Literature DB >> 10450413

Prevalence of osteoporosis by educational level in a cohort of postmenopausal women.

M Varenna1, L Binelli, F Zucchi, D Ghiringhelli, M Gallazzi, L Sinigaglia.   

Abstract

To evaluate whether the prevalence of osteoporosis and related risk factors might be influenced by the level of education, as has been demonstrated for many other chronic diseases, 6160 postmenopausal women at their first densitometric referral were interviewed about reproductive variables, past and current use of estrogens, prevalence of chronic diseases, and lifestyle factors such as calcium intake, physical activity, smoking and overweight. This sample was stratified by years of formal education. Densitometric evaluation was performed by dual-energy X-ray absorptiometry. Age at menarche, past exposure to oral contraceptives, use of hormone replacement therapy, prevalence of chronic diseases, physical activity, overweight and smoking showed significant trends according to the years of education. The prevalence of osteoporosis showed an inverse relationship with level of education, ranging from 18.3% for the most educated to 27.8% for the least educated women. Multiple logistic regression analysis demonstrated a predictive role toward osteoporosis by age, age at menarche and menopause, hormone replacement therapy, calcium intake, physical activity and body mass index. Using the lowest educational level as reference category, increases in educational status were associated with a significantly reduced risk for osteoporosis (OR = 0.76, 95% CI 0.65-0.90 for 6-8 years of schooling; OR = 0.68, 95% CI 0.57-0.82 for 9 years or more). This study shows differences in the prevalence of osteoporosis among educational classes and the protective role played by increases in formal education. If these results are confirmed in other population studies, public health intervention programs will have to consider the socioeconomic and cultural background of the population strata that run a greater risk of osteoporosis.

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Year:  1999        PMID: 10450413     DOI: 10.1007/s001980050143

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  43 in total

1.  Hip fracture and other predictors of anti-osteoporosis drug use in Norway.

Authors:  H M Devold; A J Søgaard; A Tverdal; J A Falch; K Furu; H E Meyer
Journal:  Osteoporos Int       Date:  2012-07-10       Impact factor: 4.507

2.  The effect of socioeconomic status on bone density testing in a public health-care system.

Authors:  S Demeter; W D Leslie; L Lix; L MacWilliam; G S Finlayson; M Reed
Journal:  Osteoporos Int       Date:  2006-09-20       Impact factor: 4.507

3.  Anthropometric and lifestyle associations of bone mass in healthy pre-menopausal Mexican and Asian American women.

Authors:  Noe C Crespo; Eun Jung Yoo; Steven A Hawkins
Journal:  J Immigr Minor Health       Date:  2011-02

4.  Determinants of bone mineral density, bone mineral content, and body composition in a cohort of healthy children: influence of sex, age, puberty, and physical activity.

Authors:  Emanuele Ausili; Donato Rigante; Elio Salvaggio; Benedetta Focarelli; Claudia Rendeli; Valentina Ansuini; Valentina Paolucci; Silvia Triarico; Lucilla Martini; Paolo Caradonna
Journal:  Rheumatol Int       Date:  2011-08-02       Impact factor: 2.631

5.  Associations between adverse social position and bone mineral density in women aged 50 years or older: data from the Manitoba Bone Density Program.

Authors:  S L Brennan; W D Leslie; L M Lix
Journal:  Osteoporos Int       Date:  2013-02-22       Impact factor: 4.507

6.  Educational level and osteoporosis risk in postmenopausal Moroccan women: a classification tree analysis.

Authors:  Fadoua Allali; Samira Rostom; Loubna Bennani; Redouane Abouqal; Najia Hajjaj-Hassouni
Journal:  Clin Rheumatol       Date:  2010-07-30       Impact factor: 2.980

7.  Hip fracture risk among community-dwelling elderly people in the United States: a prospective study of physical, cognitive, and socioeconomic indicators.

Authors:  Robin Taylor Wilson; Gary A Chase; Elizabeth A Chrischilles; Robert B Wallace
Journal:  Am J Public Health       Date:  2006-05-30       Impact factor: 9.308

8.  The contributions of First Nations ethnicity, income, and delays in surgery on mortality post-fracture: a population-based analysis.

Authors:  W D Leslie; S L Brennan; H J Prior; L M Lix; C Metge; B Elias
Journal:  Osteoporos Int       Date:  2012-08-08       Impact factor: 4.507

9.  Age at natural menopause and risk of ischemic stroke: the Framingham heart study.

Authors:  Lynda D Lisabeth; Alexa S Beiser; Devin L Brown; Joanne M Murabito; Margaret Kelly-Hayes; Philip A Wolf
Journal:  Stroke       Date:  2009-02-20       Impact factor: 7.914

10.  The correlation of osteoporosis to clinical features: a study of 4382 female cases of a hospital cohort with musculoskeletal symptoms in southwest China.

Authors:  Shasha Li; Hongchen He; Mingfu Ding; Chengqi He
Journal:  BMC Musculoskelet Disord       Date:  2010-08-16       Impact factor: 2.362

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