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      폐경 전,후 성인 여성의 BMI지표에 의한 WHR, %FAT 평가와 대사장애지표와의 상관관계

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      https://www.riss.kr/link?id=A100581239

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      다국어 초록 (Multilingual Abstract)

      Many women are suffering from a dramatic increase of metabolic syndrome after menopause(climacteric). The accumulation of fat in the visceral area has been described as one of main components of the metabolic syndrome. Obesity is the primary cause of ...

      Many women are suffering from a dramatic increase of metabolic syndrome after menopause(climacteric). The accumulation of fat in the visceral area has been described as one of main components of the metabolic syndrome. Obesity is the primary cause of metabolic syndrome. The aim of this study was to observe differences of anthropometric parameters describing obesity status of age group of 40th and 50th and the relationship between metabolic syndrome indicators and BMI, WHR, and %Fat. For these purpose 321 women with ages ranging from 40-59 year were volunteered to measure for determining the obesity status and blood lipid profiles. All subjects were asked for menopausal status, divided into two group and evaluated for BMI, WHR, %fat, serum lipid and body composition. The body composition of subjects was measured using bio-impedance method. Blood was drawn from the subject, centrifuged and stored for analysis. Blood lipid was analyzed using enzymatic method by SELECTRA XL(NETHERLAND). The results showed that postmenopausal women in 50`s show higher BMI, WHR, %fat, TC, LDL-C, TG compared with premenopausal women in 40`s but lower height, weight, HDL-C. WHR was more effective variable to describe obesity status BMI than BMI, in both 40`s and 50`s menopausal women. WHR and %Fat of premenopausal women in 40`s showed significant differences between each BMI stages (a<b<c<d). In addition WHR and %Fat of postmenopausal women in 50`s showed significant difference only between a and d, but no significant between b and c (a<b=c<d) existed. In present study, the correlation between metabolic syndrome indicator of 40`s and 50`s and BMI, WHR, %fat were examined. TC and LDL-C were mostly related with %Fat(40`s), WHR(50`s), HDL-C with BMI(40`s), %Fat(50`s), triglyceride with WHR(40`s), %Fat(50`s). In conclusion, women in 50`s showed significantly higher TC, LDL-C, TG and significantly lower HDL-C compared with 40`s. This may suggest that after menopause metabolic syndrome might increase independently with aging. BMI showed higher correlations coefficient with WHR than %Fat.

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      참고문헌 (Reference)

      1 신선애, "폐경 전․후 여성의 비만지표, 심폐지구력, 그리고 대사증후군 비교" 14 (14): 193-202, 2005

      2 강상조, "운동선수의 체중비 추정을 위한 BMI 지수의 적절성" 한국체육학회 44 (44): 375-384, 2005

      3 Wang J, "Waist circumference: a simple, inexpensive, and reliable tool that should be included as part of physical examinations in the doctor's office" 78 (78): 902-903, 2003

      4 Shen W, "Waist circumference correlates with metabolic syndrome indicators better than percentage fat.Obesity(Silver Spring)" 14 (14): 727-736, 2006

      5 Janssen I, "Waist circumference and not body mass index explains obesity-related health risk" 79 (79): 379-384, 2004

      6 Bosy-Westphal A, "Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors" 30 (30): 475-483, 2006

      7 Deurenberg P, "The validity of predicted body fat percentage from body mass index and from impedance in samples of five European populations" 55 (55): 973-939, 2001

      8 Mokdad AH, "The spread of the obesity epidemic in the United States, 1991-1998" 282 : 1519-1522, 1999

      9 Deurenberg-Yap M, "The paradox of low body mass index and high body fat percentage among Chinese,Malays and Indians in Singapore.Int J Obes Relat Metab Disord" 24 (24): 1011-1017, 2000

      10 Kim HM, "The effect of menopause on the metabolic syndrome among Korean women:the Korean National Health and Nutrition Examination Survey" 30 (30): 701-706, 2007

      1 신선애, "폐경 전․후 여성의 비만지표, 심폐지구력, 그리고 대사증후군 비교" 14 (14): 193-202, 2005

      2 강상조, "운동선수의 체중비 추정을 위한 BMI 지수의 적절성" 한국체육학회 44 (44): 375-384, 2005

      3 Wang J, "Waist circumference: a simple, inexpensive, and reliable tool that should be included as part of physical examinations in the doctor's office" 78 (78): 902-903, 2003

      4 Shen W, "Waist circumference correlates with metabolic syndrome indicators better than percentage fat.Obesity(Silver Spring)" 14 (14): 727-736, 2006

      5 Janssen I, "Waist circumference and not body mass index explains obesity-related health risk" 79 (79): 379-384, 2004

      6 Bosy-Westphal A, "Value of body fat mass vs anthropometric obesity indices in the assessment of metabolic risk factors" 30 (30): 475-483, 2006

      7 Deurenberg P, "The validity of predicted body fat percentage from body mass index and from impedance in samples of five European populations" 55 (55): 973-939, 2001

      8 Mokdad AH, "The spread of the obesity epidemic in the United States, 1991-1998" 282 : 1519-1522, 1999

      9 Deurenberg-Yap M, "The paradox of low body mass index and high body fat percentage among Chinese,Malays and Indians in Singapore.Int J Obes Relat Metab Disord" 24 (24): 1011-1017, 2000

      10 Kim HM, "The effect of menopause on the metabolic syndrome among Korean women:the Korean National Health and Nutrition Examination Survey" 30 (30): 701-706, 2007

      11 Seidell JC, "Report from a Centers for Disease Control and Prevention Workshop on use of adult anthropometry for public health and primary health care" 73 (73): 123-126, 2001

      12 Wellens RI, "Relationships between the Body Mass Index and body composition" 4 (4): 35-44, 1996

      13 이양자, "Qualitative aspects of dietary carbohydrate and fat in hypertriglyceridemia" 8 (8): 47-52, 1998

      14 Lean ME, "Predicting body composition by densitometry from simple anthro- pometric measurements" 63 (63): 4-14, 1996

      15 Bedogni G, "Is body mass index a measure of adiposity in elderly women?" 9 (9): 17-20, 2001

      16 Lemieux I, "Hypertriglyceridemic waist:A marker of the atherogenic metabolic triad (hyperinsulinemia; hyperapolipoprotein B;small, dense LDL) in men?" 102 (102): 179-184, 2000

      17 Berg GA, "Higher values of hepatic lipase activity in" 8 (8): 51-57, 2001

      18 Gallagher D, "Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index" 72 (72): 694-701, 2000

      19 Toth MJ, "Effect of menopausal status on body composition and abdominal fat distribution" 24 (24): 226-231, 2000

      20 Bigaard J, "Does waist circumference alone explain obesity-related health risk?" 80 (80): 790-791, 2004

      21 Tulloch-Reid MK, "Do measures of body fat distribution provide information on the risk of type 2 diabetes in addition to measures of general obesity? Comparison of anthropometric predictors of type 2 diabetes in Pima Indians" 26 (26): 2556-2561, 2003

      22 Ito H, "Detection of cardiovascular risk factors by indices of obesity obtained from anthropometry and dual-energy X-ray absorptiometry in Japanese individuals" 27 (27): 232-237, 2003

      23 Amani, R, "Comparison between bioelectrical impedance analysis and body mass index methods in determination of obesity prevalence in Ahvazi woman" 61 (61): 478-482, 2007

      24 Weisell RC, "Body mass index as indicator of obesity" 8 : 681-684, 2002

      25 Deurenberg, P, "Body mass index and percent body fat: a meta analysis among different ethnic groups" 22 (22): 1164-1171, 1998

      26 Calle EE, "Body mass index and mortality in a prospective cohort of US adults" 341 : 1097-1105, 1999

      27 Taylor RW, "Body fat percentages measured by dual-energy X-ray absorptiometry corresponding to recently recommended body mass index cutoffs for overweight and obesity in children and adolescents aged 3-18 y" 76 (76): 1416-1421, 2002

      28 Tchernof A, "Body fat distribution, the menopause transition, and hormone replacement therapy" 26 (26): 12-20, 2000

      29 Ozbey N, "Body fat distribution and cardiovascular disease risk factors in pre- and postmenopausal obese women with similar BMI" 49 (49): 503-539, 2002

      30 Kyle UG, "Body composition interpretation. Contributions of the fat-free mass index and the body fat mass index" 19 (19): 597-604, 2003

      31 Lohman TG, "Body composition assessment in American Indian children" 69 (69): 764-766, 1999

      32 고성경, "BMI와 %Fat에 의한 비만도 평가가 고지혈중 진단에 미치는 영향" 한국운동생리학회 14 (14): 21-30, 2005

      33 Nakanishi N, "Associations of body mass index and percentage body fat by bioelectrical impedance analysis with cardiovascular risk factors in Japanese male office workers" 38 (38): 273-279, 2000

      34 Blew RM, "Assessing the validity of body mass index standards in early postmenopausal women" 10 (10): 799-808, 2002

      35 Deurenberg P, "Asians are different from Caucasians and from each other in their body mass index/body fat percent relationship" 3 : 141-146, 2002

      36 WHO Expert Consultation, "Appropriate body-mass for Asian populations and its implications for policy and intervention strategies" 363 (363): 157-163, 2004

      37 Lahmann PH, "A prospective study of adiposity and all-cause mortality:the Malmö Diet and Cancer Study" 10 (10): 361-369, 2002

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2003-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2001-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.72 0.72 0.71
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.78 0.85 0.652 0.24
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