{"doi":"10.1093/eurjpc/zwac239","title":"Setting your clock: associations between timing of objective physical activity and cardiovascular disease risk in the general population","abstract":"<jats:title>Abstract</jats:title>\n               <jats:sec>\n                  <jats:title>Aims</jats:title>\n                  <jats:p>Little is known about the impact of daily physical activity timing (here referred to as ‘chronoactivity’) on cardiovascular disease (CVD) risk. We aimed to examined the associations between chronoactivity and multiple CVD outcomes in the UK Biobank.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Methods and results</jats:title>\n                  <jats:p>physical activity data were collected in the UK-Biobank through triaxial accelerometer over a 7-day measurement period. We used K-means clustering to create clusters of participants with similar chronoactivity irrespective of the mean daily intensity of the physical activity. Multivariable-adjusted Cox-proportional hazard models were used to estimate hazard ratios (HRs) comparing the different clusters adjusted for age and sex (model 1), and baseline cardiovascular risk factors (model 2). Additional stratified analyses were done by sex, mean activity level, and self-reported sleep chronotype. We included 86 657 individuals (58% female, mean age: 61.6 [SD: 7.8] years, mean BMI: 26.6 [4.5] kg/m2). Over a follow-up period of 6 years, 3707 incident CVD events were reported. Overall, participants with a tendency of late morning physical activity had a lower risk of incident coronary artery disease (HR: 0.84, 95%CI: 0.77, 0.92) and stroke (HR: 0.83, 95%CI: 0.70, 0.98) compared to participants with a midday pattern of physical activity. These effects were more pronounced in women (P-value for interaction = 0.001). We did not find evidence favouring effect modification by total activity level and sleep chronotype.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion</jats:title>\n                  <jats:p>Irrespective of total physical activity, morning physical activity was associated with lower risks of incident cardiovascular diseases, highlighting the potential importance of chronoactivity in CVD prevention.</jats:p>\n               </jats:sec>","journal":"European Journal of Preventive Cardiology","year":2023,"id":611245,"datarank":0.6732954554598211,"base_score":4.48863636973214,"endowment":4.48863636973214,"self_citation_contribution":0.6732954554598211,"citation_network_contribution":0.0,"self_endowment_contribution":0.6732954554598211,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":88,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":8,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1573005,"name":"Marjon Stijntjes","orcid":null,"position":1,"is_corresponding":false},{"id":1573006,"name":"David van Bodegom","orcid":null,"position":2,"is_corresponding":false},{"id":1552683,"name":"J Wouter Jukema","orcid":null,"position":3,"is_corresponding":false},{"id":1573007,"name":"Douwe E Atsma","orcid":null,"position":4,"is_corresponding":false},{"id":21842,"name":"Diana van Heemst","orcid":null,"position":5,"is_corresponding":false},{"id":17005,"name":"Raymond Noordam","orcid":"0000-0001-7801-809X","position":6,"is_corresponding":false},{"id":1573004,"name":"Gali Albalak","orcid":"0000-0003-4133-5328","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Setting your clock: associations between timing of objective physical activity and cardiovascular disease risk in the general population","abstract":"<jats:title>Abstract</jats:title>\n               <jats:sec>\n                  <jats:title>Aims</jats:title>\n                  <jats:p>Little is known about the impact of daily physical activity timing (here referred to as ‘chronoactivity’) on cardiovascular disease (CVD) risk. We aimed to examined the associations between chronoactivity and multiple CVD outcomes in the UK Biobank.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Methods and results</jats:title>\n                  <jats:p>physical activity data were collected in the UK-Biobank through triaxial accelerometer over a 7-day measurement period. We used K-means clustering to create clusters of participants with similar chronoactivity irrespective of the mean daily intensity of the physical activity. Multivariable-adjusted Cox-proportional hazard models were used to estimate hazard ratios (HRs) comparing the different clusters adjusted for age and sex (model 1), and baseline cardiovascular risk factors (model 2). Additional stratified analyses were done by sex, mean activity level, and self-reported sleep chronotype. We included 86 657 individuals (58% female, mean age: 61.6 [SD: 7.8] years, mean BMI: 26.6 [4.5] kg/m2). Over a follow-up period of 6 years, 3707 incident CVD events were reported. Overall, participants with a tendency of late morning physical activity had a lower risk of incident coronary artery disease (HR: 0.84, 95%CI: 0.77, 0.92) and stroke (HR: 0.83, 95%CI: 0.70, 0.98) compared to participants with a midday pattern of physical activity. These effects were more pronounced in women (P-value for interaction = 0.001). We did not find evidence favouring effect modification by total activity level and sleep chronotype.</jats:p>\n               </jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion</jats:title>\n                  <jats:p>Irrespective of total physical activity, morning physical activity was associated with lower risks of incident cardiovascular diseases, highlighting the potential importance of chronoactivity in CVD prevention.</jats:p>\n               </jats:sec>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":8,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"36372091","pmcid":null,"openalex_id":null,"authors":[],"funders":[{"funder_name":"Dutch Heart Foundation","grant_id":"2019T103","title":null},{"funder_name":"Medical Research Council","grant_id":"MC_QA137853","title":null},{"funder_name":"Medical Research Council","grant_id":"MC_PC_17228","title":null},{"funder_name":"an innovation","grant_id":"","title":null},{"funder_name":"Dutch Research Council (NWO)","grant_id":"","title":null}],"total_grants":5,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"hybrid","license":"cc-by-nc","oa_locations":[{"url":"https://academic.oup.com/eurjpc/advance-article-pdf/doi/10.1093/eurjpc/zwac239/46901894/zwac239.pdf","host_type":"publisher"},{"url":"https://academic.oup.com/eurjpc/article-pdf/30/3/232/49178866/zwac239.pdf","host_type":"publisher"},{"url":"http://hdl.handle.net/1887/3514649","host_type":"repository"},{"url":"https://hdl.handle.net/1887/3514649","host_type":"repository"}],"fields_of_study":[],"mesh_terms":["Humans","Cardiovascular Diseases","Exercise","Risk Factors","Middle Aged","Female","Male","Stroke","Self Report"],"keywords":["Patterns","Stroke","coronary artery disease","Physical Activity","Chronoactivity"],"sdg_mappings":[],"linked_datasets":[{"doi":"10.6084/m9.figshare.25406010.v1","title":"Additional file 1 of Deep learning of movement behavior profiles and their association with markers of cardiometabolic health","publisher":"figshare","resource_type":"JournalArticle"},{"doi":"10.6084/m9.figshare.25406010","title":"Additional file 1 of Deep learning of movement behavior profiles and their association with markers of cardiometabolic health","publisher":"figshare","resource_type":"JournalArticle"},{"doi":"10.6084/m9.figshare.26614261.v1","title":"Additional file 1 of Association between circadian physical activity patterns and mortality in the UK Biobank","publisher":"figshare","resource_type":"JournalArticle"},{"doi":"10.6084/m9.figshare.26614261","title":"Additional file 1 of Association between circadian physical activity patterns and mortality in the UK Biobank","publisher":"figshare","resource_type":"JournalArticle"},{"doi":"10.6084/m9.figshare.26683420.v1","title":"Additional file 1 of Unravelling upright events: a descriptive epidemiology of the behavioural composition and temporal distribution of upright events in participants from the 1970 British Cohort Study","publisher":"figshare","resource_type":"JournalArticle"},{"doi":"10.6084/m9.figshare.26683420","title":"Additional file 1 of Unravelling upright events: a descriptive epidemiology of the behavioural composition and temporal distribution of upright events in participants from the 1970 British Cohort Study","publisher":"figshare","resource_type":"JournalArticle"},{"doi":"10.6084/m9.figshare.26683423.v1","title":"Additional file 2 of Unravelling upright events: a descriptive epidemiology of the behavioural composition and temporal distribution of upright events in participants from the 1970 British Cohort Study","publisher":"figshare","resource_type":"JournalArticle"},{"doi":"10.6084/m9.figshare.26683423","title":"Additional file 2 of Unravelling upright events: a descriptive epidemiology of the behavioural composition and temporal distribution of upright events in participants from the 1970 British Cohort Study","publisher":"figshare","resource_type":"JournalArticle"}],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-01T17:16:01.901790Z","pmid":null,"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":[]}