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The adoption and maintenance of physical activity (PA) is an important health behavior. This paper presents the first comprehensive empirical test of the Physical Activity Adoption and Maintenance (PAAM) model, which proposes that a combination of explicit (e.g., intention) and implicit (e.g., habit,, affect) self-regulatory processes is involved in PA adoption and maintenance. Data were collected via online questionnaires in English, German, and Italian at two measurement points four weeks apart. The study included 422 participants (Mage= 25.3, SDage= 10.1; 74.2% women) from Germany, Switzerland, Italy, Canada, and the U.S. The study results largely supported the assumptions of the PAAM model, indicating that intentions and habits significantly mediate the effects of past PA on future PA. In addition, the effect of past PA on future PA was shown to be significant through a mediation chain involving affect and habit. Although the hypothesis that trait self-regulation moderates the intention-behavior relationship was not supported, a significant moderating effect of affect on the same relationship was observed. The results suggest that interventions targeting both explicit and implicit processes may be effective in promoting PA adoption and maintenance. [ABSTRACT FROM AUTHOR]

Background: Intervention planners use logic models to design evidence-based health behavior interventions. Logic models that capture the complexity of health behavior necessitate additional computational techniques to inform decisions with respect to the design of interventions. Objective: Using empirical data from a real intervention, the present paper demonstrates how machine learning can be used together with fuzzy cognitive maps to assist in designing health behavior change interventions. Methods: A modified Real Coded Genetic algorithm was applied on longitudinal data from a real intervention study. The dataset contained information about 15 determinants of fruit intake among 257 adults in the Netherlands. Fuzzy cognitive maps were used to analyze the effect of two hypothetical intervention scenarios designed by domain experts. Results: Simulations showed that the specified hypothetical interventions would have small impact on fruit intake. The results are consistent with the empirical evidence used in this paper. Conclusions: Machine learning together with fuzzy cognitive maps can assist in building health behavior interventions with complex logic models. The testing of hypothetical scenarios may help interventionists finetune the intervention components thus increasing their potential effectiveness. [ABSTRACT FROM AUTHOR]

Background: Health-related behaviors may change after retirement and induce changes in the mental health. This systematic review aimed to investigate the nature of changes in physical activity and leisure activities, as well as the relationship between physical activity, leisure, and psychological adjustment among retirees. Methods: Search of papers was done in three electronic databases of PubMed, ISI Web of Science, and Scopus without constraints on time, geographical regions, or languages in February 2022. The papers that had examined the relationship between physical activity and adjustment among retirees using observational design (cross-sectional or longitudinal) were included in the present study. To evaluate the methodological quality of cross-sectional studies, Joanna Briggs Institute (JBI) Critical Appraisal Checklist, and for longitudinal studies, Newcastle-Ottawa Scale (NOS) were used. Results: The search results identified 1458 records. Twenty-six papers were included in this review based on the inclusion and exclusion criteria. The findings of most of these studies indicated a significant positive correlation between physical activity, leisure, and psychological adjustment in retirees. Retirees were mostly engaged in passive leisure activities such as reading, watching TV and movies, and less engaged in physical activities, sport, or physical exercise. General organized assessment of the total physical activity among retirees was not possible. Conclusions: Based on the study findings, it can be stated that there is a positive correlation between physical activity, leisure, and the retirees' adjustment. Usage of the same and valid measurement method specific to old age and retirement period can be useful in more precise assessment of physical activity and its association with adjustment among retirees. [ABSTRACT FROM AUTHOR]

Background: Developing strategies to change health behaviour is one of the biggest challenges of health promotion programs. Social media, as a popular and innovative communication and education tool, offers opportunities to modify health behaviour. While literature on using social media for health promotion campaigns is growing, there is a need to evaluate the approaches used to change health behaviour, rather than only creating awareness. Objective: The paper reviewed the literature on application of social media in health promotion campaigns with a particular focus on the methodologies used in assessing the outcome of the programs for behaviour change. This fills the void in collating evidence to extend health promotion campaigns to effect sustainable behavioural change. Method: Peer-reviewed articles were identified through multiple science databases. A systematic electronic search was conducted to retrieve review and original papers published between January 2010 and April 2022. The titles and abstracts of the articles were screened according to inclusion and exclusion criteria. All authors independently read the full texts and discussed them to reach a consensus about the themes. Concept mapping was used to present results from analysis of the included papers. Results: Of the 674 citations, 28 (4.1%) studies were included in this review. The methodology approaches of 18 (2.7%) papers, that aimed to evaluate the impact of social media in health promotion campaigns towards behaviour change, were analysed further using concept mapping. The results showed that 10 studies (55.5%) adopted quantitative methods and five studies (27.7%) used mixed methods and three studies (16.6%) used qualitative methods. Facebook and YouTube were used more for intervention purposes to change health behaviour. Twitter and Instagram were used more to observe the trend of changes in health behaviour. Six studies (33.3%) adopted Social Cognitive Theory and one study (5.5%) applied the Transtheoretical Model as the framework to evaluate the outcome. Overall, the results show that though social media has potential in promoting behaviour change, the estimation of this change in long-term lies outside the scope of social media health campaigns. This is also reflected in the methodologies used in existing studies to assess such sustainable changes. The employed measures usually target immediate behaviour or social media engagement rather than addressing the change on a behavioural level. Conclusion: Evaluating the performance of social media campaigns to promote health behaviours towards a sustainable outcome is a complex process. Emerging research is focused on evaluating the potential of social media as an opportunity to create awareness. Such measures require less effort in quantifying and isolating the effect. The design of the campaigns is required to be aligned in relation to stages of the behaviour change. The study provides suggestions on how this can be achieved. [ABSTRACT FROM AUTHOR]

Introduction: Peer education, whereby peers ('peer educators') teach their other peers ('peer learners') about aspects of health is an approach growing in popularity across school contexts, possibly due to adolescents preferring to seek help for health-related concerns from their peers rather than adults or professionals. Peer education interventions cover a wide range of health areas but their overall effectiveness remains unclear. This review aims to summarise the effectiveness of existing peer-led health interventions implemented in schools worldwide.Methods: Five electronic databases were searched for eligible studies in October 2020. To be included, studies must have evaluated a school-based peer education intervention designed to address the health of students aged 11-18-years-old and include quantitative outcome data to examine effectiveness. The number of interventions were summarised and the impact on improved health knowledge and reductions in health problems or risk-taking behaviours were investigated for each health area separately, the Mixed Methods Appraisal Tool was used to assess quality.Results: A total of 2125 studies were identified after the initial search and 73 articles were included in the review. The majority of papers evaluated interventions focused on sex education/HIV prevention (n = 23), promoting healthy lifestyles (n = 17) and alcohol, smoking and substance use (n = 16). Papers mainly reported peer learner outcomes (67/73, 91.8%), with only six papers (8.2%) focussing solely on peer educator outcomes and five papers (6.8%) examining both peer learner and peer educator outcomes. Of the 67 papers reporting peer learner outcomes, 35/67 (52.2%) showed evidence of effectiveness, 8/67 (11.9%) showed mixed findings and 24/67 (35.8%) found limited or no evidence of effectiveness. Of the 11 papers reporting peer educator outcomes, 4/11 (36.4%) showed evidence of effectiveness, 2/11 (18.2%) showed mixed findings and 5/11 (45.5%) showed limited or no evidence of effectiveness. Study quality varied greatly with many studies rated as poor quality, mainly due to unrepresentative samples and incomplete data.Discussion: School-based peer education interventions are implemented worldwide and span a wide range of health areas. A number of interventions appear to demonstrate evidence for effectiveness, suggesting peer education may be a promising strategy for health improvement in schools. Improvement in health-related knowledge was most common with less evidence for positive health behaviour change. In order to quantitatively synthesise the evidence and make more confident conclusions, there is a need for more robust, high-quality evaluations of peer-led interventions using standardised health knowledge and behaviour measures. [ABSTRACT FROM AUTHOR]

Background: Dental caries (tooth decay) in children is a national public health problem with impacts on the child, their family and wider society. Toothbrushing should commence from the eruption of the first primary tooth. Health visitors are a key provider of advice for parents in infancy and are ideally placed to support families to adopt optimal oral health habits. HABIT is a co-designed complex behaviour change intervention to support health visitors' oral health conversations with parents during the 9-12-month universal developmental home visit.Methods: A seven stage co-design process was undertaken: (1) Preparatory meetings with healthcare professionals and collation of examples of good practice, (2) Co-design workshops with parents and health visitors, (3) Resource development and expert/peer review, (4) Development of an intervention protocol for health visitors, (5) Early-phase testing of the resources to explore acceptability, feasibility, impact and mechanism of action, (6) Engagement with wider stakeholders and refinement of the HABIT intervention for wider use, (7) Verification, Review and Reflection of Resources.Results: Following preparatory meetings with stakeholders, interviews and co-design workshops with parents and health visitors, topic areas and messages were developed covering six key themes. The topic areas provided a structure for the oral health conversation and supportive resources in paper-based and digital formats. A five-step protocol was developed with health visitors to guide the oral health conversation during the 9-12 month visit. Following training of health visitors, an early-phase feasibility study was undertaken with preliminary results presented at a dissemination event where feedback for further refinement of the resources and training was gathered. The findings, feedback and verification have led to further refinements to optimise quality, accessibility, fidelity and behaviour change theory.Conclusion: The co-design methods ensured the oral health conversation and supporting resources used during the 9-12 month visit incorporated the opinions of families and Health Visitors as well as other key stakeholders throughout the development process. This paper provides key learning and a framework that can be applied to other healthcare settings. The structured pragmatic approach ensured that the intervention was evidence-based, acceptable and feasible for the required context.Trial Registration: ISRCTN55332414, Registration Date 11/11/2021. [ABSTRACT FROM AUTHOR]

Background: The preconception period represents transgenerational opportunities to optimize modifiable risk factors associated with both short and long-term adverse health outcomes for women, men, and children. As such, preconception care is recommended to couples during this time to enable them to optimise their health in preparation for pregnancy. Historically, preconception research predominately focuses on maternal modifiable risks and health behaviours associated with pregnancy and offspring outcomes; limited attention has been given to inform paternal preconception health risks and outcomes. This systematic review aims to advance paternal preconception research by synthesising the current evidence on modifiable paternal preconception health behaviours and risk factors to identify associations with pregnancy and/or offspring outcomes. Methods: Medline, Embase, Maternity and Infant care, CINAHL, PsycINFO, Scopus, and ISI Proceedings were searched on the 5th of January 2023, a date limit was set [2012–2023] in each database. A Google Scholar search was also conducted identifying all other relevant papers. Studies were included if they were observational, reporting associations of modifiable risk factors in the preconception period among males (e.g., identified as reproductive partners of pregnant women and/or fathers of offspring for which outcomes were reported) with adverse pregnancy and offspring outcomes. Study quality was assessed using the Newcastle–Ottawa Scale. Exposure and outcome heterogeneity precluded meta-analysis, and results were summarised in tables. Results: This review identified 56 cohort and nine case control studies. Studies reported on a range of risk factors and/or health behaviours including paternal body composition (n = 25), alcohol intake (n = 6), cannabis use (n = 5), physical activity (n = 2), smoking (n = 20), stress (n = 3) and nutrition (n = 13). Outcomes included fecundability, IVF/ISCI live birth, offspring weight, body composition/BMI, asthma, lung function, leukemia, preterm birth, and behavioural issues. Despite the limited number of studies and substantial heterogeneity in reporting, results of studies assessed as good quality showed that paternal smoking may increase the risk of birth defects and higher paternal BMI was associated with higher offspring birthweight. Conclusion: The current evidence demonstrates a role of paternal preconception health in influencing outcomes related to pregnancy success and offspring health. The evidence is however limited and heterogenous, and further high-quality research is needed to inform clinical preconception care guidelines to support men and couples to prepare for a health pregnancy and child. [ABSTRACT FROM AUTHOR]

Background: Smoking is the leading behavioral risk factor for the loss of healthy life years. Many smokers want to quit, but have trouble doing so. Financial incentives in workplace settings have shown promising results in supporting smokers and their design influences their impact. Lotteries that leverage behavioral economic insights might improve the effectiveness of workplace cessation support. Methods and design: We examine in a cluster randomized trial if a workplace cessation group training paired with lottery deadlines will increase continuous abstinence rates over and above the cessation training alone. Organizations are randomized to either the control arm or lottery arm. The lotteries capitalize regret aversion by always informing winners at the deadline, but withholding prizes if they smoked. In the lottery-arm, winners are drawn out of all participants within a training group, regardless of their smoking status. In weeks 1-13 there are weekly lotteries. Winners are informed about their prize (€50), but can only claim it if they did not smoke that week, validated biochemically. After 26 weeks, there is a long-term lottery where the winners are informed about their prize (vacation voucher worth €400), but can only claim it if they were abstinent between weeks 13 and 26. The primary outcome is continuous abstinence 52 weeks after the quit date. Discussion: There is a quest for incentives to support smoking cessation that are considered fair, affordable and effective across different socioeconomic groups. Previous use of behavioral economics in the design of lotteries have shown promising results in changing health behavior. This cluster randomized trial aims to demonstrate if these lotteries are also effective for supporting smoking cessation. Therefore the study design and protocol are described in detail in this paper. Findings might contribute to the application and development of effective cessation support at the workplace. Trial registration: Netherlands Trial Register Identifier: NL8463. Date of registration: 17-03-2020. [ABSTRACT FROM AUTHOR]

Background: Universities are increasingly recognised as institutions where health and wellbeing can be promoted to maximise academic outcomes, career transitions, and lifelong positive health behaviours. There is concern about the mental health of university students and other factors which affect academic outcomes particularly for subgroups such as international students. There are few cohort studies of the breadth of issues that can impact on mental health and academic outcomes for both local and international students. We conducted a baseline prevalence survey of students at a large Australian university covering health, academic, and social determinants of wellbeing. The purpose was to inform the university's new student health and wellbeing framework with a view to follow-up to determine predictors of mental ill-health and academic outcomes in the subsequent year. In this paper we present the baseline prevalence data and report on selected mental health and health care access issues for local and international students. Methods: The entire university population as of April 2019 of over 56,375 students aged 18 or above were invited to complete the online survey. Questions explored eight domains: demographic characteristics, general health and wellbeing, mental health, risk taking behaviours, psychosocial stressors, learning and academic factors, social and cultural environment, and awareness of and access to health and wellbeing services. Records of academic results were also accessed and matched with survey data for a large subset of students providing consent. Results: Fourteen thousand eight hundred eighty (26.4%) students commenced our survey and were representative of the entire student population on demographic characteristics. Three quarters were aged between 18 to 25 years and one third were international students. Eighty-five percent consented to access of their academic records. Similar proportions of local and international students experienced symptoms of a depression or anxiety disorder, however international students were less aware of and less likely to access available health services both inside and external to the university. We also reported on the prevalence of: general lifestyle factors (diet, exercise, amount of daily sleep); risk-taking behaviours (including alcohol, tobacco and other drug use; unprotected sexual activity); psychosocial stressors (financial, intimate partner violence, discrimination, academic stressors, acculturative stress); subjects failed; resilience; social supports; social media use; and health services accessed online. Conclusions: This rigorous and comprehensive examination of the health status of local and international students in an Australian university student population establishes the prevalence of mental health issues and other psychosocial determinants of health and wellbeing, along with academic performance. This study will inform a university-wide student wellbeing framework to guide health and wellbeing promotion and is a baseline for a 12-month follow-up of the cohort in 2020 during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Background: Universities are increasingly recognised as institutions where health and wellbeing can be promoted to maximise academic outcomes, career transitions, and lifelong positive health behaviours. There is concern about the mental health of university students and other factors which affect academic outcomes particularly for subgroups such as international students. There are few cohort studies of the breadth of issues that can impact on mental health and academic outcomes for both local and international students. We conducted a baseline prevalence survey of students at a large Australian university covering health, academic, and social determinants of wellbeing. The purpose was to inform the university's new student health and wellbeing framework with a view to follow-up to determine predictors of mental ill-health and academic outcomes in the subsequent year. In this paper we present the baseline prevalence data and report on selected mental health and health care access issues for local and international students. Methods: The entire university population as of April 2019 of over 56,375 students aged 18 or above were invited to complete the online survey. Questions explored eight domains: demographic characteristics, general health and wellbeing, mental health, risk taking behaviours, psychosocial stressors, learning and academic factors, social and cultural environment, and awareness of and access to health and wellbeing services. Records of academic results were also accessed and matched with survey data for a large subset of students providing consent. Results: Fourteen thousand eight hundred eighty (26.4%) students commenced our survey and were representative of the entire student population on demographic characteristics. Three quarters were aged between 18 to 25 years and one third were international students. Eighty-five percent consented to access of their academic records. Similar proportions of local and international students experienced symptoms of a depression or anxiety disorder, however international students were less aware of and less likely to access available health services both inside and external to the university. We also reported on the prevalence of: general lifestyle factors (diet, exercise, amount of daily sleep); risk-taking behaviours (including alcohol, tobacco and other drug use; unprotected sexual activity); psychosocial stressors (financial, intimate partner violence, discrimination, academic stressors, acculturative stress); subjects failed; resilience; social supports; social media use; and health services accessed online. Conclusions: This rigorous and comprehensive examination of the health status of local and international students in an Australian university student population establishes the prevalence of mental health issues and other psychosocial determinants of health and wellbeing, along with academic performance. This study will inform a university-wide student wellbeing framework to guide health and wellbeing promotion and is a baseline for a 12-month follow-up of the cohort in 2020 during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Background: Tests to predict the development of chronic diseases in those with a family history of the disease are becoming increasingly available and can identify those who may benefit most from preventive interventions. It is important to understand the acceptability of these predictive approaches to inform the development of tools to support decision making. Whilst data are lacking for many diseases, data are available for ischemic heart disease (IHD). Therefore, this study investigates the willingness of those with a family history of IHD to take a predictive test, and the effect of the test results on risk-related behaviours.Method: Medline, EMBASE, PsycINFO, LILACS and grey literature were searched. Primary research, including adult participants with a family history of IHD, and assessing a predictive test were included. Qualitative and quantitative outcomes measuring willingness to take a predictive test and the effect of test results on risk-related behaviours were also included. Data concerning study aims, participants, design, predictive test, intervention and findings were extracted. Study quality was assessed using the Standard Quality Assessment Criteria for Evaluating Research Papers from a Variety of Fields and a narrative synthesis undertaken.Results: Five quantitative and two qualitative studies were included. These were conducted in the Netherlands (n = 1), Australia (n = 1), USA (n = 1) and the UK (n = 4). Methodological quality ranged from moderate to good. Three studies found that most relatives were willing to take a predictive test, reporting family history (n = 2) and general practitioner (GP) recommendation (n = 1) as determinants of interest. Studies assessing the effect of test results on behavioural intentions (n = 2) found increased intentions to engage in physical activity and smoking cessation, but not healthy eating in those at increased risk of developing IHD. In studies examining actual behaviour change (n = 2) most participants reported engaging in at least one preventive behaviour, particularly medication adherence.Conclusion: The results suggests that predictive approaches are acceptable to those with a family history of IHD and have a positive impact on health behaviours. Further studies are needed to provide a comprehensive understanding of predictive approaches in IHD and other chronic conditions. [ABSTRACT FROM AUTHOR]

Background: Health promotion behaviors are key determinant of health and well-being, and also play an important role in promoting successful aging. This study investigated levels of engagement in health promotion behaviors among Chinese rural older adults, and explored effects of perceived health competence, health education activities experience and sociodemographic variables on health promotion behavior in this population.Methods: A multicenter cross-sectional survey was performed. Participants were recruited by a multistage, stratified, cluster-sampling procedure from Nanbu County, Sichuan Province, China. All participants completed four paper questionnaires: sociodemographic characteristics and health care status survey, the Chinese version of the health promoting lifestyle profile-II (HPLP-II), perceived health competence scale and Lubben social network scale. Data were collected from July to August 2021. Stepwise multiple linear regression analysis was performed to analyze the effects of different factors on health promotion behaviors.Results: A total of 425 rural older adults with an average age of 72.7 years were included in analysis. The overall average score of HPLP-II was 101.6. The stepwise multiple linear regression analysis results showed that those who had higher perceived health competence (β = 0.66, P < 0.001), experienced health education activities (β = 0.254, P < 0.001), had physical examination (β = 0.107, P < 0.001), was married (β = 0.189, P < 0.001), had primary school education or above (β = 0.189, P < 0.001), and had a per capita monthly household income of more than 1000¥ (β = 0.085, P = 0.007), have higher levels of engagement in health promotion behaviors; while the level of health promotion behaviors of the older adults living alone was lower than that of living with their spouse or others (β = -0.192, P < 0.001). Combination of the above variables accounted for a total of 69.1% of the variance in health promotion behaviors.Conclusions: The level of health promotion behaviors among Chinese rural older adults is low. Perceived health competence and health education activities experience are two strong determinants of health promotion behaviors. Comprehensive health promotion programs aimed at improving perceived health competences and health literacy through health education activities may be an important part of optimizing the level of health promotion behaviors among rural older adults. [ABSTRACT FROM AUTHOR]

Background: The adoption of a healthy lifestyle plays a crucial role for the health and well-being of health care professionals. Previous e- and mHealth interventions relied on deliberative psychological processes (e.g., intention, planning) to target lifestyle changes, while revealing mixed efficacy. The additional potential of non-deliberative, automatic processes (i.e., habits) for behavior change has been understudied in interventions so far. The Habit Coach mHealth intervention combines deliberative and non-deliberative processes to support health care professionals in forming healthy physical activity, nutrition and mindfulness habits in daily life. The aim of this paper is to outline the study protocol including a detailed description of the mHealth intervention, evaluation plan, and study design. The purpose of this trial is to understand healthy habit formation in health care professionals over time.Methods: A one-arm, multicenter mHealth intervention study will be conducted. Behavioral and psychosocial predictors will be collected via within-app questionnaires across a 100-day period at baseline, post, as well as at weekly assessments. To understand habit formation across time, linear mixed models will be used.Discussion: This trial aims to unravel the role of motivational and volitional determinants for healthy habit formation across multiple health behaviors in health care professionals embedded in a mHealth intervention.Trial Registration: This trial is registered in the German Clinical Trials Register, DRKS-ID DRKS00027156. Date of registration 17 November 2021. [ABSTRACT FROM AUTHOR]

Background: Chronic disease is the leading cause of premature death globally, and many of these deaths are preventable by modifying some key behavioural and metabolic risk factors. This study examines changes in health behaviours among men and women at risk of diabetes or cardiovascular disease (CVD) who participated in a 6-month lifestyle intervention called the My health for life program.Methods: The My health for life program is a Queensland Government-funded multi-component program designed to reduce chronic disease risk factors amongst at-risk adults in Queensland, Australia. The intervention comprises six sessions over a 6-month period, delivered by a trained facilitator or telephone health coach. The analysis presented in this paper stems from 9,372 participants who participated in the program between July 2017 and December 2019. Primary outcomes included fruit and vegetable intake, consumption of sugar-sweetened drinks and take-away, alcohol consumption, tobacco smoking, and physical activity. Variables were summed to form a single Healthy Lifestyle Index (HLI) ranging from 0 to 13, with higher scores denoting healthier behaviours. Longitudinal associations between lifestyle indices, program characteristics and socio-demographic characteristics were assessed using Gaussian Generalized Estimating Equations (GEE) models with an identity link and robust standard errors.Results: Improvements in HLI scores were noted between baseline (Md = 8.8; IQR = 7.0, 10.0) and 26-weeks (Md = 10.0; IQR = 9.0, 11.0) which corresponded with increases in fruit and vegetable consumption and decreases in takeaway frequency (p < .001 for all) but not risky alcohol intake. Modelling showed higher average HLI among those aged 45 or older (β = 1.00, 95% CI = 0.90, 1.10, p < .001) with vocational educational qualifications (certificate/diploma: β = 0.32, 95% CI = 0.14, 0.50, p < .001; bachelor/post-graduate degree β = 0.79, 95% CI = 0.61, 0.98, p < .001) while being male, Aboriginal or Torres Strait Islander background, or not currently working conferred lower average HLI scores (p < .001 for all).Conclusions: While participants showed improvements in dietary indicators, changes in alcohol consumption and physical activity were less amenable to the program. Additional research is needed to help understand the multi-level barriers and facilitators of behaviour change in this context to further tailor the intervention for priority groups. [ABSTRACT FROM AUTHOR]

Background: Meeting physical activity and screen time guidelines has been associated with improved health in children. Research has shown that lifestyle behaviours happen in combination and can be tracked into later life. Thus, a complex approach is needed to identify the effects of physical activity and screen time altogether. This study aims to identify clusters of both behaviours in a cohort of Irish 3-year-old children (n = 8833) and determine the association with sociodemographic characteristics and behaviours at age 5 and 7-8.Methods: Data from the "Growing Up in Ireland" study collected between 2010 and 2016 was used in this study. Two-step cluster analysis was used to understand how physical activity and recreational screen time behaviours group together among 3-year-old children. Binary logistic regressions were conducted to examine if cluster placement at age 3 determined physical activity and recreational screen time behaviours at age 5 and 7-8 years, while controlling for gender of child, gender, age and employment status of the primary caregiver.Results: Six clusters were identified in 9771 (49.3% female) 3-year-old children with the majority falling into a "High Active & Mixed Screen Time" (23.2%). Those in the "High Active & Mixed Screen Time" cluster at age 3 were more likely to engage in all physical activities reported at age 5 (p < 0.01) and age 7-8 (p < 0.01) when compared to a "Low Active & Screen Time Exceed" cluster. Children categorised in a "Moderate Active & Screen Time Below" and "Moderate Active & Screen Time Exceed" were more likely to engage in the same physical activities at age 5 and 7-8 (p < 0.05 - p < 0.01). However, children in the latter cluster were also more likely (p < 0.05) to play on a computer or tablet device.Conclusions: This paper highlights the importance of establishing positive health-related behaviours during early childhood, as this predicts future engagement in health-promoting activities. Regardless of screen time level, being part of a cluster with moderate or high levels of physical activity positively influences a child's future physical activity at age 5 and again at age 7 -8 years. The multiple layers of influence on a child's development should be leveraged to support the adoption of health-enhancing behaviours. [ABSTRACT FROM AUTHOR]

Background: Office work generally consists of high amounts of sedentary behaviour (SB) which has been associated with negative health consequences. We developed the "WorktivIty" mobile app to help office workers reduce their SB through self-monitoring and feedback on sedentary time, prompts to break sedentary time, and educational facts. The aim of this paper is to report the feasibility of delivering the Worktivity intervention to desk-based office workers in the workplace setting and describe methodological considerations for a future trial.Methods: We conducted a three-arm feasibility cluster randomised controlled pilot study over an 8-week period with full time-desk based employees. Clustered randomisation was to one of three groups: Worktivity mobile app (MA; n = 20), Worktivity mobile app plus SSWD (MA+SSWD; n = 20), or Control (C; n = 16). Feasibility was assessed using measures of recruitment and retention, intervention engagement, intervention delivery, completion rates and usable data, adverse events, and acceptability.Results: Recruitment of companies to participate in this study was challenging (8% of those contacted), but retention of individual participants within the recruited groups was high (81% C, 90% MA + SSWD, 95% MA). Office workers' engagement with the app was moderate (on average 59%). Intervention delivery was partially compromised due to diminishing user engagement and technical issues related to educational fact delivery. Sufficient amounts of useable data were collected, however either missing or unusable data were observed with activPAL™, with data loss increasing at each follow up time point. No serious adverse events were identified during the study. The majority of participants agreed that the intervention could be implemented within the workplace setting (65% MA; 72% MA + SSWD) but overall satisfaction with the intervention was modest (58% MA; 39% MA + SSWD).Conclusions: The findings suggest that, in principle, it is feasible to implement a mobile app-based intervention in the workplace setting however the Worktivity intervention requires further technical refinements before moving to effectiveness trials. Challenges relating to the initial recruitment of workplaces and maintaining user engagement with the mHealth intervention over time need to be addressed prior to future large-scale implementation. Further research is needed to identify how best to overcome these challenges. [ABSTRACT FROM AUTHOR]