Smartphone addiction, sleep quality, depression, anxiety, and stress among medical students

Understanding the relationship between smartphone distraction, social withdrawal, digital stress, and depression among college students: A cross-sectional study in Wuhan, China

Background

Smartphone distraction considerably affects the depression level of college students. These two variables are highly associated with social withdrawal and digital distress. However, the underlying mechanisms of how social withdrawal and digital stress were involved in the relationship between smartphone distraction and depression remain unclear.

Methods

A cross-sectional survey was conducted in seven colleges of Wuhan, Hubei Province, from September to November 2021. Participants were selected using convenience sampling. Smartphone distraction, social withdrawal, digital stress, and depression level were assessed using the Smartphone Distraction Scale (SDS), 25-item Hikikomori Questionnaire (HQ-25), Multidimensional Digital Stress Scale (DSS), and the Patient Health Questionnaire-9 (PHQ-9), respectively. All scales demonstrated good reliability in this study, the reliability of each scale was 0.920, 0.884, 0.959, and 0.942.

Results

The final analysis included 1184 students (692 males and 492 females), aged between 17 and 37 years. Participants were from various academic disciplines, including medical and non-medical. The findings revealed that smartphone distraction had a significant direct effect on depression (c = 0.073, 95 % CI: 0.037 to 0.108, p < 0.001) and three significant indirect mediation effects: (1) social withdrawal (B = 0.083, 95 % CI: 0.066 to 0.101, p < 0.001), accounting for 27.76 % of the total effect; (2) digital stress (B = 0.109, 95 % CI: 0.088 to 0.132, p < 0.001), accounting for 36.45 % of the total effect; and (3) the chain mediating roles of social withdrawal and digital stress (B = 0.034, 95 % CI: 0.026 to 0.043, p < 0.001), accounting for 11.37 % of the total effect. The total mediating effect was 75.59 %.

Limitations

This study is based on cross-sectional data, which limits the causality inference.

Conclusions

These findings suggest that educational institutions should identify college students with excessive smartphone use early and provide timely interventions to minimize negative outcomes. It is also significant to reduce the risk of social withdrawal and digital stress to maintain the physical and mental health development of college students.

Problematic smartphone use and mental health outcomes among Singapore residents: The health and lifestyle survey

BACKGROUND

The excessive use of smartphones and its association with adverse outcomes has been widely reported, with several studies showing an association between smartphone overuse, depression, anxiety, and sleep-related problems.

METHODS

The study used data from the Health and Lifestyle Survey, a nationwide population survey. It examined the prevalence of Problematic Smartphone Use (PSU) and its association with mental health outcomes among Singapore residents aged 15-65 years.

PARTICIPANTS

Participants were assessed for PSU using the Smartphone Addiction Scale-Short Version, psychological distress with the Patient Health Questionnaire-9, and Generalised Anxiety Disorder -7 questionnaire, sleep problems using the Insomnia Severity Index, and positive mental health with Rapid Positive Mental Health Instrument.

RESULTS

In all, 6509 participants completed the survey, giving a survey response rate of 73.2 %. The prevalence of PSU was 30.2 % in the population. Individuals with PSU were more likely to have symptoms of moderate or severe depression (OR: 3.2, 95 % CI: 2.4-4.4), anxiety (OR: 3.4, 95 % CI: 2.4-4.8), insomnia (OR: 3.4, 95 % CI: 2.8-4.2), and poorer positive mental health (β: -0.3, 95 % CI: -0.4 to -0.2).

CONCLUSIONS

The study is the first to examine PSU in a national sample of Singaporeans across a wide age range. It provides valuable insights into mental health comorbidities among those with PSU, which is useful for practitioners.

Prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder among medical college students

Background

The incidence of smartphone addiction has been widely studied, but the research on the relationship between smartphone addiction and psychological distress and internet gaming disorder is limited. This study investigated the characteristics and prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder. Furthermore, it provides the scientific basis for intervention measures in schools, families, and society.

Methods

A random cluster sampling method was applied to investigate 656 medical students from grades 1 to 4 at Wannan Medical College in Anhui province, People's Republic of China. The questionnaire consisted of general information, a smartphone addiction scale, an Internet gaming disorder scale, and a Kessler 6-item psychological distress test. The obtained results were first summarized using descriptive statistics. The Chi-square test was used to compare the status of smartphone addiction. Binary logistic regression was used to analyze the relationship between smartphone addiction and various variables.

Results

Our results showed that the prevalence of smartphone addiction in medical students was 49.5% (325/656). Psychological distress (p < 0.001), internet gaming disorder (p < 0.001), and childhood trauma (p = 0.001) were highly correlated with smartphone addiction in medical students. Psychological distress, and internet gaming disorder were positively associated with smartphone addiction (p < 0.000).

Conclusion

The prevalence of smartphone addiction is high among medical students in Chinese. Smartphone addiction is highly related to related to internet gaming disorder and psychological distress.

A moderated chain mediation model examining the relation between smartphone addiction and intolerance of uncertainty among master's and PhD students

The theories of relational regulation and compensatory Internet use suggest that intolerance of uncertainty influences smartphone addiction (SPA), which in turn is influenced by other aspects. This study used previous results to examine how intolerance of uncertainty affects SPA in PhD and master's degree programs. A convenience sample comprising 1727 master's and PhD students (99.9 %; 50.7 % female; Mage = 27.71; SD = 3.80; range = 21-43) was recruited. Using established questionnaires, we measured SPA, anxiety, positive coping style, perceived social support, and intolerance of uncertainty. The results demonstrated that intolerance of uncertainty positively affects SPA in terms of predictive power. Furthermore, anxiety and positive coping style mediate that link in a cascade fashion. A greater SPA indicates that the individual is less likely to use a positive coping style, has a higher anxiety level, and has a lower tolerance for uncertainty. While thinking about how intolerance of uncertainty affects anxiety and positive coping style, perceived social support mediates the relationship. Intolerance of uncertainty has less impact on anxiety and positive coping style when perceived social support is high. These results indicate the possibility of examining SPA prevention and intervention from several angles. Therefore, emotional regulation, which modifies anxiety and the tendency to use a positive coping style, may reduce the impact of intolerance of uncertainty on SPA. Another successful strategy for reducing smartphone addiction is to provide social support from loved ones and the community at large.

The Effect of Physical Activity on Sleep Quality Among Chinese College Students: The Chain Mediating Role of Stress and Smartphone Addiction During the COVID-19 Pandemic

Purpose

During the period of COVID-19 pandemic, the social restrictions and isolation exerted a significant impact on the sleep quality of Chinese college students. This study aims to delve into the influence of physical activity on the sleep quality of college students as well as the mediating roles of stress and smartphone addiction.

Materials and Methods

A cohort of 274 eligible college students (146 males and 128 females) were selected for the investigation. The International Physical Activity Questionnaire Short Form, Stress Perception Scale, Smartphone Addiction Scale, and Pittsburgh Sleep Quality Index were employed to assess the levels of physical activity, stress, smartphone addiction, and sleep quality among college students. For data analysis, descriptive statistics, correlation analysis, and chained mediation effect tests were performed sequentially.

Results

The findings revealed: (1) a significant negative correlation between physical activity and stress, smartphone addiction, and sleep quality among college students (r = -0.216, p < 0.001; r = -0.224, p < 0.001; r = -0.259, p < 0.001); (2) independent mediating roles of stress and smartphone addiction in the relationship between physical activity and sleep quality; and (3) chained mediating effects of stress and smartphone addiction in the association between physical activity and sleep quality.

Conclusion

This study deepens our comprehension of how physical activity augments the quality of slumber, concurrently emphasizing that mitigating stress levels and alleviating smartphone addiction constitute effective strategies for preventing sleep issues among college students.

The Moderating Effect of Self-Efficacy on Pregnancy Stress and Smartphone Addiction of Pregnant Women in Late Pregnancy: A Longitudinal Study

Purpose

We aimed to understand the current situation of smartphone addiction in pregnant women, and explored the moderating effect of self-efficacy between pregnancy stress and smartphone addiction.

Patients and Methods

This study adopted a longitudinal design to collect pregnant women from the obstetrics and gynecology department of a tertiary hospital in Shenyang in 2020 from early pregnancy (T1) to their late pregnancy (T2). A total of 342 questionnaires were collected, including the Smartphone Addiction Scale-Short Version (SAS-SV), the Pregnancy Pressure Scale (PPS), and the Chinese version of the General Self-Efficacy Scale (GSES). Multiple hierarchical regression and simple slope test were used to test the moderating effect of self-efficacy.

Results

Smartphone addiction in T2 (44.74) was more sever than in T1 (33.11). The interaction item of T1 pregnancy stress and T2 self-efficacy was positively correlated with smartphone addiction (β=0.205, P<0.01) and explained an additional 3.2% variance (ΔR2=0.032, P<0.01). The influence of pregnancy stress on smartphone addiction was gradually decreased in the low, mean, and high groups of self-efficacy.

Conclusion

Smartphone addiction in late pregnancy was more severe than that in early pregnancy, possibly due to increased pregnancy stress. The self-efficacy of pregnant women could reduce the impact of pregnancy stress on smartphone addiction. Medical staff can alleviate the bad behavior by improving their self-efficacy.