Dataset Information

Food prices are associated with dietary quality, fast food consumption, and body mass index among U.S. children and adolescents.

ABSTRACT: Food prices are expected to affect dietary intakes, however, previous findings are mixed and few are based on nationally representative data. We examined the associations of price indices of fast foods (FF-PI) and fruits and vegetables (FV-PI) with dietary intakes and BMI among U.S. children and adolescents using data from the Continuing Survey of Food Intakes by Individuals (CSFII; 1994-1998) for 6759 children (2-9 y) and 1679 adolescents (10-18 y). FF-PI and FV-PI were linked to individuals' CSFII dietary data through city-level geocodes. Main outcomes included intakes of selected nutrients and food groups, a fast food consumption index (FF-CI), diet quality using the 2005 Healthy Eating Index (HEI), and BMI. Among children (2-9 y), a higher FF-PI (by $1) was associated with intakes of lower FF-CI (? ± SE: -0.9 ± 0.3 count/d), higher HEI (6.6 ± 2.5), higher intakes of fiber (2.7 ± 0.7 g/d), calcium (225.7 ± 52.3 mg/d), dairy (172.5 ± 36.2 g/d), and fruits and vegetables (113.3 ± 23.4 cup equivalents/d). FV-PI was inversely related to fiber intake (? ± SE: -3.3 ± 1.5 g/d) and positively associated with BMI (4.3 ± 1.2 kg/m(2)). Less consistent findings were ascribed to FV-PI and among adolescents (10-18 y). Significant associations were almost equally balanced between low and high family income groups, with some significant interactions between food prices and family income observed, particularly among children (2-9 y). Our findings suggest that among U.S. children aged 2-9 y, higher FF-PI is associated with better dietary quality, whereas higher FV-PI is linked to higher BMI and lower fiber intake. Associations varied by family income in children for many dietary intake variables.

SUBMITTER: Beydoun MA

PROVIDER: S-EPMC3021450 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature

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Food prices are associated with dietary quality, fast food consumption, and body mass index among U.S. children and adolescents.

Beydoun May A MA Powell Lisa M LM Chen Xiaoli X Wang Youfa Y

The Journal of nutrition 20101222 2

Food prices are expected to affect dietary intakes, however, previous findings are mixed and few are based on nationally representative data. We examined the associations of price indices of fast foods (FF-PI) and fruits and vegetables (FV-PI) with dietary intakes and BMI among U.S. children and adolescents using data from the Continuing Survey of Food Intakes by Individuals (CSFII; 1994-1998) for 6759 children (2-9 y) and 1679 adolescents (10-18 y). FF-PI and FV-PI were linked to individuals' C ...[more]

PMID: 21178080

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Project description:ObjectiveTo investigate whether reported fast-food consumption over the previous year is associated with higher childhood or adolescent body mass index (BMI).DesignSecondary analysis from a multicentre, multicountry cross-sectional study (International Study of Asthma and Allergies in Children (ISAAC) Phase Three).Subjects and methodsParents/guardians of children aged 6-7 completed questionnaires which included questions about their children's asthma and allergies, fast-food consumption, height and weight. Adolescents aged 13-14 completed the same questionnaire. The questionnaire asked "In the past 12 months, how often on average did you (your child) eat fast-food/burgers?" The responses were infrequent (never/only occasionally), frequent (once/twice a week) or very frequent (three or more times per week). A general linear mixed model was used to determine the association between BMI and fast-food consumption, adjusting for Gross National Income per capita by country, measurement type (whether heights/weights were reported or measured), age and sex.Results72,900 children (17 countries) and 199,135 adolescents (36 countries) provided data. Frequent and very frequent fast-food consumption was reported in 23% and 4% of children, and 39% and 13% of adolescents, respectively. Children in the frequent and very frequent groups had a BMI that was 0.15 and 0.22 kg/m(2) higher than those in the infrequent group (p<0.001). Male adolescents in the frequent and very frequent groups had a BMI that was 0.14 and 0.28 kg/m(2) lower than those in the infrequent group (p<0.001). Female adolescents in the frequent and very frequent groups had a BMI that was 0.19 kg/m(2) lower than those in the infrequent group (p<0.001).ConclusionsReported fast-food consumption is high in childhood and increases in adolescence. Compared with infrequent fast-food consumption, frequent and very frequent consumption is associated with a higher BMI in children. Owing to residual confounding, reverse causation and likely misreporting, the reverse association observed in adolescents should be interpreted with caution.

Project description:BackgroundAlthough the relationship between residential food environments and health outcomes have been extensively studied, the relationship between body mass index (BMI) and multiple food environments have not been fully explored. We examined the relationship between characteristics of three distinct food environments and BMI among elementary school employees in the metropolitan area of New Orleans, LA. We assessed the food environments around the residential and worksite neighborhoods and the commuting corridors.Research methodology/principal findingsThis study combined data from three different sources: individual and worksite data (ACTION), food retailer database (Dunn and Bradstreet), and the U.S. Census TIGER/Line Files. Spatial and hierarchical analyses were performed to explore the impact of predictors at the individual and environmental levels on BMI. When the three food environments were combined, the number of supermarkets and the number of grocery stores at residential food environment had a significant association with BMI (β = 0.56 and β = 0.24, p < 0.01), whereas the number of full-service restaurants showed an inverse relationship with BMI (β = -0.15, p < 0.001). For the commute corridor food environment, it was found that each additional fast-food restaurant in a vicinity of one kilometer traveled contributed to a higher BMI (β = 0.80, p <0.05), while adjusting for other factors. No statistical associations were found between BMI and worksite food environment.ConclusionsThe current study was the first to examine the relationship between BMI and food environments around residential neighborhoods, work neighborhoods, and the commuting corridor. Significant results were found between BMI and the availability of food stores around residential neighborhoods and the commuting corridor, adjusted for individual-level factors. This study expands the analysis beyond residential neighborhoods, illustrating the importance of multiple environmental factors in relation to BMI.

Project description:ObjectiveTo examine the interactions between genetic predisposition and consumption of fried food in relation to body mass index (BMI) and obesity.DesignProspective cohort study.SettingHealth professionals in the United States.Participants9623 women from the Nurses' Health Study, 6379 men from the Health Professionals Follow-up Study, and a replication cohort of 21,421 women from the Women's Genome Health Study.Main outcome measureRepeated measurement of BMI over follow-up.ResultsThere was an interaction between fried food consumption and a genetic risk score based on 32 BMI-associated variants on BMI in both the Nurses' Health Study and Health Professionals Follow-up Study (P ≤ 0.001 for interaction). Among participants in the highest third of the genetic risk score, the differences in BMI between individuals who consumed fried foods four or more times a week and those who consumed fried foods less than once a week amounted to 1.0 (SE 0.2) in women and 0.7 (SE 0.2) in men, whereas the corresponding differences were 0.5 (SE 0.2) and 0.4 (SE 0.2) in the lowest third of the genetic risk score. The gene-diet interaction was replicated in the Women's Genome Health Study (P<0.001 for interaction). Viewed differently, the genetic association with adiposity was strengthened with higher consumption of fried foods. In the combined three cohorts, the differences in BMI per 10 risk alleles were 1.1 (SE 0.2), 1.6 (SE 0.3), and 2.2 (SE 0.6) for fried food consumption less than once, one to three times, and four or more times a week (P<0.001 for interaction); and the odds ratios (95% confidence intervals) for obesity per 10 risk alleles were 1.61 (1.40 to 1.87), 2.12 (1.73 to 2.59), and 2.72 (2.12 to 3.48) across the three categories of consumption (P=0.002 for interaction). In addition, the variants in or near genes highly expressed or known to act in the central nervous system showed significant interactions with fried food consumption, with the FTO (fat mass and obesity associated) variant showing the strongest result (P<0.001 for interaction).ConclusionOur findings suggest that consumption of fried food could interact with genetic background in relation to obesity, highlighting the particular importance of reducing fried food consumption in individuals genetically predisposed to obesity.

Dataset Information

Food prices are associated with dietary quality, fast food consumption, and body mass index among U.S. children and adolescents.

Publications

Food prices are associated with dietary quality, fast food consumption, and body mass index among U.S. children and adolescents.

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