{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T16:31:33Z","timestamp":1783614693987,"version":"3.55.0"},"reference-count":58,"publisher":"Human Kinetics","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,1]]},"abstract":"<jats:p>\n                    <jats:italic>\n                      <jats:bold>Objectives<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    This study aims to evaluate the gender inequalities in accelerometer-based physical activity (PA) across different age groups using data from 5 Pelotas (Brazil) cohorts.\n                    <jats:italic>\n                      <jats:bold>Methods<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    The data come from 4 birth cohort studies, covering all live births in the urban area of Pelotas for each respective year (1982, 1993, 2004, and 2015), and the\n                    <jats:italic>Como vai?<\/jats:italic>\n                    cohort study focusing on 60\u00a0years and above. Raw accelerometry data were collected on the nondominant wrist using GENEActive\/ActiGraph devices and processed with the GGIR package. Overall PA was calculated at ages 1, 2, 4, 6, 11, 15, 18, 23, 30, and 60+ years, while moderate to vigorous PA was calculated from 6\u00a0years onward. Absolute (difference) and relative (ratio) gender inequalities were calculated and intersectionality between gender and wealth was also evaluated.\n                    <jats:italic>\n                      <jats:bold>Results<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    The sample sizes per cohort ranged from 965 to 3462 participants. The mean absolute gender gap was 19.3\u00a0minutes (95% confidence interval, 12.7\u201325.9), with the widest gap at 18\u00a0years (32.9\u00a0min; 95% confidence interval, 30.1\u201335.7) for moderate to vigorous PA. The highest relative inequality was found in older adults (ratio 2.0; 95% confidence interval, 1.92\u20132.08). Our intersectionality results showed that the poorest men being the most active group, accumulating around 60\u00a0minutes more moderate to vigorous PA per day compared with the wealthiest women at age 18.\n                    <jats:italic>\n                      <jats:bold>Conclusions<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Men were more physically active than women in all ages evaluated. PA gender inequalities start at an early age and intensify in transition periods of life. Relative inequalities were marked among older adults.\n                  <\/jats:p>","DOI":"10.1123\/jpah.2024-0018","type":"journal-article","created":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T16:11:28Z","timestamp":1729008688000},"page":"1158-1166","source":"Crossref","is-referenced-by-count":6,"title":["Gender Gap for Accelerometry-Based Physical Activity Across Different Age Groups in 5 Brazilian Cohort Studies"],"prefix":"10.1123","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1244-4501","authenticated-orcid":true,"given":"Luiza I.C.","family":"Ricardo","sequence":"first","affiliation":[{"name":"Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4640-2254","authenticated-orcid":true,"given":"Andrea","family":"Wendt","sequence":"additional","affiliation":[{"name":"Graduate Program in Health Technology, Polytechnic 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