Abdominal obesity and association with sociodemographic, behavioral and clinical data in climacteric women assisted in primary care.
Wiviane da Costa PimentaJosiane Santos Brant RochaAntônio Prates CaldeiraDaniela Araújo Veloso PopoffViviane Maia SantosJoyce Elen Murça de SouzaMaria Suzana MarquesFernanda Piana Santos Lima de OliveiraDaniela Marcia Rodrigues CaldeiraGeraldo Edson Souza Guerra JúniorRonilson Ferreira FreitasYaroslav Wladmir Lopes PopoffGustavo Veloso RabeloMirna Rossi Barbosa-MedeirosLuiza Augusta Rosa Rossi-BarbosaPublished in: PloS one (2020)
This study aims to investigate the prevalence and factors associated with abdominal obesity in climacteric women assisted at Family Health Strategy units of the city of Montes Claros, State of Minas Gerais, Brazil. It is a cross-sectional analytical study. The women were selected by probabilistic sampling from August 2014 to August 2015. A questionnaire containing information referring to sociodemographic and economic characteristics, behavioral characteristics and clinical data was used. To estimate abdominal obesity, the measure of circumference ≥ 88 cm was considered. To analyze the association between abdominal obesity and the independent variables, a bivariate analysis was performed by means of Pearson's chi-square test (p≤0.25). Subsequently, a multiple Poisson regression analysis with robust variance was performed, through which prevalence ratios with level of significance of 5% (p<0.05) were obtained. A total of 805 women were evaluated, aged 40 to 65 years, and the prevalence of women with abdominal obesity was 62.4%. The mean and median of abdominal circumference were 93.0 cm. The associated variables were being sedentary (PR = 1.44) or irregularly active (PR = 1.39), presenting altered total cholesterol (PR = 1.21), and being hypertensive (PR = 1.31). The abdominal obesity in climacteric women was associated with physical inactivity, total cholesterol and arterial hypertension. The measurement of abdominal circumference must be valued and adopted in the routine of professionals who work in Primary Care.
Keyphrases
- insulin resistance
- polycystic ovary syndrome
- metabolic syndrome
- weight loss
- primary care
- high fat diet induced
- type diabetes
- weight gain
- body mass index
- risk factors
- pregnancy outcomes
- physical activity
- mental health
- healthcare
- cervical cancer screening
- blood pressure
- adipose tissue
- electronic health record
- pregnant women
- cross sectional
- big data
- artificial intelligence
- clinical practice
- liquid chromatography
- data analysis
- neural network