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

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

Research output: Contribution to journalArticlepeer-review

5 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 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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