A systematic review and meta-analysis evaluating the effectiveness of minimally supervised home and community exercise interventions in improving physical activity, body adiposity and quality of life in adults living with HIV.

People living with HIV (PLWH) are physically inactive and risk cardiometabolic dysfunction. Home and community exercise (HCE) is pragmatic, cost-effective and improves health in varied chronic conditions. This review aimed to synthesize evidence on the effectiveness of minimally supervised HCE for physical activity (PA), adiposity, quality of life (QoL), and other physical and psychological health indices for PLWH. METHODS: Databases were searched for studies published January 2000 to April 2023. Risk of bias in experimental and quasi-experimental studies was assessed with the Cochrane Risk-of-Bias for Randomized Trials and Risk-of-Bias in Non-Randomized Studies of Interventions tools, respectively. A random-effects meta-analysis was conducted. RESULTS: From 9648 records, 13 studies (14 HCE groups) with 857 PLWH (average ages 29-56 years) were included; 12 comparator and one single group trial. Aerobic and strength HCE significantly improved PA relative to control by 0.377 units (95 %CI = 0.097, 0.657; p = 0.008) and 1097steps/day (95 %CI = 39.27, 2156.62; p = 0.042). There was a reduction from baseline in percent body fat of 3.36 % (95 %CI = -6.10, 0.42; p = 0.025), but no change in BMI (-0.21 kg/m2; 95 %CI = -0.67, 0.24; p = 0.351) relative to control. HCE improved QoL relative to control in the physical domain by 13points (95 %CI = 6.15, 19.86; p < 0.001), but not in other domains like general health (6.6points; 95 %CI = -1.19, 14.36; p < 0.097). HCE completed at moderate intensity or higher was associated with improvement in outcomes more so than lower intensity HCE. Walking-only interventions were at least as beneficial as other activities. No adverse events were recorded. CONCLUSION: Minimally supervised HCE can improve PA, body fat, physical QoL and other health indices in PLWH.

Participation in Sports/Recreational Activities and the Occurrence of Psychological Distress in Mid-Aged Adults: Findings From the HABITAT Cohort Study.

OBJECTIVES: The aim of this study was to investigate prospective associations between participation in sports/recreational activities and the occurrence of moderate-to-severe psychological distress over 2 years in a sample of mid-aged Australians. METHODS: This prospective study used data from 6699 adults aged 40+ years, living in Brisbane in 2007, and surveyed in 2009, 2011 and 2013. Participants provided self-reported data on frequency of participation in each of 11 sports/recreational activities in past 12 months and completed the Kessler Psychological Distress 6-item Scale (K6). Generalized estimating equation (GEE) models with a 2-year lag were used to assess the associations of participation in sports/recreational activities in 2009 and 2011 with new cases of moderate-to-severe psychological distress (K6 score ≥ 5) in 2011 and 2013. RESULTS: From 2009 to 2013, 22.4% of participants without moderate-to-severe psychological distress at baseline (N = 4943) developed this outcome in at least one survey. Overall, there were no clear patterns of association between frequency of participation in sports and recreational activities and occurrence of moderate-to-severe psychological distress. In unadjusted models, weekly participation in some activities (e.g., tennis, golf, and exercise classes) was associated with reduced odds of moderate-to-severe psychological distress over the next 2 years, but these associations were attenuated in most adjusted models with sociodemographic, lifestyle, and health covariates. Participation in home-based exercise and running/jogging were associated with higher odds of psychological distress. CONCLUSION: Our findings do not provide strong evidence of beneficial associations of frequency of sport/recreational activities with psychological distress but show surprising negative associations of home-based exercise and running/jogging with occurrence of moderate-to-severe psychological distress over 2 years.

Effect of low-volume combined aerobic and resistance high-intensity interval training on vascular health in people with type 2 diabetes: a randomised controlled trial.

PURPOSE: We compared the effects of low-volume combined aerobic and resistance high-intensity interval training (C-HIIT), combined moderate-intensity continuous training (C-MICT) and waitlist control (CON) on vascular health after 8-weeks of supervised training, and an additional 10-months of self-directed training, in adults with type 2 diabetes (T2D). METHODS: Sixty-nine low active adults with T2D were randomised to 8-weeks of supervised C-HIIT (3 times/week, 78-min/week), C-MICT (current exercise guidelines, 4 times/week, 210-min/week) or CON. CON underwent usual care for 8-weeks before being re-randomised to C-HIIT or C-MICT. This was followed by 10-months of self-directed training for participants in C-HIIT and C-MICT. Vascular outcomes were evaluated at baseline, 8-weeks, and 12-months. RESULTS: After 8-weeks, supervised C-HIIT significantly improved relative flow-mediated dilation (FMD) compared with CON (mean difference [MD] 0.8% [0.1, 1.4], p = 0.025). Although not significantly different from CON, the magnitude of change in relative FMD following 8-weeks of supervised C-MICT was similar (MD 0.8% [-0.1, 1.7], p = 0.080). There were no differences in haemodynamic indices, carotid-femoral pulse wave velocity (cfPWV), or aortic reservoir pressure between groups at 8-weeks. After 12-months, there was a significant reduction in haemodynamic indices (time effect, p < 0.05) for both C-HIIT and C-MICT, with no between-group difference. The reduction in cfPWV over 12-months was significantly greater in C-MICT than C-HIIT (group × time effect, p = 0.018). There was no difference in FMD over time or between groups at 12-months. CONCLUSIONS: Short-term supervised C-HIIT and C-MICT both increased brachial artery FMD compared with CON. Long-term C-HIIT and C-MICT were beneficial for improving haemodynamic indices, but not brachial artery FMD. C-MICT was superior to C-HIIT for improving cfPWV at 12-months. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry Identifier ACTRN12615000475549.

Utilizing technology for diet and exercise change in complex chronic conditions across diverse environments (U-DECIDE): feasibility randomised controlled trial.

BACKGROUND: Diet and exercise are important components of treatment for complex chronic conditions, however access to allied health support is limited. When available, support is often siloed and fragmented. Digital health incorporating patient choice may help to align health care services with preferences and goals. This study evaluated the implementation of a ubiquitously accessible patient-centred digital health diet and exercise service. METHODS: U-DECIDE was a single-centre, 26-week randomised controlled trial set in kidney and liver disease clinics in a tertiary hospital in Brisbane, Australia. Participants were adults with a complex chronic condition referred for dietetic consultation with at least one feature of the metabolic syndrome. All participants received a dietary consultation, an activity monitor and usual care. Intervention participants were offered one text message per week and access to additional digital health options (increased text message frequency, nutrition app, exercise app, group-based diet and/or exercise video consultations). The primary outcome of feasibility was determined by safety (study-related serious adverse events: SRSAEs), recruitment (≥ 50% eligible patients), retention (≥ 70%), exposure uptake (≥ 75% of intervention group had greater access to health professional contact than comparator) and video consultation adherence (≥ 80% attendance). Secondary outcomes included process evaluation metrics and clinical outcomes. RESULTS: Of 67 participants (intervention n = 33, comparator n = 34), 37 (55%) were men, median (IQR) age was 51 (41-58) years. The most chosen digital health options were the nutrition app (n = 29, 88%) and exercise video consultations (n = 26, 79%). Only one participant chose no additional digital health options. The intervention group had no SRSAEs. The study exceeded targets for recruitment (52%), retention (81%) and exposure uptake (94%). Video consultation adherence was 42%. Engagement across digital health options was inconsistent. CONCLUSIONS: Digital health options incorporating patient choice were feasible and can be offered to people with complex chronic disease as a service model option. TRIAL REGISTRATION: Australia and New Zealand Trials Register: Trial Registration Number: ACTRN12620001282976. Registered 27th November 2020.

Different types of screen time are associated with low life satisfaction in adolescents across 37 European and North American countries.

AIMS: Prolonged screen time (ST) is a potential concern for poor wellbeing. This study aimed to examine the associations of different types of ST with life satisfaction among adolescents. METHODS: Data were from 380,446 adolescents (aged 11-15 years, 51% girls) across 37 European and North American countries who completed the 2010 and 2014 Health Behaviour in School-Aged Children surveys. Participants reported h/day during free time spent on television, electronic games, and computer/other devices. Life satisfaction was assessed using a 10-point scale (low life satisfaction ⩽5). RESULTS: Generalized additive modelling showed non-linear associations for each ST type, with low life satisfaction increasing monotonically for >1 h/day of electronic gaming or computer/other device and >2 h/day of watching television. Multilevel multivariable modelling showed that >4 h/day of watching television was associated with 26% higher odds for boys (OR 1.26; 95% CI:1.21-1.32) and 52% higher odds for girls (1.52; 1.46-1.59) of low life satisfaction than for ⩽1 h/day of television. Electronic gaming >4 h/day was associated with low life satisfaction with odds 42% higher in boys (1.42, 1.36-1.48) and 69% higher in girls (1.69, 1.61-1.76). A similar association was found for >4 h/day of computer/other device for boys (1.43, 1.37-1.49) and girls (1.71, 1.65-1.77). CONCLUSIONS: Low levels of ST may be beneficial; however, prolonged periods are associated with low life satisfaction among adolescents, in particular among girls. Results support ⩽2 h/day restriction of ST and highlight research is needed to understand underlying mechanisms of ST and wellbeing, which may not reflect active versus passive content.

Social Support for Physical Activity Over 9 Years in Adults Aged 60-65 Years at Baseline.

Physical activity is a leading determinant of health and well-being in older adults; however, participation is low. Social support can significantly influence physical activity uptake and maintenance; however, most research is cross-sectional and does not differentiate among types of support. The current study assessed four types of social support for physical activity reported over 9 years by adults aged 60-65 at baseline (n = 1,984). Data were collected using a mail survey at four time points. Data were analyzed using linear mixed models. The most common type of support was emotional, with 25% of participants reporting this often/very often. Total support for activity declined by 16% across the 9 years (p < .001). Companionship had the greatest decline among types (17%-18%, p < .001). More work is needed to understand the factors contributing to the decline in support and how to enable access to support for physical activity in older adults.

Sources of occupational stress amongst dentistry academics.

BACKGROUND: Dentistry professionals may experience significantly higher occupational stress than other health professionals and dentistry academics may have specific work content and context sources of stress. AIMS: The aim of this study is to identify common sources of occupational stress, and how these are associated with wellbeing, in dentistry academics. MATERIALS & METHODS: A cross-sectional online survey with staff in Dentistry departments in Australia and New Zealand. Assessment included 23 items from five general domains of occupational stress from the NIOSH-Generic Job Stress Questionnaire, a 23-item list of sources of stress and the 22-item Psychological General Well-Being Index. Analyses used descriptive statistics and multiple linear regression. RESULTS: A total of 107 respondents (average age 50 ± 11.7 years, 56.8% men) completed the survey. Leading sources of occupational stress were job future, time pressure at work, work overload, and administration demands. A multiple linear regression model significantly predicted wellbeing, F(8,77) = 13.141, p = .000, adj.R2  = .53, but there were no significant associations for any of the specific sources of stress. CONCLUSION: The combination of time pressure, workload and responsibility, job dissatisfaction, low social support, and uncertain job future was inversely associated with wellbeing amongst these dentistry academics. Future studies should consider the development and evaluation of interventions to address these concerns.

Accelerometer-measured physical activity in mid-age Australian adults.

BACKGROUND: Raw data from accelerometers can provide valuable insights into specific attributes of physical activity, such as time spent in intensity-specific activity. The aim of this study was to describe physical activity assessed with raw data from triaxial wrist-worn accelerometers in mid-age Australian adults. METHODS: Data were from 700 mid-age adults living in Brisbane, Australia (mean age: 60.4; SD:7.1 years). Data from a non-dominant wrist worn triaxial accelerometer (Actigraph wGT3X-BT), expressed as acceleration in gravitational equivalent units (1 mg = 0.001 g), were used to estimate time spent in moderate-vigorous intensity physical activity (MVPA; >100 mg) using different bout criteria (non-bouted, 1-, 5-, and 10-min bouts), and the proportion of participants who spent an average of at least one minute per day in vigorous physical activity. RESULTS: Mean acceleration was 23.2 mg (SD: 7.5) and did not vary by gender (men: 22.4; women: 23.7; p-value: 0.073) or education (p-value: 0.375). On average, mean acceleration was 10% (2.5 mg) lower per decade of age from age 55y. The median durations in non-bouted, 1-min, 5-min and 10-min MVPA bouts were, respectively, 68 (25th -75th : 45-99), 26 (25th -75th : 12-46), 10 (25th -75th : 3-24) and 8 (25th -75th : 0-19) min/day. Around one third of the sample did at least one minute per day in vigorous intensity activities. CONCLUSION: This population-based cohort provided a detailed description of physical activity based on raw data from accelerometers in mid-age adults in Australia. Such data can be used to investigate how different patterns and intensities of physical activity vary across the day/week and influence health outcomes.

Individual socioeconomic position, neighbourhood disadvantage and mental well-being: a cross-sectional multilevel analysis of mid-age adults.

BACKGROUND: Socioeconomic disadvantage is associated with mental illness, yet its relationship with mental well-being is unclear. Mental well-being is defined as feeling good and functioning well. Benefits of mental well-being include reduced mortality, improved immune functioning and pain tolerance, and increased physical function, pro-social behaviour, and academic and job performance. This study aims to explore the relationship between individual socioeconomic position (SEP), neighbourhood disadvantage and mental well-being in mid-age adults. METHODS: Multilevel modelling was used to analyse data collected from 7866 participants from the second (2009) wave of HABITAT (How Areas in Brisbane Influence healTh and activiTy), a longitudinal study (2007-2018) of adults aged 40-65 years living in Brisbane, Australia. Mental well-being was measured using the Warwick Edinburgh Mental Well-Being Scale (WEMWBS). Exposure measures were education, occupation, household income, and neighbourhood socioeconomic disadvantage. RESULTS: The lowest MWB scores were observed for the least educated (ß = - 1.22, 95%CI = - 1.74, - 0.71), those permanently unable to work (ß = - 5.50, 95%CI = - 6.90, - 4.10), the unemployed (ß = - 2.62, 95%CI = - 4.12, - 1.13), and members of low-income households (ß = - 3.77, 95%CI = - 4.59, - 2.94). Residents of the most disadvantaged neighbourhoods had lower MWB scores than those living in the least disadvantaged neighbourhoods, after adjustment for individual-level SEP (ß = - 0.96, 95%CI = - 1.66, - 0.28). CONCLUSIONS: Both individual-level SEP and neighbourhood disadvantage are associated with mental well-being although the association is stronger for individual-level SEP. This research highlights the need to address individual and neighbourhood-level socioeconomic determinants of mental well-being.

Dysfunctional beliefs, sleep hygiene and sleep quality in university students.

ISSUE ADDRESSED: Poor sleep quality is common among university students and can have negative implications for physical, emotional, cognitive and academic wellbeing. Previous research has identified that sleep beliefs and sleep behaviours are associated with poor sleep quality. However, few studies have examined these variables simultaneously. This study explored associations between dysfunctional beliefs about sleep, sleep hygiene and sleep quality in a sample of university students. METHODS: Participants were recruited from a pool of undergraduate psychology students and included 120 male students and 145 female students with an average age of 20 years (SD = 5.10). Participants completed an online survey including the Pittsburgh Sleep Quality Index, Dysfunctional Beliefs and Attitudes About Sleep Scale, Sleep Hygiene Index and demographic items. RESULTS: Overall 60.4% of participants (59.4% of women, 40.6% of men) had poor sleep quality. Logistic regression indicated a significant positive association between sleep hygiene and sleep quality, OR = 1.16, P >.001, 95% CI (1.10, 1.23), and no significant relationship between dysfunctional beliefs about sleep and sleep quality, OR = 1.03, P > .79, 95% CI (0.84, 1.26), after adjusting for covariates. CONCLUSIONS: Sleep interventions for university students are needed and could focus on common hygiene components, such as using the bed for activities other than sleeping, engaging in arousing activities before bed and how to manage thinking and worrying before bed. So What? The results of the study demonstrate poor sleep quality is common among university students and indicates that sleep interventions are warranted. The positive association found between sleep hygiene and sleep quality highlights that interventions should focus on behavioural components of sleep.