<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
更正：Int J Behav Nutr Phys Act 20, 138 (2023)https://doi.org/10.1186/s12966-023-01537-8In 原文[1]中，BMI 组的数值"< 18.5 "和 "18.5-23.9 "被错误地对调。正确的数值应为：此外，"结果 "中 "运动行为分析 "部分的第 4 段提到了以下错误的陈述："此外，体重指数（BMI）较低的人平均而言更有可能拥有较高的总体活动水平，并且更频繁地参与体育活动（包括 MVPA 和 LIPA）。"正确的句子应该是："此外，体重指数正常的人平均更有可能具有较高的总体活动水平，并且更经常参与体育活动（包括 MVPA 和 LIPA）。"最后，在 "补充 "中，"模型评估 "的第一句是："在 CAPTURE-24CN 数据集上，改进后的模型达到了 0.667（0.605，0.749）的 Cohen's kappa 分数和 0.811（0.787，0.853）的准确度："改进后的模型在 CAPTURE-24CN 数据集上的 Cohen's kappa 得分为 0.674（0.614，0.743），准确率为 0.814（0.783，0.851）。"Chen Y, Chan S, Bennett D, et al. 20,000 多名中国嘉道理生物库参与者的设备测量运动行为。Int J Behav Nutr Phys Act.2023;20:138. https://doi.org/10.1186/s12966-023-01537-8.文章PubMed PubMed Central Google Scholar 下载参考文献作者及工作单位北京大学医学部公共卫生学院流行病学与生物统计学系陈媛媛 柯亚磊 吕军 孙殿杰 李黎明 &；余灿清牛津大学人口健康系，牛津，UKShing Chan, Derrick Bennett & Aiden DohertyBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UKShing Chan &；Aiden Doherty英国牛津大学医院 NHS 基金会信托基金牛津生物医学研究中心国家健康研究所Derrick Bennett中国四川成都成都医学院流行病学与统计学系Xiaofang Chen中国四川成都四川省疾病预防控制中心Xianping Wu中国北京教育部重大疾病流行病学重点实验室（北京大学）Jun Lv &；北京大学公共卫生与疫情防控中心，北京，中国孙殿义、潘朗、裴培、李黎明英国牛津大学医学研究委员会人口健康研究组，牛津，英国杨玲、陈一平、杜怀东临床试验中心，北京，中国杜怀东英国牛津大学 Nufeld 人口健康系临床试验服务组及流行病学研究组（CTSU）杨玲、陈一平、陈正明 &；中国国家食品安全风险评估中心，北京、中国北京，国家食品安全风险评估中心陈君石作者Yuanyuan Chen查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者Shing Chan查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者Derrick Bennett查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者Xiaofang Chen查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者Xianping Wu查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者您也可以在PubMed Google Scholar中搜索该作者Yalei Ke查看作者发表作品您也可以在PubMed Google Scholar中搜索该作者Jun Lv查看作者发表作品您也可以在PubMed Google Scholar中搜索该作者Dianjianyi Sun查看作者发表作品您也可以在PubMed Google Scholar中搜索该作者Lang Pan查看作者发表作品您也可以在PubMed Google Scholar中搜索该作者Pei Pei查看作者发表作品您也可以在PubMed Google Scholar中搜索该作者您也可以在 PubMed Google Scholar中搜索该作者Ling Yang查看作者发表的论文您也可以在 PubMed Google Scholar中搜索该作者Yiping Chen查看作者发表的论文您也可以在 PubMed Google Scholar中搜索该作者Junshi Chen查看作者发表的论文您也可以在 PubMed Google Scholar中搜索该作者Zhengming Chen查看作者发表的论文您也可以在 PubMed Google Scholar中搜索该作者Liming Li查看作者发表的论文您也可以在 PubMed Google Scholar中搜索该作者Liming Li查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者杜怀东查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者余灿清查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者艾登-多尔蒂查看作者发表的论文您也可以在PubMed Google Scholar中搜索该作者通讯作者：中国嘉道理生物库协作组通讯作者：杜怀东或余灿清。开放存取 本文采用知识共享署名 4.0 版许可协议进行许可。 创作共用 "许可协议允许以任何媒介或格式使用、共享、改编、分发和复制文章，但必须注明原作者和出处，提供指向 "创作共用 "许可协议的链接，并说明是否进行了修改。本文中的图片或其他第三方材料均包含在文章的知识共享许可协议中，除非在材料的署名栏中另有说明。如果材料未包含在文章的知识共享许可协议中，且您打算使用的材料不符合法律规定或超出许可使用范围，则您需要直接从版权所有者处获得许可。如需查看该许可的副本，请访问 http://creativecommons.org/licenses/by/4.0/。除非在数据的信用行中另有说明，否则知识共享公共领域专用免责声明（http://creativecommons.org/publicdomain/zero/1.0/）适用于本文提供的数据。转载与许可引用本文Chen, Y., Chan, S., Bennett, D. et al. Correction：2万多名中国嘉道理生物库参与者的设备测量运动行为。Int J Behav Nutr Phys Act 21, 50 (2024). https://doi.org/10.1186/s12966-024-01597-4Download citationPublished: 01 May 2024DOI: https://doi.org/10.1186/s12966-02
{"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":"4 1","pages":""},"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}
Pub Date : 2024-04-29DOI: 10.1186/s12966-024-01599-2
Stephanie L. Duncombe, Alan R. Barker, Lisa Price, Jacqueline L. Walker, Jodie L. Koep, James Woodforde, Michalis Stylianou
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.
{"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":"2017 1","pages":""},"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}
Community-level group sports participation is a structural aspect of social capital that can potentially impact individual health in a contextual manner. This study aimed to investigate contextual relationship between the community-level prevalence of group sports participation and the risk of all-cause, cardiovascular disease (CVD), and cancer mortality in older adults. In this 7-year longitudinal cohort study, data from the Japan Gerontological Evaluation Study, a nationwide survey encompassing 43,088 functionally independent older adults residing in 311 communities, were used. Cause of death data were derived from the Japanese governmental agency, The Ministry of Health, Labour and Welfare, for secondary use. “Participation” was defined as engaging in group sports for one or more days per month. To analyze the data, a two-level survival analysis was employed, and hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. Among the participants, 5,711 (13.3%) deaths were identified, with 1,311 related to CVD and 2,349 to cancer. The average group sports participation rate was 28.3% (range, 10.0–52.7%). After adjusting for individual-level group sports participation and potential confounders, a higher community-level group sports participation rate was found to be significantly associated with a lower risk of both all-cause mortality (HR: 0.89, 95% CI: 0.83–0.95) and cancer mortality (HR: 0.89, 95% CI: 0.81–0.98) for every 10% point increase in the participation rate. For CVD mortality, the association became less significant in the model adjusted for all covariates (HR: 0.94, 95% CI: 0.82–1.09). Our findings support the existence of a preventive relationship between community-level group sports participation and the occurrence of all-cause and cancer mortality among older individuals. Promoting group sports within communities holds promise as an effective population-based strategy for extending life expectancy, regardless of individual participation in these groups.
{"title":"Community-level group sports participation and all-cause, cardiovascular disease, and cancer mortality: a 7-year longitudinal study","authors":"Taishi Tsuji, Eisaku Okada, Masashige Saito, Satoru Kanamori, Yasuhiro Miyaguni, Masamichi Hanazato, Katsunori Kondo, Toshiyuki Ojima","doi":"10.1186/s12966-024-01592-9","DOIUrl":"https://doi.org/10.1186/s12966-024-01592-9","url":null,"abstract":"Community-level group sports participation is a structural aspect of social capital that can potentially impact individual health in a contextual manner. This study aimed to investigate contextual relationship between the community-level prevalence of group sports participation and the risk of all-cause, cardiovascular disease (CVD), and cancer mortality in older adults. In this 7-year longitudinal cohort study, data from the Japan Gerontological Evaluation Study, a nationwide survey encompassing 43,088 functionally independent older adults residing in 311 communities, were used. Cause of death data were derived from the Japanese governmental agency, The Ministry of Health, Labour and Welfare, for secondary use. “Participation” was defined as engaging in group sports for one or more days per month. To analyze the data, a two-level survival analysis was employed, and hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. Among the participants, 5,711 (13.3%) deaths were identified, with 1,311 related to CVD and 2,349 to cancer. The average group sports participation rate was 28.3% (range, 10.0–52.7%). After adjusting for individual-level group sports participation and potential confounders, a higher community-level group sports participation rate was found to be significantly associated with a lower risk of both all-cause mortality (HR: 0.89, 95% CI: 0.83–0.95) and cancer mortality (HR: 0.89, 95% CI: 0.81–0.98) for every 10% point increase in the participation rate. For CVD mortality, the association became less significant in the model adjusted for all covariates (HR: 0.94, 95% CI: 0.82–1.09). Our findings support the existence of a preventive relationship between community-level group sports participation and the occurrence of all-cause and cancer mortality among older individuals. Promoting group sports within communities holds promise as an effective population-based strategy for extending life expectancy, regardless of individual participation in these groups.","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":"14 1","pages":""},"PeriodicalIF":8.7,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140802549","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}
Pub Date : 2024-04-24DOI: 10.1186/s12966-024-01593-8
Asma Kazemi, Sepideh Soltani, Dagfinn Aune, Elham Hosseini, Zeinab Mokhtari, Zahra Hassanzadeh, Ahmad Jayedi, Francisco Pitanga, Masoumeh Akhlaghi
Physical activity has benefits for the cardiovascular system, however, what levels and types of activity provide optimal cardiovascular health is unclear. We aimed to determine the level of physical activity that has the most benefits against cardiovascular diseases (CVD). PubMed, Scopus, and Web of Science were searched for prospective cohort studies on leisure-time (LTPA) or occupational physical activity (OPA) as the exposure and major types of CVD (total CVD, coronary heart disease [CHD], stroke, and atrial fibrillation [AF]) incidence as the outcome. Risk of bias of studies was evaluated using the ROBINS-I tool. Summary hazard ratios (HR) were calculated using random-effects pairwise model. A total of 103 studies were included in the analysis. The highest versus the lowest LTPA was associated with a lower risk of overall CVD (HR = 0.81; 95% CI: 0.77–0.86), CHD (HR = 0.83; 0.79–0.88), and stroke (HR = 0.83; 0.79–0.88), but not AF (HR = 0.98; 0.92–1.05). Linear dose-response analyses showed a 10%, 12%, 9%, and 8% risk reduction in CVD, CHD, stroke, and AF incidence, respectively, for every 20 MET-hours/week increase in LTPA. In nonlinear dose-response analyses, there were inverse associations up to 20 MET-hours/week with 19% and 20% reduction in CVD and CHD risk, and up to 25 MET-hours/week with 22% reduction in stroke, with no further risk reduction at higher LTPA levels. For AF, there was a U-shaped nonlinear association with the maximum 8% risk reduction at 10 MET-hours/week of LTPA. Higher levels of OPA were not associated with risk of CVD, CHD, stroke, or AF. Overall, results showed an inverse dose-response relationship between LTPA and risk of CVD, CHD, stroke, and AF. Running was the most beneficial LTPA but the risk was similar among various LTPA intensities. OPA showed no benefits in total or any type of CVD.
{"title":"Leisure-time and occupational physical activity and risk of cardiovascular disease incidence: a systematic-review and dose-response meta-analysis of prospective cohort studies","authors":"Asma Kazemi, Sepideh Soltani, Dagfinn Aune, Elham Hosseini, Zeinab Mokhtari, Zahra Hassanzadeh, Ahmad Jayedi, Francisco Pitanga, Masoumeh Akhlaghi","doi":"10.1186/s12966-024-01593-8","DOIUrl":"https://doi.org/10.1186/s12966-024-01593-8","url":null,"abstract":"Physical activity has benefits for the cardiovascular system, however, what levels and types of activity provide optimal cardiovascular health is unclear. We aimed to determine the level of physical activity that has the most benefits against cardiovascular diseases (CVD). PubMed, Scopus, and Web of Science were searched for prospective cohort studies on leisure-time (LTPA) or occupational physical activity (OPA) as the exposure and major types of CVD (total CVD, coronary heart disease [CHD], stroke, and atrial fibrillation [AF]) incidence as the outcome. Risk of bias of studies was evaluated using the ROBINS-I tool. Summary hazard ratios (HR) were calculated using random-effects pairwise model. A total of 103 studies were included in the analysis. The highest versus the lowest LTPA was associated with a lower risk of overall CVD (HR = 0.81; 95% CI: 0.77–0.86), CHD (HR = 0.83; 0.79–0.88), and stroke (HR = 0.83; 0.79–0.88), but not AF (HR = 0.98; 0.92–1.05). Linear dose-response analyses showed a 10%, 12%, 9%, and 8% risk reduction in CVD, CHD, stroke, and AF incidence, respectively, for every 20 MET-hours/week increase in LTPA. In nonlinear dose-response analyses, there were inverse associations up to 20 MET-hours/week with 19% and 20% reduction in CVD and CHD risk, and up to 25 MET-hours/week with 22% reduction in stroke, with no further risk reduction at higher LTPA levels. For AF, there was a U-shaped nonlinear association with the maximum 8% risk reduction at 10 MET-hours/week of LTPA. Higher levels of OPA were not associated with risk of CVD, CHD, stroke, or AF. Overall, results showed an inverse dose-response relationship between LTPA and risk of CVD, CHD, stroke, and AF. Running was the most beneficial LTPA but the risk was similar among various LTPA intensities. OPA showed no benefits in total or any type of CVD.","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":"194 1","pages":""},"PeriodicalIF":8.7,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140802612","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}
Pub Date : 2024-04-23DOI: 10.1186/s12966-024-01596-5
Stewart G. Trost, Caroline O. Terranova, Denise S.K. Brookes, Li Kheng Chai, Rebecca A. Byrne
The development of validated “fit-for-purpose” rapid assessment tools to measure 24-hour movement behaviours in children aged 0–5 years is a research priority. This study evaluated the test-retest reliability and concurrent validity of the open-ended and closed-ended versions of the Movement Behaviour Questionnaire for baby (MBQ-B) and child (MBQ-C). 300 parent-child dyads completed the 10-day study protocol (MBQ-B: N = 85; MBQ-C: N = 215). To assess validity, children wore an accelerometer on the non-dominant wrist (ActiGraph GT3X+) for 7 days and parents completed 2 × 24-hour time use diaries (TUDs) recording screen time and sleep on two separate days. For babies (i.e., not yet walking), parents completed 2 × 24-hour TUDs recording tummy time, active play, restrained time, screen time, and sleep on days 2 and 5 of the 7-day monitoring period. To assess test-retest reliability, parents were randomised to complete either the open- or closed-ended versions of the MBQ on day 7 and on day 10. Test-retest intraclass correlation coefficients (ICC’s) were calculated using generalized linear mixed models and validity was assessed via Spearman correlations. Test-retest reliability for the MBQ-B was good to excellent with ICC’s ranging from 0.80 to 0.94 and 0.71–0.93 for the open- and closed-ended versions, respectively. For both versions, significant positive correlations were observed between 24-hour diary and MBQ-B reported tummy time, active play, restrained time, screen time, and sleep (rho = 0.39–0.87). Test-retest reliability for the MBQ-C was moderate to excellent with ICC’s ranging from 0.68 to 0.98 and 0.44–0.97 for the open- and closed-ended versions, respectively. For both the open- and closed-ended versions, significant positive correlations were observed between 24-hour diary and MBQ-C reported screen time and sleep (rho = 0.44–0.86); and between MBQ-C reported and device-measured time in total activity and energetic play (rho = 0.27–0.42). The MBQ-B and MBQ-C are valid and reliable rapid assessment tools for assessing 24-hour movement behaviours in infants, toddlers, and pre-schoolers. Both the open- and closed-ended versions of the MBQ are suitable for research conducted for policy and practice purposes, including the evaluation of scaled-up early obesity prevention programs.
{"title":"Reliability and validity of rapid assessment tools for measuring 24-hour movement behaviours in children aged 0–5 years: the Movement Behaviour Questionnaire Baby (MBQ-B) and child (MBQ-C)","authors":"Stewart G. Trost, Caroline O. Terranova, Denise S.K. Brookes, Li Kheng Chai, Rebecca A. Byrne","doi":"10.1186/s12966-024-01596-5","DOIUrl":"https://doi.org/10.1186/s12966-024-01596-5","url":null,"abstract":"The development of validated “fit-for-purpose” rapid assessment tools to measure 24-hour movement behaviours in children aged 0–5 years is a research priority. This study evaluated the test-retest reliability and concurrent validity of the open-ended and closed-ended versions of the Movement Behaviour Questionnaire for baby (MBQ-B) and child (MBQ-C). 300 parent-child dyads completed the 10-day study protocol (MBQ-B: N = 85; MBQ-C: N = 215). To assess validity, children wore an accelerometer on the non-dominant wrist (ActiGraph GT3X+) for 7 days and parents completed 2 × 24-hour time use diaries (TUDs) recording screen time and sleep on two separate days. For babies (i.e., not yet walking), parents completed 2 × 24-hour TUDs recording tummy time, active play, restrained time, screen time, and sleep on days 2 and 5 of the 7-day monitoring period. To assess test-retest reliability, parents were randomised to complete either the open- or closed-ended versions of the MBQ on day 7 and on day 10. Test-retest intraclass correlation coefficients (ICC’s) were calculated using generalized linear mixed models and validity was assessed via Spearman correlations. Test-retest reliability for the MBQ-B was good to excellent with ICC’s ranging from 0.80 to 0.94 and 0.71–0.93 for the open- and closed-ended versions, respectively. For both versions, significant positive correlations were observed between 24-hour diary and MBQ-B reported tummy time, active play, restrained time, screen time, and sleep (rho = 0.39–0.87). Test-retest reliability for the MBQ-C was moderate to excellent with ICC’s ranging from 0.68 to 0.98 and 0.44–0.97 for the open- and closed-ended versions, respectively. For both the open- and closed-ended versions, significant positive correlations were observed between 24-hour diary and MBQ-C reported screen time and sleep (rho = 0.44–0.86); and between MBQ-C reported and device-measured time in total activity and energetic play (rho = 0.27–0.42). The MBQ-B and MBQ-C are valid and reliable rapid assessment tools for assessing 24-hour movement behaviours in infants, toddlers, and pre-schoolers. Both the open- and closed-ended versions of the MBQ are suitable for research conducted for policy and practice purposes, including the evaluation of scaled-up early obesity prevention programs.","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":"86 1","pages":""},"PeriodicalIF":8.7,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140802251","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}
Healthy lifestyle behaviors (LBs) have been widely recommended for the prevention and management of cardiovascular disease (CVD). Despite a large number of studies exploring the association between combined LBs and CVD, a notable gap exists in integration of relevant literatures. We conducted a systematic review and meta-analysis of prospective cohort studies to analyze the correlation between combined LBs and the occurrence of CVD, as well as to estimate the risk of various health complications in individuals already diagnosed with CVD. Articles published up to February 10, 2023 were sourced through PubMed, EMBASE and Web of Science. Eligible prospective cohort studies that reported the relations of combined LBs with pre-determined outcomes were included. Summary relative risks (RRs) and 95% confidence intervals (CIs) were estimated using either a fixed or random-effects model. Subgroup analysis, meta-regression, publication bias, and sensitivity analysis were as well performed. In the general population, individuals with the healthiest combination of LBs exhibited a significant risk reduction of 58% for CVD and 55% for CVD mortality. For individuals diagnosed with CVD, adherence to the healthiest combination of LBs corresponded to a significant risk reduction of 62% for CVD recurrence and 67% for all-cause mortality, when compared to those with the least-healthy combination of LBs. In the analysis of dose-response relationship, for each increment of 1 healthy LB, there was a corresponding decrease in risk of 17% for CVD and 19% for CVD mortality within the general population. Similarly, among individuals diagnosed with CVD, each additional healthy LB was associated with a risk reduction of 27% for CVD recurrence and 27% for all-cause mortality. Adopting healthy LBs is associated with substantial risk reduction in CVD, CVD mortality, and adverse outcomes among individuals diagnosed with CVD. Rather than focusing solely on individual healthy LB, it is advisable to advocate for the adoption of multiple LBs for the prevention and management of CVD. PROSPERO: CRD42023431731. The meta-analysis examined the quantitative correlation between lifestyle behaviors (LBs) and the incidence of cardiovascular disease (CVD) and CVD mortality in the general population, as well as adverse outcomes in CVD patients. The results suggest that healthy LBs are associated with substantial risk reduction in these 3 outcomes. Multiple LBs, instead of tackling one certain LB, should be recommended for the prevention and management of CVD.
{"title":"Lifestyle behaviors and risk of cardiovascular disease and prognosis among individuals with cardiovascular disease: a systematic review and meta-analysis of 71 prospective cohort studies","authors":"Jian Wu, Yifei Feng, Yuanyuan Zhao, Zhiping Guo, Rongmei Liu, Xin Zeng, Fan Yang, Bei Liu, Jianqing Gu, Clifford Silver Tarimo, Weihao Shao, Xinghong Guo, Quanman Li, Lipei Zhao, Mingze Ma, Zhanlei Shen, Qiuping Zhao, Yudong Miao","doi":"10.1186/s12966-024-01586-7","DOIUrl":"https://doi.org/10.1186/s12966-024-01586-7","url":null,"abstract":"Healthy lifestyle behaviors (LBs) have been widely recommended for the prevention and management of cardiovascular disease (CVD). Despite a large number of studies exploring the association between combined LBs and CVD, a notable gap exists in integration of relevant literatures. We conducted a systematic review and meta-analysis of prospective cohort studies to analyze the correlation between combined LBs and the occurrence of CVD, as well as to estimate the risk of various health complications in individuals already diagnosed with CVD. Articles published up to February 10, 2023 were sourced through PubMed, EMBASE and Web of Science. Eligible prospective cohort studies that reported the relations of combined LBs with pre-determined outcomes were included. Summary relative risks (RRs) and 95% confidence intervals (CIs) were estimated using either a fixed or random-effects model. Subgroup analysis, meta-regression, publication bias, and sensitivity analysis were as well performed. In the general population, individuals with the healthiest combination of LBs exhibited a significant risk reduction of 58% for CVD and 55% for CVD mortality. For individuals diagnosed with CVD, adherence to the healthiest combination of LBs corresponded to a significant risk reduction of 62% for CVD recurrence and 67% for all-cause mortality, when compared to those with the least-healthy combination of LBs. In the analysis of dose-response relationship, for each increment of 1 healthy LB, there was a corresponding decrease in risk of 17% for CVD and 19% for CVD mortality within the general population. Similarly, among individuals diagnosed with CVD, each additional healthy LB was associated with a risk reduction of 27% for CVD recurrence and 27% for all-cause mortality. Adopting healthy LBs is associated with substantial risk reduction in CVD, CVD mortality, and adverse outcomes among individuals diagnosed with CVD. Rather than focusing solely on individual healthy LB, it is advisable to advocate for the adoption of multiple LBs for the prevention and management of CVD. PROSPERO: CRD42023431731. The meta-analysis examined the quantitative correlation between lifestyle behaviors (LBs) and the incidence of cardiovascular disease (CVD) and CVD mortality in the general population, as well as adverse outcomes in CVD patients. The results suggest that healthy LBs are associated with substantial risk reduction in these 3 outcomes. Multiple LBs, instead of tackling one certain LB, should be recommended for the prevention and management of CVD.","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":"39 1","pages":""},"PeriodicalIF":8.7,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140635484","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}
Pub Date : 2024-04-19DOI: 10.1186/s12966-024-01595-6
Iris Parés-Salomón, Anna M. Señé-Mir, Fernando Martín-Bozas, Bette Loef, Alan Coffey, Kieran P. Dowd, Guillem Jabardo-Camprubí, Karin I. Proper, Anna Puig-Ribera, Judit Bort-Roig
Digital interventions are potential tools for reducing and limiting occupational sedentary behaviour (SB) in sedentary desk-based jobs. Given the harmful effects of sitting too much and sitting for too long while working, the aim of this systematic review and meta-analysis was to examine the effectiveness of workplace interventions, that incorporated digital elements, to reduce the time spent in SB in office workers. Randomised control trials that evaluated the implementation of workplace interventions that incorporated digital elements for breaking and limiting SB among desk-based jobs were identified by literature searches in six electronic databases (PubMed, Web of Science, Scopus, CINAHL, PsycINFO and PEDro) published up to 2023. Studies were included if total and/or occupational SB were assessed. Only studies that reported pre- and postintervention mean differences and standard deviations or standard errors for both intervention arms were used for the meta-analysis. The meta-analysis was conducted using Review Manager 5 (RevMan 5; Cochrane Collaboration, Oxford, UK). Risk of bias was assessed using the Standard Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields QUALSYST tool. Nineteen studies were included in the systematic review. The most employed digital elements were information delivery and mediated organisational support and social influences. Multicomponent, information, and counselling interventions measuring total and/or occupational/nonoccupational SB time by self-report or via device-based measures were reported. Multicomponent interventions were the most represented. Eleven studies were included in the meta-analysis, which presented a reduction of 29.9 (95% CI: -45.2, -14.5) min/8 h workday in SB (overall effect: Z = 3.81). Multicomponent interventions, using a wide range of digital features, have demonstrated effectiveness in reducing time spent in SB at the workplace among desk-based employees. However, due to hybrid work (i.e., work in the office and home) being a customary mode of work for many employees, it is important for future studies to assess the feasibility and effectiveness of these interventions in the evolving work landscape. The review protocol was registered in the Prospero database (CRD42022377366).
{"title":"Effectiveness of workplace interventions with digital elements to reduce sedentary behaviours in office employees: a systematic review and meta-analysis","authors":"Iris Parés-Salomón, Anna M. Señé-Mir, Fernando Martín-Bozas, Bette Loef, Alan Coffey, Kieran P. Dowd, Guillem Jabardo-Camprubí, Karin I. Proper, Anna Puig-Ribera, Judit Bort-Roig","doi":"10.1186/s12966-024-01595-6","DOIUrl":"https://doi.org/10.1186/s12966-024-01595-6","url":null,"abstract":"Digital interventions are potential tools for reducing and limiting occupational sedentary behaviour (SB) in sedentary desk-based jobs. Given the harmful effects of sitting too much and sitting for too long while working, the aim of this systematic review and meta-analysis was to examine the effectiveness of workplace interventions, that incorporated digital elements, to reduce the time spent in SB in office workers. Randomised control trials that evaluated the implementation of workplace interventions that incorporated digital elements for breaking and limiting SB among desk-based jobs were identified by literature searches in six electronic databases (PubMed, Web of Science, Scopus, CINAHL, PsycINFO and PEDro) published up to 2023. Studies were included if total and/or occupational SB were assessed. Only studies that reported pre- and postintervention mean differences and standard deviations or standard errors for both intervention arms were used for the meta-analysis. The meta-analysis was conducted using Review Manager 5 (RevMan 5; Cochrane Collaboration, Oxford, UK). Risk of bias was assessed using the Standard Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields QUALSYST tool. Nineteen studies were included in the systematic review. The most employed digital elements were information delivery and mediated organisational support and social influences. Multicomponent, information, and counselling interventions measuring total and/or occupational/nonoccupational SB time by self-report or via device-based measures were reported. Multicomponent interventions were the most represented. Eleven studies were included in the meta-analysis, which presented a reduction of 29.9 (95% CI: -45.2, -14.5) min/8 h workday in SB (overall effect: Z = 3.81). Multicomponent interventions, using a wide range of digital features, have demonstrated effectiveness in reducing time spent in SB at the workplace among desk-based employees. However, due to hybrid work (i.e., work in the office and home) being a customary mode of work for many employees, it is important for future studies to assess the feasibility and effectiveness of these interventions in the evolving work landscape. The review protocol was registered in the Prospero database (CRD42022377366).","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":"102 1","pages":""},"PeriodicalIF":8.7,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140629492","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}
Pub Date : 2024-04-16DOI: 10.1186/s12966-024-01590-x
K. A. Meredith-Jones, J. J. Haszard, A. Graham-DeMello, A. Campbell, T. Stewart, B. C. Galland, A. Cox, G. Kennedy, S. Duncan, R. W. Taylor
Actigraphy is often used to measure sleep in pediatric populations, despite little confirmatory evidence of the accuracy of existing sleep/wake algorithms. The aim of this study was to determine the performance of 11 sleep algorithms in relation to overnight polysomnography in children and adolescents. One hundred thirty-seven participants aged 8–16 years wore two Actigraph wGT3X-BT (wrist, waist) and three Axivity AX3 (wrist, back, thigh) accelerometers over 24-h. Gold standard measures of sleep were obtained using polysomnography (PSG; Embletta MPRPG, ST + Proxy and TX Proxy) in the home environment, overnight. Epoch by epoch comparisons of the Sadeh (two algorithms), Cole-Kripke (three algorithms), Tudor-Locke (four algorithms), Count-Scaled (CS), and HDCZA algorithms were undertaken. Mean differences from PSG values were calculated for various sleep outcomes. Overall, sensitivities were high (mean ± SD: 91.8%, ± 5.6%) and specificities moderate (63.8% ± 13.8%), with the HDCZA algorithm performing the best overall in terms of specificity (87.5% ± 1.3%) and accuracy (86.4% ± 0.9%). Sleep outcome measures were more accurately measured by devices worn at the wrist than the hip, thigh or lower back, with the exception of sleep efficiency where the reverse was true. The CS algorithm provided consistently accurate measures of sleep onset: the mean (95%CI) difference at the wrist with Axivity was 2 min (-6; -14,) and the offset was 10 min (5, -19). Several algorithms provided accurate measures of sleep quantity at the wrist, showing differences with PSG of just 1–18 min a night for sleep period time and 5–22 min for total sleep time. Accuracy was generally higher for sleep efficiency than for frequency of night wakings or wake after sleep onset. The CS algorithm was more accurate at assessing sleep period time, with narrower 95% limits of agreement compared to the HDCZA (CS:-165 to 172 min; HDCZA: -212 to 250 min). Although the performance of existing count-based sleep algorithms varies markedly, wrist-worn devices provide more accurate measures of most sleep measures compared to other sites. Overall, the HDZCA algorithm showed the greatest accuracy, although the most appropriate algorithm depends on the sleep measure of focus.
{"title":"Validation of actigraphy sleep metrics in children aged 8 to 16 years: considerations for device type, placement and algorithms","authors":"K. A. Meredith-Jones, J. J. Haszard, A. Graham-DeMello, A. Campbell, T. Stewart, B. C. Galland, A. Cox, G. Kennedy, S. Duncan, R. W. Taylor","doi":"10.1186/s12966-024-01590-x","DOIUrl":"https://doi.org/10.1186/s12966-024-01590-x","url":null,"abstract":"Actigraphy is often used to measure sleep in pediatric populations, despite little confirmatory evidence of the accuracy of existing sleep/wake algorithms. The aim of this study was to determine the performance of 11 sleep algorithms in relation to overnight polysomnography in children and adolescents. One hundred thirty-seven participants aged 8–16 years wore two Actigraph wGT3X-BT (wrist, waist) and three Axivity AX3 (wrist, back, thigh) accelerometers over 24-h. Gold standard measures of sleep were obtained using polysomnography (PSG; Embletta MPRPG, ST + Proxy and TX Proxy) in the home environment, overnight. Epoch by epoch comparisons of the Sadeh (two algorithms), Cole-Kripke (three algorithms), Tudor-Locke (four algorithms), Count-Scaled (CS), and HDCZA algorithms were undertaken. Mean differences from PSG values were calculated for various sleep outcomes. Overall, sensitivities were high (mean ± SD: 91.8%, ± 5.6%) and specificities moderate (63.8% ± 13.8%), with the HDCZA algorithm performing the best overall in terms of specificity (87.5% ± 1.3%) and accuracy (86.4% ± 0.9%). Sleep outcome measures were more accurately measured by devices worn at the wrist than the hip, thigh or lower back, with the exception of sleep efficiency where the reverse was true. The CS algorithm provided consistently accurate measures of sleep onset: the mean (95%CI) difference at the wrist with Axivity was 2 min (-6; -14,) and the offset was 10 min (5, -19). Several algorithms provided accurate measures of sleep quantity at the wrist, showing differences with PSG of just 1–18 min a night for sleep period time and 5–22 min for total sleep time. Accuracy was generally higher for sleep efficiency than for frequency of night wakings or wake after sleep onset. The CS algorithm was more accurate at assessing sleep period time, with narrower 95% limits of agreement compared to the HDCZA (CS:-165 to 172 min; HDCZA: -212 to 250 min). Although the performance of existing count-based sleep algorithms varies markedly, wrist-worn devices provide more accurate measures of most sleep measures compared to other sites. Overall, the HDZCA algorithm showed the greatest accuracy, although the most appropriate algorithm depends on the sleep measure of focus.","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":"259 1","pages":""},"PeriodicalIF":8.7,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140577481","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}
Pub Date : 2024-04-15DOI: 10.1186/s12966-024-01584-9
Amelia Willits-Smith, Lindsey Smith Taillie, Lindsay M. Jaacks, Sarah M. Frank, Anna H. Grummon
High consumption of red and processed meat contributes to both health and environmental harms. Warning labels and taxes for red meat reduce selection of red meat overall, but little is known about how these potential policies affect purchases of subcategories of red meat (e.g., processed versus unprocessed) or of non-red-meat foods (e.g., cheese, pulses) relevant to health and environmental outcomes. This study examined consumer responses to warning labels and taxes for red meat in a randomized controlled trial. In October 2021, we recruited 3,518 US adults to complete a shopping task in a naturalistic online grocery store. Participants were randomly assigned to one of four arms: control (no warning labels or tax), warning labels only (health and environmental warning labels appeared next to products containing red meat), tax only (prices of products containing red meat were increased 30%) or combined warning labels + tax. Participants selected items to hypothetically purchase, which we categorized into food groups based on the presence of animal- and plant-source ingredients (e.g., beef, eggs, pulses), meat processing level (e.g., processed pork versus unprocessed pork), and meat species (e.g., beef versus pork). We assessed the effects of the warning labels and tax on selections from each food group. Compared to control, all three interventions led participants to select fewer items with processed meat (driven by reductions in processed pork) and (for the tax and warning labels + tax interventions only) fewer items with unprocessed meat (driven by reductions in unprocessed beef). All three interventions also led participants to select more items containing cheese, while only the combined warning labels + tax intervention led participants to select more items containing processed poultry. Except for an increase in selection of pulses in the tax arm, the interventions did not affect selections of fish or seafood (processed or unprocessed), eggs, or plant-based items (pulses, nuts & seeds, tofu, meat mimics, grains & potatoes, vegetables). Policies to reduce red meat consumption are also likely to affect consumption of other types of foods that are relevant to both health and environmental outcomes. NCT04716010 on www.clinicaltrials.gov .
{"title":"Effects of red meat taxes and warning labels on food groups selected in a randomized controlled trial","authors":"Amelia Willits-Smith, Lindsey Smith Taillie, Lindsay M. Jaacks, Sarah M. Frank, Anna H. Grummon","doi":"10.1186/s12966-024-01584-9","DOIUrl":"https://doi.org/10.1186/s12966-024-01584-9","url":null,"abstract":"High consumption of red and processed meat contributes to both health and environmental harms. Warning labels and taxes for red meat reduce selection of red meat overall, but little is known about how these potential policies affect purchases of subcategories of red meat (e.g., processed versus unprocessed) or of non-red-meat foods (e.g., cheese, pulses) relevant to health and environmental outcomes. This study examined consumer responses to warning labels and taxes for red meat in a randomized controlled trial. In October 2021, we recruited 3,518 US adults to complete a shopping task in a naturalistic online grocery store. Participants were randomly assigned to one of four arms: control (no warning labels or tax), warning labels only (health and environmental warning labels appeared next to products containing red meat), tax only (prices of products containing red meat were increased 30%) or combined warning labels + tax. Participants selected items to hypothetically purchase, which we categorized into food groups based on the presence of animal- and plant-source ingredients (e.g., beef, eggs, pulses), meat processing level (e.g., processed pork versus unprocessed pork), and meat species (e.g., beef versus pork). We assessed the effects of the warning labels and tax on selections from each food group. Compared to control, all three interventions led participants to select fewer items with processed meat (driven by reductions in processed pork) and (for the tax and warning labels + tax interventions only) fewer items with unprocessed meat (driven by reductions in unprocessed beef). All three interventions also led participants to select more items containing cheese, while only the combined warning labels + tax intervention led participants to select more items containing processed poultry. Except for an increase in selection of pulses in the tax arm, the interventions did not affect selections of fish or seafood (processed or unprocessed), eggs, or plant-based items (pulses, nuts & seeds, tofu, meat mimics, grains & potatoes, vegetables). Policies to reduce red meat consumption are also likely to affect consumption of other types of foods that are relevant to both health and environmental outcomes. NCT04716010 on www.clinicaltrials.gov .","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":"1 1","pages":""},"PeriodicalIF":8.7,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140577856","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}
Pub Date : 2024-04-15DOI: 10.1186/s12966-024-01588-5
Didier Courbet, Laure Jacquemier, Serge Hercberg, Mathilde Touvier, Barthélémy Sarda, Emmanuelle Kesse-Guyot, Pilar Galan, Nicolas Buttafoghi, Chantal Julia
Some research shows that advertising for high-fat, sugar, or salt (HFSS) products is contributing to a shift in consumer preferences toward products of poor nutritional quality, leading to unhealthy nutritional intakes that increase the risk of obesity and chronic diseases. A strategy of displaying simple and understandable nutritional information (like the front-of-pack nutrition label Nutri-Score) in food messages could be an aid to help guide consumers’ choice towards healthier products. A randomized controlled experiment was conducted on 27,085 participants randomly assigned to two experimental conditions or a control condition. In both experimental conditions (independent variable: advertising messages with vs. without the Nutri-Score), participants were exposed to advertisements for diversified food products with contrasting nutritional quality and belonging to nine different food categories. Participants were then asked questions about their perception, affective evaluation, and intentions to purchase and consume the products. In the control condition, they were not exposed to the advertisements. Overall, interaction effects between the two variables (1) the messages with vs. without the Nutri-Score and (2) the nutritional quality of products, were significant for all dependent variables, with effect sizes between large and medium. Overall, the better the products’ nutritional quality, the more positive their perceptions, affective evaluations, and intentions to buy and consume them. When the Nutri-score was displayed in advertising messages (vs. when it was not), perceptions, affective evaluation, and behavioral intentions: (1) became more positive for products of good nutritional quality (Nutri-score A and B), (2) became more negative for products of poor nutritional quality (Nutri-score D and E), (3) changed little or not at all for products of intermediate nutritional quality (Nutri-Score C). This research is the first in the literature to demonstrate that displaying the Nutri-Score in advertising messages assists consumers in directing their choices towards healthier foods. Regulations mandating the display of the Nutri-Score in food advertising could be an effective public health measure.
一些研究表明，高脂、高糖或高盐（HFSS）产品广告正在促使消费者偏好转向营养质量差的产品，从而导致不健康的营养摄入，增加肥胖和慢性疾病的风险。在食品信息中显示简单易懂的营养信息（如包装正面的营养标签 Nutri-Score），可以帮助引导消费者选择更健康的产品。我们对 27 085 名参与者进行了随机对照实验，他们被随机分配到两个实验条件或一个对照条件中。在这两种实验条件下（自变量：含有与不含营养成分的广告信息），参与者都会接触到九种不同类别食品的广告，这些食品的营养质量各不相同。然后，向参与者提出有关他们对这些产品的感知、情感评价以及购买和消费意向的问题。在对照组条件下，他们不接触广告。总体而言，在所有因变量中，(1) 含有与不含 Nutri-Score 的信息和 (2) 产品营养质量这两个变量之间的交互效应都很显著，效应大小介于大和中等之间。总体而言，产品营养质量越好，受访者对产品的认知、情感评价以及购买和消费意向就越积极。当广告信息中显示营养成分时（与不显示营养成分时相比），认知、情感评价和行为意向：(1) 营养质量好的产品（营养成分 A 和 B）更积极，(2) 营养质量差的产品（营养成分 D 和 E）更消极，(3) 营养质量中等的产品（营养成分 C）变化很小或根本没有变化。这项研究首次在文献中证明，在广告信息中显示营养成分有助于引导消费者选择更健康的食品。规定在食品广告中显示营养成分的法规可能是一项有效的公共卫生措施。
{"title":"A randomized controlled trial to test the effects of displaying the Nutri-Score in food advertising on consumer perceptions and intentions to purchase and consume","authors":"Didier Courbet, Laure Jacquemier, Serge Hercberg, Mathilde Touvier, Barthélémy Sarda, Emmanuelle Kesse-Guyot, Pilar Galan, Nicolas Buttafoghi, Chantal Julia","doi":"10.1186/s12966-024-01588-5","DOIUrl":"https://doi.org/10.1186/s12966-024-01588-5","url":null,"abstract":"Some research shows that advertising for high-fat, sugar, or salt (HFSS) products is contributing to a shift in consumer preferences toward products of poor nutritional quality, leading to unhealthy nutritional intakes that increase the risk of obesity and chronic diseases. A strategy of displaying simple and understandable nutritional information (like the front-of-pack nutrition label Nutri-Score) in food messages could be an aid to help guide consumers’ choice towards healthier products. A randomized controlled experiment was conducted on 27,085 participants randomly assigned to two experimental conditions or a control condition. In both experimental conditions (independent variable: advertising messages with vs. without the Nutri-Score), participants were exposed to advertisements for diversified food products with contrasting nutritional quality and belonging to nine different food categories. Participants were then asked questions about their perception, affective evaluation, and intentions to purchase and consume the products. In the control condition, they were not exposed to the advertisements. Overall, interaction effects between the two variables (1) the messages with vs. without the Nutri-Score and (2) the nutritional quality of products, were significant for all dependent variables, with effect sizes between large and medium. Overall, the better the products’ nutritional quality, the more positive their perceptions, affective evaluations, and intentions to buy and consume them. When the Nutri-score was displayed in advertising messages (vs. when it was not), perceptions, affective evaluation, and behavioral intentions: (1) became more positive for products of good nutritional quality (Nutri-score A and B), (2) became more negative for products of poor nutritional quality (Nutri-score D and E), (3) changed little or not at all for products of intermediate nutritional quality (Nutri-Score C). This research is the first in the literature to demonstrate that displaying the Nutri-Score in advertising messages assists consumers in directing their choices towards healthier foods. Regulations mandating the display of the Nutri-Score in food advertising could be an effective public health measure.","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":"47 12 1","pages":""},"PeriodicalIF":8.7,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140577346","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}
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