@Article{信息:doi 10.2196 / /移动医疗。9912，作者=“Mitchell, Marc和White, Lauren和Lau, Erica和Leahey, Tricia和Adams, Marc A和Faulkner, Guy”，标题=“评估胡萝卜奖励应用程序，一个基于人口层面激励的干预促进两省加拿大步数:半实验研究”，期刊=“JMIR Mhealth Uhealth”，年=“2018”，月=“Sep”，日=“20”，卷=“6”，数=“9”，页=“e178”，关键词=“行为经济学”;财政保健奖励;移动健康;移动电话;身体活动;背景:胡萝卜奖励应用程序是一种创新的公私合作伙伴关系的一部分，用于奖励加拿大人的忠诚积分，这些积分可以兑换零售商品、旅行奖励和杂货，因为他们从事健康的行为，如散步。目的:本研究考察了包括目标设定、分级任务、生物反馈和与每日步数目标实现相关的非常小的激励(通过内置智能手机加速度计评估)在内的多成分干预是否可以增加加拿大两个省(不列颠哥伦比亚省(BC)和纽芬兰和拉布拉多省(NL)的身体活动。方法:这项为期12周的准实验(单组前后)研究纳入78,882名参与者;44.39{\%}(35,014/78,882)在招募期间(2016年6月13日- 7月10日)参加了Carrot Rewards的“Steps”步行计划。 During the 2-week baseline (or ``run-in'') period, we calculated participants' mean steps per day. Thereafter, participants earned incentives in the form of loyalty points (worth Can {\$}0.04 ) every day they reached their personalized daily step goal (ie, baseline mean+1000 steps=first daily step goal level). Participants earned additional points (Can {\$}0.40) for meeting their step goal 10+ nonconsecutive times in a 14-day period (called a ``Step Up Challenge''). Participants could earn up to Can {\$}5.00 during the 12-week evaluation period. Upon meeting the 10-day contingency, participants could increase their daily goal by 500 steps, aiming to gradually increase the daily step number by 3000. Only participants with ≥5 valid days (days with step counts: 1000-40,000) during the baseline period were included in the analysis (n=32,229).The primary study outcome was mean steps per day (by week), analyzed using linear mixed-effects models. Results: The mean age of 32,229 participants with valid baseline data was 33.7 (SD 11.6) years; 66.11{\%} (21,306/32,229) were female. The mean daily step count at baseline was 6511.22. Over half of users (16,336/32,229, 50.69{\%}) were categorized as ``physically inactive,'' accumulating <5000 daily steps at baseline. Results from mixed-effects models revealed statistically significant increases in mean daily step counts when comparing baseline with each study week (P<.001). Compared with baseline, participants walked 115.70 more steps (95{\%} CI 74.59 to 156.81; P<.001) at study week 12. BC and NL users classified as ``high engagers'' (app engagement above sample median; 15,511/32,229, 48.13{\%}) walked 738.70 (95{\%} CI 673.81 to 803.54; P<.001) and 346.00 (95{\%} CI 239.26 to 452.74; P<.001) more steps, respectively. Physically inactive, high engagers (7022/32,229, 21.08{\%}) averaged an increase of 1224.66 steps per day (95{\%} CI 1160.69 to 1288.63; P<.001). Effect sizes were modest. Conclusions: Providing very small but immediate rewards for personalized daily step goal achievement as part of a multicomponent intervention increased daily step counts on a population scale, especially for physically inactive individuals and individuals who engaged more with the walking program. Positive effects in both BC and NL provide evidence of replicability. ", issn="2291-5222", doi="10.2196/mhealth.9912", url="http://mhealth.www.mybigtv.com/2018/9/e178/", url="https://doi.org/10.2196/mhealth.9912", url="http://www.ncbi.nlm.nih.gov/pubmed/30148712" }