Correlates of bone resorption marker C-Telopeptide of type-I collagen for rural postmenopausal women in Zuturung, Kaduna State, Nigeria

Published: August 23, 2022
Abstract Views: 78
PDF: 25
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

Bone loss in postmenopausal women is majorly due to estrogen deficiency. The objective of this study was to determine correlates of serum C-Terminal Telopeptides of Type I Collagen levels (Ctx), a bone resorption marker, in rural postmenopausal women as compared with their premenopausal counterparts. The study was carried out on 38 premenopausal and 75 postmenopausal women in Zuturung, Kaduna state, Nigeria. Subjects were selected, questionnaires were administered to them, anthropometric parameters were determined and fasting blood samples were collected by venipuncture. The blood samples were centrifuged and the samples stored for further analysis using standard methods in the Department of Chemical Pathology, Ahmadu Bello University Teaching Hospital, Shika. Results were presented as mean ± SD, data were analyzed using student t test, and a p value of <0.05 considered to be significant while associations between variables were determined by Pearsons’ correlation using SPSS version 23. The postmenopausal subjects had reduced mean serum calcium (2.30±0.35mg/dL), decreased mean serum Ctx (135.20±42.90ng/mL) and a longer mean waist circumference (89.63±10.66cm) as compared with the premenopausal women (2.37±0.15mg/dL, 155.90±88.70ng/mL & 83.73±8.00cm respectively). While the waist circumference demonstrated a negative correlation with mean serum Ctx that however was not significant (p>0.05). The mean serum Ctx of postmenopausal women with different educational status of the postmenopausal women showed no significant difference. In conclusion, rural postmenopausal women had a lower mean serum calcium and mean serum C-tx (a bone resorption marker) than premenopausal women. They also presented with a longer waist circumference, a negative correlation of their waist circumference with the mean serum Ctx with an equally no significant difference in mean Ctx level in their respective educational status.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

Szulc P, Bauer DC, Eastell R. Biochemical markers of bone turnover in osteoporosis. In: Rosen CJ (ed), Primer on the metabolic bone diseases and disorders of mineral metabolism, 8th Edition. American Society for Bone and Mineral Research; 2013.
Garnero P, Sornay-Rendu E, Chapuy MC, Delmas, PD. Increased bone turnover in late postmenopausal women is a major determinant of osteoporosis. J Bone Mineral Res 1996;11:337-49.
Coates, P. Bone turnover markers. Austral Fam Physician 2013;42:285-7.
Vasikaran S. Assessment of bone turnover in osteoporosis: harmonization of the total testing process. Clin Chem Lab Med 2018;56:1603-7.
Federal Republic of Nigeria Official Gazette. Legal notice on publication of the details of the breakdown of the national and state provisional Totals 2006 census. Federal Republic of Nigeria Official Gazette 2007;24:B175-98.
Yunana MA, Shat A. Fuel wood harvesting as means of income in Gora and Zuturung districts in Zangon ataf Local Government Area, Kaduna State, Nigeria. J Sci Multidiscipl Res 2013;5:121-32
Daniel WW. Biostatistics: A Foundation for analysis in the Health Sciences. 7th edition. New York: John Wiley & Sons; 1999.
Research on the menopause in the 1990s. Report of a WHO Scientific Group. World Health Organ Tech Rep Ser 1996;866:1-107.
Norton K, Whittingham N, Carter L, et al. Measurement techniques in anthropometry, chapter 2. In: Norton K, Olds T (eds) Anthropometrica. University of New South Wales Press, Sydney, Australia; 1996 pp. 25-75.
Visscher TLS, Seidell JC, Molarius A, et al. A comparison of body mass index, waist-hip ratio and waist circumference as predictors of all-cause mortality among the elderly: the Rotterdam study. Int J Obesity 2001;25:1730-5.
Szulc P. Bone turnover: Biology and assessment tools. Best Pract Res Clin Endocrinol Metab 2018;32:725-38.
Gold EB. The timing of the age at which menopause occurs. Obstet Gynecol Clin North Am 2011;38:425-40.
Ilankoon IMPS, Samarasinghe K, Elgán C. Menopause is a natural stage of aging: a qualitative study. BMC Womens Health 2021;21:47.
Gold EB, Bromberger J, Crawford S, et al. Factors associated with age at natural menopause in a multiethnic sample of midlife women. Am J Epidemiol 2001;153:865–74.
Wang M, Gong W, Hu R, et al. Age at natural menopause and associated factors in adult women: Findings from the China Kadoorie Biobank study in Zhejiang rural area. PLoS One 2018:13:e0195658.
Shuster LT, Rhodes DJ, Gostout BS, et al. A. Premature menopause or early menopause: Long–term health consequences. Maturitas 2010:65:161
Kapoor E, Collazo-Clavell ML, Faubion SS. Weight gain in women at midlife: A Concise Review of the Pathophysiology and strategies for Management. Mayo Clin Proc 2017;92:1552-8.
Duval K, Prud’homme D, Rabasa-Lhoret R, et al. Effects of the menopausal transition on energy expenditure: A MONET group study. Eur J Clin Nutr 2013;7:407-11
Khoudary SL, Aggarwal B, Beckie TM, et al. Menopause transition and cardiovascular disease risk: Implications for timing of early prevention: A scientific statement from the American Heart Association. Circulation 2020;142:e506-32.
Lovejoy JC, Champagne CM, deJonge L, et al. Increased visceral fat and decreased energy expenditure during the menopausal transition. Int J Obes (Lond) 2008;32:949-58.
Panotopoulos G, Raison J, Ruiz JC, et al. Weight gain at the time of menopause. Hum Reprod 1997;12:126-33.
Lizneva D, Rahimova A, Kim S-M. FSH beyond fertility. Front Endocrinol 2019;10:136.
Seibel MJ. Clinical application of biochemical markers of bone turnover. Arquivos Brasileiros de & Endocrinologia Metabologia 2006;50:602–20.
Chew CK, Clarke BL. Biochemical testing relevant to bone. Endocrinol Metab Clin North Am 2017;46:649–67.
Krege JH, Lane NE, Harris JM, et al. PINP as a biological response marker during teriparatide treatment for osteoporosis. Osteoporos Int 2014;25:2159–71.
Greenblatt MB, Tsai JN, Wein, MN. Bone turnover markers in the diagnosis and monitoring of metabolic bone disease. Clin Chem 2017;63:464–74.
Dai Z, Wang R, Ang L, et al. Bone turnover biomarkers and risk of osteoporotic hip fracture in an Asian population. Bone 2016;83:171–7.
Leslie WD. Ethnic differences in bone mass-clinical implications. J Clin Endocrinol Metab 2012;97:4329-40.
Park SY, Ahn SH, Yoo JI, et al. Clinical application of bone turnover markers in osteoporosis in Korea. J Bone Metab 2019;26:1924.
Supriyatiningsih, Fredianto M. Reducing the women’s bone turnover by high doses calcium supplementation during menopausal transition. J Clin Diag Treat 2018;1:35-8.
Dey M, Bukhari M. Predictors of fragility fracture and low bone mineral density in patients with a history of parental fracture. Osteoporosis Sarcopenia 2019;5:6-10.
Cao JJ. Effects of obesity on bone metabolism. J Orthop Surg and Res 2011;6:30.
Cui LH, Shin MH, Kweon SS. Sex related differences in the association between waist circumference and bone mineral density in a Korean population. BMC Musculoskelet Disord 2014;15:326.

How to Cite

Achie, L. N., Igashi, J., Augustine, B. D., Emmanuel, N. S., Mohammed, A., & Lawal, Y. Z. (2022). Correlates of bone resorption marker C-Telopeptide of type-I collagen for rural postmenopausal women in Zuturung, Kaduna State, Nigeria. Annals of African Medical Research, 5(1). https://doi.org/10.4081/aamr.2022.164