Biopsychosocial Contributors to Metabolic Syndrome: A Secondary Analysis of 2007-2010 National Health and Nutrition Examination Survey Data.
BACKGROUND
Metabolic syndrome (MetS) is a medical disorder that encompasses obesity, hypertension, dyslipidemia, and insulin resistance and increases the risk of type 2 diabetes, cardiovascular disease, and mortality.


OBJECTIVE
A secondary data analysis was conducted using the National Health and Nutrition Examination Survey 2007-2010 data to evaluate the association of biopsychosocial factors with MetS among U.S. adults.


METHODS
Complex samples logistic regression models were used to estimate a parsimonious model, including contributions of biomedical, biosocial, and psychosocial factors to MetS.


RESULTS
According to the study's representative sample, more than 47 million Americans had MetS. Using the biopsychosocial model, the effects of biosocial and psychosocial variables, including education, smoking, low exercise, and depression, were independent predictors of MetS after controlling for the contributions of age, gender, and race.


CONCLUSIONS
There is a need for large-scale, longitudinal, and interventional studies to evaluate and alter these potential risk factors, thus reducing MetS.
Jennifer Saylor, PhD, RN, APRN-BC, is Assistant Professor, School of Nursing, University of Delaware, Newark. Erika Friedmann, PhD, is Professor, University of Maryland School of Nursing, Baltimore.
Jennifer
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Erika
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D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D003430:Cross-Sectional Studies; D005006:Ethnicity / Q000706:statistics & numerical data; D005260:Female; D015438:Health Behavior; D006801:Humans; D016015:Logistic Models; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology* / Q000523:psychology*; D008875:Middle Aged; D009749:Nutrition Surveys; D012737:Sex Factors; D012959:Socioeconomic Factors; D014481:United States / Q000453:epidemiology; D055815:Young Adult