| Literature DB >> 32864604 |
Steven A Abrams1, Ana Avalos1, Megan Gray1, Keli M Hawthorne1.
Abstract
OBJECTIVE: To assess food insecurity during pediatric visits to federally qualified health centers (FQHCs) during the coronavirus disease-19 pandemic. STUDYEntities:
Keywords: AAP, American Academy of Pediatrics; COVID-19, Coronavirus disease 2019; FQHC, Federally qualified health center; SNAP, Supplemental Nutrition Assistance Program; WIC, Special Supplementation Nutrition Program for Women, Infants and Children; infant nutrition; pediatric screening
Year: 2020 PMID: 32864604 PMCID: PMC7308015 DOI: 10.1016/j.ympdx.2020.100044
Source DB: PubMed Journal: J Pediatr X ISSN: 2590-0420
Characteristics of study families
| Variables | Frequency (%) |
|---|---|
| Total | 200 (100) |
| Interviewer | |
| A | 107 (53.5) |
| B | 93 (46.5) |
| Sex | |
| Female | 86 (43.0) |
| Male | 114 (57.0) |
| No. of other children <6 years old at home | |
| 0 | 110 (55.0) |
| 1 | 77 (38.5) |
| 2 | 10 (5.0) |
| >2 | 2 (1.0) |
| No data | 1 (0.5) |
| No. of other household members | |
| 1 | 14 (7.0) |
| 2 | 128 (64.0) |
| >2 | 57 (28.5) |
| No data | 1 (0.5) |
| Patient ethnicity | |
| Hispanic | 164 (82.0) |
| Non-Hispanic | 35 (17.5) |
| No data | 1 (0.5) |
| Primary language of parent/caregiver | |
| English | 40 (20.0) |
| Spanish | 138 (69.0) |
| Other | 21 (10.5) |
| No data | 1 (0.5) |
| WIC participation | |
| Yes | 59 (29.5) |
| No | 141 (70.5) |
| SNAP participation | |
| Yes | 48 (24.0) |
| No | 150 (75.0) |
| No data | 2 (1.0) |
Other languages include: Arabic (n = 6), Nepali (n = 3), Pashto (n = 3), Mandarin (n = 1), French (n = 1), Farsi (n = 1), Tigrinya (n = 1), Dari (n = 1), Burmese (n = 1), Kinyarwanda (n = 1), and Amharic (n = 1).
Responses to food insecurity questions
| Statements | Response | Frequency (%) |
|---|---|---|
| We worried about whether our food would run out before we got money to buy more. | Never true | 111 (55.5) |
| Sometimes true | 81 (40.5) | |
| Often true | 8 (4.0) | |
| The food we bought just didn't last, and we didn't have money to get more. | Never true | 139 (69.5) |
| Sometimes true | 54 (27.0) | |
| Often true | 7 (3.5) |
Relationship between family characteristics and any food insecurity
| Variables | Food insecurity (%) | |
|---|---|---|
| Total | 47 | – |
| Sex | ||
| Female | 43 | .33 |
| Male | 50 | |
| No. of other children <6 years old at home | ||
| 0 | 42 | .13 |
| 1 | 49 | |
| 2 | 80 | |
| >2 | 50 | |
| Patient ethnicity | ||
| Hispanic | 54 | <.001 |
| Non-Hispanic | 14 | |
| Primary language of parent/caregiver | ||
| English | 20 | <.001 |
| Spanish | 59 | |
| Other | 14 | |
| WIC participation | ||
| Yes | 52 | .016 |
| No | 34 | |
| SNAP participation | ||
| Yes | 42 | .27 |
| No | 49 | |
P values are univariate analysis of variance for the variable shown.
Other languages include Arabic (n = 6), Nepali (n = 3), Pashto (n = 3), Mandarin (n = 1), French (n = 1), Farsi (n = 1), Tigrinya (n = 1), Dari (n = 1), Burmese (n = 1), Kinyarwanda (n = 1), and Amharic (n = 1).