| scholarly article | Q13442814 |
| P356 | DOI | 10.1136/JECH.46.4.417 |
| P953 | full work available at URL | https://europepmc.org/articles/PMC1059612 |
| https://europepmc.org/articles/PMC1059612?pdf=render | ||
| P932 | PMC publication ID | 1059612 |
| P698 | PubMed publication ID | 1431719 |
| P5875 | ResearchGate publication ID | 21723436 |
| P2093 | author name string | C. Kistemaker | |
| F. J. Kok | |||
| F. ten Hoor | |||
| K. F. Hulshof | |||
| M. R. Löwik | |||
| M. Wedel | |||
| R. J. Hermus | |||
| T. Ockhuizen | |||
| ten Hoor F | |||
| P2860 | cites work | Vitamin supplement use, by demographic characteristics | Q68253381 |
| Health practices of the elderly poor | Q69505648 | ||
| Food, eating habits, and health: a further examination of the relationship between food eating patterns and nutritional health | Q70362050 | ||
| Characteristics of individuals with multiple behavioral risk factors for coronary heart disease: the Netherlands | Q70420362 | ||
| Characterizing food usage by demographic variables | Q70516386 | ||
| Food eating patterns and health: a reexamination of the Ten-State and HANES I surveys | Q70749326 | ||
| Obesity in young Dutch adults: I, socio-demographic variables and body mass index | Q71707913 | ||
| Obesity in young Dutch adults: II, daily life-style and body mass index | Q71707916 | ||
| The causes of cancer: quantitative estimates of avoidable risks of cancer in the United States today | Q29615434 | ||
| Obesity in relation to socioeconomic status. A population study of women in Göteborg, Sweden | Q33683936 | ||
| A multivariate analysis of health-related practices: a nine-year mortality follow-up of the Alameda County Study | Q34280028 | ||
| Persistence of health habits and their relationship to mortality | Q34286516 | ||
| Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation | Q36542809 | ||
| Nutrition and aging: dietary intake of "apparently healthy" elderly (Dutch Nutrition Surveillance System). | Q38689641 | ||
| Inter-mediating risk factors in the relation between socioeconomic status and 25-year mortality (the Zutphen Study). | Q39284162 | ||
| Coronary risk factors and socioeconomic status. The Oslo study | Q39413818 | ||
| Coffee, dietary habits, and serum cholesterol among men and women 35-49 years of age. | Q39689815 | ||
| The impact of culture on food-related behavior | Q39738526 | ||
| A multivariate model for assessing eating patterns and their relationship to cardiovascular risk factors: the Bogalusa Heart Study | Q41807669 | ||
| Relationship between socio-demographic and behaviour variables, and body mass index in a population with high-normal blood pressure: Hypertension Prevention Trial | Q41918621 | ||
| Patterns in food use and their associations with nutrient intakes | Q44443872 | ||
| Alcohol drinking and mortality among men enrolled in an American Cancer Society prospective study | Q45285238 | ||
| Relationship of physical health status and health practices | Q46067780 | ||
| Diet and other life-style factors in high and low socio-economic groups (Dutch Nutrition Surveillance System). | Q50134347 | ||
| Cluster analysis of food consumption patterns of older Americans. | Q52642093 | ||
| Nutrient intake and supplementation in the United States (NHANES II). | Q64964999 | ||
| P433 | issue | 4 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 417-424 | |
| P577 | publication date | 1992-08-01 | |
| P1433 | published in | Journal of Epidemiology and Community Health | Q3428712 |
| P1476 | title | Clustering of dietary variables and other lifestyle factors (Dutch Nutritional Surveillance System) | |
| P478 | volume | 46 |
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| Q33702691 | Antioxidant vitamins in the diet: relationships with other personal characteristics in Finland |
| Q44614019 | Association of education with dietary intake among young adults in the bi-ethnic Coronary Artery Risk Development in Young Adults (CARDIA) cohort |
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| Q51789302 | Development and implications of a revised Canadian Healthy Eating Index (HEIC-2009). |
| Q72650380 | Diet and diabetes |
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| Q34029858 | Dietary patterns are associated with lower incidence of type 2 diabetes in middle-aged women: the Shanghai Women's Health Study |
| 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 |
| Q38477090 | Food Cent$--implementing and evaluating a nutrition education project focusing on value for money |
| Q59480292 | Food intake patterns and body mass index in observational studies |
| Q74188964 | Food intake patterns and gallbladder disease in Mexican Americans |
| Q40751946 | Food patterns defined by cluster analysis and their utility as dietary exposure variables: a report from the Malmö Diet and Cancer Study |
| Q79310137 | Health-related behaviours as predictors of mortality and morbidity in Australian Aborigines |
| Q78091419 | Healthy dietary habits in relation to social determinants and lifestyle factors |
| Q37548832 | How to find information on national food and nutrient consumption surveys across Europe: systematic literature review and questionnaires to selected country experts are both good strategies |
| Q41017694 | Indexes of overall diet quality: a review. |
| Q42594502 | Midlife dietary patterns and mortality in the population-based study of Swedish twins |
| Q37192394 | Patterns and predictors of clustered risky health behaviors among adult survivors of childhood cancer: A report from the Childhood Cancer Survivor Study. |
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| Q47148034 | Scientific Opinion on establishing Food‐Based Dietary Guidelines |
| Q50518832 | Smoking, diet, and health behaviors among lead-exposed blue-collar workers. |
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| Q74293350 | The choice of a diet quality indicator to evaluate the nutritional health of populations |
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