This study evaluated the associations between depression, diabetes distress, glycemic control (HbA1c), and self-care behaviours in individuals with diabetes. Findings on these relationships have been inconsistent, highlighting the need for systematic evaluation. Data from 61 studies involving 19,537 participants conducted between 2001 and 2024 were analysed using random-effects models. Subgroup analyses examined variations by diabetes type, geographic location, and measurement tools. Heterogeneity was assessed using I² statistics. Depression and diabetes distress were significantly associated with poorer glycemic control (r = 0.23, 95 % CI [0.15 to 0.31], p < 0.001) and reduced self-care behaviours (r = -0.19, 95 % CI [-0.28 to -0.10], p < 0.001). Stronger correlations were observed in mixed diabetes populations (r = 0.35, 95 % CI [0.30 to 0.40], I² = 0 %) and in studies conducted in Europe (r = 0.28) and North America (r = 0.34). High heterogeneity (I² = 97.24 %) was identified. Depression and diabetes distress are associated with poorer glycemic control and reduced self-care behaviours. Findings highlight the need for standardized measures and longitudinal studies to explore mechanisms underlying these associations.

Background: The General Health Questionnaire (GHQ-12) is widely used for detecting psychiatric disorders, but its reliability across different populations remains to be determined. Objective: This meta-analysis aims to evaluate the reliability of GHQ-12 across varied cultural and demographic settings. Method: This meta-analysis evaluates the reliability of General Health Questionnaire [GHQ-12]’ across diverse populations, employing a systematic search strategy and rigorous inclusion criteria. This meta-analysis evaluates the General Health Questionnaire (GHQ-12) using a pre-registered protocol (CRD42023488436) to ensure unbiased results. Data from 20 studies published between 2016–2023 were analysed using a random-effects model, with quality assessment guided by COSMIN Risk of Bias and QUADAS-2. This study enhances our understanding of GHQ-12’s psychometric properties. Results: For the GHQ-12 subscales, Cronbach’s alpha coefficients were 0.72 (90% CI [0.68, 0.75]) for anxiety and depression, 0.82 (90% CI [0.79, 0.86]) for social dysfunction, and 0.72 (90% CI [0.68, 0.76]) for loss of confidence. However, the analysis showed substantial heterogeneity (I² = 90.04%), with significant variability in reliability estimates across different studies. The overall Cronbach’s alpha was 0.84 (95% Cl [0.810, 0.873]) with SE = 0.016 (90% CI [0.68, 0.82], p < .05), indicating moderate to high internal consistency. Quantifying heterogeneity revealed a substantial level (se = 0.0016, I² = 96.7%), signifying considerable variability in the reliability estimate among the studies. Results further show Cronbach’s alpha coefficients range from 0.82 to 0.85 (95% Cl [0.77, 0.86 to 0.81, 0.90]) for the GHQ 12 items. Conclusion: While reaffirming the GHQ-12’s utility in mental health assessment, our findings urge a more cautious and context-aware application of the questionnaire. The substantial heterogeneity and variability in reliability scores indicate a need for further research. Future studies should explore the reasons behind this variability, focusing on cultural, socio-economic, and methodological factors that might influence the GHQ-12’s reliability. This critical analysis underscores the need for a deeper understanding of the GHQ-12’s applicability and the importance of tailoring mental health assessment tools to specific population characteristics.

Background: Psychological distress is a critical concern in mental health, significantly impacting the quality of life across lifespan. Reliable and culturally adaptable assessment tools are essential for effective diagnosis and intervention. The Kessler Psychological Distress Scales (K‐10 and K‐6) are widely used for their efficiency and psychometric strength, but the reliability of K‐10 and K‐6 across different populations and settings remains to be determined.Objective: This study aims to evaluate the reliability generalization (RG) of the K‐10 and K‐6 scales across diverse demographic and cultural contexts, providing a comprehensive meta‐analysis of their performance.Method: A RG meta‐analysis was conducted using data from peer‐reviewed articles published between 2002 and 2024, sourced from databases such as Web of Science, Scopus, and ScienceDirect. The analysis included 48 studies that reported reliability measures like Cronbach’s α, focusing on the psychometric properties of the scales across various populations and settings.Results: The meta‐analysis revealed high internal consistency for both the K‐10 (mean α = 0.90, 95% confidence interval (CI) [0.88, 0.91]) and K‐6 (mean α = 0.84, 95% CI [0.80, 0.88]) scales. Reliability varied across different populations and languages. For the K‐10, the highest reliability was found among adolescents (α = 0.93) and carers (α = 0.91). The K‐10 demonstrated exceptional reliability in settings such as Australia (α = 0.97) and significant variability in Tanzania (α = 0.78). The K‐6 scale showed high reliability among outpatients (α = 0.89) and the general population (α = 0.87). The scales were adapted into multiple languages, including English, Chinese, Swahili, Farsi, Indonesian, Japanese, Hindi, and Portuguese, reflecting their global applicability and adaptability.Conclusion: The Kessler Psychological Distress Scales (K‐10 and K‐6) are reliable tools for measuring psychological distress in general and clinical populations. Their high reliability and adaptability across diverse settings highlight their value in clinical practice and research. These findings support the continued use and adaptation of these scales in global mental health assessments, emphasizing the importance of cultural and linguistic considerations.

The aim to examine the link between diabetes distress and depression in individuals with diabetes, assess the mediating role of psychological resilience in this relationship, and analyses if these relationships differ between Type 1 and Type 2 diabetes. The study utilized a cross-sectional design. A total of 181 (age 33–72 years, mean = 54.76 years, and SD = 9.05 years) individuals diagnosed with diabetes who were receiving treatment from State Specialist Hospitals in Okitipupa were selected for the study using the convenient sampling technique. The data were analysed using Pearson Multiple correlation and multi-group mediation analysis. The analyses were carried out with Smartpls and IBM/SPSS Version 28.0. The results revealed a significant positive correlation between diabetes distress and depression (r = .80, p < .05), suggesting that higher levels of diabetes distress were associated with increased depression scores. Additionally, psychological resilience partially mediated the relationship between diabetes distress and depression (b = − 0.10, p < .05), signifying that resilience played a crucial role in mitigating the impact of diabetes distress on depression. Furthermore, a multi-group analysis was conducted to explore potential differences between Type 1 and Type 2 diabetes subgroups. The relationship between diabetes distress and depression was found to be more pronounced in the Type 1 subgroup (difference = 0.345, p < .05), while the relationship between psychological resilience and depression was negatively stronger in the Type 2 subgroup (difference = − 0.404, p < .05) compared to the Type 1 subgroup. There is an intricate linkage between diabetes distress, resilience, and depression, emphasizing the differential roles of resilience in Type 1 and Type 2 diabetes. The insights gleaned from this study underscore the importance of considering the type of diabetes when designing interventions and support mechanisms for individuals with diabetes who are also suffering from depression. By advancing our understanding of these dynamics, we can strive for more effective and personalized approaches to improve the overall well-being of those living with diabetes.

Background: Depression is a leading cause of disability worldwide, requiring reliable and adaptable screening tools. The Patient Health Questionnaire- 9 (PHQ- 9) is widely used, yet its reliability across diverse populations and cultural adaptations remains unclear. Objective: This meta-analysis assessed the reliability generalization of the PHQ- 9 across different populations, settings, and cultural contexts to determine its applicability in global mental health assessments. Methods: A reliability generalization (RG) meta-analysis was conducted on 60 studies with 232,147 participants. A random-effects model was used to estimate pooled internal consistency (Cronbach’s α) and test–retest reliability. Subgroup analyses examined the effects of administration modes, cultural adaptations, and study settings. Results: The pooled Cronbach’s α was 0.86 (95% CI [0.85, 0.87]), indicating high internal consistency. Test–retest reliability, based on eight studies, was 0.82 (95% CI [0.74, 0.90]). Self-administered formats had the highest reliability (α = 0.87), while face-to-face interviews were lower (α = 0.80). Substantial heterogeneity (I² = 99.3%) was observed. Conclusions: The PHQ- 9 is a reliable depression screening tool globally, but significant heterogeneity highlights the need for continued cultural adaptation and validation to enhance its applicability across diverse contexts.

Purposes: The study examined the mediation moderated effects of spiritual intelligence and mindfulness on the relationship between emotional dysregulation, depression and mental well-being. It also investigated the mediating effects of mindfulness on the relationship between spiritual intelligence and mental well-being in persons with diabetes.Methods: A cross-sectional survey was carried out among 636 (age 32–74 years; mean = 40.31; SD = 8.40) people living with diabetes who are registered patients and were attending the clinic in Department of Endocrinology, Ondo State Specialist Hospital, Okitipupa and Federal Medical Centre, Lokoja. The data were analysed using Pearson Multiple correlation and mediation moderated model 29 and mediation model 4 of PROCESS macro. The analyses were carried out with PROCESS macro for IBM/SPSS Version 25.0.Results: Showed significant and positive direct relationship between depression on mental well-being of person with diabetes, β = 0.39, 95 % CI (0.29, 0.48). Results showed mindfulness (β = 0.00, 95 % CI: 0.00, 0.00) and spiritual intelligence (β = -0.01, 0.00, 95 % CI: -0.01, -0.01) significantly moderated the existing direct relationship between depression and mental well-being of persons with diabetes Results showed significant and positive indirect relationship between depression and mental well-being via emotional dysfunctional of persons with diabetes, β = 0.46, 95 % CI (0.44, 0.48). Results showed mindfulness (β = -0.02, 95 %, CI; -0.03, -0.02) and spiritual intelligence (β = -0.00, 95 %, CI: 00.00, -0.01) significant moderated the existing indirect relationship between depression and mental well-being occurred via emotional dysfunctional of persons with diabetes. Results showed significant direct relationship between spiritual intelligence and mental well-being of persons with diabetes, β = -0.12, 95 %, CI: (0.09, 0.16). Results showed mindfulness significantly mediates the existing direct relationship between spiritual intelligence and mental well-being of persons with diabetes, β = -0.11, 95 %, CI: (0.08, 0.15). Results also significant direct relationship between spiritual and mindfulness of persons with diabetes, β = 0. 0.25, 95 % CI: 0.18, 0.31).Conclusion: Emotional dysregulation play mediating role of the association between depression and mental well-being of persons with diabetes was moderated by spiritual intelligence and mindfulness. Therefore, the study concludes that pay attention spiritual intelligence and mindfulness in management of diabetes will enhance mental well-being of persons with diabetes.