The use of self-monitoring modalities to promote health behavior among adults: A cross-sectional survey

Caress A. Dean, Kahee A. Mohammed, Brittany Ventline, Jacob Moosekian, Diana Zhang, K. Elder
{"title":"The use of self-monitoring modalities to promote health behavior among adults: A cross-sectional survey","authors":"Caress A. Dean, Kahee A. Mohammed, Brittany Ventline, Jacob Moosekian, Diana Zhang, K. Elder","doi":"10.5455/JBH.20190227033629","DOIUrl":null,"url":null,"abstract":"Background: U.S. adults experience challenges in performing and sustaining healthy behaviors to improve their cardiovascular health. Self-monitoring modalities may facilitate these lifestyle changes. Therefore, the objective of this cross-sectional study was to examine the use of self-monitoring modalities and the association between the use of multiple self-monitoring modalities and participants’ population characteristics and health behaviors and status. Methods: Data was drawn for the Health Information National Trends Survey 5, Cycle 1. The study included 3,285 U.S. adults, 18 years or older. Descriptive statistics examined the use of the different types of self-monitoring modalities. Binary and ordered logistic regression analyses examined the relationship between types of self-monitoring modalities and participants’ population characteristics and health behaviors and status. Tableau Software was used to illustrate study results. Results: The average age of participants was 54.3 years. Smartphone/tablet users were more likely to have completed college (45.28%) compared to electronic monitoring device (EMD) users (41.06%) and online medical record users (34.04%). Among smartphone/tablet users, participants had significantly higher odds of consuming more > 4 cups of fruits/vegetables than 4 cups of fruits/vegetables compared to participants who consumed 150 minutes/week. Further research is warranted to understand how to utilize population characteristics and health behavior and status to promote the efficacy of self-monitoring.","PeriodicalId":90204,"journal":{"name":"Journal of behavioral health","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of behavioral health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5455/JBH.20190227033629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: U.S. adults experience challenges in performing and sustaining healthy behaviors to improve their cardiovascular health. Self-monitoring modalities may facilitate these lifestyle changes. Therefore, the objective of this cross-sectional study was to examine the use of self-monitoring modalities and the association between the use of multiple self-monitoring modalities and participants’ population characteristics and health behaviors and status. Methods: Data was drawn for the Health Information National Trends Survey 5, Cycle 1. The study included 3,285 U.S. adults, 18 years or older. Descriptive statistics examined the use of the different types of self-monitoring modalities. Binary and ordered logistic regression analyses examined the relationship between types of self-monitoring modalities and participants’ population characteristics and health behaviors and status. Tableau Software was used to illustrate study results. Results: The average age of participants was 54.3 years. Smartphone/tablet users were more likely to have completed college (45.28%) compared to electronic monitoring device (EMD) users (41.06%) and online medical record users (34.04%). Among smartphone/tablet users, participants had significantly higher odds of consuming more > 4 cups of fruits/vegetables than 4 cups of fruits/vegetables compared to participants who consumed 150 minutes/week. Further research is warranted to understand how to utilize population characteristics and health behavior and status to promote the efficacy of self-monitoring.
使用自我监测方式促进成年人的健康行为:一项横断面调查
背景:美国成年人在执行和维持健康行为以改善心血管健康方面面临挑战。自我监控模式可以促进这些生活方式的改变。因此,本横断面研究的目的是检验自我监测模式的使用情况,以及多种自我监测模式的使用与参与者的人口特征、健康行为和状况之间的关系。方法:数据来源于卫生信息全国趋势调查5,第1周期。这项研究包括3285名18岁以上的美国成年人。描述性统计调查了不同类型的自我监测方式的使用情况。二元和有序逻辑回归分析了自我监测方式类型与参与者群体特征、健康行为和健康状况的关系。使用Tableau软件对研究结果进行说明。结果:参与者平均年龄为54.3岁。与电子监控设备(EMD)用户(41.06%)和在线医疗记录用户(34.04%)相比,智能手机/平板电脑用户更有可能完成大学学业(45.28%)。在智能手机/平板电脑用户中,与每周消耗150分钟的参与者相比,参与者消耗4杯水果/蔬菜的几率明显高于4杯水果/蔬菜。如何利用人群特征和健康行为状况促进自我监测的效果有待进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信