Trends in Well-Being Among Youth in Australia, 2017-2022.

Importance: Little is known about temporal trends in children's well-being and how the COVID-19 pandemic may have influenced the well-being of young Australians. Certain demographic groups may be more vulnerable to experiencing declines in well-being. Objective: To examine well-being trends over 6 consecutive years among South Australian students and explore the influence of sociodemographic characteristics. Design, Setting, and Participants: Longitudinal analyses of annual (2017 to 2022) cross-sectional data of students in grades 4 through 9 (n = 40 392 to 56 897 per year) attending South Australian government schools from the Well-being and Engagement Collection (WEC) census. Exposures: Calendar year (2017-2022) and sociodemographic characteristics (sex, school grade, parental education, language spoken at home, residential region) from school enrollment records. Main Outcomes and Measures: Students self-reported life satisfaction, optimism, happiness, cognitive engagement, emotional regulation, perseverance, worry, and sadness. Results: Over 6 years (2017 to 2022), a total of 119 033 students (mean [SD] age, 12.1 y; 51.4% male) participated in this study. Most well-being measures declined over time, with consistent worsening of well-being from 2020 onward. For example, compared with 2017, sadness was 0.26 (95% CI, 0.25-0.27) points higher in 2020 (standardized mean difference [SMD], 0.27) and remained elevated by more than 0.26 points (SMD, 0.27) in 2021 and 2022. At almost every time point, greatest well-being was reported by students of male sex (except cognitive engagement and perseverance), in earlier school grades, with highest parental education, speaking a language other than English at home, and residing in outer regional and remote settings (for satisfaction, optimism, and emotional regulation). Sociodemographic differences in well-being were generally consistent over time; however, sex differences widened from 2020 for all indicators except cognitive engagement and perseverance. For example, between 2017 and 2022, sadness increased by 0.27 (95% CI, 0.25-0.29) more points among females than males (SMD, 0.28). Conclusions and Relevance: In this longitudinal analysis of annual census data, there were downward trends in students' well-being, especially since 2020. The largest sociodemographic disparities were observed for students of female sex, those in later school grades, and those with lowest parental education. Urgent and equitable support for the well-being of all young people, particularly those facing disparity, is imperative.

Systematic review and meta-analysis of the effectiveness of chatbots on lifestyle behaviours.

Chatbots (also known as conversational agents and virtual assistants) offer the potential to deliver healthcare in an efficient, appealing and personalised manner. The purpose of this systematic review and meta-analysis was to evaluate the efficacy of chatbot interventions designed to improve physical activity, diet and sleep. Electronic databases were searched for randomised and non-randomised controlled trials, and pre-post trials that evaluated chatbot interventions targeting physical activity, diet and/or sleep, published before 1 September 2022. Outcomes were total physical activity, steps, moderate-to-vigorous physical activity (MVPA), fruit and vegetable consumption, sleep quality and sleep duration. Standardised mean differences (SMD) were calculated to compare intervention effects. Subgroup analyses were conducted to assess chatbot type, intervention type, duration, output and use of artificial intelligence. Risk of bias was assessed using the Effective Public Health Practice Project Quality Assessment tool. Nineteen trials were included. Sample sizes ranged between 25-958, and mean participant age ranged between 9-71 years. Most interventions (n = 15, 79%) targeted physical activity, and most trials had a low-quality rating (n = 14, 74%). Meta-analysis results showed significant effects (all p < 0.05) of chatbots for increasing total physical activity (SMD = 0.28 [95% CI = 0.16, 0.40]), daily steps (SMD = 0.28 [95% CI = 0.17, 0.39]), MVPA (SMD = 0.53 [95% CI = 0.24, 0.83]), fruit and vegetable consumption (SMD = 0.59 [95% CI = 0.25, 0.93]), sleep duration (SMD = 0.44 [95% CI = 0.32, 0.55]) and sleep quality (SMD = 0.50 [95% CI = 0.09, 0.90]). Subgroup analyses showed that text-based, and artificial intelligence chatbots were more efficacious than speech/voice chatbots for fruit and vegetable consumption, and multicomponent interventions were more efficacious than chatbot-only interventions for sleep duration and sleep quality (all p < 0.05). Findings from this systematic review and meta-analysis indicate that chatbot interventions are efficacious for increasing physical activity, fruit and vegetable consumption, sleep duration and sleep quality. Chatbot interventions were efficacious across a range of populations and age groups, with both short- and longer-term interventions, and chatbot only and multicomponent interventions being efficacious.

A Digital Lifestyle Program for Psychological Distress, Wellbeing and Return-to-Work: A Proof-of-Concept Study.

OBJECTIVE: To demonstrate proof-of-concept for a chatbot-led digital lifestyle medicine program in aiding rehabilitation for return-to-work. DESIGN: Retrospective cohort study with pre-post measures. SETTING: Community setting, Australia. PARTICIPANTS: 78 adult participants (mean age 46 years, 32% female) with an active workers' compensation claim (N=78). INTERVENTIONS: A 6-week digital lifestyle medicine program led by an artificially intelligent virtual health coach and weekly telehealth calls with a health coach. MAIN OUTCOME MEASURES: Adherence (% program completions) and engagement (% of daily and weekly sessions completed), changes in depression, anxiety and distress (K10), psychological wellbeing (WHO-5), return-to-work confidence and anxiety and change in work status. RESULTS: Sixty participants completed the program (72%), with improvements in psychological distress (P≤.001, r=.47), depression (P<.001, r=.55), anxiety (P<.001, r=.46) and wellbeing (P<.001, r=.62) were noted, as well as increased confidence about returning to work (P≤.001, r=.51) and improved work status (P≤.001). Anxiety about returning to work remained unchanged. Participants completed an average of 73% of daily virtual coach sessions and 95% of telehealth coaching sessions. CONCLUSIONS: Artificial intelligence technology may be able to provide a practical, supportive, and low-cost intervention to improve psychosocial outcomes among individuals on an active workers' compensation claim. Further, controlled research is needed to confirm these findings.

Satisfaction with Online Versus In-Person Yoga During COVID-19.

Introduction: During COVID-19 restrictions, yoga classes transitioned to online delivery. This report compares the perceived benefits and barriers to online and in-person yoga and determine the preferred format. A secondary aim was to compare how well each format was perceived to produce common benefits of yoga practice. Materials and Methods: A cross-sectional online survey of Australian participants. Results: In-person yoga scored highest for providing mental health/mood benefits, physical satisfaction, and feeling energized. Online yoga scored highest for convenience, mental health/mood benefits, and affordability (initial N = 156; follow-up N = 55). Conclusion: Online yoga was acceptable and perceived to provide improved mental health and mood.

Effects of yoga on depressive symptoms in people with mental disorders: a systematic review and meta-analysis.

OBJECTIVE: To assess whether physically active yoga is superior to waitlist control, treatment as usual and attention control in alleviating depressive symptoms in people with a diagnosed mental disorder recognised by the Diagnostic and Statistical Manual of Mental Disorders (DSM). DESIGN: Systematic review and meta-analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. DATA SOURCES: Data were obtained from online databases (MEDLINE, EMBASE, PsychINFO, CENTRAL, EMCARE, PEDro). The search and collection of eligible studies was conducted up to 14 May 2019 (PROSPERO registration No CRD42018090441). ELIGIBILITY CRITERIA FOR SELECTING STUDIES: We included randomised controlled trials with a yoga intervention comprising ≥50% physical activity in adults with a recognised diagnosed mental disorder according to DSM-3, 4 or 5. RESULTS: 19 studies were included in the review (1080 participants) and 13 studies were included in the meta-analysis (632 participants). Disorders of depression, post-traumatic stress, schizophrenia, anxiety, alcohol dependence and bipolar were included. Yoga showed greater reductions in depressive symptoms than waitlist, treatment as usual and attention control (standardised mean difference=0.41; 95% CI -0.65 to -0.17; p<0.001). Greater reductions in depressive symptoms were associated with higher frequency of yoga sessions per week (ß=-0.44, p<0.01).

Is yoga considered exercise within systematic reviews of exercise interventions? A scoping review.

OBJECTIVE: Yoga is an increasingly popular choice of exercise for the Western population, with people engaging in yoga for a range of physical and mental health and well-being reasons. The aim of this scoping review is to examine whether yoga is considered an exercise modality within relevant leading journals, as evidenced by its consideration in systematic reviews (SRs) of exercise interventions for health-related outcomes. METHODS: Design: Scoping review. DATA SOURCES: Three leading sources (Sports Medicine, British Journal of Sports Medicine and Cochrane Collaboration) were searched. Eligibility criteria for selecting studies: The ten most recently published systematic reviews of exercise interventions for health-related outcomes from each journal were included (N = 30) that met these criteria: systematic review studying humans participating in general exercise and measuring a health-related outcome. Exercise interventions with any specific qualifying terms (e.g. aquatic, strength, aerobic) were excluded. RESULTS: The articles retrieved were published between 2007 and 2019, and collectively included 991 interventions. Seven reviews explicitly stated that yoga was to be included/excluded while twenty-three studies made no mention of how yoga was being considered in the methodology. Five studies included yoga in the search strategy, implying its inclusion. Post-hoc analyses found that the definitions of exercise in general were also variable. Exercise definition specificity was not associated with whether or not yoga was assessed for inclusion. CONCLUSIONS: Systematic reviews of exercise and physical activity interventions for health-related outcomes do not consistently make clear whether or not they include or exclude yoga as a form of exercise.

Relationships between adiposity and postural control in girls during balance tasks of varying difficulty.

OBJECTIVE: This study aimed to examine associations between postural control and body composition in 8-10-year-old girls. METHODS: An observational cross-sectional study was conducted in 47 girls who were healthy-weight/overweight/obese [body mass index (BMI) percentile]. Girls participated in six postural control conditions of varying difficulty (standing with malleoli touching, tandem stance leading with dominant and non-dominant foot, repeated with eyes open and closed). Postural control outcomes included Centre of Pressure (COP) sway area, COP principal and minor axis length and COP maximum velocity. Data were analysed using linear mixed modelling. RESULTS: BMI percentile was positively associated with COP sway area (p=0.034) and principal axis (p=0.030) during tandem stance non-dominant foot leading with eyes closed and COP principal axis during tandem stance dominant foot leading with eyes open (p=0.045). BMI percentile significantly interacted with postural control conditions of varying difficulty to predict postural control outcomes (p≤0.035), notable for tandem stance positions [all four COP sway outcomes in tandem stance non-dominant foot leading eyes closed; tandem stance dominant foot leading with eyes open and closed (two COP sway outcomes each)]. CONCLUSIONS: Girls with greater adiposity may have impairments in postural control, but only during more challenging postural control conditions. In contrast, BMI has little role to play in girls' postural control in easier postural control conditions (standing with feet together). These findings may suggest potential functional or safety considerations when girls with overweight/obesity are performing demanding postural control tasks (such as during sport or physical activity).