{"doi":"10.1101/2024.02.12.24302697","title":"Body mass index changes and their association with SARS-CoV-2 infection: a real-world analysis","abstract":"ABSTRACT Objective To study body mass index (BMI) changes among individuals aged 18-99 years with and without SARS-CoV-2 infection. Subjects/Methods Using real-world data from the One Florida+ Clinical Research Network of the National Patient-Centered Clinical Research Network, we compared changes over time in BMI in an Exposed cohort (positive SARS-CoV-2 test between March 2020 – January 2022), to a contemporary Unexposed cohort (negative SARS-CoV-2 tests), and an age/sex-matched Historical control cohort (March 2018 – January 2020). Body mass index (kg/m 2 ) was retrieved from objective measures of height and weight in electronic health records. We used target trial approaches to estimate BMI at baseline and change per 100 days of follow-up for Unexposed and Historical cohorts relative to the Exposed cohort by categories of sex, race-ethnicity, age, and hospitalization status. Results The study sample consisted of 44,436 (Exposed cohort), 164,118 (Unexposed cohort), and 41,189 (Historical cohort). Cumulatively, 62% were women, 21.5% Non-Hispanic Black, 21.4% Hispanic and 5.6% Non-Hispanic Other. Patients had an average age of 51.9 years (SD: 18.9). At baseline, relative to the Exposed cohort (mean BMI: 29.3 kg/m 2 [95%CI: 29.0, 29.7]), the Unexposed (–0.07 kg/m 2 [95%CI; –0.12, –0.01]) and Historical controls (–0.27 kg/m 2 [95%CI; – 0.34, –0.20]) had lower BMI. Relative to no change in the Exposed over 100 days (0.00 kg/m 2 [95%CI; –0.03,0.03]), the BMI of those Unexposed decreased (–0.04 kg/m 2 [95%CI; –0.06, – 0.01]) while the Historical cohort’s BMI increased (+0.03 kg/m 2 [95%CI;0.00,0.06]). BMI changes were consistent between Exposed and Unexposed cohorts for most population groups, except at start of follow-up period among Males and those 65 years or older, and in changes over 100 days among Males and Hispanics. Conclusions In a diverse real-world cohort of adults, mean BMI of those with and without SARS-CoV2 infection varied in their trajectories. The mechanisms and implications of weight retention following SARS-CoV-2 infection remain unclear.","journal":"medRxiv","year":2024,"id":490005,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.5036,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":263949,"name":"Yi Guo","orcid":"0000-0003-0587-4105","position":1,"is_corresponding":false},{"id":22946,"name":"Mohammed K. Ali","orcid":"0000-0001-7266-2503","position":2,"is_corresponding":false},{"id":404842,"name":"William T. Donahoo","orcid":"0000-0002-2126-860X","position":3,"is_corresponding":false},{"id":427713,"name":"Rosette J. Chakkalakal","orcid":"0000-0001-9318-1856","position":4,"is_corresponding":false},{"id":878586,"name":"Jithin Sam Varghese","orcid":"0000-0003-3825-9897","position":0,"is_corresponding":true}],"reference_count":34,"raw_metadata":null,"created_at":"2026-07-19T02:08:32.775003Z","pmid":"38405934","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}