Empirically derived dietary patterns: interpretability and construct validity according to different factor rotation methods.

This study aimed to investigate the effects of factor rotation methods on interpretability and construct validity of dietary patterns derived in a representative sample of 1,102 Brazilian adults. Dietary patterns were derived from exploratory factor analysis. Orthogonal (varimax) and oblique rotations (promax, direct oblimin) were applied. Confirmatory factor analysis assessed construct validity of the dietary patterns derived according to two factor loading cut-offs (≥ |0.20| and ≥ |0.25|). Goodness-of-fit indexes assessed the model fit. Differences in composition and in interpretability of the first pattern were observed between varimax and promax/oblimin at cut-off ≥ |0.20|. At cut-off ≥ |0.25|, these differences were no longer observed. None of the patterns derived at cut-off ≥ |0.20| showed acceptable model fit. At cut-off ≥ |0.25|, the promax rotation produced the best model fit. The effects of factor rotation on dietary patterns differed according to the factor loading cut-off used in exploratory factor analysis.

[1]  H. Kaiser.  The varimax criterion for analytic rotation in factor analysis , 1958 .

[2]  I. Romieu,et al.  Assessment of dietary patterns in nutritional epidemiology: principal component analysis compared with confirmatory factor analysis. , 2012, The American journal of clinical nutrition.

[3]  B. Metcalf,et al.  Consistency of children's dietary choices: annual repeat measures from 5 to 13 years (EarlyBird 49). , 2011, British Journal of Nutrition.

[4]  J. Boer,et al.  Dietary patterns derived from principal component- and k-means cluster analysis: long-term association with coronary heart disease and stroke. , 2013, Nutrition, metabolism, and cardiovascular diseases : NMCD.

[5]  P. Boffetta,et al.  Nutrient patterns and risk of squamous cell carcinoma of the esophagus: a factor analysis in uruguay. , 2008, Anticancer research.

[6]  Regina Mara Fisberg,et al.  Manual de receitas e medidas caseiras para cálculo de inquéritos alimentares: manual elaborado para auxiliar o processamento de dados de inquéritos alimentares , 2002 .

[7]  D. Jacobs,et al.  Nutrients, foods, and dietary patterns as exposures in research: a framework for food synergy. , 2003, The American journal of clinical nutrition.

[8]  F. Floyd,et al.  Factor analysis in the development and refinement of clinical assessment instruments. , 1995 .

[9]  S. Quandt,et al.  Dietary patterns of older adults in a rural, tri-ethnic community: a factor analysis approach , 2003 .

[10]  Demosthenes B. Panagiotakos,et al.  The Role of Rotation Type used to Extract Dietary Patterns through Principal Component Analysis, on their Short-Term Repeatability , 2021 .

[11]  T. Sørensen,et al.  Consistency of food intake factors by different dietary assessment methods and population groups , 2003, British Journal of Nutrition.

[12]  Frank B. Hu,et al.  Dietary pattern analysis: a new direction in nutritional epidemiology , 2002, Current opinion in lipidology.

[13]  Denis Muller,et al.  Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods. , 2004, The American journal of clinical nutrition.

[14]  B. Zinman,et al.  Specific patterns of food consumption and preparation are associated with diabetes and obesity in a Native Canadian community. , 1998, The Journal of nutrition.

[15]  S. McNaughton,et al.  Dietary patterns throughout adult life are associated with body mass index, waist circumference, blood pressure, and red cell folate. , 2007, The Journal of nutrition.

[16]  B. Muthén,et al.  Exploratory Structural Equation Modeling , 2009 .

[17]  S. Jee,et al.  A fruit and dairy dietary pattern is associated with a reduced risk of metabolic syndrome. , 2012, Metabolism: clinical and experimental.

[18]  D R Jacobs,et al.  Reductionism and the narrowing nutrition perspective: time for reevaluation and emphasis on food synergy. , 2001, Journal of the American Dietetic Association.

[19]  Z. M. Shariff,et al.  Dietary patterns and risk of colorectal cancer in Tehran Province: a case–control study , 2013, BMC Public Health.

[20]  Tom Baranowski,et al.  Need for technological innovation in dietary assessment. , 2010, Journal of the American Dietetic Association.

[21]  D. Marchioni,et al.  Associations between dietary patterns and self-reported hypertension among Brazilian adults: a cross-sectional population-based study. , 2014, Journal of the Academy of Nutrition and Dietetics.

[22]  Michael R. Mullen,et al.  Structural equation modelling: guidelines for determining model fit , 2008 .

[23]  James C. Hayton,et al.  Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis , 2004 .

[24]  R. Khattree,et al.  Empirically derived dietary patterns and risk of postmenopausal breast cancer in a large prospective cohort study. , 2005, The American journal of clinical nutrition.

[25]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

[26]  J. Eluf-Neto,et al.  Dietary patterns and risk of oral cancer: a case-control study in São Paulo, Brazil. , 2007, Revista de saude publica.

[27]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[28]  Y. Ohashi,et al.  Dietary pattern and mortality in Japanese elderly patients with type 2 diabetes mellitus: Does a vegetable‐ and fish‐rich diet improve mortality? An explanatory study , 2012, Geriatrics & gerontology international.

[29]  Eliza Maria da Costa Brito Lacerda,et al.  Tabela para avaliação de consumo alimentar em medidas caseiras , 2008 .

[30]  Jiae Shin,et al.  Associations between dietary patterns and hypertension among Korean adults: the Korean National Health and Nutrition Examination Survey (2008-2010) , 2013, Nutrition research and practice.

[31]  D. English,et al.  Dietary patterns and cardiovascular mortality in the Melbourne Collaborative Cohort Study. , 2007, The American journal of clinical nutrition.

[32]  D. Cunha,et al.  Dietary patterns associated with anthropometric indicators of abdominal fat in adults. , 2014, Cadernos de saude publica.

[33]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[34]  Duane T. Wegener,et al.  Evaluating the use of exploratory factor analysis in psychological research. , 1999 .

[35]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[36]  Aluísio J. D. Barros,et al.  Dietary patterns and associated factors among children one to six years of age in a city in southern Brazil , 2013 .

[37]  H. Cohen,et al.  Dietary patterns differ between urban and rural older, long-term survivors of breast, prostate, and colorectal cancer and are associated with body mass index. , 2012, Journal of the Academy of Nutrition and Dietetics.

[38]  Daniel A. Sass,et al.  Factor Loading Estimation Error and Stability Using Exploratory Factor Analysis , 2010 .

[39]  J. P. Peter.  Construct Validity: A Review of Basic Issues and Marketing Practices , 1981 .

[40]  Ji Eun Lee,et al.  Dietary pattern classifications and the association with general obesity and abdominal obesity in Korean women , 2012, Journal of the Academy of Nutrition and Dietetics.

[41]  L. Steinfeldt,et al.  An overview of USDA's Dietary Intake Data System , 2004 .

[42]  A. Wolk,et al.  Long-term stability of food patterns identified by use of factor analysis among Swedish women. , 2006, The Journal of nutrition.

[43]  H. Abdi.  Factor Rotations in Factor Analyses , 2003 .

[44]  D. Cunha,et al.  Association of dietary patterns with BMI and waist circumference in a low-income neighbourhood in Brazil , 2010, British Journal of Nutrition.

[45]  Deborah L. Bandalos,et al.  Four Common Misconceptions in Exploratory Factor Analysis , 2008 .

[46]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[47]  R. Sichieri,et al.  [Factors associated with dietary patterns in the urban Brazilian population]. , 2003, Cadernos de saude publica.

[48]  M. Rahim,et al.  Confirmatory factor analysis of the styles of handling interpersonal conflict: first-order factor model and its invariance across groups. , 1995, The Journal of applied psychology.

[49]  M. Browne.  An Overview of Analytic Rotation in Exploratory Factor Analysis , 2001 .

[50]  Katherine L Tucker,et al.  Assessment of usual dietary intake in population studies of gene-diet interaction. , 2007, Nutrition, metabolism, and cardiovascular diseases : NMCD.

[51]  J. Stevens,et al.  Dietary Intake and the Development of the Metabolic Syndrome: The Atherosclerosis Risk in Communities Study , 2008, Circulation.

[52]  H. Boeing,et al.  The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method , 2011, European Journal of Clinical Nutrition.

[53]  Toni Rietveld,et al.  Statistical Techniques for the Study of Language and Language Behaviour , 1993 .