Prevalence of smartphone addiction and its effects on subhealth and insomnia: a cross-sectional study among medical students.
Ontology highlight
ABSTRACT: Objective
This study aimed to assess Chinese medical students' smartphone addiction and its effects on subhealth and insomnia.Methods
A cross-sectional survey was conducted from October 14, 2020 to November 14, 2020 by administering an online questionnaire to Wannan Medical College students.Results
Of 2741 students who completed the survey, 1,447 (52.8%) had smartphone addiction. Medical specialty (p = 0.004), alcohol consumption (p = 0.001), smartphone use in bed (p = 0.000), depression (p = 0.000) and anxiety (p = 0.000) were strongly associated with smartphone addiction. The impacts of smartphone addiction on subhealth (p = 0.000) and insomnia (p = 0.000) were significant.Conclusion
This survey shows that the smartphone addiction detection rate among medical students was 52.8%. Students who did not like their medical specialty, consumed alcohol, used their smartphones in bed, and suffered from depression and anxiety had a higher smartphone addiction detection rate. The subhealth and insomnia of medical students are adversely associated with smartphone addiction.
SUBMITTER: Liu H
PROVIDER: S-EPMC9052183 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature
Publications
Prevalence of smartphone addiction and its effects on subhealth and insomnia: a cross-sectional study among medical students.
Liu Huan H Zhou Zhiqing Z Huang Long L Zhu Ergang E Yu Liang L Zhang Ming M
BMC psychiatry 20220429 1
<h4>Objective</h4>This study aimed to assess Chinese medical students' smartphone addiction and its effects on subhealth and insomnia.<h4>Methods</h4>A cross-sectional survey was conducted from October 14, 2020 to November 14, 2020 by administering an online questionnaire to Wannan Medical College students.<h4>Results</h4>Of 2741 students who completed the survey, 1,447 (52.8%) had smartphone addiction. Medical specialty (p = 0.004), alcohol consumption (p = 0.001), smartphone use in bed (p = 0. ...[more]
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Project description:IntroductionStudies consistently link excessive smartphone use to poor sleep quality, depression, anxiety, and stress. This study specifically aimed to investigate these associations among medical students in Belgrade and Nis (Central Serbia).Materials and methodsThe cross-sectional study included a sample of 761 students, who were selected from both the Faculties of Medicine at the University of Belgrade and the University of Nis. Questionnaires, including the International Physical Activity Questionnaire - Short Form (IPAQ-SF), Smartphone Addiction Scale - Short Version (SAS-SV), the Pittsburgh Sleep Quality Index (PSQI), and the Depression, Anxiety, and Stress Scale - 21 items (DASS-21), were completed by the participants. Statistical analysis techniques, such as the Chi-square test, student's t-test, and logistic regression, were employed to examine the relationship between smartphone addiction, physical activity, sleep quality, depression, anxiety, and stress.ResultsThe findings indicated a prevalence of smartphone addiction among medical students at 21.7%, with rates of 22.9% among males and 21.1% among females. Females exhibited significantly higher scores on the SAS-SV scale compared to males (p = 0.032). Univariate logistic regression analysis revealed significant associations between smartphone addiction and spending over 4 h daily on smartphones (OR = 2.39; p < 0.001), poor sleep quality (OR = 1.65; p = 0,005), as well as elevated levels of stress (OR = 1.75; p = 0.003), anxiety (OR = 2.04; p < 0.001), and depression (OR = 2.29; p < 0.001). Multivariate regression analysis identified spending more than 4 h daily on smartphones (OR = 2.39; p < 0.001) and increased levels of depression (OR = 2.51; p < 0.001) as independent significant factors associated with smartphone addiction.ConclusionThis study sheds light on the prevalence of smartphone addiction among medical students, with spending excessive time on smartphones and higher levels of depression standing out as significant factors. Future research should delve into the underlying mechanisms and causal relationships between smartphone addiction and these psychosocial factors. Understanding these connections will aid in developing effective interventions and strategies to tackle this growing public health concern.
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Project description:IntroductionAn increasing amount of research has shown a link between psychopathological behaviors such as smartphone addiction, depression, anxiety, and stress. The aim of this study was to assess the association of smartphone addiction with depression, anxiety, and stress.MethodsA cross-sectional study was conducted between 26th January and 3rd March 2021. The sample was chosen using a convenient sampling technique and Raosoft tool. The survey assessed smartphone addiction using abbreviated versions of the Addiction Scale Short Version, a self-administered questionnaire that has been validated in the English and Arabic languages. Also, Depression and Anxiety Stress Scale was used to measure the level of depression, anxiety, and stress among the university students.ResultsA total of 367 university students from the Medical and Health Sciences College participated. Our findings showed that smartphone addiction exhibited positive correlations with depression (r = 0.375, p < 0.01), anxiety (r = 0.253, p < 0.01), and stress (r = 0.328, p < 0.05). In addition, there was a strong positive correlation between depression and both anxiety and stress (r = 0.731, p < 0.01) (r = 0.778, p < 0.01), respectively. Finally, stress and anxiety showed a positive correlation (r = 0.708, p < 0.01).ConclusionWhen combined, our data offer strong support for a bidirectional hybrid theory that takes into account the link between smartphone addiction and depression, anxiety, and stress. The current study's findings might assist national health authorities in strengthening their efforts to prevent depression, anxiety, and stress associated with the use of modern technology.
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Project description:BackgroundSocial media (SoMe) have taken a major place in the medical field, and younger generations are increasingly using them as their primary source to find information.ObjectiveThis study aimed to describe the use of SoMe for medical education among French medical students and assess the prevalence of smartphone addiction in this population.MethodsA cross-sectional web-based survey was conducted among French medical students (second to sixth year of study). The questionnaire collected information on SoMe use for medical education and professional behavior. Smartphone addiction was assessed using the Smartphone Addiction Scale Short-Version (SAS-SV) score.ResultsA total of 762 medical students responded to the survey. Of these, 762 (100%) were SoMe users, spending a median of 120 (IQR 60-150) minutes per day on SoMe; 656 (86.1%) used SoMe for medical education, with YouTube, Instagram, and Facebook being the most popular platforms. The misuse of SoMe in a professional context was also identified; 27.2% (207/762) of students posted hospital internship content, and 10.8% (82/762) searched for a patient's name on SoMe. Smartphone addiction was prevalent among 29.1% (222/762) of respondents, with a significant correlation between increased SoMe use and SAS-SV score (r=0.39, 95% CI 0.33-0.45; P<.001). Smartphone-addicted students reported a higher impact on study time (211/222, 95% vs 344/540, 63.6%; P<.001) and a greater tendency to share hospital internship content on social networks (78/222, 35.1% vs 129/540, 23.8%; P=.002).ConclusionsOur findings reveal the extensive use of SoMe for medical education among French medical students, alongside a notable prevalence of smartphone addiction. These results highlight the need for medical schools and educators to address the responsible use of SoMe and develop strategies to mitigate the risks associated with excessive use and addiction.
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Project description:BackgroundHeadache disorders are among the leading causes of disability worldwide, especially in young adults. However, no data on the burden of these disorders in Vietnam have been published to date. This study is the first to assess the prevalence of headache disorders among Vietnamese medical students.MethodsThis study was conducted in accordance with the recommended methodology of the Global Campaign. Data were collected through interviews using the HARDSHIP structured questionnaire, translated into Vietnamese, with diagnostic assessments based on ICHD-3 criteria. Participants were recruited from two medical universities in Vietnam. The 1-year prevalence rates of headache disorders of public health significance (migraine, tension-type headache [TTH], and probable medication-overuse headache [pMOH]) were estimated. Logistic regression analyses were performed to evaluate the associations between headache disorders and sociodemographic/anthropometric variables.ResultsA total of 1,362 participants (42.7% males and 57.3% females) with a mean age of 21.1 ± 1.6 years were included. The overall 1-year prevalence of any headache was 82.6% [95% CI: 80.5-84.6], with a prevalence of 74.7% [71.0-78.2] among males and 88.5% [86.0-90.6] among females. The 1-year prevalences for specific headache types were as follows: migraine 21.8% [19.6-24.1], TTH 54.0% [51.3-56.7], pMOH 0.4% [0.2-1.0], and other headaches on ≥ 15 days/month 3.7% [2.7-4.8]. The one-day prevalence of any headache was 12.1%. Female gender (adjusted OR = 1.77 [1.32-2.36]; p < 0.001) was independently associated with a higher prevalence of migraine, while older age (aOR = 0.84 [0.77-0.91] per year increase) was associated with a lower prevalence. In contrast, TTH was more common among older participants (aOR = 1.07 [1.005-1.15] per year increase).ConclusionsThis study highlights the high prevalence of headache disorders, particularly migraine and TTH, among medical students in Vietnam. These findings underscore the critical need for public health initiatives to improve early diagnosis and effective management of headache disorders within this population.
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