• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用“双人饮食”智能手机应用优化孕期体重增加:一项随机对照试验的方案

Optimizing Gestational Weight Gain With the Eating4Two Smartphone App: Protocol for a Randomized Controlled Trial.

作者信息

Davis Deborah, Davey Rachel, Williams Lauren T, Foureur Maralyn, Nohr Ellen, Knight-Agarwal Catherine, Lawlis Tanya, Oats Jeremy, Skouteris Helen, Fuller-Tyszkiewicz Matthew

机构信息

University of Canberra, Canberra, Australia.

ACT Government Health Directorate, Canberra, Australia.

出版信息

JMIR Res Protoc. 2018 May 30;7(5):e146. doi: 10.2196/resprot.9920.

DOI:10.2196/resprot.9920
PMID:29848468
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6000478/
Abstract

BACKGROUND

Approximately 50% of women gain excessive weight in pregnancy. Optimizing gestational weight gain is important for the short- and long-term health of the childbearing woman and her baby. Despite this, there is no recommendation for routine weighing in pregnancy, and weight is a topic that many maternity care providers avoid. Resource-intensive interventions have mainly targeted overweight and obese women with variable results. Few studies have examined the way that socioeconomic status might influence the effectiveness or acceptability of an intervention to participants. Given the scale of the problem of maternal weight gain, maternity services will be unlikely to sustain resource intensive interventions; therefore, innovative strategies are required to assist women to manage weight gain in pregnancy.

OBJECTIVE

The primary aim of the trial was to examine the effectiveness of the Eating4Two smartphone app in assisting women of all body mass index categories to optimize gestational weight gain. Secondary aims include comparing childbirth outcomes and satisfaction with antenatal care and examining the way that relative advantage and disadvantage might influence engagement with and acceptability of the intervention.

METHODS

This randomized controlled trial will randomize 1330 women to control or intervention groups in 3 regions of different socioeconomic status. Women will be recruited from clinical and social media sites. The intervention group will be provided with access to the Eating4Two mobile phone app which provides nutrition and dietary information specifically tailored for pregnancy, advice on food serving sizes, and a graph that illustrates women's weight change in relation to the range recommended by the Institute of Medicine. Women will be encouraged to use the app to prompt conversations with their maternity care providers about weight gain in pregnancy. The control group will receive routine antenatal care.

RESULTS

Recruitment has commenced though the recruitment rate is slower than expected. Additional funds are required to employ research assistants and promote the study in an advertising campaign.

CONCLUSION

Feasibility testing highlighted the inadequacy of the original recruitment strategy and the need to provide the app in both major platforms (Android and iOS). Smartphone technologies may offer an effective alternative to resource intensive strategies for assisting women to optimize weight gain in pregnancy.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12617000169347; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371470 (Archived by WebCite at http://www.webcitation.org /6zDvgw5bo).

REGISTERED REPORT IDENTIFIER

RR1-10.2196/9920.

摘要

背景

约50%的女性在孕期体重增加过多。优化孕期体重增加对育龄妇女及其婴儿的短期和长期健康都很重要。尽管如此,目前尚无孕期常规称重的建议,而且体重是许多产科护理人员避而不谈的话题。资源密集型干预措施主要针对超重和肥胖女性,效果不一。很少有研究探讨社会经济地位可能影响参与者对干预措施的有效性或可接受性的方式。鉴于孕产妇体重增加问题的规模,产科服务不太可能维持资源密集型干预措施;因此,需要创新策略来帮助女性控制孕期体重增加。

目的

该试验的主要目的是研究“孕期饮食42”智能手机应用程序在帮助所有体重指数类别的女性优化孕期体重增加方面的有效性。次要目的包括比较分娩结局和对产前护理的满意度,并研究相对优势和劣势可能影响对干预措施的参与度和可接受性的方式。

方法

这项随机对照试验将把1330名女性随机分为对照组和干预组,这3组来自不同社会经济地位的地区。女性将从临床和社交媒体网站招募。干预组将获得“孕期饮食42”手机应用程序的使用权限,该应用程序提供专门为孕期量身定制的营养和饮食信息、食物份量建议,以及一张图表,说明女性体重变化与医学研究所建议范围的关系。将鼓励女性使用该应用程序,以促进她们与产科护理人员就孕期体重增加问题进行交流。对照组将接受常规产前护理。

结果

招募工作已经开始,不过招募速度比预期慢。需要额外资金来雇佣研究助理,并在广告活动中宣传该研究。

结论

可行性测试凸显了原招募策略的不足,以及在两大主要平台(安卓和iOS)上提供该应用程序的必要性。智能手机技术可能为帮助女性优化孕期体重增加的资源密集型策略提供一种有效的替代方案。

试验注册

澳大利亚新西兰临床试验注册中心ACTRN12617000169347;https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371470(由WebCite存档于http://www.webcitation.org /6zDvgw5bo)。

注册报告标识符

RR1-10.2196/9920。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcfe/6000478/d436fc5c3a57/resprot_v7i5e146_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcfe/6000478/a17dde24c9c8/resprot_v7i5e146_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcfe/6000478/b0cb3df9c4b0/resprot_v7i5e146_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcfe/6000478/f3e34ff5a076/resprot_v7i5e146_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcfe/6000478/d436fc5c3a57/resprot_v7i5e146_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcfe/6000478/a17dde24c9c8/resprot_v7i5e146_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcfe/6000478/b0cb3df9c4b0/resprot_v7i5e146_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcfe/6000478/f3e34ff5a076/resprot_v7i5e146_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcfe/6000478/d436fc5c3a57/resprot_v7i5e146_fig4.jpg

相似文献

1
Optimizing Gestational Weight Gain With the Eating4Two Smartphone App: Protocol for a Randomized Controlled Trial.使用“双人饮食”智能手机应用优化孕期体重增加:一项随机对照试验的方案
JMIR Res Protoc. 2018 May 30;7(5):e146. doi: 10.2196/resprot.9920.
2
Effectiveness of a Smartphone App to Promote Healthy Weight Gain, Diet, and Physical Activity During Pregnancy (HealthyMoms): Randomized Controlled Trial.智能手机应用程序在促进孕妇健康增重、饮食和身体活动方面的效果(HealthyMoms):随机对照试验。
JMIR Mhealth Uhealth. 2021 Mar 11;9(3):e26091. doi: 10.2196/26091.
3
A Smartphone App to Assist Smoking Cessation Among Aboriginal Australians: Findings From a Pilot Randomized Controlled Trial.一款帮助澳大利亚原住民戒烟的智能手机应用:一项试点随机对照试验的结果。
JMIR Mhealth Uhealth. 2019 Apr 2;7(4):e12745. doi: 10.2196/12745.
4
The effect of weight management interventions that include a diet component on weight-related outcomes in pregnant and postpartum women: a systematic review protocol.包含饮食成分的体重管理干预措施对孕妇和产后女性体重相关结局的影响:一项系统评价方案
JBI Database System Rev Implement Rep. 2015 Jan;13(1):88-98. doi: 10.11124/jbisrir-2015-1812.
5
Development and Pilot Testing of the Eating4two Mobile Phone App to Monitor Gestational Weight Gain. Eating4two 手机应用程序的开发和初步测试:用于监测妊娠期体重增加
JMIR Mhealth Uhealth. 2015 Jun 5;3(2):e44. doi: 10.2196/mhealth.4071.
6
A Complex mHealth Coaching Intervention to Prevent Overweight, Obesity, and Diabetes in High-Risk Women in Antenatal Care: Protocol for a Hybrid Type 2 Effectiveness-Implementation Study.一项用于预防产前保健高危女性超重、肥胖和糖尿病的复杂移动健康指导干预措施:一项混合型2期有效性-实施性研究方案
JMIR Res Protoc. 2023 Sep 18;12:e51431. doi: 10.2196/51431.
7
A Smartphone App to Promote Healthy Weight Gain, Diet, and Physical Activity During Pregnancy (HealthyMoms): Protocol for a Randomized Controlled Trial.一款促进孕期健康增重、饮食和身体活动的智能手机应用程序(健康妈妈):一项随机对照试验的方案
JMIR Res Protoc. 2019 Mar 1;8(3):e13011. doi: 10.2196/13011.
8
Combining Technology and Research to Prevent Scald Injuries (the Cool Runnings Intervention): Randomized Controlled Trial.结合技术与研究预防烫伤(酷跑干预措施):随机对照试验
J Med Internet Res. 2018 Oct 10;20(10):e10361. doi: 10.2196/10361.
9
A Promising Food-Coaching Intervention Program to Achieve Optimal Gestational Weight Gain in Overweight and Obese Pregnant Women: Pilot Randomized Controlled Trial of a Smartphone App.一项有望实现超重和肥胖孕妇最佳孕期体重增加的食物指导干预计划:智能手机应用程序的试点随机对照试验
JMIR Form Res. 2019 Oct 24;3(4):e13013. doi: 10.2196/13013.
10
A Pedometer-Guided Physical Activity Intervention for Obese Pregnant Women (the Fit MUM Study): Randomized Feasibility Study.基于计步器的肥胖孕妇体力活动干预(Fit MUM 研究):随机可行性研究。
JMIR Mhealth Uhealth. 2020 May 26;8(5):e15112. doi: 10.2196/15112.

引用本文的文献

1
Protocol of an adaptive mobile health intervention for the management of gestational weight gain: The LEAP cluster randomized controlled trial.一项用于管理孕期体重增加的适应性移动健康干预方案:LEAP整群随机对照试验。
Contemp Clin Trials. 2025 Feb;149:107781. doi: 10.1016/j.cct.2024.107781. Epub 2024 Dec 20.
2
Dietitian-led cluster randomised controlled trial on the effectiveness of mHealth education on health outcomes among pregnant women: a protocol paper.基于移动医疗教育的营养师主导群组随机对照试验对孕妇健康结局的有效性:研究方案。
BMJ Open. 2023 Nov 20;13(11):e075937. doi: 10.1136/bmjopen-2023-075937.
3
App-Supported Lifestyle Interventions in Pregnancy to Manage Gestational Weight Gain and Prevent Gestational Diabetes: Scoping Review.

本文引用的文献

1
Effectiveness and Appropriateness of mHealth Interventions for Maternal and Child Health: Systematic Review.移动健康干预对母婴健康的有效性和适用性:系统评价
JMIR Mhealth Uhealth. 2018 Jan 9;6(1):e7. doi: 10.2196/mhealth.8998.
2
Effects of antenatal diet and physical activity on maternal and fetal outcomes: individual patient data meta-analysis and health economic evaluation.产前饮食和身体活动对母婴结局的影响:个体患者数据的荟萃分析和健康经济评估。
Health Technol Assess. 2017 Aug;21(41):1-158. doi: 10.3310/hta21410.
3
Risk of major congenital malformations in relation to maternal overweight and obesity severity: cohort study of 1.2 million singletons.
应用支持的生活方式干预在妊娠中管理体重增加和预防妊娠糖尿病:范围综述。
J Med Internet Res. 2023 Nov 10;25:e48853. doi: 10.2196/48853.
4
Patient engagement practice within perinatal eHealth: A scoping review.围产期电子健康中的患者参与实践:范围综述。
Nurs Open. 2023 Aug;10(8):4971-4984. doi: 10.1002/nop2.1822. Epub 2023 May 21.
5
A Smartphone App to Restore Optimal Weight (SPAROW) in Women With Recent Gestational Diabetes Mellitus: Randomized Controlled Trial.一款用于近期患有妊娠糖尿病女性恢复理想体重的智能手机应用(SPAROW):随机对照试验。
JMIR Mhealth Uhealth. 2021 Mar 16;9(3):e22147. doi: 10.2196/22147.
6
Nutrition, Behavior Change and Physical Activity Outcomes From the PEARS RCT-An mHealth-Supported, Lifestyle Intervention Among Pregnant Women With Overweight and Obesity.PEARS随机对照试验的营养、行为改变及身体活动结果——一项针对超重和肥胖孕妇的移动健康支持生活方式干预研究
Front Endocrinol (Lausanne). 2020 Feb 4;10:938. doi: 10.3389/fendo.2019.00938. eCollection 2019.
7
Experiences of women receiving mhealth-supported antenatal care in the village from community health workers in rural Burkina Faso, Africa.非洲布基纳法索农村地区社区卫生工作者为农村妇女提供移动健康支持的产前护理的经验。
Digit Health. 2019 Dec 1;5:2055207619892756. doi: 10.1177/2055207619892756. eCollection 2019 Jan-Dec.
与母亲超重和肥胖严重程度相关的重大先天性畸形风险:对120万单胎婴儿的队列研究。
BMJ. 2017 Jun 14;357:j2563. doi: 10.1136/bmj.j2563.
4
Association of BMI and interpregnancy BMI change with birth outcomes in an Australian obstetric population: a retrospective cohort study.澳大利亚产科人群中体重指数(BMI)及孕期体重指数变化与分娩结局的关联:一项回顾性队列研究
BMJ Open. 2016 May 10;6(5):e010667. doi: 10.1136/bmjopen-2015-010667.
5
Assessing the Effect of mHealth Interventions in Improving Maternal and Neonatal Care in Low- and Middle-Income Countries: A Systematic Review.评估移动健康干预措施对改善低收入和中等收入国家孕产妇和新生儿护理的效果:一项系统评价。
PLoS One. 2016 May 4;11(5):e0154664. doi: 10.1371/journal.pone.0154664. eCollection 2016.
6
Association of Pre-Pregnancy Body Mass Index, Pregnancy-Related Weight Changes, and Parity With the Risk of Developing Degenerative Musculoskeletal Conditions.孕前体重指数、妊娠相关体重变化和生育次数与退行性肌肉骨骼疾病发病风险的关系。
Arthritis Rheumatol. 2016 May;68(5):1156-64. doi: 10.1002/art.39565.
7
mHealth Physical Activity Intervention: A Randomized Pilot Study in Physically Inactive Pregnant Women.移动健康身体活动干预:一项针对缺乏身体活动的孕妇的随机试点研究。
Matern Child Health J. 2016 May;20(5):1091-101. doi: 10.1007/s10995-015-1895-7.
8
Effectiveness of mHealth interventions for maternal, newborn and child health in low- and middle-income countries: Systematic review and meta-analysis.移动健康干预措施对低收入和中等收入国家孕产妇、新生儿及儿童健康的有效性:系统评价与荟萃分析。
J Glob Health. 2016 Jun;6(1):010401. doi: 10.7189/jogh.06.010401.
9
Quality of prenatal care questionnaire: psychometric testing in an Australia population.产前护理质量问卷:澳大利亚人群中的心理测量测试
BMC Pregnancy Childbirth. 2015 Sep 10;15:214. doi: 10.1186/s12884-015-0644-7.
10
Effect of a behavioural intervention in obese pregnant women (the UPBEAT study): a multicentre, randomised controlled trial.肥胖孕妇行为干预的效果(UPBEAT 研究):一项多中心、随机对照试验。
Lancet Diabetes Endocrinol. 2015 Oct;3(10):767-77. doi: 10.1016/S2213-8587(15)00227-2. Epub 2015 Jul 9.