Reference Ranges for Bone Mineral Density and Prevalence of Osteoporosis in Vietnamese Men and Women
© Ho-Pham et al; licensee BioMed Central Ltd. 2011
Received: 24 May 2011
Accepted: 10 August 2011
Published: 10 August 2011
The aim of this study was to examine the effect of different reference ranges in bone mineral density on the diagnosis of osteoporosis.
This cross-sectional study involved 357 men and 870 women aged between 18 and 89 years, who were randomly sampled from various districts within Ho Chi Minh City, Vietnam. BMD at the femoral neck, lumbar spine and whole body was measured by DXA (Hologic QDR4500). Polynomial regression models and bootstraps method were used to determine peak BMD and standard deviation (SD). Based on the two parameters, we computed T-scores (denoted by T VN) for each individual in the study. A similar diagnosis was also done based on T-scores provided by the densitometer (T DXA), which is based on the US White population (NHANES III). We then compared the concordance between T VN and T DXA in the classification of osteoporosis. Osteoporosis was defined according to the World Health Organization criteria.
In post-menopausal women, the prevalence of osteoporosis based on femoral neck T VN was 29%, but when the diagnosis was based on T DXA, the prevalence was 44%. In men aged 50+ years, the T VN-based prevalence of osteoporosis was 10%, which was lower than T DXA-based prevalence (30%). Among 177 women who were diagnosed with osteoporosis by T DXA, 35% were actually osteopenia by T VN. The kappa-statistic was 0.54 for women and 0.41 for men.
These data suggest that the T- scores provided by the Hologic QDR4500 over-diagnosed osteoporosis in Vietnamese men and women. This over-diagnosis could lead to over-treatment and influence the decision of recruitment of participants in clinical trials.
Keywordsreference range bone mineral density osteoporosis women men
Osteoporosis and its consequence of fragility fracture represent a major public health problem not only in developed countries, but in developing countries as well . The number of fractures in Asia is higher than that in European countries combined. Of all the fractures in the world, approximately 17% was found to occur in Southeast Asia, 29% in West Pacific, as compared to 35% occurring in Europe . However, the prevalence of and risk factors for osteoporosis in Asian populations have not been well documented. Part of the problem is due to the lack of well-defined criteria for the diagnosis of osteoporosis in Asian men and women.
Currently, the operational definition of osteoporosis is based on a measurement of bone mineral density (BMD), which is the most robust predictor of fracture risk [3, 4]. BMD of an individual is often expressed in terms of its peak level and standard deviation to yield a T-score. The two parameters (i.e., peak BMD level and standard deviation) are commonly derived from a well characterized population of young individuals . An individual's T-score is actually the number of standard deviations from the peak BMD achieved during the age of 20 and 30 years [6, 7]. However, previous studies have suggested that peak BMD is different among ethnicities and between men and women [8, 9]. Therefore, the diagnosis of osteoporosis should ideally be based on sex- and ethnicity-specific reference range [10, 11].
Dual-energy × ray absorptiometry (DXA) is considered the gold standard method for measuring BMD . In recent years, DXA has been introduced to many Asian countries, including Vietnam, and is commonly used for the diagnosis of osteoporosis and treatment decision. In the absence of sex-specific reference data for local population, most doctors used the T-scores provided by the densitometer as a referent value to make diagnosis for an individual. However, it is not clear whether the reference data base used in the derivation of T-scores in these densitometers is appropriate for a local population. We hypothesize that there is considerable discrepancy in the diagnosis of osteoporosis between reference data. The present study was designed to test the hypothesis, by determining reference range of peak bone density for an Asian population, and then comparing the concordance between a population-specific T-score and the DXA-based T-score in the diagnosis of osteoporosis.
Study design and participants
The study was designed as a cross-sectional investigation, with the setting being Ho Chi Minh City, a major city in Vietnam. The research protocol and procedures were approved by the Scientific Committee of the People's Hospital 115 and Pham Ngoc Thach University of Medicine. All volunteer participants were provided with full information about the study's purpose and gave informed consent to participate in the study, according to the principles of medical ethics of the World Health Organization.
We used simple random sampling technique for identifying potential participants. We approached community organizations, including church and temples, and obtained the list of members, and then randomly selected individuals aged 18 or above. We sent a letter of invitation to the selected individuals. The participants received a free health check-up, and lipid analyses, but did not receive any financial incentive. No invited participants refused to participate in the study.
Participants were excluded from the study if they had diseases deemed to affect to bone metabolism such as hyperthyroidism, hyperparathyroidism, renal failure, malabsorption syndrome, alcoholism, chronic colitis, multi- myeloma, leukemia, and chronic arthritis.
Measurements and data collection
Data collection was done by trained research doctors and nurses using a validated questionnaire. The questionnaire solicited information, including anthropometry, lifestyle factors, dietary intakes, physical activity, and clinical history. Anthropometric parameters including age, weight, standing height were obtained. Body weight was measured on an electronic scale with indoor clothing without shoes. Height was determined without shoes on a portable stadiometer with mandible plane parallel to the floor. Each participant was asked to provide information on current and past smoking habits. Smoking was quantified in terms of the number of pack-years consumed in each ten-year interval age group. Alcohol intake in average numbers of standard drinks per day, at present as well as within the last 5 years, was obtained. Clinical data including blood pressure, pulse, and reproductive history (i.e. parity, age of menarche, and age of menopause), medical history (i.e. previous fracture, previous and current use of pharmacological therapies) were also obtained.
Bone mineral density
Areal BMD was measured at the lumbar spine (L2-L4), femoral neck, and whole body using a Hologic QDR 4500 (Hologic Corp, Madison, WI, USA). The short-term in vivo precision expressed as the coefficient of variation was 1.8% for the lumbar spine and 1.5% for the hip. The machine was standardized by standard phantom before each measurement.
The densitometer provided a T-score for each measured site. In this paper, the T-score is referred to as T DXA . We used the WHO criteria to categorize T DXA into three groups: osteoporosis if the T-score is equal to or lower than -2.5; osteopenia if T-score is between -1 and -2.5; and normal if T-score is equal or greater than -1.
Determination of reference range
In this analysis, we made use of the functional relationship between BMD and age to construct a reference range. A series of polynomial regression models (up to the third degree) were fitted to femoral neck, total hip and lumbar spine BMD as a function of age as follows: BMD = α + β1(age) + β2(age)2 + β3(age)3, where α is the intercept, β1, β1, and β3 are regression parameters, which were estimated from the observed data. Reduced models (i.e., quadratic and linear models) were considered, and the "final" model was chosen based on the Akaike Information Criterion (AIC). Peak BMD (p BMD) and ages at which it was reached were then estimated from the final model. Ninety-five percent confidence intervals (95% CI) for p BMD and ages of p BMD were determined by the bootstrap (resampling) method. The analysis was performed with R statistical software .
Based on the parameters in the polynomial regression models, we determined the means of peak BMD and standard deviation (SD) for spine and femoral neck BMD. Using the two parameters, we calculated the T-score for each individual (denoted by T VN), and used the WHO criteria to classify the T-score into three groups, namely, osteoporosis, osteopenia, and normal. The concordance between T DXA and T VN was then assessed by the kappa statistic.
Characteristics of participants
(n = 357)
(n = 870)
Body mass index (kg/m2)
Lumbar spine BMD (g/cm2)
Femoral neck BMD (g/cm2)
Total hip BMD (g/cm2)
Whole body BMD (g/cm2)
Peak bone mineral density
Estimates of parameters of the third degree polynomial regression model
Bone mineral density
β 1 age
Peak bone mineral density (pBMD) and age of pBMD in men and women
Age of pBMD (years)b
26 (24 - 29)
32 (29 - 35)
27 (25 - 29)
22 (19 - 24)
27 (25 - 30)
27 (25 - 29)
Prevalence of osteoporosis
Prevalence of osteoporosis and osteopenia in men and women aged 50+ years
As expected, although absolute values of T VN and T DXA were different, the correlation between them was high (r > 0.98). The linear equation (without intercept) linking the two scores is as follows: at the femoral neck, T VN = 1.177 × T DXA for women, and T VN = 1.246 × T DXA for men; at the lumbar spine, T VN = 1.298 × T DXA for women, and TVN = 1.207 × TDXA for men. The equations suggest that, for example, at the femoral neck, T VN was higher than T DXA by 0.18 SD (in men) to 0.25 SD (in women).
Concordance in diagnosis of osteoporosis between DXA provided T-scores and actual T-scores
Diagnosis based on
Diagnosis based on femoral neck T VN
femoral neck T DXA
Using the National Health and Nutrition Examination Survey (NHANES) reference data for US Whites (aged between 20 and 29) , we computed T-score for each individual aged 50+ years, and classified into either normal, osteopenia or osteoporosis group. We found that the prevalence of osteoporosis was 30% (n = 40/135) in men and 43% (n = 160/368) in women. These prevalence rates are almost identical to the prevalence derived from the T DXA. In fact, the concordance in osteoporosis classification between T DXA and NHANES data was 100% for men and 96% for women.
To assess the magnitude of the problem, it is essential to establish an appropriate measure for the diagnosis of osteoporosis. Currently, osteoporosis is operationally defined in terms of BMD, which is compared to a normative database . However, it is well known that measured values of BMD differ across ethnicities [9, 11, 14], and the referent database should therefore be ethnicity-specific. In this study, we have shown that there was a considerable discrepancy in the diagnosis of osteoporosis between referent data derived from the local population and referent data that are provided by the densitometer.
It is clear from this analysis that the densitometer reference data over-diagnosed osteoporosis in the Vietnamese population. Using the local normative data, we found that the prevalence of osteoporosis in Vietnamese women and men aged 50+ years was 29% and 10%, respectively. However, using the DXA-provided normative data, the prevalence in women and men was 44% and 30%, respectively. The discrepancy raises a question of which T-score is more appropriate. In a recent study in 328 Vietnamese postmenopausal women using DXA Lunar Prodigy, the prevalence of osteoporosis was 26% . Another smaller study in Vietnamese postmenopausal women living in United State showed that this prevalence was 37% . The prevalence of osteoporosis in postmenopausal Thai women was around 29% . In Caucasians, the prevalence of osteoporosis in postmenopausal women ranged between 20% and 25% [18, 19]. In summary, most of these studies in Asian and Caucasian women found that the prevalence of osteoporosis ranged between 20 and 30% [18–20], which is highly consistent with the present study's estimate. These data also suggest that the densitometer-provided T-score is not appropriate for the diagnosis of osteoporosis in Vietnamese women.
Why there were differences between T VN and T DXA? The most "proximate" explanation is that there were differences in peak BMD and standard deviation between the Hologic normative data and the present normative data. However, the standard deviation in BMD is very stable across populations; therefore, the main reason could be that peak BMD value provided by the Hologic densitometer was higher than peak BMD in Vietnamese. Assuming that SD of femoral neck BMD was 0.12 g/cm2, with T DXA, one could infer that peak BMD was 0.92 and 0.86 g/cm2 in men and women, respectively. These values are identical to the femoral neck BMD reference values for US White men and women of the National Health and Nutrition Examination Survey (NHANES). In reality, the observed peak BMD in our study was 0.85 g/cm2 (men) and 0.80 g/cm2 (women). It is obvious that the peak BMD provided by the densitometer was derived from a non-Vietnamese population, which may not be applicable to the Vietnamese population.
In this study, the relationship between BMD and age followed a third degree polynomial function, which is consistent with a recent study . According to this functional relationship, Vietnamese women achieved their peak BMD at the age of 27-29, which was later than that in Caucasian (20-25 years). Although it is not possible to determine the underlying factors for this apparent difference, it is well-known that Asian girls tend to have a later menarche than Caucasian girls (13 vs 12 years).
Osteoporosis in men, particularly Asian men, has not been well documented. The present study was among the first research about osteoporosis in Asian men. In this study, about one tenth of men aged over 50 had osteoporosis. This prevalence is highly comparable with previous estimate from Caucasian men . Individuals with osteoporosis are at high risk of fragility fracture [21, 22]. In this study, we found that almost 30% of women (and 10% of men) aged 50+ years had osteoporosis, implying that the magnitude of osteoporosis in Vietnam is as high as in developed countries.
The present results have to be interpreted within the context of strengths and potential limitations. First, the study represents one of the largest studies of osteoporosis in Asian populations, and as such, it increased the reliability of estimates of peak bone mass and prevalence of osteoporosis. Second, the study population is highly homogeneous, which reduces the effects of potential confounders that could compromise the estimates. The participants were randomly selected according to a rigorous sampling scheme, which ensures the representativeness of the general population. Third, the technique of measurement of BMD is considered "gold standard" for the assessment of bone strength. Nevertheless, the study also has a number of potential weaknesses. The participants in this study were sampled from an urban population; as a result, the study's finding may not be generalizable to the rural population. Because we excluded individuals with diseases deemed to interfere with bone metabolism, the prevalence of osteoporosis reported here could be an underestimate of the prevalence in the general population. Ideally, peak bone density should be estimated from a longitudinal study in which a large number of men and women is followed from the age of 5 till the age of 30, but such a study is not practically feasible. On the other hand, estimate of peak BMD in cross-sectional study such as the present study can be biased by unmeasured confounders.
Nevertheless, the present findings have important public health and clinical implications. Because individuals with T-scores being or less than -2.5 are often treated, the over-diagnosis by T DXA could have led to over-treatment in the general population. Moreover, individuals with T-scores being or less than -2.5 are also candidates for anti-fracture clinical trials or clinical studies, the use of T DXA could have included some women in such studies and exposed them to unnecessary risk. Thus, it seems prudent to use local normative data for the diagnosis of osteoporosis in order to avoid over-diagnosis or over-treatment.
In summary, these data suggest that the prevalence of osteoporosis in Vietnamese men (10%) and women (30%) aged 50+ years is comparable with those in Caucasian populations. The data also indicated that the T- score provided by the Hologic QDR4500 over-diagnosed osteoporosis in Vietnamese men and women. We propose to use the data developed in this study for the diagnosis of osteoporosis in the Vietnamese population.
The study was partially supported by a grant from the Department of Science and Technology, Ho Chi Minh City, and a grant from the University Commission for Development (CUD) program, Belgium. We thank the following friends and colleagues for their support and help in the recruitment and providing logistic support for the study: Fr. Pham Ba Lam, Fr. Vu Minh Danh, Mr. Pham Doan Phong, Mr. Luong Thang Phat, Mr. Nguyen Cong Phu, and Mr. Tien Ngoc Tuan. We thank Dr. Le Thi Ngoc Linh, Dr. Pham Ngoc Khanh of the People's Hospital 115; and our medical students Nguyen Thi Thanh Mai, Nguyen Hai Dang, Vo thi Thuy An, Nguyen thi Thanh Thao, Mai Duy Linh, Nguyen Vu Dat, Diem Dang Khoa, and Tran Hong Bao for their assistance in the interview of participants.
- Cooper C, Campion G, Melton LJ: Hip fractures in the elderly: a world-wide projection. Osteoporos Int. 1992, 2 (6): 285-289. 10.1007/BF01623184.View ArticlePubMedGoogle Scholar
- Suzuki T: Risk factors for osteoporosis in Asia. J Bone Miner Metab. 2001, 19 (3): 133-141. 10.1007/s007740170032.View ArticlePubMedGoogle Scholar
- Marshall D, Johnell O, Wedel H: Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. Bmj. 1996, 312 (7041): 1254-1259.View ArticlePubMedPubMed CentralGoogle Scholar
- Nguyen ND, Eisman JA, Center JR, Nguyen TV: Risk Factors for Fracture in Nonosteoporotic Men and Women. J Clin Endocrinol Metab. 2007, 92 (3): 955-962.View ArticlePubMedGoogle Scholar
- Anonymous: Osteoporosis prevention, diagnosis, and therapy. JAMA. 2001, 285 (6): 785-795. 10.1001/jama.285.6.785.View ArticleGoogle Scholar
- Kanis JA: Diagnosis of osteoporosis and assessment of fracture risk. Lancet. 2002, 359 (9321): 1929-1936. 10.1016/S0140-6736(02)08761-5.View ArticlePubMedGoogle Scholar
- Heaney RP, Abrams S, Dawson-Hughes B, Looker A, Marcus R, Matkovic V, Weaver C: Peak bone mass. Osteoporos Int. 2000, 11 (12): 985-1009.View ArticlePubMedGoogle Scholar
- Nguyen TV, Maynard LM, Towne B, Roche AF, Wisemandle W, Li J, Guo SS, Chumlea WC, Siervogel RM: Sex differences in bone mass acquisition during growth: the Fels Longitudinal Study. J Clin Densitom. 2001, 4 (2): 147-157. 10.1385/JCD:4:2:147.View ArticlePubMedGoogle Scholar
- Noon E, Singh S, Cuzick J, Spector TD, Williams FM, Frost ML, Howell A, Harvie M, Eastell R, Coleman RE: Significant differences in UK and US female bone density reference ranges. Osteoporos Int. 21 (11): 1871-1880.
- Mikuls TR, Saag KG, Curtis J, Bridges SL, Alarcon GS, Westfall AO, Lim SS, Smith EA, Jonas BL, Moreland LW: Prevalence of osteoporosis and osteopenia among African Americans with early rheumatoid arthritis: the impact of ethnic-specific normative data. J Natl Med Assoc. 2005, 97 (8): 1155-1160.PubMedPubMed CentralGoogle Scholar
- Hoiberg M, Nielsen TL, Wraae K, Abrahamsen B, Hagen C, Andersen M, Brixen K: Population-based reference values for bone mineral density in young men. Osteoporos Int. 2007, 18 (11): 1507-1514. 10.1007/s00198-007-0399-8.View ArticlePubMedGoogle Scholar
- R Development Core Team: R: A Language and Environment for Statistical Computing. 2008, Vienna, Austria: R Foundation for Statistical Computing, [http://www.R-project.org]2.7.0Google Scholar
- Looker AC, Wahner HW, Dunn WL, Calvo MS, Harris TB, Heyse SP, Johnston CC, Lindsay R: Updated data on proximal femur bone mineral levels of US adults. Osteoporos Int. 1998, 8 (5): 468-489. 10.1007/s001980050093.View ArticlePubMedGoogle Scholar
- Nam HS, Shin MH, Zmuda JM, Leung PC, Barrett-Connor E, Orwoll ES, Cauley JA: Race/ethnic differences in bone mineral densities in older men. Osteoporos Int. 2006, 21 (12): 2115-2123.View ArticleGoogle Scholar
- Nguyen HT, von Schoultz B, Pham DM, Nguyen DB, Le QH, Nguyen DV, Hirschberg AL, Nguyen TV: Peak bone mineral density in Vietnamese women. Arch Osteoporos. 2009, 4 (1-2): 9-15. 10.1007/s11657-009-0021-0.View ArticlePubMedPubMed CentralGoogle Scholar
- Marquez MA, Melton LJ, Muhs JM, Crowson CS, Tosomeen A, O'Connor MK, O'Fallon WM, Riggs BL: Bone density in an immigrant population from Southeast Asia. Osteoporos Int. 2001, 12 (7): 595-604. 10.1007/s001980170083.View ArticlePubMedGoogle Scholar
- Limpaphayom KK, Taechakraichana N, Jaisamrarn U, Bunyavejchevin S, Chaikittisilpa S, Poshyachinda M, Taechamahachai C, Havanond P, Onthuam Y, Lumbiganon P: Prevalence of osteopenia and osteoporosis in Thai women. Menopause. 2001, 8 (1): 65-69. 10.1097/00042192-200101000-00011.View ArticlePubMedGoogle Scholar
- Looker AC, Orwoll ES, Johnston CC, Lindsay RL, Wahner HW, Dunn WL, Calvo MS, Harris TB, Heyse SP: Prevalence of low femoral bone density in older U.S. adults from NHANES III. J Bone Miner Res. 1997, 12 (11): 1761-1768. 10.1359/jbmr.1918.104.22.1681.View ArticlePubMedGoogle Scholar
- Nguyen TV, Center JR, Eisman JA: Osteoporosis in elderly men and women: effects of dietary calcium, physical activity, and body mass index. J Bone Miner Res. 2000, 15 (2): 322-331.View ArticlePubMedGoogle Scholar
- Lynn HS, Lau EM, Au B, Leung PC: Bone mineral density reference norms for Hong Kong Chinese. Osteoporos Int. 2005, 16 (12): 1663-1668. 10.1007/s00198-005-1899-z.View ArticlePubMedGoogle Scholar
- Cummings SR, Nevitt MC, Browner WS, Stone K, Fox KM, Ensrud KE, Cauley J, Black D, Vogt TM: Risk factors for hip fracture in white women. Study of Osteoporotic Fractures Research Group. N Engl J Med. 1995, 332 (12): 767-773. 10.1056/NEJM199503233321202.View ArticlePubMedGoogle Scholar
- Nguyen ND, Pongchaiyakul C, Center JR, Eisman JA, Nguyen TV: Identification of high-risk individuals for hip fracture: a 14-year prospective study. J Bone Miner Res. 2005, 20 (11): 1921-1928. 10.1359/JBMR.050520.View ArticlePubMedGoogle Scholar
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