IntroductionLifestyle risk behaviours, including alcohol use, smoking, poor diet, physical inactivity, poor sleep (duration and/or quality) and sedentary recreational screen time (‘the Big 6’), are strong determinants of chronic disease. These behaviours often emerge during adolescence and co-occur. School-based interventions have the potential to address risk factors prior to the onset of disease, yet few eHealth school-based interventions target multiple behaviours concurrently. This paper describes the protocol of the Health4Life Initiative, an eHealth school-based intervention that concurrently addresses the Big 6 risk behaviours among secondary school students.Methods and analysisA multisite cluster randomised controlled trial will be conducted among year 7 students (11–13 years old) from 72 Australian schools. Stratified block randomisation will be used to assign schools to either the Health4Life intervention or an active control (health education as usual). Health4Life consists of (1) six web-based cartoon modules and accompanying activities delivered during health education (once per week for 6 weeks), and a smartphone application (universal prevention), and (2) additional app content, for students engaging in two or more risk behaviours when they are in years 8 and 9 (selective prevention). Students will complete online self-report questionnaires at baseline, post intervention, and 12, 24 and 36 months after baseline. Primary outcomes are consumption of sugar-sweetened beverages, moderate-to-vigorous physical activity, sleep duration, sedentary recreational screen time and uptake of alcohol and tobacco use.Ethics and disseminationThis study has been approved by the University of Sydney (2018/882), NSW Department of Education (SERAP no. 2019006), University of Queensland (2019000037), Curtin University (HRE2019-0083) and relevant Catholic school committees. Results will be presented to schools and findings disseminated via peer-reviewed journals and scientific conferences. This will be the first evaluation of an eHealth intervention, spanning both universal and selective prevention, to simultaneously target six key lifestyle risk factors among adolescents.Trial registration numberAustralian New Zealand Clinical Trials Registry (ACTRN12619000431123), 18 March 2019.
So far, research on quality of life after stroke has focused mainly on elderly patients. This study is targeted at younger stroke patients and their partners, aiming to evaluate stroke impact, as related to coping strategy. For our pilot study, eight patients who had suffered a stroke and four partners completed the Impact of Event Scale questionnaire. The mean age was 47.6 years in patients and 44.5 years in partners. The patients' level of activities of daily life was assessed using the Barthel Index. They were then interviewed to obtain information with respect to stroke impact and coping. The Schedule for the Evaluation of Individual Quality of Life procedure was carried out to measure quality of life, and stroke impact was quantified using Visual Analogue Scales. On average, patients scored 19.25 on the Barthel Index. Quality of life had deteriorated by 20.1% in patients, whereas partners did not show a decline in quality of life. However, well-being was inversely correlated among patients and partners. Accommodative coping was positively correlated with quality of life in both patients and partners. Conversely, assimilation was negatively related to quality of life in patients.
BackgroundThe mental health impacts of the COVID-19 pandemic remain a public health concern. High quality synthesis of extensive global literature is needed to quantify this impact and identify factors associated with adverse outcomes.MethodsWe conducted a rigorous umbrella review with meta-review and present (a) pooled prevalence of probable depression, anxiety, stress, psychological distress, and post-traumatic stress, (b) standardised mean difference in probable depression and anxiety pre-versus-during the pandemic period, and (c) comprehensive narrative synthesis of factors associated with poorer outcomes. Databases searched included Scopus, Embase, PsycINFO, and MEDLINE dated to March 2022. Eligibility criteria included systematic reviews and/or meta-analyses, published post-November 2019, reporting data in English on mental health outcomes during the COVID-19 pandemic.FindingsThree hundred and thirty-eight systematic reviews were included, 158 of which incorporated meta-analyses. Meta-review prevalence of anxiety symptoms ranged from 24.4% (95%CI: 18–31%, I2: 99.98%) for general populations to 41.1% (95%CI: 23–61%, I2: 99.65%) in vulnerable populations. Prevalence of depressive symptoms ranged from 22.9% (95%CI: 17–30%, I2: 99.99%) for general populations to 32.5% (95%CI: 17–52%, I2: 99.35) in vulnerable populations. Prevalence of stress, psychological distress and PTSD/PTSS symptoms were 39.1% (95%CI: 34–44%; I2: 99.91%), 44.2% (95%CI: 32–58%; I2: 99.95%), and 18.8% (95%CI: 15–23%; I2: 99.87%), respectively. Meta-review comparing pre-COVID-19 to during COVID-19 prevalence of probable depression and probable anxiety revealed standard mean differences of 0.20 (95%CI = 0.07–0.33) and 0.29 (95%CI = 0.12–0.45), respectively.ConclusionThis is the first meta-review to synthesise the longitudinal mental health impacts of the pandemic. Findings show that probable depression and anxiety were significantly higher than pre-COVID-19, and provide some evidence that that adolescents, pregnant and postpartum people, and those hospitalised with COVID-19 experienced heightened adverse mental health. Policymakers can modify future pandemic responses accordingly to mitigate the impact of such measures on public mental health.
the Heath4Life team † P hysical inactivity, poor diet, alcohol use, smoking, poor sleep, and excessive recreational screen time are lifestyle risk factors that emerge during adolescence, continue into adulthood, and often occur together. 1 They are linked with obesity 2 and mental health problems in the short term, 3 and with increased risk of chronic disease in adulthood. 4Competing interests: No relevant disclosures. ■
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