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Correlation of the Rate of Obesity and Blood Lipids According to Obesity Index in Rural Post-menopausal Women

농촌 폐경 후 여성의 비만 지표에 따른 비만율 비교 및 혈중 지질과의 상호관련성

  • 최정숙 (농촌진흥청 국립농업과학원) ;
  • 김은경 (농촌진흥청 국립농업과학원) ;
  • 박영희 (농촌진흥청 국립농업과학원)
  • Received : 2011.09.19
  • Accepted : 2011.12.14
  • Published : 2011.12.30

Abstract

This study was performed to examine the relationship between the body mass index (BMI), the body fat, and the serum lipids of post-menopausal women in rural areas. The subjects were 510 women aged 50 and over. As a result of this study, we found a trend of decreasing BMI as age increased, but body fat increased. In addition, there was a significant decreasing of the lean body mass than an increasing of the body mass index according to increasing age. Therefore, this study confirmed that a main cause of rural women being classified as obese is a decrease in lean body mass, rather than an increase in of body fat. Of all subjects, 36.3% ($18.5{\leq}BMI$ < 23) of all subjects were classified as having normal BMI, whereas only 21.4% were classified as having normal body fat. Out of 190 subjects who were body fat 30% and over, 38 subjects were classified as obese ($BMI{\geq}25$) and 113 subjects were classified as overweight ($23{\leq}BMI$ < 25). The percentile of those with a BMI of $25kg/m^2$ was 70, and they had 30.82% body fat. HDL cholesterol showed a negative correlation with anthropometric factors (height, weight, body mass index, waist circumference, waist hip ratio, body fat), and total cholesterol, LDL cholesterol, and triglycerides showed a positive correlation. Especially, total cholesterol, LDL cholesterol, and hip circumference showed significant correlations. Because of differences in the body fat and lean body mass by age group, it seems difficult to assess obesity via BMI only. The elderly especially should have a higher significance placed on body fat or abdominal fat than only BMI.

Keywords

References

  1. 대한비만학회. 2000. 비만의 진단과 치료. pp 24-33
  2. 안재억, 유근영, 이중환. 1999. 의학.보건학 통계분석. SPSS Korea. p 418
  3. Cha YS, Sohn HS, Joo EJ. 1997. Nutritional intake and biochemical status in blood and urine of elderly women: comparisons among subgroups divided by residence type. Kor J Nutr, 30(9):1095-101
  4. Chaung SK. 2005. Neck circumference as a measure for identifying obesity in female college students. J Korean Acad Funda Nurs, 12(3):347-353
  5. Choi YS, Lee OJ, Cho SH, Park WH, Im JG, Kwon SJ. 1995. Serum lipid and lipoperoxide levels and their related factors in middle - aged men in Teagu. Korean J Nutr, 28(8):771-781
  6. Dalton M, Cameron AJ, Zimmet PZ, Shaw JE, Jolley D, Dunstan DW, Welborn TA; AusDiab Steering Committee. 2003. Waist circumference, waist-hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults. J Intern Med. 254(6):555-63 https://doi.org/10.1111/j.1365-2796.2003.01229.x
  7. Flegal KM, Carroll MD, Ogden CL, Curtin LR. 2010. Prevalence and trends in obesity among US adults, 1999-2008. JAMA, 303(3):235-241 https://doi.org/10.1001/jama.2009.2014
  8. Garcia-Palmieri MR, Costas R, Schiffman J, Colon AA, Torres R, Nazario E. 1972. Interrelationship of serum lipids with relative weight, blood glucose, physical activity. Circulation, 45:829-836 https://doi.org/10.1161/01.CIR.45.4.829
  9. Guo SS, Zeller C, Chumlea WC, Sievogel RM. 1999. Aging, body composition, and lifestyle: the Fels Longitudinal Study. Am J Clin Nutr, 70:405-411
  10. Kim JH, Koo BK, Kim KJ, Baek JW, Lee YK, Lee SK. 1999. Characteristics of eating behaviors of the long-lived elderly People in Kyungpook Sung-Ju. Korean J Comm Nutr, 4(2):219-230
  11. Kim JI, Yu BC, Jeon MJ, Kim JM, Choi JS, Park JY, Lee YH. 2009. Correlation of metabolic syndrome with waist circumference and waist-to-height ratio. Korean Society for the Study of Obesity, 18(3):87-93
  12. Kim SY, Yoon JS, Cha BG. 1992. Relationship among body fat distribution, adiposity, fasting serum Insulin and lipids in adult female. Korean J Nutr, 25:221-232
  13. Kim YS, Lee CH. 1995. Effect of methods on body composition analysis to evaluate for adult obesity. Korean Society for the Study of Obesity, 4(1):59-69
  14. Korea Center for Disease Control and Prevention, Ministry for Health, Welfare and Family Affairs. National health & nutrition examination survey (KNHANES 2009), Nutrition survey, Ministry for Health, Welfare and Family Affairs
  15. Malaguarnera M, I. Giugno, P. Ruello, M. Rizzo, M.P. Panebianco, G. Pistone, F.B. Tomasello. 1998. Lipid profile variations in a group of healthy elderly and centenarians. European Review for Medical and Pharmacological Sciences, 2: 75-79
  16. Ministry of Health and Welfare, 2001 National Health and Nutrition Survey: Overview, Ssoul; 2002
  17. Moon HK, Kim EG. 2005. Comparing validity of body mass index, waist to hip ratio, and waist circumference to cardiovascular disease risk factors in Korean elderly. Korean J Nutr, 8(6):445-454
  18. Nam SM, Ha EH, Suh YJ, Park HS, Chang MH, Seo JH, Kim BM. 2008. Effect of obesity and blood lipid profiles on hyperlipidemia in adults aged over 40 years. Korean Society for the Study of Obesity, 17(1):20-28
  19. Oh KW, Lee SI, Song KS, Nam CM, Kim YO, Lee YC. 1995. Fatty acid intake patterns and the relation of fatty acid intake to serum lipids of the Korean adults. Korean Society of Lipidology and Atherosclerosis, 5(2):167-181
  20. Park JK, Son SM. 2003. Anthropometric and biochemical indicators and related factors for the community dwelling elderly living alone. Korean J Community Nutr, 8(5):726- 735
  21. Park SG, Lee YW, Kong MH, Kim HJ. 2010. The comparison of efficacy of obesity indices fot screening metabolic risk factors among adults in Jeju island. Korean Society for the Study of Obesity, 19(3):101-106
  22. Park YB, Kim JQ, Park KS, Kim SY, Cho BY, Lee HK, Koh CS, Min HK, Park YS, Kim HK, Kim YI, Shin YS, Paik HY. 1993. Community-based epidemiologic study on serum lipid profiles and their interaction with other atherosclerotic cardiovascular risk factors in Yonchon county. Korean Society of Lipidology and Atherosclerosis, 3:191-203
  23. Park YS, Kim S, Park KS, Lee JW, Kim KN. 1999. Nutrient intakes and health-related behaviors of the elderly in rural area. Korean J Comm Nutr, 4(1):37-45
  24. Pichard C, Kyle UG, Bracco D, Slosman DO, Morabia A, Schutz Y. 2000. Reference values of fat-free masses by bioelectrical impedance analysis in 3393 healthy subjects. J Nutr, 16:245-254 https://doi.org/10.1016/S0899-9007(00)00256-2
  25. Shim KW, Kim JY, Seo HS, Lee HS, Lee SW, Kang JH. 2002. Predicting body fat by anthropometry in obese Korean women. Korean Society for the Study of Obesity, 11(2):150-157
  26. Shon CM, Kim JH, Shin SY, Sha KC. 2001. A study of agerelated patterns in body composition by using segmental bioelectrical impedance analysis for Koreans. J Korean Dietetic Association, 7(2):153-158
  27. Shoukri MM, Edge. VL 1995. Statistical Methods for Health Sciences. CRC Press. p 90
  28. Sim KW, Lee SH, Lee HS. 2001. The relationship between body mass index and morbidity in Korea. Korean Society for the Study of Obesity, 10(2):147-155
  29. Son SM, Lee YN. 1999. Nutritional status and related factors of elderly residing in Puchon city I. Anthropometric data and biochemical nutritional status. J. Korean Soc. Food Sci. Nutr, 28(6):1391-1397
  30. Friedewald WT, Levy RI, Fredrickson DS. 1972. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem, 18(6):499-502
  31. World Health Organization. Reducing Risks - Promoting Healthy Life. World Health Report; 2002
  32. World health organization western pacific region. The asia-paific perspective; redefining obesity and its treatment. 2000
  33. Yang EJ, Kim WY. 2004. New paradigm for dietary reference intakes: American/Canadian dietary reference intakes (DRIs): DRIs. Korean J Nutr, 37(7):603-605
  34. Yang EJ, Kim WY. 2005. Nutritional Status of Korean Elderly. Kor J Gerontol, 15(1):1-10