METHODS: The National Health and Morbidity Survey (NHMS) 2017 (n = 8230) was used for analyses. It was a nationwide survey conducted in Malaysia. The dependent variables were measured by three risk behaviors (cigarette smoking, alcohol drinking and use of illicit drugs). Probit regressions were utilized to examine the effect of mental health on the probability of smoking, drinking and using illicit drugs. Demographic and lifestyle factors were used as the control variables. Truancy was identified as a mediating variable.
RESULTS: Anxiety, depression and suicidal ideation affected cigarette smoking, alcohol drinking and use of illicit drugs through mediation of truancy. After controlling for demographic and lifestyle factors, students with anxiety, depression and suicidal ideation were more likely to smoke, drink and use illicit drugs compared with their peers without any mental health disorders. Furthermore, the likelihood of consuming cigarettes, alcohol and illicit drugs was found to be higher among students who played truant than those who did not.
CONCLUSION: Mental health plays an important role in determining participation in risk behaviors among ethnic minority students in Malaysia. Public health administrators and schools have to be aware that students who suffer from mental health disorders are likely to indulge in risk behaviors.
OBJECTIVE: In this study, we investigated whether and how artificial intelligence chatbots facilitate the expression of user emotions, specifically sadness and depression. We also examined cultural differences in the expression of depressive moods among users in Western and Eastern countries.
METHODS: This study used SimSimi, a global open-domain social chatbot, to analyze 152,783 conversation utterances containing the terms "depress" and "sad" in 3 Western countries (Canada, the United Kingdom, and the United States) and 5 Eastern countries (Indonesia, India, Malaysia, the Philippines, and Thailand). Study 1 reports new findings on the cultural differences in how people talk about depression and sadness to chatbots based on Linguistic Inquiry and Word Count and n-gram analyses. In study 2, we classified chat conversations into predefined topics using semisupervised classification techniques to better understand the types of depressive moods prevalent in chats. We then identified the distinguishing features of chat-based depressive discourse data and the disparity between Eastern and Western users.
RESULTS: Our data revealed intriguing cultural differences. Chatbot users in Eastern countries indicated stronger emotions about depression than users in Western countries (positive: Pmental health (Pmental health support, emphasizing the importance of continued technical and policy-wise efforts to improve chatbot interactions for those in need of emotional assistance. Our data indicate the possibility of chatbots providing helpful information about depressive moods, especially for users who have difficulty communicating emotions to other humans.
MATERIAL AND METHODS: We performed literature search using 4 databases from Medline, Cinahl, PubMed and Scopus from inception up to March 15, 2021 and selected relevant cross-sectional studies. Publication bias was assessed using funnel plot. Random effects model was used to estimate the pooled prevalence while risk factors were reported in odds ratio (OR) with 95% CI.
RESULTS: We included 148 studies with 159,194 HCPs and the pooled prevalence for depression was 37.5% (95%CI: 33.8-41.3), anxiety 39.7(95%CI: 34.3-45.1), stress 36.4% (95%CI: 23.2-49.7), fear 71.3% (95%CI: 54.6-88.0), burnout 68.3% (95%CI: 54.0-82.5), and low resilience was 16.1% (95%CI: 12.8-19.4), respectively. The heterogeneity was high (I2>99.4%). Meta-analysis reported that both females (OR = 1.48; 95% CI = 1.30-1.68) and nurses (OR = 1.21; 95%CI = 1.02-1.45) were at increased risk of having depression and anxiety [(Female: OR = 1.66; 95% CI = 1.49-1.85), (Nurse: OR = 1.36; 95%CI = 1.16-1.58)]. Females were at increased risk of getting stress (OR = 1.59; 95%CI = 1.28-1.97).
CONCLUSION: In conclusion, one third of HCPs suffered from depression, anxiety and stress and more than two third of HCPs suffered from fear and burnout during the COVID-19 pandemic in Asia.
METHODS: A systematic review was performed for economic burden studies in schizophrenia using four electronic databases (Medline, EMBASE, PsycINFO, and EconLit) from inception to August 31, 2014.
RESULTS: A total of 56 articles were included in this review. More than 80% of the studies were conducted in high-income countries. Most studies had undertaken a retrospective- and prevalence-based study design. The bottom-up approach was commonly employed to determine cost, while human capital method was used for indirect cost estimation. Database and literature were the most commonly used data sources in cost estimation in high-income countries, while chart review and interview were the main data sources in low and middle-income countries. Annual costs for the schizophrenia population in the country ranged from US$94 million to US$102 billion. Indirect costs contributed to 50%-85% of the total costs associated with schizophrenia. The economic burden of schizophrenia was estimated to range from 0.02% to 1.65% of the gross domestic product.
CONCLUSION: The enormous economic burden in schizophrenia is suggestive of the inadequate provision of health care services to these patients. An informed decision is achievable with the increasing recognition among public and policymakers that schizophrenia is burdensome. This results in better resource allocation and the development of policy-oriented research for this highly disabling yet under-recognized mental health disease.
METHODS AND ANALYSIS: This is a community-based prospective cohort study using randomly selected households from the national census. A multistage sampling method was employed to obtain a total of 2496 older adults living in the rural Kuala Pilah district. The study is divided into two phases: cross-sectional study (baseline), and a longitudinal follow-up study at the third and fifth years. Elder mistreatment was measured using instrument derived from the previous literature and modified Conflict Tactic Scales. Outcomes of elder mistreatment include mortality, physical function, mental health, quality of life and health utilisation. Logistic regression models are used to examine the relationship between risk factors and abuse estimates. Cox proportional hazard regression will be used to estimate risk of mortality associated with abuse. Associated annual rate of hospitalisation and health visit frequency, and reporting of abuse, will be estimated using Poisson regression.
ETHICS AND DISSEMINATION: The study has been approved by the Medical Ethics Committee of the University of Malaya Medical Center (MEC Ref 902.2) and the Malaysian National Medical Research Register (NMRR-12-1444-11726). Written consent was obtained from all respondents prior to baseline assessment and subsequent follow-up. Findings will be disseminated to local stakeholders via forums with community leaders, and health and social welfare departments, and published in appropriate scientific journals and presented at conferences.
MATERIALS AND METHODS: A technology survey was completed by professionals (n = 36) attending O&M workshops in Malaysia. A revised survey was completed online by O&M specialists (n = 31) primarily in Australia. Qualitative data about technology use came from conferences, workshops and interviews with O&M professionals. Descriptive statistics were analysed together with free-text data.
RESULTS: Limited awareness of apps used by clients, unaffordability of devices, and inadequate technology training discouraged many O&M professionals from employing existing technologies in client programmes or for broader professional purposes. Professionals needed to learn smartphone accessibility features and travel-related apps, and ways to use technology during O&M client programmes, initial professional training, ongoing professional development and research.
CONCLUSIONS: Smartphones are now integral to travel with low vision or blindness and early-adopter O&M clients are the travel tech-experts. O&M professionals need better initial training and then regular upskilling in mainstream O&M technologies to expand clients' travel choices. COVID-19 has created an imperative for technology laggards to upskill for O&M tele-practice. O&M technology could support comprehensive O&M specialist training and practice in Malaysia, to better serve O&M clients with complex needs.Implications for rehabilitationMost orientation and mobility (O&M) clients are travelling with a smartphone, so O&M specialists need to be abreast of mainstream technologies, accessibility features and apps used by clients for orientation, mobility, visual efficiency and social engagement.O&M specialists who are technology laggards need human-guided support to develop confidence in using travel technologies, and O&M clients are the experts. COVID-19 has created an imperative to learn skills for O&M tele-practice.Affordability is a significant barrier to O&M professionals and clients accessing specialist travel technologies in Malaysia, and to O&M professionals upgrading technology in Australia.Comprehensive training for O&M specialists is needed in Malaysia to meet the travel needs of clients with low vision or blindness who also have physical, cognitive, sensory or mental health complications.