Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 4

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Bone mineral density in the various regions of the skeleton in women with subclinical hypothyroidism: the effect of biological factors, bone turnover markers and physical activity

Kopiczko, Anna·2024·Biomedical Human Kinetics
DOI 10.2478/bhk-2024-0001
Open this paper in CoChat — free account

Abstract

Study aim : This cross-sectional study examined the relationship between biological factors, physical activity (PA), bone turnover markers (BTMs) and bone mineral density (BMD) in women with subclinical hypothyroidism (SCH) and healthy. Material and methods : The study included 135 women. Bone parameters were measured by the densitometry. Calcium, phosphorus, osteocalcin (OC), total alkaline phosphatase (ALP), bone-specific alkaline phosphatase (BALP), vitamin D and cross-linked carboxyterminal telopeptide of type I collagen (ICTP) were measured in blood serum. PA were evaluated by metabolic equivalent of task (MET). Results : Women with SCH had lower BMD in hip and lumbar spine, calcium, vitamin D and higher values of ICTP than the healthy group. In women with SCH, the affecting BMD in the femoral neck were ICTP (µg/l), (η² = 0.083), and also 25(OH)D (ng/ml), (η² = 0.080) and PA level (I/S), (η² = 0.115). BMD in the spine was affected by PA level (I/S), (η² = 0.173). The parameters affecting BMC in the femoral neck were 25(OH)D (ng/ml), (η² = 0.073). In all women sufficient levels of PA determined higher BMD. Conclusions : PA and BTMs significantly determine BMD levels. PA can be an important area of rehabilitation and physical therapy as an available measure to counteract BMD loss in postmenopausal healthy women and those with SCH.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2478/bhk-2024-0001

Cites

11 of 11 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 11 references

Research works printed but not linked: 27

  1. Akkurt M., Ökmen M.Ş., Polat M. (2023) Effects of eight-week aerobic exercises combined with resistance training on cardiovascular risk factors in women. Biomed. Hum. Kinet., 15(1): 1–8. DOI: 10.2478/bhk-2023-0001. · DOI
  2. Benedetti M.G., Furlini G., Zati A., Mauro G.L. (2018) The Effectiveness of Physical Exercise on Bone Density in Osteoporotic Patients. Biomed. Res. Int., DOI: 10.1155/2018/4840531. · DOI · Paper page
  3. Bertoli A., Fusco A., Andreoli A., Magnani A., Tulli A., Lauro D., De Lorenzo A. (2002) Effect of subclinical hypothyroidism and obesity on whole-body and regional bone mineral content. Horm. Res., 57(3-4): 79–84. DOI: 10.1159/000057956. · DOI
  4. Bhattoa H.P., Cavalier E., Eastell R., Heijboer A.C., Jørgensen N.R., Makris K., Ulmer C.Z., Kanis J.A., Cooper C., Silverman S.L., Vasikaran S.D. IFCC-IOF Committee for Bone Metabolism (2021) Analytical considerations and plans to standardize or harmonize assays for the reference bone turnover markers PINP and β-CTX in blood. Clin. Chim. Acta., 515: 16–20. DOI: 10.1016/j. cca.2020.12.023. · DOI
  5. Bolamperti S., Villa I., Rubinacci A. (2022) Bone remodeling: an operational process ensuring survival and bone mechanical competence. Bone. Res., 10: 48. DOI: 10.1038/s41413-022-00219-8. · DOI · Paper page
  6. Daly R.M., Dalla Via J., Duckham R.L., Fraser S.F., Helge E.W. (2019) Exercise for the prevention of osteoporosis in postmenopausal women: an evidence-based guide to the optimal prescription. Braz. J. Phys. Ther., 23: 170–180. DOI: 10.1016/j.bjpt.2018.11.011. · DOI
  7. Demartini Ade A., Kulak C.A., Borba V.C., Cat M.N., Dondoni R.S., Sandrini R., Nesi-França S., Lacerda Filho L.D. (2007) Bone mineral density of children and adolescents with congenital hypothyroidism. Arq. Bras. Endocrinol. Metabol., 51(7): 1084–1092. Portuguese. DOI: 10.1590/s0004-27302007000700010. · DOI
  8. El Hadidy H.M., Ghonaim M., El Gawad S., El Atta M.A. (2011) Impact of severity, duration, and etiology of hyperthyroidism on bone turnover markers and bone mineral density in men. BMC Endocr. Disord., 11: 15. DOI: 10.1186/1472-6823-11-15. · DOI
  9. Hall J.G., Allanson J.E., Gripp K.W., Slavotinek A.M. (2007) Handbook of Physical Measurements. Oxford University Press.
  10. Herbert A.J., Williams A.G., Hennis P.J., Erskine R.M., Sale C., Day S.H., Stebbings G.K. (2019) The interactions of physical activity, exercise and genetics and their associations with bone mineral density: implications for injury risk in elite athletes. Eur. J. Appl. Physiol., 119(1): 29–47. DOI: 10.1007/s00421-018-4007-8. · DOI
  11. Kemmler W., Bebenek M., Kohl M., Von Stengel S. (2015) Exercise and fractures in postmenopausal women. Final results of the controlled erlangen fitness and osteoporosis prevention study (EFOPS). Osteoporos. Int., 26: 2491–2499. DOI: 10.1007/s00198-015-3165-3. · DOI
  12. Khundmiri S.J., Murray R.D., Lederer E. (2016) PTH and Vitamin D. Compr. Physiol., 15;6(2): 561–601. DOI: 10.1002/cphy.c140071. · DOI
  13. Kim K.M., Choi S.H., Lim S., Moon J.H., Kim J.H., Kim S.W., Jang H.C, Shin C.S. (2014) Interactions between dietary calcium intake and bone mineral density or bone geometry in a low calcium intake population (KNHANES IV 2008–2010). J. Clin. Endocrinol. Metab., 99(7): 2409–2417. DOI: 10.1210/jc.2014-1006. · DOI
  14. Kopiczko A. (2020) Determinants of bone health in adults Polish women: The influence of physical activity, nutrition, sun exposure and biological factors. PLoS One, 15(9): e0238127. DOI: 10.1371/journal.pone.0238127. · DOI · Paper page
  15. Kopiczko A., Cieplińska J. (2022) Forearm bone mineral density in adult men after spinal cord injuries: impact of physical activity level, smoking status, body composition, and muscle strength. BMC Musculoskelet. Disord., 23: 81. DOI: 10.1186/s12891-022-05022-4. · DOI
  16. Kumar A., Mittal S., Orito S., Ishitani K., Ohta H. (2010) Impact of dietary intake, education, and physical activity on bone mineral density among North Indian women. J. Bone Miner. Metab., 28: 192–201. DOI: 10.1007/s00774-009-0118-y. · DOI
  17. Kuo T.R., Chen C.H. (2017) Bone biomarker for the clinical assessment of osteoporosis: recent developments and future perspectives. Biomark. Res., 5: 18. DOI: 10.1186/s40364-017-0097-4. · DOI · Paper page
  18. Lee P.H., Macfarlane D.J., Lam T.H., Stewart S.M. (2011) Validity of the international physical activity questionnaire short form (IPAQ-SF): A systematic review. Int. J. Behav. Nutr. Phys. Act., 8: 115. DOI: 10.1186/1479-5868-8-115. · DOI · Paper page
  19. Li X.P., Li X.Y., Yang M.H., Zhu S.W., Wu X.B., Zhang P. (2021) Changes of bone turnover markers after elderly hip fracture surgery. J. Bone. Miner. Metab., 39(2): 237–244. DOI: 10.1007/s00774-020-01140-y. · DOI
  20. Muir J.M., Ye C., Bhandari M., Adachi J.D., Thabane L. (2013) The effect of regular physical activity on bone mineral density in post-menopausal women aged 75 and over: a retrospective analysis from the Canadian multi-centre osteoporosis study. BMC Musculoskelet. Disord., 14: 253. DOI: 10.1186/1471-2474-14-253. · DOI
  21. Nagata M., Suzuki A., Sekiguchi S., Ono Y., Nishiwaki-Yasuda K., Itoi T., Yamamoto S., et al. (2007) Subclinical hypothyroidism is related to lower heel QUS in post-menopausal women. Endocr. J., 54(4): 625–630. DOI: 10.1507/endocrj.k06-201. · DOI
  22. Nyrć M., Lopuszanska-Dawid M. (2023) Physical fitness and somatic structure in adolescent taekwondo athletes and untrained peers. Biomed. Hum. Kinet., 15: 63–73. DOI: 10.2478/bhk-2023-0009. · DOI
  23. O’Connor K.A., Holman D.J., Wood J.W. (2001) Menstrual cycle variability and the perimenopause. Am. J. Hum. Biol., 13: 465–478. DOI: 10.1002/ajhb.1078. · DOI
  24. Tanriverdi A., Ozcan Kahraman B., Ozsoy I., Bayraktar F., Ozgen Saydam B., Acar S., Ozpelit E., Akdeniz B., Savci S. (2019) Physical activity in women with sub-clinical hypothyroidism. J. Endocrinol. Invest., 42(7): 779–785. DOI: 10.1007/s40618-018-0981-2. · DOI
  25. Tuchendler D., Bolanowski M. (2013) Assessment of bone metabolism in premenopausal females with hyper-thyroidism and hypothyroidism. Endokrynol. Pol., 64(1): 40–44.
  26. Vestergaard P., Mosekilde L. (2003) Hyperthyroidism, bone mineral, and fracture risk–a meta-analysis. Thyroid., 13(6): 585–593. DOI: 10.1089/105072503322238854. · DOI · Paper page
  27. Wallace B.A., Cumming R.G. (2000) Systematic review of randomized trials of the effect of exercise on bone mass in pre- and postmenopausal women. Calcif. Tissue. Int., 67(1): 10–18. DOI: 10.1007/s00223001089. · DOI · Paper page

Cited by

Metadata

Authors
Kopiczko, A.
Venue
Biomedical Human Kinetics
Publisher
Walter de Gruyter GmbH
Published
2023-12-30
Volume
16
Issue
1
Pages
1-11
ISSN
2080-2234
DOI
10.2478/bhk-2024-0001
Cited by
4
References
11
Language
en
Licence
creativecommons.org/licenses/by-nc-nd/3.0 (unspecified)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.