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Journal of Bone and Mineral Research logoLink to Journal of Bone and Mineral Research
. 2009 Apr 27;24(10):1728–1735. doi: 10.1359/JBMR.090419

Loss of Hip BMD in Older Men: The Osteoporotic Fractures in Men (MrOS) Study

Peggy M Cawthon 1, Susan K Ewing 2, Charles E McCulloch 2, Kristine E Ensrud 3, Jane A Cauley 4, Steven R Cummings 1, Eric S Orwoll, for the Osteoporotic Fractures in Men (MrOS) Research Group5
PMCID: PMC2743283  PMID: 19419308

Abstract

Previous studies in older men have not evaluated whether loss of BMD or BMC accelerates nonlinearly with age. This study aimed to describe hip bone loss (both in BMC and BMD) in older men and to test whether BMD loss accelerates with age in an exponential manner in a cohort of 4720 community-dwelling men ≥65 yr of age. Men had two to three measures of femoral neck (FN) BMD (by DXA) over an average follow-up of 4.6 yr. Change in BMD during follow-up was estimated from mixed effects regression models; the significance of a quadratic term for age was evaluated. Mean FN BMD loss was 0.013 g/cm2 (−1.72%) during follow-up. The quadratic term for age was significant, and the model showed that bone loss accelerated with age. Estimated loss of FN BMD over follow-up for men 85 yr of age (0.021 g/cm2) was 2.5 times greater than the loss expected for men 65 yr of age (0.008 g/cm2); such bone loss in 85-yr-old men may be sufficient to increase the risk of hip fracture by 25% (HR per 0.021 g/cm2 cross-sectional decrease in FN BMD: 1.25; 95% CI: 1.18–1.31) over 4.6 yr. Men with lower BMD at baseline lost the most BMD over follow-up. Although average bone loss over time is modest in older men, there is considerable variability in rate of loss. Older men and those with lower BMD lose bone more rapidly, offering potential explanation for the increasing risk of fracture with advancing age.

Key words: epidemiology, BMD loss, BMD, BMC

INTRODUCTION

Fractures are a major health problem for the older population in the United States, even in older men, as about one third of hip fractures occur in men.(1) BMD is a major determinant of fracture risk in older men.(2,3) For example, in the Osteoporotic Fractures in Men (MrOS) Study, each SD decrease (SD = 0.137 g/cm2) in total hip BMD was associated with a 3.2-fold increase in the risk of incident hip fracture.(2)

Loss of hip BMD has been shown to increase linearly with age in women(49); many reports for men have been published.(1025) However, the reports in men are limited to small studies of <350 older men(1017,20,23,25); studies with few participants over age 80(14,1825); studies that used differing absorptiometry machines between visits to determine change(10,12,16); and studies that observed change over <2 yr.(18) Other studies have focused on particular predictors of BMD loss, such as renal function or medication use, and have not focused on the patterns of BMD loss seen with age.(2632) No previous study has formally examined heterogeneity in rates of change or evaluated whether BMD loss accelerates in a nonlinear manner with age in older men using longitudinal data.

The aim of these analyses was to describe hip bone loss (both in BMD and BMC) in older men; to test whether BMD is lost with age in a nonlinear manner; and to describe basic differences between men who maintain bone, men who lose bone at an expected rate, and men who have accelerated BMD loss.

MATERIALS AND METHODS

Participants

The MrOS study enrolled 5995 men between March 2000 and April 2002 at six U.S. clinical sites (Birmingham, AL; Minneapolis, MN; Palo Alto, CA; Monongahela Valley near Pittsburgh, PA; Portland, OR; and San Diego, CA). The study has been described in detail elsewhere.(33,34) Briefly, to be eligible to participate, men must have been ≥65 yr of age, able to walk without assistance of another person or aide, and not have had bilateral hip replacements. The baseline exam included various clinical tests; DXA (Hologic, Waltham, MA, USA) scans of the hip, spine, and whole body; and a self-administered questionnaire. Most of the men enrolled at the baseline exam (N = 5282, 88.1%) were asked to participate in an ancillary study designed to understand consequences of sleep disorders in older men. Of the participants asked to participate, 3285 (62.2%) were enrolled in the “Sleep Visit” between December 2003 and March 2005. All surviving participants were invited to return to the clinic to repeat the baseline visit measurements during visit 2 (March 2005 to May 2006); 4530 (83.5% of survivors) completed at least part of visit 2. Hip and whole body DXA scans were completed at all visits; participants were scanned on the same machine at each clinic. Of the 5995 MrOS participants, 4720 (78.7% of baseline participants) had DXA on at least two of the three visits: 2842 (47.4%) had data on all three visits, 1627 (27.1%) had data at baseline and visit 2 only, and 251 (4.2%) had data at baseline and sleep visit only. A number of participants (N = 1275, 21.3%) did not have follow-up measures of BMD (thus only had a single measure at baseline) and were excluded from analyses; of these, 48.2% died and 8.1% terminated participation during follow-up through August 3, 2007. Average time between the baseline and sleep visit scans was 3.39 ± 0.48 (SD) yr; between baseline and visit 2 was 4.57 ± 0.35 yr.

DXA measurement of BMD, BMC, and femoral neck area

Centralized quality control procedures, certification of DXA operators, and standardized procedures for scanning were used to ensure reproducibility of DXA measurements. At baseline, a set of whole body, spine, hip, and linearity phantoms were circulated and measured at the six clinical sites. The variability across clinics was within acceptable limits, and cross-calibration correction factors were not required. To adjust for interclinic differences, statistical models include indicator variables for the individual scanners. Each clinic scanned a spine and hip phantom throughout the study to monitor longitudinal changes in measures of BMD and BMC, and correction factors were applied to participant data as appropriate. The precision of DXA scans of the spine and hip is 1–2%.(35) For measures of soft tissue (such as total body lean mass and total body fat mass), each clinic scanned a Hologic whole body phantom throughout the study to monitor longitudinal changes, and correction factors were applied to participant data as appropriate.

The participant's right hip was scanned unless there was a fracture, implant, hardware, or other problem preventing the right hip from being scanned; in those instances, the left hip was scanned. A participant had the same hip scanned at all visits unless he had to switch sides for one of these reasons. If, during the study, a different hip side or scan mode was used, scans at later visits were matched to the first scan of the new hip side or scan mode; scans using the previous side or mode were set to missing.

Other measures

Height was measured using stadiometers and weight with balance beam scales (except at the Portland site which used a digital scale). Body mass index (BMI) was calculated as weight (kg)/height (m)2. Race was by self-report; smoking and history of fracture were ascertained from questionnaires and alcohol use during a clinic interview.

Statistical analysis

Random effects regression models (PROC MIXED procedure in SAS Version 9.1.3, SAS Institute, Cary, NC, USA) were used to determine the amount of loss in BMD or BMC during follow-up for each participant. Random effects models account for between-subject variation and within-subject correlations between repeated bone measurements. Our models allow each participant to have a unique intercept (baseline bone level) and trajectory (change in bone). Model coefficients were estimated using the maximum likelihood method. Time was modeled as age at the time of each bone measurement, centered to the mean age of 75.7 yr. Fixed effects included clinical center and weight at baseline.

We tested whether bone loss (BMD or BMC) increased nonlinearly with increasing age by testing the significance of a quadratic term for age.

Mixed models were run to obtain each man's estimated BMD and BMC at each visit; his bone change between baseline and visit 2 was estimated as the difference of his predicted values at baseline and visit 2. The average time between visits was 4.6 yr. Change is reported as the absolute change or percent change (the difference expressed as a percentage of the baseline value). Two sets of regression models were run, resulting in two versions of each bone change variable for each participant: clinical center–adjusted models (“center-only models”) and clinical center– and weight-adjusted models (“weight-adjusted models”). Because age was included in the models as the variable for modeling time, models were not further adjusted for age. The model used was a random slopes and intercepts model, which does not automatically provide a between versus within variance decomposition. However, we were able to calculate the decomposition at the mean age, which we present. Thus, to describe the sources of variability in the models, total variance was decomposed into between-subject variation and within-subject variation. Between-subject variation is a measure of the difference between participants, whereas within-subject variation is composed of both the biological variation within an individual and the variation caused by measurement error. In the center only– and weight-adjusted models, the between-subject variation was calculated as a percentage as follows: (random intercept variance/total variance) × 100. Within-subject variation was also calculated as a percentage: (residual variance/total variance) × 100.

Using the center only models, a participant was considered to have “maintained” BMD if his estimated change was ≥0 (no change or increased) during follow-up; to have “expected loss” if his change was between no change and 1 SD below the mean change (1 SD below mean = −0.034 g/cm2 for femoral neck [FN] BMD); and to have “accelerated loss” if his change was ≥1 SD below the mean change. Similar approaches for classifying bone loss have been used for populations of older women.(36) Observed FN BMD for each participant's visits was plotted for 50 men selected at random from each bone loss group to provide a graphical representation of the variation in BMD loss seen in older men.

The main BMD and BMC analyses used FN as the region of interest. For comparison, all models were also run for the total hip. Change in BMD and BMC was also calculated for the trochanter and intertrochanter.

To compare characteristics by category of change in FN BMD (maintenance, expected, or accelerated loss), ANOVA F-tests were used for normally distributed continuous data, Kruskal-Wallis tests were used for skewed continuous data, and χ2 tests were used for categorical variables.

ANOVA tests were used to compare weight- and clinic-adjusted mean absolute and percent change in bone (BMD and BMC) during follow-up at the FN and total hip by quartiles of the baseline bone characteristics (BMD, BMC, and FN for FN models only), with results presented as adjusted means and p for trend across the bone quartiles; results are reported graphically.

We also estimated if the expected decrease in hip BMD was related to an increased risk of hip fracture. This was done using the expected rate of BMD loss over a 4.6-yr follow-up for various ages (65 yr old, 85 yr old) as predictors in proportional hazards models for time to hip fracture (from baseline). Similar models were run using BMD as a time-dependent covariate.

RESULTS

During an average of 4.6 yr of follow-up, average crude change in BMD at the FN was −1.72% (−0.013 g/cm2; range, −0.228 to 0.080 g/cm2) and average change at the total hip was −1.82% (−0.017 g/cm2; range, −0.184 to 0.068 g/cm2; Table 1). Change in BMC was similar to change in BMD: average BMC change at the FN was −1.43% (−0.059 g; range −0.887 to 1.28 g), whereas average BMC change at the total hip was −1.06% (−0.399 g; range, –5.751 to 6.093 g). FN area slightly increased with age, 0.44% during follow-up (0.024 cm2; range, −0.168 to 0.825 cm2). After adjustment for baseline weight, the estimated average hip BMD loss was somewhat reduced in magnitude.

Table 1.

Estimated Change in BMD and BMC at Various Regions of the Proximal Femur Between Baseline and Visit 2 (Average Follow-Up, 4.6 yr) for Men ≥65 yr of Age [Mean (SD)]

BMD
BMC
Absolute change (g/cm2) Percent change (%) Absolute change (g) Percent change (%)
Femoral neck
 Crude −0.0129 (0.0216) −1.72 (2.79) −0.059 (0.122) −1.43 (2.85)
 Weight adjusted −0.0124 (0.0214) −1.66 (2.77) −0.052 (0.120) −1.28 (2.79)
Trochanter
 Crude −0.0115 (0.0242) −1.60 (3.32) −0.106 (0.240) −1.21 (2.39)
 Weight adjusted −0.0113 (0.0241) −1.56 (3.31) −0.085 (0.235) −0.99 (2.33)
Intertrochanter
 Crude −0.0214 (0.0281) −2.02 (2.69) −0.240 (0.573) −1.03 (2.28)
 Weight adjusted −0.0209 (0.0280) −1.97 (2.68) −0.202 (0.560) −0.86 (2.21)
Total hip
 Crude −0.0167 (0.0264) −1.82 (2.90) −0.399 (1.040) −1.06 (2.62)
 Weight adjusted −0.0164 (0.0263) −1.78 (2.89) −0.358 (1.025) −0.96 (2.57)

Older age at baseline was strongly associated with increasing BMD loss at the FN. The β-coefficient for the age2 (quadratic) term in clinical center–adjusted models was strongly statistically significant for the FN (β = 0.00007) and the total hip (β = 0.00013; p < 0.001 for both). The shape of the curve described by the model indicated that bone loss accelerated with each additional year of age in a nonlinear manner. Although the β-coefficient appeared small in magnitude, there were substantial differences in average bone loss between men at younger ages (∼65 yr) compared with men at very old ages (≥85 yr). For example, over an average of 4.6 yr, men 65 yr of age had an estimated loss of 0.008 g/cm2 at the FN; men 75 yr of age had 0.014 g/cm2; and men 85 yr of age had 0.021 g/cm2. Overall, men 85 yr of age at baseline were estimated to lose >2.5 times as much FN BMD during follow-up than men 65 yr of age at baseline, regardless of the baseline level of BMD. These changes are shown in Fig. 1.

FIG. 1.

FIG. 1

Estimated change in FN BMD over 4.6 yr for men 65, 75, and 85 yr at the baseline exam.

In general, the higher the value of baseline BMD, the smaller the magnitude of loss in hip BMD and BMC (Fig. 2). This was more pronounced for change in BMC than for change in BMD for both the FN and total hip. Smaller FN area at baseline was modestly associated with greater loss of FN BMD over follow-up. Conversely, larger FN area at baseline was associated with greater loss in FN BMC over follow-up.

FIG. 2.

FIG. 2

Average percent loss* in BMD and BMC in older men over 4.6 yr, by quartile of baseline BMD, BMC, or area. *Change in BMD or BMC is estimated from mixed models adjusted for clinical center and weight. Age was entered in to the mixed effects models as the term for time; therefore, all models have accounted for age. For all measures, quartile 1 has the lowest values and quartile 4 has the highest values; p values are tests for trend; vertical bars denote 95% CIs. Cut-points for quartiles are as follows—femoral neck BMD (g/cm2): <0.701, 0.701 to <0.777, 0.777 to <0.862, and ≥0.862; femoral neck BMC (g): <3.94, 3.94 to <4.40, 4.40 to <4.93, and ≥4.93; femoral neck area (cm2): <5.41, 5.41 to <5.68, 5.68 to <5.96, and ≥5.96; total hip BMD (g/cm2): <0.869, 0.869 to <0.955, 0.955 to <1.053, and ≥1.053; total hip BMC (g): <36.6, 36.6 to <41.3, 41.3 to <46.5, and ≥46.5.

Although the average rate of loss was modest, there was variability in the rate of change in hip BMD in this cohort of older men. At the FN, 1149 (24.3%) participants maintained or increased BMD during follow-up, 2982 (63.2%) had “expected loss,” and 12.5% experienced “accelerated loss” (N = 589; Table 2). The mean change in FN BMD in the three groups over follow-up was increase of 0.012 g/cm2 (+1.5%) in the maintained group; loss of 0.015 g/cm2 (−2.0%) in the expected loss group; and a loss of 0.050 g/cm2 (−6.6%) in the accelerated loss group. These differences are shown in Fig. 3. Similar variability in rate of loss was present in all age groups. Whereas older men (≥80 yr of age) tended to lose bone more quickly, 15.3% (N = 103) were classified in the maintained group. Younger men (65–70 yr of age) tended to lose bone more slowly; however, 7.6% (N = 116) of younger men were classified in the rapid loss group.

Table 2.

Characteristics of the MrOS Cohort [Mean ± SD or N (%)] by Category of Estimated Change in FN BMD*

Maintenance of BMD [N = 1149 (24.3%)] Expected loss of BMD [N = 2982 (63.2%)] Accelerated loss of BMD§ [N = 589 (12.5%)] p
Age (yr) 72.2 ± 5.1 72.9 ± 5.5 75.4 ± 5.9 <0.0001
Weight (kg) 85.5 ± 13.5 82.7 ± 12.6 83.3 ± 14.1 <0.0001
Height (cm) 174.8 ± 6.9 174.5 ± 6.7 173.6 ± 7.0 0.001
Total body fat mass (kg) 22.7 ± 7.2 21.3 ± 6.8 21.9 ± 7.5 <0.0001
Total body lean mass (kg) 59.3 ± 7.6 58.0 ± 7.2 57.6 ± 7.5 <0.0001
BMI (kg/m2) 28.0 ± 3.9 27.2 ± 3.6 27.6 ± 4.2 <0.0001
White race 1014 (88.3) 2704 (90.7) 537 (91.2) 0.043
History of fracture 621 (54.1) 1672 (56.1) 331 (56.2) 0.4734
Smoking status
 Never 428 (37.3) 1166 (39.1) 239 (40.6) 0.073
 Former 696 (60.6) 1718 (57.6) 326 (55.4)
 Current 25 (2.2) 97 (3.3) 24 (4.1)
Alcohol use
 None 357 (31.1) 1008 (33.8) 213 (36.2) 0.153
 Light 641 (55.8) 1633 (54.8) 313 (53.2)
 Heavy/moderate 150 (13.1) 338 (11.4) 62 (10.5)
Baseline femoral neck BMC (g) 4.588 ± 0.833 4.431 ± 0.726 4.476 ± 0.818 <0.0001
Baseline femoral neck BMD (g/cm2) 0.803 ± 0.137 0.779 ± 0.120 0.795 ± 0.136 <0.0001
Change in femoral neck BMD (%) 1.48% (1.41) −1.99% (1.28) −6.62% (2.46) <0.0001
Baseline femoral neck area (cm2) 5.72 (0.45) 5.69 (0.41) 5.64 (0.50) 0.003
Change in femoral neck area (%) 0.39% (0.68) 0.45% (0.63) 0.48% (0.46) 0.020

* Change in BMD is estimated from clinical center adjusted mixed models.

Change ≥0: no change or increase.

Change between no change (0) and 1 SD below mean change; cut-points are 0 to –0.034 g/cm2.

§ Change ≥1 SD below mean change; at least –0.034 g/cm2 loss.

p value from ANOVA (continuous variables) or χ2 test (categorical variables).

FIG. 3.

FIG. 3

Individual change in FN BMD in older men during an average of 4.6 yr of follow-up by category of BMD loss. For each category of bone loss, 50 participants were selected at random to have data graphically displayed. Each line represents a single participant.

Most of the variation in BMD or BMC was caused by between-person variability: only 1.3–3.0% of the total variation in each of the BMD models was caused by within-person variation. The within-person variation for BMC was somewhat higher: 2.1–6.3% of the variation in each of the BMC models was caused by within-person variation. The largest within-person variation was seen for the FN area, as 14.1–15.2% of the FN variation was caused by within-person variation.

Maintenance of BMD was associated with younger age, greater baseline weight and height, higher total body fat and lean mass, higher BMI, and higher FN BMD and BMC at baseline (p ≤ 0.001 for all; Table 2). Men who reported white race were somewhat more likely to have expected or accelerated loss of BMD during follow-up compared with other races (p = 0.043). Neither fracture history, smoking status, nor alcohol use at baseline was significantly different between the categories of BMD change. FN area was associated with the bone loss category. Men who were classified into higher bone loss categories had smaller FN area at baseline (p = 0.003) and a greater increase in FN area over time (p = 0.020).

A cross-sectional decrease of 0.008 g/cm2 in baseline BMD (Fig. 1), equivalent to the estimated amount of FN BMD lost for a 65-yr-old man during average follow-up, is associated with a small increase in the risk of hip fracture of 9% (RH per each 0.008 g/cm2 cross-sectional decrease in femoral neck BMD: 1.09; 95% CI: 1.07, 1.11) over an average follow-up of 6.5 yr. A difference in baseline BMD of 0.021 g/cm2, the average amount of FN BMD lost for a 85-yr-old man during follow-up, is associated with a larger increase in the risk of hip fracture, an increase of 25% (RH per each 0.021 g/cm2 cross-sectional decrease in FN BMD: 1.25; 95% CI: 1.18–1.31) over an average follow-up of 6.5 yr. Use of models that incorporated BMD as a time-dependent covariate yielded similar results.

DISCUSSION

Although the average loss of BMD is modest in magnitude in healthy, ambulatory older men, BMD loss accelerates with each additional year of age; men 85 yr of age lose BMD more than twice as fast as men 65 yr of age. Several baseline characteristics, including lower baseline BMD and BMC and decreased body weight were associated with higher bone loss during follow-up.

The amount of BMD lost during follow-up in this cohort may be sufficient to considerably influence fracture risk, as seen from the results of cross-sectional differences in BMD in this cohort. A difference of 0.021 g/cm2 of FN BMD, the expected amount of bone loss that occurred in men 85 yr of age at baseline over 4.6 yr of observation, translates to a 25% increased risk of hip fracture over follow-up for the whole cohort of 6.5 yr. Thus, the changes in BMD in this cohort, especially among the very old, may translate to significant increases in fracture risk. We also found that bone loss accelerated with aging, and this result may provide at least partial explanation for the exponential increase in the risk of fracture that occurs with aging.(37) Consistently, some(16,24) but not all others report(13) men with the lowest BMD at baseline lost bone most rapidly, suggesting that those already at highest risk of fracture are at an even higher risk as age advances and bone loss continues to increase.

There was considerable variation in the amount of BMD loss over time. Although older men tended to lose more bone, there was variability in the rates of loss at all ages. The majority of the variation in the amount of BMD loss over time was due to between-subject variation, which suggests that factors that differ between participants, rather than measurement error, explains the variation in BMD loss in this cohort. This also implies that the mechanisms underlying bone loss differ among older men, and we were able to identify some factors that were associated with higher loss: age, baseline BMD and lower weight. Adjustment for weight at baseline somewhat reduced the adjusted absolute and percent change for all hip locations, consistent with previous data from this(38) and other cohorts.(10,12,24) Several factors, including smoking, fracture history, and alcohol use, likely risk factors for fracture in older people,(39,40) were not associated with accelerated BMD loss. Because both a single measure of BMD(2,3,41) and change in BMD(42) are strongly associated with fracture risk, understanding the source of variation in change in BMD is important for future research.

A subset of men had more rapid loss of BMD with aging. As expected, men with accelerated bone loss were, on average, older than men who maintained BMD. However, the age range of men in the accelerated loss group was wide, as even men in their 60s and 70s were classified as having accelerated loss (Fig. 3). On the other hand, there was a narrower range of age for men who maintained BMD; the age of men in this group appeared to cluster around the younger ages, and only a few men in this cohort maintained BMD into their 80s.

Changes in measured FN bone area may be caused by either true changes in bone size (from the postulated phenomenon of periosteal apposition(19,43)) or artifactual changes caused by measurement error. In these analyses, the factor with the most with-in person variability was FN area, which suggests that the FN area measure has a fair amount of measurement error. Increasing bone width (and thus area) over time without change in BMC would result in a decline in measured BMD. In this cohort, there was evidence for increasing FN area over time. Whereas it is not possible to determine whether the changes in bone size seen in MrOS are caused by periosteal apposition or measurement error or a combination of these factors, it is likely that at least some of the BMD loss observed in the cohort is caused, in part, by increasing FN area rather than loss of mineral per se. However, in these analyses, the amounts of BMC lost over time are similar in magnitude to the amount of BMD lost over time, suggesting that decreased BMC, rather than increasing bone area alone, primarily explains the decline of BMD observed. Other imaging modalities, such as central or pQCT, should be used to better understand volumetric and compartmental changes in bone over time in older adults.

Changes in BMD, BMC, and FN area are reported as absolute or percent change during follow-up. Because the rate of bone loss increases nonlinearly as age increases, the rate of bone loss and percent change variables were not annualized across all years of follow-up. Annualized rates would overestimate bone loss at younger ages and underestimate bone loss during later years; this would be a particular problem at older ages as the bone loss per each extra year of life increases nonlinearly with age. Inability to report these results as annualized changes limits the comparison of these data to those from other cohorts. Studies from other cohorts have reported a range of decline in BMD for men of similar ages. Estimates of annual rates of change in BMD at the FN range from −0.19%/yr(14) to −0.40%/yr(18) in men ≥50 yr of age. One study reported extremely high rates of FN bone loss in older men (> −2%/yr); the higher rates observed in this outlying study may have been caused by the use of data from two different models of DXA scanners to ascertain change (Holgoic 2000 versus 4500)(16) To compare results from these other studies with those from MrOS, we estimated the amount of bone loss that would have been observed during the MrOS follow-up time for each cohort that reported an annualized rate of FN bone loss; data from the outlying study were ignored. Had the same follow-up time (average, 4.6 yr) been observed in these other cohorts as in MrOS, the range of decline would have been between −0.87% and −1.84% in the other studies over the follow-up period seen in MrOS. Our estimate of FN bone loss during follow-up (−1.72%) falls within this range.

This study has several strengths. MrOS is a very large, well-characterized cohort with repeat measures of BMD and BMC completed on the same absorptiometry machines over time. Rigorous cross-sectional and longitudinal quality assurance procedures were used for measures of bone mass, content, and area. The use of mixed effects models allows for multiple data points per participant and different intervals between visits and accounts for between- and within-subject variability. However, a few limitations should be noted. The amount of change observed in this cohort is very small and may approach the limits of precision of the DXA scanners. Additionally, the MrOS participants were quite healthy and ambulatory at baseline, and participants who returned for subsequent visits and DXA scans were healthier than participants who did not return to the clinics. Thus, application of these results to other populations, such as the infirm or institutionalized, may be limited. It is likely that the estimates of BMD loss from this cohort underestimate the “true” amounts of bone loss that would be observed in the general older population, because men with the most bone loss are perhaps the least likely to be scanned at follow-up visits.

In conclusion, hip bone loss, on average, is modest in magnitude in older men, although there is variation in the amount of BMD loss over time. Loss of BMD accelerates with increasing age and is the most rapid in those who have the lowest BMD at baseline. These decrements in BMD over time are likely to be associated with an increased hip fracture risk, and our findings provide insight into the increase in fracture risk that occurs with age. Future research should aim to further identify and characterize the subset of men who lose bone most rapidly and to understand the mechanism of loss.

ACKNOWLEDGMENTS

We thank Liezl Concepcion for administrative assistance with this manuscript. The Osteoporotic Fractures in Men (MrOS) Study is supported by National Institutes of Health funding. The following institutes provide support: the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), the National Institute on Aging (NIA), the National Center for Research Resources (NCRR), and NIH Roadmap for Medical Research under the following grant numbers: U01 AR45580, U01 AR45614, U01 AR45632, U01 AR45647, U01 AR45654, U01AR45583, U01 AG18197, U01-AG027810, and UL1 RR024140. The NIH had no direct role n the design and conduction of the study; collection, management, analysis, and interpretation of data; or preparation, review, or approval of the manuscript.

Footnotes

Drs. Cawthon and McCulloch have research support from Amgen. Dr. Cauley has research grants from Merck & Company, Eli Lilly & Company, Pfizer Pharmaceuticals, and Novartis Pharmaceuticals and honorarium from Novartis Pharmaceuticals. Dr. Orwoll has research grants from Amgen, Solvay Pharmaceuticals, and Eli Lilly & Company; honorarium from Merck; and consulting agreements with Merck, Eli Lilly & Company, and Servier. Drs. Ensrud and Cummings and Ms. Ewing state that they have no conflicts of interest.

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