Showing 1 - 18 results of 18 for search '(( significantly ((linear increase) OR (mean decrease)) ) OR ( significant sex decrease ))~', query time: 0.64s Refine Results
  1. 1

    Association between FF Proximity and BMI by sex. by Kimberly Yuin Y’ng Wong (22766265)

    Published 2025
    “…The overall association between FF proximity and BMI was not significant but modified by sex (p-<sub>heterogeneity</sub> <0.001). …”
  2. 2

    Data. by Aroon La-up (14095691)

    Published 2025
    “…Osteoporosis prevalence remained stable in both males and females. The Linear Mixed-Effects Model analysis revealed significant associations between BMD and several factors: increasing age, female sex, diabetes status and BMI. …”
  3. 3

    Univariate analyses. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
  4. 4

    Overview of individuals in the study. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
  5. 5

    Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
  6. 6

    Flowchart of the study population. by Gábor Szaló (22615130)

    Published 2025
    “…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …”
  7. 7

    Characteristics of study population. by Gábor Szaló (22615130)

    Published 2025
    “…Among those 803 individuals who did not take antihypertensive medication, there was a significant association in linear regression between increase in PSS-10 and decrease in C2 (B: −0.2, 95% CI: −0.4- −0.02; p = 0.03) that was lost after adjustment for physical activity (B: −0.16, 95% CI: −0.35–0.03; p = 0.1). …”
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  9. 9

    Flow chart of research object screening. by Wenyao Xie (21567889)

    Published 2025
    “…Estradiol exhibited significant non-linear relationship with ALI (P = 0.027), with multiple inflection points suggesting concentration-dependent effects.…”
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  11. 11

    Pediatric CPP with Praat and ADSV (Joshi et al., 2025) by Ashwini Joshi (21594817)

    Published 2025
    “…Age and <i>F</i>0 are significant predictors of CPP; however, the observed increase in CPP with increasing age in males is primarily due to the substantial decrease in <i>F</i>0 postpuberty. …”
  12. 12

    Data Sheet 1_Longitudinal changes in bodyweight, body condition, and muscle condition in ageing pet cats: findings from the Cat Prospective Ageing and Welfare Study.docx by Christine R. Pye (22118977)

    Published 2025
    “…All three metrics showed significant non-linear associations with age. Bodyweight increased slightly from age 7 to 10 (estimated marginal mean 4.77–4.82 kg) before decreasing to 4.30 kg by age 16 years. …”
  13. 13

    Effect of session on winning model parameters for set size = 2 and set size = 4 for both male and females. by Juliana Chase (20469427)

    Published 2024
    “…Similar to what was seen in comparisons between regression coefficients and age, there was no effect of experience on <i>α</i><sub>+</sub> (A,F) or <i>β</i> (B,G) for either sex. Use of one-back strategy parameters changed significantly across sessions for male mice with (C) S1 “Inappropriate Lose Shift” decreasing across sessions, <i>p</i> = 0.01 (D) S2 = S4 “Stimulus Insensitive Win Stay” increasing, <i>p</i> = 0.009 and (E) S3 “Inappropriate Lose Stay” decreasing, <i>p</i> < 0.0001. …”
  14. 14

    Table 1_Association between neutrophil percentage-to-albumin ratio and breast cancer in adult women in the US: findings from the NHANES.docx by Huikai Liang (21188720)

    Published 2025
    “…The significance of traits was assessed using mean decrease accuracy (MDA) and mean decrease impurity (MDI). …”
  15. 15

    Data Sheet 1_Perceived protective behavioral changes in Chinese residents post-dynamic zero-COVID policy lifting: a cross-sectional study.docx by Yuan-Yuan Song (6287387)

    Published 2024
    “…The mean scores for the two vaccination-related items were significantly greater than the hypothesized no-change value of 2 (p < 0.001). …”
  16. 16

    Supplementary Material for: Evolution of growth following anti-TNF-α therapy in paediatric Crohn’s disease: data from the Swiss IBD Cohort Study by figshare admin karger (2628495)

    Published 2025
    “…Height velocity z-scores showed a significant increase across both genders. Factors contributing to a decreased height z-score included male sex, age 10 and below at diagnosis, a concomitant corticosteroid treatment and a top-down treatment strategy. …”
  17. 17

    Table 1_Changes in self-reported alcohol consumption at high and low consumption in the wake of the COVID-19 pandemic: a test of the polarization hypothesis.docx by Alexander Tran (11038679)

    Published 2025
    “…The multivariate model was significant (F(11,1881) = 20.85, p <.00001, adjusted R<sup>2</sup> = 0.10) and showed significant year by sex interaction (p = .021) and year by occupation interaction (p = .023) on alcohol consumption.…”
  18. 18

    Data Sheet 1_Associations between obesity and arterial stiffness assessed by cardio-ankle vascular index in healthy children and adolescents.docx by Yuko Horikoshi (12202859)

    Published 2025
    “…Furthermore, multiple linear regression analyses after adjusting for possible obesity-related factors including age, sex, blood pressure, and heart rate, showed that all obesity parameters were independent predictors of CAVI.…”