METHODS: MEDLINE (National Library of Medicine, Bethesda, MD), EMBASE (Elsevier, Amsterdam, Netherlands), PsycInfo (American Psychological Association, Washington, DC), and Cochrane Library (John Wiley & Sons, Hobken, NJ, USA) were searched on August 1, 2020 without language and date limitation. The Cochrane Risk of Bias tool for randomized controlled trials and the Risk of Bias in Non-Randomized Studies - of Interventions (ROBINS-I) (Cochrane, London, UK) were used to assess the quality of the studies included. SPSS (IBM Corp., Endicott, NY, USA) was used for descriptive, comparative, and correlational summaries.

RESULTS: From 376 articles, only 9 studies met the criteria and were included after screening. The most common outcome was knowledge improvement, followed by increased confidence, and competence. Other outcomes encompassed Attitude, preparedness, and therapeutic engagement.

METHODS: A comprehensive literature search was conducted using multiple databases including PubMed-Medline, EMBASE, ProQuest central, CINAHL and Scopus to identify relevant studies published between 2010 and 2021 that focused on barriers and/or facilitators to seeking help for depression, anxiety, and psychological distress among older adults aged 65 years or older. Studies' risk of bias was assessed using the Newcastle-Ottawa Scale and results of studies were synthesized guided by the methodological framework of Rodgers and colleagues.

RESULTS: A total of eight cross-sectional studies, from Australia, United States, Mexico, Netherlands, and Malaysia met the inclusion criteria for this review. Included studies reported that the majority of their participants had anxiety or depression, yet they exhibited a preference for informal mental health help over professional help. Stigma, negative beliefs about mental health professional services, and cost were the most reported barriers. Main reported facilitators were prior positive experience with mental health services and high socioeconomic status.

CONCLUSION: Older adults are in need of interventions normalizing mental health help seeking and ensuring these services are accessible in terms of costs. This should be the focus of policy makers, healthcare providers, and public health practitioners working with older adults.

METHODS: A systematic literature search was performed in April 2021 searching PubMed, Psychology and Behavioural Science Collection, Web of Science, ERIC, and Scopus for systematic reviews and meta-analyses on digital mental health interventions targeting university students. The review protocol was registered in the International Prospective Register of Systematic Reviews PROSPERO [CRD42021234773].

RESULTS: The initital literature search resulted in 806 records of which seven remained after duplicates were removed and evaluated against the inclusion criteria. Effectiveness was reported and categorized into the following six delivery types: (a) web-based, online/computer-delivered interventions (b) computer-based Cognitive Behavior Therapy (CBT), (c) mobile applications and short message service (d) virtual reality interventions (e) skills training (f) relaxation and exposure-based therapy. Results indicated web-based online/computer delivered-interventions were effective or at least partially effective at decressing depression, anxiety, stress and eating disorder symptoms. This was similar for skills-training interventions, CBT-based intervention and mobile applications. However, digital mental health interventions using virtual reality and relaxation, exposure-based therapy was inconclusive. Due to the variation in study settings and inconsistencies in reporting, effectiveness was greatly dependent on the delivery format, targeted mental health problem and targeted purpose group.

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.

METHODS: Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) were used to report the data for this review. To gather research from the literature, we used recognized academic and scientific databases such SportsDiscus with Full Text, PsycINFO, Cochrane, Scopus, PubMed, and Web of Science. The systematic review only included 22 studies out of the 1,463 that matched all inclusion criteria. The PEDro scale was used to rate each study's quality. 22 research received scores between 3 and 7.

RESULTS: Latin dance has been demonstrated to promote physical health by helping people lose weight, improve cardiovascular health, increase muscle strength and tone, and improve flexibility and balance. Furthermore, Latin dance can benefit mental health by reducing stress, improving mood, social connection, and cognitive function.

CONCLUSIONS: Finding from this systematic review provide substantial evidence that Latin dance has effect on physical and mental health. Latin dance has the potential to be a powerful and pleasurable public health intervention.