METHODS: A cross-sectional study was carried out on medical students in a public medical school. DASS-21, the neuroticism-subscale of USMaP-i and SAS-SV were administered to measure psychological distress, neuroticism, and smartphone addiction of the medical students. Spearman correlation was performed to examine the correlation between smartphone addiction with psychological distress and neuroticism. Simple linear regression was performed to investigate relationship factors of smartphone addiction.
RESULTS: A total of 574 medical students participated in this study. The prevalence of smartphone addiction was 40.6%. It was higher among male (49.2%) compared to female (36.6%) medical students. The result showed a fair positive correlation between smartphone addiction and psychological health (rdepression = 0.277, p-value
METHODS: Thirty patients requiring aesthetic restorative dental treatment completed three questionnaires, namely 1) a pre-treatment expectation assessment, 2) an SCL-90-R analysis pre-treatment and 3) an outcome assessment post-treatment to assess patient's expectations and satisfaction of the proposed dental treatment relating to function, aesthetics, comfort and tissue preservation. Logistic regression models were used to assess the impact of psychological variables on patient satisfaction after adjusting for baseline expectations (P
METHODS: We conducted a phenomenological study on medical students at a public university. We utilized focus group discussions (FGDs) to investigate their experiences of TA. The FGDs were transcribed verbatim, and these transcripts were analyzed using Atlas.ti software. The thematic analysis followed the recommended guidelines.
RESULTS: Seven FGD sessions were conducted with 45 students. Three major themes emerged: the students, their academic resources, and the examiner. Each theme comprised mutually exclusive subthemes. The "students" theme was divided into negative vs. positive thoughts and self-negligence vs. self-care, "academic recources" into heavy curriculum vs. facilitative curricular aids, and "examiner" into criticism vs. feedback and strict vs. kind approaches.
CONCLUSION: This study provides a solid foundation for policymakers and decision makers in medical education to improve current assessment practices and student well-being. Medical students will be able to significantly alter and reduce TA if they are provided with additional psychological support and their examiners are trained on how to deal with examinees.
METHODS: Among 186 participants (M/F = 51/135; aged 22.1 ± 5.0), psychometrics were assessed using Power of Food Scale (PFS), Brief Self-Control Scale, CD Questionnaire (CD-Quest), and WHO-5 Well-being Index. Blood pressures, anthropometrics and body compositions were also measured using standard methods and bioimpedance.
RESULTS: Men had significantly higher well-being, but lower overall self-control, impulsivity and Food Available hedonic hunger. Those with moderate/severe CD had higher odds ratio (OR) of having high central adiposity, compared with those with absent/slight CD (OR: 2.52;95% CI: 1.14, 5.61; p = 0.023 for WC and OR: 2.50; 95% CI: 1.19, 5.23; p = 0.015 for WHR). Higher CD and PFS scores were strongly significantly correlated with higher systolic blood pressure (SBP), WC, WHR, WHtR, BMI, TBF, SF, VFL and RM. Lower self-control was weakly correlated with higher WC, while lower impulsivity and restraint were weakly correlated with higher VFL. Those who were overweight, obese, and in high TBF class had significantly higher PFS Aggregate Factor scores. Food Available and Food Present scores, but not Food Tasted, were also significantly higher among overweight participants.
CONCLUSIONS: Higher hedonic hunger and CD were associated with higher SBP and all adiposity measures. Overweight participants had higher hedonic hunger in the context of ready availability and physical presence of highly palatable foods. Lower self-control was weakly correlated with higher central adiposity; lower impulsivity and restraint were weakly correlated with higher visceral adiposity. These findings have provided some insights into the cognitive factors underlying adiposity.
METHODS: Following PRISMA guidelines, we conducted search over six databases, including Scopus, PubMed, etc., between November 4, 2021 and November 11, 2021 for studies that investigated how SEC indicators predict emotional health risks during Covid-19, after obtaining approval from PROSPERO (ID: CRD42021288508). Using Covidence as the platform, 362 articles (324 cross-sectional/repeated cross-sectional and 38 longitudinal) were included in this review according to the eligibility criteria. We categorized SEC indicators into 'actual versus perceived' and 'static versus fluid' classes to explore their differential effects on emotional health.
RESULTS: Out of the 1479 SEC indicators used in these 362 studies, our results showed that 43.68% of the SEC indicators showed 'expected' results (i.e., higher SEC predicting better emotional health outcomes); 51.86% reported non-significant results and 4.46% reported the reverse. Economic concerns (67.16% expected results) and financial strains (64.16%) emerged as the best predictors while education (26.85%) and living conditions (30.14%) were the worst.
CONCLUSIONS: This review summarizes how different SEC indicators influenced emotional health risks across 98 countries, with a total of 5,677,007 participants, ranging from high to low-income countries. Our findings showed that not all SEC indicators were strongly predictive of emotional health risks. In fact, over half of the SEC indicators studied showed a null effect. We found that perceived and fluid SEC indicators, particularly economic concerns and financial strain could best predict depressive and anxiety symptoms. These findings have implications for policymakers to further understand how different SEC classes affect mental health during a pandemic in order to tackle associated social issues effectively.
METHODS: A total of 351 participants (Mage = 19.75, SDage = 3.29) were recruited in the study using purposive sampling. Confirmatory factor analysis was conducted to examine the factorial structure of the Family Resilience Scale-Malay (FRS-Malay) and measurement invariance between adolescents and young adults. Then, the scale's reliability was investigated using Cronbach's alpha, McDonald's omega coefficients, and composite reliability index. Finally, we examined the discriminant validity of the FRS-Malay by correlating its score with individual resilience score and examined the incremental validity of the scale using hierarchical multiple regression analysis to test if family resilience can explain individual well-being levels beyond and above individual resilience.
RESULTS: The findings of the confirmatory factor analysis suggest that a single-factor model is supported for both age groups. Furthermore, the scale exhibited scalar invariance between adolescents and young adults. The scale also exhibited good reliability, as the value of Cronbach's alpha, McDonald omega coefficients, and composite reliability index were above 0.80. Additionally, the Pearson correlation analysis showed a positive correlation between the FRS-Malay and individual resilience scores, which supports the discriminant validity of the scale. Similarly, the incremental validity of the scale is also supported. Specifically, family resilience had a positive correlation with well-being, even after controlling for individual resilience in the regression analysis.
CONCLUSIONS: The FRS-Malay has demonstrated good reliability and validity. The scale measures the same construct of family resilience across adolescents and young adults, making it suitable for comparisons. Therefore, this unidimensional tool is appropriate for self-reporting their perceived level of family resilience. It is also useful for studying the development and fluctuation of family resilience in the Malaysian context.
METHODS: To address the research gap, the present research made an attempt to investigate the crucial role of social media in affecting students' psychological (PWB) and subjective well-being (SWB) by testing the mediating role of self-esteem and online social support and the moderation effect of cyberbullying. The data in the study were obtained from a sample of 1,004 college students (483 females and 521 males, Mage = 23.78, SD = 4.06) enrolled at 135 Chinese universities. AMOS 26.0 and SPSS 26.0 as well as the Process macro were utilized for analyzing data and testing the moderated mediation model.
RESULTS: Findings revealed that social media usage by university students was positively associated with their PWB and SWB through self-esteem and online social support, and cyberbullying played a moderating role in the first phase of the mediation process such that the indirect associations were weak with cyberbullying reaching high levels.
CONCLUSION: These findings highlight the importance of discerning the mechanisms moderating the mediated paths linking social media usage by young adults to their PWB and SWB. The results also underline the importance of implementing measures and interventions to alleviate the detrimental impacts of cyberbullying on young adults' PWB and SWB.
METHODS: A group of healthcare university students completed the RSES across three waves: baseline, 1-week follow-up, and 15-week follow-up. A total of 481 valid responses were collected through the three-wave data collection process. Exploratory factor analysis (EFA) was performed on the baseline data to explore the potential factorial structure, while confirmatory factor analysis (CFA) was performed on the follow-up data to determine the best-fit model. Additionally, the cross-sectional and longitudinal measurement invariances were tested to assess the measurement properties of the RSES for different groups, such as gender and age, as well as across different time points. Convergent validity was assessed against the Self-Rated Health Questionnaire (SRHQ) using Spearman's correlation. Internal consistency was examined using Cronbach's alpha and McDonald's omega coefficients, while test-retest reliability was assessed using intraclass correlation coefficient.
RESULTS: The results of EFA revealed that Items 5, 8, and 9 had inadequate or cross-factor loadings, leading to their removal from further analysis. Analysis of the remaining seven items using EFA suggested a two-factor solution. A comparison of several potential models for the 10-item and 7-item RSES using CFA showed a preference for the 7-item form (RSES-7) with two factors. Furthermore, the RSES-7 exhibited strict invariance across different groups and time points, indicating its stability and consistency. The RSES-7 also demonstrated adequate convergent validity, internal consistency, and test-retest reliability, which further supported its robustness as a measure of self-esteem.
CONCLUSIONS: The findings suggest that the RSES-7 is a psychometrically sound and brief self-report scale for measuring self-esteem in the Chinese context. More studies are warranted to further verify its usability.
METHODS: We Searched China National Knowledge Infrastructure Database, Wan fang Database, CQVIP Journal Database、Web of Science Core Collection, Elsevier SD, Springer Online Journals, Medline, EBSCO-ERIC, SAGE Online Journals, PsycINFO, PsycArticles and ProQuest Dissertations and Theses。85 studies (90 independent effect size) were included from 2016 to 2023。The pooled correlation coefficient of the association between fear of missing out and mobile phone addiction was calculated by a random effects model using Comprehensive Meta-Analysis(Version 3.3).
RESULTS: The main effect analysis revealed a high positive correlation between fear of missing out and mobile phone addiction (r = 0.47, 95%CI [0.44, 0.50]). Furthermore, the measurements of mobile phone addiction moderated the strength of the association between fear of missing out and mobile phone addiction, with the highest correlation measured using MPATS and the lowest correlation measured using MPDQ. The age, gender, year of publication, cultural background, and the measurements of fear of missing out had no significant effect on the correlation between fear of missing out and mobile phone addiction.
CONCLUSION: The results indicated that fear of missing out was closely related to mobile phone addiction, which complied with the I-PACE model. Psychological services and mental health services should be developed to reduce the emergence of fear of missing out in the digital age and thus alleviate dependence on devices.
METHODS: To scrutinize the moderation-mediation nexus between cultural context and social development, a distribution of 500 questionnaires was administered to Chinese university students, yielding 413 responses, corresponding to an 82.6% response rate. Methodologically, this study employed moderation and mediation analyses, incorporating statistical techniques such as a principal component matrix, factor analysis, and hierarchical regression.
FINDINGS: Prominent findings underscore the significant impact of age on educational progress, shaping the trajectory of academic advancement. Cumulative Grade Point Average (CGPA) emerges as a promising metric, establishing a link between academic performance and educational progress. Active involvement in sports and physical activities (PSPA) positively affects academic performance and study habits. Participation in sports teams and clubs (ISTC) enriches social development by nurturing interpersonal relationships, teamwork, and leadership skills. Sports activities (ESA) correlate with enhanced cognitive focus and improved psychological well-being. Significantly, the findings unveil a nuanced association between Perceived Social Development Through Sports (PSDTS) and educational progress.
CONCLUSIONS: Cultural Context (CC) moderates PSDTS, Sport-induced Cognitive Focus (SICF), and PWB, influencing educational progress. This study emphasizes the need for enhanced support systems-academic guidance, awareness, sports programs, and cultural competence training-to advance student well-being and academic achievement in China, fostering an empowering educational environment for societal progress.
METHODS: Structural Equation Modeling (SEM) is utilized for analysis, enabling the creation of a metric set to explore intangibles such as perfectionism, learning self-efficacy, motivation, study habits, cultural influences, and introspection. The research utilizes a diverse sample from multiple universities across different regions of China, incorporating demographic factors to encompass the varied characteristics within the EFL learner community.
RESULTS: Results reveal that perfectionism (β = 0.30, p
METHODS: Data from 21,439 expatriates were extracted from COVIDiSTRESS global survey. The outcome variable was perceived stress. The explanatory variables were age, perceived loneliness, trust (interpersonal and institutional). Pairwise correlation, and structural equation modelling were used to determine relationship among outcome and explanatory variables.
RESULTS: The majority of the expatriates were female (73.85%), married (60.20%), had college degree (47.76%), and employed (48.72%). Over 63% of the total expatriates reported that the COVID-19 pandemic changed their lives. The average age of the respondents was 40.4 years (± 13.7), and the average score of perceived stress, loneliness, interpersonal and institutional trust were 25.5, 7.4, 14.2 and 40.4, respectively. We found a moderate correlation of perceived stress with age, perceived loneliness, interpersonal trust and institutional trust (p
METHODS: 927 adolescents (474 boys, 453 girls; age M = 13.2 years) completed measures of procrastination and ethnic identity, and reported their ethnicity (Kanak vs. Polynesian vs. European). Sociodemographic data (sex, age, area of residence and socioeconomic status) were also collected.
RESULTS: An analysis of variance indicated significant ethnic (Kanak and Polynesian adolescents had higher procrastination than European adolescents) and sex differences (girls had higher procrastination than boys), but no significant interaction. Regression analysis showed that higher procrastination was significantly associated with sex, ethnicity, age, and the interaction between ethnicity and ethnic identity. Moderation analysis showed that ethnic identity moderated the relationship between ethnicity and procrastination, but only in Kanak adolescents.
CONCLUSION: Relatively high levels of procrastination were observed in Kanak and Polynesian adolescents, and in girls. These findings, while preliminary, may have important implications for academic attainment in the New Caledonian context.
METHODS: A total of 604 adolescent basketball players, comprising 301 (49.8%) males and 303 (50.2%) females aged between 12 and 19 (M = 15.53, SD = 1.42), were recruited from secondary schools across 17 cities in Shandong Province, China, to answer the questionnaire, which measured their views on 29 items through a six-point Likert scale. The SSS was translated into Chinese language (SSS-C) using forward-backward translation techniques. Confirmatory Factor Analysis (CFA) was performed using Mplus 8.0 software to assess the structural validity of SSS-C. The reliability and convergent validity were also evaluated.
RESULTS: CFA results demonstrated an excellent fit to the hypothesized six-factor model based on the fit indices (CFI = 0.997, TLI = 0.997, RMSEA = 0.016 [90% CI: 0.005, 0.022], SRMR = 0.018). All items displayed significant factor loadings above 0.40, supporting the robustness of the model. The SSS-C exhibited high internal consistency reliability (Cronbach's α ranged from 0.95 to 0.96; Composite Reliability ranged from 0.95 to 0.96) and strong convergent validity (Average Variance Extracted values > 0.50).
CONCLUSION: The SSS-C with 29 items was a valid and reliable instrument for comprehensively assessing sport success among Chinese adolescent athletes. The multidimensional approach of the SSS-C provides a new perspective for understanding the psychological factors contributing to athletes' success, which can inform the development of targeted interventions.
METHODS: The current study employed a cross-sectional design involving 618 college athletes (354 females, mean age 20.57 years), comprising 303 participants in individual sports and 315 in team sports. These participants completed the Sport Anxiety Scale-2 (SAS-2), the Athlete Burnout Questionnaire (ABQ), and the Basic Psychological Need Satisfaction Scale in General (BPNSS-G) online. Subsequently, correlation, regression, and mediation analyses were conducted using SPSS and JASP to examine the relationships between the variables.
RESULTS: Regression results indicated that somatic anxiety (beta = 0.116, t = 2.21, p = 0.028) and concentration disruption (beta = 0.259, t = 5.35, p