The relationship between trait mindfulness and resilience: A meta‐analysis

Personality and Mental Health, Год журнала: 2023, Номер 17(4), С. 313 - 327

Опубликована: Март 23, 2023

Abstract Resilience is a positive psychological resource that promotes health. Trait mindfulness was found to be related resilience. However, previous studies on this relationship have shown contradictory results. The current meta‐analysis explored the between trait and resilience based three‐level random‐effects model. A significant ( r = 0.385; p < 0.0001) revealed by analyzing 197 effect sizes from 103 studies. Furthermore, subsequent moderator analysis facet of (e.g., awareness, nonjudging) F (6, 190) 6.181; 0.001), measurement Mindful Attention Awareness Scale) (7, 191) 4.758; aspect family resilience) (5, 3.455; 0.05), Connor–Davidson (11, 185) 2.256; age (1, 150) 4.588; 0.05) acted as moderators. Overall, study confirmed resilience, suggesting people with higher levels were more likely findings provided insightful information for interventions targeted at improving

Язык: Английский

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The bridge symptoms of childhood trauma, sleep disorder and depressive symptoms: a network analysis

Child and Adolescent Psychiatry and Mental Health, Год журнала: 2023, Номер 17(1)

Опубликована: Июль 4, 2023

This study aimed to elucidate the characteristics of symptom network childhood trauma (CT) and sleep disorder (SD) in Chinese adolescents, with influence depressive symptoms taken into account.A total 1301 adolescent students were included, their CT, SD measured using Pittsburgh quality index (PSQI), Childhood Trauma Questionnaire-Short Form (CTQ-SF), The Patient Health Questionnaire-9 (PHQ-9), respectively. Central bridge identified based on centrality indices indices, Network stability was examined case-dropping procedure.In CT network, emotional abuse had highest values, two symptoms, i.e., disturbance also identified. In for SD, sleeping difficulty daily dysfunction appeared be potential symptoms. (excluding difficulty), abuse, symptoms.In this study, poor found central CT-SD structure among students, daytime as CT-SD-depression structure. Systemic multi-level interventions targeting may effective alleviating co-occurrence depression population.

Язык: Английский

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A network analysis of the long-term quality of life and mental distress of COVID-19 survivors 1 year after hospital discharge

Frontiers in Public Health, Год журнала: 2023, Номер 11

Опубликована: Июль 28, 2023

Objectives COVID-19 survivors suffer from persistent mental distress and impaired quality of life (QOL) after recovery the infection. However, symptom-symptom interaction between these psychological variables remained unexplored. The present study aimed to determine symptom network (depression, anxiety, sleep disturbance, fatigue, post-traumatic stress disorder) their association with QOL among 535 1 year hospital discharge. Methods 9-item Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, Chalder fatigue scale, Impact Event Scale-Revised, Pittsburgh Sleep Quality Index, 36-Item Short-Form Survey were applied measure depression, PTSD, disturbances, QOL, respectively. Two networks estimated using Gaussian graphical model. Network consisted symptoms central bridge symptoms. 2 additionally included which mostly related QOL. Results 60% experienced Uncontrollable excessive worry, psychomotor symptoms, intrusion, daytime dysfunction most Daytime (especially loss energy) served as across exhibited substantial Conclusion Our demonstrated several key that played a vital role in survivors. Prompt screening targeted interventions for might hold great promise preventing improving

Язык: Английский

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The comorbid network characteristics of anxiety and depressive symptoms among Chinese college freshmen

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

Опубликована: Апрель 19, 2024

Abstract Background This study aimed to investigate the interplay between anxiety and depressive symptoms in Chinese college freshmen using causal system perspective (CSP), which differs from traditional common cause (CCP) by providing an alternative explanation attributing comorbidity direct interactions among symptoms. Methods A convenience sample of 2,082 (39.51% male, M age = 18.61) a normal university completed Generalized Anxiety Disorder 7-Item Scale (GAD-7) Patient Health Questionnaire (PHQ-9). Network analysis was conducted evaluated as centrality, stability, node predictability, bridging features. Moreover, moderated network model (MNM) utilized detect moderation effects gender network. Results The exhibited characterized core “restlessness”, “lack energy”, “excessive worry about control”, well “fearfulness”, “sad mood”, “irritability”. Notably, nodes representing “uncontrollable worry” “difficulty relaxation” demonstrated highest predictive power. Gender did not exert any moderating on symptom Conclusion These results reinforce that certain or are more central than others, thus play vital role comorbid findings highlight underlying potential targeting consider future interventions.

Язык: Английский

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Which comes first? Comorbidity of depression and anxiety symptoms: a cross-lagged network analysis

Social Science & Medicine, Год журнала: 2024, Номер 360, С. 117339 - 117339

Опубликована: Сен. 11, 2024

Язык: Английский

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