Gwenndolyn C Porter, Jennie L Hill, Kate A Heelan, R Todd Bartee, Caitlin A Golden, Ali Malmkar, Bryce A Abbey, Paul A Estabrooks
{"title":"Using a customer discovery process to enhance the potential dissemination and scalability of a family healthy weight program for rural communities and small towns.","authors":"Gwenndolyn C Porter, Jennie L Hill, Kate A Heelan, R Todd Bartee, Caitlin A Golden, Ali Malmkar, Bryce A Abbey, Paul A Estabrooks","doi":"10.1186/s12966-024-01605-7","DOIUrl":"10.1186/s12966-024-01605-7","url":null,"abstract":"<p><strong>Aim: </strong>Customer discovery, an entrepreneurial and iterative process to understand the context and needs of potential adoption agencies, may be an innovative strategy to improve broader dissemination of evidence-based interventions. This paper describes the customer discovery process for the Building Healthy Families (BHF) Online Training Resources and Program Package (BHF Resource Package) to support rural community adoption of an evidence-based, family healthy weight program.</p><p><strong>Methods: </strong>The customer discovery process was completed as part of a SPeeding Research-tested INTerventions (SPRINT) training supported by the U.S. Centers for Disease Control and Prevention. Customer discovery interviews (n=47) were conducted with people that could be potential resource users, economic buyers, and BHF adoption influencers to capture multiple contextual and needs-based factors related to adopting new evidence-based interventions. Qualitative analyses were completed in an iterative fashion as each interview was completed.</p><p><strong>Results: </strong>The BHF Resource Package was designed to be accessible to a variety of implementation organizations. However, due to different resources being available in different rural communities, customer discovery interviews suggested that focusing on rural health departments may be a consistent setting for intervention adoption. We found that local health departments prioritize childhood obesity but lacked the training and resources necessary to implement effective programming. Several intervention funding approaches were also identified including (1) program grants from local and national foundations, (2) healthcare community benefit initiatives, and (3) regional employer groups. Payment plans recommended in the customer discovery interviews included a mix of licensing and technical support fees for BHF delivery organizations, potential insurance reimbursement, and family fees based on ability to pay. Marketing a range of BHF non-weight related outcomes was also recommended during the customer discovery process to increase the likelihood of BHF scale-up and sustainability.</p><p><strong>Conclusions: </strong>Engaging in customer discovery provided practical directions for the potential adoption, implementation, and sustainability of the BHF Resource Package. However, the inconsistent finding that health departments are both the ideal implementation organization, but also see childhood obesity treatment as a clinical service, is concerning.</p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11093725/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140923853","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}
Bai Li, Selene Valerino-Perea, Weiwen Zhou, Yihong Xie, Keith Syrett, Remco Peters, Zouyan He, Yunfeng Zou, Frank de Vocht, Charlie Foster
{"title":"The impact of the world's first regulatory, multi-setting intervention on sedentary behaviour among children and adolescents (ENERGISE): a natural experiment evaluation.","authors":"Bai Li, Selene Valerino-Perea, Weiwen Zhou, Yihong Xie, Keith Syrett, Remco Peters, Zouyan He, Yunfeng Zou, Frank de Vocht, Charlie Foster","doi":"10.1186/s12966-024-01591-w","DOIUrl":"10.1186/s12966-024-01591-w","url":null,"abstract":"<p><strong>Background: </strong>Regulatory actions are increasingly used to tackle issues such as excessive alcohol or sugar intake, but such actions to reduce sedentary behaviour remain scarce. World Health Organization (WHO) guidelines on sedentary behaviour call for system-wide policies. The Chinese government introduced the world's first nation-wide multi-setting regulation on multiple types of sedentary behaviour in children and adolescents in July 2021. This regulation restricts when (and for how long) online gaming businesses can provide access to pupils; the amount of homework teachers can assign to pupils according to their year groups; and when tutoring businesses can provide lessons to pupils. We evaluated the effect of this regulation on sedentary behaviour safeguarding pupils.</p><p><strong>Methods: </strong>With a natural experiment evaluation design, we used representative surveillance data from 9- to 18-year-old pupils before and after the introduction of the regulation, for longitudinal (n = 7,054, matched individuals, primary analysis) and repeated cross-sectional (n = 99,947, exploratory analysis) analyses. We analysed pre-post differences for self-reported sedentary behaviour outcomes (total sedentary behaviour time, screen viewing time, electronic device use time, homework time, and out-of-campus learning time) using multilevel models, and explored differences by sex, education stage, residency, and baseline weight status.</p><p><strong>Results: </strong>Longitudinal analyses indicated that pupils had reduced their mean total daily sedentary behaviour time by 13.8% (95% confidence interval [CI]: -15.9 to -11.7%, approximately 46 min) and were 1.20 times as likely to meet international daily screen time recommendations (95% CI: 1.01 to 1.32) one month after the introduction of the regulation compared to the reference group (before its introduction). They were on average 2.79 times as likely to meet the regulatory requirement on homework time (95% CI: 2.47 to 3.14) than the reference group and reduced their daily total screen-viewing time by 6.4% (95% CI: -9.6 to -3.3%, approximately 10 min). The positive effects were more pronounced among high-risk groups (secondary school and urban pupils who generally spend more time in sedentary behaviour) than in low-risk groups (primary school and rural pupils who generally spend less time in sedentary behaviour). The exploratory analyses showed comparable findings.</p><p><strong>Conclusions: </strong>This regulatory intervention has been effective in reducing total and specific types of sedentary behaviour among Chinese children and adolescents, with the potential to reduce health inequalities. International researchers and policy makers may explore the feasibility and acceptability of implementing regulatory interventions on sedentary behaviour elsewhere.</p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11089804/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140913172","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":"Exploring the changing association between parental and adolescent fruit and vegetable intakes, from age 10 to 30 years.","authors":"Tanya Braune, Jean Adams, Eleanor M Winpenny","doi":"10.1186/s12966-024-01604-8","DOIUrl":"10.1186/s12966-024-01604-8","url":null,"abstract":"<p><strong>Background: </strong>Adolescence is a pivotal developmental stage, where escalating rates of overweight and obesity have raised concerns about diet quality and its association with adverse health outcomes. Parents are known to have considerable influence on childhood diet, but how this influence changes as adolescents mature is unknown. This study investigates the association between parental fruit and vegetable (FV) intake and adolescent FV consumption, exploring how this changes across adolescence and when adolescents leave home.</p><p><strong>Methods: </strong>Adolescents aged 10-30 years (n = 12,805) from the UK Household Longitudinal Study (UKHLS), and their parents, reported FV intakes every 2 years. Multilevel linear regression models were fitted to assess associations between parental and adolescent FV intakes, investigating interactions with age and living arrangement, and adjusting for sociodemographic covariates.</p><p><strong>Results: </strong>Parental FV intake was positively associated with adolescent FV intake (β = 0.20 [95%CI:0.19,0.22] portions/day), with the strength of this association lowest during early adolescence (10-14 years) and peaking at 17-18 years (β = 0.30 [95%CI: 0.27,0.33] portions/day). When adolescents no longer lived in the parental home, the association of parental FV intake with adolescent FV consumption decreased, but a positive association was maintained up to age 30 years.</p><p><strong>Conclusions: </strong>Our findings emphasise the enduring effect of parental FV consumption on adolescent FV consumption, highlighting the potential for interventions to promote increased FV intake, acknowledging the lasting influence of parental diet, even beyond the confines of the parental home.</p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11083755/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140904443","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}
Ashleigh M Johnson, Chuan Zhou, Miriam Haviland, Jason A Mendoza
{"title":"Evaluation of a walking school bus program: a cluster randomized controlled trial.","authors":"Ashleigh M Johnson, Chuan Zhou, Miriam Haviland, Jason A Mendoza","doi":"10.1186/s12966-024-01602-w","DOIUrl":"10.1186/s12966-024-01602-w","url":null,"abstract":"<p><strong>Background: </strong>The purpose of this study was to investigate the effects of a walking school bus intervention on children's active commuting to school.</p><p><strong>Methods: </strong>We conducted a randomized controlled trial (RCT) in Houston, Texas (Year 1) and Seattle, Washington (Years 2-4) from 2012 to 2016. The study had a two-arm, cluster randomized design comparing the intervention (walking school bus and education materials) to the control (education materials) over one school year October/November - May/June). Twenty-two schools that served lower income families participated. Outcomes included percentage of days students' active commuting to school (primary, measured via survey) and moderate-to-vigorous physical activity (MVPA, measured via accelerometry). Follow-up took place in May or June. We used linear mixed-effects models to estimate the association between the intervention and outcomes of interest.</p><p><strong>Results: </strong>Total sample was 418 students [M<sub>age</sub>=9.2 (SD = 0.9) years; 46% female], 197 (47%) in the intervention group. The intervention group showed a significant increase compared with the control group over time in percentage of days active commuting (β = 9.04; 95% CI: 1.10, 16.98; p = 0.015) and MVPA minutes/day (β = 4.31; 95% CI: 0.70, 7.91; p = 0.02).</p><p><strong>Conclusions: </strong>These findings support implementation of walking school bus programs that are inclusive of school-age children from lower income families to support active commuting to school and improve physical activity.</p><p><strong>Trail registration: </strong>This RCT is registered at clinicaltrials.gov (NCT01626807).</p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11083767/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140904357","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}
Ivana Stankov, Jose D Meisel, Olga Lucia Sarmiento, Xavier Delclòs-Alió, Dario Hidalgo, Luis A Guzman, Daniel A Rodriguez, Ross A Hammond, Ana V Diez Roux
{"title":"Uncovering physical activity trade-offs in transportation policy: A spatial agent-based model of Bogotá, Colombia.","authors":"Ivana Stankov, Jose D Meisel, Olga Lucia Sarmiento, Xavier Delclòs-Alió, Dario Hidalgo, Luis A Guzman, Daniel A Rodriguez, Ross A Hammond, Ana V Diez Roux","doi":"10.1186/s12966-024-01570-1","DOIUrl":"10.1186/s12966-024-01570-1","url":null,"abstract":"<p><strong>Background: </strong>Transportation policies can impact health outcomes while simultaneously promoting social equity and environmental sustainability. We developed an agent-based model (ABM) to simulate the impacts of fare subsidies and congestion taxes on commuter decision-making and travel patterns. We report effects on mode share, travel time and transport-related physical activity (PA), including the variability of effects by socioeconomic strata (SES), and the trade-offs that may need to be considered in the implementation of these policies in a context with high levels of necessity-based physical activity.</p><p><strong>Methods: </strong>The ABM design was informed by local stakeholder engagement. The demographic and spatial characteristics of the in-silico city, and its residents, were informed by local surveys and empirical studies. We used ridership and travel time data from the 2019 Bogotá Household Travel Survey to calibrate and validate the model by SES. We then explored the impacts of fare subsidy and congestion tax policy scenarios.</p><p><strong>Results: </strong>Our model reproduced commuting patterns observed in Bogotá, including substantial necessity-based walking for transportation. At the city-level, congestion taxes fractionally reduced car use, including among mid-to-high SES groups but not among low SES commuters. Neither travel times nor physical activity levels were impacted at the city level or by SES. Comparatively, fare subsidies promoted city-level public transportation (PT) ridership, particularly under a 'free-fare' scenario, largely through reductions in walking trips. 'Free fare' policies also led to a large reduction in very long walking times and an overall reduction in the commuting-based attainment of physical activity guidelines. Differential effects were observed by SES, with free fares promoting PT ridership primarily among low-and-middle SES groups. These shifts to PT reduced median walking times among all SES groups, particularly low-SES groups. Moreover, the proportion of low-to-mid SES commuters meeting weekly physical activity recommendations decreased under the 'freefare' policy, with no change observed among high-SES groups.</p><p><strong>Conclusions: </strong>Transport policies can differentially impact SES-level disparities in necessity-based walking and travel times. Understanding these impacts is critical in shaping transportation policies that balance the dual aims of reducing SES-level disparities in travel time (and time poverty) and the promotion of choice-based physical activity.</p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11077730/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140892846","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}
Christina Müller, Lisa Paulsen, Jens Bucksch, Birgit Wallmann-Sperlich
{"title":"Built and natural environment correlates of physical activity of adults living in rural areas: a systematic review","authors":"Christina Müller, Lisa Paulsen, Jens Bucksch, Birgit Wallmann-Sperlich","doi":"10.1186/s12966-024-01598-3","DOIUrl":"https://doi.org/10.1186/s12966-024-01598-3","url":null,"abstract":"According to social-ecological models, the built and natural environment has the potential to facilitate or hinder physical activity (PA). While this potential is well researched in urban areas, a current systematic review of how the built and natural environment is related to PA in rural areas is lacking. We searched five databases and included studies for adults (18–65 years) living in rural areas. We included quantitative studies investigating the association between any self-reported or objectively measured characteristic of the built or natural environment and any type of self-reported or objectively measured PA, and qualitative studies that reported on features of the built or natural environment perceived as barriers to or facilitators of PA by the participants. Screening for eligibility and quality assessment (using the Standard Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields) were done in duplicate. We used a narrative approach to synthesize the results. Of 2432 non-duplicate records, 51 quantitative and 19 qualitative studies were included. Convincing positive relationships were found between the availability and accessibility of places for exercise and recreation and leisure-time PA as well as between the overall environment and leisure-time PA. Possible positive associations were found between the overall environment and total and transport-related PA, between greenness/natural environment and total PA, between cycling infrastructure and aesthetics and MVPA, and between pedestrian infrastructure and total walking. A possible negative relationship was found between safety and security and total walking. Qualitative studies complemented several environmental facilitators (facilities for exercise and recreation, sidewalks or streets with low traffic, attractive natural environment) and barriers (lack of facilities and destinations, lack of sidewalks, speeding traffic and high traffic volumes, lack of street lighting). Research investigating the relationship between the built and natural environment and PA behaviors of adults living in rural areas is still limited and there is a need for more high-quality and longitudinal studies. However, our most positive findings indicate that investing in places for exercise and recreation, a safe infrastructure for active transport, and nature-based activities are possible strategies that should be considered to address low levels of PA in rural adults. PROSPERO: CRD42021283508.","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140842380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marvin Y. Chong, Koen G. Frenken, Simone J. P. M. Eussen, Annemarie Koster, Gerda K. Pot, Stéphanie O. Breukink, Maryska Janssen-Heijnen, Eric T. P. Keulen, Wouter Bijnens, Laurien M. Buffart, Kenneth Meijer, Frank A. J. L. Scheer, Karen Steindorf, Judith de Vos-Geelen, Matty P. Weijenberg, Eline H. van Roekel, Martijn J. L. Bours
{"title":"Longitudinal associations of diurnal rest-activity rhythms with fatigue, insomnia, and health-related quality of life in survivors of colorectal cancer up to 5 years post-treatment","authors":"Marvin Y. Chong, Koen G. Frenken, Simone J. P. M. Eussen, Annemarie Koster, Gerda K. Pot, Stéphanie O. Breukink, Maryska Janssen-Heijnen, Eric T. P. Keulen, Wouter Bijnens, Laurien M. Buffart, Kenneth Meijer, Frank A. J. L. Scheer, Karen Steindorf, Judith de Vos-Geelen, Matty P. Weijenberg, Eline H. van Roekel, Martijn J. L. Bours","doi":"10.1186/s12966-024-01601-x","DOIUrl":"https://doi.org/10.1186/s12966-024-01601-x","url":null,"abstract":"There is a growing population of survivors of colorectal cancer (CRC). Fatigue and insomnia are common symptoms after CRC, negatively influencing health-related quality of life (HRQoL). Besides increasing physical activity and decreasing sedentary behavior, the timing and patterns of physical activity and rest over the 24-h day (i.e. diurnal rest-activity rhythms) could also play a role in alleviating these symptoms and improving HRQoL. We investigated longitudinal associations of the diurnal rest-activity rhythm (RAR) with fatigue, insomnia, and HRQoL in survivors of CRC. In a prospective cohort study among survivors of stage I-III CRC, 5 repeated measurements were performed from 6 weeks up to 5 years post-treatment. Parameters of RAR, including mesor, amplitude, acrophase, circadian quotient, dichotomy index, and 24-h autocorrelation coefficient, were assessed by a custom MATLAB program using data from tri-axial accelerometers worn on the upper thigh for 7 consecutive days. Fatigue, insomnia, and HRQoL were measured by validated questionnaires. Confounder-adjusted linear mixed models were applied to analyze longitudinal associations of RAR with fatigue, insomnia, and HRQoL from 6 weeks until 5 years post-treatment. Additionally, intra-individual and inter-individual associations over time were separated. Data were available from 289 survivors of CRC. All RAR parameters except for 24-h autocorrelation increased from 6 weeks to 6 months post-treatment, after which they remained relatively stable. A higher mesor, amplitude, circadian quotient, dichotomy index, and 24-h autocorrelation were statistically significantly associated with less fatigue and better HRQoL over time. A higher amplitude and circadian quotient were associated with lower insomnia. Most of these associations appeared driven by both within-person changes over time and between-person differences in RAR parameters. No significant associations were observed for acrophase. In the first five years after CRC treatment, adhering to a generally more active (mesor) and consistent (24-h autocorrelation) RAR, with a pronounced peak activity (amplitude) and a marked difference between daytime and nighttime activity (dichotomy index) was found to be associated with lower fatigue, lower insomnia, and a better HRQoL. Future intervention studies are needed to investigate if restoring RAR among survivors of CRC could help to alleviate symptoms of fatigue and insomnia while enhancing their HRQoL. EnCoRe study NL6904 ( https://www.onderzoekmetmensen.nl/ ).","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140839908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction: Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants","authors":"Yuanyuan Chen, Shing Chan, Derrick Bennett, Xiaofang Chen, Xianping Wu, Yalei Ke, Jun Lv, Dianjianyi Sun, Lang Pan, Pei Pei, Ling Yang, Yiping Chen, Junshi Chen, Zhengming Chen, Liming Li, Huaidong Du, Canqing Yu, Aiden Doherty","doi":"10.1186/s12966-024-01597-4","DOIUrl":"https://doi.org/10.1186/s12966-024-01597-4","url":null,"abstract":"<p><b>Correction</b><b>:</b> <b>Int J Behav Nutr Phys Act 20, 138 (2023)</b></p><p><b>https://doi.org/10.1186/s12966-023-01537-8</b></p><br/><p>In the Original Article [1], the values for the BMI groups \" < 18.5\" and \"18.5-23.9\" were mistakenly swapped. The correct values should be as follows:</p><figure><picture><img alt=\"figure a\" aria-describedby=\"Figa\" height=\"45\" loading=\"lazy\" src=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs12966-024-01597-4/MediaObjects/12966_2024_1597_Figa_HTML.png\" width=\"685\"/></picture></figure><p>Moreover, the 4th paragraph of the ‘Movement behaviours analysis’ section in ‘Results’ mentioned incorrect statement as follows: \"In addition, people with a lower BMI were on average more likely to have higher overall activity levels and were more frequently involved in physical activity (both MVPA and LIPA).\"</p><p>The correct sentence should have been: \"In addition, people with a normal BMI were on average more likely to have higher overall activity levels and were more frequently involved in physical activity (both MVPA and LIPA).\"</p><p>Lastly, in the Supplementary, the first sentence of the “Evaluation of the model” was “The refined model achieved a Cohen’s kappa score of 0.667 (0.605, 0.749) and an accuracy of 0.811 (0.787, 0.853) on the CAPTURE-24CN dataset”.</p><p>The correct statement should have been: \"The refined model achieved a Cohen’s kappa score of 0.674 (0.614, 0.743) and an accuracy of 0.814 (0.783, 0.851) on the CAPTURE-24CN dataset. \"</p><p>The original article has been updated.</p><ol data-track-component=\"outbound reference\"><li data-counter=\"1.\"><p>Chen Y, Chan S, Bennett D, et al. Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants. Int J Behav Nutr Phys Act. 2023;20:138. https://doi.org/10.1186/s12966-023-01537-8.</p><p>Article PubMed PubMed Central Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><h3>Authors and Affiliations</h3><ol><li><p>Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China</p><p>Yuanyuan Chen, Yalei Ke, Jun Lv, Dianjianyi Sun, Liming Li & Canqing Yu</p></li><li><p>Nufeld Department of Population Health, University of Oxford, Oxford, UK</p><p>Shing Chan, Derrick Bennett & Aiden Doherty</p></li><li><p>Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK</p><p>Shing Chan & Aiden Doherty</p></li><li><p>National Institute of Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK</p><p>Derrick Bennett</p></li><li><p>Department of Epidemiology and Statistics, Chengdu Medical College, Chengdu, Sichuan, China</p><p>Xiaofang Chen</p></li><li><p>Sichua","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140839728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephanie L. Duncombe, Alan R. Barker, Lisa Price, Jacqueline L. Walker, Jodie L. Koep, James Woodforde, Michalis Stylianou
{"title":"Was it a HIIT? A process evaluation of a school-based high-intensity interval training intervention","authors":"Stephanie L. Duncombe, Alan R. Barker, Lisa Price, Jacqueline L. Walker, Jodie L. Koep, James Woodforde, Michalis Stylianou","doi":"10.1186/s12966-024-01599-2","DOIUrl":"https://doi.org/10.1186/s12966-024-01599-2","url":null,"abstract":"Despite a growing body of research investigating high-intensity interval training (HIIT) in schools, there are limited process evaluations investigating their implementation. This is concerning because process evaluations are important for appropriately interpreting outcome findings and augmenting intervention design. This manuscript presents a process evaluation of Making a HIIT, a school-based HIIT intervention. The Making a HIIT intervention spanned 8 weeks and was completed at three schools in Greater Brisbane, Australia. Ten classes (intervention group) completed 10-min teacher-led HIIT workouts at the beginning of health and physical education (HPE) lessons, and five classes (control group) continued with regular HPE lessons. The mixed methods evaluation was guided by the Framework for Effective Implementation by Durlak and DuPre. Program reach: Ten schools were contacted to successfully recruit three schools, from which 79% of eligible students (n = 308, $$overline{{text{x}} }$$ age: 13.0 ± 0.6 years, 148 girls) provided consent. Dosage: The average number of HIIT workouts provided was 10 ± 3 and the average number attended by students was 6 ± 2. Fidelity: During HIIT workouts, the percentage of time students spent at ≥ 80% of maximum heart rate (HRmax) was 55% (interquartile range (IQR): 29%—76%). Monitoring of the control group: During lessons, the intervention and control groups spent 32% (IQR: 12%—54%) and 28% (IQR: 13%—46%) of their HPE lesson at ≥ 80% of HRmax, respectively. Responsiveness: On average, students rated their enjoyment of HIIT workouts as 3.3 ± 1.1 (neutral) on a 5-point scale. Quality: Teachers found the HIIT workouts simple to implement but provided insights into the time implications of integrating them into their lessons; elements that helped facilitate their implementation; and their use within the classroom. Differentiation: Making a HIIT involved students and teachers in the co-design of HIIT workouts. Adaption: Workouts were modified due to location and weather, the complexity of exercises, and time constraints. The comprehensive evaluation of Making a HIIT provides important insights into the implementation of school-based HIIT, including encouragings findings for student enjoyment and fidelity and recommendations for improving dosage that should be considered when developing future interventions. ACTRN, ACTRN12622000534785 , Registered 5 April 2022 – Retrospectively registered.","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140812406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rong W Zablocki, Sheri J. Hartman, Chongzhi Di, Jingjing Zou, Jordan A. Carlson, P. Hibbing, D. Rosenberg, Mikael Anne Greenwood-Hickman, Lindsay Dillon, Andrea Z LaCroix, Loki Natarajan
{"title":"Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors","authors":"Rong W Zablocki, Sheri J. Hartman, Chongzhi Di, Jingjing Zou, Jordan A. Carlson, P. Hibbing, D. Rosenberg, Mikael Anne Greenwood-Hickman, Lindsay Dillon, Andrea Z LaCroix, Loki Natarajan","doi":"10.1186/s12966-024-01585-8","DOIUrl":"https://doi.org/10.1186/s12966-024-01585-8","url":null,"abstract":"","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":null,"pages":null},"PeriodicalIF":8.7,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140652009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}