Self-rated chronic conditions and 2-week prevalence in adults in Zhongshan, China: an epidemiological survey

BMJ Open. 2015 Nov 11;5(11):e008441. doi: 10.1136/bmjopen-2015-008441.

Abstract

Objective: To examine the association between behavioural factors and the risk of chronic conditions and 2-week prevalence.

Design: This was a cross-sectional survey.

Setting: The study was conducted in Zhongshan, China.

Participants: A multistage clustering sampling method was used to select a representative sample of residents from the household registration system between July and September 2011. The overall sample replacement rate was 9.4%, and the final sample included 43 028 individuals.

Outcome measures: Chronic conditions and 2-week prevalence.

Results: 4979 (11.6%) of the participants reported having at least one chronic condition, 1067 (2.5%) had two or more concurrent chronic conditions, and 6830 (15.9%) reported having at least one disease in a 2-week recall period. The most common chronic condition was primary hypertension, which was reported by 6.8% of participants. Logistic regression models demonstrated that the main factors for having a chronic condition and 2-week prevalence were older age (≥65 years of age; OR 44.91, 95% CI 33.05 to 61.03; and OR 12.71, 95% CI 10.44 to 15.46, respectively), obesity (OR 3.00, 95% CI 2.63 to 3.42; and OR 2.50, 95% CI 2.22 to 2.82, respectively) and being a former smoker (OR 3.02, 95% CI 2.54 to 3.58; and OR 3.24, 95% CI 2.74 to 3.82, respectively).

Conclusions: This study suggests that older age, obesity and unhealthy behaviours are high-risk factors for poorer health status among the residents of Zhongshan, China. The present findings highlight the importance of recognising and managing harmful behaviours in order to improve health.

Keywords: Chronic condition; EPIDEMIOLOGY; PUBLIC HEALTH.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • China / epidemiology
  • Chronic Disease / epidemiology*
  • Cross-Sectional Studies
  • Essential Hypertension
  • Female
  • Humans
  • Hypertension / epidemiology*
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Obesity / epidemiology*
  • Risk Factors
  • Surveys and Questionnaires
  • Young Adult