Clinical practice guidelines on postmenopausal osteoporosis: *An executive summary and recommendations – Update 2019–2020

Meeta, Meeta; Harinarayan, CV; Marwah, R K; Sahay, Rakesh; Kalra, Sanjay; Babhulkar, Sudhir

doi:10.4103/jmh.jmh_143_20

Cited by 26 publications

(30 citation statements)

References 71 publications

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“…Therefore, the purpose of this study was to: (1) calculate the prevalence and diagnosis rates of osteoporosis in menopausal women aged ≥50 years and compare them according to urban and rural areas; (2) determine the difference between the prevalence and diagnosis rate of osteoporosis among basic livelihood beneficiaries living in urban and rural areas;…”

Section: Introductionmentioning

confidence: 99%

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Influence of Residence Area and Basic Livelihood Conditions on the Prevalence and Diagnosis Experience of Osteoporosis in Postmenopausal Women Aged over 50 Years: Evaluation Using Korea National Health and Nutrition Examination Survey Data

Kang

Yang

Shin

et al. 2021

IJERPH

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Patients with osteoporosis are asymptomatic and are at risk for fractures. Therefore, early detection and interventions are important. We found that a population with a low socioeconomic status living in rural areas was reported to have a high osteoporosis prevalence but a relatively low diagnosis rate. Research on the disparity of osteoporosis prevalence and treatment from the socioeconomic perspective was conducted. This study aimed to investigate the influence of residence area and basic livelihood conditions on osteoporosis prevalence and diagnosis in postmenopausal women aged over 50 years. The cross-sectional data of 1477 postmenopausal women aged over 50 years obtained from the Korea National Health and Nutrition Examination Survey V-2 were analyzed. Univariate analyses were performed to calculate the prevalence and diagnosis rate according to risk factor categories. A multivariate logistic regression analysis was performed to identify the influence of residence area and basic livelihood conditions after controlling for other factors. The osteoporosis prevalence in basic livelihood beneficiaries (53.7%) and rural area residents (41.9%) was higher than that in non-beneficiaries (33.1%) and urban area residents (31.8%). There was no significant difference in the diagnosis rates in relation to the basic livelihood conditions or residence areas. The adjusted odds ratio for the prevalence among the beneficiaries living in rural areas was 2.08 (95% confidence interval: 1.06–4.10). However, the odds ratio for diagnosis was not significantly different. Earlier screening examination policies for osteoporosis in postmenopausal women with a low socioeconomic status living in rural areas are needed.

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Section: Introductionmentioning

confidence: 99%

“…Osteoporosis is a systemic skeletal disease characterized by low bone quality owing to various causes [ 1 , 2 ]. The prevalence of osteoporosis in women aged >50 years has been reported to be 35.5% in Korea [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Influence of Residence Area and Basic Livelihood Conditions on the Prevalence and Diagnosis Experience of Osteoporosis in Postmenopausal Women Aged over 50 Years: Evaluation Using Korea National Health and Nutrition Examination Survey Data

Kang

Yang

Shin

et al. 2021

IJERPH

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“…According to the World Health Organization (WHO), osteopenia or osteoporosis is defined as a progressive disease of the skeleton characterized by low bone mass and micro-architectural deterioration of bone tissue, resulting in an increased risk of fragility fractures [ 7 ]. Osteoporosis is a defect of bone metabolism.…”

Section: Introductionmentioning

confidence: 99%

“…The major risk factors for osteoporosis, as defined by the WHO, include aging, low body mass index (BMI), history of fracture, parental history of hip fracture, smoking, alcohol consumption, use of glucocorticoids, and rheumatoid arthritis [ 7 ]. Environmental factors include inadequate nutrition, limited physical activity and exposure to sunlight, and risk of falls [ 7 ]. Of the many risk factors, aging has been reported as the strongest risk factor, with older women in particular being in the high-risk group [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

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Relationship between Oral Health Status and Bone Mineral Density in Community-Dwelling Elderly Individuals: A Cross-Sectional Study

et al. 2021

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The relationship between oral health status and bone mineral density has been poorly elucidated. We conducted a cross-sectional study to examine the relationship between oral health status and bone mineral density with data from healthy community-dwelling elderly individuals in Ohnan-cho, Shimane Japan who were recruited in 2019 for the Shimane Center for Community-Based Health Research and Education (CoHRE) study. The study included 702 participants (306 men and 396 women). The median age, bone mineral density, and number of remaining teeth were 69.0 years, 86.2%, and 26.0, respectively. The two groups (Low teeth group and High teeth group) showed significant differences in age, hemoglobin A1c (HbA1c) level, and masticatory function in men (p < 0.05). In women, age, number of untreated teeth, and masticatory function were significantly different (p < 0.05). The odds ratio of propensity score analysis for the association between the number of remaining teeth and bone mineral density was 27.7 (95% confidence interval: 1.86–414.9, p < 0.05). The number of remaining teeth could be associated with bone mineral density in the healthy elderly women, and no significant association was observed in men. Number of remaining teeth and bone mineral density may be interrelated, and oral care by dentists/dental hygienists may play an important role in maintaining bone mineral density in elderly women.

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Diagnosis and therapeutic approach to bone health in patients with hypopituitarism

Kuliczkowska-Płaksej,

Zdrojowy-Wełna,

Jawiarczyk-Przybyłowska

et al. 2024

Rev Endocr Metab Disord

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Clinical practice guidelines on postmenopausal osteoporosis: *An executive summary and recommendations – Update 2019–2020

Cited by 26 publications

References 71 publications

Influence of Residence Area and Basic Livelihood Conditions on the Prevalence and Diagnosis Experience of Osteoporosis in Postmenopausal Women Aged over 50 Years: Evaluation Using Korea National Health and Nutrition Examination Survey Data

Influence of Residence Area and Basic Livelihood Conditions on the Prevalence and Diagnosis Experience of Osteoporosis in Postmenopausal Women Aged over 50 Years: Evaluation Using Korea National Health and Nutrition Examination Survey Data

Relationship between Oral Health Status and Bone Mineral Density in Community-Dwelling Elderly Individuals: A Cross-Sectional Study

Diagnosis and therapeutic approach to bone health in patients with hypopituitarism

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