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Table 1 Characteristics of women with osteoporosis or osteopenia diagnosis according to prescription treatment status

From: Factors associated with treatment of women with osteoporosis or osteopenia from a national survey

 

Study

Sample

(N = 3276)

No

Prescription

(n = 1476)

Prescription

Treatment

(n = 1800)

P value

Risk factors for fracture

    

Age (mean)

64.4

63.3

65.2

< .001

Fracture history, %

    

   None

62.9

64.2

61.7

.14

   1

15.3

14.7

15.8

.37

   ≥ 2

14.1

11.0

16.6

< .001

Osteoporosis, %

69.0

63.3

73.6

< .001

BMI (mean)

28.0

28.7

27.5

< .001

Family history of osteoporosis, %

50.6

49.1

51.9

.10

Glucocorticoid use, %

5.8

5.6

5.9

.64

Tobacco use, %

21.3

24.1

19.1

.001

Daily alcohol use, %

5.7

5.6

5.8

.73

Health Status

    

SF-12v2 score

    

   Physical summary

40.4

39.1

41.4

< .001

   Mental summary

49.1

48.3

49.7

< .001

Exercise in past month, d

6.8

6.4

7.2

.01

Years since diagnosis

6.4

6.3

6.5

.48

BMD testing, %

85.5

79.3

90.6

< .001

Postmenopausal, %

69.2

64.4

73.1

< .001

Hysterectomy with oophorectomy, %

29.1

28.6

29.6

.55

Comorbidity index score

1.02

1.07

0.97

.04

Prescription medications currently using for conditions other than osteoporosis, median

5.1

5.0

5.2

.13

Back pain, %

32.1

36.0

28.8

< .001

Osteoarthritis, %

50.5

55.6

46.3

< .001

Anxiety, %

25.2

30.3

21.1

< .001

Depression, %

24.0

26.6

21.9

.002

Disabled, %

8.0

8.7

7.4

0.18

Hospitalized (past 6 months), %

12.5

12.3

12.7

.69

Provider visits (6 months),%

    

   PCP

84.2

81.7

86.2

.001

   Endocrinologist

5.3

4.9

5.6

.40

   Gynecologist

16.0

14.3

17.4

.02

   Nurse practitioner

15.0

15.4

14.7

.53

   Orthopedist

12.8

13.1

12.6

.69

   Rheumatologist

9.0

7.5

10.2

.008

Provider visits (6 months), %

    

   1-2

45.2

41.7

48.2

< .001

   3-6

35.6

36.7

34.8

.27

   ≥ 7

10.9

10.8

10.9

.92

Demographic and Socioeconomic Characteristics

Race/ethnicity, %

    

   White

90.5

89.8

91.0

.27

   African American

3.5

3.0

3.9

.17

   Hispanic

2.7

3.1

2.3

.17

   Other

3.3

4.0

2.7

.04

Graduated college, %

27.7

25.7

29.4

.02

Employed, %

25.3

27.6

23.4

.005

Prescription coverage, %

82.9

79.0

86.1

< .001

Income (thousand dollars/y), %

    

   < 25

24.9

27.2

23.1

.02

   25- < 50

30.7

31.4

30.1

 

   50- < 75

17.9

18.0

17.9

 

   75- < 100

8.2

7.1

9.1

 

   100- < 125

3.2

2.6

3.7

 

   125-150

1.7

1.8

1.6

 

   ≥ 150

2.4

2.2

2.6

 

Out-of-pocket spending on prescriptions as a proportion of income

0.05

0.05

0.06

.05

Cost cutting actions, %

16.4

17.8

15.3

.05

Ask for generic, %

36.9

36.2

37.4

.48

Children in home

0.18

0.22

0.15

.002

Marital status

    

   Married/partnered

56.9

57.7

56.2

.39

   Single

4.3

4.1

4.6

.49

   Divorced/separated

20.8

22.0

19.9

.14

Widowed

17.9

16.2

19.3

.02

  1. Abbreviations: BMD = bone mineral density; BMI = body mass index; d = days; N = total number in study sample; n = number in subgroup; PCP = primary care provider; SF-12v2 = Short Form-12, version 2.0; y = year.