Hostname: page-component-5db58dd55d-8lnk4 Total loading time: 0 Render date: 2026-05-31T09:29:58.756Z Has data issue: false hasContentIssue false

Disentangling food insecurity and maternal depression: which comes first?

Published online by Cambridge University Press:  01 February 2021

Layton Reesor-Oyer*
Affiliation:
Department of Exercise Science, Arnold School of Public Health, University of South Carolina, 921 Assembly St. #135, Columbia, SC 29208, USA
Aliye B Cepni
Affiliation:
Department of Health and Human Performance, University of Houston, Houston, TX, USA
Che Young Lee
Affiliation:
Department of Health and Human Performance, University of Houston, Houston, TX, USA
Xue Zhao
Affiliation:
Department of Health and Human Performance, University of Houston, Houston, TX, USA
Daphne C Hernandez
Affiliation:
Department of Research, Cizik School of Nursing, The University of Texas Health Science Center, Houston, TX, TX, USA
*
*Corresponding author: Email lreesor@mailbox.sc.edu
Rights & Permissions [Opens in a new window]

Abstract

Objective:

To determine the temporal directionality of the association between food insecurity and maternal depression.

Design:

Food insecurity was measured at two time points using the eighteen-item USDA Food Security Scale. Maternal depression was measured at two time points using the fifteen-item Composite International Diagnostic Interview-Short Form. Two structural equation models were utilised to evaluate the impact of food insecurity on maternal depression (model 1) and the impact of maternal depression on food insecurity (model 2). Both models controlled for socio-demographic and parenting characteristics and child behaviour problems, along with prior measures of the dependent variable and concurrent measures of the independent variable.

Setting:

Fragile Families and Child Wellbeing (FFCW) study, twenty cities across the USA.

Participants:

4897 mothers who participated in two waves of the FFCW study.

Results:

On average, 17 % (time 1) and 15 % (time 2) of mothers experienced food insecurity and 21 % (time 1) and 17 % (time 2) of mothers experienced depression over time. Maternal depression at time 1 was associated with 53 % increased odds (OR = 1·53; B = 0·43; P < 0·001) of food insecurity at time 2, controlling for time 1 food insecurity, concurrent depression and covariates. Food insecurity at time 1 was associated with 36 % increased odds (OR = 1·36; B = 0·31; P < 0·001) of maternal depression at time 2, controlling for time 1 depression, concurrent food insecurity and covariates.

Conclusions:

We found a bidirectional relationship between food insecurity and maternal depression. A holistic approach that combines food assistance and mental health services may be an efficacious approach to reducing both depressive symptoms and food insecurity among low-income mothers.

Information

Type
Research paper
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society
Figure 0

Table 1 Descriptive statistics of sample and by food insecurity and depression status, M (sd) or %

Figure 1

Fig. 1 Model depicting food inadequacy hypothesis: food insecurity predicting maternal depression over a 2-year period (n 4897). Main path of interest is bolded in the figure. The following covariates were included in the analysis but not included in the figure: teen mom status, race/ethnicity native status, marital status, education, employment status, household income based on the family income in relation to the federal poverty line (FPL), health insurance, paternal incarceration, child behaviour problems score, parenting stress and co-parenting support. This is a fully saturated model; as such, model fit statistics are not available

Figure 2

Fig. 2 Model depicting mental health hypothesis: maternal depression predicting food insecurity over a 2-year period (n 4897). Main path of interest is bolded in the figure. The following covariates were included in the analysis but not included in the figure: teen mom status, race/ethnicity native status, marital status, education, employment status, household income based on the family income in relation to the federal poverty line (FPL), health insurance, paternal incarceration, child behaviour problems score, parenting stress and co-parenting support. This is a fully saturated model; as such, model fit statistics are not available