• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一项基于网络和手机的干预措施对促进中年男性身体活动和健康饮食的效果:ManUp研究的随机对照试验

Effectiveness of a web- and mobile phone-based intervention to promote physical activity and healthy eating in middle-aged males: randomized controlled trial of the ManUp study.

作者信息

Duncan Mitch, Vandelanotte Corneel, Kolt Gregory S, Rosenkranz Richard R, Caperchione Cristina M, George Emma S, Ding Hang, Hooker Cindy, Karunanithi Mohan, Maeder Anthony J, Noakes Manny, Tague Rhys, Taylor Pennie, Viljoen Pierre, Mummery W Kerry

机构信息

School of Medicine & Public Health, Priority Research Centre in Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle, Newcastle, Australia.

出版信息

J Med Internet Res. 2014 Jun 12;16(6):e136. doi: 10.2196/jmir.3107.

DOI:10.2196/jmir.3107
PMID:24927299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4090375/
Abstract

BACKGROUND

The high number of adult males engaging in low levels of physical activity and poor dietary practices, and the health risks posed by these behaviors, necessitate broad-reaching intervention strategies. Information technology (IT)-based (Web and mobile phone) interventions can be accessed by large numbers of people, yet there are few reported IT-based interventions targeting males' physical activity and dietary practices.

OBJECTIVE

This study examines the effectiveness of a 9-month IT-based intervention (ManUp) to improve the physical activity, dietary behaviors, and health literacy in middle-aged males compared to a print-based intervention.

METHODS

Participants, recruited offline (eg, newspaper ads), were randomized into either an IT-based or print-based intervention arm on a 2:1 basis in favor of the fully automated IT-based arm. Participants were adult males aged 35-54 years living in 2 regional cities in Queensland, Australia, who could access the Internet, owned a mobile phone, and were able to increase their activity level. The intervention, ManUp, was based on social cognitive and self-regulation theories and specifically designed to target males. Educational materials were provided and self-monitoring of physical activity and nutrition behaviors was promoted. Intervention content was the same in both intervention arms; only the delivery mode differed. Content could be accessed throughout the 9-month study period. Participants' physical activity, dietary behaviors, and health literacy were measured using online surveys at baseline, 3 months, and 9 months.

RESULTS

A total of 301 participants completed baseline assessments, 205 in the IT-based arm and 96 in the print-based arm. A total of 124 participants completed all 3 assessments. There were no significant between-group differences in physical activity and dietary behaviors (P≥.05). Participants reported an increased number of minutes and sessions of physical activity at 3 months (exp(β)=1.45, 95% CI 1.09-1.95; exp(β)=1.61, 95% CI 1.17-2.22) and 9 months (exp(β)=1.55, 95% CI 1.14-2.10; exp(β)=1.51, 95% CI 1.15-2.00). Overall dietary behaviors improved at 3 months (exp(β)=1.07, 95% CI 1.03-1.11) and 9 months (exp(β)=1.10, 95% CI 1.05-1.13). The proportion of participants in both groups eating higher-fiber bread and low-fat milk increased at 3 months (exp(β)=2.25, 95% CI 1.29-3.92; exp(β)=1.65, 95% CI 1.07-2.55). Participants in the IT-based arm were less likely to report that 30 minutes of physical activity per day improves health (exp(β)=0.48, 95% CI 0.26-0.90) and more likely to report that vigorous intensity physical activity 3 times per week is essential (exp(β)=1.70, 95% CI 1.02-2.82). The average number of log-ins to the IT platform at 3 and 9 months was 6.99 (SE 0.86) and 9.22 (SE 1.47), respectively. The average number of self-monitoring entries at 3 and 9 months was 16.69 (SE 2.38) and 22.51 (SE 3.79), respectively.

CONCLUSIONS

The ManUp intervention was effective in improving physical activity and dietary behaviors in middle-aged males with no significant differences between IT- and print-based delivery modes.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry: ACTRN12611000081910; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12611000081910 (Archived by WebCite at http://www.webcitation.org/6QHIWad63).

摘要

背景

大量成年男性身体活动水平较低且饮食习惯不良,这些行为带来的健康风险使得有必要采取广泛的干预策略。基于信息技术(IT)(网络和手机)的干预措施可供大量人群使用,但针对男性身体活动和饮食习惯的基于IT的干预措施报道较少。

目的

本研究旨在检验一项为期9个月的基于IT的干预措施(ManUp)与基于印刷品的干预措施相比,在改善中年男性身体活动、饮食行为和健康素养方面的有效性。

方法

通过线下招募(如报纸广告)参与者,按照2:1的比例随机分为基于IT的干预组或基于印刷品的干预组,倾向于全自动的基于IT的干预组。参与者为年龄在35 - 54岁之间、居住在澳大利亚昆士兰州两个地区城市、能够上网、拥有手机且能够提高其活动水平的成年男性。干预措施ManUp基于社会认知和自我调节理论,专门针对男性设计。提供了教育材料,并促进对身体活动和营养行为的自我监测。两个干预组的干预内容相同;只是交付方式不同。在整个9个月的研究期间都可以获取内容。在基线、3个月和9个月时使用在线调查测量参与者的身体活动、饮食行为和健康素养。

结果

共有301名参与者完成了基线评估,其中基于IT的干预组有205名,基于印刷品的干预组有96名。共有124名参与者完成了所有三项评估。在身体活动和饮食行为方面,两组之间没有显著差异(P≥0.05)。参与者报告在3个月(exp(β)=1.45,95%CI 1.09 - 1.95;exp(β)=1.61,95%CI 1.17 - 2.22)和9个月(exp(β)=1.55,95%CI 1.14 - 2.10;exp(β)=1.51,95%CI 1.15 - 2.00)时,身体活动的分钟数和次数有所增加。总体饮食行为在3个月(exp(β)=1.07,95%CI 1.03 - 1.11)和9个月(exp(β)=1.10,95%CI 1.05 - 1.13)时有所改善。两组中食用高纤维面包和低脂牛奶的参与者比例在3个月时增加(exp(β)=2.25,95%CI 1.29 - 3.92;exp(β)=1.65,95%CI 1.07 - 2.55)。基于IT的干预组参与者不太可能报告每天30分钟的身体活动能改善健康(exp(β)=0.48,95%CI 0.26 - 0.90),而更有可能报告每周进行三次剧烈强度的身体活动至关重要(exp(β)=1.70,95%CI 1.02 - 2.82)。在3个月和9个月时,登录IT平台的平均次数分别为6.99(标准误0.86)和9.22(标准误1.47)。在3个月和9个月时,自我监测条目的平均数量分别为16.69(标准误2.38)和22.51(标准误3.79)。

结论

ManUp干预措施在改善中年男性身体活动和饮食行为方面是有效的,基于IT的交付方式和基于印刷品的交付方式之间没有显著差异。

试验注册

澳大利亚新西兰临床试验注册中心:ACTRN12611000081910;https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12611000081910(由WebCite存档于http://www.webcitation.org/6QHIWad63)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/5e54988a9d9f/jmir_v16i6e136_fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/80bf89e61200/jmir_v16i6e136_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/8ac4427124e6/jmir_v16i6e136_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/533a8c9044a5/jmir_v16i6e136_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/2e0aabdd028c/jmir_v16i6e136_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/4988f39b343c/jmir_v16i6e136_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/0f51d0c2e1c3/jmir_v16i6e136_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/038787cb302a/jmir_v16i6e136_fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/5e54988a9d9f/jmir_v16i6e136_fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/80bf89e61200/jmir_v16i6e136_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/8ac4427124e6/jmir_v16i6e136_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/533a8c9044a5/jmir_v16i6e136_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/2e0aabdd028c/jmir_v16i6e136_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/4988f39b343c/jmir_v16i6e136_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/0f51d0c2e1c3/jmir_v16i6e136_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/038787cb302a/jmir_v16i6e136_fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8657/4090375/5e54988a9d9f/jmir_v16i6e136_fig8.jpg

相似文献

1
Effectiveness of a web- and mobile phone-based intervention to promote physical activity and healthy eating in middle-aged males: randomized controlled trial of the ManUp study.一项基于网络和手机的干预措施对促进中年男性身体活动和健康饮食的效果:ManUp研究的随机对照试验
J Med Internet Res. 2014 Jun 12;16(6):e136. doi: 10.2196/jmir.3107.
2
Effectiveness of a website and mobile phone based physical activity and nutrition intervention for middle-aged males: trial protocol and baseline findings of the ManUp Study.基于网站和手机的针对中年男性的身体活动和营养干预的有效性:ManUp 研究的试验方案和基线结果。
BMC Public Health. 2012 Aug 15;12:656. doi: 10.1186/1471-2458-12-656.
3
A Mobile-Based Intervention for Dietary Behavior and Physical Activity Change in Individuals at High Risk for Type 2 Diabetes Mellitus: Randomized Controlled Trial.基于移动设备的干预措施对 2 型糖尿病高危个体饮食行为和身体活动的影响:随机对照试验。
JMIR Mhealth Uhealth. 2020 Nov 3;8(11):e19869. doi: 10.2196/19869.
4
mHealth Intervention to Improve Diabetes Risk Behaviors in India: A Prospective, Parallel Group Cohort Study.印度改善糖尿病风险行为的移动健康干预:一项前瞻性平行组队列研究。
J Med Internet Res. 2016 Aug 5;18(8):e207. doi: 10.2196/jmir.5712.
5
The Effectiveness of a Computer-Tailored Web-Based Physical Activity Intervention Using Fitbit Activity Trackers in Older Adults (Active for Life): Randomized Controlled Trial.基于 Fitbit 活动追踪器的计算机定制网络体育活动干预对老年人(积极生活)的效果:随机对照试验。
J Med Internet Res. 2022 May 12;24(5):e31352. doi: 10.2196/31352.
6
An Internet-Based Childhood Obesity Prevention Program (Time2bHealthy) for Parents of Preschool-Aged Children: Randomized Controlled Trial.一项针对学龄前儿童家长的基于互联网的儿童肥胖预防计划(Time2bHealthy):随机对照试验。
J Med Internet Res. 2019 Feb 8;21(2):e11964. doi: 10.2196/11964.
7
Text Message and Internet Support for Coronary Heart Disease Self-Management: Results From the Text4Heart Randomized Controlled Trial.冠心病自我管理的短信和互联网支持:Text4Heart随机对照试验的结果。
J Med Internet Res. 2015 Oct 21;17(10):e237. doi: 10.2196/jmir.4944.
8
Web-Based Video-Coaching to Assist an Automated Computer-Tailored Physical Activity Intervention for Inactive Adults: A Randomized Controlled Trial.基于网络的视频指导辅助针对不活跃成年人的自动化计算机定制身体活动干预:一项随机对照试验。
J Med Internet Res. 2016 Aug 12;18(8):e223. doi: 10.2196/jmir.5664.
9
Effectiveness of a mHealth Lifestyle Program With Telephone Support (TXT2BFiT) to Prevent Unhealthy Weight Gain in Young Adults: Randomized Controlled Trial.基于短信的生活方式项目结合电话支持对预防青年体重增加的效果:一项随机对照试验。
JMIR Mhealth Uhealth. 2015 Jun 15;3(2):e66. doi: 10.2196/mhealth.4530.
10
The Hombres Saludables Physical Activity Web-Based and Mobile Phone Intervention: Pilot Randomized Controlled Trial With Latino Men.《健康男士基于网络和移动电话的体力活动干预》:针对拉丁裔男性的试点随机对照试验
J Med Internet Res. 2023 Dec 7;25:e39310. doi: 10.2196/39310.

引用本文的文献

1
Social Cognitive Models of Fruit and Vegetable Consumption, Moderate Physical Activity, and Sleep Behavior in Overweight and Obese Men.超重和肥胖男性水果和蔬菜消费、适度体育活动及睡眠行为的社会认知模型
Health Behav Res. 2018 Apr;1(2). doi: 10.4148/2572-1836.1011. Epub 2018 May 16.
2
Associations between app usage and behaviour change in a m-health intervention to improve physical activity and sleep health in adults: secondary analyses from two randomised controlled trials.一款移动健康干预应用程序的使用与成年人身体活动和睡眠健康行为改变之间的关联:两项随机对照试验的二次分析
J Act Sedentary Sleep Behav. 2023 Feb 2;2(1):4. doi: 10.1186/s44167-022-00013-1.
3

本文引用的文献

1
Examining participant engagement in an information technology-based physical activity and nutrition intervention for men: the manup randomized controlled trial.研究男性参与基于信息技术的体育活动和营养干预的情况:MANUP随机对照试验
JMIR Res Protoc. 2014 Jan 3;3(1):e2. doi: 10.2196/resprot.2776.
2
Rethinking the dose-response relationship between usage and outcome in an online intervention for depression: randomized controlled trial.重新思考抑郁症在线干预中使用与结果之间的剂量反应关系:随机对照试验。
J Med Internet Res. 2013 Oct 17;15(10):e231. doi: 10.2196/jmir.2771.
3
Physical activity and sedentary time: male perceptions in a university work environment.
Does intervention engagement mediate physical activity change in a web-based computer-tailored physical activity intervention?-Secondary outcomes from a randomised controlled trial.
在基于网络的计算机定制体育活动干预中,干预参与是否介导了体育活动的变化?——一项随机对照试验的次要结果
Front Digit Health. 2024 May 21;6:1356067. doi: 10.3389/fdgth.2024.1356067. eCollection 2024.
4
Development of a crowdsourcing- and gamification-based mobile application to collect epidemiological information and promote healthy lifestyles in Mexico.开发基于众包和游戏化的移动应用程序,以收集墨西哥的流行病学信息并促进健康的生活方式。
Sci Rep. 2024 Mar 14;14(1):6174. doi: 10.1038/s41598-024-56761-4.
5
Reflective Engagement With a Digital Physical Activity Intervention Among People Living With and Beyond Breast Cancer: Mixed Methods Study.乳腺癌患者及其康复者对数字身体活动干预措施的反思性参与:混合方法研究
JMIR Mhealth Uhealth. 2024 Feb 9;12:e51057. doi: 10.2196/51057.
6
How European Fans in Training (EuroFIT), a lifestyle change program for men delivered in football clubs, achieved its effect: a mixed methods process evaluation embedded in a randomised controlled trial.如何通过在足球俱乐部中实施的生活方式改变计划“欧洲球迷训练计划”(EuroFIT)实现其效果:一项混合方法的过程评估嵌入随机对照试验中。
BMC Public Health. 2023 Mar 20;23(1):526. doi: 10.1186/s12889-023-15419-y.
7
The Impact of Social Media Interventions on Weight Reduction and Physical Activity Improvement Among Healthy Adults: Systematic Review.社交媒体干预对健康成年人减肥和改善身体活动的影响:系统评价。
J Med Internet Res. 2023 Mar 16;25:e38429. doi: 10.2196/38429.
8
Validity of muscular fitness self-assessments in the ecofit smartphone application: A correlation study.智能手机应用程序“ecofit”中肌肉健康自我评估的有效性:一项相关性研究。
PLoS One. 2022 Dec 1;17(12):e0278374. doi: 10.1371/journal.pone.0278374. eCollection 2022.
9
An eHealth intervention (ManGuard) to reduce cardiovascular disease risk in male taxi drivers: protocol for a feasibility randomised controlled trial.一项旨在降低男性出租车司机心血管疾病风险的电子健康干预措施(ManGuard):一项可行性随机对照试验方案
Pilot Feasibility Stud. 2022 Sep 14;8(1):209. doi: 10.1186/s40814-022-01163-4.
10
Effects of a Gamified, Behavior Change Technique-Based Mobile App on Increasing Physical Activity and Reducing Anxiety in Adults With Autism Spectrum Disorder: Feasibility Randomized Controlled Trial.一款基于游戏化行为改变技术的移动应用程序对增加自闭症谱系障碍成年人身体活动及减轻焦虑的影响:可行性随机对照试验
JMIR Form Res. 2022 Jul 28;6(7):e35701. doi: 10.2196/35701.
体力活动与久坐时间:大学工作环境中的男性观点。
Am J Mens Health. 2014 Mar;8(2):148-58. doi: 10.1177/1557988313497217. Epub 2013 Aug 21.
4
Online prevention aimed at lifestyle behaviors: a systematic review of reviews.针对生活方式行为的在线预防:综述的系统评价
J Med Internet Res. 2013 Jul 16;15(7):e146. doi: 10.2196/jmir.2665.
5
What kinds of website and mobile phone-delivered physical activity and nutrition interventions do middle-aged men want?中年男性想要什么样的网站和手机提供的身体活动和营养干预措施?
J Health Commun. 2013;18(9):1070-83. doi: 10.1080/10810730.2013.768731. Epub 2013 May 6.
6
WALK 2.0 - using Web 2.0 applications to promote health-related physical activity: a randomised controlled trial protocol.WALK 2.0-利用 Web 2.0 应用程序促进与健康相关的身体活动:一项随机对照试验方案。
BMC Public Health. 2013 May 3;13:436. doi: 10.1186/1471-2458-13-436.
7
Behavioral impacts of sequentially versus simultaneously delivered dietary plus physical activity interventions: the CALM trial.饮食加体育活动干预措施先后与同时实施的行为影响:CALM试验
Ann Behav Med. 2013 Oct;46(2):157-68. doi: 10.1007/s12160-013-9501-y.
8
A review of the nature and effectiveness of nutrition interventions in adult males--a guide for intervention strategies.成人男性营养干预措施的性质和效果综述——干预策略指南。
Int J Behav Nutr Phys Act. 2013 Jan 29;10:13. doi: 10.1186/1479-5868-10-13.
9
Functional health literacy mediates the relationship between socio-economic status, perceptions and lifestyle behaviors related to cancer risk in an Australian population.功能性健康素养在澳大利亚人群中,调节了社会经济地位、与癌症风险相关的认知和生活方式行为之间的关系。
Patient Educ Couns. 2013 May;91(2):206-12. doi: 10.1016/j.pec.2012.12.001. Epub 2012 Dec 28.
10
Features predicting weight loss in overweight or obese participants in a web-based intervention: randomized trial.基于网络干预的超重或肥胖参与者体重减轻的预测特征:随机试验
J Med Internet Res. 2012 Dec 12;14(6):e173. doi: 10.2196/jmir.2156.