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Factors Associated with Bone Mineral Density in Korean Postmenopausal Women Aged 50 Years and Above: Using 2008-2010 Korean National Health and Nutrition Examination Survey
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Original Article
Factors Associated with Bone Mineral Density in Korean Postmenopausal Women Aged 50 Years and Above: Using 2008-2010 Korean National Health and Nutrition Examination Survey
Son-Ok Mun, Jihye Kim, Yoon Jung Yang
Korean Journal of Community Nutrition 2013;18(2):177-186.
DOI: https://doi.org/10.5720/kjcn.2013.18.2.177
Published online: April 30, 2013

Department of Obesity Management, Dongduk Women's University, Seoul, Korea.

1Department of Clinical Nutrition, Dongduk Women's University, Seoul, Korea.

2Department of Food & Nutrition, Dongduk Women's University, Seoul, Korea.

Corresponding author: Yoon Jung Yang, Department of Food and Nutrition, Dongduk Women's University, Seoul 136-714, Korea. Tel: (02) 940-4465, Fax: (02) 940-4193, yjyang@dongduk.ac.kr
• Received: January 16, 2013   • Revised: February 13, 2013   • Accepted: March 28, 2013

Copyright © 2013 The Korean Society of Community Nutrition

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  • The purpose of this study was to investigate factors associated with Bone Mineral Density (BMD) in Korean postmenopausal women. The data from 2008-2010 Korean National Health and Nutrition Examination Survey (KNHANES) were used for data analysis. Subjects were 2,701 postmenopausal women aged ≥ 50 years. BMDs at whole body, total femur, femoral neck, and lumbar spine were measured by Dual-energy X-ray absorptiometry (DXA). Dietary data from 24-hour dietary recall and a food frequency questionnaire containing 63 food items were used. The proportions of osteopenia at total femur, femoral neck, and lumbar spine were 37.4%, 54.5%, and 45.4%, respectively. The proportions of osteoporosis at total femur, femoral neck, and lumbar spine were 6.2%, 25.6%, and 34.3%, respectively. Age, anthropometric index including height, weight, and Body Mass Index (BMI), parathyroid hormone, and physical activity were related to BMD, but the relationships were site specific. Total femur BMD was explained by age, weight, parathyroid hormone and intakes of carbohydrate and fruits. Femoral neck BMD was related to age, weight, parathyroid hormone and intakes of riboflavin and fruits. Lumbar spine BMD was associated with age, weight, milk and dairy products, calcium intake, and exercise. These results indicated that adequate intakes of milk and dairy products, fruits, carbohydrate, calcium, riboflavin and exercise as well as weight maintenance might play an important role in maintaining optimum bone health in Korean postmenopausal women.
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Fig. 1
Distribution of osteopenia and osteoporosis among study subjects.
kjcn-18-177-g001.jpg
Table 1
General characteristics of postmenopausal women by bone health status
kjcn-18-177-i001.jpg

1) P-values by one-way ANOVA for continuous variables and chi-square test for categorical variables

2) Values with different superscript letters within a row are significantly different means, based on one-way ANOVA followed by Scheffe's post hoc comparison test

Table 2
Pearson correlation coefficients between factors and bone mineral density in each site
kjcn-18-177-i002.jpg

1) Pearson correlation coefficient

Table 3
Partial correlation coefficients between nutrient intake and bone mineral density in each site
kjcn-18-177-i003.jpg

1) Adjusted for age, weight, exercise, smoking, alcohol drinking and dietary supplements

2) Adjusted for age, weight, exercise, parathyroid hormone, smoking, alcohol drinking and dietary supplements

3) Adjusted for age, weight, smoking, alcohol drinking and dietary supplements

Table 4
Partial correlation coefficients between food consumption frequency and bone mineral density in each site
kjcn-18-177-i004.jpg

1) Adjusted for age, weight, exercise, smoking, alcohol drinking and dietary supplements

2) Adjusted for age, weight, exercise, parathyroid hormone, smoking, alcohol drinking and dietary supplements

3) Adjusted for age, weight, smoking, alcohol drinking and dietary supplements

Table 5
Stepwise multiple regression analysis of several variables on bone mineral density in each site1)
kjcn-18-177-i005.jpg

1) Dependent variable was bone mineral density in each site. Independent variables were, age, weight, parathyroid hormone, exercise, intakes of energy, protein, carbohydrate, fiber, calcium, phosphorus, potassium, vitamin A, riboflavin, niacin, and MAR, and frequencies of meats and eggs, fruits, milk and dairy products, and fast foods. The entry point of the stepwise method was 0.05, and the removal point was 0.10

Figure & Data

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      Factors Associated with Bone Mineral Density in Korean Postmenopausal Women Aged 50 Years and Above: Using 2008-2010 Korean National Health and Nutrition Examination Survey
      Korean J Community Nutr. 2013;18(2):177-186.   Published online April 30, 2013
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    Factors Associated with Bone Mineral Density in Korean Postmenopausal Women Aged 50 Years and Above: Using 2008-2010 Korean National Health and Nutrition Examination Survey
    Image
    Fig. 1 Distribution of osteopenia and osteoporosis among study subjects.
    Factors Associated with Bone Mineral Density in Korean Postmenopausal Women Aged 50 Years and Above: Using 2008-2010 Korean National Health and Nutrition Examination Survey

    General characteristics of postmenopausal women by bone health status

    1) P-values by one-way ANOVA for continuous variables and chi-square test for categorical variables

    2) Values with different superscript letters within a row are significantly different means, based on one-way ANOVA followed by Scheffe's post hoc comparison test

    Pearson correlation coefficients between factors and bone mineral density in each site

    1) Pearson correlation coefficient

    Partial correlation coefficients between nutrient intake and bone mineral density in each site

    1) Adjusted for age, weight, exercise, smoking, alcohol drinking and dietary supplements

    2) Adjusted for age, weight, exercise, parathyroid hormone, smoking, alcohol drinking and dietary supplements

    3) Adjusted for age, weight, smoking, alcohol drinking and dietary supplements

    Partial correlation coefficients between food consumption frequency and bone mineral density in each site

    1) Adjusted for age, weight, exercise, smoking, alcohol drinking and dietary supplements

    2) Adjusted for age, weight, exercise, parathyroid hormone, smoking, alcohol drinking and dietary supplements

    3) Adjusted for age, weight, smoking, alcohol drinking and dietary supplements

    Stepwise multiple regression analysis of several variables on bone mineral density in each site1)

    1) Dependent variable was bone mineral density in each site. Independent variables were, age, weight, parathyroid hormone, exercise, intakes of energy, protein, carbohydrate, fiber, calcium, phosphorus, potassium, vitamin A, riboflavin, niacin, and MAR, and frequencies of meats and eggs, fruits, milk and dairy products, and fast foods. The entry point of the stepwise method was 0.05, and the removal point was 0.10

    Table 1 General characteristics of postmenopausal women by bone health status

    1) P-values by one-way ANOVA for continuous variables and chi-square test for categorical variables

    2) Values with different superscript letters within a row are significantly different means, based on one-way ANOVA followed by Scheffe's post hoc comparison test

    Table 2 Pearson correlation coefficients between factors and bone mineral density in each site

    1) Pearson correlation coefficient

    Table 3 Partial correlation coefficients between nutrient intake and bone mineral density in each site

    1) Adjusted for age, weight, exercise, smoking, alcohol drinking and dietary supplements

    2) Adjusted for age, weight, exercise, parathyroid hormone, smoking, alcohol drinking and dietary supplements

    3) Adjusted for age, weight, smoking, alcohol drinking and dietary supplements

    Table 4 Partial correlation coefficients between food consumption frequency and bone mineral density in each site

    1) Adjusted for age, weight, exercise, smoking, alcohol drinking and dietary supplements

    2) Adjusted for age, weight, exercise, parathyroid hormone, smoking, alcohol drinking and dietary supplements

    3) Adjusted for age, weight, smoking, alcohol drinking and dietary supplements

    Table 5 Stepwise multiple regression analysis of several variables on bone mineral density in each site1)

    1) Dependent variable was bone mineral density in each site. Independent variables were, age, weight, parathyroid hormone, exercise, intakes of energy, protein, carbohydrate, fiber, calcium, phosphorus, potassium, vitamin A, riboflavin, niacin, and MAR, and frequencies of meats and eggs, fruits, milk and dairy products, and fast foods. The entry point of the stepwise method was 0.05, and the removal point was 0.10


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