biostudies-literatureUnknown12(1)Beydoun HAThe purpose of this longitudinal study is to construct a prediction model for Covid-19 level of concern using established Covid-19 socio-demographic, lifestyle and health risk characteristics and to examine specific contributions of obesity-related cardiometabolic health characteristics as predictors of Covid-19 level of concern among a representative sample of U.S. older adults. We performed secondary analyses of existing data on 2872 2006-2020 Health and Retirement Study participants and examined 19 characteristics in relation to the outcome of interest using logistic regression and machine learning algorithms. In mixed-effects ordinal logistic regression models, a history of diabetes, stroke as well as 1-2 cardiometabolic risk factors and/or chronic conditions were associated with greatScientific reports4396https://www.ebi.ac.uk/biostudies/studies/S-EPMC8921703biostudies-literaturePredictors of Covid-19 level of concern among older adults from the health and retirement study.PMC8921703Weiss JHossain SZonderman ABBeydoun MABeydoun HAGautam RSAlemu BTfalsePredictors of Covid-19 level of concern among older adults from the health and retirement study.The purpose of this longitudinal study is to construct a prediction model for Covid-19 level of concern using established Covid-19 socio-demographic, lifestyle and health risk characteristics and to examine specific contributions of obesity-related cardiometabolic health characteristics as predictors of Covid-19 level of concern among a representative sample of U.S. older adults. We performed secondary analyses of existing data on 2872 2006-2020 Health and Retirement Study participants and examined 19 characteristics in relation to the outcome of interest using logistic regression and machine learning algorithms. In mixed-effects ordinal logistic regression models, a history of diabetes, stroke as well as 1-2 cardiometabolic risk factors and/or chronic conditions were associated with great2022-01-01T00:00:00Z2022 Mar2025-04-18T13:46:15.449Z2025-02-18T23:27:13.936ZS-EPMC89217033529267210.1038/s41598-022-08332-8