Detecting psychometric and diagnostic performance of the RU_SATED v2.0 multidimensional sleep health scale in community-dwelling adults combining exploratory graph analysis and ROC analysis DOI
Runtang Meng,

Nongnong Yang,

Yi Luo

и другие.

General Hospital Psychiatry, Год журнала: 2024, Номер 92, С. 75 - 83

Опубликована: Дек. 3, 2024

Язык: Английский

Mental health during and after the COVID-19 pandemic – a longitudinal study over 42 months in five European countries DOI Creative Commons
Irina Zrnić Novaković, Dean Ajduković, Marina Ajduković

и другие.

European journal of psychotraumatology, Год журнала: 2025, Номер 16(1)

Опубликована: Апрель 22, 2025

Background: The mental health impact of the COVID-19 pandemic is well documented. However, only a few studies investigated in later phases and after its official end. Moreover, little known about people's psychological burden related to other global crises post-pandemic.Objective: Study's first objective was compare outcomes general population over course ten months post-pandemic. second explore regarding pandemic, comparison current wars, climate crises, inflation, poor government management and/or corruption post-pandemic era.Method: Participants from Austria, Croatia, Germany, Greece, Portugal (68.8% female, Mage = 41.55) were assessed online up four times between June 2020 March 2024 (baseline sample: N 7913). Adjustment Disorder New Module - 8 (ADNM-8), Patient Health Questionnaire (PHQ-2), World Organization-Five Well-Being Index (WHO-5) used measure adjustment disorder, depression, well-being. Prevalence rates calculated repeated measures ANOVAs applied assess at time points. One-way ANOVA run how different participants' burden.Results: Temporal variations evident across assessment waves, with highest levels probable disorder depression winter 2020/2021 (T2). A slight improvement found Current wars inflation greatest sources assessment, revealing some cross-country differences.Conclusion: Although differences not as pronounced acute phase psychosocial support still needed This likely be due that take toll on health.

Язык: Английский

Процитировано

0

A longitudinal examination of the measurement properties and invariance of the Sleep Condition Indicator in Chinese healthcare students DOI Creative Commons
Runtang Meng,

Yiwei Ying,

Yi Luo

и другие.

BMC Psychiatry, Год журнала: 2024, Номер 24(1)

Опубликована: Июль 22, 2024

Abstract Background The Sleep Condition Indicator (SCI), an insomnia measurement tool based on the updated Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria with sound psychometric properties when applied in various populations, was evaluated here among healthcare students longitudinally, to demonstrate its invariance this particularly high-risk population. Methods Healthcare a Chinese university were recruited into two-wave longitudinal study, completing simplified version SCI (SCI-SC), Regularity, Satisfaction, Alertness, Timing, Efficiency, Duration (RU_SATED-C) scale, Patient Health Questionnaire-4 (PHQ-4-C), sociodemographic variables questionnaire (Q-SV) between September November 2022. Structural validity, (MI), convergent discriminant internal consistency, test–retest reliability SCI-SC examined. Subgroups gender, age, home location, part-time job, physical exercise, stress-coping strategy surveyed twice test cross-sectional MI. Results We identified 343 valid responses (62.9% female, mean age = 19.650 ± 1.414 years) time interval seven days. two-factor structure considered satisfactory (comparative fit index 0.953–0.989, Tucker–Lewis 0.931–0.984, root means square error approximation 0.040–0.092, standardized residual 0.039–0.054), which mostly endorsed strict except for job subgroups, hence establishing invariance. presented acceptable validity RU_SATED-C scale ( r ≥ 0.500), PHQ-4-C (0.300 ≤ < consistency (Cronbach’s alpha 0.811–0.835, McDonald’s omega 0.805–0.832), (intraclass correlation coefficient 0.829). Conclusion is appropriate screening instrument available assessing symptoms students, promising provide additional evidence about detecting students.

Язык: Английский

Процитировано

0

Detecting psychometric and diagnostic performance of the RU_SATED v2.0 multidimensional sleep health scale in community-dwelling adults combining exploratory graph analysis and ROC analysis DOI
Runtang Meng,

Nongnong Yang,

Yi Luo

и другие.

General Hospital Psychiatry, Год журнала: 2024, Номер 92, С. 75 - 83

Опубликована: Дек. 3, 2024

Язык: Английский

Процитировано

0