Objective: Introduction: Osteoporosis is chronic metabolic disease of the bone-joint system and it is increase risk of bone fractures and mortality. The effect of postmenopausal hormonal changes can be the adipose tissue gain along. Osteoporosis and decreased BMD in women with menopause can be a result of the change of body mass. Previous studies have demonstrated protective effect of high values of BMI on the bone tissue, may be which protect against osteoporosis. The aim: The assessment of BMD in a connection with the body mass index BMI in women with postmenopausal osteoporosis.
Patients And Methods: Materials and methods: The researches have been conducted on 120 selected postmenopausal women who were diagnosed with osteoporosis after analysis of the risk factors and carrying out the bone densitometry test - DXA method. The patients were divided into three research groups each comprising with 40 persons, depending on the body mass index BMI.. The first group were postmenopausal women with osteoporosis and with the value of BMI 18-24.9,indicating normal range; second group were postmenopausal women with osteoporosis with the value of BMI 25-29.9,indicating overweight and the third group were postmenopausal women with osteoporosis with the value BMI 30-34.9, indicating obesity.
Results: Results: In the group of postmenopausal women with osteoporosis with a BMI value corresponding to obesity, the mean BMD was 0.82 g/cm2. In the overweight and normal body mass index group there were no statistically significant differences in the values obtained, which are 0.78 and 0.79 g/cm2, respectively. The correlation analysis showed a statistically significant positive relationship - the increase in BMI was accompanied by the increasing BMD in the entire study population. The T-score in the densitometric study in relation to BMD was the lowest in people with normal BMI and comparable in the overweight group, while the highest in obese women.
Conclusion: Conclusions: Of the results of the research: postmenopausal women with osteoporosis confirmed the relationship that there are higher BMD values with increasis BMI values. From the other side owerweight and obesity may determine an intensification of osteoporosis in postmenopausal women.
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Circ Res
January 2025
Department of Integrative Physiology, University of Colorado Boulder (S.D., K.O.M., K.R.L., K.H.A., D.H.C., K.A.F., D.R.S., M.J.R.).
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Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Background/aims: Evidence regarding the long-term association between hemoglobin (Hb) levels and lung function in individuals from the general population is scarce. This study aimed to determine the longitudinal association between Hb levels and lung function in a community-based population cohort in South Korea.
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Bone
January 2025
Molecular Endocrinology Laboratory (KMEB), Department of Endocrinology, Odense University Hospital, DK-5000 Odense C, Denmark; Steno Diabetes Centre Odense, Odense University Hospital, DK-5000 Odense C, Denmark.
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January 2025
Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Québec city, Québec, Canada. Electronic address:
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January 2025
Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
This study aimed to establish the optimal cut-off values for urinary cotinine and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL)to determine smoking status in Korean women over 20 years of age and to assess the correlation of these biomarkers with reproductive health, particularly menopausal age, in postmenopausal women. Utilizing data from the 7th edition of the Korea National Health and Nutrition Examination Survey (2016- 2018), researchers included postmenopausal women aged 40-60 years who were within 5 years of menopause. Self-reported smoking status was aligned with biomarkers levels to calculate optimal cut-off values, classifying a total of 503 postmenopausal women into four groups: never smokers (cotinine <0.
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