scholarly journals Mobile Phone Dependence, Social Support and Impulsivity in Chinese University Students

2018 ◽  
Vol 15 (3) ◽  
pp. 504 ◽  
Author(s):  
Songli Mei ◽  
Jingxin Chai ◽  
Shi-Bin Wang ◽  
Chee Ng ◽  
Gabor Ungvari ◽  
...  
Keyword(s):  
Social Support ◽  
University Students ◽  
Mobile Phone ◽  
Chinese University ◽  
Chinese University Students

scholarly journals The severity of mobile phone addiction and its relationship with quality of life in Chinese university students

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8859
Author(s):  
Lu Li ◽  
Grace K.I. Lok ◽  
Song Li Mei ◽  
Xi Ling Cui ◽  
Lin Li ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Hong Kong ◽  
University Students ◽  
Mobile Phone ◽  
Mainland China ◽  
Mobile Phone Use ◽  
Mobile Phone Addiction ◽  
Chinese University ◽  
Chinese University Students

Objective This study examined the severity of mobile phone addiction and its relationship with quality of life (QOL) in Chinese university students. Methods A total of 2,312 university students from Macao, Hong Kong and mainland China participated in this cross-sectional study. The Mobile Phone Addiction Scale (MPAS), and the World Health Organization Quality of Life-Brief version (WHOQOL-BREF) rating instruments were used to assess the severity of mobile phone addiction and QOL, respectively. Results Compared to students in mainland China, those in Macao and Hong Kong were more likely to have excessive mobile phone use. Multiple linear regression revealed that high academic pressure and poor academic performance were positively associated, while male gender, greater interest in academic major and long sleep duration were negatively associated with the severity of mobile phone addiction. Students addicted to mobile phone use had significantly lower scores across all QOL domains. Conclusion Due to the adverse impact of excessive mobile phone use on QOL, public education and effective preventive measures should be developed for Chinese university students.

scholarly journals Social Support and Suicide Risk Among Chinese University Students: A Mental Health Perspective

2021 ◽  
Vol 9 ◽  
Author(s):  
Haiyun Chu ◽  
Yanjie Yang ◽  
Jiawei Zhou ◽  
Wenbo Wang ◽  
Xiaohui Qiu ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Depressive Symptoms ◽  
University Students ◽  
Indirect Effect ◽  
Suicide Risk ◽  
World Health ◽  
Chinese University ◽  
Chinese University Students ◽  
The Impact

Background: World Health Organization recognizes suicide as a public health priority. This study aimed to investigate the risk life events which led university students to consider suicide and explore the protective mechanism of social support (including subjective support, objective support, and support utilization) on suicide risk.Methods: Three thousand nine hundred and seventy-two university students were recruited in Harbin, China. Social Support Rating Scale, Self-Rating Anxiety Scale, the Beck Depression Inventory, and the 25-item scale of suicide acceptability were used to collect participants' information. Descriptive statistics, Pearson's correlation, and mediation analysis were employed for statistical analysis.Results: “Drug addict,” “infected with HIV,” and “incurable illness” were the top three events that led university students to consider suicide. Social support played an important protective role against suicide risk. Subjective support and support utilization had total effects on suicide acceptability, including direct and indirect effects. Anxiety (indirect effect = −0.022, 95% CI = −0.037 ~ −0.009) and depressive symptoms (indirect effect = −0.197, 95% CI = −0.228 ~ −0.163) mediated the relationship between subjective support and suicide acceptability; meanwhile, the association between support utilization and suicide acceptability was mediated by anxiety (indirect effect = −0.054, 95% CI = −0.088 ~ −0.024) and depressive symptoms (indirect effect = −0.486, 95% CI = −0.558 ~ −0.422). However, the protective impact of objective support worked totally through decreasing anxiety (indirect effect = −0.018, 95% CI = −0.035 ~ −0.006) and depressive symptoms (indirect effect = −0.196, 95% CI = −0.246 ~ −0.143). Moreover, the mediation effects of depressive symptoms had stronger power than anxiety in the impact of social support on suicide risk.Conclusions: Among Chinese university students, suicide acceptability was elevated when there was a health scare. Social support effectively reduced suicide risk via decreasing anxiety and depressive symptoms. From the mental health perspective, families, peers, teachers, and communities should work together to establish a better social support system for university students, if necessary, help them to seek professional psychological services.

scholarly journals Depression and its correlation with social support and health-promoting lifestyles among Chinese university students: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e044236
Author(s):  
Zaili Tang ◽  
Shuidong Feng ◽  
Jing Lin
Keyword(s):  
Social Support ◽  
University Students ◽  
Healthy Lifestyle ◽  
Secondary Outcome ◽  
Comprehensive University ◽  
Cross Sectional ◽  
Chinese University ◽  
Prevalence Of Depression ◽  
Health Promoting ◽  
Chinese University Students

ObjectivesTo investigate the prevalence of depression in college students and determine how social support and healthy lifestyle factors are associated with depression in this population.DesignA cross-sectional design.SettingA comprehensive university in Changsha, Hunan, South China. The study was conducted from May to June 2019.ParticipantsA total of 541 students at the comprehensive university.Primary and secondary outcome measuresThe Zung Self-Rating Depression Scale, Social Support Rating Scale and Health-Promoting Lifestyle Profile-II (HPLP-II) were used to evaluate depression, social support and lifestyles, respectively, and analyse the mutual relationships among them.ResultsAmong the 541 participants, 161 (29.8%) experienced depressive symptoms, and there were significant gender-related and academic discipline-related differences in self-rated depression. The average social support score was 38.06 (38.06±7.52). The average HPLP-II score was 71.09 (71.09±11.47). A monofactor analysis showed that depression was correlated with social support and a healthy lifestyle. As demonstrated by logistic regression analysis, being a woman (OR=2.613, 95% CI: 1.541 to 4.43), inadequate social support (OR=0.912, 95% CI: 0.877 to 0.948), poor nutrition (OR=0.87, 95% CI: 0.775 to 0.977) and lack of self-actualisation (OR=0.644, 95% CI: 0.572 to 0.724) were significantly correlated with depression.ConclusionsOwing to the high prevalence of depression among Chinese university students, educational institutions must take measures such as providing compulsory mental health education courses and improving the psychological counselling services available to students.

scholarly journals Depression, Anxiety, and Suicidal Ideation in Chinese University Students During the COVID-19 Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Shuang-Jiang Zhou ◽  
Lei-Lei Wang ◽  
Meng Qi ◽  
Xing-Jie Yang ◽  
Lan Gao ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Depressive Symptoms ◽  
Graduate Students ◽  
Suicidal Ideation ◽  
University Students ◽  
Protective Factors ◽  
Anxiety Symptoms ◽  
Chinese University ◽  
Chinese University Students

Coronavirus disease-2019 (COVID-19) pandemic has seriously threatened the global public health security and caused a series of mental health problem. Current research focuses mainly on mental health status and related factors in the COVID-19 pandemic among Chinese university students. Data from 11133 participants was obtained through an online survey. The Patient Health Question-9 (PHQ-9) was used to assess depressive symptoms, the Social Support Rate Scale (SSRS) was used to assess social support. We also used 7-item Generalized Anxiety Disorder Scale (GAD-7) to assess anxiety symptoms. Totally, 37.0% of the subjects were experiencing depressive symptoms, 24.9% anxiety symptoms, 20.9% comorbid depressive and anxiety symptoms, and 7.3% suicidal ideation. Multivariable logistic regression analysis revealed an increased presence of mental health problems in female students, graduate students, and those with personal COVID-19 exposure. Awareness of COVID-19, living with family were protective factors that reduced anxiety and depression symptoms. In addition, male, personal COVID-19 exposure, depressive and anxiety symptoms were risk factors for suicidal ideation. Social support, COVID-19 preventive and control measures, prediction of COVID-19 trends, living with family and graduate students are protective factors for reducing suicidal ideation.

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