Dataset Information

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

ABSTRACT: This study examined the frequency of mobile phone dependence in Chinese university students and explored its association with social support and impulsivity. Altogether, 909 university students were consecutively recruited from a large university in China. Mobile phone use, mobile phone dependence, impulsivity, and social support were measured with standardized instruments. The frequency of possible mobile phone use and mobile phone dependence was 78.3% and 7.4%, respectively. Multinomial logistic regression analyses revealed that compared with no mobile phone dependence, possible mobile phone dependence was significantly associated with being male (p = 0.04, OR = 0.7, 95% CI: 0.4-0.98), excessive mobile phone use (p < 0.001, OR = 1.2, 95% CI: 1.09-1.2), and impulsivity (p < 0.001, OR = 1.05, 95% CI: 1.03-1.06), while mobile phone dependence was associated with length of weekly phone use (p = 0.01, OR = 2.5, 95% CI: 1.2-5.0), excessive mobile phone use (p < 0.001, OR = 1.3, 95% CI: 1.2-1.4), and impulsivity (p < 0.001, OR = 1.08, 95% CI: 1.05-1.1). The frequency of possible mobile phone dependence and mobile phone dependence was high in this sample of Chinese university students. A significant positive association with impulsivity was found, but not with social support.

SUBMITTER: Mei S

PROVIDER: S-EPMC5877049 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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

Mei Songli S Chai Jingxin J Wang Shi-Bin SB Ng Chee H CH Ungvari Gabor S GS Xiang Yu-Tao YT

International journal of environmental research and public health 20180313 3

This study examined the frequency of mobile phone dependence in Chinese university students and explored its association with social support and impulsivity. Altogether, 909 university students were consecutively recruited from a large university in China. Mobile phone use, mobile phone dependence, impulsivity, and social support were measured with standardized instruments. The frequency of possible mobile phone use and mobile phone dependence was 78.3% and 7.4%, respectively. Multinomial logist ...[more]

PMID: 29533986

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Project description:Brief interventions via the internet have been shown to reduce university students' alcohol intake. This study tested two smartphone applications (apps) targeting drinking choices on party occasions, with the goal of reducing problematic alcohol intake among Swedish university students.Students were recruited via e-mails sent to student union members at two universities. Those who gave informed consent, had a smartphone, and showed risky alcohol consumption according to the Alcohol Use Disorders Identification Test (AUDIT) were randomized into three groups. Group 1 had access to the Swedish government alcohol monopoly's app, Promillekoll, offering real-time estimated blood alcohol concentration (eBAC) calculation; Group 2 had access to a web-based app, PartyPlanner, developed by the research group, offering real-time eBAC calculation with planning and follow-up functions; and Group 3 participants were controls. Follow-up was conducted at 7 weeks.Among 28574 students offered participation, 4823 agreed to join; 415 were excluded due to incomplete data, and 1932 fulfilled eligibility criteria for randomization. Attrition was 22.7-39.3 percent, higher among heavier drinkers and highest in Group 2. Self-reported app use was higher in Group 1 (74%) compared to Group 2 (41%). Per-protocol analyses revealed only one significant time-by-group interaction, where Group 1 participants increased the frequency of their drinking occasions compared to controls (p?=?0.001). Secondary analyses by gender showed a significant difference among men in Group 1 for frequency of drinking occasions per week (p?=?0.001), but not among women. Among all participants, 29 percent showed high-risk drinking, over the recommended weekly drinking levels of 9 (women) and 14 (men) standard glasses.Smartphone apps can make brief interventions available to large numbers of university students. The apps studied using eBAC calculation did not, however, seem to affect alcohol consumption among university students and one app may have led to a negative effect among men. Future research should: 1) explore ways to increase user retention, 2) include apps facilitating technical manipulation for evaluation of added components, 3) explore the effects of adapting app content to possible gender differences, and 4) offer additional interventions to high-risk users.clinicaltrials.gov: NCT01958398.

Dataset Information

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

Publications

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

Similar Datasets

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