• Tuberculosis and Respiratory Diseases
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• v.66 no.3
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• pp.186-191
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• 2009

Background: Osteoporosis is a significant comorbidity in patients with chronic obstructive pulmonary disease (COPD). This study examined the prevalence and risk factors associated with osteoporosis in patients with COPD. Methods: The bone mineral densities (BMDs) of the lumbar spine and femoral bone were measured in 53 patients with clinically stable COPD and 41 age- and gender-matched control subjects showing a normal lung function. Osteoporosis was defined as a T-score $\leq$-2.5. The subjects' clinical characteristics and laboratory data were reviewed, and multiple logistic regression analysis was used to identify the risk factors associated with osteoporosis in COPD patients. Results: The prevalence of osteoporosis was 47% and 32% in the COPD patients and controls, respectively. In particular, using the femoral neck T-score, the prevalence of osteoporosis in COPD patients was higher than that in the controls (26% vs. 5%; p=0.006). The average T-score of the lumbar spine (p=0.025) and femoral neck of COPD patients were significantly lower than those of the controls (p=0.001). The forced expiratory volume in the 1 second ($FEV_1$) % predicted (p=0.019; odds ratio [OR], 0.955; 95% confidence interval [CI], 0.919-0.993) and age (p=0.024; OR, 1.144; 95% CI, 1.018-1.287) were independently associated with osteoporosis in patients with COPD. Conclusion: Using the femoral neck T-score, the prevalence of osteoporosis in patients with COPD was higher than the age-and gender-matched controls. A lower $FEV_1$ and older age further increase the risk of osteoporosis in patients with COPD.

• Journal of Periodontal and Implant Science
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• v.39 no.4
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• pp.413-423
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• 2009

Purpose: The presented study aims to evaluate the effects of osteoporosis on dental implants by analyzing a 12-year cumulative survival rate of implants placed in patients with osteoporosis. Methods: 37 patients with history of osteoporosis were selected from a pool of dental implant patients treated at the Department of Periodontology in Yonsei University Hospital between 1993 and 2007. The cumulative survival rate is quantified using data collected from 164 placed implants in the selected 37 patients. Results: 3 out of the 164 implants failed and the cumulative survival rate was observed at 95.1%. The survival rates of the implants according to patients' age were 97.41% (<60) and 100% ($60\leq$). The lower survival rate was directly proportional to younger age, and this relationship is statistically significant (P<0.05). The survival rates of implants according to diagnostic criteria were 95.45% (osteopenia) and 98.59% (osteoporosis; 2 out of 142 implants placed in osteoporosis patients failed). The difference in the two survival rates is statistically significant (P<0.05). The survival rates according to the region of implants do not have statistically significant difference. The survival rates according to the different length and diameter of the implants do not have statistically significant difference. The survival rates of implants accompanied and not accompanied by bone augmentation were 92.11% and 100%, respectively. The difference in the two survival rates is statistically significant (P<0.05). The survival rates of implants placed in patients with and without history of medication for osteoporosis treatment are 96.67% and 99.04%, respectively. The difference in the two survival rates is statistically significant (P<0.05). Conclusions: A high cumulative survival rate of dental implants, similar to one found in non-osteoporosis patients, is observed in osteoporosis patients, indicating the possibility that placing dental implants on patients with osteoporosis can be considered with high treatment predictability.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.8 no.2
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• pp.67-78
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• 2013

Objectives : The present study examines the domestic trend of Osteoporosis studies in Korea. Method : We reviewed oriental medicine papers published in last ten years (2003-2012). Korean literature search was used for domestic Internet search portal. 'Naver specialized information retrieval', 'Korea Traditional Knowledge Portal', 'Korea Medical Information Portal (OASIS)',' Scientific and Technological Information Integration Services (NDSL)',' Academic Research Information Service (RISS)'as the primary destination of the search were. Since 2003 until 2012, the thesis o'f osteoporosis'and found 92 papers with the search term '(golwi)' to the search terms found in 3 papers Korean medical target of on going research trends in osteoporosis about investigated. Results : 1. We researched 95 papers in 15 journals and patterns of study were as follows : experimental studies were 79(83%), clinical studies were 12(13%), reviewed studies were 3(3%) and etc. were 1(1%). 2. The experimental studies(79) were divided into papers on efficiency testing of herbal medications(67) and herbal acupuncture(12). 3. The clinical studies(12) showed that research has been carried out in the fields of follow up surveys for the herbal medication efficiency testing, basic research, case report, the relativity of osteoporosis to age and sex, and the perception about osteoporosis and korean medicine treatment. 4. The reviewed studies showed that research has been carried out in the fields of osteoporosis about acient literature and domestic studies about herbal medication of osteoporosis. Conclusion : Reviewing the domestic trend of Osteoporosis studies and examining the strong and weak points of those treatments are essential for the future studies. It is anticipated that this review benefits the future in-depth study on the treatments for osteoporosis in Korean medicine.

• Imaging Science in Dentistry
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• v.35 no.1
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• pp.41-46
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• 2005

Purpose : The purpose of this study was to investigate whether the fractal dimension and radiographic image brightness of periapical radiograph were useful in predicting osteoporosis. Materials and Methods : Ninety-two postmenopausal women were classified as normal, osteopenia and osteoporosis group according to the bone mineral density of lumbar vertebrae and periapical radiographs of both mandibular molar areas were taken. The ROIs of 358 areas were selected at periapical and interdental areas and fractal dimension and radiographic image brightness were measured. Results : The fractal dimension in normal group was significantly higher than that in osteoporosis group at periapical ROI (P < 0.05). The radiographic image brightness in normal group was higher than that in osteopenia and osteoporosis group. There was significant difference not only between normal and osteopenia group (P < 0.05) but also within osteopenia and osteoporosis group (P< 0.01) at periapical ROI. Significant difference was observed not only between normal and osteopenia group but also between normal and osteoporosis group at interdental ROI (P< 0.01). Positive linear relationship was weakly shown at Pearson correlation analysis between fractal dimension and radiographic image brightness. BMD significantly correlated with fractal dimension at periapical ROI (P< 0.01), and BMD and radiographic image brightness significantly correlated at both periapical and interdental ROIs (P< 0.01). Conclusion : This study suggests that the fractal dimension and radiographic image brightness of periapical ROI may predict BMD. (Korean J Oral Maxillofac Radiol 2005: 35 : 41-6)

• Korean Journal of Health Education and Promotion
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• v.25 no.5
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• pp.53-64
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• 2008

Aims. The aims of this study were to identify the prevalence of osteoporosis and confirm the priority for health promotion program on the osteoporosis. Methods. 1,269 adults aged 18-84 years participated in this study from the Ansan Health Study sample. A questionnaire was used to evaluate the risk factors, and a Dual Energy X-ray Absorptiometry was used to measure the bone mineral density in the anteroposterior lumbar spine and femur. Collected data were analyzed using the SPSS 12.0 program. Results. BMD was decreased rapidly in females in their 50s and 60s and the overall incidence of osteoporosis based on the femur and the lumbar spine was 0.8% and 6.3% for males and 0.9% and 7.1% for females. Osteoporosis knowledge was significantly correlated with BMD. Conclusions. The results of this study can be applied to provide effective and practical implementation guidelines for osteoporosis prevention program.

• Research in Community and Public Health Nursing
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• v.14 no.2
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• pp.253-262
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• 2003

Purpose: This study was carried out to identify factors influencing osteoporosis in women at pre- and post-menopausal state. Methods: The subjects of this study were 52 pre-menopausal and 125 post-menopausal women who were assessed of bone density in one general hospital. The data were collected through review of clinical records and telephone interviews using a questionnaire. Results: In the pre-menopausal women, the factors influencing osteoporosis were regular exercise (protective factor) and age (risk factor). Regression analysis showed that the factors attributable to osteoporosis included educational level, weight, age and number of pregnancy, accounted for 41.89% of the total variance. In the post-menopausal women. the factors influencing osteoporosis were age (risk factor), low educational level (risk factor), low economical state (risk factor), high parity (risk factor), and intake of coffee (protective factor). Regression analysis also showed that factors attributable to their osteoporosis included age, educational level, number of delivery, intake of the coffee, regular exercise, number of pregnancy and duration of oral pill intake, accounted for 37.41 % of the total variance. Conclusion: In pre-menopausal women, regular exercise was one of the most powerful determinant of their bone mass. Therefore, it is necessary to participate in a regular exercise program to maintain peak bone mass density prior to the onset of menopause. In post-menopausal women, increased age was the most influencing factor of their bone mass. Therefore, it is essential to establish early diagnosis and management of osteoporosis after menopause.

• Korean Journal of Community Nutrition
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• v.18 no.3
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• pp.269-282
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• 2013

This study was carried out to investigate bone mineral density (BMD), blood pressure, calcium, sodium intake and related biochemical variables, and to analyze the relationship between BMD, and blood pressure, physical characteristics, nutrient intakes of Korean adult women. The study subjects were 30~80years old, 513 women living in Seoul and Kyunggi area who participated in 2011 KNHANES. The study subjects were divided into three BMD groups; normal, n = 259 (50.4%), osteopenia, n = 169 (32.9%), and osteoporosis, n = 85 (16.7%). Average height and weight and fat free mass decreased with a decrease in BMD. Average BMD of normal, osteopenia, osteoporosis were 0.87, 0.79, $0.70g/cm^2$, and T-score were 0.42, -0.66, -1.62, respectively. Higher systolic blood pressure, alkaline phosphatase, and triglyceride were significantly associated with a decrease in the BMD. The rates of hypertension were significantly increased from normal to osteoporosis. i.e. 18.5% in normal, 34.3% in osteopenia and 63.5% in osteoporosis. Average nutrientintakes such as protein, fat, calcium, phosphorus, iron, sodium, potassium, vitamin A, vitamin B, vitamin B2, and vitamin C were significantly lower in subjects with lower BMD.n. Average calcium intake of normal, osteopernia and osteoporosis were 528.50, 416.96, 389.56 mg, respectively. There were significant negative correlations between calcium, phosphorus and age, systolic blood pressure, triglyceride. Also, there were negative correlation systolic blood pressure (incomplete sentence). In this study, we found low BMD according to low calcium intake increase the risk of osteoporosis and hypertension rather than sodium intake, also calcium intake decreased with increase age. Therefore, in order to prevent osteoporosis and hypertension, subjects need to be educated regarding the importance of calcium nutrients in diet.

• Biomedical Science Letters
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• v.21 no.4
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• pp.181-187
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• 2015

Osteoporosis is one of the diseases caused by accumulation of effects from complex interactions between genetic and environmental factors. Aging is the major cause for osteoporosis, which normally increases skeletal fragility and bone fracture especially among the elder. "Omics" refers to a specialized research field dealing with high-throughput biological data, such as genomics, transcriptomics, proteomics or metabolomics. Integration of data from multi-omics has been approved to be a powerful strategy to colligate biological phenomenon with multiple aspects. Actually, integrative analyses of "omics" datasets were used to present pathogenesis of specific diseases or casual biomarkers including susceptible genes. In this study, we evaluated the proposed relationship of novel susceptible genes (TREML2, HTR1E, and GLO1) with osteoporosis, which genes were obtained using multi-omics integration analyses. To this end, SNPs of the susceptible genes in the Korean female cohort were analyzed. As a result, one SNP of HTR1E and five SNPs of TREML2 were identified to associate with osteoporosis. The highest significant SNP was $rs6938076^*$ of TREML2 (OR=0.63, CI: 0.45~0.89, recessive P=0.009). Consequently, the susceptible genes identified through the multi-omics analyses were confirmed to have association with osteoporosis. Therefore, multi-omics analysis might be a powerful tool to find new genes associated with a disease. We further identified that TREML2 has more associated with osteoporosis in females than did HTR1E.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4743-4750
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• 2013

Background: Identifying and managing osteoporosis among cancer survivors is an important issue, yet little is known about the bone health of cancer survivors in Korea. This study was designed to measure the prevalence of osteoporosis and to assess related factors among Korean cancer survivors. Materials and Methods: This study was designed as a cross-sectional analysis. Data were obtained from dual energy X-ray absorptiometry measurement of the lumbar vertebrae and femoral neck, and from standardized questionnaires among 556 cancer survivors and 17,623 non-cancer controls who participated in the Fourth and Fifth Korea National Health and Nutrition Examination Surveys (2008-2011). We calculated adjusted proportions of osteoporosis in non-cancer controls vs. cancer survivors, and we performed multivariate logistic regression analysis. Results: The prevalence of osteoporosis among cancer survivors was significant higher than that of the non-cancer controls after adjusting for related factors. Furthermore, osteoporosis among cancer survivors was higher in elderly subjects (60-69 years : adjusted odds ratio (aOR) 3.04, 95% CI : 1.16-8.00, ${\geq}70$ years : aOR 6.60, 95% CI 2.20-19.79), in female cancer survivors (aOR: 7.03, 95% CI: 1.88-26.28), and in a group with lower monthly income (aOR: 3.38, 95% CI: 1.31-8.71). In male cancer survivors, underweight and lower calcium intake were risk factors. Conclusions: These data suggest that the osteoporosis among cancer survivors varies according to non-oncologic and oncologic factors. Effective screening should be applied, and a sufficient and comprehensive management should be matched to individual cancer survivors early after cancer treatment.

• Journal of International Academy of Physical Therapy Research
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• v.6 no.1
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• pp.828-832
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• 2015

The purpose of this study was to investigate the relationship the quality of life, osteoarthritis and osteoporosis in the Republic of Korea. This study was utilized raw data from the 2010 KCHS. In total, 229,229 individuals participated in the 2010 survey. The final analysis was identified 22,545 individuals who had been diagnosed by a doctor with arthritis or osteoporosis. To identify the relationship between the quality of life - related after treated or treating of arthritis, osteoporosis, A multiple linear regression analysis was performed. Treating group for osteoarthritis of their quality of life has statistically been less than after treated group(B=-.068, p<.001). Treating group for osteoporosis of their quality of life has statistically been less than after treated group(B=-.083, p<.001). Non-treatment group who was diagnosed by doctor, but no treated subject for osteoarthritis of their quality of life has statistically been less than after treated group(B=-.075, p<.001). Non-treatment group that was diagnosed by doctor, but no treated subject for osteoporosis of their quality of life has statistically been less than after treated group(B=-.045, p<.001). Non-treatment group who was diagnosed by doctor, but no treated subject for osteoporosis and arthritis of their quality of life has statistically been less than after treated group(B=-.0121, p<.001). as a result of those data, we understand that the decision maker for treatment has been chosen by quality of life, including pain, mobility activity and so on.