Research Article

Associations of Education Level and Bone Density Tests among Cognitively Intact Elderly White Women in Managed Medicare

Table 1

(a) Descriptive statistics by education level and logistic regression analysis. (b) percentage of bone density test and logistic regression analysis.
(a)

Characteristic by education levela
TotalLess than high schoolHigh schoolMore than high school
Variable( )( )( )( )

Age
 65–74 57.2% 48.7%56.8%62.1%
 75+ 42.8% 51.3%43.2%37.9%
Body mass index
 Not obese BMI 30 73.7% 70.4%73.0%76.4%
 Obese BMI 30 26.3% 29.6%27.0%23.6%
Marital status
 Married 46.6% 38.8%48.4%48.4%
 Nonmarried 53.4% 61.2%51.6%51.6%
Smoking status
 Every or some days9.0% 11.6%9.1% 7.4%
 Not at all91.0% 88.4%90.9%92.6%
Cohort
 9 (2006)18.0%19.0%18.5%16.9%
 10 (2007)24.6%24.6%18.5%24.3%
 11 (2008)26.1%25.7%18.5%26.7%
 12 (2009) 31.3%30.6%18.5%32.1%
Region
New England 5.0% 5.5% 5.1% 4.6%
New York10.9% 13.5%10.7%9.9%
Mid-Atlantic 9.6% 10.5%11.0%7.6%
Southeast15.3% 17.4%14.8%14.9%
Great Lakes19.8% 18.4%22.4%17.5%
South Central 7.8% 8.9% 7.3% 7.8%
Midwest 6.8% 6.4% 7.2% 6.7%
Mountains and Plains 4.0% 2.6% 3.5% 5.3%
Pacific Southwest 11.5% 10.1%9.9% 14.0%
Pacific Northwest9.2% 6.8% 8.1% 11.8%

aall values 0.001.
(b)

Percentage of people having bone density testa
TotalLess than high schoolHigh schoolMore than high school
Variable( )( )( )( )

All Subjects 74.4%62.7%73.8%81.0%
Age
 65–74 76.9%64.6%75.9%83.0%
 75+ 71.0%60.8%71.1%77.8%
Body mass index
 Not obese BMI 30 75.9%63.8%75.1%82.4%
 Obese BMI 30 70.3%60.0%70.5%76.5%
Marital status
 Married 78.0%66.0%77.1%84.0%
 Nonmarried 71.2%60.6%70.8%78.2%
Smoking status
 Every or some days64.2%55.1%64.1%71.5%
 Not at all75.4%63.7%74.8%81.8%
Cohort
 9 (2006)70.9%59.6%69.9%78.5%
 10 (2007)73.3%61.5%73.2%79.5%
 11 (2008)75.0%63.2%74.3%81.5%
 12 (2009)76.8%65.0%76.3%83.0%
Region
New England 80.8%71.5%80.5%86.8%
New York76.6%66.9%76.5%83.3%
Mid-Atlantic 71.5%57.4%71.1%82.1%
Southeast76.5%64.9%76.9%83.0%
Great Lakes73.7%61.6%73.1%81.1%
South Central 73.6%61.7%73.4%80.6%
Midwest 75.8%61.9%75.1%83.4%
Mountains and Plains 73.5%59.3%70.8%79.0%
Pacific Southwest 71.9%59.4%70.8%77.4%
Pacific Northwest72.6%60.4%70.6%77.7%

Logistic regression analysis
UnivariableMultivariableb
VariableOR (99% CI)OR (99% CI)

Education level
 HS = 1 versus less HS = 0 1.68 (1.63, 1.73)1.61 (1.56, 1.66)
 More HS = 1 versus Less HS = 0 2.54 (2.46, 2.63)2.39 (2.31, 2.47)
Age
 65–74 versus 75+1.36 (1.33, 1.40)1.32 (1.28, 1.35)
Body mass index
 BMI 30 versus BMI 301.33 (1.29, 1.36)1.39 (1.35, 1.43)
Marital status
 Married versus nonmarried1.43 (1.40, 1.47)1.28 (1.24, 1.31)
Smoking status
 No versus yes1.72 (1.78, 1.64)1.75 (1.82, 1.67)
Cohort (reference = cohort 9)
 Cohort 10 versus cohort 91.13 (1.09, 1.17)1.13 (1.09, 1.17)
 Cohort 11 versus cohort 91.23 (1.19, 1.28)1.24 (1.19, 1.29)
 Cohort 12 versus cohort 91.36 (1.31, 1.41)1.35 (1.30, 1.40)

aAll values < 0.001.
bMultivariable model including education, age, body mass index, marital status, smoking status, cohort, and region.