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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