• 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

评估身体活动、减肥计划依从性和体重变化预测因素的单病例研究。

N-of-1 study of weight loss maintenance assessing predictors of physical activity, adherence to weight loss plan and weight change.

作者信息

Kwasnicka Dominika, Dombrowski Stephan U, White Martin, Sniehotta Falko F

机构信息

a Faculty of Health Sciences , School of Psychology and Speech Pathology, Curtin University , Perth , Australia.

b School of Human Health and Social Sciences, Central Queensland University , Perth , Australia.

出版信息

Psychol Health. 2017 Jun;32(6):686-708. doi: 10.1080/08870446.2017.1293057. Epub 2017 Mar 21.

DOI:10.1080/08870446.2017.1293057
PMID:28323457
Abstract

OBJECTIVE

Behaviour change interventions are effective in supporting individuals to achieve clinically significant weight loss, but weight loss maintenance (WLM) is less often attained. This study examined predictive variables associated with WLM.

DESIGN

N-of-1 study with daily ecological momentary assessment combined with objective measurement of weight and physical activity, collected with wireless devices (Fitbit™) for six months. Eight previously obese adults who had lost over 5% of their body weight in the past year took part. Data were analysed using time series methods.

MAIN OUTCOMES MEASURES

Predictor variables were based on five theoretical themes: maintenance motives, self-regulation, personal resources, habits, and environmental influences. Dependent variables were: objectively estimated step count and weight, and self-reported WLM plan adherence.

RESULTS

For all participants, daily fluctuations in self-reported adherence to their WLM plan were significantly associated with most of the explanatory variables, including maintenance motivation and satisfaction with outcomes, self-regulation, habit, and stable environment. Personal resources were not a consistent predictor of plan adherence.

CONCLUSION

This is the first study to assess theoretical predictions of WLM within individuals. WLM is a dynamic process including the interplay of motivation, self-regulation, habit, resources, and perceptions of environmental context. Individuals maintaining their weight have unique psychological profiles which could be accounted for in interventions.

摘要

目的

行为改变干预措施在支持个体实现具有临床意义的体重减轻方面是有效的,但体重减轻维持(WLM)的情况则较少见。本研究调查了与体重减轻维持相关的预测变量。

设计

1例患者的研究,采用每日生态瞬时评估,并结合使用无线设备(Fitbit™)客观测量体重和身体活动,为期6个月。8名曾在过去一年中体重减轻超过5%的肥胖成年人参与了研究。采用时间序列方法对数据进行分析。

主要结局指标

预测变量基于五个理论主题:维持动机、自我调节、个人资源、习惯和环境影响。因变量为:客观估计的步数和体重,以及自我报告的体重减轻维持计划依从性。

结果

对于所有参与者,自我报告的体重减轻维持计划依从性的每日波动与大多数解释变量显著相关,包括维持动机和对结果的满意度、自我调节、习惯和稳定的环境。个人资源并非计划依从性的一致预测因素。

结论

这是第一项评估个体体重减轻维持理论预测的研究。体重减轻维持是一个动态过程,包括动机、自我调节、习惯、资源和对环境背景的认知之间的相互作用。维持体重的个体具有独特的心理特征,可在干预措施中加以考虑。

相似文献

1
N-of-1 study of weight loss maintenance assessing predictors of physical activity, adherence to weight loss plan and weight change.评估身体活动、减肥计划依从性和体重变化预测因素的单病例研究。
Psychol Health. 2017 Jun;32(6):686-708. doi: 10.1080/08870446.2017.1293057. Epub 2017 Mar 21.
2
A feasibility randomised controlled trial of a motivational interviewing-based intervention for weight loss maintenance in adults.一项针对成年人减肥维持的基于动机性访谈干预的可行性随机对照试验。
Health Technol Assess. 2015 Jul;19(50):v-vi, xix-xxv, 1-378. doi: 10.3310/hta19500.
3
'I have been all in, I have been all out and I have been everything in-between': A 2-year longitudinal qualitative study of weight loss maintenance.“我全力以赴,我尽力而为,我也在两者之间摇摆不定”:一项为期两年的减肥维持的纵向定性研究。
J Hum Nutr Diet. 2021 Feb;34(1):199-214. doi: 10.1111/jhn.12826. Epub 2020 Oct 21.
4
Furthering Scientific Inquiry for Weight Loss Maintenance: Assessing the Psychological Processes Impacted by a Low intensity Technology-Assisted Intervention (NULevel Trial).推进减肥维持的科学探究:评估低强度技术辅助干预(NULevel试验)对心理过程的影响。
Ann Behav Med. 2024 Mar 12;58(4):296-303. doi: 10.1093/abm/kaae002.
5
Impact of a male-only weight loss maintenance programme on social-cognitive determinants of physical activity and healthy eating: A randomized controlled trial.仅限男性参与的体重维持计划对身体活动和健康饮食的社会认知决定因素的影响:一项随机对照试验。
Br J Health Psychol. 2015 Nov;20(4):724-44. doi: 10.1111/bjhp.12137. Epub 2015 Mar 16.
6
The NoHoW protocol: a multicentre 2×2 factorial randomised controlled trial investigating an evidence-based digital toolkit for weight loss maintenance in European adults.NoHoW 方案:一项多中心 2×2 析因随机对照试验,旨在针对欧洲成年人的体重维持,研究一种基于证据的数字工具包。
BMJ Open. 2019 Sep 30;9(9):e029425. doi: 10.1136/bmjopen-2019-029425.
7
Patterns and Predictors of Engagement With Digital Self-Monitoring During the Maintenance Phase of a Behavioral Weight Loss Program: Quantitative Study.行为减肥计划维持阶段数字自我监测的参与模式和预测因素:定量研究。
JMIR Mhealth Uhealth. 2023 Jul 18;11:e45057. doi: 10.2196/45057.
8
Evidence-Based Digital Tools for Weight Loss Maintenance: The NoHoW Project.基于证据的体重维持数字工具:NoHoW 项目。
Obes Facts. 2021;14(3):320-333. doi: 10.1159/000515663. Epub 2021 Apr 29.
9
Behavioural intervention for weight loss maintenance versus standard weight advice in adults with obesity: A randomised controlled trial in the UK (NULevel Trial).行为干预对肥胖成年人的体重维持与标准体重建议的比较:英国的一项随机对照试验(NULevel 试验)。
PLoS Med. 2019 May 7;16(5):e1002793. doi: 10.1371/journal.pmed.1002793. eCollection 2019 May.
10
Episodic future thinking, delay discounting, and exercise during weight loss maintenance: The PACE trial.间歇性未来思考、延迟折扣和减肥维持期的运动:PACE 试验。
Health Psychol. 2020 Sep;39(9):796-805. doi: 10.1037/hea0000860.

引用本文的文献

1
Precision prevention in occupational health: a conceptual analysis and development of a unified understanding and an integrative framework.精准预防在职业健康中的应用:概念分析及统一理解和综合框架的构建。
Front Public Health. 2024 Sep 18;12:1444521. doi: 10.3389/fpubh.2024.1444521. eCollection 2024.
2
Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation.人工智能辅助应用程序改善饮食行为的有效性:混合方法评估。
J Med Internet Res. 2024 May 7;26:e46036. doi: 10.2196/46036.
3
Acceptability and Feasibility of the Telehealth Bariatric Behavioral Intervention to Increase Physical Activity Before Bariatric Surgery: A Single-Case Experimental Study (Part I).
远程医疗肥胖行为干预在肥胖症手术前增加身体活动的可接受性和可行性:一项单病例实验研究(第一部分)。
Obes Surg. 2024 May;34(5):1639-1652. doi: 10.1007/s11695-024-07161-0. Epub 2024 Mar 14.
4
Biofeedback and Digitalized Motivational Interviewing to Increase Daily Physical Activity: Series of Factorial N-of-1 Randomized Controlled Trials Piloting the Precious App.生物反馈与数字化动机性访谈以增加日常身体活动:系列析因单病例随机对照试验,对珍贵应用程序进行试点研究
JMIR Form Res. 2023 Nov 23;7:e34232. doi: 10.2196/34232.
5
Protocol of a feasibility study of a virtual personalized (N-of-1) trial for increasing low-intensity physical activity in older adults via habit formation.一项通过习惯养成增加老年人低强度身体活动的虚拟个性化(单病例)试验可行性研究方案。
Contemp Clin Trials Commun. 2023 Jun 5;33:101135. doi: 10.1016/j.conctc.2023.101135. eCollection 2023 Jun.
6
Defining Valid Activity Monitor Data: A Multimethod Analysis of Weight-Loss Intervention Participants' Barriers to Wear and First 100 Days of Physical Activity.定义有效的活动监测数据:对减肥干预参与者佩戴设备的障碍及身体活动前100天的多方法分析
Informatics (MDPI). 2021 Jun;8(2). doi: 10.3390/informatics8020039. Epub 2021 Jun 6.
7
Developing the "Choosing Health" Digital Weight Loss and Maintenance Intervention: Intervention Mapping Study.开发“选择健康”数字减肥和维持干预措施:干预映射研究。
J Med Internet Res. 2022 Oct 18;24(10):e34089. doi: 10.2196/34089.
8
Acceptability and Feasibility of the Telehealth Bariatric Behavioral Intervention to Increase Physical Activity: Protocol for a Single-Case Experimental Study.远程医疗肥胖症行为干预以增加身体活动的可接受性和可行性:单病例实验研究方案
JMIR Res Protoc. 2022 Sep 29;11(9):e39633. doi: 10.2196/39633.
9
The Niche of n-of-1 Trials in Precision Medicine for Weight Loss and Obesity Treatment: Back to the Future.n-of-1 试验在减肥和肥胖治疗精准医学中的定位:回到未来。
Curr Nutr Rep. 2022 Jun;11(2):133-145. doi: 10.1007/s13668-022-00404-5. Epub 2022 Feb 16.
10
Dynamic structural equation modeling of the relationship between alcohol habit and drinking variability.酒精习惯与饮酒变异性关系的动态结构方程建模。
Drug Alcohol Depend. 2022 Apr 1;233:109202. doi: 10.1016/j.drugalcdep.2021.109202. Epub 2021 Nov 27.