METHODS: The cross sectional study was conducted on the sample recruited from three drug treatment centers in Pakistan. Face-to-face interviews were conducted with participants who met ICD-10 criteria for prescription drug dependence. Several aspects like substance use histories, negative health outcomes, patient attitude, pharmacy and physician practices also collected to predict the determinants of (PDD). Binomial logistic regression models examined the factors associated with PDD and PIDU.

RESULTS: Of the 537 treatment seeking individuals interviewed at baseline, close to one third (178, 33.3%) met criteria for dependence on prescription drugs. The majority of the participants were male (93.3%), average age of 31 years, having urban residence (67.4%). Among participants who met criteria for dependence on prescription drugs (71.9%), reported benzodiazepines as the most frequently used drug, followed by narcotic analgesics (56.8%), cannabis/marijuana (45.5%), and heroin (41.5%). The patients reported alprazolam, buprenorphine, nalbuphine, and pentazocin use as alternatives to illicit drugs. PDD was significantly negatively associated with injectable route (OR = 0.281, 95% CI, 0.079-0.993) and psychotic symptoms (OR = 0.315, 95% CI, 0.100, 0.986). This implies that PDD is less likely to be associated with an injectable route and psychotic symptoms in contrast to PIDU. Pain, depression and sleep disorder were primary reasons for PDD. PDD was associated with the attitude that prescription drugs are safer than illicit drugs (OR = 4.057, 95%CI, 1.254-13.122) and PDD was associated with being on professional terms (i.e., having an established relationship) with pharmaceutical drugs retailers for acquisition of prescription drugs.

METHODS: SRs of the efficacy of family-centered interventions on perinatal depression were systematically searched in nine databases. The retrieval period was from the inception of the database to December 31, 2022. In addition, two reviewers conducted an independent evaluation of the quality of reporting, bias risk, methodologies, and evidence using ROBIS (an instrument for evaluating the bias risk of SRs), Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), AMSTAR 2 (an assessment tool for SRs), and grading of recommendations, assessment, development and evaluations (GRADE).

RESULTS: A total of eight papers satisfied the inclusion criteria. In particular, AMSTAR 2 rated five SRs as extremely low quality and three SRs as low quality. ROBIS graded four out of eight SRs as "low risk." Regarding PRISMA, four of the eight SRs were rated over 50%. Based on the GRADE tool, two out of six SRs rated maternal depressive symptoms as "moderate;" one out of five SRs rated paternal depressive symptoms as "moderate;" one out of six SRs estimated family functioning as "moderate," and the other evidence was rated as "very low" or "low." Of the eight SRs, six (75%) reported that maternal depressive symptoms were significantly reduced, and two SRs (25%) were not reported.

METHODS: A cross-sectional study involving 143 participants was conducted at an urban teaching hospital, an urban government hospital, and a rural government hospital. Following the translation of the RKI, its internal reliability was determined using Cronbach's alpha. Construct validity was also determined using confirmatory factor analysis.

RESULTS: The Malay-Version RKI (RKI-M) has good internal reliability with a Cronbach's alpha of 0.83. However, the Malay-version RKI failed to replicate the original four-factor structure. The final model only achieved the best model fit after the removal of 9 items with two-factor loadings: (GFI = 0.92; AGFI = 0 0.87; CFI = 0.91; RMSEA = 0.074).

METHODS: This cross-sectional study recruited young people aged between 18 and 24 years from the low-income-group communities. A convenience sampling approach was used. Google Surveys were used to gather data from the survey. The questionnaire consisted of an assessment of demographic characteristics, lifestyle factors, parent-youth conflict (Parental Environment Questionnaire, PEQ), resilient coping (Brief Resilient Coping Scale, BRCS), and psychological distress (Depression, Anxiety, and Stress Scale-short form, DASS-21).

RESULTS: A total of 561 complete responses were received. The results showed a low level of parent-child conflict in the overall study population, with a median PEQ of 48.0 [interquartile range (IQR) 36-48]. Higher parent-child conflicts were found in females than in males (OR = 1.75, 95% CI 1.19-2.57) and in youth from households with an income below MYR 2000 than those earning MYR 3,001-5,000 (OR = 4.39, 95% CI 2.40-8.03). A low prevalence of depression (12.5%), anxiety (15.2%), and stress (6.4%) was found. Parent-child conflict remains the strongest significant predictor for higher levels of depression (OR = 10.90, 95% CI 4.31-27.57), anxiety (OR = 11.92, 95% CI 5.05-28.14), and stress (OR = 4.79, 95% CI 1.41-16.33) symptoms. Poor resilient coping was the second strongest predictor for depression and anxiety symptoms. Regarding lifestyle factors, a lower level of physical exercise was associated with higher symptoms of depression. By demographics, females reported more severe symptoms of depression and anxiety than males. Young people from low-income households reported greater severity in symptoms of depression, anxiety, and stress than those from high-income households. Young people who are employed also reported greater severity of anxiety symptoms than those who are unemployed.

METHODS: A systematic literature review was conducted to identify intervention research to reduce cyberbullying perpetration and victimization published from January 1995 to February 2022. Ten electronic databases-Cambridge Journal Online, EBSCOHOST, ERIC, IEEE XPLORE, Oxford Journal Online, ProQuest Dissertations and Theses, PubMed (Medline), Science Direct, Scopus, Springerlink-and a subsequent manual search were conducted. Detailed information was extracted, including the summary data that could be used to estimate effect sizes. The studies' methodological quality was assessed using the Effective Public Health Practice Project (EPHPP) quality assessment tool.

FINDINGS: Eleven studies were included in the review of the 2,540 studies identified through databases, and 114 additional records were discovered through citation searching. Only four studies were included in the meta-analysis, exploring game-based, skill-building, school-based, and whole-school interventions. The first meta-analysis pooled estimates from these four studies that assessed cyberbullying perpetration frequency using continuous data post-intervention. These studies reported data from 3,273 participants (intervention n = 1,802 and control n = 1,471). A small but not statistically significant improvement favoring the intervention group from pre- to post-intervention was shown by the pooled effect size, -0.04 (95% CI [-0.10,0.03], Z = 1.11, P = 0.27). The second meta-analysis included two qualified studies investigating cyberbullying victimization frequency using continuous data at post-intervention among 2,954 participants (intervention n = 1,623 and control n = 1,331). A very small but non-significant effect favoring the intervention group was discovered.

CONCLUSION: This research primarily highlights that the endeavor for cyberbullying intervention is still developing in the Asia-Pacific region, currently involving a limited set of stakeholders, settings, and delivery modes. Overall, meta-analyses of cyberbullying interventions conducted in the Asia Pacific found no significant effects in reducing cyberbullying perpetration and victimization.

METHODS: We quantified the directed information flow using partial directed coherence (PDC) and the topological networks by graph theory measures at four frequency bands (delta, theta, alpha, and beta). The PDC assesses the causal interactions between neuronal units of the brain network. Besides, the graph theory of the complex network identifies the topological structure of the network. Resting-state electroencephalogram (EEG) data were recorded for 66 patients with different severities of SAD (22 severe, 22 moderate, and 22 mild) and 22 demographically matched healthy controls (HC).

RESULTS: PDC results have found significant differences between SAD groups and HCs in theta and alpha frequency bands (p < 0.05). Severe and moderate SAD groups have shown greater enhanced information flow than mild and HC groups in all frequency bands. Furthermore, the PDC and graph theory features have been used to discriminate three classes of SAD from HCs using several machine learning classifiers. In comparison to the features obtained by PDC, graph theory network features combined with PDC have achieved maximum classification performance with accuracy (92.78%), sensitivity (95.25%), and specificity (94.12%) using Support Vector Machine (SVM).

METHODS: Initially, after 2 weeks of in-patient detoxification, 120 patients with alcohol use disorder will be randomized into three groups (VRET, ACT, and TAU control groups) via stratified permuted block randomization in a 1:1:1 ratio. Baseline assessment (t0) commences, whereby all the participants will be administered with sociodemographic, clinical, and alcohol use characteristics questionnaire, such as Alcohol Use Disorder Identification Test (AUDIT), Penn Alcohol Craving Scale (PACS), Hamilton Anxiety Rating Scale (HAM-A), and Hamilton Depression Rating Scale (HAM-D), while event-related potential (ERP) detection in electroencephalogram (EEG) will also be carried out. Then, 4 weeks of VRET, ACT, and non-therapeutic supportive activities will be conducted in the three respective groups. For the subsequent three assessment timelines (t1, t2, and t3), the alcohol use characteristic questionnaire, such as AUDIT, PACS, HAM-D, HAM-A, and ERP monitoring, will be re-administered to all participants.

DISCUSSION: As data on the effects of non-pharmacological interventions, such as VRET and ACT, on the treatment of alcohol craving and preventing relapse in alcohol use disorder are lacking, this RCT fills the research gap by providing these important data to treating clinicians. If proven efficacious, the efficacy of VRET and ACT for the treatment of other substance use disorders should also be investigated in future.

METHODS: This is a case report of an elderly single retired school principal with obsessive-compulsive personality traits who developed depression with psychotic symptoms after being isolated following the movement control order (MCO) during the COVID-19 pandemic. The social isolation led to feelings of loneliness and hopelessness. The patient's depressive symptoms worsened after he developed physical illnesses, such as eye floaters, that affected his daily activities. This caused him to have suicidal ideation to the extent that he attempted suicide by ingesting 90 mL of pesticide. Two weeks prior to the attempt, he updated his will and asked his friend to keep it. After the suicide attempt, he vomited and had diarrhea and epigastric pain. He called his friend, who brought him to the hospital emergency room (ER). He was resuscitated and subsequently admitted to the intensive care unit (ICU). After being medically stabilized, he was transferred to the psychiatric ward, where further treatment was administered for his depression. His depressive symptoms and suicidal ideation improved after he was administered antidepressants and psychotherapy.

RESULTS: The impact of the COVID pandemic has led to a surge in mental health issues such as anxiety and depression. The elderly are among the highest-risk groups of individuals to contract or die of COVID-19 infection, and they are also the most likely to develop mental health issues related to the pandemic. Furthermore, the risk of death by suicide is highest in this age group due to physical illness, social isolation, and the lack of a support system. This case also highlights the need for awareness of suicidal ideation screening among non-medical healthcare professionals and religious organizations to avoid the treatment gap.