TY - JOUR AU - Russell, Catherine Georgina AU - Denney-Wilson, Elizabeth AU - Laws, Rachel A AU - Abbott, Gavin AU - Zheng, miaoobing AU - Lymer, Sharyn J AU - Taki, Sarah AU - Litterbach, Eloise-Kate V AU - Ong, kokleong AU - Campbell, Karen J PY - 2018 DA - 2018/04/25 TI -不断增长的健康移动健康计划对孕产妇喂养实践,婴儿食物偏好和饱腹反应的影响:准实验研究Mhealth -肥胖-婴儿-父母-食物偏好-食欲-儿童肥胖-喂养行为-超重-饮食-健康促进背景:婴儿期是预防肥胖工作的重要生命阶段。父母喂养婴儿的做法影响婴儿的食物偏好和饮食行为的发展,进而影响饮食和体重。移动医疗(mHealth)可以提供一种可行的媒介,通过这种媒介实施促进婴儿健康喂养的方案,因为它成本低,而且容易获得量身定制的内容。目的:本研究的目的是描述移动健康干预对父母喂养方式、婴儿食物偏好和婴儿饱腹反应的影响。方法:采用移动健康干预组(“健康成长”)和非随机对照组(“婴儿的第一餐”)进行准实验研究。干预组可以使用一个免费的应用程序,该应用程序具有适合年龄的推送通知,一个网站和一个在线论坛,为他们提供关于婴儿喂养的循证建议,以促进婴儿从出生到9个月的健康成长。使用行为改变轮框架选择行为改变技术。两组的参与者都完成了三次基于网络的调查,首先是在他们的婴儿小于3个月时(基线,T1),然后是在6个月时(时间2,T2)和9个月时(时间3,T3)。调查的问题包括婴儿喂养的做法和信念(婴儿喂养问卷,IFQ),饱腹反应(婴儿饮食行为问卷),以及婴儿的食物暴露和喜欢。 Multivariate linear regression models, estimated using maximum likelihood with bootstrapped standard errors, were fitted to compare continuous outcomes between the intervention groups, with adjustment for relevant covariates. Multivariate logistic regression adjusting for the same covariates was performed for categorical outcomes. Results: A total of 645 parents (Growing Healthy: n=301, Baby's First Food: n=344) met the eligibility criteria and were included in the study, reducing to a sample size of 546 (Growing Healthy: n=234, Baby's First Food: n=312) at T2 and a sample size of 518 (Growing Healthy: n=225, Baby's First Food: n=293) at T3. There were approximately equal numbers of boy and girl infants, and infants were aged less than 3 months at baseline (Growing Healthy: mean 7.0, SD 3.7 weeks; Baby's First Food: mean 7.9, SD 3.8 weeks), with Growing Healthy infants being slightly younger than Baby's First Food infants (P=.001). All but one (IFQ subscale “concerns about infant overeating or becoming overweight” at T2) of the measured outcomes did not differ between Growing Healthy and Baby's First Food. Conclusions: Although mHealth can be effective in promoting some health behaviors and offers many advantages in health promotion, the results of this study suggest that design and delivery characteristics needed to maximize the impact of mHealth interventions on infant feeding are uncertain. The sensitivity of available measurement tools and differences in baseline characteristics of participants may have also affected the results. SN - 2291-5222 UR - http://mhealth.www.mybigtv.com/2018/4/e77/ UR - https://doi.org/10.2196/mhealth.9303 UR - http://www.ncbi.nlm.nih.gov/pubmed/29695373 DO - 10.2196/mhealth.9303 ID - info:doi/10.2196/mhealth.9303 ER -
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