Background: Home food environments (HFE) of children impact dietary intake, though relatively few studies have focused on young children from backgrounds with socioeconomic and racial-ethnic diversity. The objective of the present study was to examine the relationship between the HFE and child dietary intake of preschool-aged children from rural and low-income, culturally diverse families.
Methods: Children (aged 2-5 years) and their primary caregivers (n = 164 parent-child dyads) participated in this study using a cross-sectional design. HFE, including home food availability, accessibility and purchasing, was measured by the Home-IDEA, a checklist instrument completed by parents. Parents also reported child dietary intake using the Block Kids Food Screener (BKFS).
Results: Home food availability of both healthful and unhealthful foods, including fruits, vegetables, meats, and sugar-sweetened beverages significantly predicted reported child intake of these foods after controlling for demographic, location and weight status. Overall dietary intake recommendations were not met for vegetables, whole grains, protein, and dairy. The accessibility and purchasing frequency of foods was not associated with reported child dietary intake.
Conclusions: The available HFE showed positive associations with dietary intake for a broad range of foods ranging from healthy and less healthy foods among preschool-aged children from a health disparate population. Recommendations to improve the quality of dietary intake for young children may be facilitated by modifying the HFE by focusing on increasing the availability of healthy foods and diminishing the presence of less healthful options.
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http://dx.doi.org/10.1016/j.appet.2018.12.002 | DOI Listing |
Background: The protective effect of a healthy diet against chronic diseases has been confirmed in several primary studies. This study identifies the dominant food patterns using factor analysis and determining its relationship with metabolic syndrome in female employees participating in the Persian cohort study.
Methods: Female participants with metabolic syndrome (based on the National Cholesterol Education Program (NCEP ATP III) were studied using a cross-sectional design.
Front Nutr
January 2025
Chair of Epidemiology, University of Augsburg, Augsburg, Germany.
Objective: Monitoring dietary habits is crucial for identifying shortcomings and delineating countermeasures. About 20 years after the last population-based surveys in Bavaria and Germany, dietary habits were assessed to describe the intake distributions and compare these with recommendations at food and nutrient level.
Methods: The 3rd Bavarian Food Consumption Survey (BVS III) was designed as a diet survey representative of adults in Bavaria; from 2021 to 2023, repeated 24-h diet recalls were collected by telephone using the software GloboDiet©.
Front Nutr
January 2025
Department of Geriatrics, The People's Hospital of Changshou, Chongqing, China.
Background And Aim: Clinical data on the prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction and etiology-associated steatohepatitis (MetALD) in a multi-ethnic U.S. population are limited.
View Article and Find Full Text PDFJ Diabetes Metab Disord
June 2025
Food and Beverages Safety Research Center, Urmia University of Medical Sciences, Urmia, Iran.
Objectives: To investigate the association between the Dietary Inflammatory Index (DII) and osteosarcopenia using nationally representative data.
Methods: We utilized data from 1,418 men and women aged ≥ 50 years old participating in Iranian Multicenter Osteoporosis Study (IMOS), a nation-wide, cross-sectional study conducted in 2021. Osteosarcopenia was defined based on standard criteria, considering the presence of both osteopenia/osteoporosis and sarcopenia.
Front Public Health
January 2025
Faculty of Nursing, Department of Medical Nursing, Aydin Adnan Menderes University, Aydin, Türkiye.
Background: Non-communicable diseases (NCDs) are a major global concern. This study aimed to examine the prevalence and co-occurrence of lifestyle risk factors among university students.
Methods: This analytical, cross-sectional study was conducted between January and April 2022.
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