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With its unique position, primary health care (PHC) can provide health promotion and prevention services, including lifestyle behavioural counselling. Unhealthy lifestyle behaviours are very prevalent among patients attending PHC, with many patients unwilling to change or in the precontemplation stage. While patients in the contemplation stage are better managed using the 5As approach of motivational interviewing counselling, those unwilling or not ready for change necessitate a different approach, such as the 5Rs of motivational interviewing (MI) counselling. The 5Rs MI approach holds promise in motivating unwilling individuals to consider embarking on the journey of behavioural change. The 5Rs approach is not a stand-alone checklist of tasks implemented in isolation but is best integrated within a theoretical behavioural change framework. Of the four health-related behavioural change theoretical frameworks that are frequently used, the transtheoretical stages of the change model are the most used. This continued professional development article provides a summary review of the literature on behavioural change theories as they apply to lifestyle health behaviour change and presents the 5Rs approach as a feasible and practical approach to manage patients who are unwilling to change or in the precontemplation stage. This offers a beacon of hope for improved patient outcomes in a PHC system saddled with high prevalence of modifiable unhealthy lifestyle behaviours.

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Objective: This study evaluated the moderating effects of socioeconomic status (SES) and geographical location on the efficacy of an eHealth school-based multiple health behaviour change intervention - Health4Life - in targeting alcohol and tobacco use, dietary intake, knowledge, behavioural intentions, and psychological distress over 24-months. Methods: Data from the Health4Life cluster-randomised controlled trial conducted from 2019 to 2021 in 71 Australian secondary schools were analysed (N=6639; baseline age 11-14yrs). Schools were from metropolitan (89%) and regional (11%) areas, and participants' SES was classified as low (15%), mid (37%), and high (48%) relative to the study population. Primary outcomes included alcohol and tobacco use, and a composite indicator of poor diet. Secondary outcomes were knowledge, behavioural intentions, and psychological distress. Latent growth models assessed moderating effects of SES and geographical location on between-group change over 24-months. Results: Geographical location moderated the intervention's effect on odds of reporting a poor diet (OR = 1.79, 95% CI = 1.32-2.43, p < 0.001) and diet-related behavioural intentions (OR = 0.71, 95% CI = 0.56-0.89, p = 0.024) over time. Subset analyses indicated that intervention participants in regional areas had higher odds of reporting a poor diet (OR = 1.61, 95% CI = 1.13-2.29, p = 0.008), while those in metropolitan areas had higher odds of improving diet-related behavioural intentions (OR = 1.13, 95% CI = 1.01-1.27, p = 0.041), compared to the control group. No other significant moderation effects were observed. Conclusions: While significant disparities were generally not observed, the geographical differences in intervention effects on diet and diet-related intentions suggest that co-designed and tailored approaches may benefit disadvantaged adolescents to address the disproportionately high rates of lifestyle risk behaviours among these priority populations.

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BACKGROUND AND PURPOSE: Healthy lifestyle behaviour modification may improve health outcomes in people with multiple sclerosis (pwMS), but empirical evidence is needed to confirm prior study findings. We developed an online multimodal lifestyle intervention (Multiple Sclerosis Online Course) to examine the impact of lifestyle modification on health outcomes in pwMS via a randomized control trial (RCT). However, the present study specifically analyses baseline data to assess engagement with healthy lifestyles by RCT participants and cross-sectional associations with health outcomes. METHODS: Baseline engagement with six "healthy lifestyle behaviours" of the intervention course (high-quality, plant-based diet; ≥5000 IU/day vitamin D; omega-3 supplementation; ≥30 min physical activity 5 times/week; ≥30 min/week meditation; and nonsmoking) was examined. Associations between individual versus collective behaviours (individual behaviours summated) and health outcomes (quality of life [QoL]/fatigue/disability) were evaluated using multivariate modelling (linear/log-binomial/multinomial). RESULTS: At baseline, 33.7% and 30.0% of participants (n = 857) engaged in one or two healthy behaviours, respectively. In total, engagement with healthy lifestyles by participants was as follows: nonsmoking, 90.7%; omega-3 supplementation, 34.5%; vitamin D supplementation, 29.8%; physical activity, 29.4%; diet, 10.7%; and meditation, 10.5%. Individual behaviours (nonsmoking/physical activity/diet) were independently associated with better health outcomes. Engagement with multiple behaviours, especially diet and physical activity, was associated with better outcomes; engaging with ≥4 behaviours was associated with a 9.0-point higher mental QoL and a 9.5-point higher physical QoL, as well as 23% and 56% lower prevalence of fatigue and moderate disability, respectively. CONCLUSIONS: Baseline engagement with ≥4 healthy behaviours, including diet and physical activity, was associated with better health outcomes.

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This study aimed to identify changes in clusters of lifestyle behaviours (physical activity, screen time and diet) between the ages of 7 and 14 years, and to examine socio-demographic determinants of changes. Longitudinal analyses were performed on a sample of 9339 children from the UK Millennium Cohort Study (MCS) who had complete data on behaviours of interest at age 7 (wave 4) and 14 years (wave 6). Joint Correspondence Analysis (JCA) and k-means cluster analysis were used to identify clusters of lifestyle behaviours at both time waves. Multinomial logistic regressions were used to examine the associations between socio-economic variables and changes in cluster membership. Analyses were conducted separately for boys and girls. Clusters of behaviours at age 7 and 14 years were identified as healthy, mixed or unhealthy respectively. Compared to girls, a higher proportion of boys remained in the healthier cluster over time (19.1% vs. 13.1%) or became healthier (26.4% vs. 9.36%). A higher proportion of girls changed to an unhealthier cluster (57.2% vs. 33.9%). Indicators of lower socio-economic status, such as low family income, low parental education, and not living with both parents at age 7 were associated with unhealthier changes in cluster membership. Conclusion Lifestyle behaviours cluster in children and are susceptible to change over a 7-year period, with a high proportion of boys becoming healthier and a higher proportion of girls became unhealthier. Indicators of socio-economic status appear to be important in determining changes in clusters. What is Known: • Poor lifestyle behaviours (i.e. unhealthy dietary habits, low physical activity, and sedentary behaviours) tend to cluster in children and adolescents. What is New: • Lifestyle behaviours cluster in children and are susceptible to changes between childhood and adolescence. Changes occur differently in boys and girls. Indicators of low socio-economic status are associated with unhealthier changes in behavioural clusters.

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Objectives: To determine the causal correlations of lifestyle behaviours and body fat distribution on diabetic microvascular complications through a Mendelian Randomization (MR). Methods: Genetic variants significantly associated with lifestyle behaviours, abdominal obesity, generalized obesity and diabetic microvascular complications were extracted from the UK Biobank (UKB) and FinnGen. The inverse variance weighted (IVW) method was regarded as the primary method. The main results were presented in odds ratio (OR) per standard deviation (SD) increase, and a series of sensitivity analyses were also conducted to validate the stability of the results. Results: There was a positive causal correlation between smoking and the development of diabetic retinopathy (OR = 1.16; 95%CI: 1.04-1.30; p = 0.01). All of the indicators representing abdominal obesity had a statistically significant causal association with diabetic microvascular complications. Concerning generalized obesity, there were significant causal associations of body mass index (BMI) on diabetic nephropathy (OR = 1.92; 95%CI: 1.58-2.33; p < 0.001), diabetic retinopathy (OR = 1.27; 95%CI: 1.15-1.40; p < 0.001), and diabetic neuropathy (OR = 2.60; 95%CI: 1.95-3.45; p < 0.001). Other indicators including leg fat mass (left), and arm fat mass (left) also had a significant positive causality with diabetic microvascular complications. Conclusion: Our findings suggested that smoking has a genetically causal association with the development of diabetic retinopathy rather than diabetic nephropathy and diabetic neuropathy. In addition, both abdominal obesity and generalized obesity are risk factors for diabetic microvascular complications. To note, abdominal obesity represented by waist circumference (WC) is the most significant risk factor.

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BACKGROUND: While there is a recognized role of optimizing lifestyle (diet and physical activity) behaviours in the management of infertility, the best practice remains unknown and factors influencing the lifestyle of people with infertility are not well understood. OBJECTIVE AND RATIONALE: This systematic review evaluated barriers and enablers to a healthy lifestyle in people with infertility, from the perspectives of people with infertility and health professionals, in order to inform optimal behavioural change strategies. SEARCH METHODS: Ovid MEDLINE(R), PsycINFO, EMBASE, EBM Reviews, and CINAHL were searched from inception to 28 August 2023. Eligible studies were qualitative and quantitative primary studies that explored barriers and/or enablers to lifestyle for infertility management. Quality assessment was performed using the Centre for Evidence-Based Management Critical Appraisal of a Survey Tool and the Critical Appraisal Skills Programme Qualitative Checklist. Data were analysed by thematic analysis with themes mapped to the Capability, Opportunity, Motivation and Behaviour (COM-B) model and Theoretical Domains Framework (TDF). OUTCOMES: After screening 12 326 abstracts and 99 full-texts, 27 studies were included (12 quantitative, 6 qualitative and 9 mixed-methods) with 22 studies of women with infertility (n = 2524), 11 studies of men with infertility (n = 1407), and 6 studies of health professionals (n = 372). We identified barriers and enablers relating to capability (e.g. strategies for behaviour change), opportunity (e.g. limited time, resources, and money), and motivation (e.g. interplay between lifestyle and emotional state). Based on the identified themes, suggested intervention components to integrate into lifestyle management of infertility include facilitating development of self-management skills to support lifestyle change (e.g. self-monitoring, action planning, and goal setting) and incorporating mental health strategies (e.g. providing information about the benefits of healthy lifestyle behaviours for mental health and encouraging patients to reframe healthy lifestyle behaviours as self-care strategies). WIDER IMPLICATIONS: The findings have identified important factors that influence lifestyle management in people with infertility and have suggested relevant intervention components to consider when designing interventions. Given the paucity of qualitative studies identified, more research is needed to further understand the complex and interacting factors that shape lifestyle during the fertility journey.

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Objectives: Lifestyle behaviours have been linked to dementia incidence, but their cumulative impact on dementia and the underlying mechanisms remain poorly understood. This study investigated the association of co-occurring lifestyle behaviours with dementia incidence and the mediating role of systemic inflammation in this association. Methods: The sample comprised 3131 participants (55.2% female) from the English Longitudinal Study of Ageing aged 52-92 years at baseline (2008/09). Self-reported baseline lifestyle behaviours (alcohol intake, fruit and vegetable consumption, smoking, physical activity, sleep duration, social engagement, and cognitive activity) were summed to derive an index of lifestyle behaviours, ranging from 0 to 7, with higher scores denoting a higher number of health-risk behaviours. Incident dementia cases (n = 130, 4.2%) were identified through doctor-diagnosed dementia, informant interviews, and health records between 2014/15 and 2018/19. Systemic inflammation was measured through fasting plasma concentrations of C-reactive protein in 2012/13. Results: Binary logistic regression models indicated that the odds of subsequent dementia increased by 1.19 for each additional health-risk behaviour (95% confidence intervals: 1.04, 1.37, p = 0.014) after adjusting for age, sex, ethnicity, wealth, education, marital status, body mass index, coronary heart disease, hypertension, stroke, and depression. However, this association was not mediated by C-reactive protein. Conclusions: Co-occurring health-risk behaviours were associated with higher dementia incidence up to 10 years later, underscoring the importance of modifying health-risk behaviours for the prevention of dementia. Systemic inflammation did not explain the association between behaviours and dementia.

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Family-based obesity management interventions targeting child, adolescent and parental lifestyle behaviour modifications have shown promising results. Further intervening on the family system may lead to greater improvements in obesity management outcomes due to the broader focus on family patterns and dynamics that shape behaviours and health. This review aimed to summarize the scope of pediatric obesity management interventions informed by family systems theory (FST). Medline, Embase, CINAHL and PsycInfo were searched for articles where FST was used to inform pediatric obesity management interventions published from January 1980 to October 2023. After removal of duplicates, 6053 records were screened to determine eligibility. Data were extracted from 50 articles which met inclusion criteria; these described 27 unique FST-informed interventions. Most interventions targeted adolescents (44%), were delivered in outpatient hospital settings (37%), and were delivered in person (81%) using group session modalities (44%). Professionals most often involved were dieticians and nutritionists (48%). We identified 11 FST-related concepts that guided intervention components, including parenting skills, family communication, and social/family support. Among included studies, 33 reported intervention effects on at least one outcome, including body mass index (BMI) (n = 24), lifestyle behaviours (physical activity, diet, and sedentary behaviours) (n = 18), mental health (n = 12), FST-related outcomes (n = 10), and other outcomes (e.g., adiposity, cardiometabolic health) (n = 18). BMI generally improved following interventions, however studies relied on a variety of comparison groups to evaluate intervention effects. This scoping review synthesises the characteristics and breadth of existing FST-informed pediatric obesity management interventions and provides considerations for future practice and research.

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The aim of this study was to determine the relationship between eHealth literacy and healthy lifestyle behaviours among pregnant women. This cross-sectional study was conducted in five family health centres in a city in the western part of Turkey. The study sample consisted of 201 pregnant women who were admitted to the five family health centres between September and December 2022. A socio-demographic questionnaire, the eHealth Literacy Scale and the Healthy Lifestyle Behaviours in Pregnancy Scale were used to collect data. Multiple linear regression analysis was used to explore predictors of health-promoting behaviours. The mean score of the eHealth Literacy Scale was 29.37 ±â€…6.20. The mean score of the Healthy Lifestyle Behaviours Scale was 119.69 ±â€…13.58. Multiple linear regression showed that predictors of healthy lifestyle behaviours among pregnant women were eHealth literacy, using internet to access health information and gestational age. eHealth literacy was found to be an important factor affecting the healthy lifestyle behaviours of pregnant women. This study highlights the importance of considering pregnant women's eHealth literacy in interventions aimed at improving healthy lifestyle behaviours.

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Background: Digital health interventions can be effective for blood pressure (BP) control, but a comparison of the effectiveness and application of these types of interventions has not yet been systematically evaluated in low- and middle-income countries (LMICs). This study aimed to compare the effectiveness of digital health interventions according to the World Health Organisation (WHO) classifications of patients in terms of BP control, lifestyle behaviour changes, and adherence to medication in patients with hypertension in LMICs. Methods: In this systematic review and meta-analysis, we searched the PubMed, Scopus, Web of Science, Embase, CINAHL, and Cochrane Library databases for randomised controlled trials (RCTs) published in English, comprised of adults (≥18 years old) with hypertension and the intervention consisted of digital health interventions according to WHO's classifications for patients in LMICs between January 1, 2009, and July 17, 2023. We excluded RCTs that considered patients with hypertension comorbidities such as diabetes and hypertension-mediated target organ damage (HMTOD). The references were downloaded into Mendeley Desktop and imported into the Rayyan web tool for deduplication and screening. The risk of bias was assessed using Cochrane Risk of Bias 2. Data extraction was done according to Cochrane's guidelines. The main outcome measures were mean systolic blood pressure (SBP) and BP control which were assessed using the random-effect DerSimonian-Laird and Mantel-Haenszel models. We presented the BP outcomes, lifestyle behaviour changes and medication adherence in forest plots as well as summarized them in tables. This study is registered with PROSPERO, CRD42023424227. Findings: We identified 9322 articles, of which 22 RCTs from 12 countries (n = 12,892 respondents) were included in the systematic review. The quality of the 22 studies was graded as high risk (n = 7), had some concerns (n = 3) and low risk of bias (n = 12). A total of 19 RCTs (n = 12,418 respondents) were included in the meta-analysis. Overall, digital health intervention had significant reductions in SBP [mean difference (MD) = -4.43 mmHg (95% CI -6.19 to -2.67), I2 = 92%] and BP control [odds ratio (OR) = 2.20 (95% CI 1.64-2.94), I2 = 78%], respectively, compared with usual care. A subgroup analysis revealed that short message service (SMS) interventions had the greatest statistically significant reduction of SBP [MD = -5.75 mm Hg (95% Cl -7.77 to -3.73), I2 = 86%] compared to mobile phone calls [MD = 3.08 mm Hg (-6.16 to 12.32), I2 = 87%] or smartphone apps interventions [MD = -4.06 mm Hg (-6.56 to -1.55), I2 = 79%], but the difference between groups was not statistically significant (p = 0.14). The meta-analysis showed that the interventions had a significant effect in supporting changes in lifestyle behaviours related to a low salt diet [standardised mean difference (SMD) = 1.25; (95% CI 0.64-1.87), I2 = 89%], physical activity [SMD = 1.30; (95% CI 0.23-2.37), I2 = 94%] and smoking reduction [risk difference (RR) = 0.03; (95% CI 0.01-0.05), I2 = 0%] compared to the control group. In addition, improvement in medication adherence was statistically significant and higher in the intervention group than in the control group [SMD = 1.59; (95% CI 0.51-2.67), I2 = 97%]. Interpretation: Our findings suggest that digital health interventions may be effective for BP control, changes in lifestyle behaviours, and improvements in medication adherence in LMICs. However, we observed high heterogeneity between included studies, and only two studies from Africa were included. The combination of digital health interventions with clinical management is crucial to achieving optimal clinical effectiveness in BP control, changes in lifestyle behaviours and improvements in medication adherence. Funding: None.

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This study comprehensively examined the associations between shokuiku (food and nutrition education) during school years, current well-balanced diets, and current eating and lifestyle behaviours of Japanese female university students. A hypothetical model was developed using factors potentially associated with well-balanced diets. A simultaneous multipopulational analysis was performed according to the living arrangements of 148 female Japanese students (48.6% living alone) from a registered dietitian course. The analysis showed acceptable goodness of fit and a significant positive path from shokuiku during school years (living alone: standardised estimate 0.29, p = 0.004; with family: 0.32, p = 0.006) and a negative path from eating out frequency (-0.19, p = 0.039; -0.24, p = 0.017) towards a well-balanced diet. A significant negative path was identified from late bedtimes (-0.45, p < 0.001) and home meal replacement use frequency (-0.24, p = 0.010) in those living alone and from late-night snacking frequency (-0.27, p = 0.007) in those living with family. Well-balanced diets in female university students may be positively associated with shokuiku during school years and limited by a late bedtime, eating out, and home meal replacement use in those living alone, and by late-night snacking and eating out in those living with family.

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BACKGROUND: To which extent physical activity is associated with depression independent of older adults' physical and cognitive functioning is largely unknown. This cohort study using harmonised data by the EU Ageing Trajectories of Health: Longitudinal Opportunities and Synergies consortium, including over 20 countries, to evaluate the longitudinal association of physical activity (light-to-moderate or vigorous intensity) with depression in older adults (aged ≥ 50 years). RESULTS: We evaluated 56,818 participants (light-to-moderate models; 52.7% females, age 50-102 years) and 62,656 participants (vigorous models; 52.7% females, age 50-105 years). Compared to never, light-to-moderate or vigorous physical activity was associated with a lower incidence rate ratio (IRR) of depression (light-to-moderate model: once/week: 0.632, 95% CI 0.602-0.663; twice or more/week: 0.488, 95% CI 0.468-0.510; vigorous model: once/week: 0.652, 95% CI 0.623-0.683; twice or more/week: 0.591, 95% CI 0.566-0.616). Physical activity remained associated with depression after adjustment for the healthy ageing scale, which is a scale that incorporated 41 items of physical and cognitive functioning (light-to-moderate model: once/week: 0.787, 95% CI 0.752-0.824; twice or more/week: 0.711, 95% CI 0.682-0.742; vigorous model: once/week: 0.828, 95% CI 0.792-0.866; twice or more/week: 0.820, 95% CI 0.786-0.856). CONCLUSIONS: Physical activity, of any intensity and weekly frequency, was a strong protective factor against depression, independent of physical and mental functioning. Health policies could stimulate the incorporation of lower physical activity intensity to protect against depression, which might be more feasible at the population level.

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BACKGROUND: As unhealthy lifestyle habits have been found to be established early in life and often track into adulthood, early preventive initiatives are important. 'Saga Stories in health talks' is a newly developed material that is intended to be used as a support for nurses at child health care (CHC) centers in their health talks with children and parents in Sweden. The aim of this study is to explore how CHC nurses experience the usability of the 'Saga Stories in health talks' material. METHODS: This study used a qualitative design. The material 'Saga Stories in health talks' was tested by 33 CHC nurses working in 11 CHC centers in three regions in Sweden. All CHC nurses were invited to participate in the interviews and 17 agreed. The interviews were transcribed and analysed using content analysis. RESULTS: Three categories and eight sub-categories emerged. The categories were: (1) An appreciated tool suitable for health talks, (2) Illustrations to capture children's interest in the conversation with families, and (3) Barriers and facilitators. Saga Stories in health talks' was experienced by the CHC nurses as an appreciated tool with content highly relevant to what should be discussed during the health talks. The CHC nurses described the material as well-designed with illustrations that helped them capture the child's interest and increase their participation, while still involving the parents. Support from colleagues, the researchers, and managers were seen as important facilitators. Challenges included structural factors such as how and when to best use the material, especially concerning that the 4-year visit contained many other mandatory parts. CONCLUSIONS: This pilot study show that the material 'Saga Stories in health talks' was highly appreciated by CHC nurses and facilitated their health talks with families in CHC. Important aspects with the material were the relevant content and the focus on healthy living habits, as well as the child friendly illustrations. These findings can be used when similar material is developed to facilitate health talks with families in other contexts. Our results also highlight the importance to adjust the implementation of a new material with already established practice and routines.

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Lifestyle risk behaviours-physical inactivity, poor diet, poor sleep, recreational screen time, and alcohol and tobacco use-collectively known as the "Big 6" emerge during adolescence and significantly contribute to chronic disease development into adulthood. To address this issue, the Health4Life program targeted the Big 6 risk behaviours simultaneously via a co-designed eHealth school-based multiple health behaviour change (MHBC) intervention. This study used multiple causal mediation analysis to investigate some potential mediators of Health4Life's effects on the Big 6 primary outcomes from a cluster randomised controlled trial of Health4Life among Australian school children. Mediators of knowledge, behavioural intentions, self-efficacy, and self-control were assessed. The results revealed a complex pattern of mediation effects across different outcomes. Whilst there was a direct effect of the intervention on reducing moderate-to-vigorous physical activity risk, the impact on sleep duration appeared to occur indirectly through the hypothesised mediators. Conversely, for alcohol and tobacco use, both direct and indirect effects were observed in opposite directions cancelling out the total effect (competitive partial mediation). The intervention's effects on alcohol and tobacco use highlighted complexities, suggesting the involvement of additional undetected mediators. However, little evidence supported mediation for screen time and sugar-sweetened beverage intake risk. These findings emphasise the need for tailored approaches when addressing different risk behaviours and designing effective interventions to target multiple health risk behaviours. The trial was pre-registered with the Australian and New Zealand Clinical Trials Registry: ACTRN12619000431123.

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Abstract This article aims to identify the association of sociodemographic factors and lifestyle behaviours with bullying perpetration and victimization among high school students. The adolescents (n=852) answered a questionnaire about bullying (victims and perpetrators), sociodemographic factors (sex, age, maternal education, and participant's work status), tobacco use, alcohol use, illicit drug experimentation, physical activity, screen time, and sleep duration. Multilevel logistic regression models were performed. Older adolescents were less likely to be victims of bullying. Females were less likely to be perpetrators or victims of bullying. Adolescents who were working were more likely to be involved in bullying in both forms. Participation in non-sport activities and alcohol consumption were associated with higher odds of bullying victimization. We have identified specific populational subgroups that are more susceptible to being victims and/or perpetrators of bullying, which could support tailor-specific interventions to prevent bullying.

Resumo O objetivo deste artigo é identificar a associação de fatores sociodemográficos e comportamentos de estilo de vida com a perpetração do bullying e da vitimização entre os alunos do ensino médio. Os adolescentes (n=852) responderam a um questionário sobre bullying (vítimas e perpetradores), fatores sociodemográficos (sexo, idade, educação materna e status profissional dos participantes), uso de tabaco, uso de álcool, experimentação de drogas ilícitas, atividade física, tempo de tela e duração do sono. Modelos de regressão logística multinível foram realizados. Os adolescentes mais velhos eram menos propensos a serem vítimas de bullying. As mulheres tinham menos probabilidade de serem perpetradoras ou vítimas de bullying. Os adolescentes que estavam trabalhando tinham maior probabilidade de estarem envolvidos em bullying em ambas as formas. A participação em atividades não esportivas e o consumo de álcool estavam associados a maiores probabilidades de vitimização por bullying. Identificamos subgrupos populacionais específicos que são mais suscetíveis a serem vítimas e/ou perpetradores de bullying, o que poderia apoiar intervenções específicas sob medida para evitar o bullying.

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OBJECTIVES: Few are the longitudinal studies on the changes in moderate or severe symptoms of anxiety or depression (MSS-ANXDEP) from before to during the COVID-19 pandemic in Canada. The aim was to study the change in MSS-ANXDEP and associated sociodemographic, economic, psychosocial, health behaviour and lifestyle, and clinical factors. METHODS: The current sample includes 59,997 adults aged ≥ 35 years participating in the 2018 and 2020 health surveys of the 5 established cohorts of the Canadian Partnership for Tomorrow's Health (CanPath). MSS-ANXDEP was based on a cutoff score ≥ 10 on the 7-item Generalized Anxiety Disorder Scale and Patient Health Questionnaire (PHQ-8). Change in MSS-ANXDEP was categorized as follows: no MSS-ANXDEP, remitted, incident, and persistent. Multinomial regressions were used to study MSS-ANXDEP as a function of sociodemographic, economic, psychosocial, health behaviours and lifestyle, and clinical factors. RESULTS: Sociodemographic and economic (i.e. age, gender, cohort, race/ethnicity, lower income, decreased in income, work status, being an essential worker), lifestyle and health behaviours (i.e. smoking, cannabis and alcohol use, drinking more alcohol), psychosocial (i.e. provide help to others, information and instrumental support, and change in relationships with friends, family, and partner) and clinical factors (i.e. lifetime mental disorder and multimorbidity) were associated with remitted, incident, and persistent MSS-ANXDEP. CONCLUSION: Health and socio-economic factors were associated with changes in symptoms of anxiety and depression during the pandemic, further increasing inequities in mental health needs. Public health campaigns on the importance of healthy behaviours should continue and health policies should reduce economic and social barriers to integrated substance use and mental health care.

RéSUMé: OBJECTIFS: Les études longitudinales sur l'évolution des symptômes modérés ou sévères d'anxiété ou de dépression (SMS-ANXDEP) avant et pendant la pandémie de COVID-19 au Canada sont rares. L'objectif était d'étudier l'association entre l'évolution des SMS-ANXDEP et les facteurs sociodémographiques, économiques, psychosociaux, cliniques et liés aux comportements et au mode de vie, avant et pendant la pandémie. MéTHODES: Ce grand échantillon comprend 59 997 adultes âgés de ≥ 35 ans qui ont participé aux enquêtes de santé 2018 et 2020 des 5 cohortes établies du Partenariat canadien pour la santé de demain (CanPath). La présence de SMS-ANXDEP a été définie par un résultat ≥ 10 sur les échelles Generalized Anxiety Disorder Scale à 7 items (GAD-7) et Patient Health Questionnaire (PHQ-8). Les changements dans les SMS-ANXDEP ont été catégorisés selon les patrons temporels suivants : absence, rémission, incidence et persistance de SMS-ANXDEP. Des régressions multinomiales multivariées ont été utilisées pour étudier les patrons temporels de SMS-ANXDEP en fonction, des facteurs socio-démographiques, économiques, associés au style de vie et aux comportements de santé, psychosociaux et cliniques. RéSULTATS: Les facteurs socio-démographiques et économiques (âge, genre, cohorte, race/ethnie, revenu inférieur, diminution du revenu, statut d'emploi, être un travailleur essentiel), associés au style de vie et aux comportements de santé (tabagisme, consommation de cannabis et d'alcool, consommation accrue d'alcool), psychosociaux (offrir de l'aide pendant la pandémie, soutien en information et instrumental, changement dans les relations avec les amis, la famille et la personne partenaire) et cliniques (trouble mental au cours de la vie, multimorbidité) étaient associés à la présence de SMS-ANXDEP en rémission, incident et persistant. CONCLUSION: Les patrons temporels des SMS-ANXDEP pendant la pandémie étaient associés aux facteurs socio-économiques et de santé, suggérant des inégalités accrues en matière de besoins de santé mentale. Les campagnes de santé publique sur l'importance d'adopter des comportements sains devraient continuer et les politiques de santé devraient réduire les barrières économiques et sociales aux soins intégrés de santé mentale et de toxicomanie.

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Objectives: To investigate the association between health literacy (HL) and unhealthy lifestyle behaviours and to explore the moderating role of social connectedness in this relationship in older adults in Switzerland. Methods: We used data from 1,455 respondents to Wave 8 of the Survey of Health, Ageing, and Retirement in Europe (SHARE). Associations between the number of unhealthy lifestyle behaviours (smoking, risky alcohol consumption, suboptimal daily consumption of fruits/vegetables, lack of vigorous physical activity) and HL were examined using multivariable Poisson regression models, which allowed for interactions between HL and social connectedness to test the moderation hypothesis. Results: Respondents with inadequate HL were significantly more likely to have a higher number of unhealthy lifestyle behaviours than respondents with sufficient HL. We found a stronger positive association between inadequate HL and the number of unhealthy lifestyle behaviours among socially isolated individuals. Conclusion: Greater social connectedness seems to buffer the negative impact of inadequate HL on unhealthy lifestyle behaviours in older adults, highlighting the importance of good HL for healthy lifestyles, especially in individuals with low social reserve.

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Engaging in unhealthy lifestyles may be considered a risk factor for mental health problems, but there is limited evidence. This study aimed to identify the relationship between unhealthy lifestyles and mental health problems among Myanmar school-going adolescents. Global School Based Student Health Survey (GSHS) data from 2838 school-going adolescents from Myanmar were analysed. Bivariable and multivariable logistic regression analyses were applied. After adjusting for confounding variables, adolescents who were seated for more than three hours per day had higher odds of loneliness, anxiety-induced sleep disturbance, suicide ideation, and suicide attempts compared to others. Moreover, students who ate fruit less than one time per day were more likely to experience anxiety-induced sleep disturbance and suicidal ideation. Being a current drinker was significantly associated with suicidal ideation and attempt. Obese students were more likely to feel lonely compared to normal weight students. Our study indicates there is a strong association between unhealthy lifestyle behaviours and mental health problems among school adolescents in Myanmar.

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BACKGROUND: Body composition between prepubertal children and adolescents varies, and it is unclear how physical activity and sedentary behaviour affect adolescent body composition. OBJECTIVES: This study aimed to examine the associations of physical activity and screen time with overall and specific fat depots in the general adolescent population. METHODS: In a population-based prospective cohort study, among 3258 adolescents aged 13 years, physical activity and screen time were assessed via self-report questionnaires. Body mass index, dual-energy X-ray absorptiometry-based measures (i.e. fat mass and lean body mass) and magnetic resonance imaging-based measures (i.e. abdominal subcutaneous and visceral fat mass) were obtained. RESULTS: After adjusting for social-demographic and growth-related factors, each additional hour of daily physical activity was associated with lower fat mass, abdominal visceral fat mass and higher lean body mass (all p < 0.05). However, these associations were not observed in the longitudinal analyses. Each additional hour of daily screen time was associated with higher body mass index, fat mass, abdominal subcutaneous and visceral fat mass (all p < 0.05), which were consistent with the longitudinal analyses. CONCLUSION: Adolescents with higher physical activity and lower screen time had lower levels of adiposity both at the general and visceral levels.

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BACKGROUND: Clients with severe mental illness (SMI) have overall poor physical health. SMI reduces life expectancy by 5-17 years, primarily due to physical comorbidity linked to cardiometabolic risks that are mainly driven by unhealthy lifestyle behaviours. To improve physical health in clients with SMI, key elements are systematic somatic screening and lifestyle promotion. The nurse-led GILL eHealth was developed for somatic screening and the implementation of lifestyle activities in clients with SMI. Aims of this study are to evaluate the effectiveness of the GILL eHealth intervention in clients with SMI compared to usual care, and to evaluate the implementation process, and the experiences of clients and healthcare providers with GILL eHealth. METHODS: The GILL study encompasses a cluster-randomised controlled trial in approximately 20 mental health care facilities in the Netherlands. The randomisation takes place at the team level, assigning clients to the eHealth intervention or the usual care group. The GILL eHealth intervention consists of two complementary modules for somatic screening and lifestyle promotion, resulting in personalised somatic treatment and lifestyle plans. Trained mental health nurses and nurse practitioners will implement the intervention within the multidisciplinary treatment context, and will guide and support the participants in promoting their physical health, including cardiometabolic risk management. Usual care includes treatment as currently delivered, with national guidelines as frame of reference. We aim to include 258 clients with SMI and a BMI of 27 or higher. Primary outcome is the metabolic syndrome severity score. Secondary outcomes are physical health measurements and participants' reports on physical activity, perceived lifestyle behaviours, quality of life, recovery, psychosocial functioning, and health-related self-efficacy. Measurements will be completed at baseline and at 6 and 12 months. A qualitative process evaluation will be conducted alongside, to evaluate the process of implementation and the experiences of clients and healthcare professionals with GILL eHealth. DISCUSSION: The GILL eHealth intervention is expected to be more effective than usual care in improving physical health and lifestyle behaviours among clients with SMI. It will also provide important information on implementation of GILL eHealth in mental health care. If proven effective, GILL eHealth offers a clinically useful tool to improve physical health and lifestyle behaviours. TRIAL REGISTRATION: Clinical trial registration NCT05533749, registration date: 8 September 2022.

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