Literature DB >> 15155285

(Mis)use of factor analysis in the study of insulin resistance syndrome.

Debbie A Lawlor1, Shah Ebrahim, Margaret May, George Davey Smith.   

Abstract

Over the last decade, factor analysis has been used increasingly to describe patterns of simultaneous occurrence of the central components of the insulin resistance syndrome. In this paper, the authors describe factor analysis, review studies that have used factor analysis to examine the insulin resistance syndrome, and explore how factor analysis might be used to increase our understanding of this syndrome. Most studies that they reviewed gave vague reasons for using factor analysis and did not demonstrate an understanding of the use and limitations of this statistical method. Confirmatory factor analysis based on sound theoretical concepts and a clear understanding of the statistical methods may provide some insights into the pathophysiology of the syndrome. However, to date none of the studies has adopted this approach, and other statistical approaches and study designs are likely to provide greater understanding of the syndrome.

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Year:  2004        PMID: 15155285     DOI: 10.1093/aje/kwh150

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  36 in total

1.  Practical way to assess metabolic syndrome using a continuous score obtained from principal components analysis.

Authors:  T A Hillier; A Rousseau; C Lange; P Lépinay; M Cailleau; M Novak; E Calliez; P Ducimetière; B Balkau
Journal:  Diabetologia       Date:  2006-05-16       Impact factor: 10.122

2.  Empirical evidence for "syndrome Z": a hierarchical 5-factor model of the metabolic syndrome incorporating sleep disturbance measures.

Authors:  Nora L Nock; Li Li; Emma K Larkin; Sanjay R Patel; Susan Redline
Journal:  Sleep       Date:  2009-05       Impact factor: 5.849

3.  Developing summary scores of health-related quality of life for a population-based survey.

Authors:  Willi Horner-Johnson; Gloria Krahn; Elena Andresen; Trevor Hall
Journal:  Public Health Rep       Date:  2009 Jan-Feb       Impact factor: 2.792

4.  Socio-economic status and oesophageal cancer: results from a population-based case-control study in a high-risk area.

Authors:  Farhad Islami; Farin Kamangar; Dariush Nasrollahzadeh; Karim Aghcheli; Masoud Sotoudeh; Behnoush Abedi-Ardekani; Shahin Merat; Siavosh Nasseri-Moghaddam; Shahryar Semnani; Alireza Sepehr; Jon Wakefield; Henrik Møller; Christian C Abnet; Sanford M Dawsey; Paolo Boffetta; Reza Malekzadeh
Journal:  Int J Epidemiol       Date:  2009-05-04       Impact factor: 7.196

5.  Clustering of leptin and physical activity with components of metabolic syndrome in Iranian population: an exploratory factor analysis.

Authors:  Alireza Esteghamati; Ali Zandieh; Omid Khalilzadeh; Afsaneh Morteza; Alipasha Meysamie; Manouchehr Nakhjavani; Mohammad Mehdi Gouya
Journal:  Endocrine       Date:  2010-07-11       Impact factor: 3.633

6.  Development and initial validation of a measure of parents' preferences for behavioral counseling in primary care.

Authors:  Andrew R Riley; Bethany L Walker; Trevor A Hall
Journal:  Fam Syst Health       Date:  2020-04-16       Impact factor: 1.950

7.  Novel circulating fatty acid patterns and risk of cardiovascular disease: the Cardiovascular Health Study.

Authors:  Fumiaki Imamura; Rozenn N Lemaitre; Irena B King; Xiaoling Song; Alice H Lichtenstein; Nirupa R Matthan; David M Herrington; David S Siscovick; Dariush Mozaffarian
Journal:  Am J Clin Nutr       Date:  2012-10-24       Impact factor: 7.045

8.  The factor structure of the metabolic syndrome in obese individuals with binge eating disorder.

Authors:  Tomoko Udo; Sherry A McKee; Marney A White; Robin M Masheb; Rachel D Barnes; Carlos M Grilo
Journal:  J Psychosom Res       Date:  2013-10-18       Impact factor: 3.006

Review 9.  The metabolic syndrome: time for a critical appraisal. Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes.

Authors:  R Kahn; J Buse; E Ferrannini; M Stern
Journal:  Diabetologia       Date:  2005-09       Impact factor: 10.122

10.  Psychological risk factors and the metabolic syndrome in patients with coronary heart disease: findings from the Heart and Soul Study.

Authors:  Beth E Cohen; Praveen Panguluri; Beeya Na; Mary A Whooley
Journal:  Psychiatry Res       Date:  2009-12-06       Impact factor: 3.222

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