Waist circumference and the risk of hypertension and prediabetes among Filipino women

European Journal of Nutrition

Volumn 52, Issue 2, 2013, Pages 825-832

  Carba, Delia B ^a   Bas, Isabelita N ^a   Gultiano, Socorro A ^a   Lee, Nanette R ^a   Adair, Linda S ^b  

^a USC Office of Population Studies Foundation   (Philippines)

^b UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Filipino women; Hypertension; Overweight; Prediabetes; Waist circumference

Indexed keywords

ADULT; AGED; ARTICLE; BODY MASS; CARDIOVASCULAR RISK; CONTROLLED STUDY; DISEASE ASSOCIATION; FEMALE; FILIPINO; HUMAN; HYPERTENSION; IMPAIRED GLUCOSE TOLERANCE; MAJOR CLINICAL STUDY; OBESITY; PATIENT ASSESSMENT; PREDICTIVE VALUE; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY; WAIST CIRCUMFERENCE;

ADULT; AGED; BLOOD GLUCOSE; BODY MASS INDEX; BODY WEIGHT; CROSS-SECTIONAL STUDIES; FASTING; FEMALE; HUMANS; HYPERTENSION; LOGISTIC MODELS; MIDDLE AGED; NUTRITION SURVEYS; OVERWEIGHT; PHILIPPINES; PREDIABETIC STATE; QUESTIONNAIRES; RISK FACTORS; ROC CURVE; WAIST CIRCUMFERENCE;

EID: 84879552424     PISSN: 14366207     EISSN: 14366215     Source Type: Journal    
DOI: 10.1007/s00394-012-0390-9     Document Type: Article

References (35)

1. Wild S, Roglic G, Green A, Sicree R, King H (2004) Global prevalence of diabetes - estimates for the year 2000 and projections for 2030. Diabetes Care 27(5):1047-1053
2. Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J (2005) Global burden of hypertension: analysis of worldwide data. Lancet 365(9455):217-223
3. World Health Organization, Mortality Country Fact Sheet. 2006, World Health Organization
4. Food and Nutrition Research Institute of the Department of Science and Technology, 7th National Nutrition Survey: Philippines (2008): Initial Results CLINICAL AND HEALTH SURVEY the Food and Nutrition Research Institute of the Department of Science and Technology (FNRI-DOST) Food Composition Tables: Recommended for Use in the Philippines: Handbook The Philippine Food Composition Tables: Food and Nutrition Research Institute, 2008
5. Lee D, Sui X, Church T, Lee I-M, Blair S (2009) Associations of cardiorespiratory fitness and obesity with risks of impaired fasting glucose and type 2 diabetes in men. Diabetes Care 32:257-262
6. Janssen I, Katzmarzyk PT, Ross R (2004) Waist circumference and not body mass index explains obesity related health risk. Am J Clin Nutr 79:379-384
7. Yang KT, Chen CS, Reynolds K, He J (2008) Global burden of obesity in 2005 and projections to 2030. Int J Obes 32(9):1431-1437
8. Racette SB, Evans EM, Weiss EP, Hagberg JM, Holloszy JO (2006) Abdominal adiposity is a stronger predictor of insulin resistance than fitness among 50-95 year olds. Diabetes Care 29(3):673-678
9. Koh-Banerjee P, Wang Y, Hu FB, Spiegelman D, Willett WC, Rimm EB (2004) Changes in body weight and body fat distribution as risk factors for clinical diabetes in US men. Am J Epidemiol 159:1150-1159
10. Wahrenberg H, Hertel K, Leijonhufvud B-M, Persson L-G, Toft E, Arner P (2006) Use of waist circumference to predict insulin resistance: retrospective study. BMJ 330:1963-1964
11. Pitanga FJG, Lessa I (2005) Anthropometric indexes of obesity as an instrument of screening for high coronary risk in adults in the city of Salvador - Bahia. Arquivos Brasileiros Cardiol 85:1-5
12. Haffner SM, Despres J-P, Balkau B, et al.. (2006) Waist circumference and body mass index are both independently associated with cardiovascular disease: the international day for the evaluation of abdominal obesity (IDEA) survey. J Am Coll Cardiol 47(4 suppl A)(358A):842-846
13. Zhu SK, Wang ZM, Heshka S, Heo M, et al. (2002) Waist circumference and obesity-associated risk factors among whites in the third National Health and Nutrition Examination Survey: clinical action thresholds. Am J Clin Nutr 76:743-749
14. 2) Asian Indians with normal waist circumference have high cardiovascular risk. Int J Appl Basic Nutr Sci 19(6):503-509
15. http://highbloodpressure.about.com. Accessed on 27 May 2011
16. Misra A, Vikram NK, Gupta R, Pandey RM, Wasir JS, Gupta VP (2006) Waist circumference cutoff points and action levels for Asian Indians for identification of abdominal obesity. Int J Obes 30:106-111
17. Kim JA, Choi CJ, Yum KS (2006) Cut-off values of visceral fat area and waist circumference: diagnostic criteria for abdominal obesity in a Korean population. J Korean Med Sci 21:1048-1053
18. Esteghamati A, Ashraf H, Rashidi A, Meysamie A (2008) Waist circumference cut-off points for the diagnosis of metabolic syndrome in Iranian adults. Diabetes Res Clin Pract 82(1):104-107
19. Cameron AJ, Sicree RA, Zimmer PZ, et al. (2010) Cut-points for waist circumference in Europids and South Asians. Obesity 18(10):2039-2046
20. http://www.census.gov.ph/data/census2007/index.html. Accessed 30 Aug 2011
21. Adair LS, Popkin BM, Akin JS, Guilkey DK, Gultiano S, Borja J, Perez L, Kuzawa CW, McDade T, Hindin MJ (2011) Cohort profile: the Cebu longitudinal health and nutrition survey. Int J Epidemiol 40:619-625
22. Kumar CPTG, Sng CPTBL, Kumar COLS (2004) Correlation of capillary and venous blood glucometry with laboratory determination. Prehosp Emerg Care 8:378-383
23. Tuazon MA, van Raaij JM, Hautvast JG, Barba CV (1987) Energy requirements of pregnancy in the Philippines. Lancet 2:1129-1131
24. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O'brien WL, Bassett DR Jr, Schmitz KH, Emplaincourt PO, Jacobs DR Jr, Leon AS (2000) Compendium of physical activities: an update of activity codes and MET intensities. MEDICINE & SCIENCE IN SPORTS & EXERCISE, Copyright @ 2000 by the International Life Sciences Institute, pp S498-S516
25. Dahly D, Adair LS (2007) Quantifying the urban environment: a scale measure of urbanicity outperforms the traditional urban-rural dichotomy. Soc Sci Med 64(7):1407-1419
26. Liu A, Hills AP, Hu X, Li Y, Du L, Xu Y, Byrne NM, Ma G (2010) Waist circumference cut-off values for the prediction of cardiovascular risk factors clustering in Chinese school-aged children: a cross-sectional study. BMC Public Health 10(82):1-9
27. Tuan NT, Adair LS, Popkin BM (2008) Optimal cutoff values for overweight: using body mass index to predict incidence of hypertension in 18- to 65-year-old Chinese adults. J Nutr 138:1377-1382
28. ROCCurve.pdf: http://www.medicalbiostatistics.com, pp 1-9. Accessed 4 March 2011
29. Rosenthal AD, Jin F, Shu X-O, Yang G, Elasy TA, Chow W-H, Ji B-T, Xu H-X, Li Q, Gao Y-T, Zhen W (2004) Body fat distribution and risk of diabetes among Chinese women. Int J Obesity 28:594-599
30. Snehalatha C, Viswanathan V, Ramachandran A (2003) Cutoff values for normal anthropometric variables in Asian Indian adults. Diabetes Care 26:1380-1384
31. Zhu S, Heymsfield SB, Toyoshima H, Wang Z, Pietrobelli A, Heshka S (2005) Race-ethnicity-specific waist circumference cutoffs for identifying cardiovascular risk factors. Am J Clin Nutr 81(2):409-415
32. Zhou B-F, The Cooperative Meta-analysis Group of Working Group on Obesity in China (2002) Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Asia Pac J Clin Nutr 11(Supplement s8):S685-S693
33. Wildman RP, Gu D, Reynolds K, Duan X, He J (2004) Appropriate body mass index and waist circumference cutoffs for categorization of overweight and central adiposity among Chinese adults. Am J Clin Nutr 80:1129-1136
34. Cockram CS (2000) The epidemiology of diabetes mellitus in the Asia-Pacific region. HKMJ 6(1):43-52
35. 30Philippines07.pdf PHILIPPINES COUNTRY HEALTH INFORMATION PROFILES, pp 328-344