Food, eating habits, and health: a further examination of the relationship between food eating patterns and nutritional health

Schwerin, Horace S.; Stanton, John L.; Smith, Jack L.; Riley, Alvin M.; Brett, Barbara E.

doi:10.1093/ajcn/35.5.1319

Cited by 89 publications

(54 citation statements)

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“…Exploratory factor analysis was used to identify underlying patterns of infant feeding responsible for covariation in the data. This method has been applied to examine diets based on food frequency results in order to identify dietary patterns (Barker et al, 1990;Randell et al, 1990;Schwerin et al, 1982).…”

Section: Discussionmentioning

confidence: 99%

Infant feeding practices reflect antecedent risk of xerophthalmia in Nepali children

Gittelsohn

Shankar

et al. 1997

Eur J Clin Nutr

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Section: Discussionmentioning

confidence: 99%

Infant feeding practices reflect antecedent risk of xerophthalmia in Nepali children

Gittelsohn

Shankar

et al. 1997

Eur J Clin Nutr

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“…Dietary pattern analysis, based on the concept that foods eaten together are as important as a reductive methodology characterized by a single food or nutrient analysis, has emerged more than a decade ago as an alternative approach to study the relation between nutrition and disease (Schwerin et al, 1982;Randall et al, 1991). As reviewed by Hu (Hu, 2002), dietary pattern analysis is a better method to examine the effect of overall diet: food and nutrients are not eaten in isolation, and the 'single food or nutrient' approach will not take into account the complex interactions between food and nutrients.…”

Section: Introductionmentioning

confidence: 99%

Dietary patterns and socioeconomic position

et al. 2010

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Background/Objectives: To test a socioeconomic hypothesis on three dietary patterns and to describe the relation between three commonly used methods to determine dietary patterns, namely Healthy Eating Index, Mediterranean Diet Score and principal component analysis. Subjects/Methods: Cross-sectional design in 1852 military men. Using mailed questionnaires, the food consumption frequency was recorded. Results: The correlation coefficients between the three dietary patterns varied between 0.43 and 0.62. The highest correlation was found between Healthy Eating Index and Healthy Dietary Pattern (principal components analysis). Cohen's kappa coefficient of agreement varied between 0.10 and 0.20. After age-adjustment, education and income remained associated with the most healthy dietary pattern. Even when both socioeconomic indicators were used together in one model, higher income and education were associated with higher scores for Healthy Eating Index, Mediterranean Diet Score and Healthy Dietary Pattern. The least healthy quintiles of dietary pattern as measured by the three methods were associated with a clustering of unhealthy behaviors, that is, smoking, low physical activity, highest intake of total fat and saturated fatty acids, and low intakes of fruits and vegetables. Conclusions: The three dietary patterns used indicated that the most healthy patterns were associated with a higher socioeconomic position, while lower patterns were associated with several unhealthy behaviors.

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“…Several early studies used factor analytic techniques to examine patterns of foods consumed in a single day based on 24 h dietary recall measures (Gex-Fabry et al, 1988;Iizumi & Amemiya, 1986;Schwerin et al, 1981;1982). For example, Schwerin et al, (1981) conducted factor analyses of 24 h dietary recall data collected in two large population surveys in the USA.…”

Section: Introductionmentioning

confidence: 99%

Dietary patterns of Australian adults and their association with socioeconomic status: results from the 1995 National Nutrition Survey

et al. 2002

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Objective: To describe dietary patterns among men and women in the Australian population, and to explore how these varied according to socioeconomic status (SES). Design: A cross-sectional self-report population survey, the 1995 Australian National Nutrition Survey (NNS), was used. Setting: Private dwelling sample, covering urban and rural areas across Australia. Subjects: Data provided by 6680 adults aged 18 -64 who participated in the NNS were used in the analyses. Methods: Factor analyses were used to analyse data from a Food Frequency Questionnaire (FFQ) completed by participants. Associations between SES and dietary pattens were assessed using ANOVA. Results: Separate factor analyses of the FFQ data for men and women revealed 15 factors, accounting for approximately 50% of the variance in both men's and women's dietary patterns. Several gender and SES differences in food patterns were observed. Lower SES males more frequently consumed 'tropical fruits', 'protein foods', and 'offal and canned fish', while high SES males more often ate 'breakfast cereals' and 'wholemeal bread'. Lower SES females more often ate 'traditional vegetables', 'meat dishes' and 'pasta, rice and other mixed foods', while high SES females more frequently ate 'ethnic vegetables' and 'breakfast cereal=muesli'. Conclusions: These findings contribute to a better understanding of the dietary patterns that underscore gender-specific SES differences in nutrient intakes. Analyses of the type employed in this study will facilitate the development of interventions aimed at modifying overall eating patterns, rather than specific components of the diet.

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Food, eating habits, and health: a further examination of the relationship between food eating patterns and nutritional health

Cited by 89 publications

References 1 publication

Infant feeding practices reflect antecedent risk of xerophthalmia in Nepali children

Infant feeding practices reflect antecedent risk of xerophthalmia in Nepali children

Dietary patterns and socioeconomic position

Dietary patterns of Australian adults and their association with socioeconomic status: results from the 1995 National Nutrition Survey

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