PDF(Pubmed)
Abstract：
Demographic changes and a low birth rate have led to a workforce shortage in Japan. To address this issue, the government has promoted engagement of female employment. However, increased female employment can impact women\'s health. Using Internet of Things (IoT) and apps to manage women\'s health has gained attention, but few studies have focused on working women.
This study aimed to clarify the current situation of working women and their use of IoT or apps to manage their health.
A large-scale, nationwide internet survey was conducted among 10,000 female participants aged from 20 years to 64 years in Japan. Participants were recruited from a marketing research company\'s active survey panel of 5.24 million members. The survey included questions about health status, sociodemographic factors, psychological characteristics, and the use of IoT or apps for health management. We compared perceived health status and reasons for current IoT use using t tests and assessed participant characteristics that predicted IoT use using the C5.0 decision tree algorithm. Ethical approval was granted by St. Luke\'s International University.
Among participants, 14.6% (1455/10,000) currently used IoT or apps, 7% (695/10,000) used them previously, and 78.5% (7850/10,000) had never used them. Current users (42.7 years old) were older than past users (39.7 years old). Discrepancies were observed between participants\' perceived health problems and the purpose for using IoT or apps, with 21.3% (2130/10,000) of all women reporting they experienced menstrual symptoms or disorders but only 3.5% (347/10,000) used IoT or apps to manage the same symptom. On the other hand, current users were more likely to use IoT or apps to manage nutrition-related problems such as underweight or obesity (405/1455, 27.8%). Device use was highest among current users, with 87.3% (1270/1455) using smartphones, 19.7% (287/1455) using smartwatches, and 13.3% (194/1455) using PCs. Decision tree analysis identified 6 clusters, the largest consisting of 81.6% (5323/6523) of non-IoT users who did not exercise regularly, while pregnant women were more likely to use IoT or apps.
Our findings highlight the idea that woman with particular health problems (ie, menstrual symptoms or disorders and premenstrual syndrome) have lower use of IoT or apps, suggesting an unmet need for IoT and apps in specific areas.
This study aimed to clarify the current situation of working women and their use of IoT or apps to manage their health.
A large-scale, nationwide internet survey was conducted among 10,000 female participants aged from 20 years to 64 years in Japan. Participants were recruited from a marketing research company\'s active survey panel of 5.24 million members. The survey included questions about health status, sociodemographic factors, psychological characteristics, and the use of IoT or apps for health management. We compared perceived health status and reasons for current IoT use using t tests and assessed participant characteristics that predicted IoT use using the C5.0 decision tree algorithm. Ethical approval was granted by St. Luke\'s International University.
Among participants, 14.6% (1455/10,000) currently used IoT or apps, 7% (695/10,000) used them previously, and 78.5% (7850/10,000) had never used them. Current users (42.7 years old) were older than past users (39.7 years old). Discrepancies were observed between participants\' perceived health problems and the purpose for using IoT or apps, with 21.3% (2130/10,000) of all women reporting they experienced menstrual symptoms or disorders but only 3.5% (347/10,000) used IoT or apps to manage the same symptom. On the other hand, current users were more likely to use IoT or apps to manage nutrition-related problems such as underweight or obesity (405/1455, 27.8%). Device use was highest among current users, with 87.3% (1270/1455) using smartphones, 19.7% (287/1455) using smartwatches, and 13.3% (194/1455) using PCs. Decision tree analysis identified 6 clusters, the largest consisting of 81.6% (5323/6523) of non-IoT users who did not exercise regularly, while pregnant women were more likely to use IoT or apps.
Our findings highlight the idea that woman with particular health problems (ie, menstrual symptoms or disorders and premenstrual syndrome) have lower use of IoT or apps, suggesting an unmet need for IoT and apps in specific areas.
摘要：
背景：人口变化和低出生率导致日本劳动力短缺。为了解决这个问题，政府促进女性就业。然而,女性就业的增加会影响女性的健康。使用物联网（IoT）和应用程序来管理女性的健康已经受到关注，但是很少有研究关注职业女性。
目的：本研究旨在阐明职业女性的现状及其使用物联网或应用程序来管理健康。
方法：大规模，在日本，对10,000名年龄从20岁到64岁的女性参与者进行了全国性的互联网调查。参与者是从一家市场研究公司的活跃调查小组招募的524万名成员。调查包括有关健康状况的问题，社会人口因素，心理特征,以及使用IoT或应用程序进行健康管理。我们使用t检验比较了感知的健康状况和当前物联网使用的原因，并使用C5.0决策树算法评估了预测物联网使用的参与者特征。道德批准由圣卢克国际大学授予。
结果：在参与者中，14.6%（1455/10000）目前使用物联网或应用程序，7%(695/10000)以前使用过它们，78.5%(7850/10000)从未使用过。当前用户（42.7岁）比过去用户（39.7岁）大。观察到参与者感知到的健康问题与使用物联网或应用程序的目的之间存在差异，21.3%(2130/10,000)的女性报告她们经历了月经症状或紊乱，但只有3.5%(347/10,000)的女性使用物联网或应用程序来管理相同的症状。另一方面,当前用户更有可能使用物联网或应用程序来管理与营养相关的问题，例如体重不足或肥胖（405/1455，27.8%）。设备使用率在当前用户中最高，87.3%(1270/1455)使用智能手机，19.7%（287/1455）使用智能手表，和13.3%（194/1455）使用PC。决策树分析确定了6个集群，其中81.6%(5323/6523)的非物联网用户没有定期锻炼，而孕妇更有可能使用物联网或应用程序。
结论：我们的发现强调了有特殊健康问题的女性（即，月经症状或紊乱和经前期综合征)使用物联网或应用程序较少，这表明在特定领域对物联网和应用程序的需求尚未满足。
目的：本研究旨在阐明职业女性的现状及其使用物联网或应用程序来管理健康。
方法：大规模，在日本，对10,000名年龄从20岁到64岁的女性参与者进行了全国性的互联网调查。参与者是从一家市场研究公司的活跃调查小组招募的524万名成员。调查包括有关健康状况的问题，社会人口因素，心理特征,以及使用IoT或应用程序进行健康管理。我们使用t检验比较了感知的健康状况和当前物联网使用的原因，并使用C5.0决策树算法评估了预测物联网使用的参与者特征。道德批准由圣卢克国际大学授予。
结果：在参与者中，14.6%（1455/10000）目前使用物联网或应用程序，7%(695/10000)以前使用过它们，78.5%(7850/10000)从未使用过。当前用户（42.7岁）比过去用户（39.7岁）大。观察到参与者感知到的健康问题与使用物联网或应用程序的目的之间存在差异，21.3%(2130/10,000)的女性报告她们经历了月经症状或紊乱，但只有3.5%(347/10,000)的女性使用物联网或应用程序来管理相同的症状。另一方面,当前用户更有可能使用物联网或应用程序来管理与营养相关的问题，例如体重不足或肥胖（405/1455，27.8%）。设备使用率在当前用户中最高，87.3%(1270/1455)使用智能手机，19.7%（287/1455）使用智能手表，和13.3%（194/1455）使用PC。决策树分析确定了6个集群，其中81.6%(5323/6523)的非物联网用户没有定期锻炼，而孕妇更有可能使用物联网或应用程序。
结论：我们的发现强调了有特殊健康问题的女性（即，月经症状或紊乱和经前期综合征)使用物联网或应用程序较少，这表明在特定领域对物联网和应用程序的需求尚未满足。
