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Table 2 Determinants of vitamin D supplement use among 10–11-year-old students in Alberta, Canadaa

From: The prevalence and determinants of use of vitamin D supplements among children in Alberta, Canada: a cross-sectional study

 

Univariable model

Parsimonious modelb

Odds ratio (95 % CI)

Odds ratio (95 % CI)

Demographic, socio-economic and anthropometric factors

 Gender

  

 Girls

1.00

1.00

 Boys

1.10 (0.91, 1.33)

1.03 (0.85, 1.25)

Parental education

 Secondary or less

1.00

1.00

 College

1.38 (1.06, 1.78)*

1.35 (1.05, 1.74)*

 University or graduate

1.29 (1.00, 1.65)*

1.21 (0.94, 1.56)

Household incomec

 ≤$50,000

1.00

1.00

 $50,001–100,000

1.08 (0.80, 1.47)

1.08 (0.79, 1.48)

 ≥$100,001

1.08 (0.80, 1.48)

1.03 (0.74, 1.43)

Region of residence

 Rural

1.00

1.00

 Urban

1.11 (0.91, 1.37)

1.13 (0.92 1.40)

 Metropolitan

1.27 (1.03, 1.56)*

1.32 (1.06, 1.65)*

Weight status

 Under/normal weight

1.00

1.00

 Overweight

0.80 (0.64, 1.00)*

0.82 (0.66, 1.04)

  Obese

0.91 (0.60, 1.40)

0.93 (0.60, 1.43)

Lifestyle factors

Physical activity level

 1st Tertile

1.00

1.00

 2nd Tertile

1.39 (1.09, 1.77)**

1.39 (1.09, 1.78)**

 3rd Tertile

1.68 (1.33, 2.14)***

1.70 (1.33, 2.16)***

Energy-adjusted diet quality indexd

 1st Tertile

1.00

1.00

 2nd Tertile

1.16 (0.91, 1.47)

1.12 (0.89, 1.42)

 3rd Tertile

1.18 (0.95, 1.46)

1.10 (0.89, 1.36)

Energy-adjusted dietary vitamin D intaked

 1st Tertile

1.00

 2nd Tertile

0.93 (0.73, 1.19)

 

 3rd Tertile

1.03 (0.81, 1.31)

 
  1. aResults were weighted to represent provincial estimates of the grade five student population (age: 10-11y) in Alberta. Vitamin D supplement users were defined as those who used vitamin D supplements irrespective of use of multivitamins
  2. bAdjusted for demographic, socio-economic and anthropometric factors in the table
  3. c26.63 % non-disclosed responses (participants were provided option not to disclose their household income) and 12.23 % missing data
  4. d“Energy adjusted” DQI and dietary vitamin D intake were computed as the residuals from the regression model with total energy intake as the independent variable and absolute DQI or dietary vitamin D intake as the dependent variable as per established criteria [26]
  5. *p <0.05
  6. **p <0.01
  7. ***p <0.001