Metabolic syndrome (MetS) and associated factors in middle-aged women: a cross-sectional study in Northeast Brazil.
Mayle Moreira de AndradeAfshin VafaeiSaionara Maria Aires da CâmaraRafaela Andrade do NascimentoMaria do Socorro Medeiros de MoraisMaria das Graças AlmeidaÁlvaro Campos Cavalcanti MacielPublished in: Women & health (2019)
We determined the prevalence of Metabolic Syndrome (MetS) and associated factors in 419 women (aged 40 to 65 years) in Northeast Brazil in a cross-sectional study conducted from April to November 2013. We defined MetS using the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria. Socio-demographic variables, reproductive factors, lifestyle factors, anthropometrics, body composition, quality of life, and physical performance were assessed for their associations. We constructed multivariate Poisson regression models to estimate prevalence rate ratios (PRR) and 95% confidence intervals (CI). We identified 275 (65.6%) cases of MetS. The three most prevalent indicators were obesity (73.5%), reduced high-density lipoprotein level (63.0%), and elevated blood pressure (60.9%). In the final adjusted model, black race (PR 1.30, 95% CI: 1.07-1.57), lower grip strength/body mass index (PR 1.31, 95% CI: 1.15-1.50), and low estradiol levels (PR 1.17, 95% CI: 1.00-1.35) were associated with MetS. MetS is a long-term threat to the health of middle-aged women and a potential public health burden. These results may help in developing health promotion strategies to prevent morbidity and mortality associated with MetS in this vulnerable population.
Keyphrases
- metabolic syndrome
- body composition
- public health
- middle aged
- polycystic ovary syndrome
- physical activity
- insulin resistance
- health promotion
- risk factors
- high density
- body mass index
- blood pressure
- quality improvement
- healthcare
- pregnancy outcomes
- mental health
- uric acid
- type diabetes
- weight loss
- cervical cancer screening
- heart rate
- bone mineral density
- low density lipoprotein
- breast cancer risk
- social media
- health information
- global health
- high fat diet induced
- skeletal muscle
- risk assessment
- human health
- glycemic control
- data analysis