DESIGN AND MEASURES: Data were analysed from the Global School-Based Student Health Survey Timor-Leste (n = 3455). An ordered probit model was used to assess the effects of demographic, lifestyle, social, and psychological factors on different levels of worry-related sleep problems (i.e., no, mild and severe sleep problems).
RESULTS: School-going adolescents were more likely to face mild or severe worry-related sleep problems if they were older, passive smokers, alcohol drinkers and moderately active. School-going adolescents who sometimes or always went hungry were more likely to experience worry-related sleep problems than those who did not. Involvement in physical fights, being bullied, and loneliness were positively associated with the probability of having modest or severe worry-related sleep problems.
CONCLUSION: Age, exposure to second-hand smoke, alcohol consumption, physical activity, going hungry, physical fights, being bullied and loneliness are the important determining factors of adolescent worry-related sleep problems. Policymakers should pay special attention to these factors when formulating intervention measures.
METHODS: Using data from the International Sex Survey (N = 82,243; Mage = 32.39; SDage = 12.52; women: n = 46,874; 57 %), we examined the reliability of depression and anxiety symptom scores of the BSI-18, as well as evaluated evidence of construct, invariance, and criterion-related validity in predicting clinically relevant variables across countries, languages, genders, and sexual orientations.
RESULTS: Results corroborated an invariant, two-factor structure across all groups tested, exhibiting excellent reliability estimates for both subscales. The 'caseness' criterion effectively discriminated among those at low and high risk of depression and anxiety, yielding differential effects on the clinical criteria examined.
LIMITATIONS: The predictive validation was not made against a clinical diagnosis, and the full BSI-18 scale was not examined (excluding the somatization sub-dimension), limiting the validation scope of the BSI-18. Finally, the study was conducted online, mainly by advertisements through social media, ultimately skewing our sample towards women, younger, and highly educated populations.
CONCLUSIONS: The results support that the BSI-12 is a valid and reliable assessment tool for assessing depression and anxiety symptoms across countries, languages, genders, and sexual orientations. Further, its caseness criterion can discriminate well between participants at high and low risk of depression and anxiety.
METHODS: The study enrolled a total of 31 students who actively participated in a 5-week STQE program, consisting of three 60-minute sessions per week. Physical and mental health assessments included the Plank test, vital capacity measurement, 1000/800 m run test, standing jump, and the Zung Self-Rating Scale. Data analysis was performed using SPSS.
RESULTS: Following the STQE intervention, participants showed improvement in core strength (28.1 seconds in the Plank test, P = .025) and lower limb explosive force (6.52 cm in the standing jump test, P = .011), accompanied by a decrease in anxiety levels (a reduction of 3.41 in the Zung Self-Rating Scale, P = .039). However, no significant improvements were observed in cardiopulmonary endurance, as evidenced by a non-significant increase of 237.84 mL in vital capacity (P = .134) and a non-significant reduction of 1.6 seconds in the 1000/800 m run test (P = .764).
CONCLUSION: The study suggests that the STQE program effectively improves core strength, lower limb explosive force, and reduces anxiety levels among university students.
BACKGROUND: Smartphones have become indispensable tools for students. However, excessive use can lead to smartphone addiction, causing physiological, psychological and social harm. Nursing students represent a unique population whose smartphone use may differ from other disciplines due to clinical training demands.
METHODS: A scoping review was conducted following the Arksey and O'Malley framework. Seven databases were systematically searched from inception to August 2023. Inclusion criteria encompassed original research on smartphone addiction, harms and risks among nursing students. Data were extracted and thematically synthesized.
RESULTS: Studies (n=39) met inclusion criteria, representing 15 countries. Rates of smartphone addiction among nursing students ranged from 19% to 72%, averaging 40-50%. Incorporated into Engel's biopsychosocial models, the harm is emphasized across individual inclinations, emotional aspects, cognitive processes and executive functions. Physiological harms include sleep disruption, vision concerns,other physiological concerns. psychologically, addiction correlated with increased anxiety and depression,decline in self-esteem, learning and attention and other psychological concerns. socially, it encompasses harms such as interpersonal relationships challenges, career development and decline in social abilities. The I-PACE model identifies various risk factors for smartphone addiction among nursing students, including personal factors such as interpersonal relationship anxiety and perceived academic pressure, affective factors like high stress and learning burnout, cognitive factors such as the need for online social interaction and low perception of social support, as well as executive factors like extended usage duration, poor self-control and usage before sleep.
CONCLUSION: Smartphone addiction among nursing students presents tangible harms. A proposed theoretical model integrating established frameworks provides avenues to better comprehend addiction genesis and potential intervention strategies. Given addiction's multi-factorial nature, future research investigating harm mitigation through optimizing predisposing, precipitating and perpetuating factors is warranted.
METHODS: This cross-sectional study was performed from September to November 2022. Self-reported questionnaires including the Big Five Personality Questionnaire, General Self-Efficacy Scale, College Student's academic burnout Scale, Generalized Anxiety Scale and demographic characteristics were distributed to 2505 college students in a university in Hebei Province, of which 2,471 were valid. Statistical analysis was carried out through SPSS26.0 and SPSS PROCESS macro.
RESULTS: Results showed four of the big five personality characters (i.e., extraversion, agreeableness, conscientiousness, and openness) were negatively correlated with anxiety. Neuroticism was positively correlated with anxiety. Moreover, general self-efficacy was found to be negatively correlated with academic burnout and anxiety; academic burnout was positively correlated with anxiety. Finally, general self-efficacy and academic burnout mediated the relationship between personality traits (i.e., extraversion, agreeableness, neuroticism, openness) and anxiety.
CONCLUSIONS: Personality traits (i.e., extraversion, agreeableness, neuroticism, and openness) could influence anxiety through the chain mediating effects of general self-efficacy and academic burnout. Interventions focusing on anxiety reduction may be successful in increasing general self-efficacy and decreasing students' academic burnout.
OBJECTIVE: Therefore, this research aims to create a flexible mental health care architecture that leverages data-driven methodologies and ensemble machine learning models. The objective is to proficiently structure, process, and present data for positive computing. The adaptive data-driven architecture facilitates customized interventions for diverse mental disorders, fostering positive computing. Consequently, improved mental health care outcomes and enhanced accessibility for individuals with varied mental health conditions are anticipated.
METHOD: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, the researchers conducted a systematic literature review in databases indexed in Web of Science to identify the existing strengths and limitations of software architecture relevant to our adaptive design. The systematic review was registered in PROSPERO (CRD42023444661). Additionally, a mapping process was employed to derive essential paradigms serving as the foundation for the research architectural design. To validate the architecture based on its features, professional experts utilized a Likert scale.
RESULTS: Through the review, the authors identified six fundamental paradigms crucial for designing architecture. Leveraging these paradigms, the authors crafted an adaptive data-driven architecture, subsequently validated by professional experts. The validation resulted in a mean score exceeding four for each evaluated feature, confirming the architecture's effectiveness. To further assess the architecture's practical application, a prototype architecture for predicting pandemic anxiety was developed.
METHODS: A web-based survey in 13 languages was conducted among non-Japanese residents living in Japan during the COVID-19 situation. The State-Trait Anxiety Inventory assessed the level of anxiety-State (STAI-S) scores prorated from its six-item version. The multivariable logistic regression using the Akaike Information Criterion (AIC) method was performed to identify the associated factors of anxiety among participants.
RESULTS: From January to March 2021, we collected 392 responses. A total of 357 valid responses were analyzed. 54.6% of participants suffered from clinically significant anxiety (CSA). In multivariable logistic model analysis, the CSA status or the high level of anxiety was associated with three factors, including having troubles/difficulties in learning or working, decreased sleep duration, and decreased overall physical health (p<0.05).
CONCLUSION: Our study suggests several possible risk factors of anxiety among non-Japanese residents living in Japan undergoing the COVID-19 pandemic, including the troubles or difficulties in learning or working, the decrease in sleep duration, and the decrease in overall physical health.
METHOD: Participants aged above 60 years from three ageing cohorts in Malaysia were interviewed virtually. The Fatigue, Resistance, Ambulation, Illness and Loss of Weight scale, blind Montreal Cognitive Assessment, 15-item Geriatric Depression Scale, anxiety subscale of Depression, Anxiety and Stress Scale and four-item Perceived Stress Scale measured frailty, mild cognitive impairment (MCI), depression, anxiety and stress, respectively.
RESULTS: Cognitive frailty data were available for 870 participants, age (mean ± SD) = 73.44 ± 6.32 years and 55.6% were women. Fifty-seven (6.6%) were robust, 24 (2.8%) had MCI, 451 (51.8%) were pre-frail, 164 (18.9%) were pre-frail+MCI, 119 (13.7%) were frail and 55 (6.3%) were frail+MCI. There were significant differences in depression and anxiety scores between the controlled MCO and recovery MCO. Using multinomial logistic regression, pre-frail (mean difference (95% confidence interval, CI) = 1.16 (0.932, 1.337), frail (1.49 (1.235, 1.803) and frail+MCI (1.49 (1.225, 1.822)) groups had significantly higher depression scores, frail (1.19 (1.030, 1.373)) and frail+MCI (1.24 (1.065, 1.439)) had significantly higher anxiety scores and pre-frail (1.50 (1.285, 1.761)), frail (1.74 (1.469, 2.062)) and frail+MCI (1.81 (1.508, 2.165)) had significantly higher stress scores upon adjustments for the potential confounders. The MCO was a potential confounder in the relationship between depression and prefrail+MCI (1.08 (0.898, 1.340)).
CONCLUSION: Frail individuals with or without MCI had significantly higher depression, anxiety and stress than those who were robust. Increased depression and stress were also observed in the pre-frail group. Interventions to address psychological issues in older adults during the COVID-19 pandemic could target prefrail and frail individuals and need further evaluation.
MATERIALS AND METHODS: This cross-sectional study was conducted among vitiligo patients aged 18 years and older in Hospital Klang, Selangor between October 2021 and June 2022. Assessment instruments used were Vitiligo Area Scoring Index (VASI) and Hospital Anxiety and Depression Scale (HADS). Demographic data and clinical characteristics of vitiligo patients were recorded.
RESULTS: Of the 100 participants, 12 (12%) and 21 (21%) had depression and anxiety, respectively. The mean depression score (HADS-depression component) was 3.4 (SD 3.4) and mean anxiety score (HADS-anxiety component) was 4.7 (SD 3.9). There were significantly higher number of patients with abnormal HADS-D score in the age group of 35-51 years (p=0.029), single status (p=0.001), with employment (p=0.014) and disease duration <2 years (p=0.004). Patients in the divorced/widowed group had a significant association with anxiety (p=0.011).
CONCLUSION: The prevalence of depression was 12% while anxiety was 21% in our cohort. Vitiligo has a significant psychosocial impact, thus clinicians should actively evaluate the mental health of these patients with the use of screening tools such as HADS and provide appropriate referrals and management.
METHODS: The PubMed, PsycInfo, Web of Science, Cochrane Library and Embase databases were initially searched from inception to 11 September 2023. Studies were included if they were published in English and had followed up subjects with clinically diagnosed SM for at least two years. The review followed the Preferred Reporting Items of Systematic Reviews and Meta-analyses guidelines and the protocol was registered with the Open Science Framework. The papers were assessed using the Quality Assessment with Diverse Studies tool.
RESULTS: This review screened 2,432 papers and assessed 18 studies. Seven case series studies were excluded from discussion because of the low number of subjects and the fact that their findings could not be generalized to wider populations. In the end, nine clinical cohorts and two case control studies were reviewed. These provided a total of 292 subjects and the sample sizes ranged from 11-49. The overall quality of the studies was moderate. The review found that 190 of the 243 subjects in the studies that reported recovery rates showed moderate or total improvement from SM during follow up. Other anxiety disorders were the most common psychiatric disorders later in life, although these results should be interpreted with caution. Older age at baseline and parental psychopathology might predict greater impairment, but further studies are needed to confirm these results.
CONCLUSIONS: Most subjects with SM recovered from this disorder during adolescence, but anxiety disorders were common in later life. Early detection and treatment are needed to prevent symptoms from persisting and other psychiatric disorders from developing.
METHODS: We performed a bibliometric analysis of Web of Science Core Collection for all years to determine the number of studies performed in each country that used an inventory or a questionnaire on aggression, anxiety, depression, borderline personality, narcissism, self-harm, shame, or childhood trauma. We conducted a simple observational analysis of distributions by countries to derive the main overall conclusions, assisted by ChatGPT to test its ability to summarise and interpret this type of information. We also carried out a study in Croatia to examine some psychometric properties of five commonly used questionnaires, using Cronbach's α coefficient and zero-order correlations.
RESULTS: We observed a concentration of research activity in a few high-income countries, primarily the United States and several European nations, suggesting a robust research infrastructure and a strong emphasis on studying psychological and psychiatric states within their population. In contrast, low- and middle-income countries were notably under-represented in research on psychological and psychiatric states, although the gap seems to be closing in some countries. Turkey, Iran, Brazil, South Africa, Mexico, India, Malaysia and Pakistan have been consistently contributing an increasing number of studies and catching up with the most research-intensive high-income countries. The national case study in Croatia confirmed adequate psychometric properties of the most frequently used questionnaires.
CONCLUSIONS: Addressing research gaps in low- and middle-income countries is crucial, because relying solely on research from high-income countries may not fully capture the nuances of psychological and psychiatric states within diverse populations. To bridge this gap, it is essential to prioritise mental health research in low-resource settings, provide training and resources to local researchers, and establish international collaborations. Such efforts can lead to the development of culturally valid questionnaires, an improved understanding of psychological and psychiatric states in diverse contexts, and the creation of effective interventions to promote mental well-being on a global scale.