood cholesterol in the hypertensive women studied.