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Table 6 Mistreatment Index (MIST) Odds Ratios by Body Mass Index Categories and Select Demographics

From: Weight-based disparities in perinatal care: quantitative findings of respect, autonomy, mistreatment, and body mass index in a national Canadian survey

 

Bottom 33% of MIST Score

Top 33% of MIST Score

Logistic Regression

Unadjusted Odds Ratio

(95% CI)

Adjusted Odds Ratio

(95% CI)

Unadjusted Odds Ratio

(95% CI)

Adjusted Odds Ratio

(95% CI)

BMI Category

 18.5–24.99

1

1

1

1

 25–29.99

0.66** (0.54, 0.81)

0.67** (0.54, 0.82)

1.45** (1.17, 1.80)

1.45** (1.16, 1.81)

 30–34.99

0.66** (0.51, 0.86)

0.71* (0.54, 0.93)

1.89** (1.44, 2.48)

1.79** (1.35, 2.37)

≥ 35

0.51** (0.38, 0.70)

0.53** (0.38, 0.72)

2.0** (1.47, 2.73)

1.95** (1.41, 2.69)

Racial Identity

 White

 

1

 

1

 Indigenous (a)

 

0.47** (0.30, 0.72)

 

2.26** (1.53, 3.33)

 People of Colour (b)

 

0.95 (0.73, 1.23)

 

1.33* (1.02, 1.75)

Income Enough to Meet Needs

 More Than Enough

 

1

 

1

 Enough

 

0.75** (0.62, 0.91)

 

1.64** (1.34, 2.01)

 Not Enough

 

0.41** (0.27, 0.60)

 

2.56** (1.76, 3.71)

Education Category

< = High School

 

1

 

1

 Some

College/Apprentice

 

0.74 (0.50, 1.09)

 

1.05 (0.70, 1.55)

 Undergraduate

 

0.78 (0.53, 1.14)

 

1.12 (0.75, 1.66)

 Graduate/Professional

 

0.74 (0.50, 1.09)

 

1.09 (0.73, 1.64)

Age Category

< 25

 

1

 

1

 25–34

 

1.36 (0.97, 1.90)

 

0.82 (0.58, 1.14)

> 35

 

1.66** (1.14, 2.41)

 

0.63* (0.43, 0.93)

 Number of Observations

2201

2188

2201

2188

  1. ** p < .01. * p < .05. 95% Confidence Interval (CI). Robust estimators are used
  2. Bottom 33% MIST score: those with scores in the bottom third percentile and experiencing lower level of Mistreatment
  3. Top 33% MIST score: those with scores in the top third percentile and experiencing higher level of Mistreatment
  4. (a) First Nations, Métis, or Inuk (Inuit); (b) People of Colour include Central Asian, East Asian, Latinx or Hispanic, Middle Eastern, South Asian, Southeast Asian, and Black