Literature DB >> 23774914

[Cluster analysis of smoking, alcohol drinking and other health risk behaviors in undergraduate students].

Shuai-jun Guo1, Xiao-ming Yu, Xin Zhang, Wei-wei An, Li-na Guo, Jia Wang.   

Abstract

OBJECTIVE: To investigate the status of smoking and alcohol drinking behaviors in undergraduate students, and explore the relationship between smoking and alcohol drinking and other health risk behaviors.
METHODS: A total of 7 979 students from 44 universities or colleges across China were sampled with multiple-stage stratified sampling method. A cross-sectional investigation on smoking, alcohol drinking and other health risk behaviors was conducted, and SPSS 13.0 was used to statistically analyze the data.
RESULTS: The prevalence of current smoking and alcohol drinking behaviors was 19.6% and 42.2%, respectively. There was significant difference in different genders (male 34.1% vs. female 6.1%), geographical regions (East China 15.7% vs. Mid-China 19.0% vs. West China 29.8%), types of university (key university 17.9% vs. vocational college 21.2%) and majors (arts 15.4% vs. science and engineering 21.5%) in undergraduate students who currently smoked (P<0.01). And there was significant difference in different genders (male 58.6% vs. female 26.9%), geographical regions (East China 37.9% vs. Mid-China 42.8% vs. West China 50.8%) and majors (arts 36.4% vs. science and engineering 46.1%) in undergraduate students who currently drank (P<0.01). The incidence of health risk behaviors, such as unhealthy eating behaviors, substance abuse, bad personal health habits, intentional and unintentional injuries, in the smoking and alcohol drinking students was higher than that of the control group.
CONCLUSION: The smoking and alcohol drinking status was not optimistic in undergraduate students in China, which is highly related to other health risk behaviors. Comprehensive prevention and intervention programs should be developed according to different demographic distributions.

Entities:  

Mesh:

Year:  2013        PMID: 23774914

Source DB:  PubMed          Journal:  Beijing Da Xue Xue Bao Yi Xue Ban        ISSN: 1671-167X


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