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Cold-water immersion (CWI) has gained popularity as a health and wellbeing intervention among the general population. This systematic review and meta-analysis aimed to evaluate the psychological, cognitive, and physiological effects of CWI in healthy adults. Electronic databases were searched for randomized trials involving healthy adults aged ≥ 18 years undergoing acute or long-term CWI exposure via cold shower, ice bath, or plunge with water temperature ≤15°C for at least 30 seconds. Outcomes of interest were sleep, stress, fatigue, energy, skin health, immunity, inflammation, mental wellbeing, depression, anxiety, mood, concentration, and alertness or focus. Meta-analyses were conducted using RevMan software (version 5.4), applying random effects models to calculate standardized mean differences (SMD) between pre- and post-CWI exposure outcomes. Risk of bias was assessed using the PEDro scale. Eleven studies were included, comprising 3177 total participants and a mean PEDro score of 6.4 (n = 7 moderate quality, n = 4 high quality). CWI interventions were performed in baths (n = 10) or showers (n = 1) at temperatures ranging from 7°C to 15°C and durations ranging from 30 seconds to 2 hours. The meta-analysis revealed significant increases in inflammation immediately (SMD: 1.03, [95% CI: 0.37, 1.68], p <  0.01) and 1 hour post CWI (SMD: 1.26, [95% CI: 0.59, 1.94], p <  0.01), indicating an acute inflammatory response. A significant reduction in stress was observed 12 hours post-CWI (SMD: -1.00, [95% CI: -1.40, -0.61], p <  0.01), however, no significant effects on stress were detected immediately (SMD: -0.09 [95% CI: -0.45, 0.63], p >  0.05), 1 hour (SMD: -0.29 [95% CI: -0.66, 0.08], p >  0.05), 24 hours (SMD: -0.06 [95% CI: -0.50, 0.38], p >  0.05), or 48 hours (SMD: 0.09 [95% CI: -0.28, 0.46], p >  0.05) post-exposure. While meta-analysis showed no significant effects on immune function immediately (SMD: -0.16 [95% CI: -0.82, 0.51], p >  0.05) or 1 hour (SMD: -0.18 [95% CI: -1.09, 0.74], p >  0.05) post-CWI, narrative synthesis suggested longer-term benefits, including a 29% reduction in sickness absence among participants who took cold showers. Improvements were also observed in sleep quality and quality of life, but not mood. This systematic review suggests that CWI delivers time-dependent effects on inflammation, stress, immunity, sleep quality, and quality of life, offering potential practical applications for health practitioners considering CWI for stress management and wellbeing support. However, the current evidence base is constrained by few RCTs, small sample sizes, and a lack of diversity in study populations. Future high-quality RCTs are needed to examine the long-term effects of CWI, its impact on diverse health outcomes, and optimal CWI protocols. PROSPERO (ID: CRD42024500591).

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.

Background High demand for services has resulted in lengthy waiting times being experienced across mental health services, both across Australia and internationally. Timely access to services is necessary to optimise the effectiveness of treatment, and prevent further mental health decline, risk of suicidality and hospitalisation for clients waiting for services to commence. The present study aims to better understand the experiences of individuals who are waiting for ongoing mental health services to commence and their preferences for additional support whilst on the waitlist, as a means to recommend alternative supports. Methods A link to the cross-sectional, anonymous survey was sent via text message to 2,147 clients of a mental health service, with a reminder text message sent approximately one week subsequent to those who did not opt out of the communication. Eligibility criteria included having been a client of the service in the previous 12 months, having spent time on the waiting list, being aged 16 or over and having sufficient English proficiency. Results A total of 334 participants responded to the needs assessment survey, 277 (82.9%) of which resided in the metropolitan region and 57 (17.1%) residing in the country region. Of the respondents, the majority presented with generalised anxiety/panic attacks ( n  = 205, 61.4%), followed by life stressors (e.g., financial concerns, relationships, n  = 196, 58.7%) and lack of motivation/loss of interest ( n  = 196, 58.7%). Most respondents (52.7%) waited 4–12 months for ongoing services to commence and almost half (47%) reported that their mental health deteriorated during this time. Of the additional support options, most participants expressed interest in additional mental health supports (78.4%, n  = 262), such as telephone support and access to online materials. There was significant interest in other supports such as exercise support (57.4%, n  = 192), sleep education (56.6%, n  = 190) and healthy eating support (41%, n  = 137). Conclusion Mental health services are experiencing significant waiting times, increasing the risk of mental health deterioration for persons waiting for services to commence. However, the findings demonstrate that there is interest for alternative support options, such as lifestyle interventions, in the interim. Desire for lifestyle support services, particularly in-person exercise programs and self-directed sleep, was especially high amongst the population of respondents within this study. Future work to rigorously develop and evaluate such lifestyle support services for mental health clients is warranted.

Background Physical inactivity during and after hospitalisation is associated with poorer outcomes. Wearable activity trackers (WATs) are effective in promoting physical activity in healthcare settings, however, their successful implementation remains a challenge, and evidence for how this can be achieved is so far limited. Objective This feasibility study evaluated WAT implementation in inpatient and outpatient rehabilitation by assessing: (1) feasibility metrics including uptake and retention rates; (2) patient and clinician perceptions; (3) challenges and factors contributing to success; and (4) changes in PA. Methods A single-arm, feasibility study was conducted in two rehabilitation settings at a major teaching hospital. Patients were provided with a WAT (Fitbit Inspire 3) to wear throughout their admission, which was used to set step goals with clinicians, monitor daily step counts and support efforts and encouragement to meet step goals. Feasibility was assessed based on recruitment, retention, and data completeness rates. Patient and clinician experiences, satisfaction and perceptions were evaluated through surveys. Effect sizes for change in physical activity from baseline to follow-up were assessed for daily step counts, light physical activity, moderate-vigorous physical activity, and sedentary behaviour, were calculated using Cohen’s d and matched-pairs rank-biserial correlation (r). Results Of 36 invited patients, 26 participated, (mean age 72 years; SD: 13; range 33–93; 72% uptake rate). Data completeness was high (92%), with no devices lost or broken. Most patients perceived WATs helped increase walking (68%) and achieve rehabilitation goals (64%), with 84% willing to use WATs again in rehabilitation. All clinicians ( n  = 6) found WATs easy to use, though perspectives on therapy enhancement varied. Large effect sizes were observed for increased daily steps in both the inpatient (1050 to 1366 steps/day, (r) = 0.595) and outpatient (4749 to 5986 steps/day, (r) = 0.532) rehabilitation settings. The simplicity of the approach and patient and clinician resources were identified as factors contributing to the success of implementation, though the recruitment approach revealed challenges related to inviting individual patients to participate. Conclusion WAT implementation was feasible in both rehabilitation settings. Future research should evaluate larger scale implementation and effectiveness of such approaches through service-level enrolment and larger controlled trials, and exploring applications across diverse clinical settings. Trial registration This trial was registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) (Trial ID: ACTRN12624000447550; registration date: 11 April 2024).

Background Released in July 2023 by the Office for Early Child Development in South Australia (SA), the Early Years SA mobile app supports parents of children aged 0–5 years with features including health check reminders, developmental milestone information, and a broad range of parenting resources. This study evaluated user awareness, engagement, and overall experience to identify areas for improvement and enhance the app’s impact on child health outcomes in SA. Methods The app was promoted through state-wide campaigns, including social media, parenting expos, and healthcare professional referrals, with an estimated eligible population of ~ 52,000 families with children aged 0–5 years in SA. Participants were app users and parents/caregivers of children aged 0–5 years in SA. A mixed-methods approach included four sub-studies: (1) Analysis of app usage statistics; (2) Usability evaluation via the System Usability Scale survey; (3) Assessment of app awareness and behaviour change through a population-level survey; and (4) Qualitative feedback from semi-structured interviews and an in-person focus group. Results In its first year, the app attracted 16,411 downloads and 12,289 users, with 4,272 active users in July 2024. The most accessed pages related to newborn sleep, immunisations, and early feeding. The System Usability Scale ( n  = 415) scored 82.5/100, indicating “excellent” usability. Population survey data ( n  = 324) showed 17% of South Australian parents of 0–5-year-olds were aware of the app, and among users, 17% reported it influenced their decision to access child health checks and immunisations. Qualitative feedback ( n  = 17) highlighted appreciation for the app’s user-friendly layout, credible Australian-focused information, and convenient, age-based resources as a digital companion to the My Health and Development Record (Blue Book). Suggested improvements included clarifying age-specific content organisation, adding comprehensive feeding and sleep tracking, and incorporating content for diverse family structures, cultural backgrounds, and neurodivergence. Conclusion The Early Years SA app shows strong usability and early evidence of positively influencing health service use. Future improvements should aim to expand reach and enrich content while preserving its user-friendly design. This evaluation offers baseline data for continued monitoring of awareness, usage, and impact on child health outcomes.

Background Truck drivers are a vital workforce, but have higher rates of obesity and other chronic diseases than the general population. The occupation’s sedentary nature, limited physical activity opportunities and access to healthy food, and irregular sleeping patterns contribute to poor health. This systematic review and meta-analysis aimed to evaluate the effectiveness of interventions on health behaviours and cardiometabolic biomarkers of health in truck drivers. Methods A systematic search was conducted in February 2024, and reported according to PRISMA 2020 guidelines. Experimental studies targeting physical activity, sedentary behaviour, sleep, diet, weight loss, drug/alcohol use, and/or smoking were eligible. Two reviewers independently screened and completed data extraction and risk of bias assessment. Data were combined at the study level. Pooled statistics were calculated using mean differences (MD) or standardised mean differences (SMD) for outcomes that were reported in ≥2 studies. Pre- and post-intervention means and standard deviations (SD) for the intervention and control groups were used to compute effect sizes. Results Nineteen studies ( n =2137 participants) were included. Meta-analyses found a small-to-moderate increase in fruit and vegetable consumption (SMD 0.32, p =0.03) with no other significant effects on other outcome variables. Conclusions Interventions are moderately effective in increasing truck drivers’ fruit and vegetable consumption, but not other outcomes. There is a dearth of research in the driver population compared to other occupational groups. Future interventions should consider workplace and environmental factors to promote the health and wellbeing of truck drivers. Trial registration The study protocol was registered on PROSPERO (CRD42021283423).

Background Physiotherapy-related data, such as airway clearance techniques (ACTS), physical activity and aerobic fitness are not consistently included in international cystic fibrosis (CF) data registries. This study aimed to pilot the collection of ACTS, physical activity and fitness in a hospital CF clinic, as a step towards informing future national implementation. Methods This study was undertaken in a CF clinic within a major tertiary hospital. Patients and families were invited to participate. Participants completed self-report questionnaires on ACT use and those aged ≥ 10 years completed a physical activity questionnaire (Core Indicators and Measures of Youth Health Survey) and aerobic fitness test (the A-STEP test). Participants also completed a survey to explore the tolerance and acceptability of the fitness test, and the perceived accuracy of the self-reported data collection. Results Forty patients agreed to participate in the study (mean age = 9.8, SD = 4.1 years old; 52.5% female). All patients and/or families that were approached agreed to participate and completion rate for the ACTs and physical activity surveys was 98% and 100% (respectively). Completion rate for the fitness test was 55%, due to time constraints. Most participants agreed (≥ 90%) they could accurately provide ACT and physical activity data, and the assessments were tolerable and acceptable. Conclusions Patients with CF and their families are able to and can acceptably provide physiotherapy-related data, and collecting self-report ACTs and physical activity data is highly feasibly during routine CF clinic visits. However, aerobic fitness testing using the A-STEP test may be less feasible in clinic environments, due to time constraints.

There is a growing body of robust evidence to show that lifestyle behaviors influence mental health outcomes. Technology offers an accessible and cost-effective implementation method for interventions, yet the study of the effectiveness of interventions to date has been specific to the mode of delivery, population, or behavior. The primary aim of this review was to comprehensively evaluate the effectiveness of digital lifestyle interventions for improving symptoms of depression, anxiety, stress, and well-being as coprimary outcomes in adults. The secondary aim was to explore the technological, methodological, intervention-specific, and population-specific characteristics that were associated with major changes in mental health outcomes. A systematic search was conducted across the MEDLINE, CINAHL, Embase, Emcare, PsycINFO, and Scopus databases to identify studies published between January 2013 and January 2023. Randomized controlled trials of lifestyle interventions (physical activity, sleep, and diet) that were delivered digitally; reported changes in symptoms of depression, anxiety, stress, or well-being in adults (aged ≥18 years); and were published in English were included. Multiple authors independently extracted data, which was evaluated using the 2011 Levels of Evidence from the Oxford Centre for Evidence-Based Medicine. Inverse-variance random-effects meta-analyses were used for data analysis. The primary outcome was the change in symptoms of depression, anxiety, stress, and well-being as measured by validated self-report of clinician-administered outcomes from pre- to postintervention. Subgroup analyses were conducted to determine whether results differed based on the target lifestyle behavior, delivery method, digital features, design features, or population characteristics. Of the 14,356 studies identified, 61 (0.42%) were included. Digital lifestyle interventions had a significant small-to-medium effect on depression (standardized mean difference [SMD] -0.37; P<.001), a small effect on anxiety (SMD -0.29; P<.001) and stress (SMD -0.17; P=.04), and no effect on well-being (SMD 0.14; P=.15). Subgroup analyses generally suggested that effects were similar regardless of the delivery method or features used, the duration and frequency of the intervention, the population, or the lifestyle behavior targeted. Overall, these results indicate that delivering lifestyle interventions via a range of digital methods can have significant positive effects on depression (P<.001), anxiety (P<.001), and stress (P=.04) for a broad range of populations, while effects on well-being are inconclusive. Future research should explore how these interventions can be effectively implemented and embedded within health care with a concerted focus on addressing digital health equity. PROSPERO CRD42023428908; https://www.crd.york.ac.uk/PROSPERO/view/CRD42023428908.