Relationship between anxiety, depression, sex, obesity, and internet addiction in Chinese adolescents: A short-term longitudinal study

Li, Guangming; Hou, Guiyun; Yang, Dong; Ji, Hu; Wang, Weijun

doi:10.1016/j.addbeh.2018.12.009

Cited by 144 publications

(132 citation statements)

References 42 publications

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“…Meanwhile, given there is large inequality in socioeconomic, policy and cultural environment between rural and urban areas in China, research examining the relationship between sociodemographic characteristics and adolescent depression in a specific social context of China is needed. Although some studies have investigated sociodemographic characteristics related to depression in Chinese adolescents [6][7][8][9], few researches have been conducted to systematically investigate the psychological health contrast of adolescents from urban and rural areas [10][11][12]. Urbanrural mental health disparities are expected to be even more pronounced in China, since they have important social values and have been well studied in developed countries [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Sociodemographic characteristics associated with adolescent depression in urban and rural areas of Hubei province: a cross-sectional analysis

Guo

Mei

You³

et al. 2019

BMC Psychiatry

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Background: China has experienced rapid socioeconomic, and health transitions over the last four decades, and urban-rural disparities are becoming increasingly apparent. Research on depression among rural and urban students can provide evidence on the relationship between sociodemographic characteristics and adolescent depression. Methods: We examined the association between sociodemographic characteristics and adolescent depression among 3605 students from Wuhan city and Jianli county that was recruited from the local junior middle school via a crosssectional study. Univariate and multivariate logistic regression models were used to explore the sociodemographic characteristics of adolescent depression in urban and rural areas, respectively. Nomograms were constructed to calculate individual depression risk of junior middle school students. Results: 32.47% of rural students and 35.11% of urban students display depressive symptoms. The protective factors of depression in urban students are exercise habit, younger, key class, better academic achievement and males, while Left-behind children (LBC), poor academic achievement and females had higher depression risk in rural area. Two nomograms were constructed to screen the adolescent depression in urban and rural junior middle school students, respectively. The clinical tools were well calibrated. Conclusion: The field-based research examined sociodemographic characteristics potentially associated with adolescent depression and offered an effective and convenient tool of individualized depression risk evaluation for junior middle school students. Future longitudinal epidemiologic research on adolescent depression may help to further validate the discovery of present study, which will support developing policies and practices to minimize the factors of adolescent depression.

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Section: Introductionmentioning

confidence: 99%

Sociodemographic characteristics associated with adolescent depression in urban and rural areas of Hubei province: a cross-sectional analysis

Guo

Mei

You³

et al. 2019

BMC Psychiatry

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“…Different researchers describe various psychological and psychopathological aspects of excessive Internet use, ia. its links with depression [2][3][4][5][6][7], anxiety [2,3,5,7], social-isolation [2], stress [3], burnout syndrome [4], or impulsiveness [8]. Addictive Internet use manifests itself in the form of greater amount of time devoted to online activity, undertaken especially for entertainment purposes, in particular through social media and chatting [3].…”

Section: Introductionmentioning

confidence: 99%

Problematic Internet Use and health behaviors in adolescent residents of urban and rural areas in Poland - a cross-sectional study

Kożybska¹,

Szpak²,

Kurpisz³

et al. 2019

Arch Psych Psych

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The aim of the study: This paper attempts to assess Internet addiction and health behaviors in Polish adolescent residents of urban and rural areas. Material and methods: 131 high school students, including 62 (47.3%) residents of rural and 69 (52.7%) residents of urban areas, completed the Polish adaptation of the Problematic Internet Use Test, the Health Behavior Inventory for children and adolescents, and a self-designed survey on the characteristics of Internet use. Results: 28.2% of respondents used the Internet for over 6 hours on school days, compared to 45.8% on noschool days. In total, high and very high risk of Internet addiction was recorded in 7.7% of respondents. Significantly higher PIU scores were reported in the residents of rural areas (p <0.05). Most respondents exhibited positive health behaviors. Higher index of general health behaviors correlated with a stronger declared willingness to reduce online activity in favor of spending time outside the house. Discussion: Creating more opportunities for teenagers to spend time outdoors/away from home can contribute to their reduced online activity, and thus reduce the risk of PIU. Conclusions: Young people devote much of their time to Internet use, which is associated with their lesser engagement in health behaviors.

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“…Therefore, emotional regulation strategies can directly affect IA; moreover, they indirectly impact maladaptive emotional regulation strategies associated with mental disorders that may negatively influence behavioral management. Furthermore, IA is highly related to depression, anxiety, ADHD, and substance use disorders (Jorgenson et al, 2016;Li, Hou, Yang, Jian, & Wang, 2019). Another finding of this study was the severity of medical students' dependence on the internet.…”

Section: Discussionmentioning

confidence: 54%

Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience

Ebrahimi

Ahmadi

Arani

et al. 2019

Pract. Clin. Psychol.

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The present study aimed to predict internet addiction based on general self-efficacy, difficulty in emotion regulation, and resilience in medical students. Methods: This was a cross-sectional study. The statistical population included all medical students of Shahid Beheshti University of Medical Sciences. The research sample consisted of 96 medical students selected by random sampling method in 2018. Data collection was performed by Sherer General Self-Efficacy Scale, Gramat's and Roemer's Difficulties in Emotion Regulation Scale, Connor-Davidson Resilience Scale, and Young's Internet Addiction test. Results: To analyze the obtained data, Pearson's correlation coefficient and the stepwise regression model were used. The obtained results suggested a significant relationship between internet addiction and general self-efficacy, difficulty in emotion regulation, and resiliency (P<0.05). Additionally, general self-efficacy, difficulty in emotion regulation, and resilience are able to predict 27% of internet addiction variance in medical students. Conclusion: To prevent and reduce the harm of internet addiction in students in stressful events, they should be trained to improve their resilience, self-efficacy, and emotion regulation skills.

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Relationship between anxiety, depression, sex, obesity, and internet addiction in Chinese adolescents: A short-term longitudinal study

Cited by 144 publications

References 42 publications

Sociodemographic characteristics associated with adolescent depression in urban and rural areas of Hubei province: a cross-sectional analysis

Sociodemographic characteristics associated with adolescent depression in urban and rural areas of Hubei province: a cross-sectional analysis

Problematic Internet Use and health behaviors in adolescent residents of urban and rural areas in Poland - a cross-sectional study

Predicting Internet Addiction in Medical Students by General Self-efficacy, Difficulty in Emotion Regulation, and Resilience

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