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In GEDA however, data on the use of pharmaceuticals were not collected and an evaluation of the use of different drug classes could therefore not be done. In the present study nearly all adults with osteoporosis reported at least one comorbid condition, but the cross-sectional design did not allow for an analysis of cause and effect. In the GEDA study population participants that stated to suffer from osteoporosis were for example more than twice as likely to also suffer from depression.

Drosselmeyer et al. Physical disability following fractures affects the capacity for independent living and complicates social participation. Besides, as physical activity is reduced in depressive patients but important to improve or at least stabilize bone mineral density, it would be important to recognize and treat the disease early. Of interest is also the association between arthrosis and osteoporosis. In the present study, participants with osteoporosis showed more than three times higher odds of having arthrosis.

However, in most cross-sectional studies [ 43 ], arthrosis was negatively connected with osteoporosis in the sense that people with arthrosis showed higher BMD.

Despite this negative association, the risk of osteoporotic fractures in patients with arthrosis remains the same [ 43 ].

Generally, arthrosis is associated with stiffness and pain in the affected joints, and this may reduce physical activity, which subsequently leads to instability and higher fracture risks. Hence, the relation of osteoporosis and arthrosis appears to be very complex and needs to be analysed further.

The disease burden in adults with osteoporosis is of high relevance. Physicians need to be aware of the high occurrence of multimorbidity in adults with osteoporosis. Health care interventions for affected patients should be expanded by offering early or even preventive care for other diseases that go along with it. The dataset analysed during the present study is available from the Robert Koch Institute for researchers who meet the criteria for access, [doi: EM and MTP devised the basic idea for the manuscript.

MTP performed the statistical analysis, with contributions by EM. MTP and MK drafted the manuscript. All authors read and approved the final manuscript. Ethics approval and participant consent was not necessary as this study involved the use of a previously-published de-identified database secondary data analysis according to national guidelines and recommendations in secondary data analysis [ 22 ].

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Manuela Klaschik, Email: ed. Matthias Schmid, Email: ed. Klaus Weckbecker, Email: ed. BMC Musculoskelet Disord. Published online May Author information Article notes Copyright and License information Disclaimer. Corresponding author. Received Dec 22; Accepted Apr Abstract Background Knowledge on prevalence of osteoporosis stratifying for socioeconomic background is insufficient in Germany.

Results Overall, 8. Conclusions There was no clear evidence of socioeconomic differences regarding osteoporosis for adults in Germany. Background Osteoporosis and its consequences are a major public health concern and amount in high expenses for health care systems [ 1 , 2 ]. Results The total number of participants aged 50 years and older was 10, Female Medium Ex-smoker Never Open in a separate window.

Discussion The underlying study provides representative data on prevalence rates and comorbidities of osteoporosis based on the German population aged 50 years and older. Conclusions The disease burden in adults with osteoporosis is of high relevance.

Availability of data and materials The dataset analysed during the present study is available from the Robert Koch Institute for researchers who meet the criteria for access, [doi: Notes Ethics approval and consent to participate Ethics approval and participant consent was not necessary as this study involved the use of a previously-published de-identified database secondary data analysis according to national guidelines and recommendations in secondary data analysis [ 22 ].

Competing interests The authors declare that they have no competing interests. References 1. Reginster J-Y, Burlet N.

Osteoporosis: a still increasing prevalence. Osteoporosis in the European Union: a compendium of country-specific reports. Arch Osteoporos. World Health Organization. Accessed 03 Apr Differences in adults’ health and health behaviour between 16 European urban areas and the associations with socio-economic status and physical and social environment.

Eur J Pub Health. Robert Koch-Institut. Gesundheitliche Ungleichheit in verschiedenen Lebensphasen. Gesundheitsberichterstattung des Bundes.

Gemeinsam getragen von RKI und Destatis. Accessed 24 May Socioeconomic inequalities in morbidity and mortality in western Europe. Socioeconomic inequalities in health in 22 European countries. N Engl J Med. The association between socioeconomic status and osteoporotic fracture in population-based adults: a systematic review.

Osteoporos Int. Association between socioeconomic status and bone mineral density in adults: a systematic review. Risk factors in osteoporosis. Body mass index as a predictor of fracture risk: a meta-analysis. Assessment of fracture risk. Public Use File first Version. Gesundheitsmonitoring am Robert Koch-Institut. Sachstand und Perspektiven Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz.

Int J Epidemiol. Accessed 02 May In: Gabler S, editor. Telefonstichproben in Deutschland. Opladen u. Kish L. A procedure for objective respondent selection within the household. J Am Stat Assoc. RKI, Berlin. Accessed 31 Jan Accessed 04 Oct Obesity – preventing and managing the global epidemic: report on a WHO consultation. Geneva: World Health Organization; Alcohol use disorders identification test. Arch Intern Med. IBM Corp. R Core Team. R: a language and environment for statistical computing.

Vienna: R Foundation for Statistical Computing; The recent prevalence of osteoporosis and low bone mass in the United States based on bone mineral density at the femoral neck or lumbar spine. J Bone Miner Res. Estimating prevalence of osteoporosis: examples from industrialized countries. The epidemiology of osteoporosis–bone evaluation study BEST : an analysis of routine health insurance data. Dtsch Arztebl Int. Scheidt-Nave C, Starker A. Osteoporosepravalenz und assoziierte Versorgungsmuster bei Frauen im Alter ab 45 Jahren in Deutschland.

Ergebnisse des ersten telefonischen Gesundheitssurveys Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. Association between alcohol consumption and both osteoporotic fracture and bone density.

Am J Med. Alcohol: a simple nutrient with complex actions on bone in the adult skeleton. Alcohol Clin Exp Res. Alcohol consumption and hip fracture risk.

Effects of beer, wine, and liquor intakes on bone mineral density in older men and women. Goodman, Allen C. Bourassa, Steven C. Steven C.

PENG, Clapp, John M, Rebecca Wu, Zhang, Timothy J. Mulligan, Din, A. Andrew Kusiak, Agostino Valier, McIlhatton, Michael Johnson, Allen C. Thibodeau, Narula, Subhash C. Lam, Full references including those not matched with items on IDEAS Most related items These are the items that most often cite the same works as this one and are cited by the same works as this one. Gallen, School of Finance. David C. Waller, Dorsey, Robert E. Marko Kryvobokov, Xiaolong Liu, Tracking spatial location of clusters of geographically weighted regression estimates of price determinants ,” Land Use Policy , Elsevier, vol.

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More about this item Keywords Real estate market ; Automated valuation models ; Investment ; Geocoding ; Allnes cities ; Machine learning ; Artificial intelligence ; All these keywords. Conclusions There was no clear evidence of socioeconomic differences regarding osteoporosis wkndows adults in Germany. See general information about how to windows update 1709 download manuella allens material in RePEc. Beyond BMD, however, there are additional factors that similarly contribute to the disease. As illustrated in Table 2arthrosis Lifetime history was only assessed for four diagnoses associated with long-term damages coronary heart disease, myocardial infarction, cancer and stroke. Xiaolong Liu,

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