Skip to main content
Health Science Reports logoLink to Health Science Reports
. 2023 Feb 20;6(2):e1123. doi: 10.1002/hsr2.1123

Interactive association of chronic illness and food insecurity with emergency department utilization among school‐age children in the United States: A cross‐sectional study

Farheen Ghani 1, Hao Wang 2,, Sydney E Manning 3, Usha Sambamoorthi 1
PMCID: PMC9940462  PMID: 36814967

Abstract

Background and Aims

Food insecurity combined with chronic disease conditions is a risk factor for Emergency Department (ED) utilization, an indicator of poor quality of care. However, such an association is not certain among school‐age children with chronic conditions. Therefore, we aim to determine the association of food insecurity, chronic conditions, and ED utilization among school‐age children in the United States.

Methods

We analyzed the data from the 2017 Medical expenditure panel survey (MEPS) among children aged 6–17 years (N = 5518). MEPS data was released electronically by the Agency for Healthcare Research and Quality (AHRQ). We identified four groups of school‐age children based on the presence of food security and chronic conditions: 1) with food insecurity and chronic conditions; 2) no food insecurity and chronic conditions; 3) with food insecurity and no chronic conditions; and 4) no food insecurity and no chronic conditions. We compared ED utilization among these four groups using incidence rate ratios (IRR) after adjusting children's age, sex, race and ethnicity, household income, insurance coverage, obesity, and geographic region using count data model, specifically multivariable Poison regression. We used SAS 9.4 and STATA 14.2 for all the data analyses.

Results

There were unweighted 5518 school‐age children who represented weighted 50,479,419 school‐age children in the final analysis. Overall, 6.0% had food insecurity with chronic conditions. These children had higher ED utilization (19.7%) than the other three groups (13.3%, 8.8%, and 7.2%, p < 0.001). The adjusted IRR of ED utilization among school‐age children with food insecurity and chronic conditions was 1.90 (95% confidence interval 1.20–3.01, p = 0.007) compared with those with food security and chronic conditions.

Conclusion

One in 16 school‐age children has both food insecurity and chronic conditions. Food insecurity was positively associated with frequent ED visits in the presence of chronic conditions. Therefore, addressing food insecurity may reduce the risk of ED visits.

Keywords: chronic conditions, ED utilization, food insecurity, MEPS, school‐age population

1. INTRODUCTION

Food insecurity is defined as “inability to acquire adequate food for one or more household members because they had insufficient money and other resources for food.” 1 In 2020, 7.6% (2.9 million) households in the United States with children reported food insecurity. The prevalence of food insecurity in households with children increased in 2020 to 14.8% from 13.6% in 2019. 1 In addition, there are disparities in the prevalence of food insecurity by race and ethnicity, disability status, and urbanicity. 2 Studies have demonstrated that children living in households with food insecurity are at risk for poor physical, emotional, and developmental outcomes. 3 , 4 , 5 There is robust evidence of the positive relationship of food insecurity with adverse health outcomes. 6

Food insecurity can lead to high healthcare utilization including preventable hospitalizations, 7 emergency department (ED) visits, 8 and high healthcare costs. 9 , 10 , 11 Using 2016 data from the Medical Expenditure Panel Survey (MEPS), which contained information about sociodemographics, health needs, healthcare service uses, and healthcare cost, authors found that children living in households with food insecurity were more likely to have ED use. 12 However, this study did not analyze the interactive association of chronic conditions and food insecurity linked to ED utilization. It is essential to examine ED visits because such visits are costly 13 and may represent poor management of chronic conditions, 14 poor quality of care, 15 lack of access to emergent care, 14 and maybe preventable with appropriate primary care. 16

Food insecurity is reported to be common in pediatric EDs. 17 , 18 In a study of 4674 children seen at a general pediatric clinic between 2017 and 2021, food insecurity was reported to be associated with increased ED utilization and hospitalizations. 19 However, these studies were conducted only among those who visited ED. Given that children with chronic conditions are more likely to use ED than those without chronic conditions, 20 examining the excess burden of food insecurity on ED use among children with chronic conditions is important. However, such studies are sparse. Determining such an association between food insecurity, chronic disease conditions, and ED utilization among pediatric populations could serve as a foundation to assist families in obtaining services to prevent food insecurity, improve healthcare outcomes, and eventually reduce healthcare costs. Therefore, the primary objective of this paper was to determine the interactive association of chronic illness and food insecurity with ED utilization among school‐age children using well‐established and validated nationally representative survey data in the United States of America.

2. METHODS

2.1. Study design and data source

This study adopted a cross‐sectional study design. Data were obtained from the 2017 MEPS (i.e., full‐year consolidated data, medical condition data, released on March 4, 2020). MEPS is a nationally representative survey of noninstitutionalized civilian households administered by the Agency for Healthcare Research and Quality (AHRQ). The survey collects information on healthcare services utilization and costs, demographic characteristics, social determinants of health (SDoH, such as education, employment, and income of households), and health status. Food security information was collected in a separate module in 2017. We limited our study to data collected in the calendar year 2017. As MEPS is a publicly available data set with deidentified data, this study was submitted to regional institution review board and approved as a nonhuman subject research project.

2.2. Participants

The study included school‐age children 6–17 years of age (N = 5691). Among these children, 173 did not have data on food insecurity. The final study sample included 5518 (2809 males with weighted 51.2% and 2709 females with weighted 48.8%) children that represented 50,479,419 children aged from 6 to 17 years.

2.3. Measures

2.3.1. Primary outcome measurement

Our primary outcome was the number of ED visits reported for the survey year. The number of ED visits ranged from 0 to 9 in our analytic sample. The MEPS household file contains utilization and expenditure data from the household self‐reports and the medical providers. The medical provider component (MPC) data are not publicly available and are used for editing and imputing household file data. 21 MPC data include ED visits that may or may not have resulted in an inpatient stay. 22

2.3.2. Key Explanatory Variable

Food insecurity and chronic condition categories.

Presence of chronic conditions (yes/no)

In the MEPS, chronic conditions can be derived from several sources, such as directly asking the respondents whether they have been diagnosed with certain priority conditions, conditions for which the respondents sought medical care, conditions that caused the participants to miss school or work or spend more than half a day in bed. 23 We used the questions of whether the child has ever been diagnosed with asthma, the conditions for medical care were sought (diabetes, bronchitis, anxiety, depression, and bipolar disorders). Children with any of the conditions mentioned above were considered to have chronic conditions.

Food insecurity

MEPS special module includes specific questions about food security that are closely aligned with the United States Department of Agriculture (USDA) 10‐item scale. 24 However, the USDA 10‐item scale queried food security in the previous 12 months, MEPS‐specific questions reference period is “previous 30 days.” Following the methodology provided by Dean et al., 25 we adjusted the scale for reference‐period differences. The food security questions inquire about accessing adequate food, reduced quantity, and quality of food consumption. Households that worried about food availability, households with limited food intake due to affordability, households without adequate food, and households that experienced disrupted eating were classified as having “food insecurity.” We combined the presence of chronic conditions and food insecurity to derive four categories: 1) with food insecurity and chronic conditions; 2) no food insecurity and chronic conditions; 3) with food insecurity and no chronic conditions; and 4) no food insecurity and no chronic conditions.

2.3.3. Other explanatory variables

Other variables included children's age (6–11 years, 12–17 years), sex (female and male), race (White, African American, Latino, and others), and geographic locations (Northeast, South, Midwest, and West). Children's body mass index (BMI) was divided into four categories underweight, normal, overweight, and obese. These categories were determined using CDC age‐ and sex‐specific growth charts for children and teens ages 2–19. 26 We included household income relative to the federal poverty line (poor, low‐, middle‐, and high‐income), and insurance coverage (private, public, and no insurance).

2.4. Statistical analysis

The analyses accounted for the complex design of the MEPS by using survey procedures with family weights. Rao‐Scott chi‐square test of independence was used to assess whether food insecurity and chronic conditions (Group 1: food insecurity with chronic conditions; Group 2: food security with chronic conditions; Group 3: food insecurity without chronic conditions; and Group 4: food security without chronic conditions) were associated with ED utilization. We calculated unadjusted and adjusted incident rate ratios (IRR) and corresponding 95% confidence intervals (CI) using Poisson regression to determine the association between food insecurity with a chronic condition and the number of ED visits. The adjustment included children's age, sex, race and ethnicity, poverty status, health insurance, and geographical location to further determine the potential confounders. These analyses were performed in SAS 9.4 and STATA 14.2.

3. RESULTS

There were 48.8% (unweighted n = 2709) female, 49.5% (unweighted n = 1841) White, and 50.8% (unweighted n = 2792) children in the age group 6 , 7 , 8 , 9 , 10 , 11 years. 38.7% (unweighted n = 2903) of children reported having FPL less than 200% (low‐income). An overwhelming majority (97%, unweighted n = 5334) of children had public or private health insurance. One in five children (20.9%) had a chronic condition, and 8.4% (unweighted n = 410) were categorized “underweight” based on BMI. Overall, 19.7% (unweighted n = 1399) reported having food insecurity; 9.1% (unweighted n = 542) visited an ED during the calendar year.

Table 1 summarizes the differences in children's characteristics by the four categories of food insecurity and chronic conditions. 6.0% of children reported both food insecurity and chronic conditions, and 13.7% reported food insecurity without chronic conditions. We found significant differences by age, race and ethnicity, poverty status, BMI categories, and region of the United States. For example, a higher percentage of children of color had food insecurity and chronic conditions (8.4% African Americans, 7.2% Hispanic, and 6.4% other races) than whites (4.7%). A higher percentage of low‐income households reported food insecurity and chronic conditions than high‐income households (15.0% vs. 1.0%). A higher percentage of children with obesity reported both food insecurity and chronic conditions (13.2% vs. 4.5%) compared to children with a healthy weight. A higher percentage of children with food insecurity and chronic conditions visited ED (19.7% vs. 13.3%) compared to the group “no food insecurity and chronic conditions.”

Table 1.

Characteristics of school‐age children by food insecurity and chronic condition groups.

Among children aged 6–17 years
Medical Expenditure Panel Survey, 2017
FI + CC No FI + CC FI + No CC No FI + No CC
n Wt% n Wt% n Wt% n Wt% Chi‐sq Prob
All 405 6.0 773 14.9 994 13.7 3346 65.4
Sex 6.20 0.102
Female 180 5.2 355 14.0 495 14.3 1679 66.4
Male 225 6.8 418 15.6 499 13.1 1667 64.5
Race and ethnicity 90.37 <0.001
White 117 4.7 301 16.5 191 8.7 1232 70.1
AA 88 8.4 163 18.5 200 18.0 482 55.1
Latino 163 7.2 235 10.9 517 21.2 1239 60.8
Other race 37 6.4 74 13.0 86 13.6 393 67.0
Age 11.52 0.009
6–11 Years 195 5.7 350 13.1 493 13.5 1754 67.7
12–17 Years 210 6.4 423 16.7 501 13.9 1592 63.0
Region 18.68 0.028
Northeast 64 5.0 136 18.7 119 8.5 475 67.9
Mid‐west 101 8.0 175 16.0 188 14.5 613 61.5
South 152 5.8 286 13.7 437 15.3 1324 65.1
West 88 5.3 176 12.8 250 14.5 934 67.5
Poverty status 445.65 <0.001
Poor 213 15.0 189 11.9 477 30.4 707 42.8
Low income 103 7.5 159 12.5 343 25.3 712 54.7
Middle income 72 4.7 227 15.8 142 7.7 998 71.8
High income 17 1.0 198 17.2 32 2.2 929 79.6
BMI 100.12 <0.001
Underweight 22 3.8 54 13.9 67 12.3 267 70.0
Normal 141 4.5 347 16.3 358 11.2 1467 67.9
Overweight 60 6.5 104 15.9 116 12.8 415 64.8
Obese 112 13.2 143 15.7 153 15.4 441 55.7
ED Use 46.55 <0.001
None 331 80.3 652 86.7 891 91.2 3102 92.8
ED Use 74 19.7 121 13.3 103 8.8 244 7.2

Note: Based on 5581 children aged 6–17 years and without missing data on the food security variable. Significant differences are tested with Rao–Scott chi‐square tests. Missing data on the poverty status variable is not presented.

Abbreviations: AA, African American; BMI, Body Mass Index; CC, chronic conditions; FI, food insecurity; Wt., weighted.

The unadjusted IRR (U‐IRR) and 95% CIs from the Poisson regression of ED visits are summarized in Table 2. The unadjusted IRRs were higher for those with food insecurity and chronic conditions compared to those without food insecurity and chronic conditions (IRR = 1.99, 95% CI = 1.28–3.10 p < 0.001). In general, those without chronic conditions had fewer ED visits than those with chronic conditions (Table 2).

Table 2.

Unadjusted incident rate ratio (U‐IRR) and 95% confidence intervals (CI).

From Poisson regression of number of ED visits
Among children aged 6–17 years
Medical Expenditure Panel Survey, 2017
U‐IRR 95% CI p‐value
Food insecurity + Chronic condition
FI + CC 1.99 [1.28–3.10] <0.001
No FI + CC (Ref)
FI + No CC 0.62 [0.42–0.91] 0.014
No FI + No CC 0.51 [0.36–0.71] <0.001
Sex
Female 0.90 [0.70–1.16] 0.407
Male (ref)
Race and ethnicity
White (Ref)
AA 1.24 [0.88–1.75] 0.221
Hispanic 1.01 [0.76–1.34] 0.924
Other race 1.03 [0.65–1.65] 0.884
Age
6–11 years (Ref)
12–17 years 0.99 [0.77–1.27] 0.951
Poverty
Poor 1.35 [0.94–1.94] 0.107
Low Income 1.40 [0.96–2.03] 0.080
Middle Income 1.15 [0.77–1.71] 0.490
High Income (ref)
BMI
Underweight 0.78 [0.46–1.33] 0.359
Normal (Ref)
Overweight 0.97 [0.66–1.43] 0.892
Obese 1.11 [0.78–1.58] 0.572
Region
Northeast (Ref)
Midwest 1.60 [1.06–2.42] 0.025
South 1.32 [0.88–1.98] 0.187
West 1.44 [0.92–2.25] 0.106
Insurance coverage
Private (Ref)
Public 1.47 [1.15–1.97] 0.002
Uninsured 0.48 [0.20–1.19] 0.112

Note: Based on 5581 children aged 6–17 years and without missing data on the food security variable. Missing data on the poverty status variable is not presented.

Abbreviations: AA, African American; BMI, Body Mass Index; CC, chronic conditions; ED, Emergency Department; FI, food insecurity; Ref, Reference Group.

When adjusted for other explanatory variables, age, sex, race and ethnicity, household poverty status, health insurance, region, and child BMI, the adjusted IRR was higher for children with chronic conditions and living in households with food insecurity (IRR = 1.90, 95% CI 1.20–3.01, p = 0.007). Consistent with unadjusted associations, children with no chronic conditions (with or without food insecurity) had fewer ED visits (Table 3).

Table 3.

Adjusted incident rate ratios (A‐IRR) and 95% confidence intervals (CI).

From Poisson regression of number of ED visits
Among children aged 6–17 years
Medical Expenditure Panel Survey, 2017
A‐IRR 95% CI p‐value
Food security + Chronic condition
FI + CC 1.90 [1.20–3.01] 0.007
No FI + CC (Ref)
FI + No CC 0.61 [0.41–0.89] 0.010
No FI + No CC 0.53 [0.37–0.75] <0.001
Sex
Female 0.93 [0.73–1.20] 0.584
Male (ref)
Race and ethnicity
White (Ref)
AA 1.11 [0.78–1.58] 0.563
Hispanic 0.95 [0.72–1.26] 0.737
Other race 1.00 [0.65–1.52] 0.989
Age
6–11 years (Ref)
12–17 years 0.90 [0.70–1.15] 0.394
Poverty
Poor 0.81 [0.47–1.39] 0.450
Low Income 0.99 [0.60–1.64] 0.984
Middle Income 0.98 [0.64–1.50] 0.940
High Income (ref)
BMI
Underweight 0.80 [0.47–1.36] 0.404
Normal (Ref)
Overweight 0.93 [0.63–1.39] 0.737
Obese 0.90 [0.63–1.30] 0.581
Region
Northeast (Ref)
Midwest 1.54 [1.00–2.37] 0.051
South 1.32 [0.85–2.03] 0.213
West 1.46 [0.93–2.28] 0.097
Insurance coverage
Private (Ref)
Public 1.41 [0.94–2.12] 0.099
Uninsured 0.53 [0.22–1.26] 0.151

Note: Based on 5581 children aged 6–17 years and without missing data on food security variable. Model adjusted for age, sex, race and ethnicity, health insurance, poverty status, region, and body mass index categories.

Abbreviations: AA, African American; BMI, Body Mass Index; CC, chronic conditions; ED, Emergency Department; FI, food insecurity; Ref, Reference Group.

4. DISCUSSION

In this study, we found that 1 in 16 (6.0%) children had chronic conditions and lived in households with food insecurity. Children of color, with obesity, and children living in households with a low income had a higher prevalence of food insecurity and chronic conditions (Table 1). These study findings are similar to the previous reports by Peltz and Garg. In their report, it showed that food insecurity was associated with race and ethnicity (i.e., higher food insecurity rate among African Americans and Hispanics), geographic location (i.e., Mid‐west), and low‐income household (e.g., single‐parent home and publicly insured children (compared with privately insured ones), parents unemployed), and so forth. 12 Other studies also showed that food insecurity was associated with poverty (e.g., annual household income), 1 , 27 children of color (e.g., African Americans and Hispanics), and children with obesity. 1 , 28 , 29 It is not surprising to find an association between food insecurity and obesity among children. 30 Studies have found that those with food insecurity consume fewer fruits, vegetables, and protein‐rich diets 31 , 32 and rely more on a high‐calorie unhealthy diet, 33 which may lead to obesity.

We also observed that children who had chronic conditions and lived in households with food insecurity had higher ED visits compared to children with chronic conditions and no food insecurity (Table 2). Even after adjusting for other potential confounding factors including socioeconomic status (poverty level and insurance coverage), personal (age, geographic location, and obesity), the relationship remained statistically significant (Table 3). Although a previous MEPS study has highlighted the role of food insecurity on healthcare use among children, 12 the study did not analyze the interactive association of chronic conditions and food insecurity with ED use. Nevertheless, we found that food insecurity poses an additional burden among children with chronic conditions (Table 3).

Our findings raise the question of whether interventions, programs, and policies that reduce food insecurity may reduce healthcare utilization. Although there is a need for high‐quality studies on this topic, 34 reducing food insecurity has been reported to be associated with a lower number of ED visits among dually eligible Medicaid/Medicare adults. 35 While food security cannot cure chronic conditions, acquiring adequate food without worrying about cost can ease the financial burden on families by reducing costly acute care visits 36 and reduce the risk of complications of chronic conditions. 37 , 38

Our study has strengths and limitations. We used nationally representative data with a validated food insecurity measure, which enabled us to provide insights into the needs of a specific population subgroup and potential policy interests. The results are generalizable because the data cover diverse segments of the noninstitutionalized civilian population. However, we adopted a cross‐sectional design and can only report associations. In terms of school‐age children with chronic conditions, bronchitis and anxiety certainly could present as acute disease conditions. However, MEPS did not specify chronic bronchitis or anxiety which could result in overestimations of chronic conditions in our study. Furthermore, we did not account for the bidirectional relationship between food insecurity and ED use. 39 The food‐insecurity measure was based on the household, and we could not assess child‐specific insecurity. We also did not explore whether food‐insecure families received public assistance programs such as the Supplemental Nutrition Assistance Program (SNAP). Chronic conditions data may be incomplete because some chronic conditions were captured if they were reported as a general problem, sought medical care, missed school days, or days spent in bed. 23

5. CONCLUSION

One in 16 (6.0%) school‐age children had chronic conditions and lived in households with food insecurity. Among all school‐age children with chronic conditions, children with food insecurity had 1.9 times higher ED utilization than those without food insecurity. Our findings suggest that ED visits might be leveraged to screen children at high‐risk for food insecurity.

AUTHOR CONTRIBUTIONS

Farheen Ghani: Conceptualization; data curation; resources; validation; writing—original draft; writing—review & editing. Hao Wang: Conceptualization; formal analysis; investigation; methodology; validation; writing – original draft; writing – review & editing. Sydney E. Manning: Conceptualization; formal analysis; methodology; writing—review & editing. Usha Sambamoorthi: Conceptualization; formal analysis; methodology; resources; supervision; validation; writing—review & editing.

CONFLICT OF INTEREST STATEMENT

Dr. Hao Wang is an Editorial Board member of Health Science Reports and a coauthor of this article. To minimize bias, he was excluded from all editorial decision‐making related to the acceptance of this article for publication.

TRANSPARENCY STATEMENT

The lead author Hao Wang affirms that this manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant registered) have been explained. All authors have read and approved the final version of the manuscript. Hao Wang and Usha Sambamoorthi had full access to all the data in this study and takes complete responsibility for the integrity of the data and the accuracy of the data analysis.

ACKNOWLEDGMENTS

The project described was supported in part by the National Institutes of Health (NIH) Agreement No. 1OT2OD032581‐01 (Usha Sambamoorthi), NIH/1OT2HL158258‐01 (Usha Sambamoorthi), and the National Institute on Minority Health and Health Disparities through the Texas Center for Health Disparities (NIMHD), 5U54MD006882‐10 (Hao Wang and Usha Sambamoorthi). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

Ghani F, Wang H, Manning SE, Sambamoorthi U. Interactive association of chronic illness and food insecurity with emergency department utilization among school‐age children in the United States: a cross‐sectional study. Health Sci Rep. 2023;6:e1123. 10.1002/hsr2.1123

DATA AVAILABILITY STATEMENT

Data are available to the public and can be downloaded free of charge from medical expenditure panel survey download data files https://www.meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp.

REFERENCES

  • 1. Coleman‐Jensen A, Rabbitt MP, Gregory CA, et al. Household Food Security in the United States in 2020, ERR‐298, U.S. Department of Agriculture, Economic Research Service (updated on 8‐8‐2022); 2020. https://feedingnys.org/wp-content/uploads/Household-Food-Security.pdf
  • 2. Ullmann H, Weeks JD, Madans JH. Children living in households that experienced food insecurity: United States, 2019‐2020. NCHS Data Brief. 2022:432. [PubMed] [Google Scholar]
  • 3. Thomas MMC, Miller DP, Morrissey TW. Food insecurity and child health. Pediatrics. 2019;144(4). [DOI] [PubMed] [Google Scholar]
  • 4. Cook JT, Black M, Chilton M, et al. Are food insecurity's health impacts underestimated in the U.S. population? Marginal food security also predicts adverse health outcomes in young U.S. children and mothers. Adv Nutr. 2013;4:51‐61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Shankar P, Chung R, Frank DA. Association of food insecurity with children's behavioral, emotional, and academic outcomes: a systematic review. J Dev Behav Pediatr. 2017;38:135‐150. [DOI] [PubMed] [Google Scholar]
  • 6. Gundersen C, Kreider B. Bounding the effects of food insecurity on children's health outcomes. J Health Econ. 2009;28:971‐983. [DOI] [PubMed] [Google Scholar]
  • 7. Gupta N, Sheng Z. A population‐based study of the association between food insecurity and potentially avoidable hospitalization among persons with diabetes using linked survey and administrative data. Int J Popul Data Sci. 2019;4:1102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Berkowitz SA, Seligman HK, Meigs JB, Basu S. Food insecurity, healthcare utilization, and high cost: a longitudinal cohort study. Am J Manag Care. 2018;24:399‐404. [PMC free article] [PubMed] [Google Scholar]
  • 9. Seligman HK, Schillinger D. Hunger and socioeconomic disparities in chronic disease. N Engl J Med. 2010;363:6‐9. [DOI] [PubMed] [Google Scholar]
  • 10. Nagata JM, Palar K, Gooding HC, Garber AK, Bibbins‐Domingo K, Weiser SD. Food insecurity and chronic disease in US young adults: findings from The National longitudinal study of adolescent to adult health. J Gen Intern Med. 2019;34:2756‐2762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Stupplebeen DA. Housing and food insecurity and chronic disease among three racial groups in Hawai'i. Prev Chronic Dis. 2019;16:180311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Peltz A, Garg A. Food insecurity and health care use. Pediatrics. 2019;144(4):e20190347. [DOI] [PubMed] [Google Scholar]
  • 13. Baughman DJ, Waheed A, Khan MN, Nicholson JM. Enhancing value‐based care with a walk‐in clinic: a primary care provider intervention to decrease low acuity emergency department overutilization. Cureus. 2021;13:e13284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Dowd B, Karmarker M, Swenson T, et al. Emergency department utilization as a measure of physician performance. Am J Med Qual. 2014;29:135‐143. [DOI] [PubMed] [Google Scholar]
  • 15. Andrews AL, Bettenhausen J, Hoefgen E, et al. Measures of ED utilization in a national cohort of children. Am J Manag Care. 2020;26:267‐272. [DOI] [PubMed] [Google Scholar]
  • 16. Enard KR, Ganelin DM. Reducing preventable emergency department utilization and costs by using community health workers as patient navigators. J Healthc Manag. 2013;58:412‐427. [PMC free article] [PubMed] [Google Scholar]
  • 17. Valdez Gonzalez J, Hartford E, Moore J, Brown J. Food insecurity in a pediatric emergency department and the feasibility of universal screening. West J Emerg Med. 2021;22:1295‐1300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Ho BJ, Rucker AC, Boyle M, et al. Food insecurity in a pediatric emergency department. Pediatrics. 2021;147(3_Meetingabstract):483. [Google Scholar]
  • 19. Rigdon J, Montez K, Palakshappa D, et al. Social risk factors influence pediatric emergency department utilization and hospitalizations. J Pediatr. 2022;249:35‐42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Alpern ER, Clark AE, Alessandrini EA, et al. Recurrent and high‐frequency use of the emergency department by pediatric patients. Acad Emerg Med. 2014;21:365‐373. [DOI] [PubMed] [Google Scholar]
  • 21. Agency for Healthcare Research and Quality . Medical provider component (updated on 8‐8‐2022); 2022. https://meps.ahrq.gov/survey_comp/mpc.jsp
  • 22. Agency for Healthcare Research and Quality . MEPS HC‐201: Full‐year consolidated data file (updated on 8‐8‐2022); 2017.
  • 23. Machlin S, Soni A, Fang Z. Understanding and analyzing MEPS household component medical condition data (updated on 8‐8‐2022); 2022. https://meps.ahrq.gov/survey_comp/MEPS_condition_data.shtml
  • 24. Ames AJ, Barnett TM. Psychometric validation of the 10‐Item USDA Food Security Scale for use with college students. J Appl Meas. 2019;20:228‐242. [PubMed] [Google Scholar]
  • 25. Dean EB, French MT, Mortensen K. Food insecurity, health care utilization, and health care expenditures. Health Serv Res. 2020;55(Suppl 2):883‐893. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Centers for Disease Control and Prevention . Height, weight, nurtition, and physical activity (updated on 8‐8‐2022); 2022. https://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/about_childrens_bmi.html
  • 27. Francis L, DePriest K, Wilson M, Gross D. Child poverty, toxic stress, and social determinants of health: screening and care coordination. OJIN: Online J Issues Nursing. 2018;23(3):2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Papas MA, Trabulsi JC, Dahl A, Dominick G. Food insecurity increases the odds of obesity among young Hispanic children. J Immigr Minority Health. 2016;18:1046‐1052. [DOI] [PubMed] [Google Scholar]
  • 29. Eisenmann JC, Gundersen C, Lohman BJ, Garasky S, Stewart SD. Is food insecurity related to overweight and obesity in children and adolescents? A summary of studies, 1995‐2009: food insecurity and obesity in children. Obesity Reviews. 2011;12:e73‐e83. [DOI] [PubMed] [Google Scholar]
  • 30. Au LE, Zhu SM, Nhan LA, et al. Household food insecurity is associated with higher adiposity among US schoolchildren ages 10‐15 years: the healthy communities study. J Nutr. 2019;149:1642‐1650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Rodríguez LA, Mundo‐Rosas V, Méndez‐Gómez‐Humarán I, Pérez‐Escamilla R, Shamah‐Levy T. Dietary quality and household food insecurity among Mexican children and adolescents. Matern Child Nutr. 2017;13(4):e12372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Hutchinson J, Tarasuk V. The relationship between diet quality and the severity of household food insecurity in Canada. Public Health Nutr. 2022;25:1013‐1026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Morales ME, Berkowitz SA. The relationship between food insecurity, dietary patterns, and obesity. Curr Nutr Rep. 2016;5:54‐60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. De Marchis EH, Torres JM, Benesch T, et al. Interventions addressing food insecurity in health care settings: a systematic review. Annals Family Med. 2019;17:436‐447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Berkowitz SA, Terranova J, Hill C, et al. Meal delivery programs reduce the use of costly health care in dually eligible Medicare and Medicaid beneficiaries. Health Aff. 2018;37:535‐542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Ettinger de Cuba SA, Bovell‐Ammon AR, Cook JT, et al. SNAP, young children's health, and family food security and healthcare access. Am J Prev Med. 2019;57:525‐532. [DOI] [PubMed] [Google Scholar]
  • 37. Gundersen C, Ziliak JP. Food insecurity and health outcomes. Health Aff. 2015;34:1830‐1839. [DOI] [PubMed] [Google Scholar]
  • 38. Heflin C, Arteaga I, Hodges L, Ndashiyme JF, Rabbitt MP. SNAP benefits and childhood asthma. Soc Sci Med. 2019;220:203‐211. [DOI] [PubMed] [Google Scholar]
  • 39. Johnson KT, Palakshappa D, Basu S, Seligman H, Berkowitz SA. Examining the bidirectional relationship between food insecurity and healthcare spending. Health Serv Res. 2021;56:864‐873. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Mangini LD, Hayward MD, Dong YQ, Forman MR. Household food insecurity is associated with childhood asthma. J Nutr. 2015;145:2756‐2764. [DOI] [PubMed] [Google Scholar]
  • 41. Eicher‐Miller HA, Mason AC, Weaver CM, McCabe GP, Boushey CJ. Food insecurity is associated with iron deficiency anemia in US adolescents. Am J Clin Nutr. 2009;90:1358‐1371. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data are available to the public and can be downloaded free of charge from medical expenditure panel survey download data files https://www.meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp.


Articles from Health Science Reports are provided here courtesy of Wiley

RESOURCES