Literature DB >> 33583473

School Absenteeism is Linked to Household Food Insecurity in School Catchment Areas in Southern Nevada.

Courtney Coughenour1, Brooke Conway Kleven2, Maxim Gakh1, Haroon Stephen3, Lung-Chang Chien2, Brian Labus2, Regis Whaley4.   

Abstract

OBJECTIVES: Food security and school attendance are both important for health, well-being, and academic performance of children and adolescents. However, their intersection remains underexamined, especially in the United States. This study considered the association between elementary school-level absenteeism and household food insecurity.
DESIGN: This study linked school-level absenteeism and household food insecurity rates using GIS mapping and applied the tobit regression model to examine their association.
SETTING: The Clark County, Nevada public school district - the fifth largest in the U.S. and in a state with disproportionate food insecurity and chronic school absenteeism rates. PARTICIPANTS: Data consisted of school-level absenteeism rates from 185 elementary schools and Census Tract-level household food insecurity rates.
RESULTS: Average daily attendance rates were lower for schools with catchment areas that had higher average household food insecurity (FI), decreasing by -0.0232% per 1% increase in FI rate (p-value=0.022). They were also significantly associated with most absenteeism risk factors. Average daily attendance rate was negatively associated with Free and Reduced Lunch eligibility percentage (-0.010 per 1% increase in FI, p-value<0.001), and Individualized Education Program participation percentage (-0.039% per 1% increase in FI, p-value=0.033), but positively associated with parent-teacher conference participation rate (0.006% per 1% increase in FI, p-value=0.025) and white student percentage (0.011% per 1% increase in FI, p-value=0.022).
CONCLUSIONS: This study suggests a link between household food insecurity and elementary school-level absenteeism. Understanding this link is important for policy and practice because schools are frequent settings for food insecurity mitigation interventions.

Entities:  

Keywords:  Food Security; Food insecurity; School Absenteeism; School Attendance

Year:  2021        PMID: 33583473     DOI: 10.1017/S136898002100063X

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  1 in total

1.  Deep learning-based school attendance prediction for autistic students.

Authors:  Mohammed Jarbou; Daehan Won; Jennifer Gillis-Mattson; Raymond Romanczyk
Journal:  Sci Rep       Date:  2022-01-26       Impact factor: 4.379

  1 in total

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