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The Factors Influencing the Bone Mineral Density in Korean Adult Men : Based on Korea National Health and Nutrition Examination Survey 2010~2011 Data


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The Factors Influencing the Bone Mineral Density in Korean Adult Men : Based on Korea National Health and Nutrition Examination Survey 2010~2011 Data

Article information

Korean J Community Nutr. 2017;22(2):136-144
Publication date (electronic) : 2017 April 30
doi : https://doi.org/10.5720/kjcn.2017.22.2.136
Hye-Sang Leeorcid_icon
Department of Food and Nutrition, Andong National University, Andong, Korea.
Corresponding author: Hye-Sang Lee. Department of Food and Nutrition, Andong National University, 1375 Gyeongdongro, Andong 36729, Korea. Tel: (054) 820-5493, Fax: (054) 823-1625, hslee@anu.ac.kr
Received 2017 February 27; Revised 2017 April 12; Accepted 2017 April 12.

Abstract

Objectives

The purpose of this study was to determine which factors influence the bone mineral density (BMD) of total femur (TF), femoral neck (FN) and lumbar spine (LS) of the adult men by analyzing nationally representative Korean survey data.

Methods

This study was conducted based on the data of 1,770 men aged 19-64 years from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V), 2010~2011. The BMD was analyzed by various factors (general characteristics, anthropometric data, health habits, chronic diseases, nutrient intake status). SPSS statistics for complex samples was used to analyze the data.

Results

We observed that the BMD decreased significantly with aging. The BMD in each of the second lowest quartile of waist circumference (in TF & FN) and body mass index (in TF & LS) was lower than the respective BMD in the highest quartile group. The BMD in FN was higher in the group who reported the weight training. The BMD in LS was lower in hypercholesterolemia group than in the normal group. The BMD in TF, FN and LS was lower in hypertriglyceridemia group and in diabetes group than in the normal group. The BMD in TF, FN and LS was higher in the group with < Estimated Average Requirement iron intake. But there was no evidence to suggest that the BMD was related with educational level, income level, smoking, alcohol intake, anemia and nutrient intake status (except for iron).

Conclusions

This study suggested that aging, waist circumference, body mass index, weight training, hypercholesterolemia, hypertriglycemia, diabetes were site-specifically associated with the BMD in TF, FN and LS in the adult men. These bone site-specific factors need to be considered for the prevention of osteoporosis.

Keywords: KNHANES 2010~2011; the adult men; the bone mineral density

Acknowledgments

This work was supported by a grant from 2016 Research Funds of Andong National University.

References

1. Gates BJ, Das S. Management of osteoporosis in elderly men. Maturitas 2011;69(2):113–119.
2. Statistics Korea. Life table 2014 [internet] Statistics Korea; 2015. cited 2016 Nov 2. Available from: http://kosis.kr/.
3. Korpi-Steiner N, Milhorn D, Hammett-Stabler C. Osteoporosis in men. Clin Biochem 2014;47(10):950–959.
4. Kaufman JM, Lapauw B, Goemaere S. Current and future treatments of osteoporosis in men. Best Pract Res Clin Endocrinol Metab 2014;28(6):871–884.
5. Lee HS. Prevalence of osteopenia/osteoporosis and related risk factors of men aged 50 years and older: Korea National Health and Nutrition Examination Survey 2010~2011 data. J Korean Diet Assoc 2016;22(2):106–117.
6. Lim YS, Lee SW, Tserendejid Z, Jeong SY, Go G, Park HR. Prevalence of osteoporosis according to nutrient and food group intake levels in Korean postmenopausal women: using the 2010 Korea National Health and Nutrition Examination Survey data. Nutr Res Pract 2015;9(5):539–546.
7. Campion JM, Maricic MJ. Osteoporosis in men. Am Fam Physician 2003;67(7):1521–1526.
8. Choi SN, Jho KH, Chung NY. Association of anthropometric and biochemical factors bone mineral density in Korean adult men: data from fourth (2008-2009) and fifth (2010-2011) Korea National Health and Nutrition Examination Surveys (KNHANES IV & V). J East Asian Soc Dietary Life 2014;24(6):710–722.
9. Lee DH, Lee EN. Influencing factors of bone mineral density in men. J Muscle Joint Health 2011;18(1):5–15.
10. Jin MR, Kim JM, Kim H, Chang N. Association of lifestyle behaviors, dietary habits and bone mineral density in men aged 50 years and older. Korean J Nutr 2009;42(1):59–67.
11. Kim YR, Lee TY, Lee JH. Age-related bone mineral density, accumulated bone loss rate at multiple skeletal sites in Korean men. J Korea Acad Ind Coop Soc 2014;15(6):3781–3788.
12. Looker AC, Melton LJ, Harris TB, Borrud LG, Shepherd JA. Prevalence and trends in low femur bone density among older US adults: NHANES 2005-2006 compared with NHANES III. J Bone Miner Res 2010;25(1):64–71.
13. Korea Centers for Disease Control and Prevention. Guidebook for using the 5th Korean National Health and Nutrition Examination Survey (KNHANES V) [internet] Korea Centers for Disease Control and Prevention; 2012. cited 2016 Nov 2. Available from: http://knhanes.cdc.go.kr/.
14. Oh SI, Lee HS, Lee MS, Kim CI, Kwon IS, Park SC. Some factors affecting bone mineral status of postmenopausal women. Korean J Community Nutr 2002;7(1):121–129.
15. Gu HM, Ryu SY, Park J, Han MA, Son YE. Comparison of diet quality and diversity according to obesity type among 19-64 year old Korean adults. Korean J Community Nutr 2016;21(6):545–557.
16. The Korean Nutrition Society. Dietary reference intakes for Koreans 1st revisionth ed. Seoul: The Korean Nutrition Society; 2010. p. 578–583.
17. Kim KH, Lee JH, Yeo JD. The bone mineral density impact factors of adult women before menopause: based on the National Health and Nutrition Examination Survey. J Korean Soc Radiol 2015;9(3):147–168.
18. Langsetmo L, Hanley DA, Prior JC, Barr SI, Anastassiades T, Towheed T. Dietary patterns and incident low-trauma fractures in postmenopausal women and men aged ≥ 50 y: a population-based cohort study. Am J Clin Nutr 2011;93(1):192–199.
19. Wang JH, Lee GE, Song JT, Kwon JH, Choi HR, Jung-Choi KH. The association between shift work and bone mineral density: analysis of 2008-2009 Korean National Health and Nutrition Examination Survey. Korean J Occup Environ Med 2012;24(3):274–286.
20. Kim KS. Factors associated with the bone mineral density in Korean adults: Data from the 2010-2011 Korean National Health and Nutrition Examination Survey (KNHANES) V. J Agric Med Community Health 2014;39(4):240–255.
21. Kim YM, Kim SH, Kim S, Yoo JS, Choe EY, Won YJ. Variations in fat mass contribution to bone mineral density by gender, age, and body mass index: the Korea National Health and Nutrition Examination Survey (KNHANES) 2008-2011. Osteoporos Int 2016;27(8):2543–2554.
22. Cui LH, Shin MH, Kweon SS, Choi JS, Rhee JA, Lee YH. Sex-related differences in the association between waist circumference and bone mineral density in a Korean population. BMC Musculoskelet Disord 2014;15(1):326–333.
23. Hyeon JH, Gwak JS, Hong SW, Kwon H, Oh SW, Lee CM. Relationship between bone mineral density and alcohol consumption in Korean men: the Fourth Korea National Health and Nutrition Examination Survey (KNHANES), 2008-2009. Asia Pac J Clin Nutr 2016;25(2):308–315.
24. Hollenbach KA, Barrett-Connor E, Edelstein SL, Holbrook T. Cigarette smoking and bone mineral density in older men and women. Am J Public Health 1993;83(9):1265–1270.
25. Lim HS, Kim SK, Lee HH, Byun DW, Park YH, Kim TH. Comparison in adherence to osteoporosis guidelines according to bone health status in Korean adult. J Bone Metab 2016;23(3):143–148.
26. Yoo JH. The life habits and exercise strategies for prevention and management of osteoporosis. J Korea Entertain Ind Assoc 2016;10(1):137–146.
27. Mun SO, Kim J, Yang YJ. 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.
28. Abdulameer SA, Sulaiman SAS, Hassali MAA, Subramaniam K, Sahib MN. Osteoporosis and type 2 diabetes mellitus: what do we know, and what we can do? Patient Prefer Adherence 2012;6:435–448.
29. Hwang DK, Choi HJ. The relationship between low bone mass and metabolic syndrome in Korean women. Osteoporos Int 2010;21(3):425–431.
30. Kim H, Oh HJ, Choi H, Choi WH, Lim SK, Kim JG. The association between bone mineral density and metabolic syndrome: a Korean population-based study. J Bone Miner Metab 2013;31(5):571–578.
31. Bredella MA, Gill CM, Gerweck AV, Landa MG, Kumar V, Daley SM. Ectopic and serum lipid levels are positively associated with bone marrow fat in obesity. Radiology 2013;269(2):534–541.
32. Seo HB, Choi YS. Sex-and age group-specific associations between intakes of dairy foods and pulses and bone health in Koreans aged 50 years and older: based on 2008-2011 Korea National Health and Nutrition Examination Survey. J Nutr Health 2016;49(3):165–178.

Article information Continued

Copyright © 2017 The Korean Society of Community Nutrition

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Funded by : Andong National Universityhttp://dx.doi.org/10.13039/501100002441

Table 1

Bone mineral density (g/cm2) in total femur, femoral neck and lumbar spine of subjects according to general characteristics of the study population

Table 1

1) Mean±SE by GLM analysis

2) p value for overall Wald F test for this variable from GLM

3) Adjusted per capita income (monthly household income/√number of household members) grouped by gender and by age (5years span)

**: p < 0.01, ***: p <0.001

a,b,c,d: Different superscript letters in a column indicate significant difference among groups by Bonferroni's test at α=0.05

Table 2

Bone mineral density in total femur, femoral neck and lumbar spine of subjects according to the anthropometric quartile

Table 2

1) Age - adjusted Mean±SE by GLM analysis

2) p value for overall Wald F test for this variable from GLM

*: p < 0.05, **: p < 0.01

a,b: Different superscript letters in a column indicate significant difference among groups by Bonferroni's test at α=0.05

Table 3

Bone mineral density in total femur, femoral neck and lumbar spine of subjects according to the health habits

Table 3

1) Age, WC, BMI (total femur)-, age, WC (femoral neck)-, age, BMI (lumbar spine)- adjusted Mean±SE by GLM analysis

2) p value for overall Wald F test for this variable from GLM

3) < 1 glass/month

4) ≥ 1 days/week

5) ≥ 4 days/week

*: p < 0.05

Table 4

Bone mineral density in total femur, femoral neck and lumbar spine of subjects according to chronic diseases

Table 4

1) Age, WC, BMI (total femur)-, age, WC, weight training (femoral neck)-, age, BMI (lumbar spine)- adjusted Mean±SE by GLM analysis

2) 140 > Systolic blood pressure ≥ 130 mmHg or 90 > diastolic blood pressure ≥ 85 mmHg

3) Systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg or drug

4) p value for overall Wald F test for this variable from GLM

5) Total cholesterol ≥ 240 mg/dL or drug

6) TG ≥ 200 mg/dL

7) Hemoglobin < 13 g/dL

8) 100 mg/dL ≤ Fasting blood glucose ≤ 125 mg/dL

9) Fasting blood glucose ≥ 125 mg/dL without treatment

*: p < 0.05, **: p < 0.01

a,b: Different superscript letters in a column indicate significant difference among groups by Bonferroni's test at α=0.05

Table 5

Bone mineral density in total femur, femoral neck and lumbar spine of subjects according to nutrient intake status

Table 5

1) Estimated energy requirements

2) Age, WC, BMI, energy (total femur)-, age, WC, weight training, energy (femoral neck)-, age, BMI, energy (lumbar spine)- adjusted Mean±SE by GLM analysis

3) p value for overall Wald F test for this variable from GLM

4) Estimated average requirement

*: p < 0.05