State-level predictors of food insecurity among households with children

2006 ◽  
Vol 25 (4) ◽  
pp. 921-942 ◽  
Author(s):  
Judi Bartfeld ◽  
Rachel Dunifon
2020 ◽  
Author(s):  
Camilo Bohorquez-Penuela ◽  
Mariana Urbina-Ramirez

We study the relationship between rising prices of tortillas---the Mexican staple par excellence---and household food insecurity between 2008 and 2014, a period in which global food prices experienced dramatic increases. The use of a unique combination of household-level data and official state-level information on prices allows us exploit signi cant variation in prices across the Mexican states. Since households cannot be tracked across time, we follow Deaton (1985) by constructing a series of pseudo-panels to control for time- invariant unobserved heterogeneity and measurement error. The regression estimates suggest that increasing tortilla prices affected food insecurity rates in Mexico. More speci cally, households with children or those in the second or third income quintile are more likely to be affected.


2021 ◽  
Vol 28 ◽  
pp. 100482
Author(s):  
Audrey Pereira ◽  
Sudhanshu Handa ◽  
Göran Holmqvist

Author(s):  
Jun Zhang ◽  
Yanghao Wang ◽  
Steven T. Yen

The Supplemental Nutrition Assistance Program (SNAP) is designed to improve household diet and food security—a pressing problem confronting low-income families in the United States. Previous studies on the issue often ignored the methodological issue of endogenous program participation. We revisit this important issue by estimating a simultaneous equation system with ordinal household food insecurity. Data are drawn from the 2009–2011 Current Population Survey Food Security Supplement (CPS-FSS), restricted to SNAP-eligible households with children. Our results add to the stocks of empirical findings that SNAP participation ameliorates food insecurity among adults only, but increases the probabilities of low and very low food security among children. These contradictory results indicate that our selection approach with a single cross section is only partially successful, and that additional efforts are needed in further analyses of this complicated issue, perhaps with longitudinal data. Socio-demographic variables are found to affect food-secure households and food-insecure households differently, but affect SNAP nonparticipants and participants in the same direction. The state policy tools, such as broad-based categorical eligibility (BBCE) and simplified reporting, can encourage SNAP participation and thus ameliorate food insecurity. Our findings can inform policy deliberations.


2016 ◽  
Vol 26 (3) ◽  
pp. 307 ◽  
Author(s):  
Alanderson Alves Ramalho ◽  
Saulo Augusto Silva Mantovani ◽  
Humberto Oliart-Guzmán ◽  
Fernando Luiz Cunha Castelo Branco ◽  
Athos Muniz Braña ◽  
...  

Food and nutrition security is the regular and permanent access to quality food in sufficient quantity. The aim of this study was to estimate the prevalence and factors associated with food insecurity in households with children under five in the Amazon frontier Brazil - Peru. The study was conducted in 352 households in Assis Brasil (Brazil) and 89 households Iñapari (Peru), finding a prevalence of food insecurity of 40.6 % and 38.2 % , respectively ( p = 0.856 ) . In Assis Brasil, having domicile with wood floors or land increased by 2.47 times the odds of food insecurity compared to cement fl oors, ceramic or quarry tiles . Belonging to the poorest tertile increased the chance of food insecurity in 6.04 times ( p < 0.001 ), and the increment of each new resident increased by 37 % the chance of food insecurity in the household . In Iñapari, only living in house made of wood or with a wood floor was associated with food insecurity, showing that income is still the main factor associated with food insecurity in the Amazonian borders.


2021 ◽  
Vol 34 ◽  
Author(s):  
Bruna Fernanda do Nascimento Jacinto de SOUZA ◽  
Daniele Flaviane Mendes CAMARGO ◽  
Ana Maria SEGALL-CORRÊA ◽  
Letícia MARÍN-LEÓN ◽  
Priscila Maria Stolses Bergamo FRANCISCO

ABSTRACT Objectives To estimate the frequency of food insecurity in households with and without children/adolescents; compare food expenses, sugar and soft drinks consumption in these households; and to analyze the relationship between food insecurity and demographic/socioeconomic variables with food expenses, and sugar and soft drinks consumption in households with and without children/adolescents. Methods Cross-sectional study with 628 households in Campinas, SP, Brazil. Food insecurity was estimated by the Brazilian Household Food Insecurity Measurement Scale. The dependent variables were the proportion of food expenses, and consumption of sugar and soft drinks; and the independent ones included food security/insecurity condition, monthly family income, gender, age and education of the household head. Results The frequency of food insecurity was higher in households with children/adolescents than in households without minors (41.4% vs. 27.9%). The proportion of food expenses was higher in households with children/adolescents and in all households it was associated with lower family income and, in households with minors, to the presence of a female householder. Soft drinks consumption was higher in households with children/adolescents; and was related to higher income in all households, and to the presence of male householder in households with minors. Sugar consumption in households with children/adolescents was associated with higher income, male gender and education level of the household head (<12 years). In households without children/adolescents, the higher sugar consumption was associated with food insecurity and the household head’s education (<8 years). Conclusion In households with children/adolescents there was a greater frequency of food insecurity and a greater commitment of income with food. Food insecurity was associated with increased sugar consumption in households without children/adolescents.


Author(s):  
Hanna Dudek ◽  
Joanna Myszkowska-Ryciak

While food insecurity (FI) has been extensively studied in many countries, there have been few empirical contributions in Poland to date. The main objective of our research was to identify the socio-demographic factors affecting the risk of FI in Poland within 2014–2019. Moreover, we aimed to examine the effects of the family-oriented social program “Family 500+” by comparing the situation in various types of households with children a few years before and after the program was launched. The analysis was based on the set of eight-item FI indicators adopted by the Food and Agriculture Organization using the Gallup World Poll nationally representative survey data. Based on our results the most vulnerable groups in the context of FI were identified. We confirmed the importance of education, gender, age, marital status, household composition, status of employment and income in preventing FI. The effectiveness of the support program in reducing FI was demonstrated as households with at least three children experienced significant improvement in the FI status during the studied years. These findings should be especially important in the context of the impact of the COVID-19 pandemic on FI. As FI can affect the quality and quantity of food choices it is associated with a poorer health status, which increases the risk of infection, including COVID-19, and worsens recovery prognosis. Planning an efficient response to the pandemic requires a comprehension of the increased risk of exposure experienced by people, especially those who are food insecure.


2020 ◽  
Vol 41 (3) ◽  
pp. 492-504
Author(s):  
Victoria T. Tanaka ◽  
George Engelhard ◽  
Matthew P. Rabbitt

2019 ◽  
pp. 073346481989423
Author(s):  
Pablo Gaitán-Rossi ◽  
Ida Caterina García-Appendini ◽  
Lucía Félix-Beltrán ◽  
Mireya Vilar-Compte

Objective: To analyze whether state-level social programs for older adults (OAs) in Mexico are associated with a reduction: (a) in the prevalence of severe food insecurity (SFI) and (b) in the magnitude of the effect of municipal marginalization on SFI. Method: Cross-sectional study based on urban OAs (65–100 years) from the 2010 census. Three-level logistic multilevel regression models were estimated to explain SFI. Results: Controlling for individual and municipal characteristics, states with social programs for OAs are generally associated with lower SFI prevalences (odds ratio [OR] = 0.68 [0.48, 0.95]) and mitigate the effect of marginalization on SFI when compared with states with no programs. Compared with in-kind food programs and voucher-based programs, monetary transfers are associated with a significant reduction in SFI prevalence (OR = 0.68 [0.46, 0.99]). Conclusion: States with programs for OAs, mainly monetary transfers, are associated with lower SFI prevalences.


Author(s):  
Jason M Nagata ◽  
Hilary K Seligman ◽  
Sheri D Weiser

ABSTRACT During the coronavirus disease 2019 (COVID-19) pandemic, food insecurity has doubled overall and tripled among households with children in the United States. Food insecurity and COVID-19 may exacerbate one another through bidirectional links, leading to a syndemic, or sequential disease clusters, which exacerbate one another. Experiencing food insecurity may be associated with macronutrient and micronutrient deficiencies, which can weaken host defenses, thus increasing susceptibility to COVID-19. Food insecurity is associated with chronic medical conditions, which may afford a higher risk of severe COVID-19 illness. People experiencing food insecurity may have increased exposure to COVID-19 while procuring food. People with COVID-19 may be unable to work, generate income, and procure food while quarantined, which may exacerbate food insecurity. Clinicians should screen for food insecurity during the COVID-19 pandemic and provide referrals to food-assistance programs when appropriate. Policymakers should expand benefits for the Supplemental Nutrition Assistance Program (SNAP) and the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) to address increases in the depth and breadth of food insecurity during the COVID-19 pandemic.


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