PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Psychosom Med. Author manuscript; available in PMC 2014 February 1.
Published in final edited form as:
PMCID: PMC3570708
NIHMSID: NIHMS434092

Bone Density Characteristics and Major Depressive Disorder in Adolescents

Abstract

Objective

Major depressive disorder (MDD) is common during adolescence, a time period characterized by rapid bone mineral accrual. MDD has recently been associated with lower bone mineral density in adults. Our objective was to determine whether MDD is associated with bone mineral density (BMD), bone turnover markers, vitamin D and gonadal steroids in adolescents.

Methods

Sixty five adolescents 12 to 18 years of age (32 boys: 16 with MDD and 16 controls, and 33 girls: 17 with MDD and 16 controls) were included in a cross-sectional study. BMD and body composition were obtained by dual energy x-ray absorptiometry. Estradiol, testosterone, 25-OH vitamin D levels and P1NP, a marker of bone formation, and CTX, a marker of bone resorption, were measured.

Results

Boys with MDD had significantly lower BMD at the hip (Mean [SD] of 0.99 [0.17] vs. 1.04 [0.18] g/cm2; BMI-adjusted p=0.005) and femoral neck (0.92 [0.17] vs. 0.94 [0.17] g/cm2; adjusted; BMI-adjusted p=0.024) compared to healthy controls after adjusting for BMI. This significant finding was maintained after also adjusting for lean mass and bone age (hip: p=0.007; femoral neck: p=0.020). In girls, there were no significant differences in BMD between the girls with MDD and the controls after adjusting for BMI (p-values>.17).

Conclusions

Male adolescents with MDD have significantly lower BMD as compared to healthy controls after adjusting for body mass and maturity. This association is not observed in girls.

Keywords: Bone mineral density, adolescents, depression

INTRODUCTION

Major depressive disorder (MDD) is a common disorder among adolescents (1). The prevalence is approximately two to three percent among school age, pre-teen children and increases to four to eight percent in teenagers (2, 3). Adolescence is also a critical time for the accrual of bone mass, and more than 90% of peak bone mass is acquired by 18 years. Whereas recent studies have demonstrated a relationship between MDD and lower BMD in adults, this relationship has not yet been fully defined in adolescents. Although a number of studies examining the relationship between BMD and depression have been inconsistent, three recent meta-analyses report that the weight of the evidence supports the statement that patients with MDD have lower BMD compared with controls (46). The etiology of this decreased BMD in individuals with MDD is likely multifactorial and includes decreased physical activity and have poor dietary habits as compared to those without MDD (7, 8). Importantly, medications used to treat MDD, especially serotonin reuptake inhibitors (SSRIs), have also been associated with bone loss (9, 10) and increased fracture risk (11).

MDD is associated with an increased risk of obesity (1214). A prospective study of 9375 seventh through twelfth graders found that non-obese participants with baseline depression (n~753) had an increased risk of obesity after 12 months of follow-up (15). A history of childhood depression has also been shown to be positively associated with adult BMI (16). Whereas obesity was once thought to confer a protective effect on bone because obese individuals have higher BMD than controls, this higher BMD does not persist after adjusting for lean body mass or total body mass. In pre-pubertal children, fat mass has been shown to be inversely associated with both cortical and trabecular density (17). Additionally, visceral adiposity has been shown to be inversely associated with BMD and therefore may be a risk factor for decreased BMD (18). Therefore there are many potential etiologies for the negative association between BMD and MDD.

Given the inverse association between MDD and BMD in adults, we investigated this relationship in male and female adolescents with MDD. We hypothesized that adolescents with MDD would have lower bone mineral density as compared to healthy controls and that bone density parameters would be inversely associated with the severity of the depression.

METHODS

Participants

We recruited 65 participants (32 boys and 33 girls) between September 2007 and December 2009. The participants were between the ages of 12–18 years and had a body mass index (BMI) between the 5th and 95th percentiles for age. Participants with MDD (16 boys and 17 girls) were referred by local psychiatrists. Healthy control participants (16 boys and 16 girls) were recruited from outpatient pediatric practices and outpatient health care centers affiliated with the Massachusetts General Hospital for Children (from which these adolescents received their routine health evaluations) by using mass mailings and fliers. Adolescents with a medical condition or who were taking medications that could affect bone metabolism (including estrogen/progesterone or glucocorticoids) within the preceding 3 months were excluded. Adolescents with any other axis I disorder except for co-morbid anxiety were also excluded, as were those with suicidal ideation. The Partners HealthCare institutional review board approved this study and informed written consent and assent were obtained from all parents and participants.

Experimental Protocol

All participants had a history and physical exam performed and blood was drawn for laboratory studies at our Clinical Translational Science Center. Menstruating girls were evaluated during the first ten days of the follicular phase of the menstrual cycle. Physical activity scores were assessed using the Modifiable Activity Questionnaire (19). Participants were also evaluated by a study psychiatrist to verify the diagnosis of MDD and to assess their safety for study participation. Participants completed the Children’s Depression Inventory (CDI) questionnaire (20) and Children’s Depression Rating Scale – Revised (CDRS-R) questionnaire (21) as a self-report of depressive symptoms. A bone age x-ray of the left hand and wrist was obtained and assessed using the standards of Greulich and Pyle (22). All participants underwent dual energy x-ray absorptiometry (DXA) to measure BMD of the lumbar spine (L1–L4), hip and body composition including fat mass (kg), lean mass (kg), and percent body fat using a Hologic Discovery A densitometer (Hologic Inc., Waltham, MA). Lumbar spine bone mineral apparent density (BMAD) was calculated using published methods (23). Coefficients of variation of DXA have been reported as <1% for bone (24), 1.1% for lean body mass and 2.7% for fat mass (25).

Biochemical Assays

CTX-1, P1NP, 25-OH vitamin D and IGF-1 were all measured using a chemiluminescence analyzer (IDS-iSYS Immunodiagnostic Systems Inc, Fountain Hills, AZ). CTX-1 had a detection limit of 0.023 ng/mL, an interassay coefficient of variation (CV) of 6.2% and an intra-assay CV of 3.2%. P1NP had a detection limit of 2 ng/mL, an inter-assay CV of 4.6% and an intra-assay CV of 2.9%. 25-OH vitamin D had a detection limit of 5 ng/mL, an inter-assay CV of 12.1% and an intra-assay CV of 8.3%. IGF-1 had a detection limit 10 ng/mL, an inter-assay CV of 5.1% and an intra-assay CV of 2.2%.

Estradiol, testosterone and sex hormone binding globulin (SHBG) were measured using a chemiluminescent immunoassay (Access Immunoassay Systems, Beckman Coulter, Inc, Fullerton, CA). The detection limit for estradiol was 20 pg/mL with a precision of 12–21%. The detection limit for testosterone was 10 ng/mL with an inter-assay CV of 4.2–7.1% and an intra-assay CV of 1.7–3.9%. The detection limit for SHBG was 0.33 nmol/L with an inter-assay CV of 5.2–5.5% and an intra-assay CV of 4.5–4.8%. Salivary cortisol was assessed using liquid chromatography-tandem mass spectrometry (Mayo Medical Laboratories) (detection limit 50 ng/dl).

Statistical Analysis

Statistical analysis was performed using JMP 9 (SAS Institute, Inc., Cary, NC) software. Means and standard deviations are reported. The means were compared using the Student’s t-test, or the Wilcoxon test if the data were not normally distributed. A p-value of < 0.05 on a two-tailed test was used to indicate significance. Pearson correlation coefficients, or if the data were non-normal, Spearman’s coefficients, were calculated to assess univariate relationships. Interaction terms were also examined to explore sex differences in the association of MDD and BMD. Multivariable analyses were performed using least-squares linear regression to adjust for confounders. In order to control for the possibility of type 1 error, MANOVA was performed with all of the dependent variables considered simultaneously.

RESULTS

Clinical characteristics

The clinical characteristics of the MDD and control participants are summarized in Table 1. Participants with MDD did not differ from healthy controls in age, bone age, or height. Weight and BMI did not differ in boys with MDD compared to controls, whereas girls with MDD had a significantly higher weight and BMI compared to controls. Both boys and girls with MDD had significantly higher fat mass and percent body fat compared to controls (boys: MDD: 21.8 ± 6.3% versus healthy controls: 17.0 ± 6.2%; p = 0.029 and girls: MDD: 31.8 ± 5.7%versus healthy controls: 25.9 ± 4.6%; p = 0.003). None of the boys with MDD were hypogonadal and none of the girls with MDD were premenarchal. All girls with MDD except one reported regular menses. There were no differences in the boys (p=0.75) or girls (p=0.63) with respect to salivary cortisol levels between participants with MDD and the controls. Reported activity levels, and history of smoking and substance abuse did not differ between MDD and controls in either gender. Alcohol use was more common in girls with MDD than controls. Nine boys and 12 girls were using SSRIs and four boys and six girls were using atypical antipsychotic medications.

Table 1
Clinical characteristics and hormone levels of boys (left) and girls (right) with major depressive disorders (MDD) and healthy controls

Bone mineral density

In the group as a whole, there were no significant differences in BMD parameters in those with MDD as compared to healthy controls, in an unadjusted analysis (p = 0.49 – 0.89). Z-scores for BMD at the lumbar spine, hip and femoral neck were lower in boys with MDD compared to controls and these differences were statistically significant after adjusting for possible confounders including BMI, lean mass and bone age (Table 2) and when controlling for type 1 error by performing a MANOVA and considering all dependent variables simultaneously (p<0.001). The differences remained statistically significant after also adjusting for history of SSRI use or use of an atypical antipsychotic, or for 25-OH vitamin D levels (data not shown). In contrast, bone mineral density did not differ in girls with MDD compared to controls, even after adjusting for BMI, lean mass and bone age (Table 2), and also SSRI or atypical antipsychotic use, or 25-OH vitamin D. We also compared bone density in girls with MDD from this study with bone density in obese girls without MDD from a different study (18), and found no difference between the groups (data not shown). There were no significant differences in the number of boys with MDD who had Z-scores at any site that were < −1 (p=1.00) or < −2 (p=0.48) as compared to controls. There were also no significant differences in the number of girls with MDD who had Z-scores at any site that were < −1 (p=0.17) or < −2 (p=0.34) as compared to controls.

Table 2
Bone mineral density measures in boys (left) and girls (right) with major depressive disorders (MDD) and healthy controls

Unadjusted correlation coefficients between bone mineral density measurements and BMI, lean mass, bone age, estradiol, free androgen index and fat mass for boys are shown in Table 3. As expected, BMI, lean mass, bone age and estradiol levels were positive determinants of BMD.

Table 3
Univariate analyses in boys of bone density measures with body composition parameters, bone age, hormone levels and depression severity scores (using the CDI and CDRS-R T-scores)

When controlling for type 1 error by performing MANOVA and considering all dependent variables simultaneously, BMI, lean mass and bone age remained positive determinants of BMD.

There were no significant correlations between bone density parameters and duration since diagnosis of MDD. There were also no significant correlations between severity of depression, as measured by CDI and CDRS-R, and BMD parameters in the groups as a whole (p = 0.17 – 1.00). In boys, after adjusting for BMI, bone density measurements were inversely associated with both the CDI (lumbar spine BMD Z-score: p=0.034; hip Z-score: p=0.022; femoral neck Z-score: p=0.026) and CDRS-R T-scores (hip Z-score: p=0.034 and femoral neck Z-score: p=0.044).

Markers of bone turnover

P1NP, a marker of bone formation, was lower in MDD as compared to controls in both boys and girls, but this difference was only significant in girls (MDD: 86.7 ± 32.3 ng/mL versus healthy controls: 244.5 ± 270.9 ng/mL; p = 0.031). CTX, a marker of bone resorption, trended lower in girls with MDD as compared to controls (MDD: 0.8 ± 0.3 ng/ml versus healthy controls: 1.5 ± 1.1 ng/ml; p = 0.092). After adjusting for BMI, there were no significant differences in P1NP or CTX between MDD and healthy controls in either gender.

In boys, there were no correlations between age of onset of depression, duration of depression, depression questionnaire scores and markers of bone turnover. In girls, there were no significant associations between markers of bone turnover and duration of depression or age of onset of depression, but there were negative correlations between markers of bone turnover and depression questionnaire scores (CDI and P1NP: r= −0.41; p=0.026; CDRS-R and P1NP: r = −0.59; p = <0.001; CDRS-R and CTX: r = −0.42; p = 0.027).

Hormone Levels

IGF-1, testosterone and estradiol levels did not differ between the groups in either gender (Table 1). Girls with MDD had a significantly higher free androgen index than controls (4.8 ± 3.8 vs 2.2 ± 1.1; p= 0.024), but this difference was not statistically significant after adjusting for BMI (Table 1). In boys, vitamin D levels were not significantly different in MDD compared to controls even after adjusting for BMI. In contrast, vitamin D was significantly higher in girls with MDD as compared to controls (MDD: 33.5 ± 8.1 versus healthy controls: 22.5 ± 8.0 ng/ml; p < 0.001), and this difference remained statistically significant after adjusting for BMI (p = 0.001).

In boys with MDD, both free androgen index and estradiol correlated positively with bone density measures (Table 3). However, we found no associations of IGF-1 or 25-OH vitamin D levels with bone density (data not shown). Even after adding free androgen index or estradiol to a multivariate model that included the diagnostic group, BMI, lean mass and bone age, boys with depression had lower bone density Z-scores at all sites compared with controls. Similarly even after addition of 25-OH vitamin D or IGF-1 to the multivariate model, differences between the groups remained significant for bone density Z-scores at the spine, hip and femoral neck.

In contrast, we found no significant associations between hormones and bone density measures in girls with MDD and controls (data not shown). Differences in BMD Z-scores in girls with MDD versus controls remained not significant even after adjusting for free androgen index, estradiol, IGF-1 or 25-OH vitamin D levels in the multivariate model.

DISCUSSION

We have shown that boys with MDD have significantly lower BMD compared to healthy boys after adjusting for known determinants of BMD, including lean body mass, BMI and bone age. In contrast, BMD in girls with MDD does not differ from controls despite lower levels of bone turnover markers in MDD and inverse associations with the severity of depression, as assessed by the CDI and CDRS-R questionnaires. These findings illustrate the broad effects of MDD on the overall bone health of adolescents.

In adults, the relationship between BMD and depression has been demonstrated in premenopausal women (26, 27), postmenopausal women (28, 29) and men (30, 31), and three recent meta-analyses demonstrate that the weight of the evidence supports this inverse association between BMD and depression (46). Importantly, an increased risk of fracture has also been demonstrated in adults with depression, suggesting that the lower BMD may in fact have significant negative consequences (32).

In adolescents, the relationship between bone mineral density and depression has not yet been well defined. Prior studies in adolescent girls have demonstrated an inverse relationship between self-reported depressive symptoms and total body BMD and hip BMD (33, 34). To our knowledge, the association between BMD and depression in adolescent boys has not been previously studied.

Our results are consistent with gender specific effects of depression on BMD. In adults, evidence also exists to suggest such an effect. Mussolino et al studied the relationship between depression and BMD in young adults (ages 20–39 years) from the Third National Health and Nutrition Examination Survey (NHANES III) and found that both major depression and dysthymia were associated with lower BMD in males but not in females (31). Gonadal status of the participants was not reported in this study. Similarly, Halbreich et al studied medicated individuals with MDD, schizophrenia or affective disorder and found that while both males and females had BMD values significantly lower as compared to age and sex-matched normative data, males were more significantly affected as compared to female patients (35). In contrast, Robbins et al studied males and females ≥ 65 years of age and found that depressive symptoms were inversely associated with total hip BMD in Caucasian females but not males (29). Therefore, while in younger age groups depressive symptoms appear to affect males more significantly than females, in older aged groups, females appear to be more significantly affected as compared to males.

The cause of lower BMD in adults and adolescents with depressive symptoms is likely multifactorial. Individuals with depressive symptoms have higher cortisol levels as compared to those without depressive symptoms and cortisol has been shown to be a potential mediator of decreased BMD in adult women with depression (36). Borderline personality disorder, which has also been associated with hypercortisolemia (37), has been shown to be associated with even lower bone mineral density in premenopausal women with comorbid depression as compared to patients with depression alone (38). Poor eating habits (7) and less active lifestyles (8) are also common in individuals with depression, and diet and exercise are critical factors in maintaining bone mass. Importantly, obesity has known negative effects on bone and has been shown to be associated with depression in adolescents and adults (1214). In particular, visceral fat is inversely associated with BMD in obese adolescents (18). Fintini et al have also shown that obesity has a more negative effect on BMD in obese pubertal boys as compared to girls (39).

Lastly, medications used to treat depression have recently been shown to have detrimental effects on bone. SSRIs have been associated with both bone loss (9, 10) and an increased fracture risk (11, 40). A known side effect of atypical antipsychotics, which are also often used to treat depression, is hyperprolactinemia, which leads to suppression of the hypothalamic-pituitary-gonadal axis and resultant hypogonadism in both males and females. Atypical antipsychotics have been associated with decreased BMD in premenopausal and postmenopausal women (41, 42). However, none of the participants with MDD in this study were hypogonadal and adjusting for a history of SSRI and/or atypical antipsychotic use did not change the significant differences in BMD between boys with MDD and healthy controls. Anti-convulsants such as phenytoin and carbamezapine, also occasionally used to treat depression, have negative effects on vitamin D metabolism. These drugs increase metabolism of calcidiol into inactive vitamin D metabolites and phenytoin has been associated with decreased BMD in females (43). However, vitamin D levels did not differ in boys with MDD versus controls, and, in fact, were higher in girls with MDD than in controls.

In this study, we also found inverse associations between bone turnover markers (markers of collagen synthesis and degradation) and severity of depression in adolescent girls whereas in studies of older adults (> 65 years of age), markers of collagen degradation were found to be elevated in depressed individuals (44). The reason for this difference may be due to differences in bone turnover across the age-spectrum with healthy adolescents being in a state of bone acquisition and therefore a state of increased bone formation and older adults having much higher rates of bone resorption.

Interestingly, in our study, girls with MDD had higher vitamin D levels and a higher free androgen index compared to healthy controls. It is possible that these differential levels masked BMD differences in girls with MDD and controls, although adjusting for vitamin D and free androgen index did not change our findings. Also, our data are consistent with previous studies demonstrating differential effects of depression on males as compared to females. The potential mechanism of this differential effect in males versus females is unknown. Perhaps one of the main mediators of low bone density in depression is obesity and increased visceral fat. As Fintini et al demonstrate, obesity has a significant negative effect on BMD in boys but not girls (39).

The limitations of our study include the fact that it is a cross-sectional study and therefore causation cannot be determined. Secondly, the evaluation of the severity of depressive symptoms was based on questionnaires which rely on self-report. We also do not have data concerning the calcium intake of participants in the study, which may affect BMD. Also, although there were a priori reasons to examine the relationship between MDD and BMD for boys and girls separately (31), no interactions were found between sex and MDD for any of the BMD measures. Lastly, we did not assess visceral fat and subcutaneous fat in this study, and were thus not able to determine whether differences in regional fat mass affect bone metabolism in MDD.

In conclusion, we have demonstrated that boys with MDD have significantly lower BMD as compared to healthy controls and this effect is not seen in girls with MDD. It is critical for providers caring for adolescents, particularly males with depression, to be aware of this association and the potential for increased risk of fracture. Further studies in adolescents will be important to better delineate this relationship.

Acknowledgments

Grant support: The project was supported by the Claflin Award (PI Misra), Grant Numbers UL1 RR02575803 and M01RR01066, Harvard Clinical and Translational Science Center, from the National Center for Research Resources and NIH grant K23 DK094820 (Fazeli). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Research Resources or the National Institutes of Health.

We thank the nurses and bionutritionists at the Clinical Research Center at Massachusetts General Hospital and our research participants, without whom this study would not have been possible. We also thank the staff at McLean Hospital, Belmont, MA, for their help with this study.

Acronyms

MDD
major depressive disorderl
BMD
bone mineral density
BMAD
bone mineral apparent density
P1NP
N-terminal propeptide of type 1 procollagen
CTX
Type I collagen C-telopeptide
BMI
body mass index
SSRI
selective serotonin reuptake inhibitor
CDI
Children’s Depression Inventory
CDRS-R
Children’s Depression Rating Scale-revised
DXA
dual energy x-ray absorptiometry
IGF-1
Insulin-like growth factor-1
SHBG
sex hormone binding globulin

Footnotes

The authors have no conflicts of interest to disclose. The funding sources had no role in study design; the collection, analysis or interpretation of the data; the writing of the report; or the decision to submit the paper for publication.

References

1. Shaffer D, Fisher P, Dulcan MK, Davies M, Piacentini J, Schwab-Stone ME, Lahey BB, Bourdon K, Jensen PS, Bird HR, Canino G, Regier DA. The NIMH Diagnostic Interview Schedule for Children Version 2.3 (DISC-2.3): description, acceptability, prevalence rates, and performance in the MECA Study. Methods for the Epidemiology of Child and Adolescent Mental Disorders Study. J Am Acad Child Adolesc Psychiatry. 1996;35:865–77. [PubMed]
2. Birmaher B, Brent DA, Benson RS. Summary of the practice parameters for the assessment and treatment of children and adolescents with depressive disorders. American Academy of Child and Adolescent Psychiatry. J Am Acad Child Adolesc Psychiatry. 1998;37:1234–8. [PubMed]
3. Lewinsohn PM, Rohde P, Seeley JR. Major depressive disorder in older adolescents: prevalence, risk factors, and clinical implications. Clin Psychol Rev. 1998;18:765–94. [PubMed]
4. Wu Q, Magnus JH, Liu J, Bencaz AF, Hentz JG. Depression and low bone mineral density: a meta-analysis of epidemiologic studies. Osteoporos Int. 2009;20:1309–20. [PubMed]
5. Cizza G, Primma S, Coyle M, Gourgiotis L, Csako G. Depression and osteoporosis: a research synthesis with meta-analysis. Horm Metab Res. 2010;42:467–82. [PMC free article] [PubMed]
6. Yirmiya R, Bab I. Major depression is a risk factor for low bone mineral density: a meta-analysis. Biol Psychiatry. 2009;66:423–32. [PubMed]
7. Jacka FN, Pasco JA, Mykletun A, Williams LJ, Hodge AM, O’Reilly SL, Nicholson GC, Kotowicz MA, Berk M. Association of Western and traditional diets with depression and anxiety in women. Am J Psychiatry. 2010;167:305–11. [PubMed]
8. Pasco JA, Williams LJ, Jacka FN, Henry MJ, Coulson CE, Brennan SL, Leslie E, Nicholson GC, Kotowicz MA, Berk M. Habitual physical activity and the risk for depressive and anxiety disorders among older men and women. Int Psychogeriatr. 2010;23:292–8. [PubMed]
9. Haney EM, Chan BK, Diem SJ, Ensrud KE, Cauley JA, Barrett-Connor E, Orwoll E, Bliziotes MM. Association of low bone mineral density with selective serotonin reuptake inhibitor use by older men. Arch Intern Med. 2007;167:1246–51. [PubMed]
10. Diem SJ, Blackwell TL, Stone KL, Yaffe K, Haney EM, Bliziotes MM, Ensrud KE. Use of antidepressants and rates of hip bone loss in older women: the study of osteoporotic fractures. Arch Intern Med. 2007;167:1240–5. [PubMed]
11. Richards JB, Papaioannou A, Adachi JD, Joseph L, Whitson HE, Prior JC, Goltzman D. Effect of selective serotonin reuptake inhibitors on the risk of fracture. Arch Intern Med. 2007;167:188–94. [PubMed]
12. Blaine B. Does depression cause obesity?: A meta-analysis of longitudinal studies of depression and weight control. J Health Psychol. 2008;13:1190–7. [PubMed]
13. de Wit L, Luppino F, van Straten A, Penninx B, Zitman F, Cuijpers P. Depression and obesity: a meta-analysis of community-based studies. Psychiatry Res. 2010;178:230–5. [PubMed]
14. Luppino FS, de Wit LM, Bouvy PF, Stijnen T, Cuijpers P, Penninx BW, Zitman FG. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010;67:220–9. [PubMed]
15. Goodman E, Whitaker RC. A prospective study of the role of depression in the development and persistence of adolescent obesity. Pediatrics. 2002;110:497–504. [PubMed]
16. Pine DS, Goldstein RB, Wolk S, Weissman MM. The association between childhood depression and adulthood body mass index. Pediatrics. 2001;107:1049–56. [PubMed]
17. Cole ZA, Harvey NC, Kim M, Ntani G, Robinson SM, Inskip HM, Godfrey KM, Cooper C, Dennison EM. Increased fat mass is associated with increased bone size but reduced volumetric density in pre pubertal children. Bone. 2011 [PMC free article] [PubMed]
18. Russell M, Mendes N, Miller KK, Rosen CJ, Lee H, Klibanski A, Misra M. Visceral fat is a negative predictor of bone density measures in obese adolescent girls. J Clin Endocrinol Metab. 2010;95:1247–55. [PubMed]
19. Aaron DJ, Kriska AM, Dearwater SR, Cauley JA, Metz KF, LaPorte RE. Reproducibility and validity of an epidemiologic questionnaire to assess past year physical activity in adolescents. Am J Epidemiol. 1995;142:191–201. [PubMed]
20. Kovacs M. Rating scales to assess depression in school-aged children. Acta Paedopsychiatr. 1981;46:305–15. [PubMed]
21. Mayes TL, Bernstein IH, Haley CL, Kennard BD, Emslie GJ. Psychometric properties of the Children’s Depression Rating Scale-Revised in adolescents. J Child Adolesc Psychopharmacol. 2010;20:513–6. [PMC free article] [PubMed]
22. Greulich WPS. Radiographic atlas of skeletal development of the hand and wrist. 2. Stanford University Press; Stanford: 1959. Stanford University Press, Stanford.
23. Katzman DK, Bachrach LK, Carter DR, Marcus R. Clinical and anthropometric correlates of bone mineral acquisition in healthy adolescent girls. J Clin Endocrinol Metab. 1991;73:1332–9. [PubMed]
24. Barthe N, Braillon P, Ducassou D, Basse-Cathalinat B. Comparison of two Hologic DXA systems (QDR 1000 and QDR 4500/A) Br J Radiol. 1997;70:728–39. [PubMed]
25. Johnson J, Dawson-Hughes B. Precision and stability of dual-energy X-ray absorptiometry measurements. Calcif Tissue Int. 1991;49:174–8. [PubMed]
26. Michelson D, Stratakis C, Hill L, Reynolds J, Galliven E, Chrousos G, Gold P. Bone mineral density in women with depression. N Engl J Med. 1996;335:1176–81. [PubMed]
27. Yazici KM, Akinci A, Sutcu A, Ozcakar L. Bone mineral density in premenopausal women with major depressive disorder. Psychiatry Res. 2003;117:271–5. [PubMed]
28. Coelho R, Silva C, Maia A, Prata J, Barros H. Bone mineral density and depression: a community study in women. J Psychosom Res. 1999;46:29–35. [PubMed]
29. Robbins J, Hirsch C, Whitmer R, Cauley J, Harris T. The association of bone mineral density and depression in an older population. J Am Geriatr Soc. 2001;49:732–6. [PubMed]
30. Schweiger U, Weber B, Deuschle M, Heuser I. Lumbar bone mineral density in patients with major depression: evidence of increased bone loss at follow-up. Am J Psychiatry. 2000;157:118–20. [PubMed]
31. Mussolino ME, Jonas BS, Looker AC. Depression and bone mineral density in young adults: results from NHANES III. Psychosom Med. 2004;66:533–7. [PubMed]
32. Mussolino ME. Depression and hip fracture risk: the NHANES I epidemiologic follow-up study. Public Health Rep. 2005;120:71–5. [PMC free article] [PubMed]
33. Dorn LD, Susman EJ, Pabst S, Huang B, Kalkwarf H, Grimes S. Association of depressive symptoms and anxiety with bone mass and density in ever-smoking and never-smoking adolescent girls. Arch Pediatr Adolesc Med. 2008;162:1181–8. [PMC free article] [PubMed]
34. Dorn LD, Pabst S, Sontag LM, Kalkwarf HJ, Hillman JB, Susman EJ. Bone mass, depressive, and anxiety symptoms in adolescent girls: variation by smoking and alcohol use. J Adolesc Health. 2011;49:498–504. [PMC free article] [PubMed]
35. Halbreich U, Rojansky N, Palter S, Hreshchyshyn M, Kreeger J, Bakhai Y, Rosan R. Decreased bone mineral density in medicated psychiatric patients. Psychosom Med. 1995;57:485–91. [PubMed]
36. Furlan PM, Ten Have T, Cary M, Zemel B, Wehrli F, Katz IR, Gettes DR, Evans DL. The role of stress-induced cortisol in the relationship between depression and decreased bone mineral density. Biol Psychiatry. 2005;57:911–7. [PubMed]
37. Lieb K, Rexhausen JE, Kahl KG, Schweiger U, Philipsen A, Hellhammer DH, Bohus M. Increased diurnal salivary cortisol in women with borderline personality disorder. J Psychiatr Res. 2004;38:559–65. [PubMed]
38. Kahl KG, Greggersen W, Rudolf S, Stoeckelhuber BM, Bergmann-Koester CU, Dibbelt L, Schweiger U. Bone mineral density, bone turnover, and osteoprotegerin in depressed women with and without borderline personality disorder. Psychosom Med. 2006;68:669–74. [PubMed]
39. Fintini D, Brufani C, Grossi A, Ubertini G, Fiori R, Pecorelli L, Calzolari A, Cappa M. Gender differences in bone mineral density in obese children during pubertal development. J Endocrinol Invest. 2011;34:e86–91. [PubMed]
40. Ziere G, Dieleman JP, van der Cammen TJ, Hofman A, Pols HA, Stricker BH. Selective serotonin reuptake inhibiting antidepressants are associated with an increased risk of nonvertebral fractures. J Clin Psychopharmacol. 2008;28:411–7. [PubMed]
41. O’Keane V, Meaney AM. Antipsychotic drugs: a new risk factor for osteoporosis in young women with schizophrenia? J Clin Psychopharmacol. 2005;25:26–31. [PubMed]
42. Bolton JM, Targownik LE, Leung S, Sareen J, Leslie WD. Risk of low bone mineral density associated with psychotropic medications and mental disorders in postmenopausal women. J Clin Psychopharmacol. 2011;31:56–60. [PubMed]
43. Valimaki MJ, Tiihonen M, Laitinen K, Tahtela R, Karkkainen M, Lamberg-Allardt C, Makela P, Tunninen R. Bone mineral density measured by dual-energy x-ray absorptiometry and novel markers of bone formation and resorption in patients on antiepileptic drugs. J Bone Miner Res. 1994;9:631–7. [PubMed]
44. Kop WJ, Kuhl EA, Barasch E, Jenny NS, Gottlieb SS, Gottdiener JS. Association between depressive symptoms and fibrosis markers: the Cardiovascular Health Study. Brain Behav Immun. 2010;24:229–35. [PMC free article] [PubMed]