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Effects and moderators of a 16-week intervention on contextual physical activity in adults with moderate to severe depressive symptoms: short and long-term results of a randomized clinical trial. 16周干预对中度至重度抑郁症状成人情境性体育活动的影响和调节因素:一项随机临床试验的短期和长期结果
IF 7.1 1区 医学 Q1 NUTRITION & DIETETICS Pub Date : 2026-07-21 DOI: 10.1186/s12966-026-01950-9
Cecília Bertuol, Kelly Samara Silva, Marcus Vinicius Veber Lopes, Deborah Kazimoto Alves, Caroline Soares da Silva, Marcelo Baggio do Amaral, Anne Ribeiro Streb, Giovani Firpo Del Duca

Background: Depression is associated with reduced physical activity (PA), and evidence on the long-term effects of interventions and their potential moderators remains limited. Thus, this study aimed to evaluate the short- (post-intervention) and long-term (six-month follow-up) effects of a PA-promoting intervention on contextual PA and to explore potential moderators in adults with depressive symptoms.

Methods: A randomized, controlled, and assessor-blinded clinical trial was conducted with adults presenting depressive symptoms. The intervention lasted 16 weeks, with two sessions per week. Strategies were grounded in Self-Determination Theory and aimed to increase participants' awareness of their lifestyle, primarily focusing on PA and its relationship with depression. Activities included lectures, group discussions, interactive activities with family and friends, and PA practices in different contexts. Intensity-specific PA was assessed using wrist-worn accelerometers, and contextual PA (by type and domain) was self-reported. Generalized estimating equations were used to assess intervention effects. Potential moderators (sex and age) were examined in exploratory analyses using three-way interaction terms.

Results: A total of 78 individuals (76.9% women, mean age 37.5 ± 10.2) were equally randomized into control (CG) and intervention (IG) groups. No significant group-by-time interactions were identified in the intention-to-treat analyses. However, per-protocol analysis suggested that the intervention increased leisure-time PA compared to controls (p = 0.004), with short-term increases (between-group changes of 119.6 min/week) and maintenance at follow-up (83.6 min/week). Exploratory moderator analyses indicated potential differences in intervention effects according to sex and age.

Conclusion: Although no significant effects were identified in the intention-to-treat analyses, per-protocol findings suggested potential increases in leisure-time PA among participants with higher adherence. Exploratory findings indicate possible variation according to sex and age, but these results should be interpreted with caution and considered hypothesis-generating. Overall, the findings highlight the importance of strategies to improve adherence in PA interventions targeting adults with depressive symptoms.

Trial registration: Brazilian Registry of Clinical Trials (ReBEC) RBR7466htj, April, 17 2023. Retrospectively registered.

背景:抑郁症与身体活动减少(PA)有关,干预措施的长期效果及其潜在调节因素的证据仍然有限。因此,本研究的目的是评估短期(干预后)和长期(六个月随访)促进情境性情绪调节干预对情境性情绪调节的影响,并探索成人抑郁症状的潜在调节因子。方法:对出现抑郁症状的成人进行随机、对照、评估盲法临床试验。干预持续了16周,每周两次。这些策略以自我决定理论为基础,旨在提高参与者对自己生活方式的认识,主要关注PA及其与抑郁症的关系。活动包括讲座,小组讨论,与家人和朋友的互动活动,以及不同背景下的私人助理实践。使用腕带加速度计评估特定强度的PA,并自我报告上下文PA(按类型和领域)。采用广义估计方程评价干预效果。潜在的调节因子(性别和年龄)在探索性分析中使用三方互动术语进行检验。结果:78例患者(76.9%为女性,平均年龄37.5±10.2岁)随机分为对照组(CG)和干预组(IG)。意向治疗分析中未发现显著的组间时间相互作用。然而,按方案分析表明,与对照组相比,干预增加了休闲时间PA (p = 0.004),短期增加(组间变化为119.6分钟/周),随访时维持(83.6分钟/周)。探索性调节分析表明,根据性别和年龄,干预效果可能存在差异。结论:虽然在意向治疗分析中没有发现显著的影响,但每个方案的研究结果表明,在依从性较高的参与者中,休闲时间PA可能会增加。探索性发现表明,根据性别和年龄可能存在差异,但这些结果应谨慎解释,并考虑到产生假设。总的来说,研究结果强调了提高成人抑郁症状PA干预依从性策略的重要性。试验注册:巴西临床试验注册中心(ReBEC) RBR7466htj, 20123年4月。回顾注册。
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引用次数: 0
Gender-disaggregated longitudinal associations between health behaviours and life satisfaction in community-dwelling older adults: a six-year growth curve analysis of the CLSA. 社区居住老年人健康行为与生活满意度之间按性别分类的纵向关联:里昂证券的六年增长曲线分析。
IF 7.1 1区 医学 Q1 NUTRITION & DIETETICS Pub Date : 2026-07-21 DOI: 10.1186/s12966-026-01956-3
Chiedozie James Alumona, Ogochukwu Kelechi Onyeso, Adesola C Odole, Laura Vogelsang, Jerome Singleton, Oluwagbohunmi Adetunji Awosoga

Background: Health behaviours such as physical activity, sedentary behaviour, nutrition, sleep, alcohol consumption, and smoking are modifiable determinants of life satisfaction - an essential outcome for healthy ageing and well-being. We explored the longitudinal association between these health behaviours and life satisfaction among older adults in Canada.

Methods: The study was a secondary analysis of data from the Canadian Longitudinal Study on Aging, focusing on 11,215 adults aged 65 years and older at baseline, with follow-ups 1 and 2 at three-year intervals. Data were analysed using linear mixed-effects growth curve models, stratified by gender, with health behaviours decomposed into within- and between-person components.

Results: At baseline, the participants' mean (SD) age was 72.94 (5.64) years, and 54.2% were women. Women had lower life satisfaction than men across waves, but the difference was trivial (B=-0.24, p = 0.035, predicted difference [pd]=-0.24 points, effect size [d]=-0.04). Men showed a decline in life satisfaction over time, though the effect size was small (B=-0.09, p = 0.004, pd=-0.54 points, d=-0.09). Within-person analyses showed that higher alcohol use relative to one's usual pattern was associated with lower life satisfaction (B=-0.23, p = 0.037, pd=-0.92 points, d=-0.15), especially among men, with an appreciable effect size (B=-0.35, p = 0.024, pd=-1.40 points, d=-0.24). In contrast, improvements in nutritional risk (B = 0.04, p < 0.001, pd = 0.24 points, d = 0.04) and sleep duration (B = 0.22, p < 0.001, pd = 0.32 points, d = 0.05) were associated with negligible concurrent increases in life satisfaction. At the between-person level, higher average physical activity across the waves was associated with slightly higher life satisfaction (B = 0.01, p = 0.004, pd = 0.58 points, d = 0.10), particularly among men (B = 0.01, p < 0.001, pd = 0.58 points, d = 0.10), whereas higher average sedentary time was weakly associated with lower life satisfaction (B=-0.04, p < 0.001, pd=-0.33 points, d=-0.06). Lower average nutritional risk (B = 0.20, p < 0.001, pd = 1.22 points, d = 0.21) and higher average sleep duration (B = 0.35, p < 0.001, pd = 0.51 points, d = 0.09) were associated with higher life satisfaction, with nutrition showing a modest effect size.

Conclusions: The findings demonstrate that behavioural changes and sustained health behaviours are associated with differences in older adults' life satisfaction, with gender-specific patterns, providing actionable evidence for individuals, healthcare practitioners, and policymakers to promote healthy behaviours.

背景:身体活动、久坐行为、营养、睡眠、饮酒和吸烟等健康行为是生活满意度的可改变决定因素,是健康老龄化和幸福的基本结果。我们在加拿大的老年人中探讨了这些健康行为和生活满意度之间的纵向联系。方法:该研究是对加拿大老龄化纵向研究数据的二次分析,重点研究了11215名65岁及以上的成年人,每三年随访1次和2次。使用线性混合效应增长曲线模型分析数据,按性别分层,并将健康行为分解为人与人之间和人与人之间的成分。结果:基线时,参与者的平均(SD)年龄为72.94(5.64)岁,其中54.2%为女性。女性的生活满意度低于男性,但差异微不足道(B=-0.24, p = 0.035,预测差异[pd]=-0.24点,效应量[d]=-0.04)。男性的生活满意度随着时间的推移而下降,尽管效应值很小(B=-0.09, p = 0.004, pd=-0.54点,d=-0.09)。个人分析表明,相对于一个人的通常模式,较高的酒精使用量与较低的生活满意度相关(B=-0.23, p = 0.037, pd=-0.92分,d=-0.15),特别是在男性中,具有明显的效应大小(B=-0.35, p = 0.024, pd=-1.40分,d=-0.24)。结论:研究结果表明,行为改变和持续的健康行为与老年人生活满意度的差异有关,并具有性别差异模式,为个人、医疗保健从业者和政策制定者促进健康行为提供了可操作的证据。
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引用次数: 0
Within-person associations of psychological factors with healthy or unhealthy diet in EMA studies in general adult populations: a systematic review and meta-analysis. 在普通成年人的EMA研究中,心理因素与健康或不健康饮食的人内关联:一项系统回顾和荟萃分析
IF 7.1 1区 医学 Q1 NUTRITION & DIETETICS Pub Date : 2026-07-17 DOI: 10.1186/s12966-026-01949-2
A DeSmet, D Powell, B Asiamah-Asare, D Kwasnicka, F Naughton, V Schneider, J Keller, G Ten Hoor, O Perski, D Kale, P Gérain

Background: (Un)healthy eating behaviours may vary by moment and psychological context. Ecological momentary assessment (EMA) is well-suited to study within-person, momentary, and context-dependent behaviours and correlates, as it uses repeated sampling of real-time experiences. Insights in such within-person relations could inform ecological momentary interventions. A systematic review and meta-analysis of these insights in a healthy population is, however, currently lacking. The aim of this systematic review and meta-analysis was to synthesise within-person associations between psychological factors and eating behaviour in healthy adults, and summarise methodological aspects of these studies.

Methods: Observational and experimental studies on psychological predictors of (un)healthy eating behaviours in adult healthy populations were included, based on a systematic search of Ovid MEDLINE, Embase, PsycINFO and Web of Science. Meta-analysis of ≥ 5 studies per predictor/outcome was performed in metafor R-package.

Results: During title and abstract screening, n = 2046 articles were reviewed (n = 119 from overarching review, n = 1927 from updated search), n = 208 were screened in full-text screening. Forty-nine (review) and fifteen studies (meta-analysis) were included. Most studies were observational, and used fixed time-based sampling, and most assessed food eaten since the last prompt/timeframe. Various measures reported on study adherence (between 79 and 90%). Only around half reported on reliability and/or validity of the predictors or outcomes, most often referring to an adaptation of non-EMA scales, with little information of their exact adaptation. Due to high diversity in conceptualization and reporting of effect sizes, not all could be meta-analyzed. Meta-analyses showed negative psychological triggers (NPT, e.g., negative affect, daily stress, and ruminations) predicted lower levels of healthy eating behaviour (β=-0.007, p=.028, k = 8, n total = 1,489), higher levels of unhealthy eating behaviour (β = 0.054, p=.022, k = 6, n total = 1,578), but had no significant association with unhealthy behaviour event occurrence (logOR=0.469, p=.095, k = 5, n total = 934). All meta-analyses were characterized by small effect sizes and important heterogeneity.

Conclusions: Associations at the within level of NPT with (un)healthy eating highlight their potential utility for inclusion in health promoting ecological momentary interventions. Nevertheless, the methodological and conceptual heterogeneity of the studies highlight a need for harmonized practices, including broader adoption of reporting guidelines, to facilitate cumulative knowledge in the field.

背景:不健康的饮食行为可能因时间和心理环境而异。生态瞬间评估(EMA)非常适合于研究人的、瞬间的、环境依赖的行为和相关关系,因为它使用了实时经验的重复采样。对这种人际关系的洞察可以为生态瞬时干预提供信息。然而,目前缺乏对健康人群中这些见解的系统回顾和荟萃分析。本系统综述和荟萃分析的目的是综合健康成年人心理因素与饮食行为之间的人际关系,并总结这些研究的方法学方面。方法:系统检索Ovid MEDLINE、Embase、PsycINFO和Web of Science,纳入成人健康人群(非)健康饮食行为心理预测因素的观察性和实验性研究。在meta -package中对每个预测因子/结局≥5项研究进行meta分析。结果:在标题和摘要筛选中,共筛选了n = 2046篇文章(总检索中n = 119篇,更新检索中n = 1927篇),全文筛选中n = 208篇。纳入49项研究(综述)和15项研究(荟萃分析)。大多数研究是观察性的,使用固定的时间为基础的抽样,大多数评估的是自上次提示/时间框架以来所吃的食物。研究依从性的各种测量报告(在79%到90%之间)。只有大约一半的人报告了预测因子或结果的可靠性和/或有效性,大多数人通常指的是对非ema量表的适应,很少有关于其确切适应的信息。由于概念化和效应量报告的高度多样性,并不是所有的都可以进行meta分析。meta分析显示,消极心理触发因素(NPT,如消极情绪、日常压力和反刍)预测较低水平的健康饮食行为(β=-0.007, p= 0.028, k = 8, n total = 1489),较高水平的不健康饮食行为(β= 0.054, p= 0.022, k = 6, n total = 1578),但与不健康行为事件的发生无显著相关性(logOR=0.469, p= 0.095, k = 5, n total = 934)。所有的荟萃分析都具有较小的效应量和重要的异质性。结论:NPT水平内与(非)健康饮食的关联突出了它们在促进健康的生态瞬时干预措施中的潜在效用。然而,这些研究的方法和概念各不相同,突出表明需要统一的做法,包括更广泛地采用报告准则,以促进该领域的累积知识。
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引用次数: 0
Meeting 24-hour movement guidelines among Canadian post-secondary students: temporal trends, disparities, and mental health associations. 加拿大大专学生24小时运动指南:时间趋势、差异和心理健康协会
IF 7.1 1区 医学 Q1 NUTRITION & DIETETICS Pub Date : 2026-07-16 DOI: 10.1186/s12966-026-01952-7
Meijun Hou, Mark R Beauchamp, Matthew Y W Kwan, Guy Faulkner

Background: Meeting the 24-Hour Movement Guidelines (24-HMG), comprising aerobic physical activity, sedentary behavior including recreational screen time, and sleep, is critical for post-secondary student health. However, multi-year temporal trends spanning the pandemic and post-pandemic period, as well as sociodemographic and mental health disparities, remain understudied in Canada. This limits the development of targeted interventions.

Methods: We conducted a serial cross-sectional analysis using Canadian Campus Wellbeing Survey data collected between 2019 and 2025. A self-reported questionnaire was administered annually to assess aerobic physical activity, sedentary behavior (including recreational screen time), sleep duration, sociodemographic characteristics, and mental health. Prevalence of meeting individual and integrated 24-HMG components was estimated. Temporal trends were examined using regression models with survey year treated as a continuous variable and were further stratified by sociodemographic characteristics and mental health status. Multivariable logistic regression was used to examine factors associated with meeting all guidelines and meeting none.

Results: Among 116,597 students (mean [SD] age, 23.95[8.02] years; 78,623[67.43%] women), divergent trends emerged. From 2019 to 2025, meeting physical activity and sedentary behavior guidelines increased, whereas meeting recreational screen time and sleep guidelines declined. The proportion meeting none of the guidelines significantly decreased, ranging from 7.45% to 4.44% (-0.29% [-0.30, -0.22], p < 0.001). Meeting all guidelines (14.66% in 2019, 8.92% in 2021, 11.74% in 2025) showed a positive linear trend (β = 0.30% [95% CI: 0.20, 0.40], p < 0.001) that sensitivity analyses attributed to transient COVID-19 fluctuations. Meeting none of the guidelines significantly decreased (β = -0.29% [-0.30, -0.22], p < 0.001). Disparities were observed: younger students (≤ 24 years), those identifying as non-binary/Two-Spirit or Black, those reporting lower parental education or high financial stress, and those experiencing severe mental distress or low well-being were less likely to meet integrated guidelines.

Conclusions: While post-pandemic improvements were observed in physical activity and sedentary time, prevalence of meeting recreational screen time and sleep guidelines declined over time. Overall compliance with all movement components remains low and socially patterned. Continued surveillance and focused, equity-informed campus health strategies are warranted to address persistent behavioral and mental health disparities in the digital era.

背景:符合24小时运动指南(24-HMG),包括有氧运动、久坐行为(包括娱乐屏幕时间)和睡眠,对中学生的健康至关重要。然而,在加拿大,对大流行期间和大流行后的多年时间趋势以及社会人口和心理健康差异的研究仍然不足。这限制了有针对性干预措施的发展。方法:我们使用2019年至2025年收集的加拿大校园健康调查数据进行了一系列横断面分析。每年进行一次自我报告问卷,以评估有氧运动、久坐行为(包括娱乐屏幕时间)、睡眠时间、社会人口特征和心理健康。估计满足单个和综合24-HMG成分的患病率。使用回归模型检验时间趋势,将调查年份作为连续变量,并根据社会人口特征和心理健康状况进一步分层。使用多变量逻辑回归来检查符合所有指南和不符合指南的相关因素。结果:116,597名学生(平均[SD]年龄23.95[8.02]岁,女性78,623名[67.43%])出现了不同的趋势。从2019年到2025年,满足体育活动和久坐行为指南的人数增加了,而满足娱乐屏幕时间和睡眠指南的人数减少了。不符合任何指南的比例显著下降,从7.45%到4.44%(-0.29%[-0.30,-0.22])。结论:虽然大流行后身体活动和久坐时间有所改善,但符合娱乐屏幕时间和睡眠指南的患病率随着时间的推移而下降。所有运动组成部分的整体顺应性仍然很低,并且社会模式。为了解决数字时代持续存在的行为和心理健康差异,有必要继续进行监测,并制定有针对性的、公平的校园健康战略。
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引用次数: 0
Acute cognitive effects of interruptions to prolonged sitting with brief standing or physical activity breaks: a systematic review and three-level meta-analysis. 长时间坐着,短暂站立或体力活动中断的急性认知影响:系统回顾和三水平荟萃分析。
IF 7.1 1区 医学 Q1 NUTRITION & DIETETICS Pub Date : 2026-07-13 DOI: 10.1186/s12966-026-01953-6
Mingnan Zhuang, Mingyue Yin, Zongnan Liu, Ningkun Xiao, Qing Yi, Zhiwei Fan, Henghao Yan, Xiupeng Li, Bitai Wu, Shuhan Qiu, Anqi Chen, Chao Xie, Chenghao Liu, Xintong Zou, Donglin Shi
<p><strong>Background: </strong>Prolonged sitting is strongly associated with impaired cognitive function. Although traditional exercise interventions have been shown to improve cognitive outcomes, their implementation is often limited by practical constraints. In contrast, introducing interruptions to prolonged sitting with brief bouts of standing or physical activity has emerged as a more feasible alternative. However, previous research has been dominated by qualitative reviews. Moreover, some quantitative studies have not adequately addressed effect-size dependency arising from multiple outcomes and time points within the same study, and quantitative evidence regarding specific cognitive domains and interruption-protocol parameters remains limited.</p><p><strong>Methods: </strong>Following the PRISMA guidelines, this study systematically searched PubMed, Web of Science, the Cochrane Library, Embase, and Scopus for randomized crossover trials published up to January 2026 that examined the effects of brief standing or physical activity breaks during prolonged sitting on cognitive function. A three-level random-effects meta-analysis was conducted to pool effect sizes, with cluster-robust variance estimation used to account for effect-size dependency resulting from multiple outcomes and time points within the same study. In addition, subgroup and meta-regression analyses were performed to investigate potential moderating factors. Risk of bias was assessed using the Risk of Bias 2 tool, and the certainty of the evidence was evaluated according to the GRADE framework.</p><p><strong>Results: </strong>A total of 21 randomized crossover trials involving 433 participants were included. Compared with prolonged sitting, sitting interruptions involving standing or physical activity were associated with improvements in executive function (k = 16 studies; Hedges' g = 0.18; 95% CI: 0.03 to 0.32; p = 0.016) and memory function (k = 10 studies; Hedges' g = 0.37; 95% CI: 0.13 to 0.61; p = 0.003). However, no clear evidence of improvement was found for global cognition (k = 2 studies; Hedges' g = 0.57; 95% CI: -0.20 to 1.34; p = 0.122), information processing (k = 4 studies; Hedges' g = 0.32; 95% CI: -0.21 to 0.86; p = 0.221), or attention (k = 5 studies; Hedges' g = - 0.08; 95% CI: -0.38 to 0.22; p = 0.575). The certainty of evidence was low for executive function, memory function, information processing, and attention, and very low for global cognition. Exploratory subgroup analyses suggested that cognitive benefits were more pronounced in older adults and in individuals with overweight or obesity. Interruptions involving walking showed relatively consistent beneficial effects, whereas low-intensity activity was associated with particularly marked improvements in memory function (p for subgroup difference < 0.05). Meta-regression indicated that a higher interruption frequency was associated with greater improvements in executive function, whereas improvements i
背景:久坐与认知功能受损密切相关。虽然传统的运动干预已被证明可以改善认知结果,但其实施往往受到实际约束的限制。相比之下,在长时间坐着的时候,短暂的站立或体育活动是一种更可行的选择。然而,以往的研究以定性评价为主。此外,一些定量研究没有充分解决同一研究中多个结果和时间点产生的效应大小依赖性,关于特定认知领域和中断协议参数的定量证据仍然有限。方法:遵循PRISMA指南,本研究系统地检索了PubMed、Web of Science、Cochrane Library、Embase和Scopus,检索了截至2026年1月发表的随机交叉试验,这些试验研究了长时间坐着时短暂站立或身体活动休息对认知功能的影响。对效应大小进行了三水平随机效应荟萃分析,使用聚类稳健方差估计来解释同一研究中多个结果和时间点产生的效应大小依赖性。此外,进行亚组和元回归分析以调查潜在的调节因素。使用Risk of bias 2工具评估偏倚风险,并根据GRADE框架评估证据的确定性。结果:共纳入21项随机交叉试验,共纳入433名受试者。与长时间坐着相比,包括站立或体力活动在内的坐着中断与执行功能(k = 16项研究;Hedges' g = 0.18; 95% CI: 0.03至0.32;p = 0.016)和记忆功能(k = 10项研究;Hedges' g = 0.37; 95% CI: 0.13至0.61;p = 0.003)的改善有关。然而,在整体认知(k = 2项研究;Hedges' g = 0.57; 95% CI: -0.20至1.34;p = 0.122)、信息处理(k = 4项研究;Hedges' g = 0.32; 95% CI: -0.21至0.86;p = 0.221)或注意力(k = 5项研究;Hedges' g = - 0.08; 95% CI: -0.38至0.22;p = 0.575)方面没有发现明显的改善证据。证据的确定性在执行功能、记忆功能、信息处理和注意力方面较低,在整体认知方面很低。探索性亚组分析表明,在老年人和超重或肥胖人群中,认知益处更为明显。包括步行的中断显示出相对一致的有益效果,而低强度的活动与记忆功能的显著改善相关(亚组差异为p)。结论:在长时间坐着期间引入短暂的站立或身体活动休息可能与执行功能和记忆功能的轻微急性改善相关,尽管这些结果的证据确定性仍然很低。关于全局认知、信息处理和注意的证据仍然不足且不一致,全局认知的确定性非常低。观察到的参与者特征和中断参数之间的差异应被解释为探索性的,不足以支持明确的规定性建议。从可行性的角度来看,低强度步行可能是一种可行的选择,但其相对功效需要在更大、更高质量的研究中得到证实。试验注册:CRD420251273873;注册于2025年12月26日。
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引用次数: 0
Preliminary trial findings from Harvest Share: a cost-offset community supported agriculture model to improve diet in New York City. Harvest Share的初步试验结果:一个成本抵消社区支持的农业模式,以改善纽约市的饮食。
IF 7.1 1区 医学 Q1 NUTRITION & DIETETICS Pub Date : 2026-07-11 DOI: 10.1186/s12966-026-01906-z
Madison N LeCroy, Luisa Cardenas, Sze Wan Celine Chan, Maya Scherer, Brett Dolotina, Dalila Victoria Lanza, Rhyden Dowd, Michelle Hughes, Steve Mei, Kathleen Barth, Mayssa Gregoire, Ana I Rodriguez Gil, Marisa DeDominicis, Maria Acevedo, Alina Rodriguez, Lorena Kourousias, Mary Cheng, Mitchel Wu, Jairo Guzman, Hayley M Belli, R Gabriela Barajas-Gonzalez, Lan N Đoàn, Stella S Yi

Background: Community-supported agriculture (CSA) programs are an evidence-based approach to increase fruit and vegetable (F&V) intake while also strengthening the local farming economy and social bonds. However, uptake has been limited due to payment structures and/or CSA offerings not reflecting local community preferences. To address this need, we developed the Harvest Share program, which centers a cost-offset CSA tailored to local communities in New York City. Here, our objective is to conduct a mixed-methods evaluation of year one of Harvest Share to evaluate its preliminary impact on diet and social outcomes.

Methods: Harvest Share participants (n = 542; n = 153 CSA and n = 389 comparison community [CC] participants) completed surveys and Veggie Meter readings-an objective measure of F&V intake-at the start and end of the 20-week growing season (~ June-October 2023). Qualitative interviews were conducted with n = 23 participants to understand program experiences. Mixed effect linear regression models were used to examine the impact of Harvest Share on primary (Veggie Meter score) and secondary outcomes (diet and social variables). Significant associations were based on the group (CSA vs. CC) by time (pre vs. post) interaction term. Descriptive, thematic analysis was used to analyze interviews.

Results: Across CSA and CC participants, individuals were, on average, 44 years old; female (80%); Asian (48%) or Hispanic/Latino (37%); and of lower socioeconomic status (55% with annual household income <$50,000). Change in Veggie Meter scores (p = 0.02), F&V consumption (p < 0.0001), and F&V knowledge (p = 0.0004) significantly differed between CSA and CC participants. Veggie Meter scores trended downwards in both groups, but the decline was non-significant among CSA participants (CSA: -7.43 [95%CI: -21.30, 6.44]; CC: -27.29 [95%CI: -36.27, -18.30]). CSA participation was associated with an increased number of different types of F&V consumed (CSA: 3.74 [95%CI: 2.94, 4.53]; CC: 0.05 [95%CI: -0.48, 0.57]) and decreased number of F&V that individuals did not know how to prepare (CSA: -1.60 [95%CI: -2.28, -0.93]; CC: -0.13 [95%CI: -0.57, 0.32]). Qualitative interviews indicated the CSA also promoted family and community connection and improved physical and mental health.

Conclusions: A cost-offset, tailored CSA can improve diet and social outcomes using a model that supports farmers.

Trial registration: Registered on ClinicalTrials.gov as NCT05381766 (registration date: May 19, 2022).

背景:社区支持农业(CSA)项目是一种以证据为基础的方法,旨在增加水果和蔬菜(F&V)的摄入量,同时加强当地农业经济和社会纽带。然而,由于支付结构和/或CSA产品没有反映当地社区的偏好,因此吸收受到限制。为了满足这一需求,我们制定了“收获分享”计划,该计划的核心是为纽约市当地社区量身定制的成本抵消CSA。在这里,我们的目标是对Harvest Share第一年进行混合方法评估,以评估其对饮食和社会结果的初步影响。方法:Harvest Share参与者(n = 542; n = 153 CSA和n = 389比较社区[CC]参与者)在20周生长季节开始和结束时(~ 2023年6月至10月)完成了调查和Veggie Meter读数-一种客观测量F&V摄入量的方法。对23名参与者进行了定性访谈,以了解项目经验。使用混合效应线性回归模型来检验Harvest Share对主要(Veggie Meter评分)和次要结局(饮食和社会变量)的影响。各组(CSA vs. CC)在时间(交互作用前vs.交互作用后)上存在显著关联。使用描述性、专题分析来分析访谈。结果:在CSA和CC参与者中,个体平均年龄为44岁;女性(80%);亚裔(48%)或西班牙裔/拉丁裔(37%);结论:使用支持农民的模型,成本抵消、量身定制的CSA可以改善饮食和社会结果。试验注册:在ClinicalTrials.gov注册为NCT05381766(注册日期:2022年5月19日)。
{"title":"Preliminary trial findings from Harvest Share: a cost-offset community supported agriculture model to improve diet in New York City.","authors":"Madison N LeCroy, Luisa Cardenas, Sze Wan Celine Chan, Maya Scherer, Brett Dolotina, Dalila Victoria Lanza, Rhyden Dowd, Michelle Hughes, Steve Mei, Kathleen Barth, Mayssa Gregoire, Ana I Rodriguez Gil, Marisa DeDominicis, Maria Acevedo, Alina Rodriguez, Lorena Kourousias, Mary Cheng, Mitchel Wu, Jairo Guzman, Hayley M Belli, R Gabriela Barajas-Gonzalez, Lan N Đoàn, Stella S Yi","doi":"10.1186/s12966-026-01906-z","DOIUrl":"10.1186/s12966-026-01906-z","url":null,"abstract":"<p><strong>Background: </strong>Community-supported agriculture (CSA) programs are an evidence-based approach to increase fruit and vegetable (F&V) intake while also strengthening the local farming economy and social bonds. However, uptake has been limited due to payment structures and/or CSA offerings not reflecting local community preferences. To address this need, we developed the Harvest Share program, which centers a cost-offset CSA tailored to local communities in New York City. Here, our objective is to conduct a mixed-methods evaluation of year one of Harvest Share to evaluate its preliminary impact on diet and social outcomes.</p><p><strong>Methods: </strong>Harvest Share participants (n = 542; n = 153 CSA and n = 389 comparison community [CC] participants) completed surveys and Veggie Meter readings-an objective measure of F&V intake-at the start and end of the 20-week growing season (~ June-October 2023). Qualitative interviews were conducted with n = 23 participants to understand program experiences. Mixed effect linear regression models were used to examine the impact of Harvest Share on primary (Veggie Meter score) and secondary outcomes (diet and social variables). Significant associations were based on the group (CSA vs. CC) by time (pre vs. post) interaction term. Descriptive, thematic analysis was used to analyze interviews.</p><p><strong>Results: </strong>Across CSA and CC participants, individuals were, on average, 44 years old; female (80%); Asian (48%) or Hispanic/Latino (37%); and of lower socioeconomic status (55% with annual household income <$50,000). Change in Veggie Meter scores (p = 0.02), F&V consumption (p < 0.0001), and F&V knowledge (p = 0.0004) significantly differed between CSA and CC participants. Veggie Meter scores trended downwards in both groups, but the decline was non-significant among CSA participants (CSA: -7.43 [95%CI: -21.30, 6.44]; CC: -27.29 [95%CI: -36.27, -18.30]). CSA participation was associated with an increased number of different types of F&V consumed (CSA: 3.74 [95%CI: 2.94, 4.53]; CC: 0.05 [95%CI: -0.48, 0.57]) and decreased number of F&V that individuals did not know how to prepare (CSA: -1.60 [95%CI: -2.28, -0.93]; CC: -0.13 [95%CI: -0.57, 0.32]). Qualitative interviews indicated the CSA also promoted family and community connection and improved physical and mental health.</p><p><strong>Conclusions: </strong>A cost-offset, tailored CSA can improve diet and social outcomes using a model that supports farmers.</p><p><strong>Trial registration: </strong>Registered on ClinicalTrials.gov as NCT05381766 (registration date: May 19, 2022).</p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13393813/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148425932","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}
引用次数: 0
Does a walking intervention work equally in low and high walkable areas? A large-scale incentive program in Japan. 步行干预在地势低和地势高的可步行区域是否同样有效?日本的大规模激励计划。
IF 7.1 1区 医学 Q1 NUTRITION & DIETETICS Pub Date : 2026-07-08 DOI: 10.1186/s12966-026-01946-5
Takumi Abe, Takemi Sugiyama, Neville Owen, Kimihiro Hino

Background: Research investigating whether walking promotion programs work equally at different levels of walkability needs to be scaled up. This study examined the associations of neighbourhood walkability attributes with adult participants' withdrawal from an incentive-based walking promotion program, and changes in step counts among non-withdrawing participants.

Methods: We used data from 30,530 participants aged 40-74 years enrolled in an incentive walking program in Yokohama City, Japan, in which uploading step-count data was required to enter a raffle for rewards. The follow-up period was up to 48 months. Withdrawal was defined as not uploading step counts during the last six months of the follow-up. Neighbourhood walkability attributes included population density, intersection density, destination diversity, and their composite measure (the Japan Postcode-level Walkability Index). We fitted multilevel Cox proportional hazards models to examine the associations between walkability attributes and program withdrawal, and mixed-effects models to examine the interaction between walkability attributes and time on step counts.

Results: During the follow-up period (median: 28 months), 62% of participants withdrew from the program. Compared to those living in the lowest intersection density areas, those in areas with the highest, the second-highest, and the third-highest intersection density had 7% (95% CI: 0.88, 0.98), 6% (0.89, 0.99), and 7% (0.89, 0.98) lower hazard ratios of withdrawal from the program, respectively. The third-highest population density areas showed a 5% (1.00, 1.10) higher hazard ratio of withdrawal, relative to the lowest. Step counts, which exceeded 7,000 steps/day during the study period, declined between the first and second years but slightly increased from the second to third year. There were no statistically significant interactions between the neighbourhood walkability attributes and time in relation to changes in step counts.

Conclusion: Living in areas with higher street connectivity was associated with a higher retention in the program, whereas the program showed almost comparable effectiveness regarding changes in step counts for continuing participants living in areas with different levels of walkability. These findings suggest the need for initiatives to support adherence to walking-incentive programs, particularly among those who live in areas with less connected streets.

背景:关于步行促进计划是否在不同的步行能力水平上发挥同等作用的研究需要扩大规模。本研究考察了社区步行属性与成年参与者退出基于激励的步行促进计划的关系,以及未退出参与者的步数变化。方法:我们使用的数据来自30,530名年龄在40-74岁之间的参与者,他们参加了日本横滨市的一项激励步行计划,在该计划中,上传步数数据需要参加抽奖以获得奖励。随访时间长达48个月。退出被定义为在最后六个月的随访中没有上传步数。社区可步行性属性包括人口密度、十字路口密度、目的地多样性及其综合度量(日本邮政等级可步行性指数)。我们拟合了多水平Cox比例风险模型来检验步行性属性与退出计划之间的关联,并采用混合效应模型来检验步行性属性与步数时间之间的相互作用。结果:在随访期间(中位数:28个月),62%的参与者退出了该计划。与生活在十字路口密度最低地区的人相比,生活在十字路口密度最高、第二高和第三高地区的人退出计划的风险比分别降低了7% (95% CI: 0.88, 0.98)、6%(0.89,0.99)和7%(0.89,0.98)。人口密度第三高的地区相对于最低的地区,撤退风险比高出5%(1.00,1.10)。在研究期间,步数超过7000步/天,在第一年和第二年之间下降,但在第二年到第三年略有增加。邻里步行属性和时间与步数变化之间没有统计学上显著的相互作用。结论:生活在街道连通性较高的地区与项目中较高的保留率相关,而对于生活在不同步行水平地区的持续参与者,该项目在步数变化方面显示出几乎相当的有效性。这些发现表明,需要采取措施来支持坚持步行激励计划,特别是那些生活在街道连接较少的地区的人。
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引用次数: 0
The effectiveness of nudge-based physical activity interventions in frail older adults: a systematic review. 以轻推为基础的身体活动干预对体弱老年人的有效性:一项系统综述。
IF 7.1 1区 医学 Q1 NUTRITION & DIETETICS Pub Date : 2026-07-07 DOI: 10.1186/s12966-026-01948-3
Yang Li, Xiaoxing Lai, Yutong Cui, Xiaopeng Huo, Donglei Shi, Yonghua Cai, Ping Jiang, Shuai Zhang

Background: Frailty is a prevalent geriatric syndrome in older adults, characterized by reduced physiological reserves and increased vulnerability to adverse health outcomes. Physical inactivity is a key modifiable risk factor that accelerates frailty progression. Nudge-based interventions, which subtly guide behavior through choice architecture, offer a promising, low-cost approach to promoting physical activity and improving health outcomes in this population METHODS: A systematic search was conducted in PubMed, EMBASE, Cochrane Library, Web of Science, PsycINFO, and EconLit from inception to May 20, 2025, for randomized controlled trials (RCTs) on nudge-based physical activity interventions in frail older adults. Two reviewers independently performed study selection, data extraction, and quality assessment using the Cochrane risk-of-bias tool. Pooled effect sizes were calculated using random- or fixed-effects models as appropriate, with standardized mean difference (SMD) or mean difference (MD) reported for continuous outcomes. Statistical heterogeneity was assessed using I² and Cochran's Q tests.

Results: A total of 16 studies involving 2,730 participants were included. Meta-analysis indicated that physical activity interventions based on nudge strategies significantly improved depressive symptoms [SMD = - 0.30, 95% CI (- 0.51, - 0.09), P = 0.016], enhanced cognitive function [SMD = 0.47, 95% CI (0.26, 0.69), P = 0.005], increased physical activity levels [SMD = 1.09, 95% CI (0.43, 1.75), P = 0.001], improved gait speed [MD = 0.07, 95% CI (0.03, 0.11), P = 0.001], enhanced quality of life (QoL) [SMD = 1.02, 95% CI (0.09, 1.94), P = 0.031], and reduced frailty scores [SMD = - 2.00, 95% CI (- 3.01, - 1.00), P < 0.001]. Although improvements were observed in self-efficacy, grip strength, balance ability, and Timed Up and Go (TUG) test performance, these differences were not statistically significant (P > 0.05).

Conclusions: Physical activity interventions based on nudge strategies can significantly increase physical activity levels, effectively improve frailty status, depressive symptoms, cognitive function, gait speed, and QoL among frail older adults. These interventions represent a low-cost and highly feasible behavioral approach for promoting healthy aging.

Registration: CRD420251229406.

背景:虚弱是老年人普遍存在的一种老年综合征,其特征是生理储备减少,对不良健康结果的易感性增加。缺乏身体活动是加速虚弱进程的一个关键的可改变的危险因素。方法:系统检索PubMed、EMBASE、Cochrane图书馆、Web of Science、PsycINFO和EconLit,从一开始到2025年5月20日,对体弱体弱老年人进行基于轻推的身体活动干预的随机对照试验(rct)。两位审稿人使用Cochrane偏倚风险工具独立进行研究选择、数据提取和质量评估。采用随机或固定效应模型计算合并效应大小,并报告连续结果的标准化平均差(SMD)或平均差(MD)。采用I²和Cochran’s Q检验评估统计异质性。结果:共纳入16项研究,涉及2730名受试者。荟萃分析表明,身体活动干预基于推动策略显著改善抑郁症状(SMD = - 0.30, 95%可信区间(- 0.51,0.09),P = 0.016),增强认知功能(SMD = 0.47, 95% CI (0.26, 0.69), P = 0.005),增加身体活动水平(SMD = 1.09, 95% CI (0.43, 1.75), P = 0.001),改善步态速度(MD = 0.07, 95% CI (0.03, 0.11), P = 0.001),提高生活质量(QoL) (SMD = 1.02, 95% CI (0.09, 1.94), P = 0.031),和减少弱点分数(SMD = - 2.00, 95%可信区间(- 3.01,1.00),P 0.05)。结论:基于轻推策略的身体活动干预可显著提高体弱老年人的身体活动水平,有效改善虚弱状态、抑郁症状、认知功能、步速和生活质量。这些干预措施是促进健康老龄化的低成本和高度可行的行为方法。注册:CRD420251229406。
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引用次数: 0
Joint association of physical activity and screen exposure with subsequent suspected developmental coordination disorder in preschool children: a nationwide population-based study. 学龄前儿童身体活动和屏幕暴露与随后疑似发育协调障碍的联合关联:一项基于全国人群的研究
IF 7.1 1区 医学 Q1 NUTRITION & DIETETICS Pub Date : 2026-07-06 DOI: 10.1186/s12966-026-01943-8
Liang Du, Xiao Wang, Jing Li, Winnie Wan-Yee Tso, Chai Yin Charlie Fan, Gareth J Williams, Wenchong Du, Jing Hua

Background: Developmental coordination disorder (DCD) is a common neurodevelopmental condition in preschoolers. Physical activity (PA) and screen exposure are two highly prevalent and modifiable daily behaviors in early childhood, but evidence regarding their joint association with DCD is limited. This study aimed to investigate the joint associations of PA and screen exposure time (SET) with subsequent suspected DCD in Chinese preschoolers.

Methods: This study used data from a nationally representative, stratified cluster survey covering 551 cities across China. Motor coordination was assessed by the Little Developmental Coordination Disorder Questionnaire (LDCDQ), and suspected DCD was defined according to age- and sex-specific cut-off values. Parent-reported data was used to calculate total daily physical activity (TDPA), moderate-to-vigorous physical activity (MVPA), and daily SET over the previous 12 months. The interactions between PA and SET were examined on both additive and multiplicative scale. Multilevel logistic regression models were employed to explore the association of PA and SET with suspected DCD.

Results: The study included 129,278 preschoolers, among whom 19,969 (15.4%) were suspected DCD. Compared with children in the normal TDPA & SET < 1 h group, the group of low TDPA & SET > 4 h exhibited highest odds of subsequent suspected DCD (aOR = 2.29, 95% CI: 2.02-2.60) when adjusting for covariates; while compared with the normal MVPA & SET < 1 h, those with normal MVPA & SET > 4 h exhibited highest odds of suspected DCD (aOR = 1.96, 95% CI: 1.78-2.15). Analysis of interaction on additive scale (RERI = -0.22, 95% CI: -0.31 to -0.13) and multiplicative scale (aOR = 0.87, 95% CI: 0.80-0.94) indicated that a significantly negative interaction was observed between low MVPA and SET at 1-4 h/day using normal MVPA & SET < 1 h as the reference. Stratified analyses revealed that: (1) low TDPA was a risk factor for suspected DCD at SET ≤ 4 h, whereas low MVPA appeared protective; and (2) across all PA strata, SET ≥ 1 h was significantly associated with the risk of suspected DCD.

Conclusions: Insufficient TDPA, higher MVPA, and excessive SET were associated with a higher risk of subsequent suspected DCD among Chinese preschoolers. A protective interaction was observed between low MVPA and moderate screen exposure (1-4 h/day).

背景:发育协调障碍(DCD)是学龄前儿童常见的神经发育障碍。体育活动(PA)和屏幕暴露是儿童早期两种非常普遍且可改变的日常行为,但关于它们与DCD联合关联的证据有限。本研究旨在探讨PA和屏幕暴露时间(SET)与中国学龄前儿童继发疑似DCD的联合关系。方法:本研究使用的数据来自全国具有代表性的分层聚类调查,覆盖全国551个城市。采用小发育协调障碍问卷(LDCDQ)评估运动协调能力,并根据年龄和性别的临界值对疑似DCD进行定义。父母报告的数据用于计算过去12个月的每日总体力活动(TDPA)、中度至剧烈体力活动(MVPA)和每日SET。PA和SET之间的相互作用在加性和乘法尺度上进行了检验。采用多水平logistic回归模型探讨PA和SET与疑似DCD的关系。结果:共纳入129278名学龄前儿童,其中疑似DCD者19969人(15.4%)。经协变量调整后,与TDPA和SET正常的儿童相比,4小时后出现疑似DCD的几率最高(aOR = 2.29, 95% CI: 2.02-2.60);而与正常MVPA和SET相比,4小时疑似DCD的几率最高(aOR = 1.96, 95% CI: 1.78 ~ 2.15)。在加法量表(rei = -0.22, 95% CI: -0.31 ~ -0.13)和乘法量表(aOR = 0.87, 95% CI: 0.80 ~ 0.94)上的相互作用分析表明,在MVPA和SET正常的情况下,低MVPA和SET在1 ~ 4 h/d之间存在显著的负相互作用。结论:TDPA不足、MVPA较高和SET过高与中国学龄前儿童随后疑似DCD的风险较高相关。在低MVPA和中等屏幕暴露(1-4小时/天)之间观察到保护性相互作用。
{"title":"Joint association of physical activity and screen exposure with subsequent suspected developmental coordination disorder in preschool children: a nationwide population-based study.","authors":"Liang Du, Xiao Wang, Jing Li, Winnie Wan-Yee Tso, Chai Yin Charlie Fan, Gareth J Williams, Wenchong Du, Jing Hua","doi":"10.1186/s12966-026-01943-8","DOIUrl":"https://doi.org/10.1186/s12966-026-01943-8","url":null,"abstract":"<p><strong>Background: </strong>Developmental coordination disorder (DCD) is a common neurodevelopmental condition in preschoolers. Physical activity (PA) and screen exposure are two highly prevalent and modifiable daily behaviors in early childhood, but evidence regarding their joint association with DCD is limited. This study aimed to investigate the joint associations of PA and screen exposure time (SET) with subsequent suspected DCD in Chinese preschoolers.</p><p><strong>Methods: </strong>This study used data from a nationally representative, stratified cluster survey covering 551 cities across China. Motor coordination was assessed by the Little Developmental Coordination Disorder Questionnaire (LDCDQ), and suspected DCD was defined according to age- and sex-specific cut-off values. Parent-reported data was used to calculate total daily physical activity (TDPA), moderate-to-vigorous physical activity (MVPA), and daily SET over the previous 12 months. The interactions between PA and SET were examined on both additive and multiplicative scale. Multilevel logistic regression models were employed to explore the association of PA and SET with suspected DCD.</p><p><strong>Results: </strong>The study included 129,278 preschoolers, among whom 19,969 (15.4%) were suspected DCD. Compared with children in the normal TDPA & SET < 1 h group, the group of low TDPA & SET > 4 h exhibited highest odds of subsequent suspected DCD (aOR = 2.29, 95% CI: 2.02-2.60) when adjusting for covariates; while compared with the normal MVPA & SET < 1 h, those with normal MVPA & SET > 4 h exhibited highest odds of suspected DCD (aOR = 1.96, 95% CI: 1.78-2.15). Analysis of interaction on additive scale (RERI = -0.22, 95% CI: -0.31 to -0.13) and multiplicative scale (aOR = 0.87, 95% CI: 0.80-0.94) indicated that a significantly negative interaction was observed between low MVPA and SET at 1-4 h/day using normal MVPA & SET < 1 h as the reference. Stratified analyses revealed that: (1) low TDPA was a risk factor for suspected DCD at SET ≤ 4 h, whereas low MVPA appeared protective; and (2) across all PA strata, SET ≥ 1 h was significantly associated with the risk of suspected DCD.</p><p><strong>Conclusions: </strong>Insufficient TDPA, higher MVPA, and excessive SET were associated with a higher risk of subsequent suspected DCD among Chinese preschoolers. A protective interaction was observed between low MVPA and moderate screen exposure (1-4 h/day).</p>","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":" ","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148399778","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}
引用次数: 0
Development and evaluation of wrist- and thigh-worn accelerometer algorithms using self-training machine learning models for classification of activity type and posture: towards device placement-agnostic methods in the ProPASS consortium. 使用自我训练机器学习模型进行活动类型和姿势分类的腕部和大腿上佩戴的加速度计算法的开发和评估:在ProPASS联盟中迈向设备位置无关的方法。
IF 7.1 1区 医学 Q1 NUTRITION & DIETETICS Pub Date : 2026-07-02 DOI: 10.1186/s12966-026-01930-z
Matthew N Ahmadi, Nicholas Koemel, Raaj Biswas, Andreas Holtermann, Annemarie Koster, Andrew Atkins, Richard Pulsford, Borja Del Pozo Cruz, Vegar Rangul, John Mitchell, Joanna Blodgett, Pasan Hettiarachchi, Magnus Svartengren, Malcolm Granat, Bronwyn Clark, Mark Hamer, Emmanuel Stamatakis
<p><strong>Background: </strong>Wearable accelerometers are widely used in health research, but differing placements (e.g. wrist vs. thigh) hinder harmonising activity classification across studies. Prior studies report 1.5- to 2.0-fold differences in physical activity level by wear location, hampering data comparability, and compromising the potential for pooling data to develop consortia and carrying out Meta- and Individual Participant Data analysis. Although supervised machine learning is increasingly used in wearables research, its reliance on extensive labelled data limits its use in free-living datasets. Semi-supervised learning offers an efficient alternative by using laboratory collected labelled data to iteratively self-train models on unlabelled free-living data. Using a self-training approach, the aim of this study was to train and evaluate algorithms for wrist- and thigh-worn devices to facilitate harmonisation of posture and activity type classification between placements.</p><p><strong>Methods: </strong>A total of 146 participants aged 30-75 years completed either structured laboratory-based activity trials or one of two independent free-living assessments while wearing Axivity AX3 accelerometers on the wrist and thigh. For each placement, a supervised Random Forest classifier was initially trained using a labelled laboratory dataset (n = 40) to classify sitting, standing, walking, running, stair climbing, and cycling - and then re-trained using self-training on free-living data (n = 53, independent to the laboratory study sample). The final models were validated using another hold-out free-living independent dataset (n = 53) with ground-truth activity labels obtained via direct video observation. Overall model comparison and performance was assessed using accuracy, kappa statistic, and F1 scores. Individual activity class comparison and performance was evaluated using equivalence testing, confusion matrices, and coefficient of variation between the wrist and thigh estimates.</p><p><strong>Results: </strong>During a total of 43,800 min, of which 19,080 min were in the hold-out dataset, both self-trained models achieved high overall classification accuracy: 91.8% (SD = 6.8%) for the wrist and 95.1% (SD = 5.4%) for the thigh. The overall F1 score was 88.2 (SD = 9.6%) for the wrist classifier and 90.1 (SD = 9.3%) for the thigh classifier. Equivalence testing demonstrated that both classifiers produced activity duration estimates statistically equivalent to ground-truth for all activity types except stair climbing. Confusion matrices for the wrist demonstrated very good to excellent (88% - 97%) classification accuracy for sitting, walking, running, and cycling, and good accuracy for standing and stair climbing (71%-78%). For the thigh, classification performance was very good to excellent (83% - 98%) across sitting, standing, walking, running, and cycling, with good accuracy for stair climbing (75%). The coefficient of variation values
背景:可穿戴式加速度计广泛用于健康研究,但不同的位置(例如手腕与大腿)阻碍了研究中活动分类的协调。先前的研究报告称,不同佩戴位置的人的身体活动水平差异为1.5至2.0倍,这阻碍了数据的可比性,并损害了汇集数据以建立联盟和进行元和个人参与者数据分析的潜力。尽管监督式机器学习越来越多地用于可穿戴设备研究,但它对大量标记数据的依赖限制了它在自由生活数据集中的应用。半监督学习提供了一种有效的替代方法,它使用实验室收集的标记数据在未标记的自由生活数据上迭代地自训练模型。采用自我训练方法,本研究的目的是训练和评估手腕和大腿穿戴设备的算法,以促进姿势和活动类型分类的协调。方法:共有146名年龄在30-75岁之间的参与者完成了结构化的基于实验室的活动试验或两个独立的自由生活评估之一,同时在手腕和大腿上佩戴了Axivity AX3加速度计。对于每个位置,一个有监督的随机森林分类器最初使用标记的实验室数据集(n = 40)进行训练,以对坐、站、走、跑、爬楼梯和骑自行车进行分类,然后使用自由生活数据(n = 53,独立于实验室研究样本)进行自我训练。最后的模型使用另一个坚持自由生活的独立数据集(n = 53)进行验证,该数据集具有通过直接视频观察获得的真实活动标签。使用准确性、kappa统计量和F1分数评估整体模型比较和性能。使用等效检验、混淆矩阵和手腕和大腿估计值之间的变异系数来评估个体活动类别的比较和表现。结果:在总共43,800分钟的时间里,其中19,080分钟是在保持数据集中,两个自我训练的模型都取得了很高的总体分类精度:手腕91.8% (SD = 6.8%),大腿95.1% (SD = 5.4%)。手腕分类器的F1总得分为88.2 (SD = 9.6%),大腿分类器的F1总得分为90.1 (SD = 9.3%)。等效性检验表明,对于除爬楼梯以外的所有活动类型,两个分类器产生的活动持续时间估计在统计上与基本事实相等。腕关节的混淆矩阵对坐、走、跑和骑自行车的分类准确率非常好(88% - 97%),对站立和爬楼梯的分类准确率很好(71%-78%)。对于大腿,坐着、站立、走路、跑步和骑自行车的分类表现非常好(83% - 98%),爬楼梯的准确率很高(75%)。变异系数的取值范围为奔跑的0.022到站立的0.140。结论:这些发现突出了自我训练模型的潜力,以支持使用不同佩戴位置收集的可穿戴加速度计数据的协调。自我训练模型减少了对大量标记数据的依赖,并证明了腕部和大腿上佩戴的加速度计具有高的活动类型分类准确性,与几乎所有活动类型的真实数据具有高度的一致性和等效性。
{"title":"Development and evaluation of wrist- and thigh-worn accelerometer algorithms using self-training machine learning models for classification of activity type and posture: towards device placement-agnostic methods in the ProPASS consortium.","authors":"Matthew N Ahmadi, Nicholas Koemel, Raaj Biswas, Andreas Holtermann, Annemarie Koster, Andrew Atkins, Richard Pulsford, Borja Del Pozo Cruz, Vegar Rangul, John Mitchell, Joanna Blodgett, Pasan Hettiarachchi, Magnus Svartengren, Malcolm Granat, Bronwyn Clark, Mark Hamer, Emmanuel Stamatakis","doi":"10.1186/s12966-026-01930-z","DOIUrl":"10.1186/s12966-026-01930-z","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Wearable accelerometers are widely used in health research, but differing placements (e.g. wrist vs. thigh) hinder harmonising activity classification across studies. Prior studies report 1.5- to 2.0-fold differences in physical activity level by wear location, hampering data comparability, and compromising the potential for pooling data to develop consortia and carrying out Meta- and Individual Participant Data analysis. Although supervised machine learning is increasingly used in wearables research, its reliance on extensive labelled data limits its use in free-living datasets. Semi-supervised learning offers an efficient alternative by using laboratory collected labelled data to iteratively self-train models on unlabelled free-living data. Using a self-training approach, the aim of this study was to train and evaluate algorithms for wrist- and thigh-worn devices to facilitate harmonisation of posture and activity type classification between placements.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A total of 146 participants aged 30-75 years completed either structured laboratory-based activity trials or one of two independent free-living assessments while wearing Axivity AX3 accelerometers on the wrist and thigh. For each placement, a supervised Random Forest classifier was initially trained using a labelled laboratory dataset (n = 40) to classify sitting, standing, walking, running, stair climbing, and cycling - and then re-trained using self-training on free-living data (n = 53, independent to the laboratory study sample). The final models were validated using another hold-out free-living independent dataset (n = 53) with ground-truth activity labels obtained via direct video observation. Overall model comparison and performance was assessed using accuracy, kappa statistic, and F1 scores. Individual activity class comparison and performance was evaluated using equivalence testing, confusion matrices, and coefficient of variation between the wrist and thigh estimates.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;During a total of 43,800 min, of which 19,080 min were in the hold-out dataset, both self-trained models achieved high overall classification accuracy: 91.8% (SD = 6.8%) for the wrist and 95.1% (SD = 5.4%) for the thigh. The overall F1 score was 88.2 (SD = 9.6%) for the wrist classifier and 90.1 (SD = 9.3%) for the thigh classifier. Equivalence testing demonstrated that both classifiers produced activity duration estimates statistically equivalent to ground-truth for all activity types except stair climbing. Confusion matrices for the wrist demonstrated very good to excellent (88% - 97%) classification accuracy for sitting, walking, running, and cycling, and good accuracy for standing and stair climbing (71%-78%). For the thigh, classification performance was very good to excellent (83% - 98%) across sitting, standing, walking, running, and cycling, with good accuracy for stair climbing (75%). The coefficient of variation values","PeriodicalId":50336,"journal":{"name":"International Journal of Behavioral Nutrition and Physical Activity","volume":"23 1","pages":""},"PeriodicalIF":7.1,"publicationDate":"2026-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13326117/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148377690","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}
引用次数: 0
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International Journal of Behavioral Nutrition and Physical Activity
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