Dataset Information

Excessive use of WeChat, social interaction and locus of control among college students in China.

ABSTRACT: In China, the number of college students using mobile phone based messaging and social networking applications like WeChat is increasing rapidly. However, there has been minimal research into the addictive nature of these applications and the psychological characteristics associate with their excessive use. There is also no published scale available for assessing excessive use of WeChat and similar applications. In the current study, we collected data from 1,245 college students in China (715 females) and developed the WeChat Excessive Use Scale (WEUS). We then assessed the relationship between excessive use of WeChat and excessive use of a social networking application-Weibo, problematic use of mobile phones, external locus of control, and social interaction skills. Our 10-item scale featured three factors, namely- "mood modification," "salience" and ''conflict"- critical factors in assessing different forms of addiction. The WEUS was found to be a reliable instrument in assessing excessive use of WeChat as it showed good internal consistency and correlated with other measures of problematic use social networking and mobile phone addiction. Our results showed that excessive users of WeChat are more likely to excessively use Weibo than they are to problematically use mobile phones. Our study also showed that greater excessive use of WeChat is associated with higher external locus of control and greater online social interaction skills. These results reveal that WeChat has unique and strong appeal among college students in China. Further, practitioners should consider dealing with malleable factors like locus of control and real life social skills in treating people with problematic messaging and social networking.

SUBMITTER: Hou J

PROVIDER: S-EPMC5560757 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Excessive use of WeChat, social interaction and locus of control among college students in China.

Hou Juan J Ndasauka Yamikani Y Jiang Yingying Y Ye Zi Z Wang Ying Y Yang Lizhuang L Li Xiaoming X Zhang Yongjun Y Pang Liangjun L Kong Yan Y Xu Fei F Zhang Xiaochu X

PloS one 20170817 8

In China, the number of college students using mobile phone based messaging and social networking applications like WeChat is increasing rapidly. However, there has been minimal research into the addictive nature of these applications and the psychological characteristics associate with their excessive use. There is also no published scale available for assessing excessive use of WeChat and similar applications. In the current study, we collected data from 1,245 college students in China (715 fe ...[more]

PMID: 28817710

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Project description:AimsProblematic social media use is increasing in China and could be a risk factor for depression. We investigated cross-sectional associations between problematic social media use and depressive outcomes among Chinese college students with potential mediation by perceived social support, social media violence, and loneliness. Thereafter, we evaluated the effectiveness of a one-month group counseling intervention in reducing depressive symptoms related to social media addiction.MethodsDepressive symptoms, social media addiction, perceived social support, social media violence, and loneliness were self-reported among 21,000 college students in Shaanxi province, China. A randomized controlled trial was designed based on the results of the observational study and Satir Transformational Systemic Therapy (STST) among 60 college students assigned to intervention (N = 30) or control/no treatment (N = 30). Self-administered surveys were completed at baseline (T1), at the end of the 1-month intervention (T2), and at 2-month follow-up post-intervention (T3).ResultsAfter controlling for relevant covariates, more problematic social media use was associated with more depressive symptoms (β = 0.18, p < 0.001) and depression (OR = 1.08, 95% CI: 1.075, 1.092). Multiple mediation analyses found that perceived social support, social media violence, and loneliness significantly mediated associations between problematic social media use and depressive symptoms (model fit: RMSEA = 0.065, GFI = 0.984, CFI = 0.982). Bootstrapping revealed significant indirect effects of problematic social media use on depressive symptoms through the mediators named above (0.143, 95% CI: 0.133, 0.156). The subsequently informed intervention significantly reduced depressive symptoms at T2 (mean difference: -12.70, 95% CI: -16.64, -8.76, p < 0.001) and at T3 (mean difference: -8.70, 95% CI: -12.60, -4.80, p < 0.001), as well as levels of social media addiction, perceived social support, social media violence, and loneliness.ConclusionsProblematic social media use is a risk factor for depressive outcomes among Chinese college students, and perceived social support, social media violence, and loneliness mediate this association. STST-based group counseling may reduce depressive symptoms related to high social media usage in this population.

Project description:BackgroundBinge drinking (BD) refers to a pattern of alcohol consumption characterized by the consumption of large amounts of alcohol in a short period of time followed by periods of abstinence. This drinking pattern is prevalent worldwide, mainly among young people. Excessive alcohol consumption is the spectrum of consumption patterns that may have or have had health consequences, and includes the concepts of risky alcohol use, harmful alcohol use and alcohol dependence according to Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV), the latter two are currently grouped into alcohol use disorder (AUD) according to the fifth edition of the DSM (DSM-5). Due to the high prevalence of BD among young people, especially university students, as well as the important consequences of its practice, a study was conducted to evaluate excessive alcohol consumption and its relationship with the practice of BD in university students.MethodsA cross-sectional study was conducted among students (aged 18-30 years) enrolled in the academic year 2018-2019 at the Faculty of Nursing at a university in northern Spain. Data collection included sociodemographic information, and alcohol use information, collected using a semi-structured questionnaire. To measure the excessive alcohol consumption, this study used the Alcohol Use Disorders Identification Test (AUDIT).ResultsA total of 142 participants were included, of which 88.03% were women. Up to 38.03% were classified as BD. Up to 14.77% of non-BD participants and 66.67% of BD participants were classified as risky drinkers (AUDIT Total geq 8 in men or geq 6 in women) (p < 0.001). Up to 3.41% of the non-BD and 24.07% of the BD were drinkers with harmful alcohol use and probable alcohol dependence (AUDIT Total geq 13) (p < 0.001). A total of 5.68% of non-BD and 42.59% of BD were AUD drinkers (AUDIT Total geq 9 in males or geq 8 in females) (p < 0.001). In addition, statistically significant differences were found between the BD and non-BD groups in the responses to each of the AUDIT items, as well as in the total score and also in the scores of the three domains of the questionnaire.ConclusionsExcessive alcohol consumption is frequent among university students, especially among those who practice BD.

Project description:BackgroundWalking is a simple but beneficial form of physical activity (PA). Self-monitoring and providing information about social norms are the 2 most widely used "mobile health (mHealth)" strategies to promote walking behavior. However, previous studies have failed to discriminate the effect of self-monitoring from the combination of the 2 strategies, and provide practical evidence within Chinese culture. Some essential moderators, such as gender and group identity, were also overlooked.ObjectiveWe aimed to investigate the effectiveness of social norm and self-monitoring interventions for walking behavior and assess the moderating effects of gender and group identity, which could guide optimal mHealth intervention projects in China.MethodsIn 2 longitudinal tracking studies (study 1, 22 days; study 2, 31 days), Chinese college students wore trackers for at least 8 hours per day (MASAI 3D Pedometer and Xiaomi Wristband 2) to record their daily step counts in baseline, intervention, and follow-up stages. In each study, participants (study 1: n=117, 54% female, mean age 25.60 years; study 2: n=180, 51% female, mean age 22.60 years) were randomly allocated to 1 of the following 3 groups: a self-monitoring group and 2 social norm intervention groups. In the 2 intervention groups and during the intervention stage, participants received different social norm information regarding group member step rankings corresponding to their grouping type of social norm information. In study 1, participants were grouped by within-group member PA levels (PA consistent vs PA inconsistent), and in study 2, participants were grouped by their received gender-specific social norm information (gender consistent vs gender inconsistent). Piece-wise linear mixed models were used to compare the difference in walking steps between groups.ResultsIn study 1, for males in the self-monitoring group, walking steps significantly decreased from the baseline stage to the intervention stage (change in slope=-1422.16; P=.02). However, additional social norm information regardless of group consistency kept their walking unchanged. For females, social norm information did not provide any extra benefit beyond self-monitoring. Females exposed to PA-inconsistent social norm information even walked less (slope during the intervention=-122.18; P=.03). In study 2, for males, a similar pattern was observed, with a decrease in walking steps in the self-monitoring group (change in slope=-151.33; P=.08), but there was no decrease in the 2 social norm intervention groups. However, for females, gender-consistent social norm information decreased walking steps (slope during the intervention=-143.68; P=.03).ConclusionsBoth gender and group identity moderated the effect of social norm information on walking. Among females, social norm information showed no benefit for walking behavior and may have exerted a backfire effect. Among males, while walking behavior decreased with self-monitoring only, the inclusion of social norm information held the level of walking behavior steady.

Project description:Mobile phone use brings convenience to people's social communication and leisurely experience. While excessive mobile phone use also leads to problematic mobile phone use such as mobile phone addiction and nomophobia which has serious harm. For college students who have just entered college, the adaptability to college life and the level of adult attachment might affect mobile phone use. Therefore, it is necessary to study the relationships among mobile phone use, adaptability and adult attachment among college students in China. The data in this article could help researchers explore the mechanism between the mobile phone use, adaptability and adult attachment and had a deeper comprehension to the impact factor of mobile phone use among college students in China. Dataset provided in this article included 673 college students recruited from different grades in Tianjin Normal University. Among the participants, there were 138 males (20.5%) and 535 females. Fifty participants completed their questionnaires as a paper-pencil version in a classroom, there were 389 participants completed paper-pencil version in total and other 284 participants completed online surveys through the Wen Juan Xing App (https://www.wjx.cn). They took Nomophobia Scale for Chinese (NMP-C), Mobile Phone Addiction Tendency Scale (MPATS), Freshmen Adaptation Inventory (FAI) and Chinese of Experiences in Close Relationships Inventory (ECR-C) to measure college students' mobile phone use, adaptability and adult attachment in China, the missing values of these items were imputed by EM method due to the missing values were missing completely at random(MCAR). All the instruments for data collection were in the Chinese version. In addition, a .csv file consists of major variables we used were included as a supplementary material on the Zenodo Repository [1]. We used SPSS to perform descriptive statistical analysis and MPLUS to carry out lasso regression analysis with the collected data. For a discussion of the findings based on the dataset please see the article: The effect of college students' adaptability on nomophobia based on lasso regression [2].

Dataset Information

Excessive use of WeChat, social interaction and locus of control among college students in China.

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Excessive use of WeChat, social interaction and locus of control among college students in China.

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