International Journal of Behavioral Nutrition and Physical Activity最新文献

{"title":"Effectiveness of a female community health volunteer-led physical activity education intervention on accelerometer-derived outcomes in semi-urban Nepal: an open-label, cluster randomised controlled trial.","authors":"Rajan Shrestha, Susan Paudel, Anupa Rijal, Tara Ballav Adhikari, Philippe Jean-Luc Gradidge, Bijay Khatri, Dinesh Neupane, Sebastian Dyrup Skejø, Abhinav Vaidya, Taren Sanders, Chris Lonsdale, Narayan Subedi, Sweta Koirala, Per Kallestrup, Rasmus Østergaard Nielsen","doi":"10.1186/s12966-026-01894-0","DOIUrl":"10.1186/s12966-026-01894-0","url":null,"abstract":"<p><p>BACKGROUND: Physical inactivity is a growing public health challenge in low- and middle-income countries (LMICs), yet evidence on scalable, community-based interventions remains limited. We evaluated the effectiveness of a Female Community Health Volunteers (FCHVs)-led, home-based educational programme in promoting physical activity in semi-urban Nepal. METHODS: We conducted a six-month, open-label, cluster-randomised controlled trial among adults in 14 wards of Pokhara, Nepal, with seven clusters each assigned to intervention or control. Trained FCHVs made three home visits, one per month, delivering two-hour sessions promoting physical activity, using materials co-designed with guidance from the Theory of Planned Behaviour. The main outcome was the change in daily device-measured moderate-to-vigorous physical activity (MVPA) from baseline to follow-up. RESULTS: Among 264 participants (132 in the intervention arm and 132 in the control arm; mean age 49.6 years; 67.5% women) in intention-to-treat analysis, device-measured MVPA declined over six months. However, compared with the control group, the intervention group had a 9.80 min/day smaller decline in non-bout MVPA (95% CI: 0.41–19.18; p = 0.041) and a 4.53 min/day smaller decline in MVPA accumulated in ≥ 10-min bouts (95% CI: 0.29–8.77; p = 0.036). Positive effects were observed in between-group average acceleration (+ 1.84 mg, p = 0.035). CONCLUSIONS: Although MVPA declined in both groups over six months, the FCHV-led, home-based educational intervention attenuated this decline compared to usual care. These findings suggest that existing health volunteer-led education may contribute to maintaining physical activity levels in semi-urban populations. TRIAL REGISTRATION: Trial registration clinicaltrials.gov Identifier: NCT06386692. </p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13049831/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147277520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping determinants of alternative protein food intake across 13 European countries: food system stakeholders' perspectives.","authors":"Hanna Zaleskiewicz, Ewa Kulis, Zofia Szczuka, Anna Banik, Gabriela Alcat, Concha Ávila, Isabel Cardoso, Feyza Başak Coşkun, Anna Kornafel, Lisa Mai, Lisa Kolden Midtbø, Jowita Misiakowska, Maja Oblak, Vesna Miličić, Pedro Queiroz, Giorgia Sabbatini, Britt Sandvad, Maria Siwa, Per Solibakke, Šárka Stejnarová, Katharina Stollewerk, Rosa Strube, Eleni Tsapa, Ariane Voyatzakis, Eirini Xaxiri, Aleksandra Luszczynska","doi":"10.1186/s12966-026-01891-3","DOIUrl":"10.1186/s12966-026-01891-3","url":null,"abstract":"<p><p>BACKGROUND: Using the system mapping approach, this study aimed to map the system of potential determinants of including alternative protein food (APF) into the daily diet across 13 European countries. We also aimed to identify key leverage points in the systems, which are determinants that are most interconnected with other determinants in the system. Similarities in leverage points and feedback loops found across the system maps were investigated. METHODS: Food system stakeholders (N = 166; including food producers, food processors, policy makers, nutritionists, consumers, etc.) participated in 17 system mapping workshops, conducted in Austria, the Czech Republic, Denmark, France, Germany, Greece, Italy, Norway, Portugal, Slovenia, Spain, Turkey, and Poland. Group model building methods were applied to develop 17 maps. Centrality indices were calculated, feedback loops were identified, and similarities between countries were explored. RESULTS: Key leverage points that were common across 6–8 maps included: consumer education and knowledge about APF, social norms, encouragement, advertising and influencers’ impact. Other common identified leverage points (present in 3–4 maps) were: health-related perceptions, curiosity/fear of novelty, national food culture, perceptions of ultra-processing, sustainability issues, and animal welfare issues. Overall, stakeholders emphasized consumers as central actors in the food system. Feedback loops identified in the study, revealed some common within-country pathways. For example, half of the feedback loops shown in the Italian maps included a potentially reinforcing upward spiral. Stakeholders perceived that higher APF product safety may facilitate advertising APF (e.g., as healthy), which in turn could increase consumers’ curiosity and/or beliefs that APF is healthy and sustainable. This was perceived as facilitating local development and job creation, food prices reduction, and further developments in food safety. CONCLUSIONS: The findings offer new insights into the complexities of European food systems and may contribute to the broader uptake of APF. Identifying leverage points and feedback loops may inspire food system stakeholders to design novel interventions. For example, these interventions could involve influencers to familiarize consumers with APF, promote knowledge about healthiness and safety of APF, as well as link APF consumption with positive emotions and social approval. </p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13032592/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146229655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Post-rehabilitation self-management support on physical activity and nutrition, including mHealth, improves physical capacity, physical activity, and health related quality of life in people with Parkinson's- results from a randomised controlled trial.","authors":"Sigrid Ryeng Alnes, Ellisiv Laerum-Onsager, Asta Bye, Annette Vistven, Erika Franzén, Mette Holst, Therese Brovold","doi":"10.1186/s12966-026-01888-y","DOIUrl":"10.1186/s12966-026-01888-y","url":null,"abstract":"<p><p>BACKGROUND: Maintaining long-term engagement in physical activity (PA) and following nutrition recommendations after rehabilitation is challenging for people with Parkinson’s. Sustained behavioural change requires more than initial education; person-centred, self-management support may be key to maintain health-promoting routines. However, structured follow-up is often lacking. Digital health interventions, including mobile health (mHealth), offer scalable solutions to provide ongoing support beyond rehabilitation. This study aimed to examine the effect of an individualised, mHealth support programme targeting self-management of PA, and nutrition on physical capacity, nutritional status, HRQOL, Physical function and engagement in PA in people with Parkinson’s. METHODS: A single-blind, two-arm randomised controlled trial evaluating the effects of a six-month individualised mHealth self-management support programme on physical capacity and related outcomes in people with Parkinson’s following inpatient interdisciplinary rehabilitation. Participants were randomly assigned (1:1) to an intervention group (mHealth); monthly remote consultations plus activity tracker, or a control group; usual care. The primary outcome was physical capacity (6MWT). Secondary outcomes were nutritional status (PG-SGA SF), Health Related Quality of Life (PDQ-39), physical function and engagement in PA (self-reported PA and activity tracker data). Linear mixed models for repeated measures were used to assess group differences over time. RESULTS: A total of 100 participants (40% female, mean age 67,5 years) were randomised (50 per group). At six months we observed significant between-group differences on 6MWT in favour of the intervention group (mean: 33.1 m; 95% CI: 14.8 to 51.3; p < 0.001; effects size = 0.75). Significant between-group differences were also observed in PDQ-39 SI(mean: -6.1; 95% CI: -9.5 to -2.8; p < 0.001; effect size 0.93) and in physical activity frequency (p = 0.02; effect size = 0.51). Additionally, the mHealth group significantly increased their daily steps (p = 0.006) and weekly intensity minutes (p = 0.042). No significant differences were found for nutritional status, or physical function. CONCLUSIONS: The six-month mHealth self-management support programme improved physical capacity, Health Related Quality of Life, and physical activity in people with Parkinson’s post-rehabilitation. These findings highlight the potential of scalable, person-centred digital self-management support interventions to sustain health-promoting behaviours beyond clinical settings. TRIAL REGISTRATION: The study was registered on ClinicalTrials under the code NCT04945876: https://clinicaltrials.gov/expert-search?term=NCT04945876 . First registration March 1, 2021. </p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13019928/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146214781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An environmental physical activity and nutrition intervention in early childhood education and care settings: process evaluation of the NAPSACC UK multi-centre cluster RCT.","authors":"Jemima Cooper, Kim Hannam, Stephanie Chambers, Tom Reid, Russell Jago, Zoi Toumpakari, Sharon Anne Simpson, Miranda Pallan, Madeleine Cochrane, Ruth Kipping, Rebecca Langford","doi":"10.1186/s12966-026-01882-4","DOIUrl":"10.1186/s12966-026-01882-4","url":null,"abstract":"<p><strong>Background: </strong>Most children attend early childhood education care settings (ECEC settings), commonly known as nurseries in the United Kingdom. ECEC settings provide opportunities to improve health through improved nutritional quality and physical activity for young children. There is evidence from the US that the NAPSACC intervention improves nutrition and physical activity in ECEC settings. We adapted NAPSACC for the UK and investigated its fidelity, acceptability and sustainability within a multi-centre trial.</p><p><strong>Methods: </strong>Embedded process evaluation within a 12-month cluster randomised controlled trial with 52 ECEC settings (25 intervention and 27 control). The NAPSACC UK intervention comprised two six-month cycles of nutrition and activity self-assessment, staff workshops and goal setting, supported by public health practitioners. Data included: observations during training and workshop delivery, questionnaires to practitioners and ECEC setting staff; 11 interviews with practitioners who delivered the intervention, 11 ECEC setting managers, 5 commissioners, and two focus groups with the research team. Document analysis of self-assessment and goal setting forms was undertaken. Thematic analysis was conducted with both deductive and inductive codes, a coding framework and triangulation across data sources.</p><p><strong>Results: </strong>Three-quarters (19/25) of intervention ECEC settings implemented the NAPSACC intervention across one cycle. Only 40% implemented a second cycle, mainly due to delays in scheduling staff workshops caused by sector-wide staffing challenges. ECEC setting managers valued the opportunity to reflect on practice and the support offered by the practitioner. ECEC setting staff highly rated the workshops and valued support given by public health practitioners. 83% of nutrition and 70% of physical activity goals set by the ECEC settings were achieved (fully or partially) and self-assessment scores increased, with greater gains for ECEC settings implementing two cycles. ECEC setting managers planned to maintain the changes made but varied in their intention to continue self-assessment and goal-setting processes.</p><p><strong>Conclusions: </strong>Despite sector-wide staffing challenges, we saw high engagement from ECEC settings in self-assessment and setting goals to improve child nutrition and activity. However, future development and use of NAPSACC UK need to be considered in the context of a lack of measurable impact on objective measures of child health and the significant challenges of staff capacity and time.</p><p><strong>Trial registration: </strong>ISRCTN33134697, 31/10/2019.</p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13014976/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146195940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictors of long-term maintenance of changes in fruit and vegetables intake: a longitudinal analysis within a randomized controlled community trial.","authors":"Maria Cecília Ramos de Carvalho, Aline Cristine Souza Lopes","doi":"10.1186/s12966-026-01875-3","DOIUrl":"10.1186/s12966-026-01875-3","url":null,"abstract":"<p><strong>Background: </strong>Individual characteristics can be associated with maintaining adequate FV intake over time. Thus, we aimed to identify factors associated with maintaining changes in fruit/vegetable (FV) intake at 48 months.</p><p><strong>Methods: </strong>Longitudinal analysis of data from a randomized trial carried out in a health promotion service, including individuals with positive changes in FV intake after intervention. FV intake was assessed at 48 months, compared to 12 months to identify whether maintenance was associated with demographics, health data, stages of change, self-efficacy, and decisional balance, using multivariate regression.</p><p><strong>Results: </strong>We included 2,232 participants, 88.4% were women, 46.6% were maintainers at 48 months. Maintainers were older, had lower schooling and baseline FV intake, had been in the service for longer, and increased FV intake between 12 and 48 months while non-maintainers decreased it. Being older or in the service for 36 + months were associated with 1% and 30% higher odds of maintenance; higher baseline FV intake and self-efficacy were associated with 1% and 2% lower odds of maintenance.</p><p><strong>Conclusions: </strong>Maintenance of changes in FV intake was associated with higher age, a longer time in the service, and lower baseline FV intake and self-efficacy. Health promotion services should aim for participant retention, and interventionists should pay attention to participants who might face more barriers for maintenance.</p><p><strong>Trial registration: </strong>RBR-9h7ckx. Date of registration: August 12, 2015.</p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12977844/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146137978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital health interventions for promoting adults lifestyle behaviors: who is being left behind? An evidence synthesis of social inequality.","authors":"Jiajun Jiang, Qiying Zhong, Zhihua Yin, Qingyuan Zhou, Yanfang Wang, Zijun Yan","doi":"10.1186/s12966-026-01874-4","DOIUrl":"10.1186/s12966-026-01874-4","url":null,"abstract":"<p><p>BACKGROUND: Digital health interventions have gained increasing prominence worldwide and demonstrate substantial potential for promoting healthy lifestyle behaviors. However, accumulating evidence suggests that not all population groups benefit equally from these interventions, raising concerns about persistent social inequalities in access, engagement, and outcomes. METHODS: This study conducted an umbrella review to systematically synthesize evidence from review-level studies that examined social inequality indicators in digital health interventions targeting lifestyle behaviors among adults. Comprehensive searches were performed across seven electronic databases, identifying 41 eligible reviews published between January 2000 and June 2025. Data were extracted on targeted behavioral domains, intervention outcomes, and reported social inequality indicators. RESULTS: The included reviews primarily focused on interventions targeting physical activity and diet, followed by sedentary behavior and sleep, with behavioral outcomes serving as the main evaluation metrics. Among social inequality indicators, age, gender, and place of residence were most frequently reported. In contrast, indicators such as income, race/ethnicity, socioeconomic status, education, digital health literacy, and employment were substantially underrepresented. This uneven distribution indicates significant gaps in the current evidence base and suggests that the differential effects of digital health interventions across social groups may be underestimated or overlooked. CONCLUSIONS: Current review-level evidence on digital health interventions insufficiently captures the full spectrum of social inequalities shaping intervention access, engagement, and benefits. To support more equitable and inclusive health promotion strategies, future research should systematically incorporate a broader range of social inequality indicators and conduct in-depth analyses of the mechanisms underlying unequal intervention effects across diverse demographic and socioeconomic groups. </p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12977709/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146133430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Obesogenic behaviors during structured periods among children and adolescents with intellectual and developmental disabilities: a systematic review and meta-analysis.","authors":"Keagan P Kiely, Keith Brazendale, McKenna Hill, Sarah Burkart, Michael W Beets, Elizabeth L Adams, Bridget Armstrong, Christine St Laurent, Abigail Hogan, James W White Iii, Olivia Finnegan, Joshua Culverhouse, Anthony Holmes, R Glenn Weaver","doi":"10.1186/s12966-026-01881-5","DOIUrl":"10.1186/s12966-026-01881-5","url":null,"abstract":"<p><strong>Background: </strong>Children and adolescents with intellectual and developmental disabilities (IDD) are at greater risk for obesity and poor obesogenic behaviors (e.g., physical activity, screen time, diet, sleep) than their typically developing counterparts. The Structured Days Hypothesis (SDH) suggests that in typically developing children and adolescents, obesogenic behaviors worsen during periods of reduced structure (e.g., weekend or summer vacation). However, children and adolescents with IDD have unique factors that may alter how structure (i.e., pre-planned, segmented, adult supervised, out-of-home programs) influences obesogenic behaviors. Therefore, the objective of this systematic review and meta-analysis is to examine obesogenic behaviors during periods of more and less structure among children and adolescents with IDD.</p><p><strong>Methods: </strong>A comprehensive search of PubMed, PsycINFO, Embase, and Web of Science was performed through the end of 2024 based on the PICO framework. Studies were eligible if they included youth with IDD and measured obesogenic behaviors across contexts with differing degrees of structure. Two reviewers independently completed the screening process, extracted all relevant information, and evaluated methodological quality using the NHLBI tool. Results were synthesized using fixed- and random-effects meta-analyses and visually represented with forest plots.</p><p><strong>Results: </strong>A total of 4,236 papers were screened with 323 full-text articles retrieved. After screening, 33 total studies were identified (physical activity = 23, sedentary behaviors = 12, sleep = 11, diet = 1). Meta-analyses indicated that the standardized mean difference of physical activity (Random = 0.27, [95%CI: 0.13-0.40], p < 0.00), and diet (0.16, [95%CI: 0.03-0.29], p = 0.02) aligned with the SDH while sleep (Random = -0.01, [95%CI: -0.16-0.14], p = 0.88), sedentary and screen time (Random = -0.01, [95%CI: -0.38-0.36], p = 0.95) did not align.</p><p><strong>Conclusions: </strong>Periods of greater structure were associated with more favorable physical activity and diet outcomes among children and adolescents with IDD, although evidence for dietary behaviors was limited. Findings support the relevance of the SDH in this population while highlighting substantial gaps in the literature, including small study numbers and methodological heterogeneity. Future research using rigorous, longitudinal designs is needed to better understand the relationship between structure and obesogenic behaviors among children and adolescents with IDD.</p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12973698/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146127377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The development of the EUropean Physical Activity Determinants framework for Adolescents (EU-PAD-A): a mixed-methods concept mapping study within the DE-PASS COST action.","authors":"Andrea Fusco, Cristina Cortis, Paul Jarle Mork, Daniele Conte, Francesca Di Rocco, Emanuel Festino, Pascal Izzicupo, Stefania Orrù, Anne Lovise Nordstoga, Olga Papale, Marianna De Maio, Valentina Presta, Padraic Rocliffe, Laura Capranica, Ciaran MacDonncha, Giancarlo Condello","doi":"10.1186/s12966-026-01878-0","DOIUrl":"10.1186/s12966-026-01878-0","url":null,"abstract":"<p><p>BACKGROUND: Most European adolescents do not meet recommended levels of physical activity (PA), increasing their risk of long-term health issues and contributing to the burden of non-communicable diseases. To address this public health challenge, there is a need for evidence-based, age-specific frameworks that identify the key determinants influencing PA behaviours during adolescence, a critical developmental stage for habit formation. METHODS: This study developed the EUropean Physical Activity Determinants framework for Adolescents (EU-PAD-A) and identified the most important and modifiable factors that can inform targeted interventions and public policy. Using Group Concept Mapping analysis, 240 experts contributed to the identification, sorting, and rating of PA determinants for adolescents. RESULTS: A total number of 110 determinants were grouped into nine thematic clusters. Determinants were rated for importance and modifiability, with 53% (n = 58) scoring high on both dimensions. To refine priorities for policy and practice, a focus group of experts and a survey involving 60 policy makers and stakeholders were conducted. This process led to the identification of the top 10 actionable determinants, defined as those rated highly for importance and modifiability by experts and for impact and feasibility by policy makers and stakeholders, including availability of indoor and outdoor PA facilities, beliefs about PA, and inclusive school programs. CONCLUSIONS: The results highlight school, family, and socio-cultural environments as critical settings for intervention. The EU-PAD-A framework offers a novel, interdisciplinary, and age-specific tool for understanding and addressing the complex drivers of adolescent PA. It provides concrete, consensus-based guidance for designing policies and programs that are feasible, impactful, and grounded in scientific evidence. As such, it represents an important step toward improving PA levels and reducing sedentary behaviour among adolescents across Europe. </p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12973781/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146127374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bidirectional associations between smart device use and body mass index among children aged 3 to 5 years: a longitudinal study.","authors":"Pairote Chakranon, Jian-Pei Huang, Heng-Kien Au, Hawjeng Chiou, Chen-Li Lin, Yi-Yung Chen, Shih-Peng Mao, Pilyoung Kim, Hsueh-Wen Hsu, Yi-Hua Chen","doi":"10.1186/s12966-026-01883-3","DOIUrl":"10.1186/s12966-026-01883-3","url":null,"abstract":"<p><strong>Background: </strong>The increase in smart device use, including smartphones and tablets, among young children has raised concerns about its impact on health, particularly on body mass index (BMI). However, the bidirectional associations between smart device use and BMI in preschoolers remain unclear. This study examined the longitudinal associations, considering the moderating effects of mother-child interactions and child sex.</p><p><strong>Methods: </strong>Data were obtained from the Longitudinal Examination Across Prenatal and Postpartum Health in Taiwan, a cohort study conducted in Taipei, Taiwan. In total, 590 preschoolers were assessed at ages 3, 4, and 5 years. Smart device use, BMI z-scores, and mother-child interaction quality were evaluated using validated parent-reported questionnaires. The random-intercept cross-lagged panel model was used to investigate bidirectional associations, adjusting for stable confounders. Multiple-group models examined the moderating effects of mother-child interactions and child sex. Model estimates were reported as standardized coefficients.</p><p><strong>Results: </strong>Higher BMI z-scores at age 4 years were linked to increased device use at age 5 years (β = 0.36; 95% CI, 0.05-0.67). Multiple-group models revealed that among dyads with lower mother-child interactions, higher device use at age 3 years was associated with higher BMI at age 4 years (β = 0.40; 95% CI, 0.07 to 0.72), which was subsequently linked to greater device use at age 5 years (β = 0.50; 95% CI, 0.10 to 0.90). Additionally, higher device use at age 4 years was associated with higher BMI at age 5 years (β = 0.65; 95% CI, 0.31 to 1.00). A similar bidirectional pattern was observed among boys, while no significant cross-lagged associations were found among girls. In contrast, high-quality mother-child interactions revealed higher device use at age 4 years was associated with lower BMI at age 5 years, suggesting a protective role against prolonged device use and subsequent BMI increases.</p><p><strong>Conclusions: </strong>Our study indicates bidirectional associations between smart device use and BMI among preschoolers, emphasizing the protective role of high-quality mother-child interactions. Interventions should focus on enhancing parent-child relationships, limiting device use, and promoting active engagement. Future studies should investigate the effect of media content and children's self-regulation on these associations.</p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12958733/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146120458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of public policy on socioeconomic equity in physical activity: a systematic review.","authors":"Fleur Heuvelman, Leonie Birkholz, Antonina Tcymbal, Jeroen Lakerveld, Joline W J Beulens, Catherine Woods, Karim Abu-Omar, Kevin Volf, Petru Sandu, Rasa Jankauskiene, Anna Gobis, Joanna Wachnicka, Joanna Żukowska, Peter Gelius, Linda J Schoonmade, Sven Messing, Nicolette R den Braver","doi":"10.1186/s12966-026-01880-6","DOIUrl":"10.1186/s12966-026-01880-6","url":null,"abstract":"<p><p>BACKGROUND: Increasing population-level physical activity (PA) requires system-level policy action. However, public policies targeting the general population, without addressing socially disadvantaged populations, might unintentionally increase socioeconomic inequities in PA. This is particularly concerning since disadvantaged groups are less likely to meet PA recommendations to begin with. This systematic review assesses evidence on the effects of public policies on equity in PA. METHODS: A literature search was performed in seven bibliographic databases on May 7, 2024, in collaboration with a librarian. Studies were included if they a) focused on changes in PA behaviour, PA proxies, or the PA environment as outcomes, b) examined public policy as the independent variable, and c) included a low socioeconomic status (SES) (sub)population. Screening was done in duplicate. Key data extracted included: public policy information, target population and/or SES subgroup measures, PA outcomes, and equity-related findings. Policies were grouped into domains aligned with the eight investments of the International Society for Physical Activity and Health and categorized based on their impact on inequities: reduction, increase, no effect, or mixed effects. RESULTS: Out of 10,350 records screened, 81 studies were included. Results showed that 27% of the public policies reduced inequities, 38% had no effect, 10% increased them, and 25% had mixed effects. The fewest PA policies were identified in the healthcare (n = 2) and workplace (n = 0) domains, the most in the community-wide domain (n = 22). Based on the available evidence, the school, transport, community-wide, and mass media policy domains most frequently demonstrated potential to reduce inequities in PA and/or to benefit high and low SES populations equally. Policies that most consistently reduced inequities or had a neutral equity effect included a) infrastructure policies, b) financial incentives supporting active transport, c) multi-component school-based PA and health policy programmes, d) school physical education policies, and e) policies supporting mass media campaigns. Conversely, urban design and sport for all policies varied in their effects on inequities. CONCLUSIONS: Most policies do not appear to exacerbate inequities. Policies in the school, transport, community-wide, and mass media domains show particular promise for promoting PA in an equitable way. These findings offer valuable insights for future policymaking. </p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12964968/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146120506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}