Does Usage of an eHealth Intervention Reduce the Risk of Excessive Gestational Weight Gain? Secondary Analysis From a Randomized Controlled Trial.
Does Usage of an eHealth Intervention Reduce the Risk of Excessive Gestational Weight Gain? Secondary Analysis From a Randomized Controlled Trial.
复制标题
eHealth干预措施的使用是否会降低妊娠体重增加过度的风险？来自随机对照试验的二级分析。
DOI：
10.2196/jmir.6644
复制
发表时间：
2017-01-09
影响因子：
7.4
通讯作者：
Olson CM
中科院分区：
文献类型：
--
作者：
Graham ML;Strawderman MS;Demment M;Olson CM
过度的妊娠期体重增加（GWG）有助于母亲和儿童肥胖的发展。基于互联网的干预措施有可能提供创新和互动的选择，以防止大量的人过度GWG。本研究的目的是创建一个新的措施，基于互联网的干预使用模式，并检查是否使用基于互联网的干预与过度GWG的风险降低。该网站的特色是博客、当地资源、文章、常见问题（FAQ）和活动，干预组和对照组的女性都可以参加。每周都会向两组的参与者发送使用网站和强调新内容的电子邮件提醒。只有干预组的参与者可以使用体重增加跟踪器以及饮食和身体活动目标设定工具。共有1335（898干预和437对照）相对多样化和健康的孕妇被随机分配到干预臂或对照arm. Usage模式进行了检查干预和控制臂参与者使用潜在类分析。回归分析被用来估计使用模式和三个GWG结果之间的关联：过度的总GWG，过度的GWG率，和GWG。五种使用模式最能表征干预组参与者对干预的使用。三种使用模式最能表征对照组参与者的使用情况。对照组使用模式与过度GWG无关，而干预组使用模式与过度GWG相关。对照组和干预组的使用模式表征是对自我导向的基于互联网的干预的过程评价的独特方法学贡献。在干预组中，一些使用模式与GWG结局相关。ClinicalTrials.gov;临床试验编号：NCT 01331564; https://clinicaltrials.gov/ct2/show/NCT01331564（由WebCite存档，网址为http：//www.webcitation/6nI9LuX9w）
Excessive gestational weight gain (GWG) contributes to the development of obesity in mother and child. Internet-based interventions have the potential for delivering innovative and interactive options for prevention of excessive GWG to large numbers of people. The objective of this study was to create a novel measure of Internet-based intervention usage patterns and examine whether usage of an Internet-based intervention is associated with reduced risk of excessive GWG. The website featured blogs, local resources, articles, frequently asked questions (FAQs), and events that were available to women in both the intervention and control arm. Weekly reminders to use the website and to highlight new content were emailed to participants in both arms. Only intervention arm participants had access to the weight gain tracker and diet and physical activity goal-setting tools. A total of 1335 (898 intervention and 437 control) relatively diverse and healthy pregnant women were randomly assigned to the intervention arm or control arm. Usage patterns were examined for both intervention and control arm participants using latent class analysis. Regression analyses were used to estimate the association between usage patterns and three GWG outcomes: excessive total GWG, excessive GWG rate, and GWG. Five usage patterns best characterized the usage of the intervention by intervention arm participants. Three usage patterns best characterized control arm participants’ usage. Control arm usage patterns were not associated with excessive GWG, whereas intervention arm usage patterns were associated with excessive GWG. The control and intervention arm usage pattern characterization is a unique methodological contribution to process evaluations for self-directed Internet-based interventions. In the intervention arm some usage patterns were associated with GWG outcomes. ClinicalTrials.gov; Clinical Trials Number: NCT01331564; https://clinicaltrials.gov/ct2/show/NCT01331564 (Archived by WebCite at http://www.webcitation/6nI9LuX9w)