Effectiveness evaluation of smoking control intervention based on social network theory among vocational college students

LUO Minhong; SUN Ai; DENG Yunqing; LI Huimin; HE Wenya; CHEN Jianwei

doi:10.16835/j.cnki.1000-9817.2025062

Volume 46 Issue 2

Feb. 2025

Turn off MathJax

Article Contents

Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2025 > 46(2): 196-199

LUO Minhong, SUN Ai, DENG Yunqing, LI Huimin, HE Wenya, CHEN Jianwei. Effectiveness evaluation of smoking control intervention based on social network theory among vocational college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(2): 196-199. doi: 10.16835/j.cnki.1000-9817.2025062

Citation:

LUO Minhong, SUN Ai, DENG Yunqing, LI Huimin, HE Wenya, CHEN Jianwei. Effectiveness evaluation of smoking control intervention based on social network theory among vocational college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(2): 196-199. doi: 10.16835/j.cnki.1000-9817.2025062

Citation:

LUO Minhong, SUN Ai, DENG Yunqing, LI Huimin, HE Wenya, CHEN Jianwei. Effectiveness evaluation of smoking control intervention based on social network theory among vocational college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2025, 46(2): 196-199. doi: 10.16835/j.cnki.1000-9817.2025062

PDF( 430 KB)

Effectiveness evaluation of smoking control intervention based on social network theory among vocational college students

doi: 10.16835/j.cnki.1000-9817.2025062

1.
Department of Health Guidance, Guangzhou Health Publicity and Education Center, Guangzhou(510630), Guangdong Province, China

Received Date: 2024-05-09
Rev Recd Date: 2024-12-20

Available Online: 2025-03-05

Publish Date: 2025-02-25

Abstract

Abstract

Objective To explore the effectiveness of smoking control intervention guided by social network theory at a vocational college in Guangzhou City, so as to provide a reference for school smoking control intervention. Methods From April to May 2023, a combination of convenience sampling and cluster random sampling method was adopted to select 781 students from different majors in 4 campuses of a certain vocational college. They were randomly divided into a control group (422 students before intervention, 399 students after intervention) and an intervention group (359 students before intervention, 329 students after intervention). Based on social network theory, a 6-month tobacco control intervention was carried out in the intervention group by strengthening the existing tobacco control network connections in schools, establishing new control smoking social networks, and enhancing the role of the new control smoking social networks by members of the project team. Both the control group and intervention group received smoking control intervention in the school environment. The difference was compared by t test andχ² test. Results After intervention, the knowledge score of the intervention group (8.9±4.8) was higher than that of the control group (7.6±5.0) and before intervention (7.0±5.0) (t=3.30, 4.91, P < 0.01). After intervention, the current smoking rate (4.0%) in the intervention group was lower than before intervention (8.1%, χ²=5.10), and the number of half or more smoking peers (11.2%) was lower than before intervention(16.7%) (χ²=4.24)(P < 0.05); and there was no statistically significant difference between the control group before and after intervention (χ²=1.49, 0.16, P>0.05). The proportion of holding a negative attitude to school smokers was higher than before intervention (χ²=12.34, P < 0.05), with the proportion of "strongly negative and suggest no smoke around oneself" increasing from 25.1% before intervention to 35.9% after intervention; and the proportion of student who kept a distance from smokers was higher than before intervention (χ²=18.21, P < 0.05), with the proportion of "maintaining a distance of 3 m" increasing from 30.4% before the intervention to 40.1% after the intervention. There was no statistically significant difference in the control group before and after intervention (χ²=3.89, 2.50, P>0.05). Conclusions The smoking control intervention at vocational colleges based on social network theory improve the correct tobacco knowledge, attitudes and practice of vocational college students, and reduce the smoking rates.
- Tobacco,
- Helath knowledge, attitudes, practice,
- Intervention studies,
- Students

FullText(HTML)

References(15)

References

[1]	陈子玥, 谭银亮, 石芳慧, 等. 上海市大学生电子烟和卷烟的使用现状及其影响因素[J]. 环境与职业医学, 2020, 37(8): 777-781. CHEN Z Y, TAN Y L, SHI F H, et al. Prevalence and influencing factors of e-cigarette and cigarette use among college students in Shanghai[J]. J Environ Occup Med, 2020, 37(8): 777-781. (in Chinese)
[2]	边玛顿珠, 索朗多布杰, 德庆, 等. 西藏山南市2023年高中生烟草使用现况及相关因素分析[J]. 中国学校卫生, 2024, 45(3): 358-361, 366. doi: 10.16835/j.cnki.1000-9817.2024078 BIAN M D Z, SUO L D B J, DE Q, et al. Tobacco use and associated factors among high school students in Shannan City, Tibet in 2023[J]. Chin J Sch Health, 2024, 45(3): 358-361, 366. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2024078
[3]	陈婧怡, 张蕴馨, 徐晓铭, 等. 2020—2021年南京市高校大学生烟草流行现状调查[J]. 东南大学学报(医学版), 2022, 41(6): 786-792. CHEN J Y, ZHANG Y X, XU X M, et al. Tobacco prevalence among college students in Nanjing from 2020 to 2021[J]. J Southeast Univ(Med Sci Edit), 2022, 41(6): 786-792. (in Chinese)
[4]	马文霞, 冯煜, 李良, 等. 2021年苏州市大学生吸烟现状及影响因素Logistic回归分析[J]. 中国预防医学杂志, 2023, 24(2): 143-149. MA W X, FENG Y, LI L, et al. Cigarette smoking status and its influence factors for college students in Suzhou, 2021[J]. Chin Prev Med, 2023, 24(2): 143-149. (in Chinese)
[5]	李嘉慧, 李娜, 徐刚, 等. 基于社会认知理论的中职学生控烟干预实践研究[J]. 中国学校卫生, 2020, 41(7): 994-997. doi: 10.16835/j.cnki.1000-9817.2020.07.010 LI J H, LI N, XU G, et al. Tobacco control intervention on vocational school students based on social cognitive theory[J]. Chin J Sch Health, 2020, 41(7): 994-997. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2020.07.010
[6]	傅华. 健康教育学[M]. 北京: 人民卫生出版社, 2017: 70-73. FU H. Health education[M]. Beijing: People's Medical Publishing House, 2017: 70-73. (in Chinese)
[7]	杨义, 邓华, 杨帆, 等. 应用社会网络分析法选择大学生性教育同伴教育者的研究[J]. 中华流行病学杂志, 2016, 37(12): 1587-1591. YANG Y, DENG H, YANG F, et al. Selection of peer educators for sex education program-base on data from social network analysis among college freshmen students[J]. Chin J Epidemiol, 2016, 37(12): 1587-1591. (in Chinese)
[8]	余凌炜. 基于社会资本理论的我国健康相关专业学生吸烟行为研究[D]. 杭州: 浙江大学, 2020. YU L W. The influences of social on smoking behavior among health professional students in China[D]. Hangzhou: Zhejiang University, 2020. (in Chinese)
[9]	李立明. 流行病学[M]. 北京: 人民卫生出版社, 2007: 105-106. LI L M. Epidemiology[M]. Beijing: People's Medical Publishing Ho-use, 2007: 105-106. (in Chinese)
[10]	梁晓峰. 2015中国成人烟草调查报告[M]. 北京: 人民卫生出版社, 2016: 31-50. LIANG X F. China adult tobacco survey report in 2015[M]. Beijing: People's Medical Publishing House, 2016: 31-50. (in Chinese)
[11]	白承续, 徐文婕, 花晨曦, 等. 北京市学校控烟干预效果评价[J]. 中国生育健康杂志, 2017, 28(5): 461-464. BAI C X, XU W J, HUA C X, et al. Evaluation of smoking control intervention in schools in Beijing[J]. Chin J Reprod Health, 2017, 28(5): 461-464. (in Chinese)
[12]	戴珞佳, 陆唯怡, 谭银亮, 等. 上海市职校生电子烟流行及影响因素分析[J]. 中国慢性病预防与控制, 2022, 30(7): 521-524. DAI L J, LU W Y, TAN Y L, et al. Analysis of the prevalence and influencing factors of electronic cigarettes among vocational school students in Shanghai[J]. Chin J Prev Contr Chron Dis, 2022, 30(7): 521-524. (in Chinese)
[13]	金嘉民, 代佳男, 易静. 基于多水平模型的重庆市青少年吸烟行为相关因素分析[J]. 中国学校卫生, 2023, 44(12): 1809-1813. doi: 10.16835/j.cnki.1000-9817.2023.12.011 JIN J M, DAI J N, YI J. Associated factors on smoking behavior among adolescents in Chongqing based on multi-level model[J]. Chin J Sch Health, 2023, 44(12): 1809-1813. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2023.12.011
[14]	VITÓRIA P, PEREIRA S E, MUINOS G, et al. Parents modelling, peer influence and peer selection impact on adolescent smoking behavior: a longitudinal study in two age cohorts[J]. Addict Behav, 2020, 100: 106-131.
[15]	戴珞佳, 谭银亮, 朱静芬. 社会网络及其在新媒体环境下对青少年吸烟行为的影响研究[J]. 现代预防医学, 2021, 48(2): 288-291. DAI L J, TAN Y L, ZHU J F. Effect of social network on smoking behavior of adolescents and its development in the new media era[J]. Mod Prev Med, 2021, 48(2): 288-291. (in Chinese)