scholarly journals Glucose metabolism in children and adolescents: Population‐based reference values and comparisons to children and adolescents enrolled in obesity treatment

Author(s):  
Christine Frithioff‐Bøjsøe ◽  
Morten A. V. Lund ◽  
Julie T. Kloppenborg ◽  
Tenna T. H. Nielsen ◽  
Cilius E. Fonvig ◽  
...  
Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 546
Author(s):  
Paulina Kreusler ◽  
Mandy Vogel ◽  
Anja Willenberg ◽  
Ronny Baber ◽  
Yvonne Dietz ◽  
...  

This study proposes age- and sex-specific percentiles for serum cobalamin and folate, and analyzes the effects of sex, age, body mass index (BMI), and socioeconomic status (SES) on cobalamin and folate concentrations in healthy children and adolescents. In total, 4478 serum samples provided by healthy participants (2 months–18.0 years) in the LIFE (Leipzig Research Centre for Civilization Diseases) Child population-based cohort study between 2011 and 2015 were analyzed by electrochemiluminescence immunoassay (ECLIA). Continuous age-and sex-related percentiles (2.5th, 10th, 50th, 90th, 97.5th) were estimated, applying Cole’s LMS method. In both sexes, folate concentrations decreased continuously with age, whereas cobalamin concentration peaked between three and seven years of age and declined thereafter. Female sex was associated with higher concentrations of both vitamins in 13- to 18-year-olds and with higher folate levels in one- to five-year-olds. BMI was inversely correlated with concentrations of both vitamins, whilst SES positively affected folate but not cobalamin concentrations. To conclude, in the assessment of cobalamin and folate status, the age- and sex-dependent dynamic of the respective serum concentrations must be considered. While BMI is a determinant of both vitamin concentrations, SES is only associated with folate concentrations.


Author(s):  
Veronica R. Johnson ◽  
Nonyerem O. Acholonu ◽  
Ana C. Dolan ◽  
Ashwin Krishnan ◽  
Emily Hsu-Chi Wang ◽  
...  

2015 ◽  
Vol 450 ◽  
pp. 11-14 ◽  
Author(s):  
Ulrik Lausten-Thomsen ◽  
Michael Christiansen ◽  
Cilius Esmann Fonvig ◽  
Cæcilie Trier ◽  
Oluf Pedersen ◽  
...  

Helicobacter ◽  
2002 ◽  
Vol 7 (6) ◽  
pp. 356-363 ◽  
Author(s):  
Costantino De Giacomo ◽  
Valeria Valdambrini ◽  
Francesca Lizzoli ◽  
Anna Gissi ◽  
Marina Palestra ◽  
...  

2021 ◽  
Vol 9 (3) ◽  
pp. 144-152
Author(s):  
Salvatore Vaccarella ◽  
Joannie Lortet-Tieulent ◽  
Murielle Colombet ◽  
Louise Davies ◽  
Charles A Stiller ◽  
...  

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 264
Author(s):  
Marco Cossio-Bolaños ◽  
Rubén Vidal-Espinoza ◽  
Luis Felipe Castelli Correia de Campos ◽  
Luis Urzua-Alul ◽  
José Damián Fuentes-López ◽  
...  

(1) Background: Spirometry is useful for diagnosing and monitoring many respiratory diseases. The objectives were: (a) compare maximum expiratory flow (MEF) values with those from international studies, (b) determine if MEF should be evaluated by chronological age and/or maturity, (c) develop reference norms for children, and adolescents. (2) Methods: A cross-sectional study was designed with 3900 subjects ages 6.0 and 17.9 years old. Weight, standing height, sitting height, and MEF were measured. Length of the lower limbs, body mass index (BMI), and age of peak height velocity growth (APHV) were calculated. (3) Results: Values for the curves (p50) for females of all ages from Spain and Italy were higher (92 to 382 (L/min)) than those for females from Arequipa (Peru). Curve values for males from Spain and Italy were greater [70 to 125 (L/min)] than the males studied. MEF values were similar to those of Chilean students ages 6 to 11. However, from 12 to 17 years old, values were lower in males (25 to 55 (L/min)) and in females (23.5 to 90 (L/min)). Correlations between chronological age and MEF in males were from (r = 0.68, R2 = 0.39) and in females from (r = 0.46, R2 = 0.21). Correlations between maturity (APHV) and MEF for males were from (r = 0.66, R2 = 0.44) and for females (r = 0.51, R2 = 0.26). Percentiles were calculated for chronological age and APHV. Conclusion: Differences occurred in MEF when compared with other geographical regions of the world. We determined that maturity may be a more effective indicator for analyzing MEF. Reference values were generated using chronological age and maturity.


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