Prevalence of Osteoporosis by Educational Level in a Cohort of Postmenopausal Women

To evaluate whether the prevalence of osteoporosis and related risk factors might be influenced by the level of education, as has been demonstrated for many other chronic diseases, 6160 postmenopausal women at their first densitometric referral were interviewed about reproductive variables, past and current use of estrogens, prevalence of chronic diseases, and lifestyle factors such as calcium intake, physical activity, smoking and overweight. This sample was stratified by years of formal education. Densitometric evaluation was performed by dual-energy X-ray absorptiometry. Age at menarche, past exposure to oral contraceptives, use of hormone replacement therapy, prevalence of chronic diseases, physical activity, overweight and smoking showed significant trends according to the years of education. The prevalence of osteoporosis showed an inverse relationship with level of education, ranging from 18.3% for the most educated to 27.8% for the least educated women. Multiple logistic regression analysis demonstrated a predictive role toward osteoporosis by age, age at menarche and menopause, hormone replacement therapy, calcium intake, physical activity and body mass index. Using the lowest educational level as reference category, increases in educational status were associated with a significantly reduced risk for osteoporosis (OR = 0.76, 95% CI 0.65–0.90 for 6–8 years of schooling; OR = 0.68, 95% CI 0.57–0.82 for 9 years or more). This study shows differences in the prevalence of osteoporosis among educational classes and the protective role played by increases in formal education. If these results are confirmed in other population studies, public health intervention programs will have to consider the socioeconomic and cultural background of the population strata that run a greater risk of osteoporosis. Received: 7 March 1998 / Accepted: 9 July 1998     

Prevalence of Osteoporosis and Related Risk Factors in UK Women in the Seventh Decade: Osteoporosis Case Finding by Clinical Referral Criteria or Predictive Model?

The objectives of the study were: to determine the prevalence of osteoporosis in women in their seventh decade; to determine the number of women who conformed to at least one of the current East Yorkshire Clinical Referral Criteria for Osteoporosis; and to determine the sensitivity and specificity of these referral criteria in the diagnosis of osteoporosis and to compare this with the receiver operating characteristic (ROC) curve of a logistic regression model incorporating variables that were significantly associated with the risk of osteoporosis. An observational study was carried out at the Centre for Metabolic Bone Disease, Hull Royal Infirmary, on women in their seventh decade from three general practices. Densitometric assessment of lumbar spine and femoral neck was carried out using dual-energy X-ray absorptiometry (DXA) and a detailed medical history taken. The main outcome measures were prevalence of osteoporosis in women in their seventh decade and efficacy of agreed clinical referral criteria at osteoporosis case finding. Of 823 Caucasian women who underwent DXA, 24% proved to have osteoporosis at hip, spine or both according to WHO criteria. A further 49% had osteopenia detected at hip, spine or both. At least one of the referral criteria was present in 47% of the women assessed. The sensitivity of the clinical referral criteria for detection of osteoporosis was 58% with a corresponding specificity of 60%. This point lies below the ROC curve (area under fitted curve, A _z= 0.73) of a logistic regression model incorporating weight, age at menopause and current use of hormone replacement therapy. In conclusion, osteoporosis according to WHO criteria was found in almost 25% of women in their seventh decade. A simple logistic regression model provided a more sensitive method of osteoporosis case finding than the selective screening component of the clinical referral criteria employed in our practice. Received: 23 December 1997 / Revised: 1 April 1998     

The Prevalence of Osteoporosis in Nursing Home Residents

This study describes the prevalence of osteoporosis in a statewide sample of nursing home residents. Composite forearm bone mineral density (BMD) (including the distal radius and the distal ulna) of 1475 residents aged 65 years and older from 34 randomly selected, stratified nursing homes was assessed. BMD was expressed with reference to World Health Organization diagnostic criteria. Trends with age, gender and race were consistent with other populations. However, prevalence estimates were higher than community-based age-specific rates. The prevalence of osteoporosis for white female residents increased from 63.5% for women aged 65–74 years to 85.8% for women over 85 years of age. Only 3% had composite forearm BMD within 1 standard deviation of the young adult mean. The significance of the high prevalence of low BMD in nursing home residents is the increased fracture risk it may confer. In community cohorts of white women, the risk of hip fracture increases approximately 50% for every 1 standard deviation decrease in bone mass. However, the degree to which BMD contributes to fracture risk in this population has not been well established. Received: 26 February 1998 / Accepted: 22 May 1998     

A Prospective Evaluation of the Awareness, Knowledge, Risk Factors and Current Treatment of Osteoporosis in a Cohort of Elderly Subjects

This was a prospective cohort study of 145 seniors attending a senior’s clinic and social day program using a self-administered questionnaire. Its objective was to evaluate the awareness, knowledge, risk factors and current treatment of osteoporosis in our two patient groups. A secondary objective was to determine differences between the two cohorts, and between men and women. Participants included 39 men and 106 women, with an average age of 76 years. Of these, 89% were aware of osteoporosis and 61% gave the correct definition. Awareness and accurate definition were less in men compared with women (p<0.01, and p<0.05) and clinic compared to day program groups (p<0.01). Only 54% of men knew osteoporosis could affect them. Television, newspapers and friends were identified as the main source of information. Physicians ranked as fifth as a source of information. In all, 84% knew diet was important. Prevalence of risk factors other than age were <  20%, except for senescence (38%) and alcohol use (40%). Utilization of specific therapies for osteoporosis was only 18% overall with a rate of 3% in men (p<0.01). In women, 50% and were taking calcium supplements compared with 15% men (p<0.001) and for multivitamins the figures were 57% and 33% respectively (p<0.05). These results show a high level of awareness and correct definition of osteoporosis in this cohort of patients. Specific therapy for prevention or treatment of osteoporosis was inappropriately low in the face of high risk. This study highlights the care gap in osteoporosis in seniors and the need for increased physician involvement in patient education and treatment. Proactive treatment requests from patients need to be encouraged, especially with the future demographic shift. Received: 3 August 2000 / Accepted: 20 December 2000     

Prevalence of Low Serum Estradiol Levels in Male Osteoporosis

Estrogen deficiency has recently been implicated in the pathogenesis of male osteoporosis. We therefore investigated estrogen and androgen status in 63 men admitted to our clinic with the diagnosis of osteoporosis over a period of 2 years. The diagnosis was based on the presence of either low-energy fractures of the spine or a BMD T-score < −2.5 in the spine or hip. Thirty-six patients had one or more low-energy fractures of the spine, 47 displayed a lumbar BMD T-score <−2.5 and 39 a hip BMD T-score <−2.5. Based on the history, clinical examination and extensive biochemical testing, 42 of the 63 were classified as having primary osteoporosis. Of these 42 patients, 14 (33%) exhibited serum estradiol levels below the normal range (p<0.001). Two of the patients (3%) displayed male hypogonadism with serum testosterone below the normal range. In 37 of the 63 patients a complete estrogen status was available. In this group 26 were classified as having primary osteoporosis. Of these, no single case of male hypogonadism was demonstrable, while 10 (38%) exhibited undetectable serum estradiol levels (<48 pM). Thus, estrogen deficiency is much more prevalent than androgen deficiency in primary male osteoporosis. Future screening tests for osteoporosis in men should therefore include assessment of serum estradiol. Received: 2 September 1999 / Accepted: 27 December 1999     

An Update on the Diagnosis and Assessment of Osteoporosis with Densitometry

In 1994 the WHO proposed guidelines for the diagnosis of osteoporosis based on measurement of bone mineral density. They have been widely used for epidemiological studies, clinical research and for treatment strategies. Despite the widespread acceptance of the diagnostic criteria, several problems remain with their use. Uncertainties concern the optimal site for assessment, thresholds for men and diagnostic inaccuracies at different sites. In addition, the development of many new technologies to assess the amount or quality of bone poses problems in placing these new tools within a diagnostic and assessment setting. This review considers the recent literature that has highlighted the strengths and weaknesses of diagnostic thresholds and their use in the assessment of fracture risk, and makes recommendations for actions to resolve these difficulties.     

A Simple Tool to Identify Asian Women at Increased Risk of Osteoporosis

Patients with low bone mineral density (BMD) have a high risk of future fractures, and should be actively considered for treatment to reduce their risk. However, BMD measurements are not widely available in some communities, because of cost and lack of equipment. Simple questionnaires have been designed to help target high-risk women for BMD measurements, thereby avoiding the cost of measuring women at low risk. However, such tools have previously focused on evaluation of non-Asian women. We collected information about numerous risk factors from postmenopausal Asian women in eight countries in Asia using questionnaires, and evaluated the ability of these risk factors to identify women with osteoporosis as defined by femoral neck BMD T-scores < or =-2.5. Multiple variable regression analysis and item reduction yielded a final tool based on only age and body weight. This risk index had a sensitivity of 91% and specificity of 45%, with an area under the curve of 0.79. Previously published risk indices based on larger numbers of variables performed similarly well in this Asian population. Large differences in risk were identified using our index to create three categories: 61% of the high-risk women had osteoporosis, compared with only 15% and 3% of the intermediate- and low-risk women, respectively. The low-risk group represented 40% of all women, for whom BMD measurements are probably not needed unless important risk factors, such as prior nonviolent fracture or corticosteroid use, are present. An existing population-based sample of postmenopausal Japanese women was used to validate our index. In this sample of Japanese women the sensitivity was 98% and specificity was 29%; the low-risk category, for whom BMD is probably unnecessary, represented 25% of all women. We conclude that our index performed well for classifying the risk of osteoporosis among postmenopausal Asian women and applying it would result in more prudent use of BMD technology.     

Prevalence of Low Forearm Bone Density in a Bulgarian Female Referral Population

Osteoporosis is one of the leading causes of morbidity and mortality in the elderly population. The prevalence of osteoporosis and osteopenia in Bulgaria is unknown except for preliminary data. We tried to determine retrospectively the prevalence of osteopenia and osteoporosis in a referral female population; 8869 consecutive Bulgarian women (age 20–87 years) were included. Information about known risk factors for low bone mass was recorded. Forearm bone mineral density was measured at the distal radius+ulna site by single X-ray absorptiometry (DTX-100 device). T- and Z-scores were calculated from Bulgarian reference data. In the total study sample 15.16% had osteoporosis and 28.8% had osteopenia. In women aged 50 years and over the corresponding prevalence was 20.45% and 32.5%. Age-adjusted prevalence of osteoporosis and osteopenia started rising after age 55 years. Corresponding mean T-scores also declined and the osteoporosis threshold of –2.5 SD was reached in the age group 70–74 years. Z-scores in all age groups were between 0 and –0.6, thus excluding major selection bias. This is the first large-scale Bulgarian study designed to look for the prevalence of osteopenia and osteoporosis in a referral population. It may become the starting point for future screening and intervention strategies in our country. Received: 30 March 2001 / Accepted: 3 August 2001     

Risk Factors for Proximal Femur Osteoporosis in Men Aged 50 Years or Older

The objective of this study was to analyze the risk factors for osteoporosis in 325 volunteer men aged 50 years or older. Participants completed questionnaires including demographic and social information, personal medical history, maternal and paternal history of bone fracture after the age of 50 years, smoking habit, alcoholic beverage consumption, calcium intake and present and past physical activities. The individuals were submitted to bone densitometry of the femoral neck and to anthropometric measurements. The χ² test and multiple logistic regression were used to evaluate the association between the independent variables and the presence of osteoporosis. We concluded that the independent risk factors for osteoporosis were body mass index, present practice of physical/leisure activity (last 12 months), age, present and past smoking habit, no current thiazide diuretic use, white race and maternal history of fracture after the age of 50 years. Received: 16 January 2001 / Accepted: 10 May 2001     

Effects of Body Size and Skeletal Site on the Estimated Prevalence of Osteoporosis in Women and Men

There is growing awareness that therapeutic decision-making may be confounded by discrepancies in the prevalence of osteoporosis by World Health Organization criteria when bone density is measured at different skeletal sites. To explore this issue, we measured bone density at a variety of skeletal sites in a population-based sample of 348 men (age 22–90 years) and 351 women (age 21–93 years). Men had greater areal bone mineral density (BMD, g/cm²) than women at almost every subregion on total body, anteroposterior (AP) and lateral lumbar spine, proximal femur and forearm scans by dual-energy X-ray absorptiometry. However, adjustment for height or, where possible, calculation of bone mineral apparent density (BMAD, g/cm³) reduced or eliminated these differences. In addition, three different patterns of change in bone density over life were observed at the various skeletal sites as judged from cross-sectional data: no apparent age-related bone loss (e.g., AP spine BMD in men); linear bone loss over life in both sexes beginning in young adulthood (e.g., femoral neck BMD); and bone loss beginning around the time of menopause or a comparable age in men (e.g., midradius BMD). The various adjustments for bone size and the different patterns of age-related change in bone density had profound effects on the estimated prevalence of osteoporosis by World Health Organization criteria, which ranged from 2% to 45% among postmenopausal women and from 0 to 36% among men 50 years of age and older depending upon the skeletal parameter that was assessed. These observations emphasize the difficulties involved in attempts to standardize BMD scores and definitions of osteoporosis for clinical use. Received: 3 February 2000 / Accepted: 2 June 2000     

Challenges for Model-Based Economic Evaluations of Postmenopausal Osteoporosis Interventions

Assessing the cost-effectiveness of long-term treatment for osteoporosis requires use of mathematical models to estimate health effects and costs for competing interventions. The primary motivations for model-based analyses include the lack of long-term clinical trial outcome data and the lack of data comparing all relevant treatments within randomized clinical trials. We report on specific modeling challenges that arose in the development of a model of the natural history of postmenopausal osteoporosis that is suitable for assessing the cost-effectiveness of osteoporosis interventions among various population subgroups in diverse countries. These include choice of modeling changes in bone mineral density (BMD) or in fracture rate, definition of health states, modeling mortality and costs of long-term care following fracture, incorporation of health utility, and model validation. This report should facilitate future postmenopausal osteoporosis model development and provide insight for decision-makers who must evaluate model-based economic analyses of postmenopausal osteoporosis interventions. Received: 14 November 2000 / Accepted: 9 April 2001     

Unbalanced Diet to Lower Serum Cholesterol Level is a Risk Factor for Postmenopausal Osteoporosis and Distal Forearm Fracture

The purpose of this study was to assess whether dietary changes aimed at reducing serum cholesterol can increase the risk of osteoporosis (OP) and fracture. The study group consisted of 311 postmenopausal women with high serum cholesterol levels and following a diet low in dairy products (calcium intake estimated at less than 300 mg/day) for 27.3 ± 29.1 months. This sample was compared with a case–control group of 622 healthy postmenopausal women paired for age and age at menopause and with a calcium intake estimated at more than 1 g/day. Bone mineral density was measured at the lumbar spine by dual-energy X-ray absorptiometry. Prevalence of OP was significantly higher in women with a low dairy calcium intake (42.1% vs 22.3%; p<0.0001), as was the number of Colles” fractures occurring after menopause (4.5% vs 1.6%; p = 0.008). Multiple logistic regression analyses demonstrated that a diet low in dairy calcium was a risk factor for OP (OR = 2.52, 95% CI 1.84–3.45) and Colles” fracture (OR = 2.72, 95% CI 1.18–6.26). In the low dairy calcium group, diet duration significantly influenced the risk of OP (OR = 1.13, 95% CI 1.01–1.25 for 1 year of diet). No differences in further risk factors for coronary heart disease were found between the groups, but the proportion of women physically active was lower in the women with high serum cholesterol levels. A diet that severely limits calcium intake from dairy products in an attempt to correct raised serum cholesterol levels is a risk factor for postmenopausal OP and Colles” fracture. Dietary intervention methods to lower serum cholesterol in postmenopausal women should maintain an adequate calcium intake by providing calcium from low-fat dairy products or calcium supplements. Received: 16 May 2000 / Accepted: 18 November 2000     

The Prevalence of Low Bone Mineral Density in Dutch Perimenopausal Women: The Eindhoven Perimenopausal Osteoporosis Study

The aim of this study was to estimate the prevalence of osteopenia and osteoporosis in perimenopausal women, and to assess determinants of low bone mineral density (BMD). All women born between 1941 and 1947 (aged between 46 and 54 years) living in the city of Eindhoven were invited to participate in the study; 5896 white Dutch women, representing 73% of the total number of Dutch women in this age group, were studied. Of these, 24% were using estrogen preparations and 19% had undergone hysterectomy, with or without oophorectomy. All women were interviewed and bone mineral density (BMD) of the lumbar spine was measured by dual-energy X-ray absorptiometry (DXA). Osteopenia and osteoporosis were defined according to the criteria proposed by a WHO working group. In the population studied the prevalence of osteopenia and osteoporosis was 27.3% and 4.1%, respectively. With progression from premenopause to menopause, the prevalence of osteoporosis increased from 0.4% to 12.7%, and that of osteopenia from 14.5% to 42.8%. An increased risk for low BMD (osteopenia and osteoporosis) was associated with age, menopausal status and smoking, while alcohol consumption, high body mass index (BMI) and use of estrogens had a protective effect. This study of a large population-based cohort of perimenopausal women revealed a high prevalence of low bone mass and, therefore, a higher risk for osteoporotic fractures. The data further suggest that, when issues on the long-term efficacy and safety of preventive treatments are resolved, it may be possible to identify women at higher risk who are most likely to benefit from screening strategies. Received: 2 June 1997 / Accepted: 21 January 1998     

Risk Factors for Osteoporosis Related to their Outcome: Fractures

The aim of the study was to determine to what extent easy obtainable bone mineral density (BMD)-related risk factors are associated with the occurrence of fractures and to what extent changes in these determinants during a patient”s lifetime are relevant. A cross-sectional population-based study was carried out on 4725 postmenopausal women, 50–80 years of age, registered with 23 general practitioners (GPs). The women were questioned and examined. BMD of the lumbar spine was measured using dual-energy X-ray absorptiometry (QDR-1000, Hologic). We analyzed the total population as well as a random sample of 1155 women for whom additional data were collected on recalled weight at age 20–30 years and on self-reported height. Body mass index (BMI) was estimated in two ways: (1) objective BMI [= measured weight/(measured height)²]; (2) recalled BMI [= recalled body weight at age 20–30/(self-reported height)²]. Fractures (dependent variable) were categorized as: (1) fractures sustained during the patient”s lifetime; (2) fractures after the age of 50 years; (3) fractures that had occurred during the 5 years before BMD measurement took place. Multivariate stepwise backward and forward logistic regression analyses, using fractures as the dependent variable, were performed with all discrete and non-discrete variables (divided into quartiles). The relationship between the presence of osteoporosis and the presence of fractures was related to the changes in BMI (recalled BMI versus objective BMI). More advanced age, positive family history of fractures and BMD had a positive association with the presence of fractures. Low recalled BMI was a statistically significant predictor of “fractures during the patient”s lifetime” and of “fractures after the age of 50”. Hysterectomy was associated with a higher prevalence of “fractures during the patient”s lifetime”. Perimenopausal complaints in the history seemed to be associated with a lower prevalence of “fractures after the age of 50”. Moderate (and heavy) occupational exercise in the past were associated with the presence of fractures “after the age of 50” and “fractures during the past 5 years”. Sporting activities in the past showed a slightly positive relationship with the presence of “fractures during the patient”s lifetime” and “fractures after the age of 50”. Bivariate analysis revealed that current smokers had not sustained significantly more fractures than current nonsmokers, but within the subgroup of current smokers, the prevalence of fractures was significantly higher among those women who had smoked for more than 35 years. Smoking was statistically significantly associated with early menopause. Early menopause was not statistically significantly related to the presence of osteoporosis but appeared to be statistically significantly associated with the prevalence of fractures in the age categories over 65 years. The absolute risks of sustaining one or more fractures ranged from 3% to 44%. Women in the lowest quartile of recalled and objective BMI were often osteoporotic (40%). In this category, women with normal BMD had a statistically significant lower fracture risk than osteoporotic women. Women with a possibly decreased BMI were most often osteoporotic and had sustained more “fractures during the past 5 years” than expected. Women who had (probably) always been obese were less often osteoporotic and had a much lower fracture risk. It is concluded that decreased BMI is associated with a higher risk of developing fractures at an older age. Prevention of fractures should include fall prevention. In addition, in lean women treatment of low BMD is important. Received: April 2000 / Accepted: January 2001     

Women’s Willingness to Pay Out-of-Pocket for Drug Treatment for Osteoporosis Before and After the Enactment of Regulations Providing Public Funding: Evidence from a Natural Experiment in Israel

This study examines women’s willingness to pay (WTP) for drug treatment for osteoporosis before and after the enactment of regulations approving public funding for the drugs and for a hypothetical more effective but not funded drug. One hundred and nine postmenopausal women recruited sequentially from a large bone metabolism outpatient clinic in central Israel were asked by telephone interview to report their maximum WTP out-of-pocket for a drug that would reduce the risk of hip fracture by 50% in four hypothetical cases varying by the level of risk described. Additionally, after the regulations, responses were elicited also for a hypothetical more effective drug. Information regarding participants’ sociodemographic and health characteristics, as well as their knowledge of osteoporosis, was also collected. Women would pay considerable sums of money (between 85% to 124% of the price of the drugs) for osteoporosis treatment and these sums increase significantly as the risk of suffering a hip fracture increases. After the enactment of the regulations, women were still willing to pay 54% to 100% of the price of the drugs out-of-pocket. Increased WTP after the regulations was associated with increased ability to pay and to lower levels of knowledge of the disease. After the enactment, participants’ WTP for a more effective drug was no different from their WTP for a less effective drug. WTP measures show relative stability over time. The dissemination of information regarding policy or regulatory changes should be encouraged in order to ensure rational decision-making processes. Received: 9 May 2001 / Accepted: 20 August 2001     

Screening for Osteoporosis Using Easily Obtainable Biometrical Data: Diagnostic Accuracy of Measured, Self-Reported and Recalled BMI, and Related Costs of Bone Mineral Density Measurements

The aims of the present study were: to determine the diagnostic accuracy of objectively measured, self-reported and recalled body mass index (BMI) for osteoporosis and osteopenia; to determine the diagnostic costs, in terms of bone mineral density (BMD) measurements, per osteoporotic or osteopenic patient detected, using different BMI tests; and to determine the extent to which the results can be used within the framework of the current screening program for breast cancer in The Netherlands. Within the framework of a cross-sectional study on the prevalence of osteoporosis in the south of The Netherlands, 1155 postmenopausal women aged 50–80 years were asked for their present height and their weight at age 20–30 years. Subsequently their actual weight, height and BMD of the lumbar spine (DXA) were measured. The BMD cutoff was 0.800 g/cm² for osteoporosis and 0.970 g/cm² for low BMD (osteoporosis + osteopenia). After receiver operating characteristic analysis, age was cut off at 60 years and BMI at 27 kg/m². Diagnostic accuracies of objectively measured, self-reported and recalled BMI were evaluated using predictive values (PV) and odds ratios. The resulting ‘true positive’ and ‘false positive’ rates were used to calculate diagnostic costs (i.e., DXA) for each osteoporotic patient or low-BMD patient detected. The prevalence of osteoporosis in the study population was 25%, that of low BMD 65%. Only the age–BMI tests ‘age ≥60, BMI ≤27’ showed PVs for osteoporosis (31–41%) and for low BMD (71–81%) that were higher than the prior probabilities for these conditions. Related odds ratios were 2.14–3.18 (osteoporosis) and 1.87–3.04 (low BMD). The objective BMI test detected 50% of the osteoporotic patients. Using the self-reported BMI test and the recalled BMI test, detection rates increased to 55% and 69%, respectively. Concomitant costs per osteoporotic patient detected rose by 24%. Detection of patients with a low BMD increased from 38% for objective BMI and 42% for self-reported BMI to 60% for recalled BMI. Related costs increased by 11%. If all women over 50 years of age (irrespective of their BMI) were to be referred for BMD measurement, costs per osteoporotic patient or low-BMD patient detected would be 304 and 116 Euros, respectively. Only in women over 60 years does a BMI below 27 kg/m2 provide a better prediction of the presence of osteoporosis or low BMD than could be expected solely on the basis of the relevant prevalences in postmenopausal women aged 50–80 years. If the use of BMI for the detection of osteoporotic or low-BMD patients is still considered, measuring weight and just asking for a person’s height will do. Although age and BMI are the strongest risk factors for osteoporosis, they are of less significance when used for screening the population for osteoporosis. More research is needed before age and BMI can be included in any screening program. As regards practical considerations alone, measurements of BMD could be implemented within the screening program for breast cancer. Received: 29 October 1998 / Accepted: 17 August 1999     

The Contribution of Vitamin D Receptor Gene Polymorphisms in Osteoporosis and Familial Osteoporosis

It is well established that genetic factors play a major role in the pathogenesis of osteoporosis. Previous reports have suggested that vitamin D receptor (VDR) gene polymorphisms, particularly the BB, tt and AA genotypes, are associated with low bone mineral density (BMD). If these VDR genotypes are indeed an important determinant of BMD, then a population of related osteoporotic individuals (mother–daughter or sister–sister relationship) should have a high prevalence of the BB, tt or AA VDR genotypes. To test this hypothesis we determined the VDR genotypes in 26 osteoporotic persons (age 44.3 ± 12.7 years, mean ± SD) belonging to 12 families. Furthermore, for comparison with existing studies, we applied the VDR genotype analysis in a population of 53 unrelated healthy subjects (age 45.2 ± 9.8 years, mean ± SD) and 59 unrelated osteoporotic subjects (age 52.1 ± 9.0 years, mean ± SD). The menopausal status of the healthy and osteoporotic populations was pre-, peri- and mostly early postmenopausal. The proportions of the three genotypes, BB, tt and AA, within the 12 osteoporotic families were 15%, 12% and 27%, respectively, whereas the proportions of the other three homozygous genotypes (bb, TT, aa) were 50%, 50% and 23%. The distribution of the BB, tt and AA genotypes in the normal population was 21%, 21% and 36%, respectively (vs bb, TT, aa: 36%, 38%, 21%), whereas in the osteoporotic population it was 24%, 20% and 34% (vs bb, TT, aa: 27%, 34%, 14%). Our data indicate that there is not a statistically significant (p>0.05) difference in the VDR genotype frequencies within osteoporotic families as compared with the same genotypes in the population of unrelated normal or osteoporotic subjects. VDR genotype analysis showed no significant relation between VDR polymorphisms and BMD or Z-score values at the lumbar spine. This study demonstrates the lack of a heritability pattern between the BB, tt and AA genotypes and low BMD. Received: 29 October 1998 / Accepted: 19 April 1999     

Direct Disclosure of Bone Density Results to Patients: Effect on Knowledge of Osteoporosis Risk and Anxiety Level

If bone mineral density (BMD) screening is to achieve the aim of preventing the complications of osteoporosis, women with low BMD measurements must learn that they are at risk, and women at risk must know about and be willing to adopt and persist with measures that can prevent osteoporosis. In this paper we present the results of a randomized controlled trial designed to examine whether disclosing the results of a BMD scan directly to women, as well as through their general practitioners (GPs), improves their knowledge of their bone density results without adverse psychological sequelae. Direct disclosure resulted in 19% (59% vs 40%; 95% CI for difference in proportions: 9.8% to 27.8%) more women being aware of their BMD status at the spine and 22% (58% vs 36%; 95% CI for difference: 12.2% to 29.8%) at the hip. These differences were observed irrespective of risk status. There was no significant difference in anxiety levels between the randomized groups. We conclude, therefore, that direct disclosure of BMD results to women, as well as to their GPs, leads to increased knowledge of BMD status without increasing anxiety, and that BMD measurement services should consider informing women routinely of their results directly as well as through their GPs. Received: 22 May 1997 / Revised: 4 March 1998     

Estimation of the Prevalence of Low Bone Density in Canadian Women and Men Using a Population-Specific DXA Reference Standard: The Canadian Multicentre Osteoporosis Study (CaMos)

The Canadian Multicentre Osteoporosis Study (CaMos) is a prospective cohort study which will measure the incidence and prevalence of osteoporosis and fractures, and the effect of putative risk factors, in a random sample of 10 061 women and men aged ≥25 years recruited in approximately equal numbers in nine centers across Canada. In this paper we report the results of studies to establish peak bone mass (PBM) which would be appropriate reference data for use in Canada. These reference data are used to estimate the prevalence of osteoporosis and osteopenia in Canadian women and men aged ≥50 years. Participants were recruited via randomly selected household telephone listings. Bone mineral density (BMD) of the lumbar spine and femoral neck were measured by dual-energy X-ray absorptiometry using Hologic QDR 1000 or 2000 or Lunar DPX densitometers. BMD results for lumbar spine and femoral neck were converted to a Hologic base. BMD of the lumbar spine in 578 women and 467 men was constant to age 39 years giving a PBM of 1.042 ± 0.121 g/cm² for women and 1.058 ± 0.127 g/cm² for men. BMD at the femoral neck declined from age 29 years. The mean femoral neck BMD between 25 and 29 years was taken as PBM and was found to be 0.857 ± 0.125 g/cm² for women and 0.910 ± 0.125 g/cm² for men. Prevalence of osteoporosis, as defined by WHO criteria, in Canadian women aged ≥50 years was 12.1% at the lumbar spine and 7.9% at the femoral neck with a combined prevalence of 15.8%. In men it was 2.9% at the lumbar spine and 4.8% at the femoral neck with a combined prevalence of 6.6%. Received: 23 April 1999 / Accepted: 14 April 2000