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Table 3 Determinants of use of multivitamins among of 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

0.91 (0.75, 1.10)

0.85 (0.70, 1.03)

Parental education

 Secondary or less

1.00

1.00

 College

1.26 (1.02, 1.55)*

1.25 (1.02, 1.54)*

 University or graduate

1.34 (1.07, 1.69)*

1.33 (1.06, 1.68)*

Household incomec

 ≤$50,000

1.00

1.00

 $50,001–100,000

1.48 (1.10, 2.00)**

1.43 (1.05, 1.94)*

 ≥$100,001

1.44 (1.09, 1.91)**

1.29 (0.97, 1.71)

Region of residence

 Rural

1.00

1.00

 Urban

1.06 (0.81, 1.40)

1.06 (0.81 1.39)

 Metropolitan

0.92 (0.73, 1.17)

0.95 (0.76, 1.19)

Weight status

 Under/normal weight

1.00

1.00

 Overweight

0.84 (0.67, 1.05)

0.88 (0.70, 1.09)

 Obese

0.70 (0.50, 0.98)*

0.76 (0.54, 1.08)

Lifestyle factors

Physical activity level

 1st Tertile

1.00

1.00

 2nd Tertile

1.21 (0.99, 1.47)

1.20 (0.97, 1.47)

 3rd Tertile

1.55 (1.26, 1.90)***

1.56 (1.27, 1.91)***

Energy-adjusted diet quality indexd

 1st Tertile

1.00

1.00

 2nd Tertile

1.22 (0.99, 1.51)

1.20 (0.97, 1.49)

 3rd Tertile

1.22 (0.97, 1.55)

1.13 (0.90, 1.43)

Energy-adjusted dietary vitamin D intaked

 1st Tertile

1.00

 2nd Tertile

0.95 (0.77, 1.17)

 

 3rd Tertile

1.16 (0.97, 1.39)

 
  1. aResults were weighted to represent provincial estimates of the grade five student population (age: 10-11y) in Alberta. Multivitamin users were defined as those who used multivitamins irrespective of use of vitamin D supplements
  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