Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 26

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Bone Health in School Age Children: Effects of Nutritional Intake on Outcomes

Abrams, Steven A.·2021·Frontiers in Nutrition

Abstract

The maximum rate of bone mass accumulation is during early adolescence. As such, a focus on optimizing mineral nutrition in school age children, defined here as approximately 5 to 15 years of age, is crucial to minimize the risk of bone loss that occurs later in life leading to osteoporosis and fractures. Optimizing bone mass in this age group requires attention to an overall healthy diet including adequate calcium, phosphorus, magnesium, and vitamin D. Special concerns may exist related to children who follow a restricted diet such as a vegan diet, those with intolerance or allergies to dairy, and those with chronic health conditions including young adolescents with eating disorders. Public policy messages should focus on positive aspects of bone health nutrition in this age group and avoid overly specific statements about the exact amounts of foods needed for healthy bones. In this regard, dietary recommendations for minerals vary between North America and Europe and these are higher than the values that may be necessary in other parts of the world. The management of many children with chronic illnesses includes the use of medications that may affect their bone mineral metabolism. Routine lab testing for bone mineral metabolism including the serum 25-hydroxyvitamin D level is not indicated, but is valuable for at-risk children, especially those with chronic illnesses.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fnut.2021.773425

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 63

  1. Ross, 2011, Committee to Review Dietary Reference Intakes for Vitamin D and Calcium
  2. Golden, 2014, Clinical report: optimizing Bone Health in children and adolescents, Pediatrics., 134, e1229, 10.1542/peds.2014-2173 · DOI · Paper page
  3. Kalkwarf, 2014, Bone densitometry in infants and young children: the 2013 ISCD pediatric official positions, J Clin Densitom, 17, 243, 10.1016/j.jocd.2014.01.002 · DOI
  4. Abrams, 2000, Calcium absorption, bone mass accumulation, and kinetics increase during early pubertal development in girls, J Clin Endocrinol Metab., 85, 1805, 10.1210/jc.85.5.1805 · DOI
  5. Abrams, 2001, Calcium turnover and nutrition through the life cycle, Proc Nutr Soc., 60, 283, 10.1079/pns200082 · DOI
  6. Heaney, 1988, Calcium absorbability from spinach, Am J Clin Nutr., 47, 707, 10.1093/ajcn/47.4.707 · DOI
  7. Abrams, 2007, Young adolescents who respond to an inulin-type fructan substantially increase total absorbed calcium and daily calcium accretion to the skeleton, J Nutr, 137, 2524S, 10.1093/jn/137.11.2524S · DOI
  8. Winzenberg, 2006, Effects of calcium supplementation on bone density in healthy children: meta-analysis of randomised controlled trials, BMJ., 14, 7572, 10.1136/bmj.38950.561400.55 · DOI
  9. Vogel, 2017, The effect of dairy intake on bone mass and body composition in early pubertal girls and boys: a randomized controlled trial, Am J Clin Nutr., 105, 1214, 10.3945/ajcn.116.140418 · DOI
  10. van den Heuvel, 2018, Dairy products and bone health: how strong is the scientific evidence?, Nutr Res Rev., 31, 164, 10.1017/S095442241800001X · DOI
  11. Gómez, 2021, Resistance training and milk-substitution enhance body composition and bone health in adolescent girls, J Am Coll Nutr., 40, 193, 10.1080/07315724.2020.1770636 · DOI
  12. Kouda, 2020, Calcium intake and bone mineral acquisition during the pubertal growth spurt: three-year follow-up of the kitakata kids health study in Japan, J Nutr Sci Vitaminol (Tokyo)., 66, 158, 10.3177/jnsv.66.158 · DOI
  13. Schnitzler, 2019, Calcium deficiency rickets in african adolescents: cortical bone histomorphometry, JBMR Plus., 11, e10169, 10.1002/jbm4.10169 · DOI
  14. O'Brien, 1996, Increased efficiency of calcium absorption during short periods of inadequate calcium intake in girls, Am J Clin Nutr., 63, 579, 10.1093/ajcn/63.4.579 · DOI
  15. Matković, 1979, Bone status and fracture rates in two regions of Yugoslavia, Am J Clin Nutr., 32, 540, 10.1093/ajcn/32.3.540 · DOI · Paper page
  16. Abrams, 2004, Pubertal girls only partially adapt to low dietary calcium intakes, J Bone Miner Res., 19, 759, 10.1359/jbmr.040122 · DOI · Paper page
  17. Carpenter, 2017, Rickets, Nat Rev Dis Primers., 21, 17101, 10.1038/nrdp.2017.101 · DOI
  18. Sempos, 2021, Serum 25-hydroxyvitamin D requirements to prevent nutritional rickets in Nigerian children on a low-calcium diet-a multivariable reanalysis, Am J Clin Nutr., 114, 231, 10.1093/ajcn/nqab048 · DOI
  19. Wolf, 2020, Beverage milk consumption patterns in the United States: who is substituting from dairy to plant-based beverages?, J Dairy Sci., 103, 11209, 10.3168/jds.2020-18741 · DOI
  20. Abrams, 2011, Calcium and vitamin D requirements for optimal bone mass during adolescence, Curr Opin Clin Nutr Metab Care., 14, 605, 10.1097/MCO.0b013e32834b2b01 · DOI
  21. Abrams, 2009, Higher serum 25-hydroxyvitamin D levels in school-age children are inconsistently associated with increased calcium absorption, J Clin Endocrinol Metab., 94, 2421, 10.1210/jc.2008-2587 · DOI
  22. Roth, 2018, Global prevalence and disease burden of vitamin D deficiency: a roadmap for action in low- and middle-income countries, Ann N Y Acad Sci., 1430, 44, 10.1111/nyas.13968 · DOI · Paper page
  23. Winzenberg, 2010, Vitamin D supplementation for improving bone mineral density in children, Cochrane Datab System Rev, CD006944, 10.1002/14651858.CD006944.pub2 · DOI
  24. Abrams, 2004, Calcium and bone mineral metabolism in children with chronic illnesses, Annu Rev Nutr., 24, 13, 10.1146/annurev.nutr.24.012003.132135 · DOI
  25. Dietary Guidelines for Americans, 2020–2025
  26. Alemzadeh, 2008, Hypovitaminosis D in obese children and adolescents: relationship with adiposity, insulin sensitivity, ethnicity, and season, Metabolism., 57, 183, 10.1016/j.metabol.2007.08.023 · DOI · Paper page
  27. Aloia, 2008, African Americans, 25-hydroxyvitamin D, and osteoporosis: a paradox, Am J Clin Nutr, 88, 545S, 10.1093/ajcn/88.2.545S · DOI
  28. Redmond, 2014, Ethnic differences in calcium, phosphate and bone metabolism, Proc Nutr Soc., 73, 340, 10.1017/S0029665114000068 · DOI
  29. Abrams, 2014, Magnesium metabolism in 4-year-old to 8-year-old children, J Bone Miner Res., 29, 118, 10.1002/jbmr.2021 · DOI
  30. McGartland, 2003, Carbonated soft drink consumption and bone mineral density in adolescence: the Northern Ireland Young Hearts project, J Bone Miner Res, 18, 1563, 10.1359/jbmr.2003.18.9.1563 · DOI
  31. Ames, 1999, Vitamin D receptor gene Fok1 polymorphism predicts calcium absorption and bone mineral density in children, J Bone Miner Res., 14, 740, 10.1359/jbmr.1999.14.5.740 · DOI
  32. Abrams, 2005, Vitamin D receptor Fok1 polymorphisms affect calcium absorption, kinetics, and bone mineralization rates during puberty, J Bone Miner Res., 20, 945, 10.1359/JBMR.050114 · DOI
  33. Sainz, 1997, Vitamin D-receptor gene polymorphisms and bone density in prepubertal American girls of Mexican descent, N Engl J Med., 337, 77, 10.1056/NEJM199707103370202 · DOI · Paper page
  34. Mohammadi, 2014, Association between vitamin D receptor gene polymorphisms (Fok1 and Bsm1) and osteoporosis: a systematic review, J Diabetes Metab Disord., 13, 98, 10.1186/s40200-014-0098-x · DOI
  35. Man, 2017, Association of Col1A SP1 and Fok-1 VDR genetic polymorphisms in young make idiopathic osteoporosis, Acta Endocrinol (Buchar)., 13, 224, 10.4183/aeb.2017.224 · DOI
  36. Hussar, 2010, Children who choose not to eat meat: A study of early moral decision-making, Social Develop., 19, 627, 10.1111/j.1467-9507.2009.00547.x · DOI
  37. Kiely, 2021, Risks and benefits of vegan and vegetarian diets in children, Proc Nutr Soc., 28, 1, 10.1017/S002966512100001X · DOI
  38. Zhao, 2005, Calcium bioavailability of calcium carbonate fortified soymilk is equivalent to cow's milk in young women, J Nutr, 135, 2379, 10.1093/jn/135.10.2379 · DOI
  39. Desmond, 2021, Growth, body composition, and cardiovascular and nutritional risk of 5- to 10-y-old children consuming vegetarian, vegan, or omnivore diets, Am J Clin Nutr, 19, nqaa445, 10.1093/ajcn/nqaa445 · DOI
  40. Doulgeraki, 2017, Bone health assessment of food allergic children on restrictive diets: a practical guide, J Pediatr Endocrinol Metab., 30, 133, 10.1515/jpem-2016-0162 · DOI
  41. Misra, 2004, Effects of anorexia nervosa on clinical, hematologic, biochemical, and bone density parameters in community-dwelling adolescent girls, Pediatrics., 114, 1574, 10.1542/peds.2004-0540 · DOI · Paper page
  42. Abrams, 1993, Mineral balance and bone turnover in adolescents with anorexia nervosa, J Pediatr., 123, 326, 10.1016/S0022-3476(05)81714-7 · DOI
  43. Clarke, 2021, Abnormal bone mineral density and content in girls with early-onset anorexia nervosa, J Eat Disord., 9, 9, 10.1186/s40337-020-00365-6 · DOI
  44. Fintini, 2020, The bones of children with obesity, Front Endocrinol (Lausanne)., 11, 200, 10.3389/fendo.2020.00200 · DOI
  45. Pollock, 2015, Childhood obesity, bone development, and cardiometabolic risk factors, Mol Cell Endocrinol., 410, 52, 10.1016/j.mce.2015.03.016 · DOI
  46. Lee, 2020, Low bone mineral density in early pubertal transgender/gender diverse youth: findings from the trans youth care study, J Endocr Soc, 4, bvaa065, 10.1210/jendso/bvaa065 · DOI
  47. Schagen, 2020, Bone development in transgender adolescents treated with GnRH analogues and subsequent gender-affirming hormones, J Clin Endocrinol Metab., 105, e4252, 10.1210/clinem/dgaa604 · DOI
  48. Tangpricha, 2012, An update on the screening, diagnosis, management, and treatment of vitamin D deficiency in individuals with cystic fibrosis: evidence-based recommendations from the Cystic Fibrosis Foundation, J Clin Endocrinol Metab., 97, 1082, 10.1210/jc.2011-3050 · DOI
  49. Juhász, 2020, Vitamin D supplementation in patients with cystic fibrosis: a systematic review and meta-analysis, J Cyst Fibros., 20, 729, 10.1016/j.jcf.2020.12.008 · DOI
  50. Ozkaya, 2013, Bone mineral density and associated parameters in pre-pubertal children with asthma treated with long-term fluticasone propionate, Allergol Immunopathol (Madr)., 41, 102, 10.1016/j.aller.2011.12.007 · DOI
  51. Kelly, 2012, Effect of inhaled glucocorticoids in childhood on adult height, N Engl J Med., 367, 904, 10.1056/NEJMoa1203229 · DOI · Paper page
  52. Shi, 2020, The effect of levetiracetam and oxcarbazepine monotherapy on thyroid hormones and bone metabolism in children with epilepsy: a prospective study, Epilepsy Behav., 113, 107555, 10.1016/j.yebeh.2020.107555 · DOI
  53. Fan, 2016, The impact of anti-epileptic drugs on growth and bone metabolism, Int J Mol Sci., 17, 1242, 10.3390/ijms17081242 · DOI
  54. Grover, 2017, Osteoporosis in children with chronic illnesses: diagnosis, monitoring, and treatment, Curr Osteoporos Rep., 15, 271, 10.1007/s11914-017-0371-2 · DOI
  55. Bacchetta, 2013, Idiopathic juvenile osteoporosis: a cross-sectional single-centre experience with bone histomorphometry and quantitative computed tomography, Pediatr Rheumatol Online J., 11, 6, 10.1186/1546-0096-11-6 · DOI
  56. 2016, Dietary reference values for vitamin D, EFSA J, 14, 4547, 10.2903/j.efsa.2016.4484 · DOI
  57. 2015, Scientific opinion of dietary reference values for calcium, EFSA J., 13, 4101, 10.2903/j.efsa.2015.4101 · DOI
  58. 2015, Scientific opinion of dietary reference values for magnesium, EFSA J., 13, 4186, 10.2903/j.efsa.2015.4186 · DOI
  59. 2015, Scientific opinion of dietary reference values for phosphorus, EFSA J., 13, 4185, 10.2903/j.efsa.2015.4185 · DOI
  60. 1997, Food and Nutrition Board
  61. Yaktine, 2020, Why the derivation of nutrient reference values should be harmonized and how it can be accomplished, Adv Nutr., 11, 1102, 10.1093/advances/nmaa048 · DOI
  62. Allen, 2020, Perspective: proposed harmonized nutritient reference values for populations, Adv Nutr., 11, 469, 10.1093/advances/nmz096 · DOI
  63. Khadilkar, 2017, Prevention and treatment of vitamin D and calcium deficiency in children and adolescents: Indian academy of pediatrics (IAP) guidelines, Indian Pediatr., 54, 567, 10.1007/s13312-017-1070-x · DOI

Cited by

See all 26

Metadata

Authors
Abrams, S. A.
Venue
Frontiers in Nutrition
Published
2021-11-19
Volume
8
ISSN
2296-861X
Cited by
26
References
1

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.