{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,26]],"date-time":"2026-10-26T19:13:43Z","timestamp":1793042023712,"version":"4.5.0"},"reference-count":43,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2024,9,14]],"date-time":"2024-09-14T00:00:00Z","timestamp":1726272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"publisher","award":["PZ00P3_208999\/1"],"award-info":[{"award-number":["PZ00P3_208999\/1"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Lifestyle Theme of the Leicester NHR Leicester Biomedical Research Centre"},{"DOI":"10.13039\/501100000272","name":"NIHR","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Applied Research Collaborations East Midlands"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,1,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To investigate how physical activity (PA) volume, intensity, duration, and fragmentation are associated with the risk of all-cause and cardiovascular disease mortality. To produce centile curves for PA volume and intensity representative of US adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and results<\/jats:title>\n                    <jats:p>This study is based on the observational 2011\u20132014 National Health and Nutrition Examination Survey (NHANES). Adults (age, \u226520) with valid accelerometer, covariate, and mortality data were included. Average acceleration (AvAcc), intensity gradient (IG), and total PA served as proxies for volume, intensity, and duration of PA, respectively. Weighted Cox proportional hazard models estimated associations between outcome and PA metrics. In 7518 participants (52.0% women, weighted median age of 49), there were curvilinear inverse dose\u2013response relationships of all-cause mortality risk (81-month follow-up) with both AvAcc [\u221214.4% (95% CI, \u22128.3 to \u221220.1%) risk reduction from 25th to 50th percentile] and IG [\u221237.1% (95% CI, \u221230.0 to \u221243.4%) risk reduction from 25th to 50th percentile], but for cardiovascular disease (CVD) mortality risk (n = 7016, 82-month follow-up) only with IG [\u221241.0% (95% CI, \u221226.7 to \u221252.4%) risk reduction from the 25th to 50th percentile]. These relationships plateau at AvAcc: \u223c35\u201345 mg and IG: \u22122.7 to \u22122.5. Associations of PA with all-cause and cardiovascular disease mortality are primarily driven by intensity and secondary by volume. Centile curves for volume and intensity were generated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Intensity is a main driver of reduced mortality risk suggesting that the intensity of PA rather than the quantity matters for longevity. The centile curves offer guidance for achieving desirable PA levels for longevity.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/eurjpc\/zwae295","type":"journal-article","created":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T17:56:55Z","timestamp":1725818215000},"page":"10-19","source":"Crossref","is-referenced-by-count":54,"title":["Intensity or volume: the role of physical activity in longevity"],"prefix":"10.1093","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7795-1478","authenticated-orcid":false,"given":"Fabian","family":"Schwendinger","sequence":"first","affiliation":[{"name":"Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel , 4052 Basel ,","place":["Switzerland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9028-7110","authenticated-orcid":false,"given":"Denis","family":"Infanger","sequence":"additional","affiliation":[{"name":"Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel , 4052 Basel ,","place":["Switzerland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5860-9068","authenticated-orcid":false,"given":"Eric","family":"Lichtenstein","sequence":"additional","affiliation":[{"name":"Division of Movement and Exercise Science, Department of Sport, Exercise and Health, University of Basel , 4052 Basel ,","place":["Switzerland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6200-307X","authenticated-orcid":false,"given":"Timo","family":"Hinrichs","sequence":"additional","affiliation":[{"name":"Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel , 4052 Basel ,","place":["Switzerland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0244-7768","authenticated-orcid":false,"given":"Raphael","family":"Knaier","sequence":"additional","affiliation":[{"name":"Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel , 4052 Basel ,","place":["Switzerland"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1463-697X","authenticated-orcid":false,"given":"Alex V","family":"Rowlands","sequence":"additional","affiliation":[{"name":"Assessment of Movement Behaviours Group (AMBer), Diabetes Research Centre, Leicester General Hospital, University of Leicester , Gwendolen Rd, Leicester LE5 4PW ,","place":["UK"]},{"name":"National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC), University Hospitals of Leicester NHS Trust and the University of Leicester , Leicester LE5 4PW ,","place":["UK"]},{"name":"Alliance for Research in Exercise, Nutrition and Activity (ARENA), UniSA Allied Health and Human Performance, University of South Australia , Adelaide SA5001 ,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4662-3911","authenticated-orcid":false,"given":"Arno","family":"Schmidt-Trucks\u00e4ss","sequence":"additional","affiliation":[{"name":"Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel , 4052 Basel ,","place":["Switzerland"]},{"name":"Department of Clinical Research, University Hospital Basel , 4031 Basel ,","place":["Switzerland"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2024,9,14]]},"reference":[{"key":"2025010600084370500_zwae295-B1","doi-asserted-by":"crossref","first-page":"1468","DOI":"10.1136\/bjsports-2020-102621","article-title":"How can global physical activity surveillance adapt to evolving physical activity guidelines? 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