{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:27:36Z","timestamp":1792787256973,"version":"4.5.0"},"reference-count":52,"publisher":"BMJ","issue":"18","funder":[{"name":"National Health and Medical Research Council","award":["APP1194510"],"award-info":[{"award-number":["APP1194510"]}],"id":[{"id":"https:\/\/ror.org\/011kf5r70","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["Br J Sports Med"],"accepted":{"date-parts":[[2026,7,16]]},"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Understanding the joint role of stepping intensity and step counts could inform pragmatic step-based physical activity strategies for premature mortality prevention. We examined the joint association of stepping intensity and daily step counts with all-cause mortality (ACM) and cardiovascular disease (CVD) mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This prospective cohort study included the UK Biobank wrist-worn accelerometers subsample. We used peak 30-min cadence (PK30), the average steps\/minute during the highest but not necessarily consecutive 30\u2009minutes of the day, as a stepping intensity metric. We categorised daily steps into less than 5000, 5000\u20137500, 7500\u201310 000, above 10\u2009000 steps\/day group. We examined the multivariable-adjusted dose\u2013response associations of PK30 and step counts with ACM\/CVD mortality using Cox proportional and Fine and Gray subdistribution hazard models, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>ACM analyses included 64\u2009743 participants (mean age 61.5 (SD 7.8) years; female 37 497; 1697 events). Compared with the reference (fifth PK30 percentile and &lt;5000 steps\/day), both the &lt;5000\u2009and 5000\u20137500\u2009steps\/day groups showed a beneficial linear PK30\u2013ACM risk association. Substantially lower ACM risk was observed at higher PK30 in the &lt;5000 steps\/day group (eg, 80 steps\/min: HR 0.72 (95% CI 0.54 to 0.97)) and lower PK30 in the 5000\u20137500\u2009group (eg, 60 steps\/min: HR 0.70 (0.58 to 0.86)). Among all groups, 7500\u201310\u2009000\u2009steps\/day had the lowest ACM risk, with a U-shaped pattern and the lowest risk was observed at approximately 100 steps\/min (0.57 (0.47 to 0.69)). Higher PK30 was associated with lower ACM at 90 steps\/min across all step-groups (eg, &lt;5000 steps\/day, 0.64 (0.32 to 1.32); above 10 000, 0.71 (0.59 to 0.87)). The CVD mortality results demonstrated similar dose\u2013response patterns to those of ACM.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Premature ACM\/CVD mortality might be prevented through different combinations of stepping intensity and step counts.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bjsports-2025-111173","type":"journal-article","created":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T23:50:11Z","timestamp":1788911411000},"page":"1401-1408","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Combinations of stepping intensity and daily step counts against all-cause and cardiovascular disease mortality: insights from a device-based prospective study"],"prefix":"10.1136","volume":"60","author":[{"given":"Le","family":"Wei","sequence":"first","affiliation":[{"name":"School of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia"},{"name":"Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3115-338X","authenticated-orcid":false,"given":"Matthew N","family":"Ahmadi","sequence":"additional","affiliation":[{"name":"School of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia"},{"name":"Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia"},{"name":"Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia"},{"name":"Victorian Heart Institute, Monash University, Melbourne, Victoria, 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