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. 2022 Oct 20;116(6):1767–1778. doi: 10.1093/ajcn/nqac240

TABLE 3.

Dietary intakes and biomarkers of vitamin B-6 and riboflavin in younger and older adults1

Age category
18–50 y (n = 628) 51–64 y (n = 184) ≥65 y (n = 124) P 2
General characteristics
 Male, % 52 54 46 0.363
 Age, y 34 (10)a 57 (4)b 72 (5)c <0.001
 BMI, kg/m2 26.3 (4.4)a 29.4 (5.1)b 27.7 (4.0)c <0.001
Energy intake, MJ/d
 Males 10.5 (2.7)a 9.4 (2.5)b 8.1 (2.5)c <0.001
 Females 7.4 (2.2)a 7.1 (1.7)a,b 6.5 (1.5)b 0.024
Vitamin B-6
 Intake, mg/d
  Males 3.2 (1.1) 3.0 (1.1) 2.9 (1.4) 0.112
  Females 2.1 (0.8) 2.2 (0.8) 2.3 (0.9) 0.430
 Biomarker status (plasma PLP), nmol/L
  Males 105.8 (45.3)a 95.5 (44.2)a 74.3 (36.0)b <0.001
  Females 74.6 (35.3) 78.6 (43.1) 72.1 (44.4) 0.377
Riboflavin
 Intake, mg/d
  Males 2.3 (1.0)a 2.0 (0.8)b 1.8 (0.7)b <0.001
  Females 1.6 (0.6) 1.6 (0.5) 1.6 (0.7) 0.393
 Biomarker status (EGRac)
  Males 1.38 (0.17) 1.35 (0.17) 1.34 (0.15) 0.105
  Females 1.41 (0.17)a 1.38 (0.16)a, b 1.34 (0.16)b 0.003
1

Values are means (SDs) unless otherwise stated. Data available for NANS cohort n = 936, whereby corresponding biomarker and dietary data were available for unsupplemented adults. Values in a row without a common superscript letter are significantly different, P < 0.05 (Scheffé post hoc test). EGRac, erythrocyte glutathione reductase activation coefficient; PLP, pyridoxal 5´-phosphate.

2

General characteristics were compared between groups by using chi-square analysis and 1-factor ANOVA (Scheffé post hoc tests) for categorical and continuous variables, respectively. Differences in riboflavin and vitamin B-6 intake and biomarker status were analyzed by 1-factor ANOVA with Scheffé post hoc tests.