Cultural adaptation of an evidence-based lifestyle intervention for diabetes prevention in Chinese women at risk for diabetes: results of a randomized trial

Int Health. 2018 Sep 1;10(5):391-400. doi: 10.1093/inthealth/ihx072.

Abstract

Background: The prevalence of both obesity and type 2 diabetes has been on the rise in China. This randomized controlled trial was conducted to test the feasibility and effectiveness of an evidence-based diabetes prevention program in Yuci, Shanxi Province, China from 2012 to 2014.

Methods: Women with pre-diabetes, ages 25-65 y, were assigned randomly to a comparison (n=75) or 6-mo lifestyle intervention condition (n=109). Weight, fasting glucose, hemoglobin A1c and self-reported diet and physical activity were measured at baseline, 6 mo and 12 mo.

Results: All measures except fasting glucose improved favorably in both comparison and intervention participants at the 6- and 12-mo follow-ups. Participants in the intervention group lost more weight (-0.91 kg, p<0.05) and had a lower body mass index (-0.39 kg/m2, p<0.05) than the comparison group at follow-up. A total of 31.6% (31/98) and 16.2% (11/68) of the participants in the intervention and comparison groups, respectively, achieved the weight loss goal of 5% at follow-up. There was no significant group difference in outcome measures at the 12-mo follow-up. Participants in the intervention group also showed favorable changes in self-reported diet and physical activity measures.

Conclusions: A lifestyle intervention to prevent diabetes in at-risk women in community health centers in China is feasible and acceptable but effect sizes were small.

Publication types

  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • China
  • Diabetes Mellitus, Type 2 / prevention & control*
  • Female
  • Humans
  • Life Style*
  • Middle Aged
  • Obesity / prevention & control*
  • Prediabetic State / prevention & control*
  • Self Report
  • Social Change
  • Social Support*
  • Women's Health / statistics & numerical data*