Title |
The Relationship between Vitamin D Status and Allergic Diseases in New Zealand Preschool Children
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Published in |
Nutrients, June 2016
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DOI | 10.3390/nu8060326 |
Pubmed ID | |
Authors |
Carolyn Cairncross, Cameron Grant, Welma Stonehouse, Cath Conlon, Barry McDonald, Lisa Houghton, Darryl Eyles, Carlos A. Camargo, Jane Coad, Pamela von Hurst |
Abstract |
Recent research on vitamin D in young children has expanded from bone development to exploring immunomodulatory effects. Our aim was to investigate the relationship of vitamin D status and allergic diseases in preschool-aged children in New Zealand. Dried capillary blood spots were collected from 1329 children during late-winter to early-spring for 25(OH)D measurement by LC-MS/MS. Caregivers completed a questionnaire about their child's recent medical history. Analysis was by multivariable logistic regression. Mean 25(OH)D concentration was 52(SD19) nmol/L, with 7% of children <25 nmol/L and 49% <50 nmol/L. Children with 25(OH)D concentrations ≥75 nmol/L (n = 29) had a two-fold increased risk for parent-report of doctor-diagnosed food allergy compared to children with 25(OH)D 50-74.9 nmol/L (OR = 2.21, 1.33-3.68, p = 0.002). No associations were present between 25(OH)D concentration and presence of parent-reported eczema, allergic rhinoconjunctivitis or atopic asthma. Vitamin D deficiency was not associated with several allergic diseases in these New Zealand preschool children. In contrast, high 25(OH)D concentrations were associated with a two-fold increased risk of parental-report food allergy. This increase supports further research into the association between vitamin D status and allergic disease in preschool children. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 14% |
Australia | 1 | 14% |
New Zealand | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 2 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 67 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 16% |
Researcher | 9 | 13% |
Student > Bachelor | 9 | 13% |
Student > Ph. D. Student | 7 | 10% |
Student > Postgraduate | 6 | 9% |
Other | 13 | 19% |
Unknown | 12 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 26 | 39% |
Agricultural and Biological Sciences | 7 | 10% |
Nursing and Health Professions | 5 | 7% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Immunology and Microbiology | 2 | 3% |
Other | 6 | 9% |
Unknown | 18 | 27% |