Data_Sheet_1_Association of bone mineralization markers with dietary nutrient intake in adolescents with and without biochemical osteomalacia.docx

BackgroundDietary intake is widely known to play a crucial role in achieving peak bone mass among children and adolescents. Unfortunately, this information is lacking among Arab adolescents, an understudied demographic that has recently been observed to have a high prevalence of abnormal mineralization markers [low serum 25(OH)D, high serum alkaline phosphatase (ALP), low calcium (Ca) and/or inorganic phosphate (Pi)] suggestive of biochemical osteomalacia (OM, defined as any 2 of the 4 parameters). In order to fill this gap, we aimed to evaluate the associations of serum markers of biochemical OM with dietary intake of macronutrients, vitamins and trace minerals.MethodsSaudi adolescents (N = 2,938, 57.8% girls), aged 12–17 years from 60 different schools in Riyadh, Saudi Arabia were included. Dietary intake of nutrients was calculated following a semi-quantitative 24 h dietary recall over 3 weekdays and 1 weekend-day using a validated food frequency questionnaire. Compliance to reference daily intake (RDI) of macronutrients, vitamins and trace minerals were calculated. Fasting blood samples were collected and circulating levels of 25(OH)D, ALP, Ca, and Pi were analyzed.ResultsA total of 1819 (1,083 girls and 736 boys) adolescents provided the dietary recall data. Biochemical OM was identified in 175 (9.6%) participants (13.5% in girls, 3.9% in boys, p 2 = 4.3%, p = 0.01). Among controls, dietary vitamin C and vitamin D explained 0.6% of the total variation in serum 25(OH)D (r = 0.09, adjusted r2 = 0.6%, p = 0.004).ConclusionArab adolescents do not meet the RDI for dietary Ca and vitamin D, and none have sufficient vitamin D status (25(OH)D levels >50 nmol/L) but they exceed the RDI for dietary Pi. Interpreting these data in the light of the increased prevalence of rickets in Arab countries, food fortification to optimise vitamin D and Ca intake in Saudi adolescents should be considered.</p

Partial Correlation Using Systolic BP, Diastolic BP, TNF-α and Angiotensin II as Dependent Variables Controlled for BMI.

<p>Spearman's correlation coefficient with corresponding p-value (p<0.05 is significant).</p

Demographic and Clinical Characteristic for Studied Subjects.

<p> <b>Data represented by N(%); Mean ± Std.deviation.</b></p>‘*’<p> <b>indicate group is significantly from the control.</b></p>‘#’<p> <b>indicates group is significantly different from the obese.</b></p>$<p> <b>- group is significantly different from the obese hypertensive.</b></p

Correlation between systolic blood pressure and ANG II (r = 0.17, p<0.05) (A); TNF-α (r = 0.2, p<0.001) (B) in the entire group studied.

<p>Correlation between systolic blood pressure and ANG II (r = 0.17, p<0.05) (A); TNF-α (r = 0.2, p<0.001) (B) in the entire group studied.</p

Correlation between ANG II and TNF-α (r = 0.32, p<0.001) in the entire group studied.

<p>Correlation between ANG II and TNF-α (r = 0.32, p<0.001) in the entire group studied.</p

Spearman's Correlation Using Systolic BP, Diastolic BP, TNF-α and Angiotensin II as Dependent Variables.

<p>Spearman's correlation coefficient with corresponding p-value (p<0.05 is significant).</p