Exploring Dietary Behavior Differences among Children by Race/Ethnicity and Socioeconomic Status
ABSTRACT BACKGROUND In Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in eating behavior of youth by race/ethnicity and socioeconomic status. METHODS Students (N = 997) in 4th to 5th grades completed the School Nutri...
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Published in | The Journal of school health Vol. 90; no. 8; pp. 658 - 664 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Malden, USA
Wiley Periodicals, Inc
01.08.2020
Wiley-Blackwell American School Health Association Blackwell Publishing Ltd |
Subjects | |
Online Access | Get full text |
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Abstract | ABSTRACT
BACKGROUND
In Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in eating behavior of youth by race/ethnicity and socioeconomic status.
METHODS
Students (N = 997) in 4th to 5th grades completed the School Nutrition and Physical Activity Survey. School databases categorized students as either White or racial/ethnic minority and free/reduced or full paid lunch status. Dietary behaviors included 13 composite measures: unhealthy proteins, healthy proteins, dairy, refined grains, whole grains, vegetables, fruit, fried snacks, sugar‐sweetened beverages, sweets, and consumption of a breakfast, evening, and/or restaurant meal. Logistic regression, controlling for sex, was used to analyze differences in consumption for each nutrition variable.
RESULTS
Minority youth were less likely to consume healthy proteins (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.55‐0.92) and more likely to eat at a restaurant (OR = 1.32, 95% CI = 1.02‐1.70) compared to white youth. Lower socioeconomic status youth were less likely to eat an evening meal compared to higher socioeconomic status youth (OR = 0.59, 95% CI = 0.39‐0.89).
CONCLUSIONS
Differences in dietary behaviors may result from food accessibility and insecurity in minority and/or low‐income neighborhoods. Future research should explore policy strategies that can help ensure all youth maintain healthy eating habits and weight status. |
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AbstractList | BACKGROUNDIn Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in eating behavior of youth by race/ethnicity and socioeconomic status. METHODSStudents (N = 997) in 4th to 5th grades completed the School Nutrition and Physical Activity Survey. School databases categorized students as either White or racial/ethnic minority and free/reduced or full paid lunch status. Dietary behaviors included 13 composite measures: unhealthy proteins, healthy proteins, dairy, refined grains, whole grains, vegetables, fruit, fried snacks, sugar-sweetened beverages, sweets, and consumption of a breakfast, evening, and/or restaurant meal. Logistic regression, controlling for sex, was used to analyze differences in consumption for each nutrition variable. RESULTSMinority youth were less likely to consume healthy proteins (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.55-0.92) and more likely to eat at a restaurant (OR = 1.32, 95% CI = 1.02-1.70) compared to white youth. Lower socioeconomic status youth were less likely to eat an evening meal compared to higher socioeconomic status youth (OR = 0.59, 95% CI = 0.39-0.89). CONCLUSIONSDifferences in dietary behaviors may result from food accessibility and insecurity in minority and/or low-income neighborhoods. Future research should explore policy strategies that can help ensure all youth maintain healthy eating habits and weight status. In Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in eating behavior of youth by race/ethnicity and socioeconomic status. Students (N = 997) in 4th to 5th grades completed the School Nutrition and Physical Activity Survey. School databases categorized students as either White or racial/ethnic minority and free/reduced or full paid lunch status. Dietary behaviors included 13 composite measures: unhealthy proteins, healthy proteins, dairy, refined grains, whole grains, vegetables, fruit, fried snacks, sugar-sweetened beverages, sweets, and consumption of a breakfast, evening, and/or restaurant meal. Logistic regression, controlling for sex, was used to analyze differences in consumption for each nutrition variable. Minority youth were less likely to consume healthy proteins (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.55-0.92) and more likely to eat at a restaurant (OR = 1.32, 95% CI = 1.02-1.70) compared to white youth. Lower socioeconomic status youth were less likely to eat an evening meal compared to higher socioeconomic status youth (OR = 0.59, 95% CI = 0.39-0.89). Differences in dietary behaviors may result from food accessibility and insecurity in minority and/or low-income neighborhoods. Future research should explore policy strategies that can help ensure all youth maintain healthy eating habits and weight status. ABSTRACT BACKGROUND In Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in eating behavior of youth by race/ethnicity and socioeconomic status. METHODS Students (N = 997) in 4th to 5th grades completed the School Nutrition and Physical Activity Survey. School databases categorized students as either White or racial/ethnic minority and free/reduced or full paid lunch status. Dietary behaviors included 13 composite measures: unhealthy proteins, healthy proteins, dairy, refined grains, whole grains, vegetables, fruit, fried snacks, sugar‐sweetened beverages, sweets, and consumption of a breakfast, evening, and/or restaurant meal. Logistic regression, controlling for sex, was used to analyze differences in consumption for each nutrition variable. RESULTS Minority youth were less likely to consume healthy proteins (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.55‐0.92) and more likely to eat at a restaurant (OR = 1.32, 95% CI = 1.02‐1.70) compared to white youth. Lower socioeconomic status youth were less likely to eat an evening meal compared to higher socioeconomic status youth (OR = 0.59, 95% CI = 0.39‐0.89). CONCLUSIONS Differences in dietary behaviors may result from food accessibility and insecurity in minority and/or low‐income neighborhoods. Future research should explore policy strategies that can help ensure all youth maintain healthy eating habits and weight status. Background: In Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in eating behavior of youth by race/ethnicity and socioeconomic status. Methods: Students (N = 997) in 4th to 5th grades completed the School Nutrition and Physical Activity Survey. School databases categorized students as either White or racial/ethnic minority and free/reduced or full paid lunch status. Dietary behaviors included 13 composite measures: unhealthy proteins, healthy proteins, dairy, refined grains, whole grains, vegetables, fruit, fried snacks, sugar-sweetened beverages, sweets, and consumption of a breakfast, evening, and/or restaurant meal. Logistic regression, controlling for sex, was used to analyze differences in consumption for each nutrition variable. Results: Minority youth were less likely to consume healthy proteins (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.55-0.92) and more likely to eat at a restaurant (OR = 1.32, 95% CI = 1.02-1.70) compared to white youth. Lower socioeconomic status youth were less likely to eat an evening meal compared to higher socioeconomic status youth (OR = 0.59, 95% CI = 0.39-0.89). Conclusions: Differences in dietary behaviors may result from food accessibility and insecurity in minority and/or low-income neighborhoods. Future research should explore policy strategies that can help ensure all youth maintain healthy eating habits and weight status. |
Audience | Intermediate Grades Grade 4 Grade 5 Middle Schools Elementary Education Professional Academic |
Author | Woolf, Hope R. Kaczynski, Andrew T. Dunn, Caroline Glagola Fair, Melissa King, Sarah B. |
Author_xml | – sequence: 1 givenname: Hope R. orcidid: 0000-0002-8766-5536 surname: Woolf fullname: Woolf, Hope R. email: hwoolf@email.sc.edu organization: Arnold School of Public Health, University of South Carolina – sequence: 2 givenname: Melissa surname: Fair fullname: Fair, Melissa email: melissa.fair@furman.edu organization: Institute for the Advancement of Community Health, Furman University – sequence: 3 givenname: Sarah B. surname: King fullname: King, Sarah B. email: sarahbk@clemson.edu organization: Clemson University's Youth Learning Institute – sequence: 4 givenname: Caroline Glagola surname: Dunn fullname: Dunn, Caroline Glagola email: cdunn@hsph.harvard.edu organization: Harvard Chan School of Public Health – sequence: 5 givenname: Andrew T. surname: Kaczynski fullname: Kaczynski, Andrew T. email: atkaczyn@mailbox.sc.edu organization: Arnold School of Public Health, University of South Carolina |
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CitedBy_id | crossref_primary_10_1007_s12170_022_00692_0 crossref_primary_10_1016_j_pcad_2024_05_002 crossref_primary_10_1093_her_cyab027 crossref_primary_10_3390_children8100848 crossref_primary_10_3390_nu16101463 crossref_primary_10_3390_nu15061520 crossref_primary_10_3390_foods11182886 |
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BACKGROUND
In Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in... Background: In Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in eating... In Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in eating behavior of... BACKGROUNDIn Spartanburg County, SC, nearly 33.7% of children are overweight or obese. The purpose of this study was to investigate differences in eating... |
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SubjectTerms | Access Behavior Body Weight Breakfast child and adolescent health Child health Childhood obesity Children Company business management Comparative Analysis Demographic aspects Dietetics Dining Facilities Drinks Eating behavior Eating Habits Ethnic groups Ethnicity Food Food consumption Food habits Gender Differences Grade 4 Grade 5 Habits Health aspects Health Behavior Healthy food Insecurity Management Minority & ethnic groups Minority groups Neighborhoods Nursing Nutrition nutrition and diet Obesity Physical Activities Physical activity Proteins Public health public health, organization, and administration of school health programs Race Racial differences school food services school health services Security (Psychology) Snacks Socioeconomic factors Socioeconomic Influences Socioeconomic status Sugar Teenagers Vegetables |
Title | Exploring Dietary Behavior Differences among Children by Race/Ethnicity and Socioeconomic Status |
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