Dietary Patterns of Young, Low-Income US Children

Knol, Linda L.; Haughton, Betsy; Fitzhugh, Eugene C.

doi:10.1016/j.jada.2005.08.012

Cited by 55 publications

(63 citation statements)

References 21 publications

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“…This finding is partially in agreement with those detected in other similar studies conducted in the United States of America and Spain (Batsiotis et al, 2002;Royo-Bordonada et al, 2003;Feskanich et al, 2004;Knol Batsiotis et al (2002) reported that the mean value of the HEI score was 66 for children aged 7-10 years, 61.4 and 60.8 for females and males aged 11-14 years, respectively . A little higher HEI score was found in a study carried out among the US children aged 6-11 years (that is, the HEI mean score ranged between 63.2 and 69.9) and in lowincome US children aged 4-8 years (that is, the HEI mean score was 65.8 for light eaters and 69.6 for substituters) (Knol et al, 2005;LaRowe et al, 2007). Moreover, comparing the results of this work with those from a study conducted in another Mediterranean country (that is, Spain) among children aged 6-7 years, it was observed that diet quality of the current population is a little lower than that of Spanish children (that is, mean HEI score: 64.6).…”

Section: Discussionsupporting

confidence: 91%

Assessing children's diet quality in Crete based on Healthy Eating Index: The Children Study

et al. 2009

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Background: This study aimed to assess children's diet quality in Crete and the potential role of several socio-demographic factors related to it. Methods: Between October 2005 and March 2006, 481 primary school children were recruited from Crete. Dietary intake data was obtained using a combination of techniques comprising a 24 h recall and 3 food diaries. The Healthy Eating Index (HEI) was calculated summing the individual scores (0-10) assigned to 10 index components. Results: The majority of participants (84.5%) had diet that 'needs improvement' (HEI score: 51-80). Twelve percent of participants had 'poor diet' and only 3.5% of schoolchildren had 'good diet' (HEI score 480). The overall mean of the HEI score was 60.5. The mean values of the HEI components score ranged between 2.8 (that is, the HEI component that measures vegetables intake) and 9.9 (that is, component that expresses the variety of consumed foods). Low mean values were found in the total fat and saturated fat components (3.7 and 3.4, respectively). Moreover, the HEI score was strongly associated with dietary macronutrients and micronutrients intake. Conclusion: On the basis of the HEI score, the vast majority of children were found to have a diet that 'needs improvement'. This indicates the increased necessity of drawing and implementing nutrition education programs targeting both children and their families and aiming to increase vegetables and fruits intake and reduce fat intake.

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Section: Discussionsupporting

confidence: 91%

Assessing children's diet quality in Crete based on Healthy Eating Index: The Children Study

et al. 2009

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“…This is further supported by a study that identified an eating pattern among children, termed substituters, in which young children had higher intakes of dairy and lower intakes of meats and beans, thus substituting dairy for meat and beans to meet protein requirements. 37 This may indicate that parents are making dietary decisions for their child based on what foods their child dislikes. For example, a parent may observe that the child does not like meat, and to fill the protein void, may offer the child more dairy products.…”

Section: Discussionmentioning

confidence: 99%

“…For example, a parent may observe that the child does not like meat, and to fill the protein void, may offer the child more dairy products. 37 Thus, parents, including fathers, may benefit from interventions focusing on introducing new foods, including protein options, to young children, as well as on how to deal with picky eaters.…”

Section: Discussionmentioning

confidence: 99%

Investigating the Relationship of Body Mass Index, Diet Quality, and Physical Activity Level between Fathers and Their Preschool-Aged Children

Vollmer¹,

Adamsons²,

Gorin³

et al. 2015

Journal of the Academy of Nutrition and Dietetics

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“…Campain et al (2003) identified six clusters, in Australian 12 to 13 year olds, distinguished by sugar and starch consumption. Knol et al (2005) conducted cluster analyses in low-income US children: 2-3 and 4-8 year olds. There were six and seven clusters present in each age group, respectively; no clusters were similar to any in this study.…”

Section: Discussionmentioning

confidence: 99%

A comparison of dietary patterns derived by cluster and principal components analysis in a UK cohort of children

et al. 2011

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Background/Objectives: The objective of this study was to identify dietary patterns in a cohort of 7-year-old children through cluster analysis, compare with patterns derived by principal components analysis (PCA), and investigate associations with sociodemographic variables. Subjects/Methods: The main caregivers in the Avon Longitudinal Study of Parents and Children (ALSPAC) recorded dietary intakes of their children (8279 subjects) using a 94-item food frequency questionnaire. Items were then collapsed into 57 food groups. Dietary patterns were identified using k-means cluster analysis and associations with sociodemographic variables examined using multinomial logistic regression. Clusters were compared with patterns previously derived using PCA. Results: Three distinct clusters were derived: Processed (4177 subjects), associated with higher consumption of processed foods and white bread, Plant-based (2065 subjects), characterized by higher consumption of fruit, vegetables and non-white bread, and Traditional British (2037 subjects), associated with higher consumption of meat, vegetables and full-fat milk. Membership of the Processed cluster was positively associated with girls, younger mothers, snacking and older siblings. Membership of the Plant-based cluster was associated with higher educated mothers and vegetarians. The Traditional British cluster was associated with council housing and younger siblings. The three clusters were similar to the three dietary patterns obtained through PCA; each principal component score being higher on average in the corresponding cluster. Conclusions: Both cluster analysis and PCA identified three dietary patterns very similar both in the foods associated with them and sociodemographic characteristics. Both methods are useful for deriving meaningful dietary patterns.

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Dietary Patterns of Young, Low-Income US Children

Cited by 55 publications

References 21 publications

Assessing children's diet quality in Crete based on Healthy Eating Index: The Children Study

Assessing children's diet quality in Crete based on Healthy Eating Index: The Children Study

Investigating the Relationship of Body Mass Index, Diet Quality, and Physical Activity Level between Fathers and Their Preschool-Aged Children

A comparison of dietary patterns derived by cluster and principal components analysis in a UK cohort of children

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