| Literature DB >> 33092665 |
Nicole Larson1, Jaime Slaughter-Acey1, Tricia Alexander1, Jerica Berge2, Lisa Harnack1, Dianne Neumark-Sztainer1.
Abstract
OBJECTIVE: To examine how food insecurity is related to emerging adults' food behaviours and experiences of neighbourhood safety and discrimination and to identify resources needed to support their health during the COVID-19 outbreak.Entities:
Keywords: Discrimination; Emerging adult; Food insecurity; Home food availability; Neighbourhood safety
Year: 2020 PMID: 33092665 PMCID: PMC7683815 DOI: 10.1017/S136898002000422X
Source DB: PubMed Journal: Public Health Nutr ISSN: 1368-9800 Impact factor: 4.022
Description of survey measures
| Measure | Survey items or description | Response categories |
|---|---|---|
| Food insecurity experiences | ||
| Past year food insecurity | Short form of the US Household Food Security Survey Module( | Yes/No. A score of 2+ affirmative responses was used to define food insecurity (test–retest agreement = 90 %). |
| Past month food insufficiency | Two items modified from the short form of the US Household Food Security Survey Module( | If participants responded ‘yes’ to both questions, they were categorised as food insufficient. |
| Food shopping behaviours | ||
| Shopping online |
| Four Likert-type response options were given for each activity and dichotomised for analysis to distinguish |
| Planning before shopping | Participants were asked how often their household did three activities in the past month: | Four Likert-type response options were given for each activity and dichotomised for analysis to distinguish |
| Home food availability | ||
| Home food availability | Participants were asked how often five statements were true for the place where they lived (e.g. | Four response options were given for each statement and dichotomised for analysis to distinguish |
| Eating behaviours | ||
| Frequency of family meals |
| Six response categories ranging from |
| Frequency of eating food from fast-food restaurants |
| Six response options ranging from |
| Neighbourhood safety and discrimination | ||
| Neighbourhood safety | Participants were asked to respond to two statements regarding whether they felt safe walking in their neighbourhood | Yes/No. |
| Discrimination and harassment | Survey items were adapted from established measures( | Five response options were given for each statement and gave the opportunity to indicate a frequency of up to |
| Personal characteristics of emerging adults | ||
| Demographic characteristics | Self-report of sex, ethnicity/race, employment status, receipt of public assistance, access to personal transportation and living situation. Ethnicity/race (test–retest agreement range: 98–100 %) and parent socio-economic status (SES, test–retest | Response options for employment included |
| Influence of COVID-19 on eating and resources needed for supporting health | ||
| Changes in food shopping and eating behaviour |
| Write-in responses |
| Providing healthy food for children | When a participant reported having one or more children they were asked: | Write-in responses |
| Resources needed for healthy food |
| Write-in responses |
| Resources needed to support overall health |
| Write-in responses |
Prevalence of food insecurity in the past year and food insufficiency in the past month by sociodemographic characteristics of emerging adult respondents to the C-EAT (COVID-19 Eating and Activity over Time) survey in spring 2020*
| Characteristics | Sample, | Past year food insecurity | Past month food insufficiency | ||
|---|---|---|---|---|---|
| Overall | 218 | 28·4 | 12·0 | ||
| Sex | 0·34 | 0·21 | |||
| Female | 153 | 30·7 | 14·5 | ||
| Male | 62 | 24·2 | 6·4 | ||
| Different identity | 3 | 0 | 0 | ||
| Ethnicity/race | 0·60 | 0·73 | |||
| White | 79 | 22·8 | 11·7 | ||
| Hispanic or Latino | 42 | 17·1 | 7·3 | ||
| Asian American | 42 | 18·8 | 11·9 | ||
| Black or African American | 31 | 32·3 | 16·9 | ||
| Mixed or other | 23 | 39·1 | 18·2 | ||
| Parent socio-economic status | < 0·001 | 0·006 | |||
| Low | 66 | 34·8 | 15·4 | ||
| Low-middle to middle | 75 | 41·3 | 18·9 | ||
| Upper-middle to high | 77 | 10·4 | 2·7 | ||
| Employment status | 0·04 | 0·21 | |||
| Working full time | 97 | 19·6 | 8·3 | ||
| Working part time | 30 | 33·3 | 13·8 | ||
| Temporarily laid off or unemployed | 59 | 40·7 | 19·3 | ||
| At-home caregiver/not working for pay | 26 | 26·9 | 7·7 | ||
| Public assistance | < 0·001 | 0·11 | |||
| No | 169 | 21·9 | 10·2 | ||
| Yes | 49 | 51·0 | 18·7 | ||
| Living with a child(ren) of your own | 0·005 | 0·02 | |||
| No | 177 | 24·3 | 9·8 | ||
| Yes | 41 | 46·3 | 22·5 | ||
| Access to a car or other personal vehicle | 0·02 | ||||
| No | 36 | 44·4 | 20·6 | 0·11 | |
| Yes | 182 | 25·3 | 10·6 |
C-EAT study participants were originally recruited in Minneapolis–St. Paul, Minnesota public schools in 2009–2010 and 87 % of the sample were living in Minnesota at the time of the spring 2020 survey.
Food insecurity status was based on responses to the short form of the US Household Food Security Survey Module. Scores of 2+ affirmative responses determined experiencing food insecurity at one or more times in the past year.
Participants were asked ‘In the past month, did you ever eat less than you felt you should because there wasn’t enough money for food?’ and ‘In the past month, were you ever hungry but didn’t eat because there was not enough money for food?’. Food insufficiency in the past month was determined by reporting yes to both questions.
Structurally racialised categories labelled by ethnicity/race.
Food shopping behaviours, home food availability and eating behaviours during COVID-19 stay-at-home orders (April–May 2020) by past year food insecurity among emerging adults*
| Unadjusted model 1 | Adjusted model 2 | |||||
|---|---|---|---|---|---|---|
| Food secure | Food insecure |
| Food secure | Food insecure |
| |
| Food shopping behaviours (% often/always) | ||||||
| Plan meals before doing my shopping | 50·7 | 34·4 | 0·03 | 50·5 | 32·3 | 0·03 |
| Make out a list before doing the shopping | 70·6 | 46·8 | 0·001 | 75·8 | 48·5 | < 0·001 |
| Decide on a set amount of money to spend on groceries | 21·8 | 35·5 | 0·04 | 17·5 | 24·1 | 0·30 |
| Purchase nonperishable food or drinks for a time when you would not be leaving your home | 47·2 | 41·9 | 0·48 | 46·9 | 39·6 | 0·38 |
| Buy groceries online and have them delivered or pick them up outside the store | 10·4 | 11·3 | 0·85 | 6·0 | 6·9 | 0·78 |
| Home food availability (% usually/always) | ||||||
| Fruits and vegetables are available | 83·7 | 67·7 | 0·01 | 90·5 | 71·0 | < 0·001 |
| Vegetables are part of dinner | 72·4 | 61·3 | 0·11 | 74·6 | 60·0 | 0·06 |
| Fresh fruit is accessible | 75·8 | 56·4 | 0·006 | 83·3 | 61·2 | 0·001 |
| Ready-to-eat vegetables are accessible | 67·1 | 50·0 | 0·02 | 68·1 | 51·3 | 0·04 |
| Whole wheat bread is available | 58·2 | 45·2 | 0·08 | 61·2 | 40·3 | 0·02 |
| Eating behaviours | ||||||
| Family meals (% 5+ times/week) | 52·5 | 39·0 | 0·08 | 54·3 | 33·2 | 0·02 |
| Frequent fast food intake (% 3+ times/week) | 15·7 | 33·9 | 0·004 | 10·8 | 30·8 | < 0·001 |
Food insecurity status was based on responses to the short form of the US Household Food Security Survey Module. Scores of 2+ affirmative responses determined experiencing food insecurity at one or more times in the past year.
Model 2 includes sex, ethnicity/race, employment status, household receipt of public assistance (Supplemental Nutrition Assistance Program and/or Special Supplemental Nutrition Program for Women, Infants, and Children), and living situation (reside with own child v. other). Generalised linear models were used to examine statistical associations of each food/eating variable with food security status and the inverse linked scale option was used to estimate adjusted prevalence.
P values associated with maximum likelihood parameter estimates for the main effect in adjusted model.
Experiences of neighbourhood safety and discrimination during COVID-19 stay-at-home orders (April–May 2020) by food insecurity among emerging adults*
| Unadjusted model 1 | Adjusted model 2 | |||||
|---|---|---|---|---|---|---|
| Food secure | Food insecure |
| Food secure | Food insecure |
| |
| Feel unsafe walking in neighbourhood during the day | 6·4 | 24·2 | < 0·001 | 4·8 | 17·9 | 0·002 |
| Feel unsafe walking in neighbourhood at night | 41·0 | 40·3 | 0·93 | 33·6 | 29·7 | 0·61 |
| You are treated with less respect or courtesy than other people | 37·5 | 61·3 | 0·001 | 38·4 | 61·0 | 0·01 |
| You are threatened or harassed | 9·8 | 22·6 | 0·02 | 6·5 | 16·4 | 0·02 |
| People have said mean or rude things about you because of your race or ethnic group | 10·0 | 38·7 | < 0·001 | 6·0 | 23·4 | < 0·001 |
Food insecurity status was based on responses to the short form of the US Household Food Security Survey Module. Scores of 2+ affirmative responses determined experiencing food insecurity at one or more times in the past year.
Model 2 includes sex, ethnicity/race, employment status, household receipt of public assistance (Supplemental Nutrition Assistance Program and/or Special Supplemental Nutrition Program for Women, Infants, and Children) and living situation (reside with own child v. other). Generalised linear models were used to examine statistical associations of each safety/discrimination variable with food security status and the inverse linked scale option was used to estimate adjusted prevalence.
P values associated with maximum likelihood parameter estimates for the main effect in adjusted model.
Race variable was removed from the adjusted models in order to obtain reliable estimates.
Qualitative themes regarding how events related to COVID-19 influenced the eating and food shopping behaviours of emerging adults who were food insecure in the past year or food insufficient in the past month
| Overarching themes of change (number of participants endorsing) | Sub-themes (number of participants endorsing) |
|
|---|---|---|
| Changing amount of food consumed ( | Eating less food than normal( |
|
| Eating more food than normal( |
| |
| Eating fewer meals and/or snacking more often( |
| |
| Changing types of food consumed( | Eating less fresh food like fruit and vegetables( |
|
| Eating more frozen and non-perishable foods( |
| |
| Eating more sugary snacks and junk food( |
| |
| Changing frequency of eating food from restaurants( | Eating more food from restaurants( |
|
| Avoiding food from restaurants( |
| |
| Preparing more food at home( |
| |
| Changing patterns of food shopping( | Frequency of shopping( |
|
| Quantities of food purchased and shortages( |
|
Resources most helpful or needed to get enough healthy food for feeding children (named by parents) and nourishing yourself and household (named by overall sample): reported by emerging adults who were food insecure in the past year or food insufficient in the past month
|
School food programmes and food shelves with options for culturally diverse households Larger amounts of benefits provided by Supplemental Nutrition Assistance Program and the Special Supplemental Nutrition Program for Women, Infants, and Children Vouchers and reduced prices for healthy foods like fruits and vegetables Having options for purchasing online with food assistance benefits and having food delivery or pick-up services Store policies with adaptations for single parents Frequent restocking of food items in stores Planning of meals and snacks Eligibility for stimulus and relief funds for persons with diverse living situations (e.g. households with no children) |
Resources needed to support the overall health of emerging adults and their families who were food insecure in the past year or food insufficient in the past month
|
Food assistance in the form of food boxes that include resources based on the number of residents Community-based food shelves and pantries Retail store policies that limit food hoarding Access to options for purchasing food from an online grocery store More relief funds for single adults with no children Rent assistance and unemployment benefits Mental health resources Access to virtual medicine (e.g. video-based clinic appointments) Universal health care |