The participants ranged in age from 67 to 97, with a mean age of 75.3. Men comprised 37.5% of the sample. The participants were relatively well-educated, reporting an average of 13.1 years of education. The average family had an annual income between $16,000 and $24,999. Based on their reported physical activity, African-American participants in CHS expended about 1,500 kcals per day above basal metabolic rate. Only 12% of African-American women were taking estrogen. Few of the participants screened positive for depression. Five-to 6% of the participants reported difficulty with more than one ADL or IADL, and 63.5% reported their health as good or better. Seventy-five percent of the cohort was overweight, defined as a BMI >25.0 kg/m2.
Among whites, gender is known to play an important role in bone density. In regression models, including men and women, sex was highly associated with BMD (p<0.001), explaining 34.7%, 25.0% and 10.2% of the variability for BMD of the total body, total hip, and lumbar spine, respectively.
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Table 1. Means and Standard Deviations (Where Appropriate), P Values for Investigated Variables
|
Variable (Number) |
Mean |
Standard Deviation |
Smallest P Value, Any Site All Women Men |
||
| Age in years (302) | 75.3 |
5.1 |
0.004 |
0.002 |
0.015 |
| % men (302) | 37.5% |
<0.001 |
|||
| Education in years (302) | 13.5 |
4.6 |
0.856 |
0.484 |
0.34 |
| Income group* (289) | 4.05 |
1.92 |
0.003 |
0.163 |
0.825 |
| ADLf Score (297) | 0.344 |
0.728 |
0.146 |
0.083 |
0.561 |
| IADL* Score (302) | 0.533 |
0.924 |
0.012 |
0.345 |
0.086 |
| Drinks per week (301) | 1.64 |
4.95 |
0.039 |
0.514 |
0.312 |
| Depression score (302) | 5.78 |
5.27 |
0.099 |
0.679 |
0.459 |
| Self-rated health (301) | 3.057 |
0.927 |
0.376 |
0.436 |
0.501 |
| Pack years smoked (286) | 13.69 |
19.35 |
0.310 |
0.165 |
0.137 |
| Weight in lbs. (301) | 171 |
31.1 |
<0.001 |
O.OOl |
<0.001 |
| Standing height cm (302) | 165 |
8.9 |
O.001 |
0.007 |
0.08 |
| BMI§ kg/cm2 (302) | 28.7 |
5.02 |
<0.001 |
<0.001 |
O.001 |
| Kcals of physical activity (302) | 1098 |
1330 |
0.641 |
0.305 |
0.523 |
| Calcium supplement use (301) | 8% |
0.133 |
0.232 |
0.125 | |
| Hydrochlorothiazide use | 22% |
0.277 |
0.155 |
0.47 | |
| Oral steroid use | 3% |
0.174 |
0.087 |
0.28 | |
| Currently using estrogen (189) | 12% |
0.167 |
|||
| Smoked during last 30 days (300) | 14% |
0.343 |
0.101 |
0.319 | |
| * 1<$5,000, 2=$5,000-$7999, 3=$8,000-$l 1,999. 4=$12,000-$ 15,999, 5=$16,000-$24,999, 6=$25,000-$34,999, 7=$35,000-$49,999, 8=$50,000-$74,999, 9=$75,000-$99,999, 10>=$100,000;f Activities of daily living score;
* Instrumental activities of daily living score;§ Body mass index |
|||||
Table 1 reports the means and standard deviations (where applicable) of variables that were tested. Due to the exploratory nature of this analysis, only the p value for most significant BMD site is reported. The correlations are reported for the entire sample, women and men. Many of these variables may be collinear with gender and, thus, appear in this univariate analysis to be significant for the entire sample and not in the gender-specific analysis. There was no significant correlation noted (p>0.1) for calcium supplementation, thiazide diuretic use or kcals of physical activity contrary to what has been reported in the literature. Steroid use was marginally significant in women (p=0.087) but not in the combined group or the men alone. (There were no data from CHS available on dietary intake or family history.) Table 2 provides a comparison of BMD between African-American and white participants in the CHS. Among African-American women, current estrogen use failed to show a significant association with BMD at any of the three tested sites (total body: p=0.60, total hip: p=0.25, lumbar spine: p=0.56). However, only 12% of African-American women were taking estrogen at the time of the BMD measurements. online pharmacy no prescription
Table 2. Mean and Standard Deviation for BMDs in African Americans and Whites
| Race (N) | Total Body gm/cm2 ± SD* | Total Hip gm/cm2 ± SD | Lumbar Spine gm/cm2 ± SD | |
| Women Men |
African Americans (188) Whites (726) African Americans (114) Whites (542) |
1.027 ±0.118 0.927 ±0.106 1.210 ±0.113 1.134 ± 0.121 | 0.848 ±0.152 0.722 ±0.131 1.035 ±0.166 0.921 ±0.158 | 1.048 ± 0.239 0.908 ± 0.228 1.215 ±0.256 1.117 ±0.239 |
| *Grams per centimeter squared plus or minus the standard deviation. | ||||
Table 3 shows the results of the final regression models for BMD. The percent R2 for any variable that entered the model is included. (Those with an R2 of less than 1% are not shown.) The addition of weight to the models eliminated BMI; weight but not height2 was significantly correlated with BMD (Table 4).
Table 3. Percent Variability Explained by Individual Variables
|
Total Body P R2(%) |
Total Hip P R2(%) |
L Spine P R2 (%) |
|||
| Women | |||||
| Weight <0.001 |
16 |
O.001 |
21 |
O.001 |
14 |
| Income group* 0.004 | 1 |
0.034 |
3 | ||
| Health compared to others** 0.027 | CO |
0.009 |
со | ||
| Age 0.051 |
2 |
0.002 |
4 |
||
| Men | |||||
| Weight O.001 |
11 |
<0.001 |
27 |
0.001 |
10 |
| Current smoker |
0.141 |
2 | |||
| *1 <$5,000, 2=$5,000-$7999, 3=$8,000-$l 1,999, 4=$12,000-$ 15,999, 5=$16,000-$24,999, 6=$25,000-$34,999, 7=$35,000-$49,999, 8=$50,000-$74,999, 9=$75,000-$99,999, 10>=$100,000; ** 5 = excellent, 4 = very good, 3 = good, 2 = fair, 1 = poor | |||||
Age has a strong, negative correlation with BMD in whites. Age similarly showed a negative correlation with BMD at all three sites in this cohort of African-American women and men over 64 years old. However, in African-American women, age contributed just 2% of the variability in total body BMD, and only 4% of the variability in the total hip. It did not enter the model for lumbar spine in women or for any of the BMD sites in men. cialis canadian pharmacy
Table 4. Partial Correlations of Weight and Height Squared with BMD
|
Total Body Parital Correlation p |
Total Hip Parital Correlation p |
LS Spine Parital Correlation |
P |
|||
| Women | ||||||
| Weight |
0.32 |
O.001 |
0.409 |
O.001 | 0.229 | O.001 |
| Height2 |
0.053 |
0.474 |
0.017 |
0.813 | 0.07 | 0.346 |
| Men | ||||||
| Weight |
0.303 |
0.001 |
0.533 |
O.001 | 0.282 | 0.002 |
| Height2 |
0.066 |
0.489 |
-0.145 |
0.128 | 0.066 | 0.485 |
Figure 1. Total Hip BMD as a Function of Tertiles of BMI and Weight
Weight was strongly and positively correlated with BMD at all three sites in both men and women. The use of BMI, weight/(height), was less powerful in predicting BMI than weight alone. Figure 1 shows the relationship of BMI and weight to BMD for the total hip in African-American women. For a given tertile of weight, the contribution of BMI remains essentially constant from low to high, demonstrating that BMI’s relationship to BMD is driven almost entirely by weight alone. Similar relationships were seen at the other two sites in women and all three sites in men. kamagra tablets
Figure 2. Association of Weight in Pounds and BMD at the Total Hip
Figure 2 plots the correlation of BMD and weight and shows the relationship of weight to BMD for total hip. The mg/cm2 change in BMD per kg of weight ranged from 5.3 to 6.8.


































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