| scholarly article | Q13442814 |
| P356 | DOI | 10.1016/S0002-8223(97)00071-0 |
| P698 | PubMed publication ID | 9060944 |
| P2093 | author name string | R W Jeffery | |
| A K Wirfält | |||
| P2860 | cites work | Clustering of dietary variables and other lifestyle factors (Dutch Nutritional Surveillance System) | Q33701229 |
| A data-based approach to diet questionnaire design and testing | Q34189078 | ||
| Dietary antioxidant flavonoids and risk of coronary heart disease: the Zutphen Elderly Study | Q34726987 | ||
| A meta-analysis of studies of dietary fat and breast cancer risk | Q35976687 | ||
| Vegetables, fruit, and cancer. II. Mechanisms. | Q36889264 | ||
| Vegetables, fruit, and cancer. I. Epidemiology | Q37110546 | ||
| Dietary patterns associated with a low-fat diet in the national health examination follow-up study: identification of potential confounders for epidemiologic analyses | Q38565427 | ||
| Fat and colon cancer: how firm is the epidemiologic evidence? | Q39753662 | ||
| A review of validations of dietary assessment methods | Q40329160 | ||
| Diet and 20-year mortality from coronary heart disease. The Ireland-Boston Diet-Heart Study | Q41360407 | ||
| Dietary phytoestrogens and cancer: in vitro and in vivo studies | Q41638504 | ||
| A multivariate model for assessing eating patterns and their relationship to cardiovascular risk factors: the Bogalusa Heart Study | Q41807669 | ||
| Physical activity as an index of heart attack risk in college alumni | Q41870363 | ||
| Implications for cancer epidemiology of differences in dietary intake associated with alcohol consumption | Q41966033 | ||
| Comparison of a low-fat, ad libitum complex-carbohydrate diet with a low-energy diet in moderately obese women | Q44453957 | ||
| Dietary Fat and Postmenopausal Breast Cancer | Q45347121 | ||
| Diet and 20-y mortality in two rural population groups of middle-aged men in Italy | Q45760777 | ||
| Strengthening behavioral interventions for weight loss: a randomized trial of food provision and monetary incentives | Q47384689 | ||
| Changes in body weight, body composition, and energy intake in women fed high- and low-fat diets | Q47426966 | ||
| Energy adjustment methods for nutritional epidemiology: the effect of categorization. | Q52883066 | ||
| Diet quality index: capturing a multidimensional behavior. | Q52884516 | ||
| Nutritional Factors and Gastric Cancer in Spain | Q57271547 | ||
| Dietary patterns and colon cancer in western New York | Q67479280 | ||
| Risk of angina pectoris and plasma concentrations of vitamins A, C, and E and carotene | Q68289613 | ||
| Effects of starch, sucrose, fructose and glucose on chromium absorption and tissue concentrations in obese and lean mice | Q69386659 | ||
| Diet and obesity | Q70101578 | ||
| A reduced dietary questionnaire: development and validation | Q70254360 | ||
| Food, eating habits, and health: a further examination of the relationship between food eating patterns and nutritional health | Q70362050 | ||
| Variety is still the spice of a healthful diet. A look at proposed revisions for the 1995 Dietary Guidelines for Americans. Dietary Guidelines Advisory Committee | Q71745912 | ||
| Dietary Patterns and Cardiovascular Risk Factors in Elderly Men: The Zutphen Elderly Study | Q71959369 | ||
| Assessing change in diet-intervention research | Q72701702 | ||
| Measuring the effect of a worksite-based nutrition intervention on food consumption | Q72705072 | ||
| P433 | issue | 3 | |
| P921 | main subject | cluster analysis | Q622825 |
| nutrient intake | Q61781968 | ||
| P304 | page(s) | 272-279 | |
| P577 | publication date | 1997-03-01 | |
| P1433 | published in | Journal of the American Dietetic Association | Q15751299 |
| P1476 | title | Using cluster analysis to examine dietary patterns: nutrient intakes, gender, and weight status differ across food pattern clusters | |
| P478 | volume | 97 |
| Q36634278 | A comparison of the dietary patterns derived by principal component analysis and cluster analysis in older Australians |
| Q34015539 | A risk assessment model for type 2 diabetes in Chinese |
| Q34078718 | An Obesity Dietary Quality Index Predicts Abdominal Obesity in Women: Potential Opportunity for New Prevention and Treatment Paradigms |
| Q35848420 | Analysis of Dietary Pattern Impact on Weight Status for Personalised Nutrition through On-Line Advice: The Food4Me Spanish Cohort |
| Q47254923 | Baseline dietary patterns are a significant consideration in correcting dietary exposure for weight loss |
| Q47358823 | Changes of dietary patterns during participation in a web-based weight-reduction programme |
| Q35204941 | Comparison of eating habits in obese and non-obese Filipinas living in an urban area of Japan |
| Q64899497 | Consumption Patterns of Grain-Based Foods among Adults in Canada: Evidence from Canadian Community Health Survey-Nutrition 2015. |
| Q64094638 | Consumption Patterns of Grain-Based Foods among Children and Adolescents in Canada: Evidence from Canadian Community Health Survey-Nutrition 2015 |
| Q37202115 | Cross-sectional association of dietary patterns with insulin-resistant phenotypes among adults without diabetes in the Framingham Offspring Study |
| Q44781025 | Determinants of serum zinc concentrations in a population of French middle-age subjects (SU.VI.MAX cohort). |
| Q38662855 | Diet and Risk of Cholecystectomy: A Prospective Study Based on the French E3N Cohort |
| Q33554117 | Diet and lifestyle factors and risk of subtypes of esophageal and gastric cancers: classification tree analysis |
| Q36980467 | Diet quality and obesity in women: the Framingham Nutrition Studies |
| Q64279969 | Dietary Pattern and Risk of Multiple Myeloma in Two Large Prospective US Cohort Studies |
| Q42832052 | Dietary Patterns and Breast Cancer Risk in Korean Women |
| Q49336442 | Dietary Patterns and Colorectal Cancer Risk: A Review of 17 Years of Evidence (2000-2016). |
| Q47370255 | Dietary Patterns of Hispanic Elders Are Associated with Acculturation and Obesity |
| Q44675095 | Dietary and nutritional patterns in an elderly rural population in Northern and Southern Italy: (I). A cluster analysis of food consumption |
| Q44675098 | Dietary and nutritional patterns in an elderly rural population in Northern and Southern Italy: (II). Nutritional profiles associated with food behaviours |
| Q30936515 | Dietary habits in three Central and Eastern European countries: the HAPIEE study |
| Q37328361 | Dietary patterns and health and nutrition outcomes in men living with HIV infection |
| Q46399259 | Dietary patterns and lifestyle factors in the Norwegian EPIC cohort: the Norwegian Women and Cancer (NOWAC) study |
| Q43977057 | Dietary patterns and nutrient intakes of 7-year-old children taking part in an atherosclerosis prevention project in Finland |
| Q35677241 | Dietary patterns are associated with disease risk among participants in the Women's Health Initiative Observational Study |
| Q39212355 | Dietary patterns as predictors of body fat and BMI in women: a factor analytic study |
| Q45153343 | Dietary patterns in middle-aged Irish men and women defined by cluster analysis. |
| Q34127283 | Dietary patterns of Pakistani adults and their associations with sociodemographic, anthropometric and life-style factors |
| Q45297385 | Dietary patterns, approaches, and multicultural perspective |
| Q45239692 | Differences in preferences of entrees by elderly congregate meal participants according to age, gender, ethnicity and education and a factor analysis approach to group entrée preferences |
| Q35645931 | Effect of energy under-reporting on secular trends of dietary patterns in a mediterranean population. |
| Q43761393 | Evaluation of dietary quality in relationship to nutritional and lifestyle factors in elderly people of the US Framingham Heart Study and the European SENECA study |
| Q36103100 | Exercise effects on lipids in persons with varying dietary patterns-does diet matter if they exercise? Responses in Studies of a Targeted Risk Reduction Intervention through Defined Exercise I |
| Q36623776 | Explaining nutritional habits and behaviors of low socioeconomic status women in Sanandaj: a qualitative content analysis |
| Q34552374 | Food and drinking patterns as predictors of 6-year BMI-adjusted changes in waist circumference |
| Q37729110 | Food expenditure patterns in the Canadian Arctic show cause for concern for obesity and chronic disease. |
| Q59480292 | Food intake patterns and body mass index in observational studies |
| Q40751946 | Food patterns defined by cluster analysis and their utility as dietary exposure variables: a report from the Malmö Diet and Cancer Study |
| Q54045138 | Fruit and juice intake associated with higher Dietary Status Index in rural east Tennessee women living in public housing. |
| Q51801660 | Fruit and vegetable consumption and body mass index: a quantile regression approach. |
| Q96811807 | Healthy and Unhealthy Dietary Patterns and the Risk of Chronic Disease: An Umbrella Review of Meta-Analyses of Prospective Cohort Studies |
| Q37628492 | How Often and How Much? Differences in Dietary Intake by Frequency and Energy Contribution Vary among U.S. Adults in NHANES 2007-2012. |
| Q78106247 | Impact of adopting lower-fat food choices on energy and nutrient intakes of American adults |
| Q92070676 | Implementation of a New Food Picture Database in the Context of fMRI and Visual Cognitive Food-Choice Task in Healthy Volunteers |
| Q33852065 | Lifestyle Patterns and Weight Status in Spanish Adults: The ANIBES Study. |
| Q42594502 | Midlife dietary patterns and mortality in the population-based study of Swedish twins |
| Q37714612 | Patterns of dairy food intake, body composition and markers of metabolic health in Ireland: results from the National Adult Nutrition Survey. |
| Q89749741 | Prediagnosis dietary pattern and survival in patients with multiple myeloma |
| Q35028384 | Principal component analysis of dietary and lifestyle patterns in relation to risk of subtypes of esophageal and gastric cancer |
| Q38743231 | Prospective associations between dietary patterns and high sensitivity C-reactive protein in European children: the IDEFICS study |
| Q34474509 | Reductionism and the narrowing nutrition perspective: time for reevaluation and emphasis on food synergy |
| Q90442308 | Reproducibility and Validity of A Posteriori Dietary Patterns: A Systematic Review |
| Q47148034 | Scientific Opinion on establishing Food‐Based Dietary Guidelines |
| Q53950173 | Snack patterns of older Europeans. |
| Q57241574 | Socioeconomic differences in dietary patterns among middle-aged men and women |
| Q58805139 | The Associations between Dietary Patterns and Sedentary Behaviors in Polish Adults (LifeStyle Study) |
| Q37202690 | The Effect of the Sodium to Potassium Ratio on Hypertension Prevalence: A Propensity Score Matching Approach |
| Q35564162 | The changing environment and population obesity in the United States |
| Q74293350 | The choice of a diet quality indicator to evaluate the nutritional health of populations |
| Q53296154 | The influence of health behavior clusters on dietary change. |
| Q35408124 | The internal validity of a dietary pattern analysis. The Framingham Nutrition Studies. |
| Q41007521 | The relationship between a low grain intake dietary pattern and impulsive behaviors in middle-aged Japanese people |
| Q38032031 | The use of cluster analysis to derive dietary patterns: methodological considerations, reproducibility, validity and the effect of energy mis-reporting |
| Q35571236 | Time use and food pattern influences on obesity |
| Q46603081 | Traditional v. modified dietary patterns and their influence on adolescents' nutritional profile |
| Q34438180 | Treatment approaches: food first for weight management and health |
| Q73674377 | Understanding dietary patterns essential to patient care |
| Q73678839 | Validation of a dietary pattern approach for evaluating nutritional risk: the Framingham Nutrition Studies |
| Q30989030 | Who eats four or more servings of fruit and vegetables per day? Multivariate classification tree analysis of data from the 1998 Survey of Lifestyle, Attitudes and Nutrition in the Republic of Ireland |
| Q47279203 | Why Americans eat what they do: taste, nutrition, cost, convenience, and weight control concerns as influences on food consumption. |
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