应用支持的营养干预对生活方式相关疾病风险人群非高密度脂蛋白胆固醇的有用性

PLOS digital health Pub Date : 2024-12-06 eCollection Date: 2024-12-01 DOI:10.1371/journal.pdig.0000648
Yuko Noda, Mitsuhiro Kometani, Akihiro Nomura, Masao Noda, Rie Oka, Mayuko Kadono, Takashi Yoneda
{"title":"应用支持的营养干预对生活方式相关疾病风险人群非高密度脂蛋白胆固醇的有用性","authors":"Yuko Noda, Mitsuhiro Kometani, Akihiro Nomura, Masao Noda, Rie Oka, Mayuko Kadono, Takashi Yoneda","doi":"10.1371/journal.pdig.0000648","DOIUrl":null,"url":null,"abstract":"<p><p>Lifestyle-related diseases, such as diabetes, are mostly caused by poor lifestyle habits; therefore, modifying these habits is important. In Japan, a system of specific health checkups (SHC) and specific health guidance (SHG) was introduced in 2008. The challenges faced include low retention rates and difficulty in maintaining results. Digital technologies can support self-management and increase patient convenience, although evidence of the usefulness of this technology for SHG is limited. This study evaluated the usefulness of nutritional guidance using a smartphone application (app) added to conventional SHG. We recruited eligible participants for SHG in Japan from November 2018 to March 2020. We assigned them to \"Intervention Group: Application-Supported Nutrition Therapy\" or \"Control Group: Human Nutrition Therapy\" based on their desire to use the app. The primary outcome was a change in non-high-density lipoprotein cholesterol (non-HDL-C) levels post-intervention. The secondary outcomes were a change in lipid profile, metabolic indices, and frequency of logins to the app. We assessed 109 participants in two cohorts: 3-month (short-term) and 6-month (long-term). The short-term cohort had 23 intervention and 29 control participants, while the long-term cohort had 35 and 22, respectively. There was a significant improvement in non-HDL-C levels in the short-term intervention group compared to the control group. There was no significant difference in non-HDL-C levels in the long-term groups or at 1 year. There were significant improvements in body weight (BW) in the short-term cohort until 1 year compared within the groups. The retention rate remained high in the short-term cohort (92%) but decreased to 57.8% at 6 months in the long-term cohort. Using an app system to facilitate dietary recordings and guidance for patients at risk of lifestyle-related diseases led to improved lipid levels and BW. These benefits persisted to some extent after 1 year. This app may partially supplement conventional SHG.</p>","PeriodicalId":74465,"journal":{"name":"PLOS digital health","volume":"3 12","pages":"e0000648"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11623450/pdf/","citationCount":"0","resultStr":"{\"title\":\"The usefulness of an application-supported nutritional intervention on non-high-density lipoprotein cholesterol in people with a risk of lifestyle-related diseases.\",\"authors\":\"Yuko Noda, Mitsuhiro Kometani, Akihiro Nomura, Masao Noda, Rie Oka, Mayuko Kadono, Takashi Yoneda\",\"doi\":\"10.1371/journal.pdig.0000648\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Lifestyle-related diseases, such as diabetes, are mostly caused by poor lifestyle habits; therefore, modifying these habits is important. In Japan, a system of specific health checkups (SHC) and specific health guidance (SHG) was introduced in 2008. The challenges faced include low retention rates and difficulty in maintaining results. Digital technologies can support self-management and increase patient convenience, although evidence of the usefulness of this technology for SHG is limited. This study evaluated the usefulness of nutritional guidance using a smartphone application (app) added to conventional SHG. We recruited eligible participants for SHG in Japan from November 2018 to March 2020. We assigned them to \\\"Intervention Group: Application-Supported Nutrition Therapy\\\" or \\\"Control Group: Human Nutrition Therapy\\\" based on their desire to use the app. The primary outcome was a change in non-high-density lipoprotein cholesterol (non-HDL-C) levels post-intervention. The secondary outcomes were a change in lipid profile, metabolic indices, and frequency of logins to the app. We assessed 109 participants in two cohorts: 3-month (short-term) and 6-month (long-term). The short-term cohort had 23 intervention and 29 control participants, while the long-term cohort had 35 and 22, respectively. There was a significant improvement in non-HDL-C levels in the short-term intervention group compared to the control group. There was no significant difference in non-HDL-C levels in the long-term groups or at 1 year. There were significant improvements in body weight (BW) in the short-term cohort until 1 year compared within the groups. The retention rate remained high in the short-term cohort (92%) but decreased to 57.8% at 6 months in the long-term cohort. Using an app system to facilitate dietary recordings and guidance for patients at risk of lifestyle-related diseases led to improved lipid levels and BW. These benefits persisted to some extent after 1 year. This app may partially supplement conventional SHG.</p>\",\"PeriodicalId\":74465,\"journal\":{\"name\":\"PLOS digital health\",\"volume\":\"3 12\",\"pages\":\"e0000648\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11623450/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PLOS digital health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1371/journal.pdig.0000648\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLOS digital health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1371/journal.pdig.0000648","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

与生活方式有关的疾病,如糖尿病,大多是由不良的生活习惯引起的;因此,改变这些习惯很重要。在日本,2008年引入了特定健康检查(SHC)和特定健康指导(SHG)系统。面临的挑战包括低保留率和难以维持成果。数字技术可以支持自我管理并增加患者的便利性,尽管该技术对SHG有用的证据有限。本研究评估了使用智能手机应用程序(app)添加到传统SHG的营养指导的有效性。我们从2018年11月到2020年3月在日本招募了符合条件的SHG参与者。根据他们使用应用程序的意愿,我们将他们分为“干预组:应用支持的营养治疗”或“对照组:人类营养治疗”。主要结果是干预后非高密度脂蛋白胆固醇(non-HDL-C)水平的变化。次要结果是血脂、代谢指标和登录应用程序频率的变化。我们评估了109名参与者,分为两个队列:3个月(短期)和6个月(长期)。短期队列有23名干预参与者和29名对照参与者,而长期队列分别有35名和22名参与者。与对照组相比,短期干预组的非hdl - c水平有显著改善。非hdl - c水平在长期组和1年后无显著差异。与组内比较,短期队列的体重(BW)在1年内有显著改善。短期队列的保留率仍然很高(92%),但在6个月的长期队列中下降到57.8%。使用一个应用程序系统来促进饮食记录和指导有生活方式相关疾病风险的患者,从而改善了血脂水平和体重。这些益处在1年后仍有一定程度的持续。该应用程序可以部分补充传统SHG。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The usefulness of an application-supported nutritional intervention on non-high-density lipoprotein cholesterol in people with a risk of lifestyle-related diseases.

Lifestyle-related diseases, such as diabetes, are mostly caused by poor lifestyle habits; therefore, modifying these habits is important. In Japan, a system of specific health checkups (SHC) and specific health guidance (SHG) was introduced in 2008. The challenges faced include low retention rates and difficulty in maintaining results. Digital technologies can support self-management and increase patient convenience, although evidence of the usefulness of this technology for SHG is limited. This study evaluated the usefulness of nutritional guidance using a smartphone application (app) added to conventional SHG. We recruited eligible participants for SHG in Japan from November 2018 to March 2020. We assigned them to "Intervention Group: Application-Supported Nutrition Therapy" or "Control Group: Human Nutrition Therapy" based on their desire to use the app. The primary outcome was a change in non-high-density lipoprotein cholesterol (non-HDL-C) levels post-intervention. The secondary outcomes were a change in lipid profile, metabolic indices, and frequency of logins to the app. We assessed 109 participants in two cohorts: 3-month (short-term) and 6-month (long-term). The short-term cohort had 23 intervention and 29 control participants, while the long-term cohort had 35 and 22, respectively. There was a significant improvement in non-HDL-C levels in the short-term intervention group compared to the control group. There was no significant difference in non-HDL-C levels in the long-term groups or at 1 year. There were significant improvements in body weight (BW) in the short-term cohort until 1 year compared within the groups. The retention rate remained high in the short-term cohort (92%) but decreased to 57.8% at 6 months in the long-term cohort. Using an app system to facilitate dietary recordings and guidance for patients at risk of lifestyle-related diseases led to improved lipid levels and BW. These benefits persisted to some extent after 1 year. This app may partially supplement conventional SHG.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Introducing the Team Card: Enhancing governance for medical Artificial Intelligence (AI) systems in the age of complexity. Correction: Infusing behavior science into large language models for activity coaching. Validation and user experience testing of DataCryptChain: An open-source standard combining blockchain technology with asymmetric encryption for private, secure, shareable, and tamper-proof research data. Safety of human-AI cooperative decision-making within intensive care: A physical simulation study. Artificial intelligence as a tool for improving health literacy in kidney care.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1