{"title":"电子健康使用对日本就业妇女提供儿童保育和护理的社会支持和幸福感的增强作用:贝叶斯结构方程模型研究","authors":"Noyuri Yamaji, Daisuke Yoneoka, Daichi Suzuki, Kiriko Sasayama, Erika Ota, Etsuko Nishimura, Hisateru Tachimori, Eiko Saito","doi":"10.2196/68119","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The increasing prevalence of information and communication technologies has made health-related information and social support more accessible on the web. However, limited evidence exists on how eHealth and social support affect the well-being of employed women who also serve as caregivers in Japan.</p><p><strong>Objective: </strong>This study aimed to assess the relationship between social support and well-being among employed Japanese women providing childcare or caregiving and explore eHealth use's role in enhancing this relationship.</p><p><strong>Methods: </strong>We conducted a cross-sectional study using secondary data analysis from a nationwide web-based questionnaire survey of 10,000 employed women aged 20-65 years, administered from February 28, 2023, to March 7, 2023. The primary study used a quota random sampling approach based on age and geographic area from the research company's panel. For this analysis, we focused on a subgroup of 2456 women who reported either caring for children less than 7 years old or providing other caregiving responsibilities. We employed a Bayesian structural equation model to estimate the enhancing effect of eHealth on the relationship between social support and 4 well-being indicators: life satisfaction, worthwhileness, happiness, and anxiety.</p><p><strong>Results: </strong>Among the 2456 employed women included, 1784 (72.6%) received social support and 1635 (66.6%) obtained health-related information via eHealth. Bayesian structural equation model analysis revealed that the standardized total effects of social support on well-being were 0.20 (95% CI 0.13-0.27) in the group without eHealth use and 0.47 (95% CI 0.45-0.50) in the group with eHealth use.</p><p><strong>Conclusions: </strong>The findings suggest that eHealth may enhance the positive impact of social support on the well-being of employed Japanese women providing childcare or caregiving. This study highlights the potential of eHealth interventions in supporting social support and well-being among working women with caregiving responsibilities in Japan.</p>","PeriodicalId":36223,"journal":{"name":"JMIR Pediatrics and Parenting","volume":"8 ","pages":"e68119"},"PeriodicalIF":2.3000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing Effect of eHealth Use on the Associations Between Social Supports and Well-Being in Japanese Employed Women Providing Childcare or Care: Bayesian Structural Equation Modeling Study.\",\"authors\":\"Noyuri Yamaji, Daisuke Yoneoka, Daichi Suzuki, Kiriko Sasayama, Erika Ota, Etsuko Nishimura, Hisateru Tachimori, Eiko Saito\",\"doi\":\"10.2196/68119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The increasing prevalence of information and communication technologies has made health-related information and social support more accessible on the web. However, limited evidence exists on how eHealth and social support affect the well-being of employed women who also serve as caregivers in Japan.</p><p><strong>Objective: </strong>This study aimed to assess the relationship between social support and well-being among employed Japanese women providing childcare or caregiving and explore eHealth use's role in enhancing this relationship.</p><p><strong>Methods: </strong>We conducted a cross-sectional study using secondary data analysis from a nationwide web-based questionnaire survey of 10,000 employed women aged 20-65 years, administered from February 28, 2023, to March 7, 2023. The primary study used a quota random sampling approach based on age and geographic area from the research company's panel. For this analysis, we focused on a subgroup of 2456 women who reported either caring for children less than 7 years old or providing other caregiving responsibilities. We employed a Bayesian structural equation model to estimate the enhancing effect of eHealth on the relationship between social support and 4 well-being indicators: life satisfaction, worthwhileness, happiness, and anxiety.</p><p><strong>Results: </strong>Among the 2456 employed women included, 1784 (72.6%) received social support and 1635 (66.6%) obtained health-related information via eHealth. Bayesian structural equation model analysis revealed that the standardized total effects of social support on well-being were 0.20 (95% CI 0.13-0.27) in the group without eHealth use and 0.47 (95% CI 0.45-0.50) in the group with eHealth use.</p><p><strong>Conclusions: </strong>The findings suggest that eHealth may enhance the positive impact of social support on the well-being of employed Japanese women providing childcare or caregiving. This study highlights the potential of eHealth interventions in supporting social support and well-being among working women with caregiving responsibilities in Japan.</p>\",\"PeriodicalId\":36223,\"journal\":{\"name\":\"JMIR Pediatrics and Parenting\",\"volume\":\"8 \",\"pages\":\"e68119\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JMIR Pediatrics and Parenting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2196/68119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PEDIATRICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR Pediatrics and Parenting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/68119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PEDIATRICS","Score":null,"Total":0}
引用次数: 0
摘要
背景:信息和通信技术的日益普及使得与健康相关的信息和社会支持更容易在网络上获得。然而,关于电子保健和社会支持如何影响在日本担任护理人员的就业妇女的福祉的证据有限。目的:本研究旨在评估提供儿童保育或看护服务的日本就业女性的社会支持与幸福感之间的关系,并探讨电子健康在增强这种关系中的作用。方法:我们从2023年2月28日至2023年3月7日在全国范围内对1万名年龄在20-65岁之间的在职女性进行了基于网络的问卷调查,利用二手数据分析进行了横断面研究。最初的研究采用了基于年龄和地理区域的配额随机抽样方法,来自研究公司的小组。在这项分析中,我们将重点放在2456名妇女的亚组上,这些妇女要么照顾7岁以下的儿童,要么承担其他照顾责任。我们采用贝叶斯结构方程模型来评估电子健康对社会支持与生活满意度、价值感、幸福感和焦虑4个幸福指标之间关系的增强作用。结果:在纳入的2456名就业妇女中,1784名(72.6%)获得了社会支持,1635名(66.6%)通过eHealth获得了健康相关信息。贝叶斯结构方程模型分析显示,社会支持对幸福感的标准化总效应在未使用电子健康服务的组中为0.20 (95% CI 0.13-0.27),在使用电子健康服务的组中为0.47 (95% CI 0.45-0.50)。结论:研究结果表明,电子健康可能会增强社会支持对提供儿童保育或护理的日本就业妇女幸福感的积极影响。这项研究强调了电子健康干预在支持日本有照顾责任的职业妇女的社会支持和福祉方面的潜力。
Enhancing Effect of eHealth Use on the Associations Between Social Supports and Well-Being in Japanese Employed Women Providing Childcare or Care: Bayesian Structural Equation Modeling Study.
Background: The increasing prevalence of information and communication technologies has made health-related information and social support more accessible on the web. However, limited evidence exists on how eHealth and social support affect the well-being of employed women who also serve as caregivers in Japan.
Objective: This study aimed to assess the relationship between social support and well-being among employed Japanese women providing childcare or caregiving and explore eHealth use's role in enhancing this relationship.
Methods: We conducted a cross-sectional study using secondary data analysis from a nationwide web-based questionnaire survey of 10,000 employed women aged 20-65 years, administered from February 28, 2023, to March 7, 2023. The primary study used a quota random sampling approach based on age and geographic area from the research company's panel. For this analysis, we focused on a subgroup of 2456 women who reported either caring for children less than 7 years old or providing other caregiving responsibilities. We employed a Bayesian structural equation model to estimate the enhancing effect of eHealth on the relationship between social support and 4 well-being indicators: life satisfaction, worthwhileness, happiness, and anxiety.
Results: Among the 2456 employed women included, 1784 (72.6%) received social support and 1635 (66.6%) obtained health-related information via eHealth. Bayesian structural equation model analysis revealed that the standardized total effects of social support on well-being were 0.20 (95% CI 0.13-0.27) in the group without eHealth use and 0.47 (95% CI 0.45-0.50) in the group with eHealth use.
Conclusions: The findings suggest that eHealth may enhance the positive impact of social support on the well-being of employed Japanese women providing childcare or caregiving. This study highlights the potential of eHealth interventions in supporting social support and well-being among working women with caregiving responsibilities in Japan.