METHODS: A single-arm interventional pre-and post-pilot study was conducted on a sample of healthcare lecturers and workers who are involved in supervising healthcare students. A purposive sampling technique was used to recruit 50 healthcare educators in Malaysia. The program was conducted by trained facilitators and 31 participants completed a locally validated self-rated questionnaire to measure their self-efficacy and declarative knowledge in preventing suicide; immediately before and after the intervention.
RESULTS: Significant improvement was seen in the overall outcome following the intervention, mostly in the self-efficacy domain. No significant improvement was seen in the domain of declarative knowledge possibly due to ceiling effects; an already high baseline knowledge about suicide among healthcare workers. This is an exception in a single item that assesses a common misperception in assessing suicide risk where significant improvement was seen following the program.
CONCLUSION: The online Advanced C.A.R.E. Suicide Prevention Gatekeeper Training Program is promising in the short-term overall improvement in suicide prevention, primarily in self-efficacy.
METHODS: A three-month cross-sectional study was conducted using self-administered questionnaires, encompassing socio-demographic details, clinical characteristics, and the State-Trait Anxiety Inventory.
RESULTS: The mean age of the participants was 57 years old (SD ±10.098). Repeat mammograms consisted of 48.8% of the participants. One-third (35.7%) of them had a history of breast disease. Most participants (84.5%) did not have a positive family history of breast cancer. The proportion of participants with moderate and high anxiety levels was 41.8%. The cause of anxiety was mainly due to the fear of the results (69%), while familiarity with the procedure reduced anxiety among respondents. Socio-demographic and clinical factors were not significantly associated with anxiety levels. However, a statistically significant positive correlation was found between state and trait anxiety scores (r = 0.568, p = 0.001, n = 213).
LIMITATIONS: The urban setting and absence of questions on the location of origin in the study may have excluded data from the rural population. This may have prevented a true representation of the Malaysian population.
CONCLUSION: The findings suggest a better understanding of the procedures involved as well as the subsequent disease management would be beneficial in alleviating anxiety prior to, during, and post-mammogram.
METHOD: A cross-sectional study using convenience sampling recruited 230 caregivers of children with ASD aged 4 to 18 years from selected autism centres in Kuching, Sarawak. The caregivers completed the Aberrant Behaviour Checklist-2 and the Zarit Burden Interview.
RESULTS: Univariate analysis revealed a significant difference in caregiver burden for children with ASD receiving medications (p = 0.013), registered with the Social Welfare Department (p = 0.036), and having siblings with ASD (p = 0.046). About 40% of the children exhibited at least one domain of problem behaviour. More than half of the caregivers (53.9%) experienced burden, with the majority experiencing mild burden. Positive associations were seen between irritability (r = 0.458, p
METHODS: In this case-control study, we analyzed data on adult patients aged 18 years and above hospitalized for COVID-19 infection with matched hospitalized controls. The demographic, clinical data and anxiety measures using the Generalized Anxiety Disorder-7 questionnaire were analyzed using univariate and multivariate analysis.
RESULTS: 86.6% in the COVID-19 group had anxiety, significantly higher than 13.4% in the control group (p = 0.001). The COVID-19 group was significantly associated with the GAD-7 severity (p = 0.001). The number of COVID-19 patients in the mild, moderate, and severe anxiety groups was 48 (84.2%), 37 (86%), and 18 (94.7%), respectively. Multiple logistic regression showed significant predictors for anxiety, including COVID-19 diagnosis and neurological symptoms. Anxiety was found 36.92 times higher in the patients with COVID-19 compared to those without COVID-19 (OR 36.92;95% CI 17.09, 79.78, p = 0.001). Patients with neurological symptoms were at risk of having anxiety (OR 2.94; 95% CI 1.03, 8.41, p = 0.044).
DISCUSSION: COVID-19 patients experience a significant disruption in psychosocial functioning due to hospitalization. The burden of anxiety is notably high, compounded by a diagnosis of COVID-19 itself and neurological symptomatology. Early psychiatric referrals are warranted for patients at risk of developing anxiety symptoms.
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.
DISCUSSION AND CONCLUSION: The study found benzodiazepine and opioid dependence in sub sample of addiction treatment seekers. The results have implications for drug policy and intervention strategies for preventing and treating drug use disorders.
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.
CONCLUSION: Family-centered interventions may improve maternal depressive symptoms and family function, but not paternal depressive symptoms. However, the quality of methodologies, evidence, reporting, and bias of risk in the included SRs of family-centered interventions for perinatal depression was not satisfactory. The above-mentioned demerits may negatively affect SRs and then cause inconsistent outcomes. Therefore, SRs with a low risk of bias, high-quality evidence, standard reporting, and strict methodology are necessary to provide evidence of the efficacy of family-centered interventions for perinatal depression.
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).
CONCLUSION: The 20-item RKI-M is reliable but has poor construct validity. However, the modified 11-item Malay-version RKI is a more reliable measure as it has good construct validity, with room for future studies to examine the psychometric properties of the modified 11-item RKI among mental health care workers. More training on recovery knowledge should be done, and a simple worded questionnaire should be developed in keeping with local practitioners.
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.
DISCUSSION: The COVID-19 pandemic continues to have an unpredictable impact on the lives of vulnerable youth in low-income families that warrants attention in future advocacy efforts.
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.
SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/, identifier CRD42022313369.
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).
DISCUSSION: Based on the results, it can be concluded that the combination of graph theory features and PDC values may be considered an effective tool for SAD identification. Our outcomes may provide new insights into developing biomarkers for SAD diagnosis based on topological brain networks and machine learning algorithms.