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Bone mass in schizophrenia and normal populations across different decades of life



Chronic schizophrenic patients have been reported as having higher osteoporosis prevalence. Survey the bone mass among schizophrenic patients and compare with that of the local community population and reported data of the same country to figure out the distribution of bone mass among schizophrenic patients.


965 schizophrenic patients aged 20 years and over in Yuli Veterans Hospital and 405 members aged 20 and over of the community living in the same town as the institute received bone mass examination by a heel qualitative ultrasound (QUS) device. Bone mass distribution was stratified to analyzed and compared with community population.


Schizophrenic patients have lower bone mass while they are young. But aging effect on bone mass cannot be seen. Accelerated bone mass loss during menopausal transition was not observed in the female schizophrenic patients as in the subjects of the community female population.


Schizophrenic patients have lower bone mass than community population since they are young. Further study to investigate the pathophysiological process is necessary to delay or avoid the lower bone mass in schizophrenia patients.

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Osteoporosis is a bone disease that can reduce both bone mass and bone strength. It is typically thought to be age-related [1] and can cause serious bone fractures that can have significant and even devastating physical, psychological and financial consequences for patients and their families [24]. The prevalence of schizophrenia is about 1% worldwide. Rigotti and colleagues[5] first reported decreased bone density in patients with a confirmed mental disorder as anorexia nervosa. Other researchers have reported similar findings in anorexia [68]. Osteoporosis was also reported in schizophrenia[9, 10] patient and the prevalence of non-traumatic fractures in chronic schizophrenic patients has been reported to be about 25% in a cross-sectional survey[10]. A prevalence of osteoporosis in chronic schizophrenic patients has been reported, but a study of the prevalence of osteoporosis in chronic schizophrenic patients on a large population has not previously been reported. In this study, 965 chronic in-patient schizophrenic cases in Yuli Veterans hospital of Yuli town in Taiwan were surveyed; 405 members of the community population were also surveyed as the control group simultaneously. The bone mass distribution in the chronic schizophrenic patients was evaluated and compared with that of the community population subjects.


Study Population

The present study included 965 patients, who were older than 20 years old, chronic schizophrenia admitted to the Psychiatric Department of Yuli Veterans Hospital in Taiwan, ROC, between 2003 and 2004. All of these patients met the DSM-IV criteria for schizophrenia as diagnosed by psychiatrists in Yuli Veterans Hospital. Patients with severe extra-pyramidal symptoms (EPS), poor disease control, or severe debility that precluded cooperation with the bone density survey were excluded from the study. For comparison, 405 community members, who were older than 20 years old, living in the same district as Yuli Veterans Hospital, also entered the study. All residents who lived in this district were visited at their home. Those who were not living in Yuli Town during the survey period or did not give consent or had medical or mental disability that prevented them from completing the examination were excluded. The study was approved by the medical ethics policy of the Institutional Review Board Committee at Yuli Veterans Hospital (serial No. 92-11-02A).

Bone Mass and Quantitative Ultrasound

A QUS-II Calcaneal Ultrasonometer (Metra Biosystems, Mountain View, CA, USA) was used to measure bone density as broadband ultrasound attenuation (BUA) data. Ultrasound bone densiometry is reported to correlate well with the results of DXA and can predict osteoporosis-related fracture[11, 12] or detect bone fragility [1315]. But there are many authors who question the precision of peripheral bone mineral density. Some authors reported that QUS parameters couldn't be used to predict osteopenia and that the sensitivities and specificities of QUS parameters were not high enough to be used as an alternative method of dual-energy x-ray absorptiometry (DXA) [1619]. DXA is gold standard for measuring BMD is currently[15, 20, 21]. However, DXA scans are time-consuming, costly and expose the patient to radiation, which makes it a less-than-ideal method for a large population survey. On the contrary, a calcaneal ultrasonometer is timesaving, portable and suitable method for large surveys. For this reason, we chose to use it in this study.

Osteoporosis is defined by decreased bone mineral density (BMD) to a level of or less than -2.5 SD of the mean value of young adults. Firstly, our group assessed the precision of the quantitative ultrasound densitometry. Intra-test precision was calculated from three repeated scans with repositioning in 25 volunteers; the short-term coefficient of variation was 3.5% for BUA. T-scores used in our data were calculated from measured BUA data, the apparatus' specific threshold and further adjustment using data from Chinese patients living in Taiwan as reported by N.P. Yang[22]. Low bone mass was defined by a T-score of less than -1.0, and severe low bone mass was defined by a T-score of -2.5 or lower in this study. Weight and height data were also measured and collected.

Statistical Analysis

All subjects were classified into two subject groups. Admitted schizophrenic patients were classified as schizophrenic patient group. Residents lived in the community were classified as community population group. All the subjects were classified into 5 age groups in decades of age from 20 to 60 years old and 60 years above. Correlation between measured BUA value and weight, gender, subject groups, and age groups was tested by fractional factorial generalized linear model. Interactions between age groups and subject groups were also tested in the same model. Effects of weight, gender and age groups on the differences of means of measured BUA value was tested with generalized linear model in each subject group. Trends of mean BUA values between age groups stratified by subject groups and gender was tested by nonparametric test for trend. Prevalence of osteoporosis data were stratified by both gender and age groups for both groups and reported by descriptive analysis and was compared further with the prevalence reported in Taiwan. All statistical calculations were conducted using the Stata 10/SE system for Mac.


The demographic data and BUA value results stratified by subject groups, age groups and gender are presented in Table 1. There were 623 (65%) male and 342 (35%) female patients in the schizophrenic patient group. Mean age was 47.6 ± 15.9 (range 21–95) years in the male patients and 46.8 ± 11.2 (range 20–78) years in the female patients. In the community population group, there were 183 (45%) male and 222 (55%) female subjects; mean age was 60.0 ± 18.2 (range 20–89) years in male and 54.2 ± 16.0 (range 20–88) years in the female.

Table 1 The Basic Characteristics of the Schizophrenic Patients compared to community population, sampled from the same community, Yu-Li area, Taiwan

Mean BUA values were lower for male schizophrenic patients as compared with male community population group of same age groups if they were 60 years old or younger. But mean BUA value was higher for male schizophrenic patients in the age group older than 60 years. Mean BUA values were also lower for female schizophrenic patients as compared with female community population group of same age groups if they were younger than 50 years old. But mean BUA values for female schizophrenic patients were higher in age groups older than 50 years. This is demonstrated in Fig. 1. A significant trend of mean BUA value with aging was observed in males (p = 0.001) and females (p < 0.001) of community population. It is insignificant in male and female schizophrenic patients group.

Figure 1
figure 1

BUA vs. age with 95% confidence and fit line by subject population and sex.

The male schizophrenic patient group has a higher mean weight than the male community population group except in the age group 40–50 and the age group > 60 years old. The mean weight of the female schizophrenic patient group is higher than the female community population group across all age groups.

Table 2 shows the fractional factorial generalized linear model result of subject groups, gender, weight, and age groups on BUA. The BUA value of females is significant lower than that of males (p < 0.001). Lean subjects have a significantly lower BUA value (p < 0.001). The schizophrenic patient group has a significantly lower BUA value (p < 0.01). Significant effect is seen in the age groups 20–29 (p < 0.001), 30–39 (p < 0.01) and 40–49 (p < 0.05) years old on BUA value. Significant interaction can be seen between subject groups and age group 50–59 and age group > 60 years old.

Table 2 Comparison of BUA in schizophrenic patient and community population group stratified by age group, gender by fractional factorial generalized linear model

Generalized linear model was used to test the effect of gender, weight, and age on the difference of mean BUA value and was stratified by subject groups. The result is shown in Table 3. Males have significantly higher mean BUA value than females in both schizophrenic patient and community population groups (p < 0.05). Higher BUA value can be significantly seen in heavier subjects in both subject groups (p < 0.05 in schizophrenic patient group, and p < 0.001 in community population group). In the community population group, the coefficient of age is negative and is significant (p < 0.001). But the coefficient of age is positive and is significant also (p < 0.05) in the schizophrenia patient group. Interaction is tested also between age and weight and is insignificant.

Table 3 Comparison of BUA by gender, weight, and age in schizophrenic patient and community population group with generalized linear model

Table 4 shows the comparison of prevalence of low bone mass (t-score <-1 computed from BUA value) and severe low bone mass (t-score -2.5 computed from BUA value) between schizophrenic patient group, community population group and surveyed data in Kinmen, Taiwan[22]. The prevalence of low bone mass and severe low bone mass is both higher in schizophrenic patients in age group 20–29 and age 30–39 years old. In age groups 40–49, 50–59 and > 60 years old, the prevalence of low bone mass and severe low bone mass of schizophrenic is also higher than the community population group and the surveyed data in Kinmen, Taiwan.

Table 4 Comparison of low bone mass condition between the comminuty population and a schizophrenic population in Taiwanese


The results of our study reveal lower BUA value in the schizophrenic patient group while these patients are young. The prevalence of low bone mass and severe low bone mass showed similar changes when compared with community populations from the same geographical area and from Kinmen Island, which is in a different geographical location. The geography- related effect can be ruled out in this study. Yuli town is in a rural area in the east part of Taiwan. Healthier young people move to the cities for work. For this reason, the sample size of the 20–29 and the 30–39 year old group is small in the community population group. This is also the reason of higher osteoporosis prevalence in the 20–29 year-old male group.

Poorer bone mass in psychiatric patients has been reported in many literatures[9, 10, 23]. Since it can be seen even in the age group 20–29 years, inadequate peak bone mass build or accelerated bone absorption is the possible cause of low bone mass. Reported risk factors for the increased prevalence of osteoporosis in psychiatric patients include polydipsia[24], the use of neuroleptics [9, 2527] and the resulting hyperprolactinemia[11, 2832], heavy smoking[33], poor diet, drug and alcohol abuse[34], and lack of exercise[30]. These factors were supposed to accelerate bone absorption. The onset of schizophrenia typically occurs during adolescence and young adulthood. Therefore, the use of antipsychotic medications with their attendant metabolic changes also begins at the same stage. Lifestyle changes also begin at about the same period. Each of these factors or a combined effect of these factors may inhibit the build-up of peak bone mass or accelerate bone loss, and may be the reason for low BUA values in age groups younger than 50 years.

A rapid decrease of bone mass and an increase of osteoporosis during the menopausal transition are reported in the community female population[35, 36]. However, the trend test of BUA value in female schizophrenic patients cannot show the transition effect in our study. Hyperprolactinemia caused by the medication of many kinds of neuroleptics was suspected to suppress gonadotropins and gonadal hormones[37, 38]. Low BMD values and hypogonadism was reported in young schizophrenic women with hyperprolactinemia who were treated with prolactin-raising antipsychotics[39]. Effect of decrease of gonadotropin on bone mass during menopausal transition in female schizophrenic patients may be irrelevant for female subjects in the community population. Further study is necessary to explain this.

The BUA value keeps relatively stable while aging, as shown in trend analysis. In the generalized linear model, BUA increased significantly with age increase. Aging is not a risk factor of poor bone mass in schizophrenic patient group in our study, and is a protective factor as the statistical result. Aging has been reported to be a risk factor of osteopenia in psychiatric patients treated with prolactin-elevating antipsychotics.[40] Our study does not include antipsychotics used to treat these patients. Classic neuroleptics were reported to cause hyperprolactinemia and an increased prevalence of osteoporosis than atypical neuroleptics [36, 37, 41, 42]. However, some atypical neuroleptic agents are reported to produce either the same or more pronounced hyperprolactinemia[43, 44]. Interaction between aging and prolactin-elevating antipsychotics may exist. Study is necessary to explore the effect of aging on schizophrenic patients and to explore whether aging is a protective factor.

The chronic schizophrenic patient may also have several of the risk factors for osteoporosis-related fractures, commonly including unsteady gait, decreased physical activity and the use of sedative medications and low cognitive function. Residents of a long-term care unit are at a higher risk of osteoporotic fractures due to one or more of following risk factors: advanced age, poor physical function, low muscle strength, decreased cognition, dementia, poor nutrition and the use of certain medications.[4] The process of accelerated osteoporosis in schizophrenic patients needs to be explored and may be prevented or changed to preserve bone mass in these patients.


In this study, schizophrenic patients have lower BUA values since they are young when compared with the community population. Aging and menopausal transition effect on bone mass in the general female population cannot be seen in the schizophrenic patient group. The bone mass distribution of schizophrenic patients is different from that of the community population. This is a cross-sectional study, and does not include the information of sex hormone, bone metabolism related hormones, the type of antipsychotic medication used and bone turnover markers is its limitation. Use of ultrasonographic assessments instead of DXA scans and the assessment of bone mass at only one location is another limitation of this survey. Further studies are necessary to clarify the hormonal changes, bony metabolism and effects of medication on bone mass characteristics in schizophrenic patients. Prospective study begins from the onset of schizophrenia may be also necessary. Once the cause and effect relationships are clearer, intervention may be used to either prevent or delay the onset of osteoporosis in these patients.


  1. Hui SL, Slemenda CW, Johnston CC: Age and bone mass as predictors of fracture in a prospective study. J Clin Invest. 1988, 81: 1804-1809. 10.1172/JCI113523.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Consensus conference: Osteoporosis. JAMA. 1984, 252: 799-802. 10.1001/jama.252.6.799.

    Article  Google Scholar 

  3. Cummings SR, Rubin SM, Black D: The future of hip fractures in the United States. Numbers, costs, and potential effects of postmenopausal estrogen. Clin Orthop Relat Res. 1990, 163-166.

    Google Scholar 

  4. NIH Consensus Statement. Osteoporosis prevention, diagnosis, and therapy. (Statement NC ed.). 17 (1): 1-36.

  5. Rigotti NA, Neer RM, Jameson L: Osteopenia and bone fractures in a man with anorexia nervosa and hypogonadism. JAMA. 1986, 256: 385-388. 10.1001/jama.256.3.385.

    Article  CAS  PubMed  Google Scholar 

  6. Biller BM, Saxe V, Herzog DB, Rosenthal DI, Holzman S, Klibanski A: Mechanisms of osteoporosis in adult and adolescent women with anorexia nervosa. J Clin Endocrinol Metab. 1989, 68: 548-554.

    Article  CAS  PubMed  Google Scholar 

  7. Newman MM, Halmi KA: Relationship of bone density to estradiol and cortisol in anorexia nervosa and bulimia. Psychiatry Res. 1989, 29: 105-112. 10.1016/0165-1781(89)90190-X.

    Article  CAS  PubMed  Google Scholar 

  8. Salisbury JJ, Mitchell JE: Bone mineral density and anorexia nervosa in women. Am J Psychiatry. 1991, 148: 768-774.

    Article  CAS  PubMed  Google Scholar 

  9. 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: 485-491.

    Article  CAS  PubMed  Google Scholar 

  10. Abraham G, Friedman RH, Verghese C, de Leon J: Osteoporosis and schizophrenia: can we limit known risk factors?. Biol Psychiatry. 1995, 38: 131-132. 10.1016/0006-3223(95)00062-L.

    Article  CAS  PubMed  Google Scholar 

  11. Greenspan SL, Cheng S, Miller PD, Orwoll ES: Clinical performance of a highly portable, scanning calcaneal ultrasonometer. Osteoporos Int. 2001, 12: 391-398. 10.1007/s001980170108.

    Article  CAS  PubMed  Google Scholar 

  12. Meszaros S, Toth E, Ferencz V, Csupor E, Hosszu E, Horvath C: Calcaneous quantitative ultrasound measurements predicts vertebral fractures in idiopathic male osteoporosis. Joint Bone Spine. 2007, 74: 79-84. 10.1016/j.jbspin.2006.04.008.

    Article  PubMed  Google Scholar 

  13. Gonnelli S, Cepollaro C: The use of ultrasound in the assessment of bone status. J Endocrinol Invest. 2002, 25: 389-397.

    Article  CAS  PubMed  Google Scholar 

  14. Frost ML, Blake GM, Fogelman I: Quantitative ultrasound and bone mineral density are equally strongly associated with risk factors for osteoporosis. J Bone Miner Res. 2001, 16: 406-416. 10.1359/jbmr.2001.16.2.406.

    Article  CAS  PubMed  Google Scholar 

  15. Frost ML, Blake GM, Fogelman I: A comparison of fracture discrimination using calcaneal quantitative ultrasound and dual X-ray absorptiometry in women with a history of fracture at sites other than the spine and hip. Calcif Tissue Int. 2002, 71: 207-211. 10.1007/s00223-001-2074-y.

    Article  CAS  PubMed  Google Scholar 

  16. Cetin A, Erturk H, Celiker R, Sivri A, Hascelik Z: The role of quantitative ultrasound in predicting osteoporosis defined by dual X-ray absorptiometry. Rheumatol Int. 2001, 20: 55-59. 10.1007/PL00006857.

    Article  CAS  PubMed  Google Scholar 

  17. Dane C, Dane B, Cetin A, Erginbas M: The role of quantitative ultrasound in predicting osteoporosis defined by dual-energy X-ray absorptiometry in pre- and postmenopausal women. Climacteric. 2008, 11: 296-303. 10.1080/13697130802178471.

    Article  CAS  PubMed  Google Scholar 

  18. Mulleman D, Legroux-Gerot I, Duquesnoy B, Marchandise X, Delcambre B, Cortet B: Quantitative ultrasound of bone in male osteoporosis. Osteoporos Int. 2002, 13: 388-393. 10.1007/s001980200044.

    Article  CAS  PubMed  Google Scholar 

  19. Pocock NA, Culton NL, Gilbert GR, Hoy ML, Babicheva R, Chu JM, Lee KS, Freund J: Potential roles for quantitative ultrasound in the management of osteoporosis. Med J Aust. 2000, 173: 355-358.

    CAS  PubMed  Google Scholar 

  20. Hans D, Fuerst T, Lang T, Majumdar S, Lu Y, Genant HK, Gluer C: How can we measure bone quality?. Baillieres Clin Rheumatol. 1997, 11: 495-515. 10.1016/S0950-3579(97)80017-9.

    Article  CAS  PubMed  Google Scholar 

  21. Herd RJ, Blake GM, Miller CG, Parker JC, Fogelman I: The ultrasonic assessment of osteopenia as defined by dual X-ray absorptiometry. Br J Radiol. 1994, 67: 631-635.

    Article  CAS  PubMed  Google Scholar 

  22. Yang NP, Jen I, Chuang SY, Chen SH, Chou P: Screening for low bone mass with quantitative ultrasonography in a community without dual-energy X-ray absorptiometry: population-based survey. BMC Musculoskelet Disord. 2006, 7: 24-10.1186/1471-2474-7-24.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Meyer JM, Lehman D: Bone mineral density in male schizophrenia patients: a review. Ann Clin Psychiatry. 2006, 18: 43-48. 10.1080/10401230500464687.

    Article  PubMed  Google Scholar 

  24. Delva NJ, Crammer JL, Jarzylo SV, Lawson JS, Owen JA, Sribney M, Weir BJ, Yendt ER: Osteopenia, pathological fractures, and increased urinary calcium excretion in schizophrenic patients with polydipsia. Biol Psychiatry. 1989, 26: 781-793. 10.1016/0006-3223(89)90119-4.

    Article  CAS  PubMed  Google Scholar 

  25. Rojansky N, Halbreich U, Rosan R, Wang K, Hreshchyshyn M: Hormonally-related osteoporosis in chronic psychiatric patients. Neuroendocrin Letters. 1990, 12: 304-

    Google Scholar 

  26. Kutsuma K: [Bone histomorphometric study of the ilium in psychiatric patients with longterm administration of anti-psychiatric drugs]. Nippon Seikeigeka Gakkai Zasshi. 1993, 67: 583-590.

    CAS  PubMed  Google Scholar 

  27. Lacro JP, Jeste DV: Physical comorbidity and polypharmacy in older psychiatric patients. Biol Psychiatry. 1994, 36: 146-152. 10.1016/0006-3223(94)91220-3.

    Article  CAS  PubMed  Google Scholar 

  28. Klibanski A, Neer RM, Beitins IZ, Ridgway EC, Zervas NT, McArthur JW: Decreased bone density in hyperprolactinemic women. N Engl J Med. 1980, 303: 1511-1514.

    Article  CAS  PubMed  Google Scholar 

  29. Schlechte JA, Sherman B, Martin R: Bone density in amenorrheic women with and without hyperprolactinemia. J Clin Endocrinol Metab. 1983, 56: 1120-1123.

    Article  CAS  PubMed  Google Scholar 

  30. Ataya K, Mercado A, Kartaginer J, Abbasi A, Moghissi KS: Bone density and reproductive hormones in patients with neuroleptic-induced hyperprolactinemia. Fertil Steril. 1988, 50: 876-881.

    Article  CAS  PubMed  Google Scholar 

  31. Kartaginer J, Ataya K, Mercado A, Abbasi A: Osteoporosis associated with neuroleptic treatment. A case report. J Reprod Med. 1990, 35: 198-202.

    CAS  PubMed  Google Scholar 

  32. Naidoo U, Goff DC, Klibanski A: Hyperprolactinemia and bone mineral density: the potential impact of antipsychotic agents. Psychoneuroendocrinology. 2003, 28 (Suppl 2): 97-108. 10.1016/S0306-4530(02)00129-4.

    Article  CAS  PubMed  Google Scholar 

  33. de Leon J, Verghese C, Tracy JI, Josiassen RC, Simpson GM: Polydipsia and water intoxication in psychiatric patients: a review of the epidemiological literature. Biol Psychiatry. 1994, 35: 408-419. 10.1016/0006-3223(94)90008-6.

    Article  CAS  PubMed  Google Scholar 

  34. Lindholm J, Steiniche T, Rasmussen E, Thamsborg G, Nielsen IO, Brockstedt-Rasmussen H, Storm T, Hyldstrup L, Schou C: Bone disorder in men with chronic alcoholism: a reversible disease?. J Clin Endocrinol Metab. 1991, 73: 118-124.

    Article  CAS  PubMed  Google Scholar 

  35. Sowers MR, Jannausch M, McConnell D, Little R, Greendale GA, Finkelstein JS, Neer RM, Johnston J, Ettinger B: Hormone predictors of bone mineral density changes during the menopausal transition. J Clin Endocrinol Metab. 2006, 91: 1261-1267. 10.1210/jc.2005-1836.

    Article  CAS  PubMed  Google Scholar 

  36. Guthrie JR, Ebeling PR, Hopper JL, Barrett-Connor E, Dennerstein L, Dudley EC, Burger HG, Wark JD: A prospective study of bone loss in menopausal Australian-born women. Osteoporos Int. 1998, 8: 282-290. 10.1007/s001980050066.

    Article  CAS  PubMed  Google Scholar 

  37. Halbreich U, Palter S: Accelerated osteoporosis in psychiatric patients: possible pathophysiological processes. Schizophr Bull. 1996, 22: 447-454.

    Article  CAS  PubMed  Google Scholar 

  38. Levinson DF, Simpson FM: Antipsychotic drug side effects. 1987, Washington, DC: American Psychiatric Association

    Google Scholar 

  39. 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. 10.1097/

    Article  PubMed  Google Scholar 

  40. Liu-Seifert H, Kinon BJ, Ahl J, Lamberson S: Osteopenia associated with increased prolactin and aging in psychiatric patients treated with prolactin-elevating antipsychotics. Ann N Y Acad Sci. 2004, 1032: 297-298. 10.1196/annals.1314.044.

    Article  PubMed  Google Scholar 

  41. Bilici M, Cakirbay H, Guler M, Tosun M, Ulgen M, Tan U: Classical and atypical neuroleptics, and bone mineral density, in patients with schizophrenia. Int J Neurosci. 2002, 112: 817-828. 10.1080/00207450290025833.

    Article  PubMed  Google Scholar 

  42. Becker D, Liver O, Mester R, Rapoport M, Weizman A, Weiss M: Risperidone, but not olanzapine, decreases bone mineral density in female premenopausal schizophrenia patients. J Clin Psychiatry. 2003, 64: 761-766.

    Article  CAS  PubMed  Google Scholar 

  43. Miller KK: Management of hyperprolactinemia in patients receiving antipsychotics. CNS Spectr. 2004, 9: 28-32.

    PubMed  Google Scholar 

  44. Hamner M: The effects of atypical antipsychotics on serum prolactin levels. Ann Clin Psychiatry. 2002, 14: 163-173.

    Article  PubMed  Google Scholar 

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Thanks for the grant support from Yuli Veterans Hospital. Thanks to all the nursing staff inthe ward of Department of Psychiatry of Yuli Veterans Hospital for helping and accompanying these patients while they received calcaneal ultrasonometer examination. Thanks to Katherine Diane Cox for the copyediting of the paper.

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Correspondence to Jenn-Huei Renn.

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The whole study is funded by research budget of Yuli Veterans Hospital for supporting and encouraging staff to perform study related to medicine. Otherwise, there are no other competing interests.

Authors' contributions

JHR conducted and performed the whole project. NPY carried the data analysis. CMC and CYL confirmed the schizophrenia diagnosis. THL sampled the schizophrenic patients within all inpatient in Yuli Veterans Hospital and arranged and recorded result and arranged the schedule of ultrasound densitometer. PC designed and supervised the whole project.

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Renn, JH., Yang, NP., Chueh, CM. et al. Bone mass in schizophrenia and normal populations across different decades of life. BMC Musculoskelet Disord 10, 1 (2009).

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