Association between obesity and sickness in the past two weeks among middle-aged and elderly women: A cross-sectional study in Southern China

PLoS One. 2018 Aug 28;13(8):e0203034. doi: 10.1371/journal.pone.0203034. eCollection 2018.

Abstract

Objectives: Sickness situation in the past two weeks, an indicator of health service needs, is an increasing major health concern. However, data on the relationship between obesity and two-week morbidity in the female population, particularly in middle-aged and elderly women, is sparse. The present study aimed to examine the association between obesity and two-week morbidity among middle-aged and elderly women in Southern China, and to explore the independent contributions of socio-demographic variables, health-related factors, and obesity to two-week morbidity.

Methods: In total, 2364 middle-aged and elderly women were included in this cross-sectional, community-based survey. Obesity was assessed using body mass index (BMI). The outcome variable was sickness situation over the past two weeks (two-week morbidity). Clustered logistic regression was applied to analyze the independent contribution of obesity to two-week morbidity.

Results: Approximately 14.6% of participants experienced sickness in the past two weeks. Obesity (odds ratio [OR] = 1.47, 95% confidence interval [CI] = 1.02-2.12) was significantly associated with two-week morbidity and its independent contribution accounted for 3.7%, lower than that of socio-demographic variables (73.7%) and health-related factors(22.6%).

Conclusions: Some degree of correlation was observed between obesity and two-week morbidity among middle-aged and elderly women in Southern China, which can be used as a reference for health-related decision-making.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Body Mass Index
  • China / epidemiology
  • Cross-Sectional Studies
  • Female
  • Health Status*
  • Health Surveys
  • Humans
  • Middle Aged
  • Needs Assessment
  • Obesity / epidemiology*
  • Prevalence
  • Risk Factors
  • Thinness / epidemiology

Grants and funding

This work was supported by the Science and Technology Program of Guangzhou [201607010136] and the Guangzhou 121 Talents program to PXW.