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Cited by 573

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Global, regional prevalence, and risk factors of osteoporosis according to the World Health Organization diagnostic criteria: a systematic review and meta-analysis

Xiao, P.-L., Cui, A.-Y., Hsu, C.-J., Peng, R., Jiang, N., Xu, X.-H., Ma, Y.-G., Liu, D., Lu, H.-D.·2022·Osteoporosis International

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Citations

Cites

Show all 40 references

Research works printed but not linked: 10

  1. Bakir MA, Hammad KB, Habil KM (2018) Bone mineral density in healthy Syrian women measured by dual energy X-ray absorptiometry. https://doi.org/10.2478/anre-2018-0002 · doi:10.2478/anre-2018-0002
  2. Marwaha RK, Tandon N, Garg MK, Kanwar R, Bhadra K (2010) Bone health in healthy Indian population aged 50 years and above. Osteoporos Int 21:S690–S691. https://doi.org/10.1007/s00198-010-1433-9 · doi:10.1007/s00198-010-1433-9
  3. Mahussain S, Badr H, Al-Zaabi K, Mohammad M, Alnafisi N (2006) Bone mineral density in healthy Kuwaiti women. Arch Osteoporos 1:51-57. https://doi.org/10.1007/s11657-006-0008-z · doi:10.1007/s11657-006-0008-z
  4. Olmos JM, Hernández JL, Martínez J et al. (2018) Prevalence of vertebral fracture and densitometric osteoporosis in Spanish adult men: The Camargo Cohort Study. J Bone Miner Metabol 36:103-110. https://doi.org/10.1007/s00774-017-0812-0 · doi:10.1007/s00774-017-0812-0
  5. Tobias JH, Cook DG, Chambers TJ, Dalzell N (1994) A comparison of bone mineral density between Caucasian, Asian and Afro-Caribbean women. Clin Sci (London, England : 1979) 87:587-91. https://doi.org/10.1042/cs0870587 · doi:10.1042/cs0870587
  6. Roy D, Swarbrick C, King Y et al. (2005) Differences in peak bone mass in women of European and South Asian origin can be explained by differences in body size. Osteoporos Int 16:1254-62. https://doi.org/10.1007/s00198-005-1837-0 · doi:10.1007/s00198-005-1837-0
  7. Maalouf G, Salem S, Sandid M et al. (2000) Bone mineral density of the Lebanese reference population. Osteoporos Int 11:756-64. https://doi.org/10.1007/s001980070054 · doi:10.1007/s001980070054
  8. Aaron JE, Johnson DR, Paxton S, Kanis JA (1989) Secondary osteoporosis and the microanatomy of trabecular bone. Clin Rheumatol 8 Suppl 2:84-8. https://doi.org/10.1007/bf02207240 · doi:10.1007/bf02207240
  9. Allali F, Rostom S, Bennani L, Abouqal R, Hajjaj-Hassouni N (2010) Educational level and osteoporosis risk in postmenopausal Moroccan women: A classification tree analysis. Clin Rheumatol 29:1269-1275. https://doi.org/10.1007/s10067-010-1535-y · doi:10.1007/s10067-010-1535-y
  10. Parizad N, Baghi V, Karimi EB, Ghanei Gheshlagh R (2019) The prevalence of osteoporosis among Iranian postmenopausal women with type 2 diabetes: A systematic review and meta-analysis. Diab Metabol Synd 13:2607-2612. https://doi.org/10.1016/j.dsx.2019.07.036 · doi:10.1016/j.dsx.2019.07.036

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Metadata

Authors
Xiao, P.-L., Cui, A.-Y., Hsu, C.-J., Peng, R., Jiang, N., Xu, X.-H., Ma, Y.-G., Liu, D., & Lu, H.-D.
Venue
Osteoporosis International
Published
2022-06-10
Volume
33
Issue
10
Pages
2137-2153
ISSN
  • 0937-941X (ISSN-L)
  • 1433-2965
OpenAlex
W4281737395
Cited by
573
References
40
FWCI
29.94
Type
journal article
Language
en
Open access
closed
Licence
Funders
National Natural Science Foundation of China (81772384, 81902242)

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CoChat. (2026). Citation check: Global, regional prevalence, and risk factors of osteoporosis according to the World Health Organization diagnostic criteria: a systematic review and meta-analysis. https://app.cochat.ai/papers/10.1007/s00198-022-06454-3
The paper
Xiao, P.-L., Cui, A.-Y., Hsu, C.-J., Peng, R., Jiang, N., Xu, X.-H., Ma, Y.-G., Liu, D., & Lu, H.-D. (2022). Global, regional prevalence, and risk factors of osteoporosis according to the World Health Organization diagnostic criteria: a systematic review and meta-analysis. Osteoporosis International. https://doi.org/10.1007/s00198-022-06454-3

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.