A comparison of different approaches to unravel the latent structure within metabolic syndrome

PLoS ONE

Volumn 7, Issue 4, 2012, Pages

  Woolston, Andrew ^a   Tu, Yu Kang ^a   Baxter, Paul D ^a   Gilthorpe, Mark S ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LIPID; TRIACYLGLYCEROL;

ADULT; AGED; ALGORITHM; ARTICLE; BODY MASS; CLUSTER ANALYSIS; CONTROLLED STUDY; DIASTOLIC BLOOD PRESSURE; FACTORIAL ANALYSIS; FUZZY SYSTEM; HUMAN; INSULIN RESISTANCE; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; METABOLIC SYNDROME X; METHODOLOGY; OBESITY; PREDICTION; RISK FACTOR; STATISTICAL ANALYSIS; SYSTOLIC BLOOD PRESSURE; VALIDITY; WAIST HIP RATIO; COMPARATIVE STUDY; CROSS-SECTIONAL STUDY; METABOLISM; MIDDLE AGED; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS;

ADULT; AGED; AGED, 80 AND OVER; CLUSTER ANALYSIS; CROSS-SECTIONAL STUDIES; DATA INTERPRETATION, STATISTICAL; FACTOR ANALYSIS, STATISTICAL; HUMANS; MALE; METABOLIC SYNDROME X; MIDDLE AGED; PRINCIPAL COMPONENT ANALYSIS; RISK FACTORS; YOUNG ADULT;

EID: 84859223224     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0034410     Document Type: Article

References (40)

1. Chen J, Muntner P, Hamm LL, Jones DW, Batuman V, et al. (2004) The Metabolic Syndrome and Chronic Kidney Disease in U.S. Adults. Annals of Internal Medicine 140: 167-174.
2. Thomas G, Sehgal AR, Kashyap SR, Srinivas TR, Kirwan JP, et al. (2011) Metabolic Syndrome and Kidney Disease: A Systematic Review and Meta-analysis. Clinical Journal of the American Society of Nephrology In press.
3. Gami AS, Witt BJ, Howard DE, Erwin PJ, Gami LA, et al. (2007) Metabolic syndrome and risk of incident cardiovascular events and death- A systematic review and meta-analysis of longitudinal studies. Journal of the American College of Cardiology 49: 403-414.
4. McNeill AM, Katz R, Girman CJ, Rosamond WD, Wagenknecht LE, et al. (2006) Metabolic syndrome and cardiovascular disease in older people: The cardiovascular health study. Journal of the American Geriatrics Society 54: 1317-1324.
5. Wilson PWF, D'Agostino RB, Parise H, Sullivan L, Meigs JB, (2005) Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation 112: 3066-3072.
6. Yanai H, Tomono Y, Ito K, Furutani N, Yoshida H, et al. (2008) The underlying mechanisms for development of hypertension in the metabolic syndrome. Nutrition Journal 7.
7. Mannuicci E, Monami M, Rotella CM, (2007) How many components for the metabolic syndrome? Results of exploratory factor analysis in the FIBAR study. Nutrition Metabolism and Cardiovascular Diseases 17: 719-726 DOI 10.1016/j.numecd.2006.09.003.
8. Pladevall M, Singal B, Williams LK, Brotons C, Guyer H, et al. (2006) A single factor underlies the metabolic syndrome- A confirmatory factor analysis. Diabetes Care 29: 113-122.
9. Fabrigar LR, Wegener DT, MacCallum RC, Strahan EJ, (1999) Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods 4: 272-299.
10. Ford JK, MacCallum RC, Tait M, (1986) The Application of Exploratory Factor-Analysis in Applied-Psychology- A Critical-Review and Analysis. Personnel Psychology 39: 291-314.
11. Streiner DL, (1994) Figuring Out Factors- the Use and Misuse of Factor-Analysis. Canadian Journal of Psychiatry-Revue Canadienne de Psychiatrie 39: 135-140.
12. Alberti KGMM, Zimmet P, Shaw J, (2006) Metabolic syndrome- a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabetic Medicine 23: 469-480.
13. Grundy SM, Brewer HB, Cleeman JI, Smith SC, Lenfant C for the Conference Participants (2004) Definition of Metabolic Syndrome. Circulation 109: 433-438.
14. Darsow T, Kendall D, Maggs D, (2006) Is the metabolic syndrome a real clinical entity and should it receive drug treatment? Current Diabetes Reports 6: 357-364.
15. Ford ES, Giles WH, (2003) A comparison of the prevalence of the metabolic syndrome using two proposed definitions. Diabetes Care 26: 575-581.
16. Kahn R, (2006) The metabolic syndrome (emperor) wears no clothes. Diabetes Care 29: 1693-1696 DOI 10.2337/dc06-0671.
17. Kahn R, (2007) Metabolic Syndrome. Circulation 115: 1806-1811.
18. Shen BJ, Goldberg RB, Llabre MM, Schneiderman N, (2006) Is the factor structure of the metabolic syndrome comparable between men and women and across three ethnic groups: The Miami Community Health Study. Annals of Epidemiology 16: 131-137 DOI 10.1016/j.annepidem.2005.06.049.
19. Costello AB, Osborne JW, (5 A.D.) Best Practices in Exploratory Factor Analysis: Four Recommendations for Getting the Most From Your Analysis. Practical Assessment, Research and Evaluation 10: 173-178.
20. Floyd FJ, Widaman KF, (1995) Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment 7: 286-299.
21. Joliffe IT, (2002) Principal Component Analysis New York Springer-Verlag.
22. Guttman L, (1954) Some Necessary Conditions for Common-Factor Analysis. Psychometrika 19: 149-161.
23. Kaiser HF, (1960) The Application of Electronic-Computers to Factor-Analysis. Educational and Psychological Measurement 20: 141-151.
24. Kaiser HF, (1958) The Varimax Criterion for Analytic Rotation in Factor-Analysis. Psychometrika 23: 187-200.
25. Shen BJ, Todaro JF, Niaura R, McCaffery JM, Zhang JP, et al. (2003) Are metabolic risk factors one unified syndrome? Modeling the structure of the metabolic syndrome X. American Journal of Epidemiology 157: 701-711 DOI 10.1093/aje/kwg045.
26. Niaura R, Banks SM, Ward KD, Stoney CM, Spiro A, et al. (2000) Hostility and the metabolic syndrome in older males: The normative aging study. Psychosomatic Medicine 62: 7-16.
27. Gorsuch RL, (1983) Factor Analysis New York Psychology Press.
28. Anderberg MR, (1974) Cluster Analysis for Applications New York Academic Press Inc.
29. Kaufman L, Rosseeuw PJ, (1990) Finding Groups in Data: An Introduction to Cluster Analysis New York Wiley-Interscience.
30. Thurstone LL, (1940) Experimental Study of Simple Structure. Psychometrika 5: 153-168.
31. SAS Institute Inc (1999) SAS/STAT® User's Guide, Version 8 Cary, NC SAS Institute Inc.
32. Greene T, (1990) The Depiction of Linear Association by Matroids. Computational Statistics & Data Analysis 9: 251-269.
33. Welsh DJA, (1976) Matroid theory London Academic P.
34. Greene T, (1991) Descriptively Sufficient Subcollections of Flats in Matroids. Discrete Mathematics 87: 149-161.
35. Lafortuna CL, Adorni F, Agosti F, Sartorio A, (2008) Factor analysis of metabolic syndrome components in obese women. Nutrition Metabolism and Cardiovascular Diseases 18: 233-241 DOI 10.1016/j.numecd.2007.02.002.
36. Shah S, Novak S, Stapleton LA, (2006) Evaluation and comparison of models of metabolic syndrome using confirmatory factor analysis. European Journal of Epidemiology 21: 343-349 DOI 10.1007/s10654-006-9004-2.
37. Cureton EE, Mulaik SA, (1975) Weighted Varimax Rotation and Promax Rotation. Psychometrika 40: 183-195.
38. Child D, (1990) The Essentials of Factor Analysis London Cassell Educational Ltd.
39. R Development Core Team (2008) R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria.
40. Lawlor DA, Ebrahim S, May M, Davey Smith G, (2004) (Mis)use of factor analysis in the study of insulin resistance syndrome. American Journal of Epidemiology 159: 1013-1018.