DOI QR코드

DOI QR Code

여대생의 체질량지수와 식습관에 따른 골밀도 비교

Comparative of Bone Mineral Density according to the Body Mass Index and Eating Habits of Female U niversity Students

  • Lee, In-Ja (Dept. of radiological Technology, Dongnam Health University)
  • 투고 : 2017.11.16
  • 심사 : 2017.12.14
  • 발행 : 2017.12.31

초록

16세에서 26세 정도에서 총 무기질 함량이 99% 정도 형성된다는 자료를 토대로 골 형성에 중요한 20대 초반의 여대생들을 대상으로 골밀도에 영향을 미치는 식습관의 요인을 알아보고 차후에 생길지도 모르는 골다공증을 예방하기 위한 자료를 제공하고자 본 연구를 하였다. 20대의 여대생 100명을 대상으로 BMI에 따른 골밀도를 DEAX로 측정하였고, 본인이 직접 작성한 식습관 10개 항목과 골밀도 측정 결과를 Microsoft office Excel 2010을 이용하여 pearson상관분석과 다중회귀분석으로 분석하였다. 그 결과는 신장은 $161.08{\pm}4.70cm$, 체중은 $52.43{\pm}6.43kg$, BMI는 $20.22{\pm}2.48$로 나타났으며, 이들은 BMD와 유의한 상관관계를 가지고 있다(p<0.05). BMI에 따른 분류를 해보면 저체중이 20명, 정상체중 이상은 80명 이었으며, 정상체중 이상에서 BMD가 $0.20{\pm}0.41$로 높았다. 또한 동일한 성별에서 젊은 성인집단의 골밀도와 비교한 T-score의 평균은 $-0.04{\pm}0.99$, 같은 연령대의 골밀도와 비교한 Z-score의 평균은 $0.02{\pm}0.93$로 차이가 없었다(p<0.001). 골밀도에 영향을 미치는 식습관은 본 연구에 의하면 1일 3끼 식사, 1일 커피 1-3잔, 짜지 않은 음식섭취는 p<0.05로 유의한 관계를 나타내 가장 영향을 많이 미치고 있었으며, 그 외에 음주, 1달에 6-9회의 유제품 섭취도 p<0.05로 유의하지는 않지만 p=0.066, 0.054로 영향을 미치는 것으로 나타났다. 따라서 20대 여대생들이 중장년이 되었을 때 골 질환을 막기 위해서는 젊은 시절 골 형성이 잘 될 수 있도록 식습관을 바르게 가져야 할 것으로 사료된다.

This study was based on the data of total mineral content of about 99% at the age of 16-26 years, we aimed at female university students who are important for bone formation in their early 20s. The purpose of this study was to investigate factors of eating habits affecting their bone density and to provide data to prevent osteoporosis which might occur in the future. It was conducted on 100 female university students in their 20s, the bone mineral density according to BMI was measured by DEAX, and the analysis of 10 eating habits items and the results of BMD measurement on their own results in Excel 2010. As a result, the height was $161.08{\pm}4.70cm$, the weight was $52.43{\pm}6.43kg$, and the BMI was $20.22{\pm}2.48$, which correlated with BMD (p<0.05). According to the BMI classification, 20 had low weight and 80 had normal weight, and BMD was $0.20{\pm}0.41$ at normal weight. In the same sex, the mean T-score of the young adult group was $-0.04{\pm}0.99$ compared with the BMD of the young adult group, and the mean Z-score of the same age group was $0.02{\pm}0.93$ (p<0.001). Eating habits affecting bone mineral density were significantly affected by 3 meals per day, 1-3 cups of coffee per day and p<0.05 for Low salt formula intake. 6-9 dairy product intake was also p<0.05 but not significant. Therefore, it is considered that when 20s female students become middle-aged woman, they should have proper eating habits so that osteogenesis can be improved at young age in order to prevent bone disease.

키워드

참고문헌

  1. Young-Ran Kim, Tae-Yong Lee, Yong-sun Park, Hae-Kyung Cheon: The Effect of Lifestyle Habits and Nutrient Intake Conditions of Female Shift Workers at General Hospitals on Bone Mineral Density Values. Journal of Radiological Science and Technology, 2012, 35(1), 9-15.
  2. Cecilia Albala Brevis, Yanez M, Enzo Devoto, Santos JL; Obesity as a protective Factor for Postmenopausal Osteoporosis. Int J Obs Relat Metab Disord, 1996, 20, 32-1027.
  3. Myeong-Sook Lee, Pock-Soo Kang, Kyeong-Soo Lee: Factors Affecting Bone Mineral Density in Premenopausal Women. Yeungnam University. J. of Med, 2007, 24(2), 330-339.
  4. Jeong-Sik Shin, Jung-Hwan Ahn, Hwa-Young Kim, Hyung Jun Kim, Seung-Moo Han: A Study on Method for Improving Reproducibility in the Ultrasonic Measurement of Bone Mineral Density. The Korean Society of Mechanical Engineers, 2005, 4(1), 1430-1437.
  5. Tae-Hui Lee: A Study of the Correlation between Bone Mineral Density of the Lumbar Spine and Bone Mineral Density of the Phase Mandible for Implant Treatment, Ph.D. thesis, Kangwon national university graduate school, 2016
  6. Teegarden D, Proulx WR, Martin BR, Zhao J, Mccabe GE, Lyle RM, Peacock M, Slemenda C, Johnston CC, Weaver CM.: Peak bone mass in young women, J Bone Miner Res, 1995, 10, 711-715.
  7. Frediani B, Acciai C, Falsetti P, et al.: Calcaneus ultrasonometry and dual-energy X-ray absorptiometry for the evaluation of vertebral fracture risk, Calcif Tissue Int, 2006, 79(4), 223-229. https://doi.org/10.1007/s00223-005-0098-4
  8. Steelmen J1, Zeitler P: Osteoporosis in pediatrics, Pediatr Rev, 22(2), 56-65, 2001 https://doi.org/10.1542/pir.22-2-56
  9. Won-Jeong Lee: Sex Differences in Bone Marrow Density Measured by Quantitative Ultrasonometry: For 20 year old college student, Journal of Radiological Science and Technology, 2017, 40(3), 401-405. https://doi.org/10.17946/JRST.2017.40.3.07
  10. Jung-Su Kim, Young-Hoon Rho, In-Ju Lee, Sung-Su Kim, Kyoung-Ah Kim, Jung-Min Kim: A Status Report on Dual Energy X-ray Absorptiometry Quality Control in Korea, Journal of Radiological Science and Technology, 2016, 39(4), 527-534. https://doi.org/10.17946/JRST.2016.39.4.06
  11. Ye-Soo Park: Diagnosis and treatment of osteoporosis, J Korean Med Assoc, 2012, 55(11), 1083-1094. https://doi.org/10.5124/jkma.2012.55.11.1083
  12. Lewiecki, E. M., Watts, N. B., McClung, M. R., et al.: Official positions of the international society for clinical densitometry. The Journal of Clinical Endocrinology & Metabolism, 2004, 89(8), 3651-3655. https://doi.org/10.1210/jc.2004-0124
  13. Myung-Sun Hong, Hee-Ok Pak, Chun-Young Sohn: Comparative Study of Food Behaviors and Nutrients Intake according to the Bone Mineral Density of Female University Students, Korean J. Food & Nutr., 2012, 25(1), 156-162. https://doi.org/10.9799/ksfan.2012.25.1.156
  14. In-Ja Lee, Yo-Han Ko, Chung-Kyung Kim, Hee-Sol Kim, Da-Jeoung Park, Hyeo Min Yoon, et al.: Relationship of Changing Social Atmosphere, Lifestyle and Bone Mineral Density in College Students, Journal of Radiological Science and Technology, 2013, 36(4), 263-271.
  15. Kim MS, Koo JO : Comparative analysis of food habits and bond density risk factors between normal and risk women living in the seoul area. korean J Comm. Nutr., 2008, 13, 125-133.
  16. Tae-Hui Lee, Tae-Hyung Ki, Woon-Young So, Hei-Gyeom Lim, Cheong-Hwan Lim, Myeong-Hwan Park, et al.: Analysis of Bone Mellow Density in Adults of Domestic Local Area Using Multi-Detector Computed Tomography: Focus on Corelation About Eating Habits, Lifestyle, Physical Features and Social Characteristics, Journal of Radiological Science and Technology, 2016, 39(4), 517-526. https://doi.org/10.17946/JRST.2016.39.4.05