Skip to main content

Table 5 Odds of higher waist circumference and waist-to-hip ratio by baseline sociodemographic characteristics in Alberta's Tomorrow Project Cohort from binary logistic regression#

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

Sociodemographic Factors

Waist circumferencea (n = 11,807)†

 

Waist-Hip Ratioa (n = 11,857)ǂ

Elevated Risk

Extremely High Risk

≤94 cm (M), ≤80 cm (W)*

> 94 cm (men)

>80 (women)

≤102 cm (M),

≤88 (W)*

>102 cm (men)

>88 (women)

<0.90 (M),

<0.85 (W)*

≥0.90 (men)

≥0.85 (women)

 

OR [95% CI]

 

Ageb

 35–44

Ref

0.54 [0.44–0.66]

0.44 [0.38–0.53]

Ref

0.60 [0.50–0.72]

0.54 [0.46–0.62]

Ref

0.39 [0.29–0.51]

0.45 [0.39–0.52]

 45–54

Ref

0.80 [0.65–0.98]

0.67 [0.57–0.79]

Ref

0.84 [0.70–0.99]

0.76 [0.66–0.88]

Ref

0.64 [0.48–0.85]

0.68 [0.59–0.78]

 55–64

Ref

0.96 [0.79–1.16]

0.96 [0.82–1.13]

Ref

1.05 [0.90–1.24]

1.03 [0.90–1.17]

Ref

0.98 [0.75–1.29]

0.89 [0.79–1.02]

 65–69*

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Education

 High schoolc

Ref

0.93 [0.78–1.10]

0.88 [0.76–1.01]

Ref

0.89 [0.77–1.03]

0.86 [0.76–0.98]

Ref

0.88 [0.70–1.12]

0.87 [0.77–0.99]

 Some post-secondaryd

Ref

0.87 [0.74–1.02]

0.84 [0.73–0.97]

Ref

0.91 [0.79–1.05]

0.85 [0.75–0.97]

Ref

0.85 [0.68–1.07]

0.85 [0.75–0.96]

 Post secondary completede

Ref

0.63 [0.54–0.73]

0.73 [0.64–0.84]

Ref

0.65 [0.57–0.74]

0.67 [0.60–0.75]

Ref

0.63 [0.51–0.77]

0.71 [0.64–0.80]

  < High school*f

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Marital status

 Single (never married)g

Ref

0.74 [0.63–0.86]

1.09 [0.94–1.27]

Ref

0.89 [0.76–1.05]

1.38 [1.20–1.58]

Ref

1.00 [0.82–1.23]

1.19 [1.03–1.37]

 Divorced/separated/widowedh

Ref

0.85 [0.74–0.96]

0.83 [0.76–0.91]

Ref

0.94 [0.83–1.07]

0.93 [0.85–1.02]

Ref

0.93 [0.78–1.10]

0.91 [0.83–0.99]

 Married/Living with partner*i

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Household Income ($CAN)j

  < $30,000

Ref

0.82 [0.70–0.97]

1.78 [1.58–2.00]

Ref

0.92 [0.79–1.08]

1.78 [1.60–1.99]

Ref

0.82 [0.66–1.01]

1.68 [1.51–1.88]

 $30,000 - $49,000

Ref

0.92 [0.82–1.02]

1.53 [1.40–1.67]

Ref

0.91 [0.82–1.02]

1.56 [1.43–1.69]

Ref

1.06 [0.92–1.22]

1.35 [1.23–1.47]

 $50,000 - $79,000

Ref

0.96 [0.87–1.06]

1.36 [1.25–1.48]

Ref

0.93 [0.85–1.03]

1.37 [1.26–1.49]

Ref

1.07 [0.94–1.22]

1.25 [1.15–1.37]

  ≥ $80,000*

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Occupational status

 Part Time

Ref

0.99 [0.83–1.17]

0.80 [0.74–0.87]

Ref

0.89 [0.76–1.05]

0.82 [0.75–0.89]

Ref

1.12 [0.88–1.44]

0.89 [0.82–0.96]

 Retired

Ref

1.29 [1.08–1.53]

1.00 [0.87–1.15]

Ref

1.27 [1.09–1.47]

0.96 [0.85–1.08]

Ref

0.95 [0.75–1.20]

0.98 [0.87–1.11]

 Otherk

Ref

1.38 [1.15–1.66]

0.95 [0.87–1.04]

Ref

1.39 [1.17–1.64]

1.00 [0.92–1.09]

Ref

1.10 [0.87–1.38]

1.03 [0.95–1.13]

 Full Time*

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Geographic Locationl

 Rural

Ref

1.19 [1.08–1.32]

1.19 [1.10–1.29]

Ref

1.16 [1.06–1.27]

1.17 [1.09–1.25]

Ref

1.24 [1.09–1.41]

1.05 [0.97–1.12]

 Urban*

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Smoking Status

 Current daily smoker

Ref

0.81 [0.72–0.91]

1.01 [0.91–1.11]

Ref

0.93 [0.83–1.05]

1.03 [0.94–1.13]

Ref

1.14 [0.98–1.33]

1.38 [1.26–1.51]

 Current occasional smoker

Ref

1.15 [0.92–1.42]

1.25 [1.03–1.51]

Ref

1.31 [1.06–1.61]

1.03 [0.86–1.24]

Ref

0.97 [0.75–1.26]

1.27 [1.06–1.53]

 Former smoker

Ref

1.48 [1.35–1.62]

1.35 [1.26–1.45]

Ref

1.49 [1.36–1.62]

1.29 [1.21–1.38]

Ref

1.52 [1.35–1.72]

1.25 [1.17–1.34]

 Never smoker*

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

Ref

  1. #- Binary logistic regression is modelling the probability of higher waist circumference and waist-to-hip ratio categories
  2. Ұ- Considered the reference category in a binary logistic regression
  3. *- Considered reference category for the sociodemographic variable
  4. a- Alberta’s Tomorrow Project baseline data, respondents to waist and hip circumference
  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 etc.
  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 waist circumference or in at least one sociodemographic factor and hence excluded from the analysis (n = 309)
  17. ǂ- Missing in waist-to-hip ratio or in at least one sociodemographic factor and hence excluded from the analysis (n = 259)