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Table 1 Sociodemographic characteristics by osteoporosis including adjusted odds ratios and 95% confidence intervals (GEDA 2012)

From: Prevalence and comorbidity of osteoporosis– a cross-sectional analysis on 10,660 adults aged 50 years and older in Germany

Characteristics

Study population n (%a)

%a with Osteoporosis (95% CI)

Osteoporosis population n (%a)

ORb (95% CI)

Total

10,660 (100)

8.7 (8.0-9.6)

911 (100)

 

Sex***

 Male

4961 (46.5)

4.7 (3.8-5.9)

193 (25.2)

ref.

 Female

5699 (53.5)

12.2 (11.1-13.5)

718 (74.8)

2.3 (1.7-3.0)

Age groups*** (years)

 50-54

2147 (19.1)

3.2 (2.4-4.2)

62 (6.9)

ref.

 55-59

1429 (16.4)

6.3 (4.7-8.5)

87 (11.9)

2.1 (1.4-3.3)

 60-64

1928 (14.6)

5.8 (4.5-7.5)

119 (9.7)

2.0 (1.3-3.0)

 65-69

1378 (12.0)

8.7 (6.6-11.3)

124 (11.9)

2.9 (1.9-4.5)

 70-74

1645 (15.0)

11.3 (8.9-14.2)

159 (19.4)

4.2 (2.8-6.3)

 75-79

1252 (13.4)

12.5 (10.2-15.3)

187 (19.2)

4.2 (2.8-6.3)

 80-84

588 (6.6)

17.8 (14.1-22.3)

113 (13.5)

5.6 (3.6-8.7)

 85+

293 (2.8)

23.3 (16.8-31.5)

60 (7.5)

7.5 (4.4-12.8)

Level of education

 High

4816 (22.7)

5.5 (4.9-6.3)

318 (14.4)

ref.

 Medium

5155 (54.1)

8.3 (7.5-9.2)

495 (51.4)

1.2 (1.0-1.5)

 Low

674 (23.2)

13.0 (10.4-16.0)

98 (34.3)

1.3 (0.9-1.9)

BMI* (kg/m2)

 18.5 ≤ BMI < 25 (normal)

4015 (35.9)

10.8 (9.4-12.4)

396 (44.2)

ref.

 18.5 > BMI (underweight)

112 (0.9)

16.9 (7.8-32.8)

19 (1.8)

1.4 (0.5-3.4)

 25 ≤ BMI < 30 (overweight)

4290 (42.3)

7.4 (6.3-8.7)

318 (35.7)

0.8 (0.6-1.0)

 30 ≥ BMI (obese)

2022 (20.9)

7.7 (6.2-9.5)

166 (18.3)

0.7 (0.5-0.9)

Smoking status

 Non-smoker

5220 (48.2)

10.3 (9.2-11.6)

524 (57.0)

ref.

 Ex-smoker

3423 (31.4)

6.8 (5.7-8.2)

249 (24.6)

1.0 (0.8-1.3)

 Current smoker

2014 (20.3)

7.9 (6.2-10.1)

138 (18.5)

1.3 (1.0-1.8)

Alcohol consumption*

 Moderate

5805 (52.3)

7.6 (6.7-8.7)

468 (46.4)

ref.

 Never

2059 (23.5)

13.0 (11.1-15.2)

269 (35.3)

1.3 (1.0-1.6)

 High

2716 (24.2)

6.5 (5.1-8.3)

164 (18.3)

0.9 (0.6-1.2)

  1. aWeighted results to represent the adult population in Germany. Unweighted n may not add up to total n due to missing responses
  2. bOdds ratios estimated from logistic regression adjusted for age, sex, education, BMI, smoking status and alcohol consumption, *** p < 0.001 ** p < 0.01 * p < 0.05. Missing responses were allocated to the reference category