<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yu EA</submitter><funding>NIGMS NIH HHS</funding><funding>CDC HHS</funding><pagination>1711-1719</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11674580</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>48(12)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Cardiometabolic diseases are risk factors for COVID-19 severity. The extent that cardiometabolic health represents a modifiable factor to mitigate the short- and long-term consequences from SARS-CoV-2 remains unclear. Our objective was to evaluate the associations between intraindividual variability of cardiometabolic health indicators and COVID-19 related hospitalizations and post-COVID conditions (PCC) among a relatively healthy population.&lt;h4>Methods&lt;/h4>This retrospective, multi-site cohort study was a post-hoc analysis among individuals with cardiometabolic health data collected during routine blood donation visits in 24 US states (2009-2018) and who responded to COVID-19 questionnaires (2021-2023). Intraindividual variability of blood pressure (systolic, diastolic), total circulating cholesterol, and body mass index (BMI) were defined as the coefficient of variation (CV) across all available donation timepoints (ranging from 3 to 74); participants were categorized into CV quartiles. Associations were evaluated by multivariable binomial regressions.&lt;h4>Results&lt;/h4>Overall, 3344 participants provided 42,090 donations (median 9 [IQR 5, 17]). The median age was 48 years (38, 56) at the first study donation. 1.2% (N = 40) were hospitalized due to COVID-19 and 15.5% (N = 519) had PCC. Higher BMI variability was associated with greater risk of COVID-19 hospitalization (4th quartile aRR 4.15 [95% CI 1.31, 13.11], p = 0.02; 3rd quartile aRR 3.41 [95% CI 1.09, 10.69], p = 0.04). Participants with higher variability of BMI had greater risk of PCC (4th quartile aRR 1.29 [95% CI 1.02, 1.64]; p = 0.04). Intraindividual variability of blood pressure (systolic, diastolic) and total circulating cholesterol were not associated with COVID-19 hospitalization or PCC risk (all p > 0.05). From causal mediation analysis, the association between the highest quartiles of BMI variability and PCC was not mediated by hospitalization (p > 0.05).&lt;h4>Conclusions&lt;/h4>Higher intraindividual variability of BMI was associated with COVID-19 hospitalization and PCC risk. Our findings underscore the need for further elucidating mechanisms that explain these associations and importance for consistent maintenance of body weight.</pubmed_abstract><journal>International journal of obesity (2005)</journal><pubmed_title>Higher intraindividual variability of body mass index is associated with elevated risk of COVID-19 related hospitalization and post-COVID conditions.</pubmed_title><pmcid>PMC11674580</pmcid><funding_grant_id>75D30120C08170</funding_grant_id><funding_grant_id>R25 GM143298</funding_grant_id><pubmed_authors>Custer B</pubmed_authors><pubmed_authors>Bravo MD</pubmed_authors><pubmed_authors>Bruhn RL</pubmed_authors><pubmed_authors>Busch MP</pubmed_authors><pubmed_authors>Avelino-Silva VI</pubmed_authors><pubmed_authors>Yu EA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Higher intraindividual variability of body mass index is associated with elevated risk of COVID-19 related hospitalization and post-COVID conditions.</name><description>&lt;h4>Background&lt;/h4>Cardiometabolic diseases are risk factors for COVID-19 severity. The extent that cardiometabolic health represents a modifiable factor to mitigate the short- and long-term consequences from SARS-CoV-2 remains unclear. Our objective was to evaluate the associations between intraindividual variability of cardiometabolic health indicators and COVID-19 related hospitalizations and post-COVID conditions (PCC) among a relatively healthy population.&lt;h4>Methods&lt;/h4>This retrospective, multi-site cohort study was a post-hoc analysis among individuals with cardiometabolic health data collected during routine blood donation visits in 24 US states (2009-2018) and who responded to COVID-19 questionnaires (2021-2023). Intraindividual variability of blood pressure (systolic, diastolic), total circulating cholesterol, and body mass index (BMI) were defined as the coefficient of variation (CV) across all available donation timepoints (ranging from 3 to 74); participants were categorized into CV quartiles. Associations were evaluated by multivariable binomial regressions.&lt;h4>Results&lt;/h4>Overall, 3344 participants provided 42,090 donations (median 9 [IQR 5, 17]). The median age was 48 years (38, 56) at the first study donation. 1.2% (N = 40) were hospitalized due to COVID-19 and 15.5% (N = 519) had PCC. Higher BMI variability was associated with greater risk of COVID-19 hospitalization (4th quartile aRR 4.15 [95% CI 1.31, 13.11], p = 0.02; 3rd quartile aRR 3.41 [95% CI 1.09, 10.69], p = 0.04). Participants with higher variability of BMI had greater risk of PCC (4th quartile aRR 1.29 [95% CI 1.02, 1.64]; p = 0.04). Intraindividual variability of blood pressure (systolic, diastolic) and total circulating cholesterol were not associated with COVID-19 hospitalization or PCC risk (all p > 0.05). From causal mediation analysis, the association between the highest quartiles of BMI variability and PCC was not mediated by hospitalization (p > 0.05).&lt;h4>Conclusions&lt;/h4>Higher intraindividual variability of BMI was associated with COVID-19 hospitalization and PCC risk. Our findings underscore the need for further elucidating mechanisms that explain these associations and importance for consistent maintenance of body weight.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Dec</publication><modification>2025-07-11T03:03:48.877Z</modification><creation>2025-04-04T02:14:25.147Z</creation></dates><accession>S-EPMC11674580</accession><cross_references><pubmed>39134693</pubmed><doi>10.1038/s41366-024-01603-6</doi></cross_references></HashMap>