scholarly journals The Relative Reinforcing Value of Cookies Is Higher Among Head Start Preschoolers With Obesity

2021 ◽  
Vol 12 ◽  
Author(s):  
Sally G. Eagleton ◽  
Jennifer L. Temple ◽  
Kathleen L. Keller ◽  
Michele E. Marini ◽  
Jennifer S. Savage
Keyword(s):  
Food Security ◽  
Individual Differences ◽  
Head Start ◽  
Low Income ◽  
Reward Sensitivity ◽  
Household Food Security ◽  
Child Characteristics ◽  
Household Food ◽  
Food Security Status ◽  
Reinforcing Value

The relative reinforcing value (RRV) of food measures how hard someone will work for a high-energy-dense (HED) food when an alternative reward is concurrently available. Higher RRV for HED food has been linked to obesity, yet this association has not been examined in low-income preschool-age children. Further, the development of individual differences in the RRV of food in early childhood is poorly understood. This cross-sectional study tested the hypothesis that the RRV of HED (cookies) to low-energy-dense (LED; fruit) food would be greater in children with obesity compared to children without obesity in a sample of 130 low-income 3- to 5-year-olds enrolled in Head Start classrooms in Central Pennsylvania. In addition, we examined individual differences in the RRV of food by child characteristics (i.e., age, sex, and reward sensitivity) and food security status. The RRV of food was measured on concurrent progressive-ratio schedules of reinforcement. RRV outcomes included the last schedule reached (breakpoint) for cookies (cookie Pmax) and fruit (fruit Pmax), the breakpoint for cookies in proportion to the total breakpoint for cookies and fruit combined (RRV cookie), and response rates (responses per minute). Parents completed the 18-item food security module to assess household food security status and the Behavioral Activation System scale to assess reward sensitivity. Pearson’s correlations and mixed models assessed associations between continuous and discrete child characteristics with RRV outcomes, respectively. Two-way mixed effects interaction models examined age and sex as moderators of the association between RRV and Body Mass Index z-scores (BMIZ). Statistical significance was defined as p < 0.05. Children with obesity (17%) had a greater cookie Pmax [F (1, 121) = 4.95, p = 0.03], higher RRV cookie [F (1, 121) = 4.28, p = 0.04], and responded at a faster rate for cookies [F (1, 121) = 17.27, p < 0.001] compared to children without obesity. Children with higher cookie response rates had higher BMIZ (r = 0.26, p < 0.01); and RRV cookie was positively associated with BMIZ for older children (5-year-olds: t = 2.40, p = 0.02) and boys (t = 2.55, p = 0.01), but not younger children or girls. The RRV of food did not differ by household food security status. Low-income children with obesity showed greater motivation to work for cookies than fruit compared to their peers without obesity. The RRV of HED food may be an important contributor to increased weight status in boys and future research is needed to better understand developmental trajectories of the RRV of food across childhood.

scholarly journals Soup kitchen users' social representations of healthy eating associated with their household food security status

2016 ◽  
Vol 29 (2) ◽  
pp. 229-240
Author(s):  
Isabel Cristina BENTO ◽  
Fernanda Martins SOBRINHO ◽  
Mery Natali Silva ABREU ◽  
Maria Flávia GAZZINELLI ◽  
Simone Cardoso Lisboa PEREIRA
Keyword(s):  
Food Security ◽  
Healthy Eating ◽  
Low Income ◽  
Univariate Analysis ◽  
Social Representation ◽  
Household Food Security ◽  
Household Food ◽  
Food Security Status ◽  
Food And Nutrition ◽  
Belo Horizonte

Objective: To verify whether what users of soup kitchens in Belo Horizonte, Minas Gerais, Brazil, think about a healthy diet and the challenges they face to eat healthy are associated with their household food security status. Methods: This cross-sectional study included 1,656 users of soup kitchens in Belo Horizonte. Socioeconomic and household food security data, and healthy-eating discourses were collected by a semi-structured questionnaire. The data were submitted to descriptive analyses for constructing frequency distribution tables, and to univariate analysis. Discourse analysis was based on the social representation theory. Results: To cut, reduce, avoid, not eat, eat less, and decrease carbohydrates, salt, meats, various beverages, and other foods are the most frequent changes (71.4%) that food-secure users have made or intend to make. Food-insecure users intended to eat more fruits, non-starchy vegetables, and other foods (34.4%). The main obstacles food-secure and food-insecure users face to adopt a healthier diet are lack of time (82.9%) and low income (53.5%), respectively (p<0.001). Conclusion: What users of soup kitchens in Belo Horizonte think about food and the obstacles they face to adopt a healthier diet are related to their household food security status. The results provide valuable data for effective proposals of food and nutrition education, which should act on the producers of subjectivity in this group and consider this group's food and nutrition security status.

Household Food Security Status Is Associated with Anemia Risk at Age 18 Months among Low-Income Infants in Massachusetts

2016 ◽  
Vol 116 (11) ◽  
pp. 1760-1766 ◽  
Author(s):  
Elizabeth Metallinos-Katsaras ◽  
Rachel Colchamiro ◽  
Sari Edelstein ◽  
Elizabeth Siu
Keyword(s):  
Food Security ◽  
Low Income ◽  
Household Food Security ◽  
Household Food ◽  
Food Security Status

scholarly journals Exploring the Relationship Between Attendance at USDA Summer Food Service Program Sites and Baseline Household Food Security Status: Results from the Project SWEAT Study

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 204-204
Author(s):  
Laura Hopkins ◽  
Cara Pannell ◽  
Carolyn Gunther
Keyword(s):  
Food Security ◽  
Low Income ◽  
Food Service ◽  
Text Messages ◽  
Household Food Security ◽  
Service Program ◽  
Household Food ◽  
Food Security Status ◽  
Significant Difference ◽  
The Relationship

Abstract Objectives Explore the relationship between attendance at USDA Summer Food Service Program (SFSP) sites and baseline household food security status. Methods Two elementary schools in low-income urban neighborhoods of Columbus, OH were recruited. Families with children at these schools in grades pre-kindergarten through fifth were invited to participate. Caregivers completed a demographic survey at the end of school year 1 (baseline [t0]). Household food security was assessed at t0 using the USDA 6-item Short Form Food Security Module and based on responses participants were categorized as living in high marginal food security (HMFS), low food security (LFS), or very low food security (VLFS) households. Child attendance at USDA SFSP sites was collected via weekly text messages to caregivers using the online TextIt© platform. ANOVA was conducted to determine differences in attendance level by household food security status. Results 113 children representing 78 families enrolled. Mean age was 7.10 ± 0.21 yr, 79.65% were African American, 72.73% were low-income, and mean annual income was $28,222. Approximately 27% of families (n = 21) reported living in LFS (n = 10, 14.82%) or VLFS (n = 11, 12.10%) households. Overall mean attendance at summer programming was 10.40 ± 1.43 days (out of 50 possible days) and attendance by household food security status was 10.51 ± 1.61 (HMFS), 19.00 ± 6.15 (LFS), and 5.70 ± 2.85 (VLFS) days with a significant difference (P = 0.04) between LFS and VLFS households. Conclusions Children in VLFS (vs HMFS and LFS) households, who are at increased risk for hunger during the summertime window of risk, are attending sites offering the USDA SFSP least frequently. Future research and programmatic efforts should be targeted at children from the most vulnerable households to ensure food security during the summertime window of risk. Funding Sources USDA NC-NECE.

Prevalence and Correlates of Food Insecurity among Students Attending a Small, Rural Canadian University

2018 ◽  
Vol 79 (3) ◽  
pp. 125-128 ◽  
Author(s):  
Erica Reynolds ◽  
Christine Johnson ◽  
Jennifer A. Jamieson ◽  
Hannah Mawhinney
Keyword(s):  
Food Security ◽  
University Students ◽  
Food Insecurity ◽  
Low Income ◽  
Household Food Security ◽  
Potential Health ◽  
Web Based ◽  
Household Food ◽  
Food Security Status ◽  
Academic Implications

Purpose: University students may be at risk for food insecurity (FI) due to low income coupled with rising tuition, housing, and food costs. This study aimed to determine the prevalence of FI and potential correlates among students at a small, rural Canadian university. Methods: Health Canada’s 10-item household food security survey module (HFSSM) was adapted to assess food security status within the postsecondary student population. An additional 11 items measured food access and demographics. The validated, web-based survey was distributed by email and completed by 218 students (15.6% response rate). Participants were classified as food secure, moderately food insecure, or severely food insecure using the HFSSM Adult scale. Results: An overall FI rate of 37.2% was observed. This included 25.7% moderately food insecure and 11.5% severely food insecure. Students in higher years of study and who lived off campus had higher rates of FI. Conclusions: FI appears to be a significant concern for university students and has potential health and academic implications. Further research is needed to clarify the determinants and extent of FI for postsecondary students and to develop strategies to mitigate the prevalence and effects of food insecurity in these young adults.

Food Security Status and Factors Affecting Household Food Security in Enugu State, Nigeria

2021 ◽  
Vol 32 (1) ◽  
pp. 565-581
Author(s):  
Wilson Chukwukasi Kassy ◽  
Anne C Ndu ◽  
Chinyere Cecilia Okeke ◽  
Elisa Chwike Aniwada
Keyword(s):  
Food Security ◽  
Household Food Security ◽  
Factors Affecting ◽  
Household Food ◽  
Food Security Status ◽  
Enugu State

scholarly journals Measuring household food security: the global experience

2008 ◽  
Vol 21 (suppl) ◽  
pp. 27s-37s ◽  
Author(s):  
Hugo Melgar-Quinonez ◽  
Michelle Hackett
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
The United States ◽  
Household Food Security ◽  
United States Department ◽  
Department Of Agriculture ◽  
Governmental Agencies ◽  
Household Food ◽  
Food Security Status ◽  
New Research

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.

scholarly journals Household Food Security Status and Its Determinants in Maphumulo Local Municipality, South Africa

2018 ◽  
Vol 10 (9) ◽  
pp. 3307 ◽  
Author(s):  
Primrose Ngema ◽  
Melusi Sibanda ◽  
Lovemore Musemwa
Keyword(s):  
South Africa ◽  
Food Security ◽  
Food Consumption ◽  
Dietary Diversity ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Household Food Security ◽  
Binary Logistic Regression Model ◽  
Household Food ◽  
Food Security Status

Food security at the household level remains a major issue in South Africa and for many other developing countries, particularly those in Africa. As a means of ensuring food security in KwaZulu-Natal province, various food security intervention programmes were launched. Nonetheless, food security remains an issue among households in the province. This paper estimates the household food security status of the “One Home One Garden” (OHOG) beneficiaries against that of non-beneficiaries and assesses the determinants of household food security status in Maphumulo. A stratified random sampling technique was used to sample 495 households (including 330 OHOG beneficiaries and 165 non-beneficiaries). The status of household food security was estimated by means of a “Household Dietary Diversity Score” (HDDS). Additionally, a Household Food Consumption Score” (HFCS) tool was employed to supplement the HDDS. The results showed that food consumption patterns were characterized by medium (4.89) and average (4.22) HDDS for the OHOG beneficiaries and non-beneficiaries, respectively. Taking HDDS as a proxy for household food security, an independent samples t-test (Levene’s test—equal variances assumed) reveals a significant (p < 0.001) relationship between the sample means of the two groups. A greater proportion (65%) of the OHOG beneficiaries had an acceptable (≥35) HFCS level, whereas just over half (54%) of the non-beneficiaries fell in the borderline (21.5 to 35) HFCS level. The determinants of household food security status were elicited by means of a binary logistic regression model. The results revealed that education (p = 0.036), receiving infrastructural support (irrigation) (p = 0.001), and participation in the OHOG programme (p = 0.000) positively influenced the food security status of households, yet household income (p = 0.000) and access to credit (p = 0.002) showed a negative correlation. This paper proposes that government and developmental agencies, in their efforts to enhance food security through food security intervention programmes, should support households by investing in education and agricultural infrastructure, as well as giving priority to smallholder infrastructural irrigation support for households that largely rely on rain-fed systems.

scholarly journals Exploring Food Security and Household Dietary Diversity in the Eastern Cape Province, South Africa

2020 ◽  
Vol 12 (5) ◽  
pp. 1851
Author(s):  
Priviledge Cheteni ◽  
Yohane Khamfula ◽  
Gisele Mah
Keyword(s):  
Food Security ◽  
Food Consumption ◽  
Dietary Diversity ◽  
Household Food Security ◽  
Eastern Cape ◽  
Household Food ◽  
Binary Model ◽  
Food Security Status ◽  
Food Consumption Score ◽  
Household Dietary Diversity

Food security is one of the most severe challenges facing the majority of African countries. The objective of this study was to explore household food dietary diversity and food security in a rural area in the Eastern Cape Province, South Africa. A total of 296 household heads were randomly sampled to participate in the study. The Household Dietary Diversity Score (HDDS) and Household Food Consumption Score (HFCS) were used to identify the consumption patterns of the households and their food security status. Meanwhile, a binary model was used to identify the variables that had an impact on household food security. Findings from the Household Dietary Diversity Score (HDDS) revealed that 61 percent of the households had lower dietary diversity and were consuming at least three food groups, which mainly include pulses, milk, and cereals. The results from the Household Food Consumption Score (HFCS), however, showed that the majority of the households had adequate levels of food consumption. The binary model revealed that age, household income, access to credit, and gender are statistically significant in influencing household food security status in the study area. It can be concluded that household dietary diversity is not guaranteed by food security, as proven by the regression model. Therefore, the government should consider the impact of low income on food security and it should intensify efforts directed at helping rural households to reduce incidences of food insecurity.

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