Latent classes of health risk behaviors in medical students and depressive symptoms

YANG Yajuan; XU Honglyu; WANG Ying; XIE Yang; ZOU Liwei; LI Tingting; TAO Shuman; WU Xiaoyan

doi:10.16835/j.cnki.1000-9817.2021.04.024

Volume 42 Issue 4

Apr. 2021

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Article Navigation > CHINESE JOURNAL OF SCHOOL HEALTH > 2021 > 42(4): 583-586, 592

YANG Yajuan, XU Honglyu, WANG Ying, XIE Yang, ZOU Liwei, LI Tingting, TAO Shuman, WU Xiaoyan. Latent classes of health risk behaviors in medical students and depressive symptoms[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(4): 583-586, 592. doi: 10.16835/j.cnki.1000-9817.2021.04.024

Citation:

YANG Yajuan, XU Honglyu, WANG Ying, XIE Yang, ZOU Liwei, LI Tingting, TAO Shuman, WU Xiaoyan. Latent classes of health risk behaviors in medical students and depressive symptoms[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(4): 583-586, 592. doi: 10.16835/j.cnki.1000-9817.2021.04.024

Citation:

YANG Yajuan, XU Honglyu, WANG Ying, XIE Yang, ZOU Liwei, LI Tingting, TAO Shuman, WU Xiaoyan. Latent classes of health risk behaviors in medical students and depressive symptoms[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2021, 42(4): 583-586, 592. doi: 10.16835/j.cnki.1000-9817.2021.04.024

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Latent classes of health risk behaviors in medical students and depressive symptoms

doi: 10.16835/j.cnki.1000-9817.2021.04.024

1.
School of Nursing, Anhui Medical University, Hefei (230601), China

Received Date: 2020-10-08
Rev Recd Date: 2020-11-20
Publish Date: 2021-04-25

Abstract

Abstract

Objective To identify the latent classes of various health risk behaviors among medical students and further analyze the correlation between different classes and depression. Methods Using the method of convenient sampling, 2 014 medical students were selected from Anhui Medical University in October 2018. Self-designed online questionnaire were used to collect demographic data, health risk behavior (including smoking, drinking, suicide, sleep disorders, mobile phone dependence and lack of exercise) and depressive symptoms. Latent Class Analysis was used to cluster individuals. Logistic regression was provided to further analyze the association between health risk behaviors and depressive symptoms for the groups. Results The health hazard behaviors of medical students could be divided into three separate classes: substance dependence group (8.4%), mobile phone dependence group (22.4%) and low-risk group (69.2%). The distribution of health risk behaviors of medical students with different gender, major, grade, only child, father's educational level, monthly living expenses, academic achievement and number of friends were statistically significant (χ²=99.37, 19.07, 12.05, 6.64, 14.28, 19.35, 20.61, 26.39, P < 0.05). The results of Logistic regression analysis showed that after adjusting for gender, major, grade, only child, father's educational level, monthly living expenses, academic achievement and number of friends, the mobile phone dependence group was positively correlated with depressive symptoms (β=1.75, P < 0.01). Conclusion Different ratent classes of health risk behaviors have different correlation with depressive symptoms in groups.It is suggested that school health workers should make individualized intervention plan for different types of health hazard behavior of medical students in the future educational activities, carry out stratified intervention, alleviate the symptoms of depression and promote the mental health of medical students.
- Mental health,
- Dangerous behavior,
- Depression,
- Regression analysis,
- Students

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References(18)

References

[1]	季成叶. 青少年健康危险行为[J]. 中国学校卫生, 2007, 28(2): 289-291. http://www.cjsh.org.cn/article/id/zgxxws201301007 JI C Y. Adolescent health risk behavior[J]. Chin J Sch Health, 2007, 28(2): 289-291. http://www.cjsh.org.cn/article/id/zgxxws201301007
[2]	陶芳标. 青少年健康危害行为的研究[J]. 中国学校卫生, 2007, 28(7): 579-583. doi: 10.3969/j.issn.1000-9817.2007.07.002 TAO F B. The study of Adolescent health risk behavior[J]. Chin J Sch Health, 2007, 28(7): 579-583. doi: 10.3969/j.issn.1000-9817.2007.07.002
[3]	JESSOR R. Risk behavior in adolescence: a psychosocial framework for understanding and action[J]. J Adolesc Health, 1991, 12(8): 597-605. doi: 10.1016/1054-139X(91)90007-K
[4]	刘志浩, 廉启国, 卫平民, 等. 南京市大学生健康危险行为聚集模式分析[J]. 中国学校卫生, 2013, 34(10): 1193-1194, 1197. http://www.cjsh.org.cn/article/id/zgxxws201310015 LIU Z H, LIAN Q G, WEI P M, et al. Cluster analysis of health risk behaviors among college students in Nanjing[J]. Chin J Sch Health, 2013, 34(10): 1193-1194, 1197. http://www.cjsh.org.cn/article/id/zgxxws201310015
[5]	郭帅军, 余小鸣, 张芯, 等. 大学生吸烟、饮酒等健康危险行为的聚集现象分析[J]. 北京大学学报(医学版), 2013, 45(3): 382-386. doi: 10.3969/j.issn.1671-167X.2013.03.009 GUO S J, YU X M, ZHANG X, et al. Cluster analysis of smoking, alcohol drinking and other health risk behaviors in undergraduate students[J]. J Peking Univ(Health Sci), 2013, 45(3): 382-386. doi: 10.3969/j.issn.1671-167X.2013.03.009
[6]	张莉, 李晶华, 王竞, 等. 大学生健康危险行为的聚类分析[J]. 中国高等医学教育, 2018, 259(7): 37-38. doi: 10.3969/j.issn.1002-1701.2018.07.019 ZHANG L, LI J H, WANG J, et al. Cluster analysis on health risk behavior of college students[J]. Higher Med Educ Chin, 2018, 259(7): 37-38. doi: 10.3969/j.issn.1002-1701.2018.07.019
[7]	MOK J Y, CHOI S W, KIM D J, et al. Latent class analysis on internet and smartphone addiction in college students[J]. Neuropsych Dis Treat, 2014, 10: 817-828. DOI: 10.2147/NDT.S59293.
[8]	吉园依, 徐寰宇, 张宇, 等. 四川省农村留守儿童健康危险行为潜类别分析[J]. 中国公共卫生, 2017, 33(9): 1297-1301. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW201709002.htm JI Y Y, XU H Y, ZHANG Y, et al. Health risk behaviors among rural left behind children in Sichuan province[J]. Chin J Public Health, 2017, 33(9): 1297-1301. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW201709002.htm
[9]	周海茸, 洪忻, 王志勇, 等. 南京中学生健康危险行为与抑郁症状关系[J]. 中国公共卫生, 2015, 31(1): 49-52. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW201501017.htm ZHOU H R, HONG X, WANG Z Y, et al. Relationship between health risk behaviors and depression symptoms among high school students in Nanjing[J]. Chin J Public Health, 2015, 31(1): 49-52. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW201501017.htm
[10]	EATON D K, KANN L, KINCHEN S, et al. Youth risk behavior surveillance United States, 2011[J]. MMWR Surveill Summar, 2012, 61(4): 1-162. http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=82713873&site=ehost-live
[11]	陶舒曼, 付继玲, 王惠, 等. 青少年手机使用依赖自评问卷编制及其在大学生中的应用[J]. 中国学校卫生, 2013, 34(1): 26-29. http://www.cjsh.org.cn/article/id/zgxxws201301009 TAO S M, FU J L, WANG H, et al. Development of self-rating questionnaire for adolescent problematic mobile phone Use and the psychometric evaluation in undergraduates[J]. Chin J Sch Health, 2013, 34(1): 26-29. http://www.cjsh.org.cn/article/id/zgxxws201301009
[12]	BUYSSE D J, REYNOLDS C F, MONK T H, et al. The Pittsburgh Sleep Quality index: a new instrument for psychiatric practice and research[J]. Psychiat Res, 1989, 28(2): 193-213. doi: 10.1016/0165-1781(89)90047-4
[13]	屈宁宁, 李可基. 国际体力活动问卷中文版的信度和效度研究[J]. 中华流行病学杂志, 2004, 25(3): 265-268. doi: 10.3760/j.issn:0254-6450.2004.03.019 QU N N, LI K J. Study on the on the reliability and validity of International physical activity questionnaire(Chinese vision, IPAQ)[J]. Chin J Epidemiol, 2004, 25(3): 256-258. doi: 10.3760/j.issn:0254-6450.2004.03.019
[14]	RADLOFF L S. The use of the center for epidemiologic studies depression Scale in adolescents and young adults[J]. J Youth Adolescent, 1991, 20(2): 149-166. doi: 10.1007/BF01537606
[15]	COLLINS L M, LANZA S T. Latent class and latent transition analysis: with applications in the social, behavioral, and health sciences[M]. New York, NY: Wiley, 2013.
[16]	MUTHÉN L K, MUTHÉN C. Mplus: Statistical Analysis with Latent Variables (Version 4.21) Computer software[C]. International Conference on Transparent Optical Networks, 2007.
[17]	TAO S, WU X, ZHANG Y, et al. Effects of sleep quality on the association between problematic mobile phone use and mental health symptoms in chinese college students[J]. Intern J Environ Res Public Health, 2017, 14(2): 185. doi: 10.3390/ijerph14020185
[18]	PARK S Y, YANG S, SHIN C S, et al. Long-term symptoms of mobile phone use on mobile phone addiction and depression among Korean adolescents[J]. Int J Environ Res Public Health, 2019, 16(19): 3584-3594. doi: 10.3390/ijerph16193584