McVay Megan A, Donahue Marissa L, Cheong JeeWon, Bacon Joseph, Perri Michael G, Ross Kathryn M
Department of Health Education and Behavior, College of Health and Human Performance, University of Florida, Gainesville, FL, USA.
Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Am J Health Promot. 2020 Nov;34(8):837-847. doi: 10.1177/0890117120905709. Epub 2020 Feb 20.
To determine characteristics of weight gain prevention programs that facilitate engagement.
Randomized factorial experiment (5 × 2).
Recruited nationally online.
Adults aged 18 to 75 with body mass index ≥25 who decline a behavioral weight loss intervention (n = 498).
Participants were randomly presented with one of 10 possible descriptions of hypothetical, free weight gain prevention programs that were all low dose and technology-based but differed in regard to 5 behavior change targets (self-weighing only; diet only; physical activity only; combined diet, physical activity, and self-weighing; or choice between diet, physical activity, and self-weighing targets) crossed with 2 financial incentive conditions (presence or absence of incentives for self-monitoring). Participants reported willingness to join the programs, perceived program effectiveness, and reasons for declining enrollment.
Logistic regression and linear regression to test effects of program characteristics offered on willingness to initiate programs and programs' perceived effectiveness, respectively. Content analyses for open-ended text responses.
Participants offered the self-weighing-only programs were more willing to initiate than those offered the programs targeting all 3 behaviors combined (50% vs 36%; odds ratio [OR] = 1.79; 95% confidence interval [CI], 1.01-3.13). Participants offered the programs with financial incentives were more willing to initiate (50% vs 33%; OR = 2.08; 95% CI, 1.44-2.99) and anticipated greater intervention effectiveness (β = .34, = .02) than those offered no financial incentives. Reasons for declining to initiate included specific program features, behavior targets, social aspects, and benefits.
Targeting self-weighing and providing financial incentives for self-monitoring may result in greater uptake of weight gain prevention programs.
https://osf.io/b9zfh, June 19, 2018.
确定有助于参与的体重增加预防计划的特征。
随机析因实验（5×2）。
在全国范围内进行在线招募。
年龄在18至75岁、体重指数≥25且拒绝行为减肥干预的成年人（n = 498）。
向参与者随机呈现10种可能的假设性免费体重增加预防计划描述之一，这些计划均为低剂量且基于技术，但在5个行为改变目标方面有所不同（仅自我称重；仅饮食；仅体育活动；饮食、体育活动和自我称重相结合；或在饮食、体育活动和自我称重目标之间进行选择），并与2种经济激励条件（存在或不存在自我监测激励）交叉。参与者报告了加入计划的意愿、对计划有效性的感知以及拒绝注册的原因。
分别采用逻辑回归和线性回归来测试所提供的计划特征对启动计划的意愿和计划感知有效性的影响。对开放式文本回复进行内容分析。
与提供针对所有3种行为组合的计划的参与者相比，提供仅自我称重计划的参与者更愿意启动计划（50%对36%；优势比[OR]=1.79；95%置信区间[CI]，1.01 - 3.13）。与未提供经济激励的参与者相比，提供有经济激励计划的参与者更愿意启动计划（50%对33%；OR = 2.08；95% CI，1.44 - 2.99），并且预期干预效果更好（β =.34，P =.02）。拒绝启动的原因包括特定的计划特征、行为目标、社会因素和益处。
以自我称重为目标并为自我监测提供经济激励可能会使体重增加预防计划的接受度更高。
https://osf.io/b9zfh, 2018年6月19日。
