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Table 4 Relation of serum 25(OH)D concentrations with dietary pattern scores: National Health and Nutrition Examination Survey (NHANES) 2003-2006a,b

From: Association of serum vitamin D concentrations with dietary patterns in children and adolescents

HFLVD Pattern Score (n = 4404)c, d PD Pattern Score (n = 4404)c, d
  Low (<− 0.003875) Medium (− 0.003875 to 0.000925) High (> 0.000925) P- valuee Low (< 0.004175) Medium (− 0.004175 to 0.001912) High (> 0.001912) P- valuee
  ng/mL ng/mL ng/mL   ng/mL ng/mL ng/mL  
Unadjusted analysis
 All subjects (n = 4404) 27.3 ± 0.5 26.1 ± 0.6 24.8 ± 0.7 0.003 24.7 ± 0.7 26.8 ± 0.5 26.7 ± 0.6 0.012
 Boys (n = 2154) 27.4 ± 0.6 26.8 ± 0.7 25.8 ± 0.8 0.123 25.8 ± 0.7 26.9 ± 0.7 27.3 ± 0.7 0.151
 Girls (n = 2250) 27.2 ± 0.7 25.2 ± 0.8 23.6 ± 0.8 0.003 23.6 ± 0.9 26.6 ± 0.6 26.1 ± 0.7 0.005
Adjusted analysis
 All subjects (n = 4404)f 22.1 ± 0.4 22.1 ± 0.3 21.7 ± 0.5 0.594 21.4 ± 0.5 22.1 ± 0.3 22.5 ± 0.4 0.195
 Boys (n = 2154)g 22.9 ± 0.5 23.3 ± 0.4 23.1 ± 0.6 0.810 23.0 ± 0.5 22.9 ± 0.4 23.5 ± 0.5 0.370
Girls (n = 2250)g 21.4 ± 0.5 20.9 ± 0.5 20.4 ± 0.7 0.529 19.9 ± 0.6 21.5 ± 0.5 21.5 ± 0.5 0.064
  1. an = 4404; weighted n = 60,274,698. NHANES 2003–2004 and 2005–2006 were combined into one master database, NHANES 2003–2006. Regression analysis of dietary patterns scores and serum 25(OH)D concentrations
  2. bDietary pattern scores were stratified into tertiles (low, medium, and high) based on factor scores for each dietary pattern
  3. cMean ± standard error
  4. dHigh-Fat-Low-Vegetable Dietary Pattern or Prudent Dietary Pattern
  5. eSignificance determined by F-test in analysis of variance for unadjusted analysis and in analysis of covariance for adjusted analysis
  6. fAnalysis was adjusted for sex, race-ethnicity, age, season of examination, body mass index, and daily screen viewing. Poverty income ratio, supplement use, and energy intake were not found significant in this model and therefore those variables dropped
  7. gAnalysis was adjusted for race-ethnicity, age, time of examination, body mass index, and daily screen viewing. Poverty income ratio, supplement use, and energy intake were not found significant in this model and therefore these variables were dropped