Self-reported health and behavioral factors are associated with metabolic syndrome in Americans aged 40 and over

Ying Liu, Ifeoma D. Ozodiegwu, Jeffrey Nickel, Kesheng Wang, Laura Iwasaki

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

To determine whether behavioral factors differ among metabolic conditions and self-reported health, and to determine whether self-reported health is a valid predictor of metabolic syndrome (MetS). A total of 2997 individuals (≥ 40 years old) were selected from four biennial U.S. National Health and Nutrition Examination Surveys (2007–2014). A set of weighted logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs)Individuals with light physical activity are more likely to have MetS and report poor health than those with vigorous physical activity with OR = 3.22 (95% CI: 2.23, 4.66) and 4.52 (95% CI: 2.78, 7.33), respectively. Individuals eating poor diet have greater odds of developing MetS and reporting poor health with OR = 1.32 (95% CI: 1.05, 1.66) and 3.13 (95% CI: 2.46, 3.98). The aforementioned relationships remained significant after adjustment for demographic and socio-economic status. A potential intervention strategy will be needed to encourage individuals to aggressively improve their lifestyle to reduce MetS and improve quality of life. Despite the significant association between self-reported health with MetS, a low sensitivity indicated that better screening tools for MetS, diabetes and cardiovascular disease are essential.

Original languageEnglish (US)
Pages (from-to)193-197
Number of pages5
JournalPreventive Medicine Reports
Volume7
DOIs
StatePublished - Sep 1 2017
Externally publishedYes

Keywords

  • Diet
  • Physical inactivity
  • Weighted logistic regression

ASJC Scopus subject areas

  • Health Informatics
  • Public Health, Environmental and Occupational Health

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