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What Health Care Organizations Have Learned From Telecommunication Outages. 医疗机构从电信中断中学到了什么?
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-03 DOI: 10.2196/91456
Catharine Solomon
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引用次数: 0
Engagement With Meditation Apps: Cross-Sectional Survey of Use and Associations. 参与冥想应用程序:使用和关联的横断面调查。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-02 DOI: 10.2196/71960
Julia Adams, Jonathan Davies, Prai Wattanatakulchat, Julieta Galante, Felicity Miller, Simon D'Alfonso, Nicholas T Van Dam
<p><strong>Background: </strong>Meditation apps are increasingly popular, yet there is limited understanding of how much users actually engage with them. While meditation apps show promise for supporting mental health, engagement in real-world settings appears to be notably low. The patterns of app use and the factors that influence usage remain relatively unclear.</p><p><strong>Objective: </strong>This study aims to examine the extent of meditation app use and the factors associated with user engagement.</p><p><strong>Methods: </strong>We conducted a cross-sectional survey of 536 recent meditation app users across 5 English-speaking countries. Engagement data were collected via self-report and app-verified screenshots. Assessed factors included user characteristics (age, education, income, sex, country, personality, self-efficacy, readiness and expectations for change, self-compassion, and quality of life), mental health (distress, well-being, life satisfaction, anxiety, depression, support, and stress), and app-related elements (therapeutic alliance, appeal, functionality, aesthetics, information, quality, and perceived impact). The 4 outcome variables representing engagement were app-verified minutes, self-reported minutes, app-verified minutes per year (adjusted for app download date), and self-reported minutes per year (adjusted for app download date). Associations between app use and variables of interest were examined using correlations. Factors with significant associations were then included in multivariable regression models to identify those most strongly associated with engagement.</p><p><strong>Results: </strong>Age (ρ=0.13-0.15, PP<sup>FDR</sup>, where FDR is false discovery rate), expectations for sleep (ρ=0.12-0.33, P<sup>FDR</sup><.05), and expectations for thriving (ρ=0.12-0.18, P<sup>FDR</sup><.05) were associated with all outcome measures except adjusted objective minutes. Readiness to change was associated with all outcome measures (ρ=0.24-0.33, P<sup>FDR</sup><.05). Among app factors, appeal (ρ=0.18-0.23, P<sup>FDR</sup><.05) and perceived impact (ρ=0.23-0.32, P<sup>FDR</sup><.05) were associated with all outcome measures except adjusted self-report minutes, while perceived quality (r=0.28-0.51, P<sup>FDR</sup><.05) was associated with all outcome measures. Robust linear regressions showed that greater readiness to change (β=0.005-0.026, P=.006-.02), higher education level (β=0.029-0.540, P<.001), and higher openness (β=0.004-0.010, P=.008-.03) were associated with increased engagement. Additionally, greater expectations for sleep (β=0.004-0.009, P=.02-.04), greater expectation match (β=0.023, P=.03), and higher perceived app quality (β=0.008-0.042, P=.001-.01) were uniquely associated with increased engagement.</p><p><strong>Conclusions: </strong>Most individuals who download meditation apps engage minimally. Our findings suggest that users who are more educated, open to new experiences, and hold strong beliefs in the effec
背景:冥想应用程序越来越受欢迎,但人们对用户实际参与程度的了解有限。虽然冥想应用显示出支持心理健康的希望,但在现实环境中的参与度似乎很低。应用程序的使用模式和影响使用的因素仍然相对不清楚。目的:本研究旨在研究冥想应用程序的使用程度以及与用户参与度相关的因素。方法:我们对5个英语国家的536名最近使用冥想应用程序的用户进行了横断面调查。用户粘性数据通过自我报告和应用程序验证的截图收集。评估的因素包括用户特征(年龄、教育程度、收入、性别、国家、个性、自我效能、对改变的准备和期望、自我同情和生活质量)、心理健康(痛苦、幸福、生活满意度、焦虑、抑郁、支持和压力)以及与应用程序相关的元素(治疗联盟、吸引力、功能、美学、信息、质量和感知影响)。代表用户粘性的4个结果变量是应用验证分钟、自我报告分钟、每年应用验证分钟(根据应用下载日期调整)和每年自我报告分钟(根据应用下载日期调整)。应用程序使用和感兴趣的变量之间的关联使用相关性进行检验。然后将具有显著关联的因素纳入多变量回归模型,以确定与敬业度相关性最强的因素。结果:年龄(ρ= 0.13 - -0.15,PPFDR罗斯福错误发现率),预期睡眠(ρ= 0.12 - -0.33,PFDRFDRFDRFDRFDRFDRConclusions:下载冥想程序进行最低限度的个人。我们的研究结果表明,受教育程度更高、乐于接受新体验、对冥想应用的有效性抱有强烈信念的用户更有可能经常使用它们。需要进行纵向研究以检查使用模式并加强因果推论。
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引用次数: 0
Effects of an 8-Week App-Based Mindfulness Intervention on Mental Health in Working Women: Randomized Controlled Trial. 基于app的8周正念干预对职业女性心理健康的影响:随机对照试验
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-02 DOI: 10.2196/62814
Riko Uwagawa, Koichiro Adachi, Mariko Shimoda, Ryu Takizawa

Background: Although working women experience increased work-related stress, preventive interventions to reduce its negative effects on their mental health are insufficient.

Objective: This study evaluated the effectiveness of an 8-week mindfulness-based self-help intervention via a smartphone app across 4 domains (general psychological, work-related, family-related, and work-to-conflict) among working women.

Methods: This study recruited women workers via various media sources, such as crowdsourcing sites and social networking services. Participants were randomly assigned to the intervention (n=106) or waitlist control groups (n=107). Participants in the intervention group practiced guided mindfulness meditation every day at their convenience via an app on their cell phones for 8 weeks. The app provides an 8-week program with 4 meditation contents per 2 weeks. Participants in the waitlist control group lived as usual for 8 weeks. We conducted web-based questionnaires to assess participants' general psychological (life satisfaction, perceived stress, depressive and anxiety symptoms, trait anger, and mindfulness), work-related (work performance, job satisfaction, quantitative job overload, and job control), family-related (family satisfaction and partner satisfaction), and work-to-family conflict indicators.

Results: An analysis of covariance, controlled for preintervention scores, revealed that the intervention significantly increased life satisfaction (b=1.47, β=0.11; P=.005) and decreased perceived stress (b=-2.00, β=-0.17; P=.01), depressive and anxiety symptoms (b=-1.24, β=-0.15; P=.02), and trait anger (reaction; b=-0.59, β=-0.11; P=.04). The intervention group demonstrated significantly increased life satisfaction (t93=-3.36; P=.001) and decreased depressive and anxiety symptoms (t93=2.35; P=.02).

Conclusions: The app was effective in reducing perceived stress, depressive and anxiety symptoms, and trait anger (reaction), and in improving life satisfaction among working women. However, to improve work- and family-related indicators, higher-intensity interventions may be required, such as modifying the intervention content or extending its duration.

Trial registration: University Hospital Medical Information Network Clinical Trials Registry (UMIN-CTR) UMIN000051796; https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000059110.

背景:虽然职业妇女的工作压力增加,但减少其对其心理健康的负面影响的预防性干预措施是不够的。目的:本研究通过智能手机应用程序评估了一项为期8周的基于正念的自助干预在职业女性中四个领域(一般心理、工作相关、家庭相关和工作冲突)的有效性。方法:本研究通过众包网站、社交网络服务等多种媒体渠道招募女工。参与者被随机分配到干预组(n=106)或候补对照组(n=107)。干预组的参与者在8周的时间里,每天都可以通过手机上的应用程序进行指导性正念冥想。该应用程序提供了一个为期8周的项目,每两周有4个冥想内容。等候名单控制组的参与者像往常一样生活了8周。我们采用基于网络的问卷来评估参与者的一般心理指标(生活满意度、感知压力、抑郁和焦虑症状、特质性愤怒和正念)、工作相关指标(工作绩效、工作满意度、定量工作过载和工作控制)、家庭相关指标(家庭满意度和伴侣满意度)以及工作与家庭冲突指标。结果:在控制干预前评分的协方差分析中,干预显著提高了生活满意度(b=1.47, β=0.11, P= 0.005),降低了感知压力(b=-2.00, β=-0.17, P= 0.01)、抑郁和焦虑症状(b=-1.24, β=-0.15, P= 0.02)和特质性愤怒(反应;b=-0.59, β=-0.11, P= 0.04)。干预组患者生活满意度显著提高(t93=-3.36; P=.001),抑郁、焦虑症状显著减轻(t93=2.35; P=.02)。结论:该应用程序在减轻职业女性的感知压力、抑郁和焦虑症状以及特质愤怒(反应)方面有效,并提高了职业女性的生活满意度。然而,为了改善与工作和家庭有关的指标,可能需要更高强度的干预措施,例如修改干预内容或延长干预时间。试验注册:大学医院医学信息网络临床试验注册中心(UMIN-CTR) UMIN000051796;https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000059110。
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引用次数: 0
Traditional Rehabilitation Experiences, Unmet Needs, and Perspectives on Virtual Reality-Based Rehabilitation Among Patients With Stroke in China: Qualitative Thematic Analysis and Semistructured Interview Study. 中国脑卒中患者传统康复经验、未满足需求和基于虚拟现实的康复前景:定性主题分析和半结构化访谈研究
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-02 DOI: 10.2196/84532
Xite Zheng, Lu Xing, Haitao Lu, Shimeng Hao, Fen Liu
<p><strong>Background: </strong>Traditional stroke rehabilitation is facing challenges, and virtual reality (VR)-based rehabilitation is a promising solution. However, results from studies focusing on VR-based stroke rehabilitation remain inconsistent, largely due to the use of noncustomized interventions in previous trials.</p><p><strong>Objective: </strong>To enhance rehabilitation services and inform the development of patient-centered VR rehabilitation systems, this study aimed to (1) explore the experiences and unmet needs of survivors of stroke during current hospital rehabilitation, and (2) examine their perspectives on the use of VR technology in poststroke rehabilitation.</p><p><strong>Methods: </strong>We conducted a qualitative thematic analysis based on descriptive phenomenology between January and July 2025 at the China Rehabilitation Research Center. Adult patients with a clinical diagnosis of stroke within the past 18 months were eligible. A total of 21 survivors of stroke (mean age, 52.7, SD 17.3 y; men, n=17) were included. Data were collected through face-to-face semistructured interviews, complemented by a short questionnaire on sociodemographic, clinical, and technology-use characteristics. All interviews were audio-recorded, transcribed verbatim, and analyzed using a thematic approach, with thematic saturation used to determine the sample size.</p><p><strong>Results: </strong>After a stroke, patients experience significant physical and psychological changes. On the one hand, the sudden loss of abilities alters their perceived roles within the family and society; on the other hand, the sharp contrast between their desire for recovery and their current recovery limitations creates substantial psychological pressure. Accepting their condition and rebuilding confidence is a long-term process. Traditional rehabilitation is commonly described as burdensome, monotonous, and lacking continuity after discharge. Although patients desire a better rehabilitation approach and improved outcomes, attitudes toward VR-based rehabilitation vary. Some view VR as a convenient tool, while others express no interest or perceived need for technology-based rehabilitation. Patients indicated that serious games should be diversified to meet different individual and training needs, and should incorporate clearer feedback mechanisms, appropriate scoring systems, adjustable difficulty levels, and progressive game chapters. Functional expectations for VR systems included family involvement, access to personal rehabilitation data, telerehabilitation support, safety monitoring, and technical support.</p><p><strong>Conclusions: </strong>Stroke rehabilitation services in China require improvement in the appeal of rehabilitation content, patient self-management, and continuity of care. Although patients desire better rehabilitation approaches and outcomes, the effective integration of VR technology must account for factors, such as personal characteristics and
背景:传统的脑卒中康复面临挑战,基于虚拟现实(VR)的康复是一种很有前景的解决方案。然而,基于vr的脑卒中康复研究的结果仍然不一致,这主要是由于以前的试验使用了非定制干预措施。目的:为了加强康复服务,为以患者为中心的VR康复系统的发展提供信息,本研究旨在(1)探讨卒中幸存者在当前医院康复中的经验和未满足的需求,(2)探讨他们对VR技术在卒中后康复中的应用的看法。方法:采用描述现象学方法对中国康复研究中心2025年1 - 7月患者进行定性专题分析。在过去18个月内临床诊断为中风的成年患者符合条件。共纳入21例脑卒中幸存者(平均年龄52.7岁,SD 17.3 y;男性,n=17)。通过面对面的半结构化访谈收集数据,并辅以关于社会人口统计、临床和技术使用特征的简短问卷。所有访谈都被录音,逐字记录,并使用主题方法进行分析,主题饱和度用于确定样本量。结果:中风后,患者经历了显著的生理和心理变化。一方面,能力的突然丧失改变了他们在家庭和社会中的角色认知;另一方面,他们恢复的愿望和目前恢复的限制之间的鲜明对比造成了巨大的心理压力。接受他们的处境并重建信心是一个长期的过程。传统的康复通常被描述为负担,单调,出院后缺乏连续性。尽管患者渴望更好的康复方法和改善的结果,但对基于vr的康复的态度各不相同。一些人认为VR是一种方便的工具,而另一些人则对基于技术的康复不感兴趣或认为没有必要。患者表示,严肃游戏应该多样化,以满足不同的个人和训练需求,并应纳入更清晰的反馈机制、适当的评分系统、可调整的难度水平和渐进式游戏章节。对虚拟现实系统的功能期望包括家庭参与、个人康复数据访问、远程康复支持、安全监测和技术支持。结论:中国脑卒中康复服务需要在康复内容的吸引力、患者自我管理和护理的连续性方面得到改善。尽管患者渴望更好的康复方法和结果,但VR技术的有效整合必须考虑个人特征和偏好以及社会经济地位等因素。与以往主要考察数字技术用户体验或比较康复结果的研究不同,我们的研究通过将传统康复中的挑战和患者需求与未来VR康复设计的具体方向联系起来,为文献做出了贡献。这些见解加深了目前对VR技术如何有意义地整合到卒中治疗中的理解,并为开发以患者为中心和文化响应的VR解决方案提供了路线图。
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引用次数: 0
Digital Health for Rare Diseases: A Scoping Review of Artificial Intelligence, Connected Care, and Enabling Digital Technologies for Lysosomal Storage Disorders. 罕见疾病的数字健康:对溶酶体储存疾病的人工智能,连接护理和使能数字技术的范围审查。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-02 DOI: 10.2196/73612
Alberta M C Spreafico, Luca Neri, Kim Angel, Cinzia Maria Bellettato, Maurizio Scarpa
<p><strong>Background: </strong>Rare diseases (RDs) affect over 300 million people globally, and only about 5% have approved therapies. Lysosomal storage disorders (LSDs) exemplify the diagnostic and long-term care complexity typical of RDs, and digital health technologies (DHTs), especially artificial intelligence (AI) and connected care (CC), are increasingly reported as tools to support LSD management.</p><p><strong>Objective: </strong>This scoping review maps and synthesizes peer-reviewed and grey literature from the past decade on DHTs relevant for LSD care, with a primary analytic focus on AI-enabled and CC solutions, and a contextual mapping of other enabling DHTs. Evidence distribution is charted by population, care-journey phase, and outcome domains to identify gaps, methodological limitations, and timely priorities relevant for research, clinical practice implementation, and policies.</p><p><strong>Methods: </strong>We conducted a scoping review guided by a Population-Concept-Context (PCC) framework and operationalised through a PICO-informed data-charting structure to map study characteristics and reported outcomes, without causal or effectiveness assumptions and without risk-of-bias assessment. We searched PubMed/MEDLINE, Google Scholar, and ClinicalTrials.gov for studies published between October 2015 and September 2024, complemented by AI-assisted discovery tools (Consensus, SciSpace, Connected Papers) for citation extension. Reproducibility logs (search strings, run dates, filters, and stepwise counts) were maintained. Of 1,751 records retrieved, 245 were included. Evidence was charted by LSD population, intervention class (artificial intelligence, connected care, and other enabling digital health technologies), outcome domains (patient, healthcare, societal), and phase of the care journey.</p><p><strong>Results: </strong>Amongst 245 included records, 92.2% were peer-reviewed and 7.8% were grey literature; no completed and published randomized controlled trials or LSD-specific systematic reviews were identified, with evidence dominated by small, single-center observational studies. 40 peer-reviewed records reported AI-driven DHTs, 89 reported CC DHTs, and 144 reported other enabling DHTs (some multi-labeled). Evidence was concentrated mostly in Gaucher and Fabry diseases. Nearly half of the mapped literature focused on screening/diagnosis, with fewer records addressing treatment intensification, rehabilitation, and end-of-life care. Outcomes were predominantly healthcare-delivery performance measures, with fewer patient and societal outcomes. AI applications mainly supported diagnostic decision support, phenotyping, monitoring/progression tracking, and risk stratification; CC commonly involved telemedicine, remote monitoring, and patient-engagement platforms; enabling DHTs included interoperable data systems, registries, and digital infrastructures.</p><p><strong>Conclusions: </strong>The evidence base is appreciable for a niche fi
背景:全球有超过3亿人患有罕见病,但仅有约5%的罕见病疗法获得批准。溶酶体贮积症(LSD)体现了典型的rd诊断和长期护理的复杂性,而数字卫生技术(dht),特别是人工智能(AI)和互联护理(CC),越来越多地被报道为支持LSD管理的工具。目的:本范围综述绘制并综合了过去十年中与LSD治疗相关的dht的同行评审和灰色文献,主要分析重点是人工智能和CC解决方案,以及其他启用dht的上下文映射。证据分布按人口、护理旅程阶段和结果领域绘制图表,以确定差距、方法局限性以及与研究、临床实践实施和政策相关的及时优先事项。方法:我们在人口-概念-背景(PCC)框架的指导下进行了范围审查,并通过pico知情的数据图表结构进行了操作,以绘制研究特征和报告的结果,没有因果或有效性假设,也没有偏见风险评估。我们检索了PubMed/MEDLINE、b谷歌Scholar和ClinicalTrials.gov,检索了2015年10月至2024年9月间发表的研究,并辅以人工智能辅助发现工具(Consensus、SciSpace、Connected Papers)进行引文扩展。维护再现性日志(搜索字符串、运行日期、过滤器和逐步计数)。在检索到的1,751条记录中,包括245条。证据按LSD人群、干预类别(人工智能、互联护理和其他支持性数字健康技术)、结果领域(患者、医疗保健、社会)和护理旅程阶段绘制图表。结果:纳入的245篇文献中,92.2%为同行评议文献,7.8%为灰色文献;没有完成和发表的随机对照试验或lsd特异性系统评价,证据主要是小型单中心观察性研究。40份同行评议记录报告了人工智能驱动的dht, 89份报告了CC dht, 144份报告了其他启用dht(一些多标签)。证据主要集中在戈谢病和法布里病。近一半的地图文献集中于筛查/诊断,较少的记录涉及治疗强化,康复和临终关怀。结果主要是医疗保健服务的绩效指标,患者和社会结果较少。人工智能应用主要支持诊断决策支持、表型分析、监测/进展跟踪和风险分层;CC通常涉及远程医疗、远程监测和患者参与平台;启用dht包括可互操作的数据系统、注册表和数字基础设施。结论:证据基础在一个利基领域是可观的,反映了人们对AI和CC用于LSD治疗的兴趣日益增长,但异质性和方法局限性排除了对有效性或常规实施的推断。该证据图突出了相对较强的领域和明确的差距,为随后的专家共识建立和研究优先事项确定提供了结构化的基础。关键优先事项包括可互操作的数据基础设施和数据可用性、前瞻性多中心评估、算法和工作流程的透明报告,以及与实施相关的成果,以支持安全、公平和可扩展的采用,与不断变化的欧盟和全球罕见疾病优先事项保持一致。
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引用次数: 0
Barriers to Digital Health Adoption in Older Adults: Scoping Review Informed by Innovation Resistance Theory. 老年人采用数字健康的障碍:由创新阻力理论提供的范围审查。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-02 DOI: 10.2196/75591
Yosefa Birati, Roy Tzemah-Shahar
<p><strong>Background: </strong>The transformation of digital health technologies has reshaped health care delivery in primary care. Despite these benefits, older adults remain among the most resistant users. Traditional technology adoption models may not fully capture this reluctance, which is shaped not only by usability challenges but also by emotional, psychological, and identity-related concerns. Innovation resistance theory (IRT) offers a complementary framework focused on barriers to adoption rather than solely on facilitators.</p><p><strong>Objective: </strong>This study aims to map and synthesize evidence on older adults' resistance to digital health in primary care through the lens of IRT, and to examine how resistance factors align with, extend, or refine IRT's functional and psychological barriers.</p><p><strong>Methods: </strong>A scoping review with concept-driven thematic synthesis was conducted. A search for studies published between 2014 and 2025 was conducted across 5 databases: PubMed, CINAHL, Ovid Medline, Web of Science, and Scopus; the final search was completed in November 2025. Eligible studies were those that examined barriers or resistance to digital health use among adults aged 60 years and older in primary care settings. Search terms included "older adults," "digital health/eHealth," and "technology resistance." We excluded studies outside primary care and in which caregivers or health care professionals were the primary users. Data were extracted into a structured matrix and coded to the IRT domains: usage, value, risk, tradition, and image barriers. Relational integration was used to examine co-occurrence and linkages among barriers to inform the conceptual model.</p><p><strong>Results: </strong>Seventeen studies were included, comprising 6822 participants (sample sizes ranged from 11 to 4525). Most studies were conducted in high-income Western countries, predominantly with qualitative designs, alongside mixed-methods and cross-sectional surveys. Functional barriers included usability challenges, interface complexity, and age-related impairments. Psychological resistance was linked to emotional discomfort, symbolic misalignment, and concerns about the loss of relational care. Value and risk concerns included distrust in diagnostic accuracy, privacy and data security, and skepticism about care quality. Traditional preferences for face-to-face interactions and generational digital divides reinforced image-based resistance. Interactions between barriers were identified, with low self-efficacy and technology anxiety creating feedback loops that reinforce avoidance behaviors.</p><p><strong>Conclusions: </strong>Older adults' resistance to digital health is not simply a lack of adoption but a complex, emotionally grounded process involving functional, psychological, and identity-based barriers. This review applies IRT to primary care digital health, shifting the focus from adoption facilitators to resistance mechanisms and
背景:数字卫生技术的转型重塑了初级保健的卫生保健服务。尽管有这些好处,老年人仍然是最抗拒的使用者。传统的技术采用模型可能无法完全捕捉到这种不情愿,这种不情愿不仅受到可用性挑战的影响,还受到情感、心理和身份相关问题的影响。创新阻力理论(IRT)提供了一个补充框架,重点关注采用的障碍,而不仅仅是促进因素。目的:本研究旨在通过IRT的视角绘制和综合老年人对初级保健中数字健康的抵制证据,并研究抵制因素如何与IRT的功能和心理障碍相结合、扩展或完善。方法:采用概念驱动的主题综合方法进行范围综述。对2014年至2025年间发表的研究进行了5个数据库的搜索:PubMed、CINAHL、Ovid Medline、Web of Science和Scopus;最后一次搜寻于2025年11月完成。合格的研究是那些调查初级保健机构中60岁及以上成年人使用数字健康的障碍或阻力的研究。搜索词包括“老年人”、“数字健康/电子健康”和“技术阻力”。我们排除了初级保健以外的研究,其中护理人员或卫生保健专业人员是主要使用者。数据被提取到一个结构化的矩阵中,并编码到IRT域:使用、价值、风险、传统和图像障碍。关系整合用于检查障碍之间的共现性和联系,以告知概念模型。结果:纳入17项研究,包括6822名参与者(样本量从11到4525不等)。大多数研究在高收入的西方国家进行,主要采用定性设计,同时采用混合方法和横断面调查。功能障碍包括可用性挑战、界面复杂性和与年龄相关的障碍。心理上的抗拒与情感上的不适、象征上的错位以及对失去关系关怀的担忧有关。对价值和风险的担忧包括对诊断准确性、隐私和数据安全性的不信任,以及对护理质量的怀疑。对面对面交流的传统偏好和代际数字鸿沟强化了基于图像的抵制。障碍之间的相互作用被确定,低自我效能感和技术焦虑创造了强化回避行为的反馈循环。结论:老年人对数字健康的抵制不仅仅是缺乏接受,而是一个复杂的、情感基础的过程,涉及功能、心理和身份障碍。本综述将IRT应用于初级保健数字健康,将重点从采用促进因素转移到抵抗机制,并将共发生模式整合到概念模型中。综合研究揭示了可用性、自我效能、焦虑、信任和合法性等相互作用的因素,这些因素加强了回避,这表明实施策略应超越技术可用性,重建信任,保持关系关怀,并使数字解决方案与老年人的价值观保持一致。综述的局限性包括以西方为基础的研究占主导地位,以及关于耐药性如何演变的有限纵向数据。
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引用次数: 0
Changing Habits With the Happy Hands App: Qualitative Focus Group Study of a Hand Osteoarthritis Self-Management Intervention. 用快乐双手App改变习惯:手骨关节炎自我管理干预的定性焦点小组研究。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-02-02 DOI: 10.2196/82773
Kristine Aasness Fjeldstad, Anne Therese Tveter, Eivor Rasmussen, Lena Olden, Sissel Nyheim, Thalita Blanck, Rikke Munk Killingmo, Ingvild Kjeken
<p><strong>Background: </strong>People with hand osteoarthritis represent a large patient group with limited access to recommended treatment. In recent years, there has been a notable shift in health care delivery, with increased use of digital technologies. The Happy Hands app (The University Information Technology Center [USIT]) is a digital self-management intervention developed to provide evidence-based treatment for people with hand osteoarthritis, with the goal of empowering them to self-manage their disease. Participants' experiences and perceptions of using this digital intervention are crucial for the adoption and continued use of the Happy Hands app.</p><p><strong>Objective: </strong>The objective of this qualitative study was to explore participants' experience with using the Happy Hands app, focusing on whether and how it empowered them to self-manage their hand osteoarthritis.</p><p><strong>Methods: </strong>The study is embedded within a randomized controlled trial (RCT). The participants were recruited from the intervention group in the RCT, who got access to the Happy Hands app. The 12-week self-management intervention included a hand exercise program and informational videos about hand osteoarthritis. Focus groups were conducted in various geographical areas in Norway. The focus groups were transcribed verbatim, coded, and analyzed inductively using reflexive thematic analysis.</p><p><strong>Results: </strong>Seven focus groups, with a total of 26 participants, were recruited from both specialist and primary health care. The mean age was 67 years. Three themes were developed from the analysis. The first theme, "Being acknowledged," highlights the essential role of recognition for people with hand osteoarthritis. It suggests that the Happy Hands app provided participants with a sense of validation and support. The second theme, "Changed perception of hand osteoarthritis," indicates that participants gained insights and knowledge about their condition. This new understanding empowered them to make more informed decisions about their care, fostering a sense of hope and motivation by demonstrating that effective measures are available to manage the disease. The third theme, "Changing habits with the Happy Hands app," describes how participants developed new habits after using the self-management intervention delivered through the app. The exercise program was experienced as motivating, flexible, well-structured, and committing. Some challenges were reported, including experiencing pain during or after exercising. The new habits included performing hand exercises and implementing ergonomic working methods, which were tailored to meet the individual needs and integrated into the participants' daily lives and routines.</p><p><strong>Conclusions: </strong>The findings suggest that the Happy Hands app is a valuable tool for supporting people with hand osteoarthritis in managing their disease by helping them integrate hand osteoarthritis m
背景:手骨关节炎患者是一个很大的患者群体,获得推荐治疗的机会有限。近年来,随着数字技术的使用增加,医疗保健服务发生了显著变化。“快乐之手”应用程序(美国大学信息技术中心[USIT])是一种数字化自我管理干预手段,旨在为手部骨关节炎患者提供循证治疗,使他们能够自我管理疾病。参与者使用这种数字干预的体验和感知对于采用和持续使用Happy Hands应用程序至关重要。目的:本定性研究的目的是探索参与者使用Happy Hands应用程序的体验,重点是它是否以及如何使他们能够自我管理他们的手骨关节炎。方法:本研究采用随机对照试验(RCT)。参与者是从随机对照试验的干预组中招募的,他们可以使用Happy Hands应用程序。为期12周的自我管理干预包括手部锻炼计划和有关手部骨关节炎的信息视频。在挪威的不同地理区域进行了焦点小组讨论。对焦点小组进行逐字转录、编码,并使用反身性主题分析进行归纳分析。结果:从专科和初级卫生保健部门招募了7个焦点小组,共有26名参与者。平均年龄为67岁。从分析中发展出三个主题。第一个主题是“被承认”,强调了识别对手部骨关节炎患者的重要作用。这表明,“快乐之手”应用程序为参与者提供了一种认可和支持感。第二个主题是“改变对手部骨关节炎的认知”,这表明参与者对自己的病情有了更深入的了解。这种新的认识使他们能够对自己的护理做出更明智的决定,通过表明可以采取有效措施来控制这种疾病,从而培养了一种希望和动力。第三个主题是“用Happy Hands应用程序改变习惯”,描述了参与者在使用应用程序提供的自我管理干预后如何养成新习惯。锻炼计划被认为是激励、灵活、结构良好和承诺的。报告了一些挑战,包括在运动期间或之后感到疼痛。新的习惯包括进行手部练习和实施符合人体工程学的工作方法,这些都是为满足个人需求而量身定制的,并融入了参与者的日常生活和日常活动。结论:研究结果表明,Happy Hands应用程序是一个有价值的工具,可以帮助患有手骨关节炎的人管理他们的疾病,帮助他们将手骨关节炎管理融入日常生活。试验注册:ClinicalTrials.gov NCT05568875;https://clinicaltrials.gov/study/NCT05568875。
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引用次数: 0
The Structure of Psychopathology on Reddit: Network Analysis of Mental Health Communities in Relation to the ICD Diagnostic System. Reddit上的精神病理学结构:与ICD诊断系统相关的心理健康社区的网络分析。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-01-30 DOI: 10.2196/80958
Bojan Evkoski, Srebrenka Letina, Petra Kralj Novak
<p><strong>Background: </strong>Social media platforms such as Reddit have become important spaces where individuals articulate their distress, seek support, and explore alternative ways of understanding mental health outside traditional institutional frameworks. These environments provide an opportunity to examine mental health discourse at scale, offering perspectives that extend beyond traditional clinical and research settings.</p><p><strong>Objective: </strong>This study aims to examine the structure of mental health communities on Reddit by identifying patterns of association between mental disorders reflected in user activity and assessing how these relationships align with established diagnostic categories in the ICD (International Classification of Diseases).</p><p><strong>Methods: </strong>We manually curated 114 Reddit communities focused on specific mental health conditions from the 20,000 most active subreddits in 2022. Each community was labeled into 49 disorders and categorized under 9 ICD diagnostic categories within the group of mental and behavioral disorders, collectively known as the F codes. We constructed a disorder association network by identifying statistically significant user overlaps based on coposting across subreddit pairs using a bipartite configuration model, with Bonferroni-corrected significance (P<.001). We analyzed the connectivity of the network within and across diagnostic categories, examining inter- and intracategory links. Finally, we compared the structure of disorder associations inferred from Reddit with the ICD classification derived from diagnostic criteria using hierarchical clustering.</p><p><strong>Results: </strong>The inferred Reddit network of psychopathology revealed an interconnected structure (density=0.135), with all but 6 disorders forming a single giant component that spans across all 9 diagnostic categories. The most prominent disorders by number of users included hyperkinetic disorders (85,000), depressive episodes and recurrent depressive disorders (73,000), habit and impulse disorders (69,000), pervasive developmental disorders (52,000), and generalized anxiety disorder (44,000). In terms of connectivity, posttraumatic stress disorder (17/48 of all possible connections), obsessive-compulsive disorder (16/48), and depersonalization-derealization disorder (15/48) emerged as the most central in the network of positive disorder associations, while schizotypal disorder, avoidant personality disorder, and agoraphobia were the most central when accounting for the association strength. At the level of disorder categories, several disorders, such as bipolar disorder and premenstrual dysphoric disorder, displayed high intercategory associations but weak intracategory ties, indicating blurred diagnostic boundaries. The network of negative coposting associations revealed a divergence from the expectations of past research; for instance, addiction-related communities (eg, alcohol and opioids) were
背景:Reddit等社交媒体平台已经成为个人表达痛苦、寻求支持和探索传统制度框架之外理解心理健康的替代方式的重要空间。这些环境为大规模检查心理健康话语提供了机会,提供了超越传统临床和研究环境的视角。目的:本研究旨在通过识别用户活动中反映的精神障碍之间的关联模式,并评估这些关系如何与ICD(国际疾病分类)中已建立的诊断类别相一致,来检查Reddit上心理健康社区的结构。方法:我们从2022年最活跃的2万个红迪网上手动挑选了114个关注特定心理健康状况的红迪网上社区。每个社区被标记为49种疾病,并在精神和行为障碍组内的9种ICD诊断类别下进行分类,统称为F代码。我们构建了一个障碍关联网络,通过使用二部配置模型识别统计上显著的用户重叠,基于跨子Reddit对的共同成本,具有bonferroni校正的显著性(结果:推断的精神病理学Reddit网络显示了一个相互关联的结构(密度=0.135),除了6种障碍外,所有障碍形成了一个跨越所有9种诊断类别的单一巨大组件。按使用者数量计算,最突出的疾病包括多动障碍(85,000)、抑郁发作和复发性抑郁症(73,000)、习惯和冲动障碍(69,000)、广泛性发育障碍(52,000)和广泛性焦虑症(44,000)。就连通性而言,创伤后应激障碍(17/48)、强迫症(16/48)和去人格化-现现感障碍(15/48)是积极障碍关联网络中最核心的,而在关联强度方面,分裂型障碍、回避型人格障碍和广场恐怖症是最核心的。在障碍类别的水平上,一些障碍,如双相情感障碍和经前烦躁障碍,显示出高的类别间关联,但弱的类别内联系,表明模糊的诊断界限。负面共同成本关联网络揭示了与过去研究预期的分歧;例如,与成瘾有关的社区(如酒精和阿片类药物)与许多更广泛的精神卫生论述呈负相关。最后,层次比较显示,在疾病关联的Reddit网络和诊断标准的ICD网络之间,无论是在成对边缘相似性(两个网络中都存在13%的边缘)和总体聚类(调整后的兰德指数=0.295)方面,都存在适度的重叠。结论:基于reddit的心理健康社区揭示了由生活经验形成的障碍关联的互补结构,通常偏离正式的诊断标准,并表现出与已建立的诊断界限不一致的关联模式。
{"title":"The Structure of Psychopathology on Reddit: Network Analysis of Mental Health Communities in Relation to the ICD Diagnostic System.","authors":"Bojan Evkoski, Srebrenka Letina, Petra Kralj Novak","doi":"10.2196/80958","DOIUrl":"https://doi.org/10.2196/80958","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Social media platforms such as Reddit have become important spaces where individuals articulate their distress, seek support, and explore alternative ways of understanding mental health outside traditional institutional frameworks. These environments provide an opportunity to examine mental health discourse at scale, offering perspectives that extend beyond traditional clinical and research settings.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aims to examine the structure of mental health communities on Reddit by identifying patterns of association between mental disorders reflected in user activity and assessing how these relationships align with established diagnostic categories in the ICD (International Classification of Diseases).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;We manually curated 114 Reddit communities focused on specific mental health conditions from the 20,000 most active subreddits in 2022. Each community was labeled into 49 disorders and categorized under 9 ICD diagnostic categories within the group of mental and behavioral disorders, collectively known as the F codes. We constructed a disorder association network by identifying statistically significant user overlaps based on coposting across subreddit pairs using a bipartite configuration model, with Bonferroni-corrected significance (P&lt;.001). We analyzed the connectivity of the network within and across diagnostic categories, examining inter- and intracategory links. Finally, we compared the structure of disorder associations inferred from Reddit with the ICD classification derived from diagnostic criteria using hierarchical clustering.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The inferred Reddit network of psychopathology revealed an interconnected structure (density=0.135), with all but 6 disorders forming a single giant component that spans across all 9 diagnostic categories. The most prominent disorders by number of users included hyperkinetic disorders (85,000), depressive episodes and recurrent depressive disorders (73,000), habit and impulse disorders (69,000), pervasive developmental disorders (52,000), and generalized anxiety disorder (44,000). In terms of connectivity, posttraumatic stress disorder (17/48 of all possible connections), obsessive-compulsive disorder (16/48), and depersonalization-derealization disorder (15/48) emerged as the most central in the network of positive disorder associations, while schizotypal disorder, avoidant personality disorder, and agoraphobia were the most central when accounting for the association strength. At the level of disorder categories, several disorders, such as bipolar disorder and premenstrual dysphoric disorder, displayed high intercategory associations but weak intracategory ties, indicating blurred diagnostic boundaries. The network of negative coposting associations revealed a divergence from the expectations of past research; for instance, addiction-related communities (eg, alcohol and opioids) were ","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"28 ","pages":"e80958"},"PeriodicalIF":6.0,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146093427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Website Use and Associations With Behavior Change and Weight Loss in Cancer Survivors and Their Partners: Secondary Analysis of a Randomized Controlled Trial. 癌症幸存者及其伴侣使用网站与行为改变和体重减轻的关系:一项随机对照试验的二次分析。
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-01-30 DOI: 10.2196/86908
Harleen Kaur, Dori Pekmezi, Tracy E Crane, David Farrell, Laura Q Rogers, Wendy Demark-Wahnefried
<p><strong>Background: </strong>Web-based lifestyle interventions to promote healthy diet and physical activity among cancer survivors and their partners are recent developments; therefore, few studies have reported patterns of website use or associations with behavior change.</p><p><strong>Objective: </strong>The primary aim was to describe website use in the DUET (Daughters, Dudes, Mothers, and Others Together) trial and examine the associations between website use and changes in diet quality, moderate to vigorous physical activity (MVPA), and body weight.</p><p><strong>Methods: </strong>This secondary analysis used data from 28 survivor-partner dyads (BMI ≥25 kg/m<sup>2</sup>) randomized to the 6-month DUET web-based weight loss intervention, which released weekly e-learning sessions on diet and exercise. Website use was quantified as weeks of access, time spent, and frequency of page views. Diet quality was assessed using 2-day dietary recalls; MVPA was measured by the Godin Leisure-Time Exercise Questionnaire and accelerometry. Weight was measured on a scale. Website use was summarized descriptively, and associations were examined using Spearman partial correlations.</p><p><strong>Results: </strong>Participants had a mean age of 58 (SD 12.5) years; 78.6% (44/56) identified as female, 66.1% (37/56) were non-Hispanic White, and 86% (24/28) were breast cancer survivors. On average, participants viewed 11.2 (SD 7.4) weeks of the 24-week intervention, or a total of 312.9 (SD 255.7) minutes per participant. Sessions (n=2736), Home Page (n=975), and Tools (n=967) features showed the highest activity (5885 total page views). Website use was higher among adults aged 65 years and older than younger participants, showcased by duration of use (mean 14.4, SD 7.4 weeks vs mean 9.2, SD 6.8 weeks; P=.009), time spent per week (mean 17.0, SD 9.7 minutes vs mean 10.5, SD 10.6 minutes; P=.01), and total number of page views (mean 135.7, SD 90 vs mean 85.3, SD 111.9; P=.008); higher website use was also reported among women versus men in terms of duration of use (mean 12.8, SD 7.1 weeks vs mean 5.6, SD 5.9 weeks; P=.003), time spent per week (mean 14.6, SD 10.3 minutes vs mean 7.4, SD 10.3 minutes; P=.02), and total number of page views (mean 120, SD 110.2 vs mean 50.3, SD 64.4; P=.01). Diet quality was positively associated with website use (weeks: r=0.50; P<.001; time: r=0.45; P<.001; total page views: r=0.46; P<.001; and sessions page views: r=0.39; P=.005). Self-reported MVPA was also positively associated with website use (weeks r=0.37; P=.007; time: r=0.36; P=.009; total page views: r=0.36; P=.01; and sessions page views: r=0.35; P=.01). No significant associations were detected for accelerometry-measured MVPA or weight.</p><p><strong>Conclusions: </strong>Cancer survivors and their partners engaged with the DUET web-based platform to support diet and physical activity (with use particularly high among older adults and females). However, larger, more dive
背景:在癌症幸存者及其伴侣中促进健康饮食和身体活动的基于网络的生活方式干预措施是最近的发展;因此,很少有研究报告网站使用模式或与行为改变的联系。目的:主要目的是描述DUET(女儿,丈夫,母亲和其他人一起)试验中的网站使用情况,并检查网站使用与饮食质量,中度至剧烈体育活动(MVPA)和体重变化之间的关系。方法:这项二级分析使用了28名幸存者伴侣二人组(BMI≥25 kg/m2)的数据,这些数据随机分配到为期6个月的基于网络的DUET减肥干预中,该干预每周发布关于饮食和运动的电子学习课程。网站使用被量化为访问的周数、花费的时间和页面浏览的频率。采用2天饮食回顾法评估饮食质量;采用Godin休闲运动问卷和加速度计测量MVPA。体重是用磅秤量的。对网站使用情况进行描述性总结,并使用斯皮尔曼偏相关性对关联进行检验。结果:参与者的平均年龄为58岁(SD 12.5);78.6%(44/56)为女性,66.1%(37/56)为非西班牙裔白人,86%(24/28)为乳腺癌幸存者。平均而言,参与者在24周的干预中观察了11.2周(SD 7.4),或者每个参与者总共观察了312.9分钟(SD 255.7)。会话(n=2736)、主页(n=975)和工具(n=967)功能的活跃度最高(总页面浏览量为5885)。65岁及以上成年人的网站使用率高于年轻参与者,这体现在使用时间(平均14.4周,SD 7.4周vs平均9.2周,SD 6.8周,P= 0.009),每周花费的时间(平均17.0,SD 9.7分钟vs平均10.5分钟,SD 10.6分钟,P= 0.01),以及总页面访问量(平均135.7,SD 90 vs平均85.3,SD 111.9, P= 0.008)。在使用时间(平均12.8,SD 7.1周vs平均5.6,SD 5.9周;P= 0.003)、每周使用时间(平均14.6,SD 10.3分钟vs平均7.4,SD 10.3分钟;P= 0.02)和总浏览量(平均120,SD 110.2 vs平均50.3,SD 64.4; P= 0.01)方面,女性比男性使用网站的时间更长。饮食质量与网站使用呈正相关(周:r=0.50; p结论:癌症幸存者及其伴侣使用DUET基于网络的平台来支持饮食和身体活动(老年人和女性的使用率特别高)。然而,需要更大规模、更多样化的基于网络的二元生活方式干预来证实这些发现。试验注册:ClinicalTrials.gov NCT04132219;https://clinicaltrials.gov/study/NCT04132219。
{"title":"Website Use and Associations With Behavior Change and Weight Loss in Cancer Survivors and Their Partners: Secondary Analysis of a Randomized Controlled Trial.","authors":"Harleen Kaur, Dori Pekmezi, Tracy E Crane, David Farrell, Laura Q Rogers, Wendy Demark-Wahnefried","doi":"10.2196/86908","DOIUrl":"https://doi.org/10.2196/86908","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Web-based lifestyle interventions to promote healthy diet and physical activity among cancer survivors and their partners are recent developments; therefore, few studies have reported patterns of website use or associations with behavior change.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;The primary aim was to describe website use in the DUET (Daughters, Dudes, Mothers, and Others Together) trial and examine the associations between website use and changes in diet quality, moderate to vigorous physical activity (MVPA), and body weight.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This secondary analysis used data from 28 survivor-partner dyads (BMI ≥25 kg/m&lt;sup&gt;2&lt;/sup&gt;) randomized to the 6-month DUET web-based weight loss intervention, which released weekly e-learning sessions on diet and exercise. Website use was quantified as weeks of access, time spent, and frequency of page views. Diet quality was assessed using 2-day dietary recalls; MVPA was measured by the Godin Leisure-Time Exercise Questionnaire and accelerometry. Weight was measured on a scale. Website use was summarized descriptively, and associations were examined using Spearman partial correlations.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Participants had a mean age of 58 (SD 12.5) years; 78.6% (44/56) identified as female, 66.1% (37/56) were non-Hispanic White, and 86% (24/28) were breast cancer survivors. On average, participants viewed 11.2 (SD 7.4) weeks of the 24-week intervention, or a total of 312.9 (SD 255.7) minutes per participant. Sessions (n=2736), Home Page (n=975), and Tools (n=967) features showed the highest activity (5885 total page views). Website use was higher among adults aged 65 years and older than younger participants, showcased by duration of use (mean 14.4, SD 7.4 weeks vs mean 9.2, SD 6.8 weeks; P=.009), time spent per week (mean 17.0, SD 9.7 minutes vs mean 10.5, SD 10.6 minutes; P=.01), and total number of page views (mean 135.7, SD 90 vs mean 85.3, SD 111.9; P=.008); higher website use was also reported among women versus men in terms of duration of use (mean 12.8, SD 7.1 weeks vs mean 5.6, SD 5.9 weeks; P=.003), time spent per week (mean 14.6, SD 10.3 minutes vs mean 7.4, SD 10.3 minutes; P=.02), and total number of page views (mean 120, SD 110.2 vs mean 50.3, SD 64.4; P=.01). Diet quality was positively associated with website use (weeks: r=0.50; P&lt;.001; time: r=0.45; P&lt;.001; total page views: r=0.46; P&lt;.001; and sessions page views: r=0.39; P=.005). Self-reported MVPA was also positively associated with website use (weeks r=0.37; P=.007; time: r=0.36; P=.009; total page views: r=0.36; P=.01; and sessions page views: r=0.35; P=.01). No significant associations were detected for accelerometry-measured MVPA or weight.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Cancer survivors and their partners engaged with the DUET web-based platform to support diet and physical activity (with use particularly high among older adults and females). However, larger, more dive","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"28 ","pages":"e86908"},"PeriodicalIF":6.0,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146093425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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
Effects of Using a Smartphone App Combined With Behavior Change Techniques on the Level of Physical Activity Among Adults and Older Adults: Sequential Multiple Assignment Randomized Trial. 使用智能手机应用程序结合行为改变技术对成年人和老年人身体活动水平的影响:顺序多任务随机试验
IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Pub Date : 2026-01-30 DOI: 10.2196/73388
Maria do Socorro Morais Pereira Simoes, Neli Leite Proença, Vinícius Tonon Lauria, Matheus Bibian do Nascimento, Ricardo da Costa Padovani, Victor Zuniga Dourado
<p><strong>Background: </strong>The use of tools, such as smartphone apps, to increase the level of physical activity (PA) decreases over time. Adaptive intervention trials have been recommended to test technology-based interventions owing to the possibility of adapting interventions based on individual responses.</p><p><strong>Objective: </strong>This study aimed to investigate the effects of using a smartphone app combined with behavior change techniques on the PA level in adults and older adults (assessed using the step count). Moreover, the study investigated the time spent in sedentary behavior and time spent in moderate-to-vigorous PA (MVPA).</p><p><strong>Methods: </strong>In this single-blinded, sequential multiple assignment randomized trial, participants were randomized into 3 groups during a 24-week intervention (group 1: app with tailored messages; group 2: app with tailored messages plus gamification I; and control group: educational information). In the sixth week, participants from groups 1 and 2 were classified as responders and nonresponders according to their average daily step count. Nonresponders were rerandomized among the other groups, adding a second type of gamification (group 3: app with tailored messages plus gamification II). After another 6 weeks, participants were reassessed and advised to keep monitoring their step count with the app, but without interference from the researchers. Face-to-face assessments were conducted. The behavior change techniques included app features (goal setting, auto-monitoring, ranking, and virtual badges) and researcher-provided resources (tailored messages and in-person sessions of PA). The intervention effects were analyzed using linear mixed models.</p><p><strong>Results: </strong>The study included 53 participants (control group: n=17, group 1: n=17, group 2: n=19; mean age 44.0, SD 12.7 years). Groups 1 and 2 had 63% (10/16) and 47% (7/15) responders, respectively (P=.38). Regarding the PA level, participants from group 1 showed increases in the average daily step count at all assessments (final vs initial: B=797.2 steps/day, 95% CI 475.3-1119.1; P<.001; follow-up vs initial: B=2097.6 steps/day, 95% CI 1577.2-2618.1; P<.001). All participants showed a reduction in the time spent in sedentary behavior at the final assessment compared with the initial assessment (B=-70.8 min/week, 95% CI -88.8 to -52.9; P<.001), without differences among groups. The time spent in MVPA varied across time among all participants. Regardless of the initial group and allocation in the second randomization, responders from groups 1 and 2 showed a constant increase in the average daily step count (week 6 vs week 1: B=1548.0 steps/day, 95% CI 1407.4-1688.6; P<.001; week 12 vs week 1: B=1720.3 steps/day, 95% CI 1568.8-1871.7; P<.001; week 12 vs week 6: B=172.3, 95% CI 20.8-323.8; P=.03).</p><p><strong>Conclusions: </strong>The adaptive intervention protocol using a smartphone app with behavior change techniques
背景:随着时间的推移,使用智能手机应用程序等工具来增加身体活动水平(PA)的情况越来越少。适应性干预试验已被建议用于测试基于技术的干预措施,因为有可能根据个人反应调整干预措施。目的:本研究旨在调查使用智能手机应用程序结合行为改变技术对成年人和老年人PA水平的影响(使用步数评估)。此外,该研究还调查了久坐行为的时间和中高强度PA (MVPA)的时间。方法:在这项单盲、顺序多任务随机试验中,参与者在为期24周的干预期间被随机分为3组(第1组:定制消息应用程序;第2组:定制消息应用程序加游戏化I;对照组:教育信息)。在第六周,根据参与者的平均每日步数,将第一组和第二组的参与者分为有反应者和无反应者。无应答者被重新随机分配到其他组中,增加了第二种游戏化(第3组:带有定制信息的应用程序加上游戏化II)。又过了6周,研究人员对参与者进行了重新评估,并建议他们继续用这款应用监控自己的步数,但不受研究人员的干扰。进行了面对面的评估。行为改变技术包括应用程序功能(目标设定、自动监控、排名和虚拟徽章)和研究人员提供的资源(定制信息和个人助理的面对面会议)。采用线性混合模型分析干预效果。结果:共纳入53例受试者(对照组17例,组1 17例,组2 19例,平均年龄44.0岁,SD 12.7岁)。1组和2组分别有63%(10/16)和47%(7/15)的应答者(P= 0.38)。关于PA水平,第一组参与者在所有评估中显示平均每日步数增加(最终与初始:B=797.2步/天,95% CI 475.3-1119.1)。结论:使用智能手机应用程序和行为改变技术的自适应干预方案增加了参与者的PA水平。加强行为改变技术并逐步提供新的刺激可能有助于PA行为的改变。
{"title":"Effects of Using a Smartphone App Combined With Behavior Change Techniques on the Level of Physical Activity Among Adults and Older Adults: Sequential Multiple Assignment Randomized Trial.","authors":"Maria do Socorro Morais Pereira Simoes, Neli Leite Proença, Vinícius Tonon Lauria, Matheus Bibian do Nascimento, Ricardo da Costa Padovani, Victor Zuniga Dourado","doi":"10.2196/73388","DOIUrl":"10.2196/73388","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The use of tools, such as smartphone apps, to increase the level of physical activity (PA) decreases over time. Adaptive intervention trials have been recommended to test technology-based interventions owing to the possibility of adapting interventions based on individual responses.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This study aimed to investigate the effects of using a smartphone app combined with behavior change techniques on the PA level in adults and older adults (assessed using the step count). Moreover, the study investigated the time spent in sedentary behavior and time spent in moderate-to-vigorous PA (MVPA).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;In this single-blinded, sequential multiple assignment randomized trial, participants were randomized into 3 groups during a 24-week intervention (group 1: app with tailored messages; group 2: app with tailored messages plus gamification I; and control group: educational information). In the sixth week, participants from groups 1 and 2 were classified as responders and nonresponders according to their average daily step count. Nonresponders were rerandomized among the other groups, adding a second type of gamification (group 3: app with tailored messages plus gamification II). After another 6 weeks, participants were reassessed and advised to keep monitoring their step count with the app, but without interference from the researchers. Face-to-face assessments were conducted. The behavior change techniques included app features (goal setting, auto-monitoring, ranking, and virtual badges) and researcher-provided resources (tailored messages and in-person sessions of PA). The intervention effects were analyzed using linear mixed models.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The study included 53 participants (control group: n=17, group 1: n=17, group 2: n=19; mean age 44.0, SD 12.7 years). Groups 1 and 2 had 63% (10/16) and 47% (7/15) responders, respectively (P=.38). Regarding the PA level, participants from group 1 showed increases in the average daily step count at all assessments (final vs initial: B=797.2 steps/day, 95% CI 475.3-1119.1; P&lt;.001; follow-up vs initial: B=2097.6 steps/day, 95% CI 1577.2-2618.1; P&lt;.001). All participants showed a reduction in the time spent in sedentary behavior at the final assessment compared with the initial assessment (B=-70.8 min/week, 95% CI -88.8 to -52.9; P&lt;.001), without differences among groups. The time spent in MVPA varied across time among all participants. Regardless of the initial group and allocation in the second randomization, responders from groups 1 and 2 showed a constant increase in the average daily step count (week 6 vs week 1: B=1548.0 steps/day, 95% CI 1407.4-1688.6; P&lt;.001; week 12 vs week 1: B=1720.3 steps/day, 95% CI 1568.8-1871.7; P&lt;.001; week 12 vs week 6: B=172.3, 95% CI 20.8-323.8; P=.03).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The adaptive intervention protocol using a smartphone app with behavior change techniques ","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"28 ","pages":"e73388"},"PeriodicalIF":6.0,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12857902/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146093299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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Journal of Medical Internet Research
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