The aim of this study was to investigate the risk factors of smartphone addiction in high school students.A total of 880 adolescents were recruited from a vocational high school in Taiwan in January 2014 to complete a set of questionnaires, including the 10-item Smartphone Addiction Inventory, Chen Internet Addiction Scale, and a survey of content and patterns of personal smartphone use. Of those recruited, 689 students (646 male) aged 14 to 21 and who owned a smartphone completed the questionnaire. Multiple linear regression models were used to determine the variables associated with smartphone addiction.Smartphone gaming and frequent smartphone use were associated with smartphone addiction. Furthermore, both the smartphone gaming-predominant and gaming with multiple-applications groups showed a similar association with smartphone addiction. Gender, duration of owning a smartphone, and substance use were not associated with smartphone addiction.Our findings suggest that smartphone use patterns should be part of specific measures to prevent and intervene in cases of excessive smartphone use.
Medical internship is known to be a time of high stress and long working hours, which increases the risk of depression and cardiovascular disease. Gender differences in medical interns' cardiovascular risk have not been reported previously. Thirty-eight medical interns (29 males) were repeatedly tested for depressive symptoms using the Hospital Anxiety and Depression Scale and 5-min spectral analysis of heart rate variability (HRV) at 3-month intervals during their internship. Among the male interns, the variance of the heart rate decreased at 6, 9, 12 months, and a reduced high frequency, which suggests reduced cardiac parasympathetic modulation, was found at 9 and 12 months into their internship. Increased depressive symptoms were also identified at 12 months in the male group. No significant differences in depression or any of the HRV indices were identified among the female interns during their internship.
BackgroundThe Depression and Somatic Symptoms Scale (DSSS), which is a free scale that includes a depression subscale (DS) and a somatic subscale (SS), was developed to evaluate depression and somatic symptoms simultaneously. This study aimed to examine the reliability and validity of the DSSS among patients with chronic low back pain (CLBP).MethodsTwo-hundred and twenty-five patients with CLBP were enrolled. Psychiatric diagnoses were made based on the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-IV-Text Revision. The DSSS, Oswestry Disability Index, Hospital Anxiety and Depression Scale (HADS), and Short Form 36 (SF-36) were administered. Cronbach’s alpha was used to test internal consistency. Receiver operating characteristic (ROC) analysis was used to identify cutoff scores for a major depressive episode (MDE).ResultsSubjects with an MDE (N=21) had greater severities of depression, anxiety, somatic symptoms, and disability as compared with those without an MDE. The Cronbach’s alpha values of the DS and SS were 0.90 and 0.83, respectively. The DS and SS were significantly correlated with the Oswestry Disability Index, the HADS, and the SF-36 subscales. The DS had the greatest area under the receiver operating characteristic curve (0.96) as compared with the SS and the HADS subscales. The cutoff score for an MDE was a DS score ≥15 (sensitivity and specificity: 100% and 88.7%, respectively).ConclusionThe DSSS subscales were of acceptable reliability and validity. The DS can be used as a tool for evaluating the severity of depression and detecting an MDE in patients with CLBP.
When assessing the issue of TCM use among cancer patients, healthcare providers must take into consideration its biological, psychological, and social aspects.
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