Risk of coronary heart disease in the rural population in Xinjiang: A nested case-control study in China

PLoS One. 2020 Mar 4;15(3):e0229598. doi: 10.1371/journal.pone.0229598. eCollection 2020.

Abstract

Background and aim: Coronary heart disease (CHD) is a chronic complex disease caused by a combination of factors such as lifestyle behaviors and environmental and genetic factors. We conducted this study to evaluate the risk factors affecting the development of CHD in Xinjiang, and to obtain valuable information for formulating appropriate local public health policies.

Method: We conducted a nested case-control study with 277 confirmed CHD cases and 554 matched controls. The association of the risk factors with the risk of CHD was assessed using the multivariate Cox proportional hazard model. Multiplicative interactions were evaluated by entering interaction terms in the Cox proportional hazard model. The additive interactions among the risk factors were assessed by the index of additive interaction.

Results: The risk of CHD increased with frequent high-fat food consumption, dyslipidemia, obesity, and family history of CHD after adjustment for drinking, smoking status, hypertension, diabetes, family history of hypertension, and family history of diabetes. We noted consistent interactions between family history of CHD and frequent high-fat food consumption, family history of CHD and obesity, frequent high-fat food consumption and obesity, frequent high-fat food consumption and dyslipidemia, and obesity and dyslipidemia. The risk of CHD events increased with the presence of the aforementioned interactions.

Conclusions: Frequent high-fat food consumption, family history of CHD, dyslipidemia and obesity were independent risk factors for CHD, and their interactions are important for public health interventions in patients with CHD in Xinjiang.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Case-Control Studies
  • China / epidemiology
  • Coronary Disease / epidemiology*
  • Coronary Disease / etiology
  • Diet, High-Fat / adverse effects
  • Dyslipidemias / complications
  • Female
  • Humans
  • Male
  • Medical History Taking
  • Middle Aged
  • Multivariate Analysis
  • Obesity / complications
  • Proportional Hazards Models
  • Risk Factors
  • Rural Population

Grants and funding

This study is supported by National Natural Science Foundation of China (No. 81560551).Shuxia Guo received this award.