Factor structure and diagnostic efficiency of the Myanmar version BDI-II among substance users

Sleep disturbance as a precursor to anxiety, depression, and PTSD among rural Kenyans: A cross-lagged panel analysis from a rural Kenyan interventional cohort

Sleep quality is essential to biopsychosocial functioning, yet there remains limited longitudinal research on sleep and mental or social well-being within low- or middle-income countries. This study utilised longitudinal cohort data from a community-based empowerment programme in Meru County, Kenya to assess cross-lagged correlations between sleep disturbance, social support, symptoms of depression, anxiety, and posttraumatic stress. Participants (n = 373; 92% women; age range 18-86 years) who reported more sleep disturbance at T1 reported significantly more symptoms of depression, anxiety, and PTSD, and significantly less social support at T2 (average 11 weeks later), controlling for all within-time correlations across measures, within-measure correlations across time, and sociodemographic background characteristics. The findings are consistent with research across high-income countries, underscoring the need for more contextualised research into sleep behaviours across low- and middle-income countries. The findings may inform interventions to increase mental and social well-being within Kenya.

Screening for depression in patients in treatment for alcohol use disorder using the Beck Depression Inventory-II and the Hopkins Symptom Checklist-10

Alcohol use disorder (AUD) and major depressive disorder (MDD) are prevalent disorders that often co-occur. The aim of the study was to investigate how the Beck Depression Inventory (BDI-II) and Hopkins Symptom Checklist (HSCL-10) perform as screening instruments for MDD in AUD patients in treatment. The study included 127 mainly AUD inpatients currently in treatment at rehabilitation clinics in Norway. Demographic and clinical variables were examined using questionnaires and clinical interviews. The factor structures of the BDI-II and HCSL-10 were examined, as well as internal consistency and receiver operating characteristic (ROC) curve analyses. The Mini International Neuropsychiatric Interview (M.I.N.I.) was used as standard for diagnosing MDD. In total, 14% of the participants were diagnosed with MDD. BDI-II factor analysis retrieved three factors; cognition, somatic complaints and affect, and factor analysis for the HSCL-10 retrieved two factors; depression and anxiety. The optimal cut-off for the BDI-II was 24.5 with sensitivity of 80% and specificity of 78%. For HSCL-10 the optimal cut-off was 2.35, giving sensitivity of 80% and specificity of 69%. Both the BDI-II and HSCL-10 may be clinically useful screening instruments for MDD in AUD patients. There was a tendency that the affect factor of the BDI-II and the depression factor of the HSCL-10 were slightly more suitable for identifying MDD than the other factors. Optimal cut-offs for both the BDI-II and the HSCL-10 in this patient group were higher than cut-offs commonly used in the general population.

COVID-19 and Depression: Prevalence and Risk Factors in Youth from Maharashtra, India

The COVID-19 pandemic and the ensuing lockdown have been a seismic shock for youth in India, elevating their risk of mental health problems like depression. This cross-sectional study sought to measure the point prevalence levels of depression in university students (ages 19–25 years) from Maharashtra, India, during the peak of the first wave of the pandemic and lockdown, through an online opt-in survey. The BDI-II was self-administered by 783 respondents (males = 243; females = 540). Results indicated overall mild levels of depression (mean BDI = 16.48) and high point prevalence, with 51.8% (n = 406) of the population being symptomatic, of which 16.3% had severe, 17.9% had moderate, and 17.8% had mild levels of depression. No association was found with age, gender, educational level of participants, period of hostel stay, education, and occupational level of parents. Overall percentages of symptomatic women were higher, suggesting the gendered effects of the pandemic. This study explored the symptomatology of depression wherein “sadness,” “changes in sleep patterns,” and “concentration difficulties” emerged as the most commonly experienced symptoms. Symptom expression was found to vary with intensity and gender. Symptomatic men experienced significantly more cognitive symptoms like self-criticalness, punishment feelings, thoughts about past failures, and changes in sleep patterns, while symptomatic women felt significantly high “loss of energy.” No significant gender differences were seen in the experience of cognitive-affective symptoms. Possible reasons are discussed. Further exploration of the experiences of youth is essential to understand the full gamut of the pandemic’s impact on them.