Michael DeDonno, Bella-Christina Objio, Alexis Crowder
{"title":"可观察但不可观察的健康数字与自述健康状况相关:Nhanes 2017-2020.","authors":"Michael DeDonno, Bella-Christina Objio, Alexis Crowder","doi":"10.1177/15598276241291451","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Present study explored the influence of self-reported health on diff between observable and unobservable health factors.</p><p><strong>Method: </strong>Data obtained through the 2017-2020 pre-pandemic dataset of the National Health and Nutrition Examination Survey (NHANES). A series of analyses of covariance were conducted with self-reported health as the independent variable, and measures of blood pressure, waist-to-hip ratio, fasting glucose and total cholesterol as dependent variables. Family income served as a covariate.</p><p><strong>Results: </strong>Results revealed significant differences in self-reported health and blood pressure, waist-to-hip ratio, and fasting glucose. Individuals who rated their health excellent or very good tended to have better health numbers than those who rated their health as fair or poor. No statistically significant difference was found with self-reported health and cholesterol.</p><p><strong>Conclusion: </strong>It is possible that health numbers that can be observed (or assessed) at home, without a health care professional, may be more aligned with how individuals perceive their own health. Health care professionals may want to further help patients recognize their own health status. The use of wearable technologies may provide added health information resulting in more accurate perception of health. A more accurate perception of a patient's own health may aid health care professionals in further improving patient care.</p>","PeriodicalId":47480,"journal":{"name":"American Journal of Lifestyle Medicine","volume":" ","pages":"15598276241291451"},"PeriodicalIF":1.5000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11556545/pdf/","citationCount":"0","resultStr":"{\"title\":\"Observable, but Not Unobservable Health Numbers are Associated With Self-Reported Health: NHANES 2017-2020.\",\"authors\":\"Michael DeDonno, Bella-Christina Objio, Alexis Crowder\",\"doi\":\"10.1177/15598276241291451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Present study explored the influence of self-reported health on diff between observable and unobservable health factors.</p><p><strong>Method: </strong>Data obtained through the 2017-2020 pre-pandemic dataset of the National Health and Nutrition Examination Survey (NHANES). A series of analyses of covariance were conducted with self-reported health as the independent variable, and measures of blood pressure, waist-to-hip ratio, fasting glucose and total cholesterol as dependent variables. Family income served as a covariate.</p><p><strong>Results: </strong>Results revealed significant differences in self-reported health and blood pressure, waist-to-hip ratio, and fasting glucose. Individuals who rated their health excellent or very good tended to have better health numbers than those who rated their health as fair or poor. No statistically significant difference was found with self-reported health and cholesterol.</p><p><strong>Conclusion: </strong>It is possible that health numbers that can be observed (or assessed) at home, without a health care professional, may be more aligned with how individuals perceive their own health. Health care professionals may want to further help patients recognize their own health status. The use of wearable technologies may provide added health information resulting in more accurate perception of health. A more accurate perception of a patient's own health may aid health care professionals in further improving patient care.</p>\",\"PeriodicalId\":47480,\"journal\":{\"name\":\"American Journal of Lifestyle Medicine\",\"volume\":\" \",\"pages\":\"15598276241291451\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11556545/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Lifestyle Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/15598276241291451\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Lifestyle Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/15598276241291451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Observable, but Not Unobservable Health Numbers are Associated With Self-Reported Health: NHANES 2017-2020.
Objective: Present study explored the influence of self-reported health on diff between observable and unobservable health factors.
Method: Data obtained through the 2017-2020 pre-pandemic dataset of the National Health and Nutrition Examination Survey (NHANES). A series of analyses of covariance were conducted with self-reported health as the independent variable, and measures of blood pressure, waist-to-hip ratio, fasting glucose and total cholesterol as dependent variables. Family income served as a covariate.
Results: Results revealed significant differences in self-reported health and blood pressure, waist-to-hip ratio, and fasting glucose. Individuals who rated their health excellent or very good tended to have better health numbers than those who rated their health as fair or poor. No statistically significant difference was found with self-reported health and cholesterol.
Conclusion: It is possible that health numbers that can be observed (or assessed) at home, without a health care professional, may be more aligned with how individuals perceive their own health. Health care professionals may want to further help patients recognize their own health status. The use of wearable technologies may provide added health information resulting in more accurate perception of health. A more accurate perception of a patient's own health may aid health care professionals in further improving patient care.