Prevalence of Vitamin D Insufficiency and Associated Factors Among Canadian Cree: A Cross-sectional Study

OBJECTIVES:Aboriginal peoples affected by a nutrition transition and living at high latitudes are among the ethnic groups most at risk of vitamin D deficiency. The objectives of this study were to determine the prevalence of meeting predefined cut-off concentrations of vitamin D and to examine assoc...

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Bibliographic Details
Published in:Canadian journal of public health 2013-07, Vol.104 (4), p.e291-e297
Main Authors: Riverin, Bruno, Dewailly, Eric, Côté, Suzanne, Johnson-Down, Louise, Morin, Suzanne, Dodin, Sylvie
Format: Article
Language:English
Subjects:
Adolescent
Adult
Age Distribution
Age groups
Alcohol drinking
Canada - epidemiology
Cross-Sectional Studies
Diet
Diet - ethnology
Exercise
Female
Food and nutrition
Health aspects
Humans
Indians, North American - statistics & numerical data
Indigenous peoples
Male
Medicine
Medicine & Public Health
Men
Native peoples
Nutrition
Obesity
Obesity - ethnology
Physiological aspects
Prevalence
Prevalence studies (Epidemiology)
Public Health
Quantitative Research
Risk Factors
Sex Distribution
Surveys and Questionnaires
Teenagers
Time Factors
Vitamin D
Vitamin D - analogs & derivatives
Vitamin D - blood
Vitamin D deficiency
Vitamin D Deficiency - ethnology
Women
Young Adult
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Summary:OBJECTIVES:Aboriginal peoples affected by a nutrition transition and living at high latitudes are among the ethnic groups most at risk of vitamin D deficiency. The objectives of this study were to determine the prevalence of meeting predefined cut-off concentrations of vitamin D and to examine associated factors among James Bay Cree aged ≥15 years. METHODS:A cross-sectional study was conducted between the months of May and September from 2005 to 2009. Serum 25-hydroxyvitamin D (25(OH)D) concentrations were determined by radioimmunoassay. Anthropometrics were measured and additional information on socio-demographic characteristics, lifestyle and dietary habits was obtained using questionnaires. A logistic regression model predicting vitamin D insufficiency (
ISSN:0008-4263
1920-7476
1920-7476
DOI:10.17269/cjph.104.3838