Effect of an mHealth-Based Intervention on Excessive Gestational Weight Gain Prevention among Overweight and Obese Women: A Randomized Controlled Trial (Preprint)

Author:

Chen Hung HuiORCID,Lee Ching-FangORCID,Huang Jian-Pei,Chi Li-Kang,Hsiung YvonneORCID

Abstract

BACKGROUND

Excessive gestational weight gain (GWG) is a public health concern since it can lead to adverse consequences and health problems for expecting mothers and their unborn infants. There is a need to evaluate the effects of a GWG management intervention to reduce the burden and risk among overweight and obese women during pregnancy.

OBJECTIVE

To explore the efficacy of a mobile health (mHealth) intervention to prevent excessive GWG, overweight and obese pregnant women were invited to use an app and wearable activity tracker (WAT).

METHODS

A randomized controlled trial with an experimental study design. Ninety-two pregnant women were recruited, and all overweight and obese participants from the two prenatal outpatient clinics in northern Taiwan had, at less than 17 weeks gestation, a prepregnancy body mass index (BMI) ≥ 25 kg/m2. These participants were randomly assigned (1:1) by a random number table; the experimental group received an mHealth-based program using the MyHealthyWeight (MHW) app and a WAT to wear during pregnancy. The control group received standard antenatal treatments without any mHealth-based elements. Two hospital follow-up visits were scheduled at 24-26 weeks in the second trimester and 34-36 weeks in the third trimester. Sociodemographic characteristics, pregnancy physical activity questionnaire (PPAQ), a self-efficacy questionnaire and body weight were measures of interest. A generalized estimating equation (GEE) was used to examine the trajectories and the intervention effect on GWG.

RESULTS

No difference in GWG was found between the intervention and control groups at baseline. The weight gain trajectory in the entire cohort of women with obesity exhibited a quadratic pattern; compared with the control group, a slight increase in the intervention group was found in the second trimester. Throughout the whole pregnancy, the mHealth intervention group had a significantly lower proportion of excessive GWG in total and weekly weight gain. In particular, obese women in the intervention group, compared with obese women in the control group, gained less weight (average difference of 8.76 kg) in the third trimester. The GEE model indicated that obese women who were aged 35 years, had prepregnancy exercise habits, had perceived self-efficacy of diet, and had more physical activity had lower GWG (p<.05).

CONCLUSIONS

The mHealth program has shown positive results in significantly managing GWG among obese and overweight women. Among obese women, the second semester trajectory of weight gain and the lower proportion of excessive GWG were more notable than those of overweight women. Although the intervention seems to be more effective among women with obesity, our results show the potential to prevent excessive GWG during pregnancy in both overweight and obese women. Guidance may be provided to health-care professionals who wish to promote healthy diet and physical activity behaviors.

CLINICALTRIAL

The protocol of the study was registered in ClinicalTrials. gov (NCT04553731).

Publisher

JMIR Publications Inc.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3