Skip to main content

Table 2 Odds of higher body mass index by baseline sociodemographic characteristics in Alberta's Tomorrow Project Cohort from Multinomial Logistic Regression#

From: Measures of excess body weight and anthropometry among adult Albertans: cross-sectional results from Alberta’s tomorrow project cohort

Sociodemographic factors

Men (n = 11,857)†

Women (n = 18,259)ǂ

≤24.9:

NormalҰa

25.0–29.9:

Overweighta

≥30:

Obesea

≤24.9:

NormalҰa

25.0–29.9:

Overweighta

≥30:

Obesea

n(%)

2750 (23.19)

3365 (28.38)

5742 (48.43)

7417 (40.62)

4823 (26.41)

6019 (32.96)

  

OR [95% CI]

OR [95% CI]

 

OR [95% CI]

OR [95% CI]

Ageb

 35–44

Ref

0.80 [0.63–1.01]

0.81 [0.63–1.05]

Ref

0.54 [0.45–0.64]

0.54 [0.45–0.64]

 45–54

Ref

0.90 [0.72–1.13]

1.02 [0.80–1.32]

Ref

0.74 [0.62–0.87]

0.79 [0.66–0.95]

 55–64

Ref

0.97 [0.78–1.21]

1.15 [0.91–1.45]

Ref

0.98 [0.83–1.14]

1.06 [0.90–1.24]

 65–69*

Ref

Ref

Ref

Ref

Ref

Ref

Education

 High schoolc

Ref

1.05 [0.86–1.29]

0.98 [0.79–1.22]

Ref

0.94 [0.81–1.09]

0.86 [0.74–0.99]

 Some post-secondaryd

Ref

0.89 [0.73–1.08]

0.87 [0.71–1.07]

Ref

0.94 [0.81–1.09]

0.80 [0.69–0.93]

 Post secondary completede

Ref

0.71 [0.60–0.84]

0.52 [0.43–0.63]

Ref

0.79 [0.69–0.91]

0.59 [0.51–0.68]

  < High school*f

Ref

Ref

Ref

Ref

Ref

Ref

Marital status

 Single (never married)g

Ref

0.61 [0.51–0.73]

0.80 [0.66–0.98]

Ref

0.96 [0.81–1.13]

1.51 [1.28–1.78]

 Divorced/separated/widowedh

Ref

0.91 [0.78–1.05]

0.91 [0.77–1.08]

Ref

0.86 [0.78–0.96]

0.89 [0.80–0.99]

 Married/Living with partner*i

Ref

Ref

Ref

Ref

Ref

Ref

Household Income ($CAN)j

  < $30,000

Ref

0.64 [0.53–0.78]

0.63 [0.51–0.78]

Ref

1.25 [1.10–1.42]

2.15 [1.88–2.46]

 $30,000 - $49,000

Ref

0.71 [0.63–0.81]

0.73 [0.63–0.84]

Ref

1.34 [1.22–1.48]

1.74 [1.56–1.93]

 $50,000 - $79,000

Ref

0.81 [0.73–0.92]

0.81 [0.71–0.92]

Ref

1.18 [1.08–1.30]

1.54 [1.38–1.71]

  ≥ $80,000*

Ref

Ref

Ref

Ref

Ref

Ref

Occupational status

 Part Time

Ref

0.97 [0.79–1.18]

0.78 [0.62–0.98]

Ref

0.85 [0.78–0.93]

0.73 [0.66–0.80]

 Retired

Ref

1.14 [0.94–1.39]

1.36 [1.10–1.68]

Ref

0.96 [0.83–1.10]

0.85 [0.73–0.99]

 Otherk

Ref

0.94 [0.76–1.16]

1.41 [1.13–1.76]

Ref

0.93 [0.84–1.02]

0.96 [0.86–1.06]

 Full Time*

Ref

Ref

Ref

Ref

Ref

Ref

Geographic Locationl

 Rural

Ref

1.19 [1.06–1.34]

1.34 [1.18–1.52]

Ref

1.16 [1.06–1.26]

1.37 [1.25–1.49]

 Urban*

Ref

Ref

Ref

Ref

Ref

Ref

Smoking Status

 Current daily smoker

Ref

0.76 [0.66–0.86]

0.63 [0.54–0.73]

Ref

0.98 [0.88–1.09]

0.79 [0.71–0.89]

 Current occasional smoker

Ref

1.24 [0.96–1.62]

1.32 [0.99–1.76]

Ref

1.25 [1.02–1.52]

0.95 [0.75–1.21]

 Former smoker

Ref

1.45 [1.30–1.61]

1.71 [1.51–1.93]

Ref

1.22 [1.13–1.32]

1.41 [1.30–1.53]

 Never smoker*

Ref

Ref

Ref

Ref

Ref

Ref

  1. #- Multinomial logistic regression is modelling the probablity of overweight and obesity
  2. Ұ- Considered the reference category in the multinomial logistic regression
  3. *- Considered reference category for the sociodemographic variable
  4. a- Alberta’s Tomorrow Project baseline data, respondents to height and weight measurements
  5. b- Continuous variable in years placed into categories
  6. c- Completed high school
  7. d- Completed some technical school/college training, or completed technical school/college training, or completed some part of university degree
  8. e- Completed university degree, or completed some part of post-graduate university degree, or completed university post-graduate degree
  9. f- Did not completed grade 8, or completed grade 8 but not high school
  10. g- Single and never have been married
  11. h- Divorced, or separated, or widowed
  12. i- Married, or not married but living with a partner
  13. j- Income data are in response to a question about total household income before tax
  14. k- “Other” includes homemaker, unemployed, student and other category
  15. l- Geographic Location was determined using postal codes, where the “0” as the middle numerical number indicates rural residence
  16. † - Missing in body mass index or in at least one sociodemographic factor and hence excluded from the analysis (n = 259)
  17. ǂ- Missing in body mass index or in at least one sociodemographic factor and hence excluded from the analysis (n = 697)