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    <identifier>10.57760/sciencedb.26493</identifier>
    <datestamp>2025-06-23T08:34:12Z</datestamp>
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  <dc:date>2025-06-23</dc:date>
  <dc:title>Motivation and Physical Activity across Chinese Adolescents: Based on Latent Profile Analysis</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.26493</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Despite known links between motivation and physical activity, latent profiles of motivation among Chinese adolescents remain unexamined. Using the person-centered approach, this paper explores the relationship between adolescent motivation and physical activity.&amp;nbsp;We aim to identify the latent motivation profiles and examine how these profiles differential predict physical activity (PA) levels, with attention to gender and age variations.&amp;nbsp;This study recruited 571 adolescents (M&amp;nbsp;age&amp;nbsp;= 11.995, SD&amp;nbsp;= 1.519)&amp;nbsp;in southern China by the scale of Sport Motivation Scale and International Physical Activity Questionnaire-Short Form. We conducted latent profile analysis (LPA) to classify motivation subgroups using Mplus. MANOVA and ANOVA were employed to compare PA differences across profiles, genders, and education levels.&amp;nbsp;The results indicate that three profile model is the optimal model:&amp;nbsp;Low Motivation-High Amotivation (8.45%), Moderate Motivation-High Amotivation (60.61%), and High Autonomous Motivation (30.94%). The subgroup with higher scores of intrinsic motivation and external motivation reported more PA. Moreover, male&amp;rsquo;s&amp;nbsp;PA&amp;nbsp;is significantly more active&amp;nbsp;than female adolescents, while older adolescents have less PA&amp;nbsp;than younger adolescents. This study identified adolescents with different motivation profiles and PA. Findings suggest the need for more personalized strategies to promote adolescent participation in PA&amp;nbsp;and provide a novel insight into intervention for adolescents with low motivation. Further research could be measured by objective methods and long-term design.</dc:description>
  <dc:subject>motivation; physical activity; latent profile analysis; adolescent</dc:subject>
  <dc:creator>ying zhao</dc:creator>
  <dc:creator>wei zheng</dc:creator>
  <dc:creator>qinghua wu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1371/journal.pone.0328383</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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