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      Study protocol of the Health4Life initiative: a cluster randomised controlled trial of an eHealth school-based program targeting multiple lifestyle risk behaviours among young Australians

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          Abstract

          Introduction

          Lifestyle 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 analysis

          A 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 dissemination

          This 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 number

          Australian New Zealand Clinical Trials Registry (ACTRN12619000431123), 18 March 2019.

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          Most cited references44

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          The combined effects of healthy lifestyle behaviors on all cause mortality: a systematic review and meta-analysis.

          Lifestyle factors are related to mortality. Although much is known about the impact of single factors, the current evidence about the combined effects of lifestyle behaviors on mortality has not yet been systematically compiled. We searched Medline, Embase, Global Health, and Somed up to February 2012. Prospective studies were selected if they reported the combined effects of at least three of five lifestyle factors (obesity, alcohol consumption, smoking, diet, and physical activity). The mean effect sizes that certain numbers of combined lifestyle factors have on mortality were compared to the group with the least number of healthy lifestyle factors by meta-analysis. Sensitivity analyses were conducted to explore the robustness of the results. 21 studies (18 cohorts) met the inclusion criteria of which 15 were included in the meta-analysis that comprised 531,804 people with a mean follow-up of 13.24 years. The relative risks decreased proportionate to a higher number of healthy lifestyle factors for all cause mortality. A combination of at least four healthy lifestyle factors is associated with a reduction of the all cause mortality risk by 66% (95% confidence interval 58%-73%). Adherence to a healthy lifestyle is associated with a lower risk of mortality. Copyright © 2012. Published by Elsevier Inc.
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            Timing of human sleep: recovery process gated by a circadian pacemaker.

            A model for the timing of human sleep is presented. It is based on a sleep-regulating variable (S)--possibly, but not necessarily, associated with a neurochemical substance--which increases during wakefulness and decreases during sleep. Sleep onset is triggered when S approaches an upper threshold (H); awakening occurs when S reaches a lower threshold (L). The thresholds show a circadian rhythm controlled by a single circadian pacemaker. Time constants of the S process were derived from rates of change of electroencephalographic (EEG) power density during regular sleep and during recovery from sleep deprivation. The waveform of the circadian threshold fluctuations was derived from spontaneous wake-up times after partial sleep deprivation. The model allows computer simulations of the main phenomena of human sleep timing, such as 1) internal desynchronization in the absence of time cues, 2) sleep fragmentation during continuous bed rest, and 3) circadian phase dependence of sleep duration during isolation from time cues, recovery from sleep deprivation, and shift work. The model shows that the experimental data are consistent with the concept of a single circadian pacemaker in humans. It has implications for the understanding of sleep as a restorative process and its timing with respect to day and night.
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              The associations between sedentary behaviour and mental health among adolescents: a systematic review

              Background With technological developments and modernised sedentary lifestyles has come an increase in diseases associated with inactivity such as obesity and other non-communicable diseases. Emerging evidence suggests that time spent sedentary may also interact with mental health. This systematic review examined the associations between sedentary behaviour and mental health problems among adolescents. Methods This systematic review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses, and applied a quality assessment tool for quantitative studies to identity best available evidence. Following stringent search strategy of the databases; Cumulative Index to Nursing and Allied Health Literature, Global Health, Health Source: Nursing and Academic Edition, MEDLINE, PsychARTICLES and PsycINFO, we identified 32 articles eligible for review. Results All studies reported leisure screen time among adolescents, and two thirds of identified studies examined depressive symptomatology. Other mental health measures were; anxiety symptoms, self-esteem, suicide ideation, loneliness, stress, and psychological distress. Strong consistent evidence was found for the relationship between both depressive symptomatology and psychological distress, and time spent using screens for leisure. Moderate evidence supported the relationship between low self-esteem and screen use. Poorer mental health status was found among adolescents using screen time more than 2–3 h per day, and gender differences exist. Essential information was missing for quality of evidence including heterogeneity in mental health and screen time-based measures, and self-report data collection methods. Conclusions The findings are of particular significance given the global public health concern of lifestyle-attributed diseases and the possibility for novel approaches to mental health. Future research should examine the psychological impact of reducing time spent using screens for leisure among adolescents, whilst accounting for possible confounding factors such as physical activity and dietary behaviours. It is critical that the reciprocal relationship between lifestyle behaviours and mental health is represented in both the psychiatric and public health forum. Electronic supplementary material The online version of this article (doi:10.1186/s12966-016-0432-4) contains supplementary material, which is available to authorized users.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2020
                13 July 2020
                : 10
                : 7
                : e035662
                Affiliations
                [1 ] departmentThe Matilda Centre for Research in Mental Health and Substance Use , The University of Sydney , Sydney, New South Wales, Australia
                [2 ] departmentPriority Research Centre for Brain and Mental Health , The University of Newcastle Faculty of Health and Medicine , Callaghan, New South Wales, Australia
                [3 ] departmentDepartment of Exercise Physiology , University of NSW , Sydney, New South Wales, Australia
                [4 ] departmentSchool of Education , University of Newcastle , Newcastle, New South Wales, Australia
                [5 ] departmentSchool of Psychology , University of Queensland , Brisbane, Queensland, Australia
                [6 ] departmentNational Drug Research Institute , Curtin University , Perth, Western Australia, Australia
                [7 ] departmentPreventive Medicine , Northwestern University Feinberg School of Medicine , Chicago, Illinois, USA
                Author notes
                [Correspondence to ] Dr Katrina E Champion; katrina.champion@ 123456sydney.edu.au
                Author information
                http://orcid.org/0000-0002-6744-463X
                http://orcid.org/0000-0001-8319-9366
                http://orcid.org/0000-0001-6305-2623
                http://orcid.org/0000-0002-4252-5572
                http://orcid.org/0000-0002-2460-6862
                http://orcid.org/0000-0001-7705-833X
                http://orcid.org/0000-0002-1725-9188
                http://orcid.org/0000-0001-8452-364X
                http://orcid.org/0000-0002-8592-6691
                http://orcid.org/0000-0001-8013-5658
                http://orcid.org/0000-0002-0204-8257
                http://orcid.org/0000-0002-4550-8460
                http://orcid.org/0000-0003-1714-6631
                http://orcid.org/0000-0003-0692-9868
                Article
                bmjopen-2019-035662
                10.1136/bmjopen-2019-035662
                7359380
                32665344
                d0ac097b-d172-4bca-b65a-2d8a4e5f6c68
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 11 November 2019
                : 11 May 2020
                : 29 May 2020
                Funding
                Funded by: The Paul Ramsay Foundation;
                Award ID: N/A
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: APP1078407
                Award ID: APP1120641
                Award ID: APP1166377
                Categories
                Public Health
                1506
                1724
                Protocol
                Custom metadata
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                Medicine
                mental health,nutrition & dietetics,preventive medicine,public health,coronary heart disease,substance misuse

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