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Table 3 Prevalence of disordered eating behaviors and weight/shape overvaluation in South Australian people without and with self-reported diabetes mellitus (DM) by gender and age

From: Associations between self-reported diabetes mellitus, disordered eating behaviours, weight/shape overvaluation, and health-related quality of life

Variables

Self- reported DM

AOR (95%CI)*

χ2 (p)

Self-reported DM

AOR (95%CI)*

χ2 (p)

p#

Yes

No

  

Yes

No

   

Disordered eating behaviours

Male

Female

 

n (%)

 

n (%)

 

 Objective binge eating

20 (12.0)

144 (11.2)

0.86 (0.51–1.45)

0.32 (0.570)

26 (15.2)

126 (9.3)

1.11 (0.65–1.89)

0.14 (0.707)

.218

 Subjective binge eating

10 (6.1)

41 (3.2)

1.63 (0.77–3.45)

1.65 (0.198)

12 (7.1)

34 (2.5)

2.27 (1.10–4.69)

4.88 (0.027)

.508

 Strict dieting/fasting

7 (4.2)

46 (3.6)

0.90 (0.39–2.09)

0.06 (0.803)

11 (6.4)

83 (6.1)

1.30 (0.61–2.79)

0.46 (0.498)

.664

 Purging

3 (0.2)

3 (1.7)

11 (0.8)

0.44 (0.11–1.75)

1.34 (0.247)

n.a.

Weight/shape overvaluation

52 (31.5)

528 (41.2)

0.55 (0.38–0.79)

10.31 (0.001)

69 (40.1)

624 (46.2)

0.71 (0.49–1.02)

3.40 (0.065)

.623

 

Age 15 to 44 years

Age ≥ 45 years

 

n (%)

 

n (%)

 

 Objective binge eating

12 (17.1)

168 (13.0)

1.11 (0.58–2.14)

0.11 (0.744)

34 (12.7)

102 (7.6)

1.24 (0.77–1.99)

0.80 (0.371)

.545

 Subjective binge eating

6 (8.8)

53 (4.1)

1.72 (0.71–4.16)

1.46 (0.227)

16 (6.0)

21 (1.6)

3.28 (1.59–6.76)

10.35 (0.001)

.495

 Strict dieting/fasting

6 (8.6)

88 (6.8)

0.78 (0.34–2.27)

0.08 (0.783)

12 (4.5)

41 (3.1)

1.49 (0.72–3.09)

1.15 (0.283)

.392

 Purging

1 (1.4)

11 (0.8)

1.42 (0.16–12.45)

0.10 (0.750)

2 (0.7)

3 (0.2)

1.81 (0.29–11.46)

0.40 (0.526)

.718

Weight/shape overvaluation

33 (47.8)

619 (47.8)

0.86 (0.52–1.42)

0.35 (0.555)

88 (33.0)

533 (39.9)

0.64 (0.47–0.87)

7.87 (0.005)

.477

  1. #Significance level for tests of interaction between male/female and young/old
  2. *AOR (95% CI) = Adjusted odds ratio (95% confidence interval): Generalized linear models, binary logistic regression (adjusted by BMI), reference category (no diabetes)