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. 2020 Jul 31;10(3):77.
doi: 10.3390/jpm10030077.

The Risk of Osteoporotic Forearm Fractures in Postmenopausal Women in a Siberian Population Sample

Affiliations

The Risk of Osteoporotic Forearm Fractures in Postmenopausal Women in a Siberian Population Sample

Elena Mazurenko et al. J Pers Med. .

Abstract

The reduction in bone and muscle mass increases in menopausal women and poses a threat to the loss of self-dependence in the elderly. The aim of the study was to assess the frequency of osteoporotic forearm fractures (OFF) in postmenopausal women and to study their association with risk factors for chronic non-communicable diseases (NCD). The study was based on the Russian arm of the Health, Alcohol and Psychosocial Factors In Eastern Europe (HAPIEE) project (Novosibirsk). In a subsample of postmenopausal women aged 55-84 years old (n = 2005), we assessed the history of OFF during the last 3 years and risk factors for fracture and common NCD/. Cross-sectional associations between OFF history and potential determinants were analyzed using multivariable-adjusted logistic regression. A history of OFF in the last 3 years was found in 3.9% women. In a multivariable-adjusted model, the risk of OFF was directly associated with smoking in the past (OR = 2.23; 95% Cl 1.10-4.55), total cholesterol level higher than 200 mg/dL (OR = 1.98; 95% Cl 1.19-3.29), and it was inversely associated with body mass index (OR = 0.91; 95% Cl 0.86-0.96). In studied population sample of postmenopausal women the cross-sectional determinants of osteoporotic forearm fractures were smoking in the past and high total cholesterol value; body mass index protectively related to the risk of osteoporotic fractures. These findings might have implications for fracture prevention in postmenopausal women.

Keywords: chronic non-communicable diseases; fracture; menopause; osteoporosis; population; risk factors.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure A1
Figure A1
The results of a logistic regression analysis of the relationship OFF over the past 3 years and studied risk factors. Model 1—age-adjusted. Model 2 adjusted for age, DM2, BMI, smoking, duration of menopause, physical performance. Model 3 adjusted for age, DM2, smoking, physical performance, total cholesterol.
Figure A1
Figure A1
The results of a logistic regression analysis of the relationship OFF over the past 3 years and studied risk factors. Model 1—age-adjusted. Model 2 adjusted for age, DM2, BMI, smoking, duration of menopause, physical performance. Model 3 adjusted for age, DM2, smoking, physical performance, total cholesterol.

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