scholarly journals Household Food Insecurity and Children’s Physical Activity and Sedentary Behavior in the United States: The Healthy Communities Study

2021 ◽  
pp. 1-20
Author(s):  
Sophia M. Navarro ◽  
Marisa M. Tsai ◽  
Lorrene D. Ritchie ◽  
Edward A. Frongillo ◽  
Barbara A. Laraia ◽  
...  

Abstract Objective: To examine associations between household food insecurity and children’s physical activity and sedentary behaviors. Design: Secondary analysis was conducted on the Healthy Communities Study, an observational study from 2013-2015. Household food insecurity was assessed by two items from the US Department of Agriculture’s 18-item US Household Food Security Survey Module. Physical activity was measured using the 7-day Physical Activity Behavior Recall instrument. Data were analyzed using multilevel statistical modeling. Setting: 130 communities in the US. Participants: 5,138 US children ages 4-15 years. Results: No associations were found for the relationship between household food insecurity and child physical activity. A significant interaction between household food insecurity and child sex for sedentary behaviors was observed (P=0.03). Conclusions: Additional research capturing a more detailed assessment of children’s experiences of food insecurity in relation to physical activity is warranted. Future studies may consider adopting qualitative study designs or utilizing food insecurity measures that specifically target child-level food insecurity. Subsequent research may also seek to further explore sub-group analyses by sex.

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sara Benjamin-Neelon ◽  
Carter Allen ◽  
Brian Neelon

Abstract Objectives Infancy represents a critical period for growth and development, and food insecurity during this time may impact later health. Few previous studies have assessed food insecurity and obesity in young children in the US, and even fewer have targeted infants. Moreover, the ability of federal food assistance programs to affect this relation remains unclear. Methods We examined 666 infants in the US-based Nurture birth cohort. We conducted home visits when infants were 3, 6, 9, and 12 months. We measured household food insecurity via maternal report using the US Household Food Security Survey Module: Six-Item Short Form. We categorized infants as living in full, marginal, low, or very low food security households. We calculated infant body mass index (BMI) z-score from measured lengths and weights using World Health Organization reference standards. We documented participation in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) and Supplemental Nutrition Assistance Program (SNAP) at each home visit. We used repeated-measures linear regression models with imputed data to examine covariate-adjusted associations between household food security and BMI z-score throughout infancy. Results Nearly 70% of infants were black and 49% were female. At 3 months, 32.8% of infants were from households with low or very low food security. Infant BMI increased from months 3 to 12 in all food security groups (Figure). However, after adjustment for potential confounders, low household food insecurity (0.18; 95% CI 0.05, 0.32; P = 0.01) and very low household food insecurity (0.22; 95% CI 0.05, 0.38; P = 0.01) were associated with higher infant BMI z-score throughout infancy but marginal household food security was not (0.001; 95% CI −0.13, 0.13; P = 0.99). There was no evidence of effect modification by participation in either WIC (P = 0.36) or SNAP (P = 0.67). Conclusions Infants from food insecure households had higher BMIs throughout infancy, and this association was not attenuated by WIC or SNAP participation. About one-third of infants in this cohort were living in food insecure households, which raises substantial concern from both a public health and obesity prevention perspective. Funding Sources NIDDK, National Institutes of Health. Supporting Tables, Images and/or Graphs


2017 ◽  
Vol 78 (6) ◽  
pp. 1089-1107 ◽  
Author(s):  
George Engelhard ◽  
Matthew P. Rabbitt ◽  
Emily M. Engelhard

This study focuses on model–data fit with a particular emphasis on household-level fit within the context of measuring household food insecurity. Household fit indices are used to examine the psychometric quality of household-level measures of food insecurity. In the United States, measures of food insecurity are commonly obtained from the U.S. Household Food Security Survey Module (HFSSM, 18 items) of the Current Population Survey Food Security Supplement (CPS-FSS). These measures, in various forms, are used to inform national programs and policies related to food insecurity. Data for low-income households with children from recent administrations of the HFSSM (2012-2014) are used in this study ( N = 7,324). The results suggest that there are detectable levels of misfit with Infit mean square error (MSE) statistics ranging from 6.73 % to 21.33% and Outfit MSE statistics ranging from 5.31% to 9.68%. The data suggest for Outfit MSE statistics that (a) male respondents, (b) respondents with lower levels of education, and (c) respondents who did not report participating in SNAP (Supplemental Nutrition Assistance Program, formerly the Food Stamp Program) tend to have more misfit. For Infit MSE statistics, lack of homeownership appears to be a predictor of misfit. The implications of this research for future research, theory, and policy related to the measurement of household food insecurity are discussed.


Author(s):  
Brianna N Lauren ◽  
Elisabeth R Silver ◽  
Adam S Faye ◽  
Jennifer A Woo Baidal ◽  
Elissa M Ozanne ◽  
...  

Objective: To examine associations between sociodemographic and mental health characteristics with household food insecurity as a result of the COVID-19 outbreak. Design: Cross-sectional online survey analyzed using univariable tests and a multivariable logistic regression model. Setting: The United States during the week of March 30, 2020. Participants: Convenience sample of 1,965 American adults using Amazon's Mechanical Turk (MTurk) platform. Participants reporting household food insecurity prior to the pandemic were excluded from analyses. Results: 1,517 participants reported household food security before the COVID-19 outbreak. Among this subset, 30% reported food insecurity after the COVID-19 outbreak, 53% were women and 72% were white. On multivariable analysis, race, income, relationship status, anxiety, and depression were significantly associated with incident household food insecurity. Black respondents, Hispanic/Latino respondents, and respondents with annual income less than $100,000 were significantly more likely to experience incident household food insecurity. Individuals experiencing incident household food insecurity were 2.09 (95% CI 1.58-2.83) times more likely to screen positively for anxiety and 1.88 (95% CI 1.37-2.52) times more likely to screen positively for depression. Conclusions: Food insecurity due to the COVID-19 pandemic is common, and certain populations are particularly vulnerable. There are strong associations between food insecurity and anxiety/depression. Public health interventions to increase the accessibility of healthful foods, especially for Black and Hispanic/Latino communities, are crucial to relieving the economic stress of this pandemic.


2019 ◽  
Vol 149 (9) ◽  
pp. 1642-1650 ◽  
Author(s):  
Lauren E Au ◽  
Sonya M Zhu ◽  
Lilly A Nhan ◽  
Kaela R Plank ◽  
Edward A Frongillo ◽  
...  

ABSTRACT Background Limited research exists on the relationship between food insecurity and children's adiposity and diet and how it varies by demographic characteristics in the United States. Objective The aim of this study was to assess the relationship between household food insecurity and child adiposity-related outcomes, measured as BMI (kg/m2) z score (BMI-z), weight status, and waist circumference, and diet outcomes, and examined if the associations differ by age, sex, and race/ethnicity. Methods Data collected in 2013–2015 from 5138 US schoolchildren ages 4–15 y from 130 communities in the cross-sectional Healthy Communities Study were analyzed. Household food insecurity was self-reported using a validated 2-item screener. Dietary intake was assessed using the 26-item National Cancer Institute's Dietary Screener Questionnaire, and dietary behaviors were assessed using a household survey. Data were analyzed using multilevel statistical models, including tests for interaction by age, sex, and race/ethnicity. Results Children from food-insecure households had higher BMI-z (β: 0.14; 95% CI: 0.06, 0.21), waist circumference (β: 0.91 cm; 95% CI: 0.18, 1.63), odds of being overweight or obese (OR: 1.17; 95% CI: 1.02, 1.34), consumed more sugar from sugar-sweetened beverages (β: 1.44 g/d; 95% CI: 0.35, 2.54), and less frequently ate breakfast (β: −0.28 d/wk; 95% CI: −0.39, −0.17) and dinner with family (β: −0.22 d/wk; 95% CI: −0.37, −0.06) compared to children from food-secure households. When examined by age groups (4–9 and 10–15 y), significant relationships were observed only for older children. There were no significant interactions by sex or race/ethnicity. Conclusions Household food insecurity was associated with higher child adiposity-related outcomes and several nutrition behaviors, particularly among older children, 10–15 y old.


Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 945
Author(s):  
Norhasmah Sulaiman ◽  
Heather Yeatman ◽  
Joanna Russell ◽  
Leh Shii Law

Living free from hunger is a basic human right. However, some communities still experience household food insecurity. This systematic literature review explored different aspects of household food insecurity in Malaysia including vulnerable groups, prevalence, risk factors, coping strategies, and the consequences of food insecurity. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Thirty-three relevant articles were selected from scientific databases such as CINAHL, Pubmed and Google Scholar, scrutiny of reference lists, and personal communication with experts in the field. The prevalence of household food insecurity in Malaysia was unexpectedly reported as high, with affected groups including Orang Asli, low-income household/welfare-recipient households, university students, and the elderly. Demographic risk factors and socioeconomic characteristics included larger household, living in poverty, and low education. Coping strategies were practices to increase the accessibility of food in their households. Consequences of household food insecurity included psychological, dietary (macro- and micronutrient intakes), nutritional status, and health impacts. In conclusion, this review confirmed that household food insecurity in Malaysia continues to exist. Nevertheless, extensive and active investigations are encouraged to obtain a more holistic and comprehensive picture pertaining to household food security in Malaysia.


BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Milagro Escobar ◽  
Andrea DeCastro Mendez ◽  
Maria Romero Encinas ◽  
Sofia Villagomez ◽  
Janet M. Wojcicki

Abstract Background Food insecurity impacts nearly one-in-four Latinx households in the United States and has been exacerbated by the novel coronavirus or COVID-19 pandemic. Methods We examined the impact of COVID-19 on household and child food security in three preexisting, longitudinal, Latinx urban cohorts in the San Francisco Bay Area (N = 375 households, 1875 individuals). Households were initially recruited during pregnancy and postpartum at Zuckerberg San Francisco General Hospital (ZSFG) and UCSF Benioff prior to the COVID-19 pandemic. For this COVID-19 sub-study, participants responded to a 15-min telephonic interview. Participants answered 18 questions from the US Food Security Food Module (US HFSSM) and questions on types of food consumption, housing and employment status, and history of COVID-19 infection as per community or hospital-based testing. Food security and insecurity levels were compared with prior year metrics. Results We found low levels of household food security in Latinx families (by cohort: 29.2%; 34.2%; 60.0%) and child food security (56.9%, 54.1%, 78.0%) with differences between cohorts explained by self-reported levels of education and employment status. Food security levels were much lower than those reported previously in two cohorts where data had been recorded from prior years. Reported history of COVID-19 infection in households was 4.8% (95% Confidence Interval (CI); 1.5–14.3%); 7.2% (95%CI, 3.6–13.9%) and 3.5% (95%CI, 1.7–7.2%) by cohort and was associated with food insecurity in the two larger cohorts (p = 0.03; p = 0.01 respectively). Conclusions Latinx families in the Bay Area with children are experiencing a sharp rise in food insecurity levels during the COVID-19 epidemic. Food insecurity, similar to other indices of poverty, is associated with increased risk for COVID-19 infection. Comprehensive interventions are needed to address food insecurity in Latinx populations and further studies are needed to better assess independent associations between household food insecurity, poor nutritional health and risk of COVID-19 infection.


2008 ◽  
Vol 21 (suppl) ◽  
pp. 27s-37s ◽  
Author(s):  
Hugo Melgar-Quinonez ◽  
Michelle Hackett

Measuring household food insecurity represents a challenge due to the complexity and wide array of factors associated with this phenomenon. For over one decade, researchers and agencies throughout the world have been using and assessing the validity of variations of the United States Department of Agriculture Household Food Security Supplemental Module. Thanks to numerous studies of diverse design, size, and purpose, the Household Food Security Supplemental Module has shown its suitability to directly evaluate the perceptions of individuals on their food security status. In addition, challenges and limitations are becoming clearer and new research questions are emerging as the process advances. The purpose of this article is to describe the development, validation procedures, and use of the Household Food Security Supplemental Module in very diverse settings. The most common Household Food Security Supplemental Module related studies have been conducted using criterion validity, Rasch modeling and Cronbach-Alpha Coefficient. It is critical that researchers, policy makers, governmental and non-governmental agencies intensify their efforts to further develop tools that provide valid and reliable measures of food security in diverse population groups. Additional work is needed to synthesize a universally applicable tool able to capture the global human phenomenon of food insecurity.


PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259139
Author(s):  
Elizabeth Opiyo Onyango ◽  
Jonathan Crush ◽  
Samuel Owuor

An understanding of the types of shocks that disrupt and negatively impact urban household food security is of critical importance to develop relevant and targeted food security emergency preparedness policies and responses, a fact magnified by the current COVID-19 pandemic. This gap is addressed by the current study which draws from the Hungry Cities Partnership (HCP) city-wide household food insecurity survey of Nairobi city in Kenya. It uses both descriptive statistics and multilevel modelling using General Linear Mixed Models (GLMM) to examine the relationship between household food security and 16 different shocks experienced in the six months prior to the administration of the survey. The findings showed that only 29% of surveyed households were completely food secure. Of those experiencing some level of food insecurity, more experienced economic (55%) than sociopolitical (16%) and biophysical (10%) shocks. Economic shocks such as food price increases, loss of employment, and reduced income were all associated with increased food insecurity. Coupled with the lack of functioning social safety nets in Nairobi, households experiencing shocks and emergencies experience serious food insecurity and related health effects. In this context, the COVID-19 pandemic is likely to have a major negative economic impact on many vulnerable urban households. As such, there is need for new policies on urban food emergencies with a clear emergency preparedness plan for responding to major economic and other shocks that target the most vulnerable.


2019 ◽  
Vol 10 (6) ◽  
pp. 1126-1137
Author(s):  
Andrée-Anne Fafard St-Germain ◽  
Arjumand Siddiqi

ABSTRACT Household food insecurity is a determinant of health and marker of material deprivation. Although research has shown that food insecurity is associated with numerous adverse health, developmental and nutritional outcomes among children in high-income countries, little is known about its impact on children's height, an important marker of nutritional status and physical development. We reviewed evidence on the relation between experience-based measures of food insecurity and the height of children aged 0–18 y in Canada and the United States. The search, conducted in Embase, Medline, CINAHL, ProQuest, Web of Science, and EconLit from the inception of the databases to October 2017, identified 811 records that were screened for relevance. A total of 8 peer-reviewed studies, 2 from Canada and 6 from the United States, met the inclusion criteria and were summarized. Five studies found no association between food insecurity and children's height. One study found that having taller children in the household predicted more severe food insecurity, whereas 2 studies found that more severe experiences of food insecurity were associated with shorter height among children from ethnic minority populations. These results suggest that household food insecurity may not be associated with height inequalities among children in Canada and the United States, except perhaps in certain high-risk populations. However, the few studies identified for review provide insufficient evidence to determine whether food insecurity is or is not associated with children's height in these countries. Given the importance of optimal linear growth for current and future well-being, it is critical to understand how different modifiable environmental circumstances relate to children's height to help establish priorities for intervention. Families with children are disproportionately affected by food insecurity, and more research explicitly designed to examine the association between household food insecurity and children's height in high-income countries is needed.


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