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Prevalence of osteoporosis and its associated factors among postmenopausal women in Kiambu County, Kenya: a household survey

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Abstract

Summary

This household survey involved determining the bone mineral density of 254 postmenopausal African women in Kiambu County, Kenya. The prevalence of osteoporosis was 26.4%. A positive association between osteoporosis and advancing age, poverty, illiteracy, and being underweight was found.

Introduction

Osteoporosis is a worldwide health problem with high morbidity and mortality. In Kenya, there is paucity of information on the magnitude and risk profiles of those at risk. The objective of this study was to determine the prevalence and associated factors of osteoporosis among postmenopausal women in a Kenyan periurban population.

Methods

This community-based cross-sectional survey involving 254 postmenopausal African women in Kiambu County, Kenya, was carried out between October 2017 and February 2018. Multi-stage random sampling approach was adopted where households were selected after sampling sub-counties and enumeration areas. A structured questionnaire was administered and physical examination done on recruited participants by the principal investigator and research assistants. Weight and height of the participants were measured and bone mineral density was determined using dual-energy X-ray absorptiometry (DXA). Data were analyzed using SPSS statistical software version 21.0, SPSS Inc.

Results

The mean age of the women was 64.6 years and ranging between 50 and 95 years. The prevalence of osteoporosis was 26.4%. Osteoporosis was associated with advancing age (p < 0.0001), low socioeconomic status (p = 0.007), lower education level (p < 0.0001), being underweight (BMI < 18.5) (p < 0.0001), family history of osteoporosis (p = 0.006), and caffeine intake (p = 0.002). The association between osteoporosis and occupation, marital status, age at menarche, and exercise was not statistically significant.

Conclusions

The prevalence of osteoporosis among the select women in Kenya is high and is associated with advancing age, poverty, illiteracy, and being underweight. There is need to implement intervention strategies based on these findings to control osteoporosis in groups at risk.

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References

  1. Johnell O, Kanis JA (2006) An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int 17(12):1726–1733

    Article  CAS  Google Scholar 

  2. Broken bones, broken lives: a roadmap to fragility fracture crisis in Europe. https://www.iofbonehealth.org/broken-bones-broken-lives. Accessed January 12th 2019

  3. International Osteoporosis Foundation (IOF): facts and statistics about osteoporosis and its impact in 2007 (2007) Available at: http://www.iofbonehealth.org/factsand-statistics.html. Accessed July 31st 2017

  4. Ojwang PJ, Pegoraro RJ, Rom L, Lanning P (2001) Collagen Iα1 and vitamin D receptor gene polymorphisms in South African whites, blacks and Indians. East Afr Med J 78:604–607

    CAS  PubMed  Google Scholar 

  5. G. O Oyoo & J. G Kariuki (2007) Osteoporosis - from hormonal replacement therapy to bisphosphonates and beyond: a review East African Medical Journal. 84(11):534–545

  6. Odawa F, Ojwang S, Muia N et al (2004) The prevalence of postmenopausal osteoporosis in black Kenyan women. Obst Gyn 17(1):45–46

    Google Scholar 

  7. International Osteoporosis Foundation (IOF): facts and statistics about osteoporosis and its impact in 2007 https://www.iofbonehealth.org/sites/default/files/PDFs/Audit%20Middle%20East_Africa/ME_Audit-Kenya.pdf. Accessed July 31st 2017

  8. Miura S, Saavedra OL, Yamamoto S (2008) Osteoporosis in urban post-menopausal women of the Philippines: prevalence and risk factors. Arch Osteoporos 3(1–2):17–24

    Article  Google Scholar 

  9. Limpaphayom KK, Taechakraichana N, Jaisamrarn U, Bunyavejchevin S, Chaikittisilpa S, Poshyachinda M, Taechamahachai C, Havanond P, Onthuam Y, Lumbiganon P, Kamolratanakul P (2001) Prevalence of osteopenia and osteoporosis in Thai women. Menopause 8:65–69

    Article  CAS  Google Scholar 

  10. Po JY, Finlay JE, Brewster MB, Canning D. Estimating household permanent income from ownership of physical assets. Program on the Global Demography of Aging; 2012

  11. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund UL, Yngve A, Sallis JF, Oja P (2003) International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 35(8):1381–1395

    Article  Google Scholar 

  12. Lim JU, Lee JH, Kim JS, Hwang YI, Kim TH, Lim SY, Yoo KH, Jung KS, Kim YK, Rhee CK (2017) Comparison of World Health Organization and Asia-Pacific body mass index classifications in COPD patients. Intern J Chron Obstructive Pulm Disease 12:2465–2475. https://doi.org/10.2147/COPD.S141295

    Article  CAS  Google Scholar 

  13. Häussler B, Gothe H, Göl D, Glaeske G, Pientka L, Felsenberg D (2007) Epidemiology, treatment and costs of osteoporosis in Germany—the BoneEVA study. Osteoporos Int 18(1):77–84

    Article  Google Scholar 

  14. Sudhaa S, VishalR T, Annil M, Avinash K, Dinesh K (2006) Preliminary screening of osteoporosis and osteopenia in urban women from Jammu using calcaneal QUS. Indian J Med Sci 60(5):183–189

    Article  Google Scholar 

  15. Lu YC, Lin YC, Lin YK, Liu YJ, Chang KH, Chieng PU, Chan WP (2016) Prevalence of osteoporosis and low bone mass in older Chinese population based on bone mineral density at multiple skeletal sites. Sci Rep 6:25206. https://doi.org/10.1038/srep25206

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Goodarzizadeh N, Shahrjerdi A, Najafi M et al (2013) Effect of diet and lifestyle habits on bone density in postmenopausal women. J Pharm Res 6(2):309–312

    Google Scholar 

  17. Haris S, Jahan F, Afreen A, Ahmed H, Ahmed Z (2014) To determine the risk factors and prevalence of osteoporosis among adult Pakistani population residing in Karachi using quantitative ultrasound technique. J Community Med Health Educ 4(299):2161–0711

    Google Scholar 

  18. Asaoka D (2015) Risk factors for osteoporosis in Japan: is it associated with helicobacter pylori? Ther Clin Risk Manag 11:381–391

    Article  Google Scholar 

  19. Alqahtani S (2014) A study of knowledge of women toward osteoporosis in primary care in Tabuk. Int J Med Sci Public health 3(7):803–807

    Article  Google Scholar 

  20. Iki M, Kagamimori S, Kagawa Y, Matsuzaki T, Yoneshima H, Marumo F, JPOS Study Group (2001) 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 12(7):529–537

    Article  CAS  Google Scholar 

  21. Alonge TOE, Adebusoye LA, Ogunbode AM, Olowookere OO, Ladipo MA, Balogun WO, Okoje-Adesomoju V (2017) Factors associated with osteoporosis among older patients at the Geriatric Centre in Nigeria: a cross-sectional study South African Family Practice 59(3):87–93

  22. Elmaataoui A, Elmachtani SI, Dami A, Bouhsain S, Chabraoui L, Ouzzif Z (2014) Association between bone turnover markers, bone mineral density and vitamin D in Moroccan postmenopausal women. Pathologie-biologie 62(1):49–54

    Article  CAS  Google Scholar 

  23. Gheita T A & Hammam N (2018) Epidemiology and awareness of osteoporosis: a viewpoint from the Middle East and North Africa Int. J Clin Rheumatol 13(3), 134–147

  24. Meiyanti M (2016) Epidemiology of osteoporosis in postmenopausal women aged 47 to 60 years. Universa Medicina 29(3):169–176

    Google Scholar 

  25. Ho SC, Chen YM, Woo JLF (2005) Educational level and osteoporosis risk in postmenopausal Chinese women. Am J Epidemiol 161:680–690. https://doi.org/10.1093/aje/kwi047

    Article  PubMed  Google Scholar 

  26. Biino G, Casula L, de Terlizzi F, Adamo M, Vaccargiu S, Francavilla M, Loi D, Casti A, Atzori M, Pirastu M (2011). Epidemiology of osteoporosis in an isolated Sardinian population by using quantitative ultrasound. Am. J. Epidemiol. 174 (4):432–439

  27. Mahmoud AA, Sabry SS. Osteoporosis risk factors among working women. (2017) American J Nurs 5(4):148–157

  28. Unni J, Garg R, Pawar R (2010) Bone mineral density in women above 40 years. J Midlife Health 1:19–22

    PubMed  PubMed Central  Google Scholar 

  29. Garg N, Mol V, Sethi D (2018) An epidemiological study to assess bone mineral density and its association with contributing factors among premenopausal and postmenopausal women in selected villages of district Shimla, Himachal Pradesh, India. Int J Reprod Contracep Obstet Gynecol 7(2):487–494

    Article  Google Scholar 

  30. Heidari B, Muhammadi A, Javadian Y, Bijani A, Hosseini R, Babaei M (2017) Associated factors of bone mineral density and osteoporosis in elderly males. Int J Endocrinol Metab 15(1):e39662

    PubMed  Google Scholar 

  31. Mazocco L, Chagas P (2017) Association between body mass index and osteoporosis in women from northwestern Rio Grande do Sul. RevistaBrasileira de Reumatologia 57(4):299–305

    Article  Google Scholar 

  32. Patel R, Rodriguez A, Yasmeen T, Drever ED (2015) Impact of obesity on osteoporosis: limitations of the current modalities of assessing osteoporosis in obese subjects. Clinic Rev Bone Min Metab 13:36–42. https://doi.org/10.1007/s12018-015-9179-8

    Article  CAS  Google Scholar 

  33. Yahata Y, Aoyagi K, Okano K (2002) Metacarpal bone mineral density, body mass index and life style among postmenopausal Japanese women: relationship of body mass index, physical activity, calcium intake, alcohol use and smoking to bone mineral density: the Hizen-Oshima study. Tohoku J Exp Med 196(3):123–129

    Article  Google Scholar 

  34. Looker AC, Flegal KM, Melton LJ 3rd (2007) Impact of increased overweight on the projected prevalence of osteoporosis in older women. Osteoporos Int 18:307–313

    Article  CAS  Google Scholar 

  35. Peker N, Tosun ÖÇ (2018) Is grand multiparity a risk factor for the development of postmenopausal osteoporosis? Clin Interv Aging 13:505

    Article  CAS  Google Scholar 

  36. Allali F, Maaroufi H, El Aichaoui S, Khazani H, Saoud B, Benyahya B, Abouqal R, Hajjaj-Hassouni N (2007) Influence of parity on bone mineral density and peripheral fracture risk in Moroccan postmenopausal women. Maturitas. 57(4):392–398

    Article  Google Scholar 

  37. Sadat-Ali M, Al-Habdan I, Al-Mulhim A-A et al (2005) Effect of parity on bone mineral density among postmenopausal Saudi Arabian women. Saudi Med J 26(10):1588–1590

    PubMed  Google Scholar 

  38. Asikainen TM, Kukkonen-Harjula K, Miilunpalo S (2004) Exercise for health for early postmenopausal women. Sports Med 34(11):753–778

    Article  Google Scholar 

  39. Demirtaş Ö, Demirtaş G, Hurşitoğlu BS, Terzi H, Şekerci Z, Ök N (2014) Is grand multiparity a risk factor for osteoporosis in postmenopausal women of lower socioeconomic status?, European review for medical and pharmacological sciences. 18(18):2709

  40. de Oliveira LC, de Oliveira RG, de Almeida Pires-Oliveira DA (2019) Effects of whole-body vibration versus pilates exercise on bone mineral density in postmenopausal women: a randomized and controlled clinical trial. J Geriatr Phys Ther 42(2):E23–E31

    Article  Google Scholar 

  41. Ruchira MJ, Ambrish M, Nidhi M, Edward MB (2010) Pilot case-control investigation of risk factors for hip fractures in the urban Indian population. BMC MusculoskeletDisord 11:49

    Article  Google Scholar 

  42. Kahsay AB, Gashe FE, Debessai ZG, Tegegne A (2014) Risk factors of osteoporosis among adults in Ethiopia, the case of Tigrai region: a case control study. J Public Health Epidemiol 6(2):92–100

    Article  Google Scholar 

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Acknowledgments

The authors wish to express their sincere gratitude to the research assistants for assisting in data collection and Mr. Gerald Mbuthia for statistical analysis.

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Authors and Affiliations

  1. Department of Orthopaedic Surgery, University of Nairobi, P. O. Box 19676, Nairobi, 00202, Kenya

    Fred Chuma Sitati

  2. Academic Affairs, Research and Extension, Technical University of Mombasa, Ghent University, Mombasa, Kenya

    Peter Gichangi

  3. Department of Anatomy and Obstetrics and Gynecology, University of Nairobi, Nairobi, Kenya

    Madadi Moses Obimbo

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  1. Fred Chuma Sitati
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  2. Peter Gichangi
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  3. Madadi Moses Obimbo
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Correspondence to Fred Chuma Sitati.

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Approval to conduct the study was obtained from the Kenyatta National Hospital, Ethics and Research Committee (KNH/UoN-ERC) and Kiambu County government. Participants in this study gave a written informed consent.

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Sitati, F., Gichangi, P. & Obimbo, M.M. Prevalence of osteoporosis and its associated factors among postmenopausal women in Kiambu County, Kenya: a household survey. Arch Osteoporos 15, 31 (2020). https://doi.org/10.1007/s11657-020-0685-z

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