Showing 1,461 - 1,480 results of 3,491 for search 'significant ((((((teer decrease) OR (greatest decrease))) OR (nn decrease))) OR (mean decrease))', query time: 0.68s Refine Results
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    Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

    Published 2025
    “…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m<sup>2</sup> (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”
  14. 1474

    Classification of hand grip strength. by Shane Naidoo (20148021)

    Published 2025
    “…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m<sup>2</sup> (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”
  15. 1475

    Rating scale for functional severity [28]. by Shane Naidoo (20148021)

    Published 2025
    “…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m<sup>2</sup> (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”
  16. 1476

    Regression model coefficients. by Shane Naidoo (20148021)

    Published 2025
    “…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m<sup>2</sup> (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”
  17. 1477

    ICOPE screening positive participant’s responses. by Shane Naidoo (20148021)

    Published 2025
    “…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m<sup>2</sup> (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”
  18. 1478

    WHO BMI classification for adults. by Shane Naidoo (20148021)

    Published 2025
    “…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m<sup>2</sup> (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”
  19. 1479

    Histogram of the extracted parameters. by Qiuyu Du (20760848)

    Published 2025
    “…No significant associations were found with long-term outcomes.…”
  20. 1480

    Summary statistics of key variables. by Saul Estrin (8629173)

    Published 2024
    “…Our results suggest the importance of addressing urban agglomeration costs as a means to facilitate innovative activity.</p></div>…”