Prevalence of osteoporosis and incidence of hip fracture in women - secular trends over 30 years
© Ahlborg et al; licensee BioMed Central Ltd. 2010
Received: 6 May 2009
Accepted: 11 March 2010
Published: 11 March 2010
The number of hip fractures during recent decades has been reported to be increasing, partly because of an increasing proportion of elderly women in the society. However, whether changes in hip fracture annual incidence in women are attributable to secular changes in the prevalence of osteoporosis is unclear.
Bone mineral density was evaluated by single-photon absorptiometry at the distal radius in 456 women aged 50 years or above and living in the same city. The measurements were obtained by the same densitometer during three separate time periods: 1970-74 (n = 106), 1987-93 (n = 175) and 1998-1999 (n = 178), and the age-adjusted prevalence of osteoporosis in these three cohorts was calculated. Additionally, all hip fractures sustained in the target population of women aged 50 years or above between 1967 and 2001 were registered, whereupon the crude and the age-adjusted annual incidence of hip fractures were calculated.
There was no significant difference in the age-adjusted prevalence of osteoporosis when the three cohorts were compared (P = 1.00). The crude annual incidence (per 10,000 women) of hip fracture in the target population increased by 110% from 40 in 1967 to 84 in 2001. The overall trend in the crude incidence between 1967 and 2001 was increasing (1.58 per 10,000 women per year; 95 percent confidence interval, 1.17 to 1.99), whereas the age-adjusted incidence was stable over the same period (0.22 per 10,000 women per year; 95 percent confidence interval, -0.16 to 0.60).
The increased number of hip fracture in elderly women is more likely to be attributable to demographic changes in the population than to secular increase in the prevalence of osteoporosis.
Hip fracture represents the hallmark of the fracture epidemic among elderly people, because of the associated mortality, morbidity, and health care costs [1, 2]. The annual incidence of hip fractures has been reported to be on the increase worldwide during the last five decades, [3–12] so that the current total number of women sustaining a hip fracture is estimated at one million annually . Although the increase in hip fractures at least partly could be attributed to demographic changes, i.e. an increasing proportion of elderly women in the population, the specific reason for the reported concomitant increase in the age-adjusted annual incidence of hip fracture during the same time period [3, 7, 9, 14] remains unresolved. For example in Finland, the age-adjusted annual incidence of hip fractures in women aged 50 years or above increased by 60% between 1970 and 1997 , and has since been shown to level off , in agreement with reports from other regions showing a stabilising pattern [5, 14–17]. However, the specific reason for the observed secular patterns in hip fracture incidence during the last decades has not been thoroughly investigated.
In addition to the obvious paramount role of advancing age on the occurrence of hip fractures, both skeletal and non-skeletal risk factors have been identified. According to the conventional prevailing view, low bone mineral density is considered to be the major risk factor for hip fractures [18–20]. The risk of hip fracture more than doubles for each SD lower bone mineral density, and about half of the elderly women with a hip fracture have osteoporosis, i.e. a bone mineral density that is 2.5 SD below the mean of the young population . Although the prevalence of osteoporosis has been characterised in several populations [22–26], to our knowledge, no study has investigated long-term secular patterns in the prevalence of osteoporosis, or addressed the question whether the increased incidence of hip fracture during the last few decades could be attributable not only to demographic changes in the population but also to an increased prevalence of osteoporosis.
This study was therefore designed to characterise secular patterns in the prevalence of osteoporosis and the incidence of hip fracture within the same female target population during the last three decades.
Demographic data concerning the target population were drawn from the Yearbook of Local Statistics, which includes the annual number of inhabitants in the city of Malmo, Sweden, by gender and one-year age groups. In 1967, the female population in Malmo was 134,586. During the 34-year period 1967 to 2001, the female population increased by 0.6 percent, whereas the percentage of women aged 50 years or above increased from 35 to 39 percent, and the number of women aged 85 years or above increased from 1,499 in 1967 to 5,646 in 2001.
Study group for bone mineral density measures
Age distribution of the study participants subjected to bone mass measurements in three cohorts of women measured in 1970-74, 1987-93 and 1998-99.
Age class (years)
n = 106
n = 175
n = 178
Characteristics of the study participants subjected to bone mass measurements in three cohorts of women measured in 1970-74, 1987-93 and 1998-99.a
n = 106
n = 175
n = 178
Measurement of bone mineral density
Bone mineral density (mg/cm2) of the forearm was measured at a site 6 cm proximally of the ulnar styloid process by single-photon absorptiometry according to a protocol described in detail previously . The precision of the method, measured as the week-to-week variation over one year, estimated by standardized phantom data, amounted to slightly less than 1% (coefficient of variation), which corresponds to the stochastic nature of the radiation and also to the geometrical uncertainty in the positioning of the phantom. The reproducibility in vivo, determined by duplicate measurements in 20 individuals measured on two occasions weeks or months apart, amounted to 4% (coefficient of variation). The calculation of reproducibility in vivo includes the assumption that the bone mineral density is unchanged between the two separate measurements. In this study the same densitometer was used throughout the study, and during the follow-up repeated measurements of a standardized phantom were undertaken every second week. The precision of the method measured as year-to-year variation during the follow-up, estimated by the phantom data, was for bone mineral density 1.8% (coefficient of variation). To determine whether there was any long-term drift of the densitometer during the follow-up, all phantom data were analyzed using a linear regression equation. This analysis showed no significant long-term drift of the equipment 0.1%/year (R2<1%; 95% CI -0.2 to 0.4) . Because of the replacement of the radiation source in 1980, all measurements thereafter were adjusted with the use of the data from the phantom.
Definition of osteoporosis
The WHO cut-off values for the definition of osteoporosis were used . The cut-off values used in this study were derived from a non-population-based sample of 38 healthy women aged 20 to 39 years, measured at the forearm with the same densitometry equipment as in the present study in 1971. The mean (SD) bone mineral density at the distal measurement site in this young reference population was 542 (76) mg/cm2. Osteoporosis was defined as a bone mineral density value less than 2.5 SD below the mean of the young reference population.
Registration of hip fractures
All fractures of the proximal femur (hip fractures), that occurred in the target population of women aged 50 years or older, in the time between 1967-68, 1974-75, 1980-85, 1987-95[8, 36] and 1999-2001 , were identified at the Department of Diagnostic Radiology and Department of Orthopaedics. Malmo University Hospital has the only emergency department in Malmo, and it has been estimated that more than 97% of all patients with a fracture sustained in Malmo are seen in its trauma unit Subjects who had hip fractures sustained outside of Malmo were subsequently referred to the Orthopaedic Department for a follow-up visit at which the fracture was classified to ensure complete case ascertainment. Non-residents who were examined at the hospital were identified and excluded. The same fracture registration method was used throughout the observation period [8, 34–36].
To compare the bone mineral density in the three different cohorts the analysis of variance was used as well as the analysis of covariance with adjustment for age at examination. The prevalence of osteoporosis in the three cohorts were compared with each other by the chi-squared test as well as with logistic regression analysis, with adjustment for age at examination by direct standardisation. As the age-adjusted prevalence of osteoporosis was found not to differ between the three cohorts, all the data were merged and the age-specific prevalence of osteoporosis was calculated within five-year age classes in women aged 50 years or above. The age-specific prevalence and the demographic data of the target population were then used to estimate the annual prevalence of osteoporosis in the target population during the study period.
The incidence of hip fracture in women aged 50 years or above was calculated and expressed as the annual number of hip fractures per 10,000 women. In the calculation of the age-adjusted fracture incidence, age adjustment was done by direct standardisation with the mean population between 1967 and 2001 as the standard population. Time-trend analysis was done by linear regression analysis. Based on previous findings , we selected 1985 a priori as the hypothetic year to test whether any trend-break in hip fracture incidence occurred during the study period. The difference between time-trend before and after this time-point was analysed in a regression model with an interaction term. All analyses were performed using the SAS ver 9.1 statistical analysis system (SAS Institute, Cary, NC, USA). A P value of less than 0.05 or a positive lower limit of the confidence interval for the time-trend analysis of hip fracture incidence was considered to indicate statistical significance.
Given the size of the study groups and the distribution of the bone mineral density, posthoc two-tailed power analysis yielded a detection of group differences in bone mineral density of between 22 to 25 mg/cm2 with a significance criterion of 0.05 and 80% power.
At the start of the study in 1970, no permission from the institutional review board and no consent form were required; the women were asked to provide oral informed consent. However, later in the study, in 1998, written permission was granted by the ethics committee of the University of Lund (LU 208-98). The study was carried out in accordance with the Helsinki Declaration.
Bone mineral density
Bone mineral density and prevalence of osteoporosis evaluated at the distal radius in three cohorts of women measured in 1970-74, 1987-93 and 1998-99.
n = 106
n = 175
n = 178
Bone mineral density (mg/cm2)b
438 (422, 454)
453 (439, 468)
461 (446, 477)
444 (430, 458)
460 (449, 471)
451 (440, 461)
Prevalence of osteoporosis c
15.1 (8.2, 22.0)
15.1 (9.7, 20.5)
14.9 (9.5, 20.2)
13.6 (6.1, 21.2)
14.7 (8.9, 20.5)
11.0 (8.4, 13.6)
There was a statistically significant difference in age between the three cohorts (P = 0.01, Table 2). After adjustment for age, there also was no significant difference in bone mineral density between the three cohorts (P = 0.17, Table 3).
Prevalence of osteoporosis
The age-adjusted prevalence of osteoporosis varied between 11 and 15 percent in the women measured in 1970-1974, 1987-1993 and 1998-1999. However, there was no difference in the age-adjusted prevalence of osteoporosis between the three cohorts (P = 1.00, Table 3).
Incidence of hip fractures
The overall pattern in the crude incidence between 1967 and 2001 was increasing (1.58 per year; 95 percent confidence interval, 1.17 to 1.99), and was predominantly observed in the time period from 1967 to 1985 (2.09 per year; 95 percent confidence interval, 1.09 to 3.09). Thereafter the incidence levelled off (0.36 per year; 95 percent confidence interval, - 0.46 to 1.19). The difference between the patterns before and after 1985 was statistically significant (P = 0.02, Figure 2).
After adjustment for an increasing proportion of elderly women in the target population, there was no statistically significant change in the age-adjusted incidence of hip fractures over the observation period (0.22 per year; 95 percent confidence interval, - 0.16 to 0.60, Figure 2).
The results of this study show that despite a more than a doubling in the annual number of hip fractures in women aged 50 years or above in the past 30 years in Malmö, Sweden, there was no change in the age-adjusted incidence of hip fractures over the same period. Consistent to the finding of a stable age-adjusted annual incidence of hip fracture a stable age-adjusted bone mineral density as well as a stable prevalence of osteoporosis was observed during the same period. However, when the age-specific prevalences of osteoporosis in the study group were applied to the demographic changes in the whole population of Malmö, calculations suggested that both the total number of women aged 50 years or above with osteoporosis and the annual prevalence of osteoporosis in the target population increased during the observation period. Taken together, these findings suggest that the recent surge in the number of hip fractures of elderly is attributable to demographic changes in the population, i.e. a higher proportion of aged people, rather than to a proposed secular increase in the age-adjusted prevalence of osteoporosis.
Low bone mineral density is considered to be one of the major risk factors for hip fracture . The diagnosis of osteoporosis is also based on a measurement of bone mineral density, and is used for the clinical decision about treatment . The prevalence of osteoporosis has been found to vary considerable between different elderly populations (from 8% to 38%), and between measurement sites within the same population (from 3% to 26%) [22–26]. In this study the age-adjusted prevalence of osteoporosis varied between 11 and 15% during the study period and there was no tendency to any increasing age-adjusted prevalence of osteoporosis in women aged 50 years or above during the evaluated period. However, as the bone mineral density is an age-dependent variable, i.e. the prevalence of osteoporosis increases with advancing age, the age structure of the whole population of women aged 50 years or above must be taken into account when estimating the annual prevalence of osteoporosis in a population. Accordingly, to analyse secular patterns in the annual prevalence of osteoporosis within a society, changes in the age structure must also be taken into account. Although the age-adjusted prevalence in this study was stable over time, the proportion of elderly women increased over time and thus the number of women in the whole population with osteoporosis increased.
The burden of hip fractures has increased considerably throughout the world over the last few decades as both the number and the proportion of elderly women have increased . However, there have been indications of secular deterioration, as the age-adjusted annual incidence of hip fractures has been reported to be increasing in several populations between the 1950s and the 1980s, even after controlling for demographic changes [3, 5, 7, 9, 14]. In this study, the rise in the crude incidence levelled off in the mid-1980s, whereas the age-adjusted incidence was stable during the whole observation period. This finding is consistent with studies from the USA (white) and England [5, 14, 15, 17], but contrary to studies from the USA (Hispanics), Singapore and Finland [7, 11, 14]. Notably, a downturn in hip fracture incidence during the last decade has recently been noted in Finland. However, the reason for the substantial variation in the secular pattern in the age-adjusted incidence between different populations is unclear.
One strength of this study was that the measurements obtained by singe-photon absorptiometry were performed using the same densitometer, without any significant long-term drift, throughout the study period. Furthermore, the system for the ascertainment of hip fractures was the same over the study period [8, 34–36], a well-evaluated method that minimised selection bias and misclassification bias, which are usually limiting factors in the use of admission or discharge registers.
However, our study has limitations that require consideration. First, the study group for the bone mineral density measurements were not strictly population-based and thus there is a potentially risk for a selection bias. It could be argued that a non population-based sample consists of healthier individuals and therefore, possibly, the bone mineral density will be overestimated in such a sample. However, the risk for selection bias could not be ruled out even in a population-based sample. A low participation-rate in a population-based sample may overestimate the bone mineral density because the non-responders tend to have a lower bone mineral density than the responders . Second, the WHO diagnostic criteria for osteoporosis includes only postmenopausal women assessed by dual energy X-ray absorptiometry technique, but this measurement equipment was not introduced at the beginning of this study. However, it has been shown that bone mineral density measured at the distal radius by single-photon absorptiometry and at the hip by dual energy X-ray absorptiometry technique are highly correlated (r = 0.9, P < 0.001) , and that measurements at the distal radius by single-photon absorptiometry technique also predict hip fractures . It should be noted that even if there is a high correlation between two different measurement techniques there will be a risk of systematic shifts in the data. In this study that could have lead to an under- or overestimation of the prevalence of osteoporosis as compared to if the osteoporosis diagnosis would have been assessed by dual energy X-ray absorptiometry technique. However, as the aim of this study was to evaluate differences and secular patterns in osteoporosis prevalence between three different cohorts, such a systematic shift would not have influenced the results in this study. Moreover, in this study the cut-off values for osteoporosis were derived from a non-population based sample of young women. This may introduce an error in the diagnosis of osteoporosis. It is possible that the mean bone mineral density in a non-population based sample would have been higher than the mean bone mineral density of a population-based sample. Accordingly, this may lead to an underestimation of the prevalence of osteoporosis in this study. However, as the same cut-off values were used in the comparison between the cohorts this would not have influenced the analysis in this study. Third, the relative small numbers of women in each of the three study cohorts lowered the statistical power of this study. However, posthoc power analysis showed that this study had an 80% power to detect a group differences in bone mineral density of between 22 to 25 mg/cm2, which corresponds to a group difference of approximate 0.25 SD. As a lowering of one SD in bone mineral density doubles the risk of sustaining a hip fracture, it is reasonable to define the minimal clinically important difference in bone mineral density over three decades and between two different cohorts in such a study as this to 0.25 SD. Given that magnitude of minimal clinically important difference the study samples of the three different cohorts of women in this study were within an acceptable range.
The observed rise in the number of hip fractures in the elderly female population of Malmo, Sweden, during the last three decades seems to be attributable to an increased proportion of elderly women in the population, and less likely to an increase in the prevalence of osteoporosis.
Financial support for this study was provided by the Osterlund Foundation, the Kock foundation and the Region Skane Foundation.
- Cooper C, Atkinson EJ, Jacobsen SJ, O'Fallon WM, Melton LJd: Population-based study of survival after osteoporotic fractures. Am J Epidemiol. 1993, 137 (9): 1001-1005.PubMedGoogle Scholar
- Center JR, Nguyen TV, Schneider D, Sambrook PN, Eisman JA: Mortality after all major types of osteoporotic fracture in men and women: an observational study [see comments]. Lancet. 1999, 353 (9156): 878-882. 10.1016/S0140-6736(98)09075-8.View ArticlePubMedGoogle Scholar
- Martin AD, Silverthorn KG, Houston CS, Bernhardson S, Wajda A, Roos LL: The incidence of fracture of the proximal femur in two million Canadians from 1972 to 1984. Projections for Canada in the year 2006. Clin Orthop. 1991, 111-118. 266
- Evans JG, Seagroatt V, Goldacre MJ: Secular trends in proximal femoral fracture, Oxford record linkage study area and England 1968-86. J Epidemiol Community Health. 1997, 51 (4): 424-429. 10.1136/jech.51.4.424.View ArticlePubMedPubMed CentralGoogle Scholar
- Spector TD, Cooper C, Lewis AF: Trends in admissions for hip fracture in England and Wales, 1968-85. BMJ. 1990, 300 (6733): 1173-1174. 10.1136/bmj.300.6733.1173.View ArticlePubMedPubMed CentralGoogle Scholar
- Falch JA, Kaastad TS, Bohler G, Espeland J, Sundsvold OJ: Secular increase and geographical differences in hip fracture incidence in Norway. Bone. 1993, 14 (4): 643-645. 10.1016/8756-3282(93)90086-P.View ArticlePubMedGoogle Scholar
- Kannus P, Niemi S, Parkkari J, Palvanen M, Vuori I, Jarvinen M: Hip fractures in Finland between 1970 and 1997 and predictions for the future. Lancet. 1999, 353 (9155): 802-805. 10.1016/S0140-6736(98)04235-4.View ArticlePubMedGoogle Scholar
- Gullberg B, Duppe H, Nilsson B, Redlund-Johnell I, Sernbo I, Obrant K, Johnell O: Incidence of hip fractures in Malmo, Sweden (1950-1991). Bone. 1993, 14 (Suppl 1): S23-29. 10.1016/8756-3282(93)90345-B.View ArticlePubMedGoogle Scholar
- Boereboom FT, Raymakers JA, de Groot RR, Duursma SA: Epidemiology of hip fractures in The Netherlands: women compared with men. Osteoporos Int. 1992, 2 (6): 279-284. 10.1007/BF01623183.View ArticlePubMedGoogle Scholar
- Lau EM, Cooper C, Wickham C, Donnan S, Barker DJ: Hip fracture in Hong Kong and Britain. Int J Epidemiol. 1990, 19 (4): 1119-1121. 10.1093/ije/19.4.1119.View ArticlePubMedGoogle Scholar
- Koh LK, Saw SM, Lee JJ, Leong KH, Lee J: Hip fracture incidence rates in Singapore 1991-1998. Osteoporos Int. 2001, 12 (4): 311-318. 10.1007/s001980170121.View ArticlePubMedGoogle Scholar
- Cummings SR, Melton LJ: Epidemiology and outcomes of osteoporotic fractures. Lancet. 2002, 359 (9319): 1761-1767. 10.1016/S0140-6736(02)08657-9.View ArticlePubMedGoogle Scholar
- Gullberg B, Johnell O, Kanis JA: World-wide projections for hip fracture. Osteoporos Int. 1997, 7 (5): 407-413. 10.1007/PL00004148.View ArticlePubMedGoogle Scholar
- Zingmond DS, Melton LJ, Silverman SL: Increasing hip fracture incidence in California Hispanics, 1983 to 2000. Osteoporos Int. 2004, 15 (8): 603-610. 10.1007/s00198-004-1592-7. Epub 2004 Mar 2004View ArticlePubMedGoogle Scholar
- Kannus P, Niemi S, Parkkari J, Palvanen M, Vuori I, Jarvinen M: Nationwide decline in incidence of hip fracture. J Bone Miner Res. 2006, 21 (12): 1836-1838. 10.1359/jbmr.060815.View ArticlePubMedGoogle Scholar
- Naessen T, Parker R, Persson I, Zack M, Adami HO: Time trends in incidence rates of first hip fracture in the Uppsala Health Care Region, Sweden, 1965-1983. Am J Epidemiol. 1989, 130 (2): 289-299.PubMedGoogle Scholar
- Melton LJ, Atkinson EJ, Madhok R: Downturn in hip fracture incidence. Public Health Rep. 1996, 111 (2): 146-150. discussion 151PubMedPubMed CentralGoogle Scholar
- Nguyen T, Sambrook P, Kelly P, Jones G, Lord S, Freund J, Eisman J: Prediction of osteoporotic fractures by postural instability and bone density. BMJ. 1993, 307 (6912): 1111-1115. 10.1136/bmj.307.6912.1111.View ArticlePubMedPubMed CentralGoogle 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 [see comments]. N Engl J Med. 1995, 332 (12): 767-773. 10.1056/NEJM199503233321202.View ArticlePubMedGoogle Scholar
- Sambrook P, Cooper C: Osteoporosis. Lancet. 2006, 367 (9527): 2010-2018. 10.1016/S0140-6736(06)68891-0.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 TV, Center JR, Pocock NA, Eisman JA: Limited utility of clinical indices for the prediction of symptomatic fracture risk in postmenopausal women. Osteoporos Int. 2004, 15 (1): 49-55. 10.1007/s00198-003-1511-3. Epub 2003 Oct 2030View 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.19184.108.40.2061.View ArticlePubMedGoogle Scholar
- Tenenhouse A, Joseph L, Kreiger N, Poliquin S, Murray TM, Blondeau L, Berger C, Hanley DA, Prior JC: 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). Osteoporos Int. 2000, 11 (10): 897-904. 10.1007/s001980070050.View ArticlePubMedGoogle Scholar
- Wu XP, Liao EY, Huang G, Dai RC, Zhang H: A comparison study of the reference curves of bone mineral density at different skeletal sites in native Chinese, Japanese, and American Caucasian women. Calcif Tissue Int. 2003, 73 (2): 122-132. 10.1007/s00223-002-1069-7.View ArticlePubMedGoogle Scholar
- Iki M, Kagamimori S, Kagawa Y, Matsuzaki T, Yoneshima H, Marumo F: Bone mineral density of the spine, hip and distal forearm in representative samples of the Japanese female population: Japanese Population-Based Osteoporosis (JPOS) Study. Osteoporos Int. 2001, 12 (7): 529-537. 10.1007/s001980170073.View ArticlePubMedGoogle Scholar
- Westlin NE: An apparatus for gamma absorptiometry of bone-Normative data. Opuscula Medico-Technica Lundensia. 1974, 12 (1):
- Karlsson MK, Gardsell P, Johnell O, Nilsson BE, Akesson K, Obrant KJ: Bone mineral normative data in Malmo, Sweden. Comparison with reference data and hip fracture incidence in other ethnic groups. Acta Orthop Scand. 1993, 64 (2): 168-172.View ArticlePubMedGoogle Scholar
- Duppe H, Gardsell P, Johnell O, Nilsson BE: Bone mineral content in women: trends of change. Osteoporos Int. 1992, 2 (5): 262-265. 10.1007/BF01624153.View ArticlePubMedGoogle Scholar
- Daly RM, Ahlborg HG, Ringsberg K, Gardsell P, Sernbo I, Karlsson MK: Association between changes in habitual physical activity and changes in bone density, muscle strength, and functional performance in elderly men and women. J Am Geriatr Soc. 2008, 56 (12): 2252-60. 10.1111/j.1532-5415.2008.02039.x.View ArticlePubMedGoogle Scholar
- Nauclér L, Nilsson BE, Westlin NE: An apparatus for gamma absorptiometry of bone-Technical data. Opuscula Medico-Technica Lundensia. 1974, 12 (1):
- Ahlborg HG, Johnell O, Nilsson BE, Jeppsson S, Rannevik G, Karlsson MK: Bone loss in relation to menopause: a prospective study during 16 years. Bone. 2001, 28 (3): 327-331. 10.1016/S8756-3282(00)00451-8.View ArticlePubMedGoogle Scholar
- WHO: Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. WHO Technical Report Series 843, Geneva. 1994Google Scholar
- Nilsson BE, Obrant KJ: Secular tendencies of the incidence of fracture of the upper end of the femur. Acta Orthop Scand. 1978, 49 (4): 389-391.View ArticlePubMedGoogle Scholar
- Johnell O, Nilsson B, Obrant K, Sernbo I: Age and sex patterns of hip fracture--changes in 30 years. Acta Orthop Scand. 1984, 55 (3): 290-292.View ArticlePubMedGoogle Scholar
- Rogmark C, Sernbo I, Johnell O, Nilsson JA: Incidence of hip fractures in Malmo, Sweden, 1992-1995. A trend-break. Acta Orthop Scand. 1999, 70 (1): 19-22.View ArticlePubMedGoogle Scholar
- Rogmark C: Femoral neck fractures. Aspects on treatment and outcome. 2003, Malmö, Sweden.: Lund UniversityGoogle Scholar
- Jonsson B, Gardsell P, Johnell O, Redlund-Johnell I, Sernbo I: Remembering fractures: fracture registration and proband recall in southern Sweden. J Epidemiol Community Health. 1994, 48 (5): 489-490. 10.1136/jech.48.5.489.View ArticlePubMedPubMed CentralGoogle Scholar
- Cummings SR, Bates D, Black DM: Clinical use of bone densitometry: scientific review. Jama. 2002, 288 (15): 1889-1897. 10.1001/jama.288.15.1889.View ArticlePubMedGoogle Scholar
- Duppe H, Gardsell P, Hansson B, Nilsson B, Johnell O: Importance of participation rate in sampling of data in population based studies, with special reference to bone mass in Sweden. Journal of Eidemiology and Community Health. 1996, 50: 170-173. 10.1136/jech.50.2.170.View ArticleGoogle Scholar
- Cummings SR, Black DM, Nevitt MC, Browner W, Cauley J, Ensrud K, Genant HK, Palermo L, Scott J, Vogt TM: Bone density at various sites for prediction of hip fractures. The Study of Osteoporotic Fractures Research Group [see comments]. Lancet. 1993, 341 (8837): 72-75. 10.1016/0140-6736(93)92555-8.View ArticlePubMedGoogle Scholar
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