Matthew S Farmer, Kimberly R Powell, Anne Sales, Lori L Popejoy, Blaine Reeder
{"title":"美国各县宽带互联网采用与自我报告的糖尿病患病率之间的关系","authors":"Matthew S Farmer, Kimberly R Powell, Anne Sales, Lori L Popejoy, Blaine Reeder","doi":"10.1097/CIN.0000000000001355","DOIUrl":null,"url":null,"abstract":"<p><p>The Internet provides many populations access to virtual health services, social resources, and health education. It is not understood how lack of household Internet adoption impacts the risk of negative health outcomes. Our study aimed to examine the relationship between Internet adoption and self-reported diabetes prevalence in US counties, while controlling for social determinants of health. This cross-sectional, retrospective study used US national county-level data obtained from the 2021 American Communities Survey and the 2021 Behavioral Risk Factors Surveillance System. Analysis included descriptive statistics, two-stage linear regression, and machine learning. A total of 3076 counties were analyzed. The results show that, in 2021, Internet adoption had a significant inverse relationship (β = -.20, P < .001) with diabetes prevalence in US counties while controlling for other social determinants of health. The results suggest that as household Internet adoption rates increase, diabetes prevalence decreases, at the county level. The relationships between social characteristics, Internet adoption, and health behaviors on diabetes prevalence in US counties warrant future research including individual-level validation and integration of health behaviors related to diabetes risk. These findings provide evidence of Internet adoption as a social determinant of health.</p>","PeriodicalId":520598,"journal":{"name":"Computers, informatics, nursing : CIN","volume":" ","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Relationship Between Broadband Internet Adoption and Self-reported Diabetes Prevalence in US Counties.\",\"authors\":\"Matthew S Farmer, Kimberly R Powell, Anne Sales, Lori L Popejoy, Blaine Reeder\",\"doi\":\"10.1097/CIN.0000000000001355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Internet provides many populations access to virtual health services, social resources, and health education. It is not understood how lack of household Internet adoption impacts the risk of negative health outcomes. Our study aimed to examine the relationship between Internet adoption and self-reported diabetes prevalence in US counties, while controlling for social determinants of health. This cross-sectional, retrospective study used US national county-level data obtained from the 2021 American Communities Survey and the 2021 Behavioral Risk Factors Surveillance System. Analysis included descriptive statistics, two-stage linear regression, and machine learning. A total of 3076 counties were analyzed. The results show that, in 2021, Internet adoption had a significant inverse relationship (β = -.20, P < .001) with diabetes prevalence in US counties while controlling for other social determinants of health. The results suggest that as household Internet adoption rates increase, diabetes prevalence decreases, at the county level. The relationships between social characteristics, Internet adoption, and health behaviors on diabetes prevalence in US counties warrant future research including individual-level validation and integration of health behaviors related to diabetes risk. These findings provide evidence of Internet adoption as a social determinant of health.</p>\",\"PeriodicalId\":520598,\"journal\":{\"name\":\"Computers, informatics, nursing : CIN\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers, informatics, nursing : CIN\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/CIN.0000000000001355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers, informatics, nursing : CIN","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/CIN.0000000000001355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
互联网为许多人提供了获取虚拟卫生服务、社会资源和卫生教育的途径。目前尚不清楚缺乏家庭互联网采用如何影响负面健康结果的风险。我们的研究目的是在控制健康的社会决定因素的同时,检验美国各县互联网采用与自我报告的糖尿病患病率之间的关系。这项横断面、回顾性研究使用了从2021年美国社区调查和2021年行为风险因素监测系统获得的美国国家县级数据。分析包括描述性统计、两阶段线性回归和机器学习。总共分析了3076个县。结果表明,在2021年,互联网采用率呈显著的反比关系(β = -)。20, P < 0.001)与美国各县的糖尿病患病率有关,同时控制了其他健康社会决定因素。结果表明,随着家庭互联网采用率的提高,糖尿病患病率在县一级下降。美国各县社会特征、互联网采用和健康行为对糖尿病患病率的关系值得进一步研究,包括个体层面的验证和整合与糖尿病风险相关的健康行为。这些发现为互联网的采用是健康的社会决定因素提供了证据。
The Relationship Between Broadband Internet Adoption and Self-reported Diabetes Prevalence in US Counties.
The Internet provides many populations access to virtual health services, social resources, and health education. It is not understood how lack of household Internet adoption impacts the risk of negative health outcomes. Our study aimed to examine the relationship between Internet adoption and self-reported diabetes prevalence in US counties, while controlling for social determinants of health. This cross-sectional, retrospective study used US national county-level data obtained from the 2021 American Communities Survey and the 2021 Behavioral Risk Factors Surveillance System. Analysis included descriptive statistics, two-stage linear regression, and machine learning. A total of 3076 counties were analyzed. The results show that, in 2021, Internet adoption had a significant inverse relationship (β = -.20, P < .001) with diabetes prevalence in US counties while controlling for other social determinants of health. The results suggest that as household Internet adoption rates increase, diabetes prevalence decreases, at the county level. The relationships between social characteristics, Internet adoption, and health behaviors on diabetes prevalence in US counties warrant future research including individual-level validation and integration of health behaviors related to diabetes risk. These findings provide evidence of Internet adoption as a social determinant of health.