Suppr超能文献

评估澳大利亚计划怀孕女性的孕前健康和行为改变:OptimalMe 计划,一个具有远程指导的数字化健康生活方式干预措施。

Evaluating Preconception Health and Behaviour Change in Australian Women Planning a Pregnancy: The OptimalMe Program, a Digital Healthy Lifestyle Intervention with Remotely Delivered Coaching.

机构信息

Monash Centre for Health Research and Implementation, Monash University and Monash Health, Melbourne, VIC 3168, Australia.

出版信息

Nutrients. 2024 Jan 3;16(1):155. doi: 10.3390/nu16010155.

Abstract

OptimalMe is a digital healthy lifestyle intervention for women planning a pregnancy, with remotely delivered coaching. This follow-up study of Australian women, stratified by coaching delivery mode (phone vs. videoconferencing), assessed alignment to preconception care guidelines and self-reported behaviour change. Overall, 298 women enrolled with a mean (SD) age of 31.8 (4.3) years and mean BMI of 25.7 (6.1) kg/m. Suboptimal preconception behaviours were reported at baseline, including alcohol consumption (57.2%), infrequent weighing (37.2%) and incomplete cervical cancer screening (15.8%) and prenatal supplementation (38.5). At follow-up (4.5 months) ( = 217), a statistically significant shift towards desired behaviours was reported for alcohol consumption (z = -2.6045, = 0.00932), preconception supplementation (z = -2.7288, = 0.00634) and frequent weight monitoring (z = -5.2911, < 0.00001). An insignificant shift towards adherence to cervical cancer screening (z = -1.8679, = 0.06148) was observed, with a positive trend towards adherence. Results indicate that women who are actively planning a pregnancy require support to optimise health and lifestyle in preparation for pregnancy and general health and lifestyle improvement. Women demonstrated improvement in lifestyle behaviours and self-monitoring, indicating the uptake of low-intensity, non-prescriptive information provision. Supporting the provision of knowledge-enhancing tools and general healthy lifestyle information combines with skilled health coaching as an effective method for behaviour change and self-management. OptimalMe also shows significant improvements in rates of healthcare engagement, which suggests coaching-based digital health interventions may decrease women's barriers for preconception care and improve engagement in clinical settings.

摘要

OptimalMe 是一款针对计划怀孕女性的数字化健康生活方式干预应用,提供远程辅导。这项针对澳大利亚女性的随访研究根据辅导交付模式(电话与视频会议)进行了分层,评估了与孕前保健指南的一致性以及自我报告的行为改变。共有 298 名女性入组,平均(SD)年龄为 31.8(4.3)岁,平均 BMI 为 25.7(6.1)kg/m²。基线时报告存在一些不理想的孕前行为,包括饮酒(57.2%)、称重不频繁(37.2%)、不完全进行宫颈癌筛查(15.8%)和产前补充剂服用不足(38.5%)。在随访(4.5 个月)时(n=217),报告称在饮酒(z=-2.6045,p=0.00932)、孕前补充剂服用(z=-2.7288,p=0.00634)和频繁体重监测(z=-5.2911,p<0.00001)方面,出现了向理想行为转变的统计学显著变化。虽然在宫颈癌筛查依从性方面观察到向积极趋势的无显著变化(z=-1.8679,p=0.06148),但观察到向依从性转变的积极趋势。结果表明,积极计划怀孕的女性需要支持,以优化健康和生活方式,为怀孕和一般健康和生活方式改善做好准备。女性在生活方式行为和自我监测方面表现出改善,表明她们接受了低强度、非规定性的信息提供。支持提供知识增强工具和一般健康生活方式信息,并结合熟练的健康辅导,是一种有效的行为改变和自我管理方法。OptimalMe 还显著提高了医疗保健参与率,这表明基于辅导的数字健康干预措施可能降低女性对孕前保健的障碍,并提高她们在临床环境中的参与度。

相似文献

本文引用的文献

9
Alcohol Use in Pregnancy.孕期饮酒
Clin Obstet Gynecol. 2019 Mar;62(1):142-155. doi: 10.1097/GRF.0000000000000414.

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