S China J Prev Med ›› 2018, Vol. 44 ›› Issue (3): 216-220.doi: 10.13217/j.scjpm.2018.0216

• Original Article • Previous Articles     Next Articles

Clustering of chronic disease risk factors and influencing factors among residents in Guangdong Province

SONG Xiu-ling, XIAO Ni, XU Xiao-jun, XIA Liang ,XU Yan-jun,WANG Ye, ZHOU Shao-en, ZHENG Xue-yan   

  1. Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
  • Received:2018-01-15 Revised:2018-01-15 Online:2018-07-03 Published:2018-07-20

Abstract: ObjectiveTo investigate the prevalence, clustering and influencing factors of smoking, excessive alcohol intake, insufficient intake of vegetables and fruits, physical inactivity in spare time, and overweight/obesity and influencing factors among residents aged 18 years and above in Guangdong Province in 2013. MethodsBased on data of chronic disease risk factor survey in 14 counties/districts of 12 prefectural cities in Guangdong Province in 2013, residents aged 18 years and above were selected by multi-stage stratified cluster random sampling method to participate in the investigation. The content included basic information and five risk factors of smoking, excessive alcohol intake, insufficient intake of vegetables and fruits, physical inactivity, and overweight/obesity.ResultsA total of 8 354 people were included in the study. Of all the participants, 42.8%(3 574)were male,57.2%(4 780)female,and 31.6%(2 643)aged 60 years and above. Among the subjects surveyed, 25.1%(1 922/7 669)presented one risk factor, 42.1%(3 225/7 669)two, and 28.0%(2 145/7 669)presented three or more risk factors. The risk factors were positively correlated with age (P<0.05) and negatively correlated with educational level (P<0.05). Those who were male, widowed/divorced/separated, engaged in agriculture, forestry, fishery and water conservancy production were more likely to have more risk factors (all P<0.01). ConclusionThe five risk factors were prevalent among residents aged 18 years and above in Guangdong Province, with clustering of multiple risk factors. Therefore, comprehensive intervention of unhealthy behavior lifestyle should be strengthened.

CLC Number: 

  • R195