help button home button Endocrine Society JCEM
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

Journal of Clinical Endocrinology & Metabolism , doi:10.1210/jc.2007-2644
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Chevalley, T.
Right arrow Articles by Rizzoli, R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Chevalley, T.
Right arrow Articles by Rizzoli, R.
Related Collections
Right arrow Pediatric Endocrinology
Right arrow Calcium and Bone Metabolism
Right arrow Female Endocrinology
The Journal of Clinical Endocrinology & Metabolism Vol. 93, No. 7 2594-2601
Copyright © 2008 by The Endocrine Society

Influence of Age at Menarche on Forearm Bone Microstructure in Healthy Young Women

Thierry Chevalley, Jean-Philippe Bonjour, Serge Ferrari and Rene Rizzoli

Division of Bone Diseases, World Health Organization Collaborating Center for Osteoporosis Prevention, Department of Rehabilitation and Geriatrics, Geneva University Hospitals and Faculty of Medicine, CH–1211 Geneva 14, Switzerland

Address all correspondence and requests for reprints to: Thierry Chevalley, M.D., Division of Bone Diseases, Department of Rehabilitation and Geriatrics, Geneva University Hospitals and Faculty of Medicine, Rue Micheli-du-Crest 24, CH–1211 Geneva 14, Switzerland. E-mail: Thierry.Chevalley{at}hcuge.ch.


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Background: Shorter estrogen exposure from puberty onset to peak bone mass attainment may explain how late menarche is a risk factor for osteoporosis. The influence of menarcheal age (MENA) on peak bone mass, cortical, and trabecular microstructure was studied in 124 healthy women aged 20.4 ± 0.6 (SD) yr.

Methods: At distal radius, areal bone mineral density (aBMD) was measured by dual-energy x-ray absorptiometry, and volumetric bone mineral density (BMD) and microstructure were measured by high-resolution peripheral computerized tomography, including: total, cortical, and trabecular volumetric BMD and fraction; trabecular number, thickness, and spacing; cortical thickness (CTh); and cross-sectional area (CSA).

Results: Median MENA was 12.9 yr. Mean aBMD T score of the whole cohort was slightly positive. aBMD was inversely correlated to MENA for total radius (R = –0.21; P = 0.018), diaphysis (R = –0.18; P = 0.043), and metaphysis (R = –0.19; P = 0.031). Subjects with MENA more than the median [LATER: 14.0 ± 0.7 (±SD) yr] had lower aBMD than those with MENA less than the median (EARLIER: 12.1 ± 0.7 yr) in total radius (P = 0.026), diaphysis (P = 0.042), and metaphysis (P = 0.046). LATER vs. EARLIER displayed lower total volumetric BMD (315 ± 54 vs. 341 ± 56 mg HA/cm3; P = 0.010), cortical volumetric BMD (874 ± 49 vs. 901 ± 44 mg HA/cm3; P = 0.003), and CTh (774 ± 170 vs. 849 ± 191 µm; P = 0.023). CTh was inversely related to CSA (R = –0.46; P < 0.001). In LATER reduced CTh was associated with 5% increased CSA.

Conclusions: In healthy young adult women, a 1.9-yr difference in mean MENA was associated with lower radial aBMD T score, lower CTh without reduced CSA, a finding compatible with less endocortical accrual. It may explain how late menarche is a risk factor for forearm osteoporosis.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
The notion that pubertal timing is related to the risk of osteoporosis during adult life has been so far primarily documented in female subjects. In postmenopausal women, later age at menarche was found to be associated with lower areal bone mineral density (aBMD) in the spine, radius, and proximal femur (1, 2, 3, 4). It was also associated with higher risk of hip (5, 6), vertebral (7), and forearm fractures (8). In premenopausal women early menarche is associated with higher aBMD (9, 10, 11).

Retrospective epidemiological surveys in premenopausal women provide indirect evidence that the association between menarcheal age (MENA) and osteoporosis risk may be related to the influence of pubertal timing on the attainment of peak bone mass (PBM). This association is usually considered as the expression of variation in the duration of exposure to estrogen (12, 13, 14).

The risk of fragility fracture is dependent upon the mass of mineralized tissue, its distribution within the bone, as well as of several microstructural components. In women a large portion of these different bone components that play a role in determining the mechanical resistance to loading is acquired by the end of the second or beginning of the third decade. During pubertal maturation, cross-sectional analysis of appendicular bone, at least in the upper limb, reveals distinct gender dimorphisms. In contrast to characteristics of male skeletal development during puberty, bone mineral mass in females increases more by endocortical than periosteal accrual (15, 16, 17). This increase in endocortical deposition is considered as a specific feature of estrogen exposure. Therefore, it is possible that the increased risk of fragility fractures observed in postmenopausal women with later menarche (5, 6, 7, 8) would be related, at least in part, to the influence of reduced estrogen exposure between the onset of pubertal maturation and the end of bone mass acquisition on the process of endosteal accrual. This would result in diminished cortical thickness (CTh) without reduction or even with an increase in cross-sectional area (CSA).

In the present investigation, we tested this hypothesis in a cohort of healthy female subjects followed from age 8–20 yr, during which time MENA was prospectively recorded.


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Participants

We studied 124 healthy women with a mean (± SD) age of 20.4 ± 0.6 yr. They belong to a cohort followed during 12 yr and previously examined at mean age 7.9, 8.9, 9.9 (18), 12.5 (19), and 16.4 yr (20). During 1 yr, between 7.9 and 8.9 yr of age, half the cohort received a supplementation of calcium in a randomized, double-blind, placebo-controlled design as previously reported (18). The ethics committee of the Department of Pediatrics of the University Hospitals of Geneva approved the protocol while informed consent was obtained from both parents and children. All subjects were recruited within the Geneva district.

Clinical assessment

Weight, standing height, and body mass index (BMI) (kg/m2) were measured. At the first examination when aged 7.9 ± 0.5 (SD) yr, all of them were prepubertal (stage P1) as assessed by a pediatrician-endocrinologist (18). The exclusion criteria were weight to height ratio less than the 3rd or more than the 97th percentile, physical signs of puberty, chronic disease, malabsorption, bone disease, and regular use of medication. MENA was then assessed prospectively by direct interview at the second, third, fourth, and fifth visits, i.e. at the mean age of 8.9, 9.9, 12.5, and 16.4 yr.

Assessment of calcium and protein intakes, and physical activity

Calcium and protein intakes were assessed by a frequency questionnaire (21, 22). The calcium intake was essentially recorded from dairy sources (21). The total protein intake was expressed either in g/d–1 or g/kg body weight (BW)·d–1. It included dairy, meat, fish, and egg proteins (22).

Physical activity was assessed by a questionnaire based on self-reported time spent on physical education classes, organized sports, recreational activity, usual walking, and cycling (23). Subsequently, the collected data were converted and expressed as physical activity energy expenditure (kcal/d–1) using an established conversion formula (24).

Bone variables

Volumetric bone density and microstructure were determined at the distal radius by high-resolution peripheral computerized tomography (HR-pQCT) on an XtremeCT instrument (Scanco Medical AG, Brüttisellen, Switzerland) that acquires a stack of 110 parallel computerized tomography slices (9-mm length) with an isotropic voxel size of 82 µm, as previously described (25). The site of the HR-pQCT scan was precisely delineated by positioning a reference line at the endplate of the radius. The first computerized tomography slice was 9.5-mmm proximal to the reference line. The following variables were measured: total (Dtot), cortical (Dcort), and trabecular (Dtrab) volumetric bone density (g hydroxyapatite per cm3); trabecular bone volume fraction (BV/TV) (%); trabecular number (TbN) (mm–1), thickness (TbTh) (µm), and spacing (TbSp) (µm); and mean CTh (µm) and CSA (mm2). The short-term reproducibility of HR-pQCT at the distal radius varied from 0.6–1.0% and from 2.8–4.9% for bone density and trabecular architecture, respectively. To compare these cortical and trabecular microstructure variables recorded at this skeletal site, aBMD (mg/cm2) and content (BMC) (mg) were determined in the radius (total, metaphysis, and diaphysis) by dual-energy x-ray absorptiometry (DXA) on a Hologic QDR-4500 instrument (Hologic, Inc., Bedford, MA) as previously reported (20). The coefficient of variation (CV) of repeated aBMD measurements as determined in young healthy adults varied between 1.0 and 1.6%.

Expression of the results and statistical analysis The various anthropometric and osteodensitometric variables are given as mean ± SD. The T score based on the reference range provided by the DXA manufacturer was used to assess whether the cohort mean value with a 95% confidence interval of radial aBMD could be considered as being at PBM. For all measured bone variables, the CVs were calculated as: CV = (SD/mean) x 100. Pearson’s correlation coefficients R were calculated for the relationships between aBMD and BMC of the radial metaphysis as determined by DXA, and bone structural elements of the distal radius as measured by HR-pQCT. The relationships between MENA and bone variables were examined by univariate and multiple regression analysis to adjust for calcium intervention, standing height, and BW. The cohort was also segregated according to the median of MENA. Menarche under and above the median age of the first menstruation occurrence was defined as "EARLIER" and "LATER," respectively. To compare on an identical quantitative scale the differences in DXA and HR-pQCT bone variables between the EARLIER and LATER groups, the microstructural components of the distal radius were also expressed in SD scores. These so designated "T" scores were calculated from an external cohort of healthy 34-yr-old French (25) women who were recently measured on the same HR-pQCT model as the one used in the present study. The statistical significance of the differences between relatively EARLIER and LATER MENA groups was evaluated by a two-tailed t test for unpaired values or by the Wilcoxon rank sum test whenever some degree of skewed distribution was present for either one compared bone variable. The significance level for two-sided P values was 0.05 for all tests. The data were analyzed using STATA software, version 7.0 (StataCorp LP, College Station, TX).


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Demographical characteristics

Both anthropometric and MENA variables were well within reference values previously recorded in similar ethnic and socioeconomic populations (26, 27, 28, 29) (Table 1Go). The calcium and protein intakes as assessed by a food frequency questionnaire corresponded to about 80–90% of the usual dietary allowance for young adult women as recommended in several countries (calcium intake: 1000 mg/d–1; protein intake 0.8 g/kg BW·d–1) (30, 31, 32, 33, 34).


View this table:
[in this window]
[in a new window]

 
TABLE 1. Characteristics of the 124 young adult women

 
DXA measurements

The mean aBMD T scores of the three DXA scanned regions of the radius were slightly positive as computed according to the reference range used in the clinical unit that is dedicated to the diagnosis of osteoporosis (Table 2Go).


View this table:
[in this window]
[in a new window]

 
TABLE 2. Absolute and T-score values of radial aBMD of the 124 young adult women

 
HR-pQCT measurements

The mean values (±SD) of the structural components of distal radius (Table 3Go) were very close to those reported for a group of healthy women with mean age 34 ± 7 yr (25). The CVs [CV = (SD/mean) x 100] ranged from 5.4% for Dcort to 22.7% for CTh (Table 3Go). They were also quite large for both CSA (CV = 17.2%) and Dtrab or BV/TV (CV = 20.4 or 20.0%). The CV for radial metaphysis aBMD was 11.3% (Table 2Go). For comparison it was only 3.6% for standing height (Table 1Go).


View this table:
[in this window]
[in a new window]

 
TABLE 3. Values of bone structural elements of distal radius as measured by HR-pQCT

 
The correlation coefficient with aBMD of the distal metaphysis as assessed by DXA was the highest with Dtrab (or BV/TV): R = 0.73, P < 0.001 (Table 3Go). The degree of correlation was also statistically significant between aBMD and Dcort or CTh but somewhat less than with Dtrab.

Among the microstructural components, CSA was inversely correlated with CTh (R = –0.46; P < 0.001) (Fig. 1Go), but not with Dtrab, or BV/TV (R = 0.03). Dcort was not correlated with Dtrab or BV/TV (R = 0.02).


Figure 1
View larger version (16K):
[in this window]
[in a new window]

 
FIG. 1. Relationship between CSA and CTh at the distal radius in healthy young adult women. The equation of the regression line is indicated above the scatterplot. The inverse relationship is compatible with the concept that thinner cortex is associated with greater periosteal apposition, thus compensating, at least partially, for the diminished mechanical resistance to bending and torsional loadings resulting from the reduced amount of bone material. Inverse correlations between CSA and CTh were also present in both EARLIER (R = –0.46; P < 0.001; n = 62) and LATER (R = –0.44; P < 0.001; n = 62) menarcheal groups.

 
Influence of MENA

After segregation of the cohort according to the median of MENA, only a 1.9-yr difference (12.1 vs. 14.0 yr) separated the two groups with similar variability around mean MENA (SD = 0.7 yr) (Table 4Go). At examination time, there was no difference in age, standing height, calcium and protein intakes, and physical activity. The only significant difference between the two groups was the BMI, which was lower by 5%, in the LATER compared with the EARLIER menarcheal group. This difference in BMI was essentially due to a lower BW in the LATER subjects (Table 4Go).


View this table:
[in this window]
[in a new window]

 
TABLE 4. Characteristics of healthy young adult women segregated by the median of MENA

 
The values of aBMD were inversely related to MENA in total radius (R = –0.21; P = 0.018), and at both diaphyseal (R = –0.18; P = 0.043) and metaphyseal (R = –0.19; P = 0.031) sites (Fig. 2AGo). As detailed in the legend to Fig. 2AGo, the statistical significance of these three relationships between DXA measured aBMD and MENA were greater than the 0.05 level after adjustment for calcium intervention, standing height, and BW. After segregation by the median of MENA, the aBMD T score was significantly lower in the LATER vs. EARLIER group for total radius (P = 0.026), radial diaphysis (P = 0.042), and metaphysis (P = 0.046) (Fig. 2BGo). The corresponding absolute aBMD and BMC values are given in Table 5Go.


Figure 2
View larger version (31K):
[in this window]
[in a new window]

 
FIG. 2. Influence of MENA on aBMD of the radius in healthy young adult women. A, MENA was inversely related to aBMD in total radius and at both diaphyseal and metaphyseal sites (n = 124). Linear equations with P values without adjustment are indicated above the three scatterplots. P values after adjustment for calcium intervention, standing height, and BW were 0.069, 0.110, and 0.117 for total radius, radial diaphysis, and radial metaphysis, respectively. B, The cohort of the 124 healthy women was segregated by the median of MENA. aBMD T score was significantly lower in the LATER (n = 62) vs. EARLIER (n = 62) group for total radius, radial diaphysis, and metaphysis. The corresponding absolute aBMD and BMC values are presented in Table 5Go. See Results section for further details.

 

View this table:
[in this window]
[in a new window]

 
TABLE 5. Radial BMC and aBMD values of healthy young adult women according to the median of MENA

 
The values of total density (R = –0.23; P = 0.011), cortical density (R = –0.27; P = 0.002), and CTh (R = –0.16; P = 0.085) of the distal radius were inversely related to MENA (Fig. 3AGo). As detailed in the legend to Fig. 3AGo, the statistical significance of the relationships between MENA and HR-pQCT measured total radius density and cortical density remained below the 0.05 level after adjustment for calcium intervention, standing height, and BW.


Figure 3
View larger version (32K):
[in this window]
[in a new window]

 
FIG. 3. Influence of MENA on bone microstructure of the radius in healthy young adult women. A, MENA was inversely related to total density, cortical density, and CTh of the distal radius (n = 124). Linear equations and P values are indicated above the scatterplots. P values after adjustment for calcium intervention, standing height, and BW were 0.018, 0.002, and 0.091 for total density, cortical density, and CTh, respectively. B, The cohort of the 124 healthy women was segregated by the median of MENA. The "T" score calculated from an external cohort of healthy French women with a mean age of 34 ± 7 yr (25 ) was significantly lower in the LATER (n = 62) vs. EARLIER (n = 62) group for total density, cortical density, and CTh of the distal radius. The corresponding absolute values are given in Table 6Go, which also includes other measured microstructural components. See Results section for further details.

 
After segregation by the median of MENA, the "T" score was significantly lower in the LATER vs. EARLIER group for total density (P = 0.010), cortical density (P = 0.003), and CTh (P = 0.023) (Fig. 3BGo). The corresponding absolute values of these three variables as well as other measured microstructural components are given in Table 6Go. The lower total density, cortical density, and CTh observed in the LATER group remained statistically significant after adjustment for calcium intervention, standing height, and BW. Of note, the 8.8% reduction of CTh in the LATER group was not associated with a decrease, but rather with a 5% increase in CSA. This difference became statistically significant after adjustment for calcium intervention, standing height, and BW (P = 0.026) (Table 6Go). In contrast to the significant relation between MENA and cortical variables as measured by HR-pQCT, no difference was found between the EARLIER and LATER groups for the trabecular microstructure components, Dtrab, or BV/TV, TbN, TbTh, and TbSp.


View this table:
[in this window]
[in a new window]

 
TABLE 6. Bone structure of distal radius in healthy young adult women according to the median of MENA

 

    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Influence of MENA on microstructure and bone mass distribution

In this cohort MENA was prospectively recorded since prepuberty. The inverse relationship between the occurrence of the first menstruation and peak aBMD was observed in the three DXA scanned regions of the radius (Fig. 2AGo). The analysis according to the median of MENA indicates that a 2-yr difference in this signal of the onset of reproductive life (12.1 vs. 14.0 yr), within the normal range, i.e. in the absence of abnormal precocious or delayed sexual maturation, showed a substantial difference in radial aBMD. When expressed in T score, the later menarche age group displayed a deficit by about 0.4 SD. Considering that a deficit of 1.0 SD would double the risk of fracture, the 2-yr difference in MENA observed in our cohort may increase the relative risk of fragility fracture by up to 40%.

At the microstructural level, the inverse relationship with MENA was particularly noticed at the level of the cortical density and thickness. There was also a trend for a larger CSA in the LATER menarcheal group. As expressed in "T" score, the deficit in the LATER group was still greater than that observed by DXA on aBMD. The deficit was particularly sustained in cortical density (–0.60 SD) and CTh (–0.45 SD). This would corroborate previous observations in postmenopausal women (35) suggesting that the sensitivity for detecting differences in bone fragility would be greater by using HR-pQCT than DXA, at least for measurements made at the level of the distal radius.

During pubertal maturation cross-sectional analysis of appendicular bone, at least in the upper limb, reveals a distinct gender dimorphism. In female subjects bone mineral mass increases more by endosteal than periosteal deposition (15). This endosteal deposition appears to be an estrogen-dependent phenomenon (16, 17, 36). The results of our study obtained in healthy women in their early 20s suggest that within the physiological range of pubertal maturation, a 2-yr delay in MENA (LATER: 6.4 yr; EARLIER: 8.3 yr) would tend to reduce CTh by shortening the exposure time to estrogen and thereby reducing endosteal deposition. As discussed previously, this negative impact on CTh would tend to be partially compensated in terms of mechanical resistance by more external distribution of the reduced bone mass. It remains that this compensation may well be insufficient with the additional postmenopausal bone loss for negating the risk of fracture. Indeed, it has been well documented that in postmenopausal women, late menarche is associated with low aBMD (1, 2, 3, 4) and a higher risk of fragility fractures at several skeletal sites, including at the forearm level (5, 6, 7, 8).

Our data suggest that apparent shorter exposure to estrogen during bone acquisition would affect cortical but not trabecular constituents of the distal radius. This contrasts with the marked detrimental effect of estrogen deficiency on trabecular structure observed in adulthood by comparing HR-pQCT values of the distal radius in premenopausal and postmenopausal women (25). As suggested in a recent review (37), it is possible that the association of MENA with bone acquired in early adulthood is not the mere result of variation in the duration of estrogen exposure. Pubertal timing and bone mass acquisition may be part of a common programming in which both genetic and in utero influences are important determinants (37).

BMI is a well-documented risk factor for osteoporosis (38, 39). The 5% BW deficit in the LATER compared with the EARLIER menarche group may have contributed by some still nonidentified mechanism(s) to the onset of pubertal timing and the relatively low bone variables as recently reviewed (37). In our study the fact that the statistical significance of the differences between LATER and EARLIER subjects for Dtot, Dcort, and CTh was maintained after adjustment for BW suggests that the influence of MENA is not entirely dependent upon some pathophysiological pathway involving variations in body mass (40).

As a limitation to the interpretation of the presented data, it may be argued that the MENA-related differences in aBMD, and cortical density and thickness as determined at the distal radius by DXA and HR-pQCT might only be a transient phenomenon. Indeed, no absolute proof can be provided that PBM of distal radius was actually attained at examination in this cohort of healthy women in their very early 20s. It can be inferred that the inverse relationship between MENA and aBMD, and cortical density and thickness might no longer be present a few years later when the percent difference in the duration of estrogen exposure would be attenuated. In other words, we cannot exclude that radial PBM would be attained at a more advanced age in women whose pubertal maturation was relatively delayed. Nevertheless, there is indirect support in our interpretation suggesting that late pubertal timing is associated with low PBM. Indeed, numerous studies have documented that late MENA is associated with low bone mineral density (BMD) in both premenopausal and postmenopausal women and increased risk of fragility fractures in late adulthood (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14).

CTh and CSA

The CSA was inversely correlated to the CTh. This suggests some adaptation because a more outward distribution of the bone mineral mass would tend to compensate for cortical thinning according to an important concept of biomechanical resistance (41). A small increase in the external diameter of appendicular bones can markedly improve the resistance to bending and torsional loadings (41, 42, 43). The moment of inertia or the resistance to bending and torsional loads, the highest mode of stresses in the appendicular skeleton, is markedly influenced by the distribution of the bone mineral mass away from the neutral axis, i.e. from the center of the bone. Such an apparently adaptive redistribution of bone mass was described in relation with aging several decades ago (44, 45). The age-related decrease in CTh probably results from increased endosteal resorption, which is accompanied by an increase in periosteal apposition, leading to an increase in the outer diameter of appendicular bones, and thereby attenuating the loss in resistance to bending and torsional loadings (41).

In the present work in young healthy adult women, the observed inverse relationship between CTh and CSA at the level of the radial metaphysis might be due to an adaptation to mechanical stress during growth. Alternatively, it may be the expression of an evolutionary phenomenon that would be genetically determined. The presence in very early infancy of such an inverse relationship between CTh and CSA would favor a genetically determined trait that would compensate by shifting a relatively low bone mass away from the neutral axis. This concept has been recently presented for the construction of the femoral neck during growth in relation with its strength in old age (46). It was proposed that greater periosteal apposition constructing a wider femoral neck was offset by even greater endocortical resorption so that the same net amount of bone would be distributed as a thinner cortex further from the neutral axis, increasing the resistance to bending and lowering volumetric BMD. The redistribution of bone mass according to the amount of available material appears to be observed not only in classically weight-bearing bone such as femoral neck and diaphysis (41, 44, 45, 46), but also, as shown in the current study, in the distal forearm. Our observation would suggest that this phenomenon is not essentially dependent upon mechanical forces undergone during growth.

Physiological variability of microstructural components in healthy young adults

The use of HR-pQCT allows one to get insight into the microstructural components of appendicular bones. In the present study performed in healthy young adult females having attained PBM, the CVs differed markedly from one component to the other. Thus, in the cortical compartment of the distal metaphysis of the radius, the variability of the thickness was about 4.2 times larger than that of the volumic mineral density (22.8 vs. 5.4%). This strongly suggests that the biological variability of the cortical structure is much more due to a difference in size than in the amount of mineral per volume unit of cortical bony tissue. In agreement with the importance of bone size, the interindividual variability of the CSA of the distal radius was also quite large, with a CV amounting to 17.2%. In the trabecular compartment, the interindividual variability of the BV/TV was also quite large, suggesting that the amount of bony tissue within the bone was also an important component of the overall variance of PBM at this skeletal site because it can be assessed by DXA in measuring aBMD (CV = 11.3%) or BMC (CV = 16.4%). As previously observed in the lumbar spine of healthy young adults (47), the CV for aBMD or BMC was much larger than that of standing height, which in the present cohort, was only 3.6%. This emphasizes again the importance of PBM in the individual risk of fragility fractures that can occur during the second half of adult life. It also underscores the notion that PBM is largely independent of standing height (47).

The quantitative analysis of the relationships between microstructural variables indicates that the estimates of volumetric density of the trabecular compartment were not at all correlated with that of the cortical compartment. This absence of association suggests for these two components of PBM and strength the influential role of distinct determinants, whether of genetic and/or environmental nature.

In conclusion, in healthy young adult women, a 2-yr later occurrence in the mean age of menarche within the normal range was associated with lower radial aBMD. Furthermore, in the LATER menarcheal group, CTh of the distal radius was decreased and was associated with a small increase in the external perimeter of the metaphysis. This finding would be compatible with less endocortical bone accrual. Our study suggests that estrogen exposure from the onset of sexual maturation to the end of growth influences PBM with modifications of several microstructural components. A deficit in cortical density and thickness in the distal radius may explain how late menarche is a risk factor for osteoporotic fracture at the level of the forearm.


    Acknowledgments
 
We thank Giulio Conicella and the team of the Service of Nuclear Medicine for dual-energy x-ray absorptiometry and high-resolution peripheral computerized tomography measurements, Fanny Merminod, certified dietician, for the assessment of food intake and having performed this study, Pierre Casez, M.D., for the elaboration of the database, François Herrmann, M.D., M.P.H., for help with statistical analysis, and Marianne Perez for secretarial assistance. We also thank Professor D. Belli, M.D., and Professor S. Suter, M.D., chairpersons of the Department of Pediatrics, for their constant and invaluable support in this research project.


    Footnotes
 
This study was supported by the Swiss National Science Foundation (Grant 3247BO-109799).

Disclosure Information: The authors have nothing to declare.

First Published Online April 22, 2008

Abbreviations: aBMD, Areal bone mineral density; BMC, bone mineral content; BMD, bone mineral density; BMI, body mass index; BV/TV, trabecular bone volume fraction; BW, body weight; CSA, cross-sectional area; CTh, cortical thickness; CV, coefficient of variation; Dcort, cortical volumetric bone density; Dtot, total volumetric bone density; Dtrab, trabecular volumetric bone density; DXA, dual-energy x-ray absorptiometry; HR-pQCT, high-resolution peripheral computerized tomography; MENA, menarcheal age; PBM, peak bone mass; TbN, trabecular number; TbSp, trabecular spacing; TbTh, trabecular thickness.

Received November 29, 2007.

Accepted April 10, 2008.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Ribot C, Pouilles JM, Bonneu M, Tremollieres F 1992 Assessment of the risk of post-menopausal osteoporosis using clinical factors. Clin Endocrinol (Oxf) 36:225–228[Medline]
  2. Fox KM, Magaziner J, Sherwin R, Scott JC, Plato CC, Nevitt M, Cummings S 1993 Reproductive correlates of bone mass in elderly women. Study of Osteoporotic Fractures Research Group. J Bone Miner Res 8:901–908[Medline]
  3. Tuppurainen M, Kroger H, Saarikoski S, Honkanen R, Alhava E 1995 The effect of gynecological risk factors on lumbar and femoral bone mineral density in peri- and postmenopausal women. Maturitas 21:137–145[CrossRef][Medline]
  4. Varenna M, Binelli L, Zucchi F, Ghiringhelli D, Gallazzi M, Sinigaglia L 1999 Prevalence of osteoporosis by educational level in a cohort of postmenopausal women. Osteoporos Int 9:236–241[Medline]
  5. Johnell O, Gullberg B, Kanis JA, Allander E, Elffors L, Dequeker J, Dilsen G, Gennari C, Lopes Vaz A, Lyritis G, Mazzuoli G, Miravet L, Passeri M, Perez Cano R, Rapado A, Ribot C 1995 Risk factors for hip fracture in European women: the MEDOS Study. Mediterranean Osteoporosis Study. J Bone Miner Res 10:1802–1815[Medline]
  6. Paganini-Hill A, Atchison KA, Gornbein JA, Nattiv A, Service SK, White SC 2005 Menstrual and reproductive factors and fracture risk: the Leisure World Cohort Study. J Womens Health (Larchmt) 14:808–819[CrossRef][Medline]
  7. Melton 3rd LJ 1997 Epidemiology of spinal osteoporosis. Spine 22(Suppl):2S–11S
  8. Silman AJ 2003 Risk factors for Colles’ fracture in men and women: results from the European Prospective Osteoporosis Study. Osteoporos Int 14:213–218[Medline]
  9. Rosenthal DI, Mayo-Smith W, Hayes CW, Khurana JS, Biller BM, Neer RM, Klibanski A 1989 Age and bone mass in premenopausal women. J Bone Miner Res 4:533–538[Medline]
  10. Ito M, Yamada M, Hayashi K, Ohki M, Uetani M, Nakamura T 1995 Relation of early menarche to high bone mineral density. Calcif Tissue Int 57:11–14[CrossRef][Medline]
  11. Fujita Y, Katsumata K, Unno A, Tawa T, Tokita A 1999 Factors affecting peak bone density in Japanese women. Calcif Tissue Int 64:107–111[CrossRef][Medline]
  12. Armamento-Villareal R, Villareal DT, Avioli LV, Civitelli R 1992 Estrogen status and heredity are major determinants of premenopausal bone mass. J Clin Invest 90:2464–2471[Medline]
  13. Nguyen TV, Jones G, Sambrook PN, White CP, Kelly PJ, Eisman JA 1995 Effects of estrogen exposure and reproductive factors on bone mineral density and osteoporotic fractures. J Clin Endocrinol Metab 80:2709–2714[Abstract]
  14. Galuska DA, Sowers MR 1999 Menstrual history and bone density in young women. J Womens Health Gend Based Med 8:647–656[Medline]
  15. Garn SM, Rohmann CG, Wagner B, Ascoli W 1967 Continuing bone growth throughout life: A general phenomenon. Am J Phys Anthropol 26:313–317[CrossRef][Medline]
  16. Seeman E 2002 Pathogenesis of bone fragility in women and men. Lancet 359:1841–1850[CrossRef][Medline]
  17. Vanderschueren D, Vandenput L, Boonen S 2005 Reversing sex steroid deficiency and optimizing skeletal development in the adolescent with gonadal failure. Endocr Dev 8:150–165[Medline]
  18. Bonjour JP, Carrie AL, Ferrari S, Clavien H, Slosman D, Theintz G, Rizzoli R 1997 Calcium-enriched foods and bone mass growth in prepubertal girls: a randomized, double-blind, placebo-controlled trial. J Clin Invest 99:1287–1294[Medline]
  19. Bonjour JP, Chevalley T, Ammann P, Slosman D, Rizzoli R 2001 Gain in bone mineral mass in prepubertal girls 3.5 years after discontinuation of calcium supplementation: a follow-up study. Lancet 358:1208–1212[CrossRef][Medline]
  20. Chevalley T, Rizzoli R, Hans D, Ferrari S, Bonjour JP 2005 Interaction between calcium intake and menarcheal age on bone mass gain: an eight-year follow-up study from prepuberty to postmenarche. J Clin Endocrinol Metab 90:44–51[Abstract/Free Full Text]
  21. Fardellone P, Sebert JL, Bouraya M, Bonidan O, Leclercq G, Doutrellot C, Bellony R, Dubreuil A 1991 [Evaluation of the calcium content of diet by frequential self-questionnaire]. Rev Rhum Mal Osteoartic 58:99–103 (French)
  22. Morin P, Herrmann F, Ammann P, Uebelhart B, Rizzoli R 2005 A rapid self-administered food frequency questionnaire for the evaluation of dietary protein intake. Clin Nutr 24:768–774[CrossRef][Medline]
  23. Boot AM, de Ridder MA, Pols HA, Krenning EP, de Muinck Keizer-Schrama SM 1997 Bone mineral density in children and adolescents: relation to puberty, calcium intake, and physical activity. J Clin Endocrinol Metab 82:57–62[Abstract/Free Full Text]
  24. Ainsworth BE, Haskell WL, Leon AS, Jacobs Jr DR, Montoye HJ, Sallis JF, Paffenbarger Jr RS 1993 Compendium of physical activities: classification of energy costs of human physical activities. Med Sci Sports Exerc 25:71–80[Medline]
  25. Boutroy S, Bouxsein ML, Munoz F, Delmas PD 2005 In vivo assessment of trabecular bone microarchitecture by high-resolution peripheral quantitative computed tomography. J Clin Endocrinol Metab 90:6508–6515[Abstract/Free Full Text]
  26. Diem K, Lentner C 1972 Les mensurations normales de la période de croissance. In: Tables scientifiques. 7ème ed. Bâle, Suisse: Ciba-Geigy SA; 703–711
  27. Ducharme JR, Forest MG 1993 Normal pubertal development. In: Betrand J, Rappaport R, Sizonenko PC, eds. Pediatric endocrinology physiology, pathophysiology, and clinical aspects. Baltimore: Williams, Wilkins; 372–386
  28. Morabia A, Khatchatrian N, Bernstein M, Walker DM, Campana A 1996 Reproductive characteristics of a population of urban Swiss women. Acta Obstet Gynecol Scand 75:838–842[Medline]
  29. Parent AS, Teilmann G, Juul A, Skakkebaek NE, Toppari J, Bourguignon JP 2003 The timing of normal puberty and the age limits of sexual precocity: variations around the world, secular trends, and changes after migration. Endocr Rev 24:668–693[Abstract/Free Full Text]
  30. National Research Council (U.S.), Subcommittee on the Tenth Edition of the RDAs, National Institutes of Health (U.S.), National Research Council (U.S.), Committee on Dietary Allowances 1989 Recommended dietary allowances. 10th ed. Washington, DC: National Academy Press
  31. Anonymous 1997 Dietary reference intakes. Food and Nutrition Board, Institut of Medicine. Washington DC: National Academy Press
  32. Anonymous 2002 Dietary reference intakes for energy, carbohydrates, fiber, fat, fatty acids, cholesterol, protein and amino acids (macronutriments). Washington, DC: National Academy Press
  33. Martin AD 2001 Apports nutritonnels conseillés pour la population française. 3e éd. Paris: Editions Tec & Doc
  34. Young VR, Borgonha S 2000 Nitrogen and amino acid requirements: the Massachusetts Institute of Technology amino acid requirement pattern. J Nutr 130:1841S–1849S
  35. Sornay-Rendu E, Boutroy S, Munoz F, Delmas PD 2007 Alterations of cortical and trabecular architecture are associated with fractures in postmenopausal women, partially independent of decreased BMD measured by DXA: the OFELY study. J Bone Miner Res 22:425–433[CrossRef][Medline]
  36. Riggs BL, Khosla S, Melton 3rd LJ 2002 Sex steroids and the construction and conservation of the adult skeleton. Endocr Rev 23:279–302[Abstract/Free Full Text]
  37. Bonjour JP, Chevalley T 2007 Pubertal timing, peak bone mass and fragility fracture risk. BoneKey-Osteovision 4:30–48: http://www.bonekey-ibms.org/cgi/content/full/ibmske; 34/32/30
  38. Johnell O, Kanis JA, Oden A, Johansson H, De Laet C, Delmas P, Eisman JA, Fujiwara S, Kroger H, Mellstrom D, Meunier PJ, Melton 3rd LJ, O’Neill T, Pols H, Reeve J, Silman A, Tenenhouse A 2005 Predictive value of BMD for hip and other fractures. J Bone Miner Res 20:1185–1194[CrossRef][Medline]
  39. De Laet C, Kanis JA, Oden A, Johanson H, Johnell O, Delmas P, Eisman JA, Kroger H, Fujiwara S, Garnero P, McCloskey EV, Mellstrom D, Melton 3rd LJ, Meunier PJ, Pols HA, Reeve J, Silman A, Tenenhouse A 2005 Body mass index as a predictor of fracture risk: a meta-analysis. Osteoporos Int 16:1330–1338[CrossRef][Medline]
  40. Wattigney WA, Srinivasan SR, Chen W, Greenlund KJ, Berenson GS 1999 Secular trend of earlier onset of menarche with increasing obesity in black and white girls: the Bogalusa Heart Study. Ethn Dis 9:181–189[Medline]
  41. Bouxsein ML 2005 Determinants of skeletal fragility. Best Pract Res Clin Rheumatol 19:897–911[CrossRef][Medline]
  42. Turner CH 2002 Biomechanics of bone: determinants of skeletal fragility and bone quality. Osteoporos Int 13:97–104[CrossRef][Medline]
  43. Turner CH 2006 Bone strength: current concepts. Ann NY Acad Sci 1068:429–446[CrossRef][Medline]
  44. Smith Jr RW, Walker RR 1964 Femoral expansion in aging women: implications for osteoporosis and fractures. Science 145:156–157[Abstract/Free Full Text]
  45. Ruff CB, Hayes WC 1982 Subperiosteal expansion and cortical remodeling of the human femur and tibia with aging. Science 217:945–948[Abstract/Free Full Text]
  46. Zebaze RM, Jones A, Knackstedt M, Maalouf G, Seeman E 2007 Construction of the femoral neck during growth determines its strength in old age. J Bone Miner Res 22:1055–1061[CrossRef][Medline]
  47. Fournier PE, Rizzoli R, Slosman DO, Buchs B, Bonjour JP 1994 Relative contribution of vertebral body and posterior arch in female and male lumbar spine peak bone mass. Osteoporos Int 4:264–272[CrossRef][Medline]



This article has been cited by other articles:


Home page
J. Clin. Endocrinol. Metab.Home page
T. Chevalley, J. P. Bonjour, S. Ferrari, and R. Rizzoli
The Influence of Pubertal Timing on Bone Mass Acquisition: A Predetermined Trajectory Detectable Five Years before Menarche
J. Clin. Endocrinol. Metab., September 1, 2009; 94(9): 3424 - 3431.
[Abstract] [Full Text] [PDF]


Home page
Sports Health: A Multidisciplinary ApproachHome page
S. L. Manske, C. R. Lorincz, and R. F. Zernicke
Bone Health: Part 2, Physical Activity
Sports Health: A Multidisciplinary Approach, July 1, 2009; 1(4): 341 - 346.
[Abstract] [Full Text] [PDF]


Home page
Hum Mol GenetHome page
N. J. Timpson, J. H. Tobias, J. B. Richards, N. Soranzo, E. L. Duncan, A.-M. Sims, P. Whittaker, V. Kumanduri, G. Zhai, B. Glaser, et al.
Common variants in the region around Osterix are associated with bone mineral density and growth in childhood
Hum. Mol. Genet., April 15, 2009; 18(8): 1510 - 1517.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Chevalley, T.
Right arrow Articles by Rizzoli, R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Chevalley, T.
Right arrow Articles by Rizzoli, R.
Related Collections
Right arrow Pediatric Endocrinology
Right arrow Calcium and Bone Metabolism
Right arrow Female Endocrinology


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Endocrinology Endocrine Reviews J. Clin. End. & Metab.
Molecular Endocrinology Recent Prog. Horm. Res. All Endocrine Journals