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Using growth mixture modeling (GMM), three groups were identified: low (mean = 0.89\u00a0h\/day, 23%), average (mean = 2.96\u00a0h\/day, 56%), and high (mean = 6.42\u00a0h\/day, 21%) screen time trajectory groups. At age 5.5, physical activity was directly assessed using accelerometers to capture light, moderate, and vigorous-intensity physical activity. Parents also reported child sex, family configuration, and educational attainment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Children in the high screen time trajectory group engaged in significantly less light-intensity physical activity (\n                      <jats:italic toggle=\"yes\">b<\/jats:italic>\n                      = \u221229.98,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; .05) compared to children in the average screen time trajectory. No significant differences were observed between the low and average screen time trajectory groups for light-intensity physical activity. Additionally, no significant differences in moderate or vigorous-intensity physical activity were observed between the screen time trajectory groups.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Higher screen time in preschoolers is associated with reduced engagement in light-intensity physical activity. These findings highlight the importance of monitoring screen time to ensure that children have opportunities to engage in light-intensity physical activities such as active and outdoor play. Limiting early childhood screen time may support healthier physical activity patterns and promote early childhood development.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/08901171251379431","type":"journal-article","created":{"date-parts":[[2025,9,13]],"date-time":"2025-09-13T11:36:24Z","timestamp":1757763384000},"page":"321-329","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Prospective Associations Between Early Childhood Screen Time Trajectories During the COVID-19 Pandemic and Accelerometer-Measured Physical Activity by Age 5"],"prefix":"10.1177","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-2343-1271","authenticated-orcid":false,"given":"Rachel","family":"Surprenant","sequence":"first","affiliation":[{"name":"Universit\u00e9 de Sherbrooke"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daphn\u00e9e","family":"Leroux-Maurais","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Sherbrooke"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Bezeau","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Sherbrooke"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F\u00e9lix","family":"Berrigan","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Sherbrooke"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J\u00e9r\u00f4me","family":"Leriche","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Sherbrooke"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9439-042X","authenticated-orcid":false,"given":"Caroline","family":"Fitzpatrick","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Sherbrooke"},{"name":"University of Johannesburg"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,9,13]]},"reference":[{"issue":"9","key":"e_1_3_7_2_2","first-page":"e29500","article-title":"Early childhood development and social determinants","volume":"14","author":"Likhar A","year":"2022","unstructured":"Likhar A, Baghel P, Patil M. 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