| Literature DB >> 35067266 |
Matthew P Rabbitt1, Matthew R Beymer2, Joanna J Reagan3, Brantley P Jarvis2, Eren Y Watkins2.
Abstract
OBJECTIVE: We examined the determinants of food insecurity among active duty Army households that transitioned into food insecurity during the coronavirus disease 2019 (COVID-19) pandemic.Entities:
Keywords: Coronavirus Disease 2019; Food insecurity; Food security; Military; Pandemic
Year: 2022 PMID: 35067266 PMCID: PMC8861550 DOI: 10.1017/S1368980022000192
Source DB: PubMed Journal: Public Health Nutr ISSN: 1368-9800 Impact factor: 4.022
Characteristics of active duty army households that are associated with the transition into marginal food insecurity after the onset of the Coronavirus Disease 2019 (COVID-19) pandemic
| Variables | Total | Consistently highly food secure | Recently marginally food insecure | |||
|---|---|---|---|---|---|---|
| Mean |
| Mean |
| Mean |
| |
| Soldiers’ characteristics | ||||||
| Female | 0·103 | 0·305 | 0·098 | 0·298 | 0·128 | 0·334 |
| Age | ||||||
| Ages 17–29 | 0·711 | 0·453 | 0·710 | 0·454 | 0·718 | 0·450 |
| Ages 30–39 | 0·235 | 0·424 | 0·235 | 0·424 | 0·233 | 0·423 |
| Race and ethnicity | ||||||
| Black | 0·117 | 0·321 | 0·107 | 0·310 | 0·162 | 0·369 |
| Asian/Pacific Islander | 0·048 | 0·214 | 0·041 | 0·199 | 0·079 | 0·270 |
| Hispanic | 0·166 | 0·372 | 0·162 | 0·368 | 0·189 | 0·392 |
| Marital status | ||||||
| Widowed/divorced/separated | 0·081 | 0·273 | 0·076 | 0·265 | 0·103 | 0·305 |
| Single | 0·398 | 0·489 | 0·411 | 0·492 | 0·335 | 0·472 |
| Educational attainment | ||||||
| High school diploma, GED or lower | 0·359 | 0·480 | 0·345 | 0·476 | 0·424 | 0·495 |
| Some college or an associate’s degree | 0·365 | 0·481 | 0·361 | 0·480 | 0·383 | 0·487 |
| Military rank | ||||||
| Private to corporal | 0·443 | 0·497 | 0·431 | 0·495 | 0·499 | 0·501 |
| Sergeant to staff sergeant | 0·268 | 0·443 | 0·260 | 0·439 | 0·304 | 0·461 |
| Sergeant first class to sergeant major | 0·080 | 0·272 | 0·075 | 0·264 | 0·103 | 0·305 |
| Warrant officer 1 to chief warrant officer | 0·031 | 0·174 | 0·033 | 0·178 | 0·024 | 0·154 |
| Social support scale score | 5·655 | 1·318 | 5·686 | 1·316 | 5·508 | 1·318 |
| PTSD scale score | 0·911 | 1·697 | 0·760 | 1·554 | 1·629 | 2·117 |
| Depression scale score | 1·000 | 1·604 | 0·882 | 1·509 | 1·564 | 1·895 |
| Anxiety scale score | 1·166 | 1·713 | 1·041 | 1·631 | 1·759 | 1·956 |
| Household characteristics | ||||||
| Financial insecurity of soldier and spouse | 0·040 | 0·196 | 0·029 | 0·169 | 0·089 | 0·285 |
| Worried about family members’ job security | 0·156 | 0·363 | 0·126 | 0·332 | 0·298 | 0·458 |
| Number of child dependents | 0·742 | 1·128 | 0·709 | 1·102 | 0·897 | 1·233 |
| Number of active duty army households | 2832 | 2339 | 493 | |||
Means and standard deviations were estimated using unweighted data on Army households from a June 2020 Behavioral Health Epidemiological Consultation survey of soldiers at a large military installation in the USA.
Fig. 1The prevalence of marginal food insecurity among samples of active duty and civilian households before and after the onset of the Coronavirus Disease 2019 (COVID-19) pandemic
Frequency of active duty army households that reported their food insecurity changed after the onset of the Coronavirus Disease 2019 (COVID-19) pandemic at a US army installation
| After onset of the COVID-19 pandemic | |||
|---|---|---|---|
| Marginally food insecure | Highly food secure | ||
| Before COVID-19 pandemic | Marginally food insecure | 825 | 116 |
| Highly food secure | 788 | 3320 | |
The number of Army households transitioning into marginal food insecurity after the onset of the pandemic was calculated using unweighted data from a June 2020 Behavioral Health Epidemiological Consultation survey of soldiers at a large military installation in the USA.
Determinants of the transition into marginal food insecurity among a sample of active duty army households after the onset of the Coronavirus Disease 2019 (COVID-19) pandemic
| Variables | Recently marginally food insecure | |
|---|---|---|
| Estimate | SE | |
| Soldiers’ characteristics | ||
| Female | 0·010 | 0·024 |
| Age | ||
| Ages 17–29 | 0·057 | 0·036 |
| Ages 30–39 | 0·017 | 0·033 |
| Race and ethnicity | ||
| Black | 0·054 | 0·025 |
| Asian/Pacific Islander | 0·110 | 0·038 |
| Hispanic | 0·011 | 0·020 |
| Marital status | ||
| Widowed, divorced or separated | 0·006 | 0·028 |
| Single | −0·037 | 0·017 |
| Educational attainment | ||
| High school diploma, GED or lower | −0·006 | 0·028 |
| Some college or an Associate’s degree | −0·040 | 0·027 |
| Military rank | ||
| Private to corporal | 0·119 | 0·029 |
| Sergeant to staff sergeant | 0·105 | 0·029 |
| Sergeant first class to sergeant major | 0·138 | 0·038 |
| Warrant officer 1 to chief warrant officer | 0·082 | 0·042 |
| Social support scale score | 0·000 | 0·006 |
| PTSD scale score | 0·028 | 0·006 |
| Depression scale score | 0·009 | 0·007 |
| Anxiety scale score | 0·005 | 0·006 |
| Household characteristics | ||
| Financial insecurity of soldier and spouse | 0·148 | 0·045 |
| Worried about family members’ job security | 0·145 | 0·023 |
| Number of child dependents | 0·025 | 0·009 |
| Constant | 0·037 | 0·050 |
| Sample mean of dependent variable | 0·174 | |
|
| 0·098 | |
| Number of active duty Army households | 2832 | |
Significant at 0·05 level.
Significant at 0·01 level.
A linear probability model was estimated using unweighted data on Army households from a June 2020 Behavioral Health Epidemiological Consultation survey of soldiers at a large military installation in the USA. Standard errors are robust to heteroscedasticity.