scholarly journals Effect of a conditional cash transference program on food insecurity in Mexican households: 2012–2016

2021 ◽  
pp. 1-10
Author(s):  
Mariana Saldivar-Frausto ◽  
Mishel Unar-Munguía ◽  
Ignacio Méndez-Gómez-Humarán ◽  
Sonia Rodríguez-Ramírez ◽  
Teresa Shamah-Levy
Keyword(s):  
Propensity Score ◽  
Food Insecurity ◽  
Social Inclusion ◽  
Cross Sectional ◽  
Household Level ◽  
The Social ◽  
Quasi Experimental ◽  
Households With Children ◽  
Positive Effect ◽  
Mexican Populations

Abstract Objective: To estimate the effects of the social inclusion programme PROSPERA on food insecurity (FI) in Mexican households during 2012 and 2016. Design: Quasi-experimental study using cross-sectional data from 2012 to 2016 National Household Income and Expenditure Survey – Socioeconomic Conditions Module (in Spanish, ENIGH-MCS). Setting: Data were used from a 2012 sample of 56 888 Mexican households (representative of 31 206 819 households) and a 2016 sample of 70 263 Mexican households (representative of 33 445 353 households). Severity of FI was estimated with the Mexican Food Security Scale (in Spanish, EMSA). The statistical analysis estimated a differences in differences (DD) model weighted by propensity score to compare program beneficiary and non-beneficiary households in 2012 than in 2016. We estimated the effect on households with and without children (< 18 years of age). We also compared this model to a DD model without propensity score weighting. Participants: Mexican households. Results: FI among all beneficiary households decreased 8·0pp as compared to non-beneficiary households over the study period. In beneficiary households with children, this decrease was 6·0pp and for beneficiary households without children, this decrease was 12·9pp (for all, P-value < 0·001). Conclusions: The PROSPERA program had a positive effect on FI reduction at the household level through increasing food access, which usually improves nutritional outcomes in vulnerable Mexican populations.

scholarly journals Understanding Food Waste, Food Insecurity, and the Gap between the Two: A Nationwide Cross-Sectional Study in Saudi Arabia

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 681
Author(s):  
Nora A. Althumiri ◽  
Mada H. Basyouni ◽  
Ali F. Duhaim ◽  
Norah AlMousa ◽  
Mohammed F. AlJuwaysim ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Food Insecurity ◽  
Food Waste ◽  
Cross Sectional ◽  
Household Level ◽  
Individual Level ◽  
Factors Associated ◽  
Household Factors ◽  
Cooked Food ◽  
The Individual

Background: Food waste and food insecurity may co-exist in various balances in developing and developed countries. This study aimed to explore the levels of food waste and food insecurity, the factors associated with them, and their relationships at the household and individual levels in Saudi Arabia. Methods: This study was a nationwide cross-sectional survey conducted via computer-assisted phone interviews in January 2021. Quota sampling was utilized to generate balanced distributions of participants by gender across all the administrative regions of Saudi Arabia. Data collection included household demographics, food waste and disposal, the Food Insecurity Experience Scale (FIES), and the Household Food Insecurity Access Scale (HFIAS). Results: Out of the 2807 potential participants contacted, 2454 (87.4%) completed the interview. The mean age was 31.4 (SD = 11.7; range = 18–99) and 50.1% were female. The weighted prevalence of uncooked food waste in the last four weeks was 63.6% and the cooked food waste was 74.4%. However, the food insecurity weighted prevalence at the individual level (FIES) was 6.8%. In terms of food insecurity at the household level (HFIAS), 13.3% were in the “severely food insecure” category. Moreover, this study found that “moderately food insecure” households were associated with an increased likelihood to waste uncooked food (relative risk (RR) = 1.25), and the “mildly food insecure” (RR = 1.21) and “moderately food insecure” (RR = 1.17) households were associated with an increased likelihood to waste cooked food. However, “food secure” households were associated with a decreased likelihood to waste cooked food (RR = 0.56). Finally, this study identified four household factors associated with food waste and three household factors that were associated with “severe food insecurity.” Conclusions: This first national coverage study to explore food waste and food insecurity at the individual level and household level, identified household factors associated with food waste and food insecurity and identified new associations between food waste and food insecurity in Saudi Arabia. The associations found between food waste and food insecurity are potential areas of intervention to reduce both food waste and food insecurity at the same time, toward achieving the Sustainable Development Goal (SDG) targets related to food waste and food security.

scholarly journals Prevalence of food insecurity at household level and its associated factors in rural Puducherry: A cross-sectional study

2020 ◽  
Vol 45 (3) ◽  
pp. 303
Author(s):  
SGanesh Kumar ◽  
Bharathnag Nagappa ◽  
Tanveer Rehman ◽  
Yamini Marimuthu ◽  
Shanthosh Priyan ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Household Level

Food insecurity, food expenses and consumption of sugar and soft drinks in households with and without children and/or adolescents

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
Keyword(s):  
Food Insecurity ◽  
Family Income ◽  
Household Head ◽  
Cross Sectional Study ◽  
Soft Drinks ◽  
Measurement Scale ◽  
Sugar Consumption ◽  
Cross Sectional ◽  
Gender And Education ◽  
Households With Children

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.

scholarly journals Determinants and constraints to household-level animal source food consumption in rural communities of Ethiopia

2021 ◽  
Vol 10 ◽  
Author(s):  
Alemneh Kabeta Daba ◽  
Mary Murimi ◽  
Kebede Abegaz ◽  
Dejene Hailu
Keyword(s):  
Rural Communities ◽  
Food Insecurity ◽  
Nutrition Education ◽  
Family Size ◽  
Educational Achievement ◽  
Rural Households ◽  
Cross Sectional ◽  
Household Level ◽  
Animal Source ◽  
Consumption Frequency

Abstract Animal source foods (ASF) contain quality nutrients important for growth, development, immunity and behavioural outcomes. Plant-based foods also provide the nutrients, but with lower bioavailability than ASF. Evidence on household-level ASF consumption frequency, constraints and determinants are limited for Ethiopia. Therefore, the present study aimed to assess the consumption frequency of ASF and to identify determinants and constraints among rural households in Ethiopia. A cross-sectional study was conducted in 422 households. The consumption frequency of ASF was assessed using a food frequency screener over 30 days. Twelve statements with Likert scale responses were used to identify constraints to ASF consumption. Ordinal logistic regression was used to identify determinants of ASF consumption. About a quarter (26 %) of the households consumed milk one to two times per week. One out of five households consumed eggs one to two times per week (20 %) or one to two times per month (19 %). Poultry and meat were never consumed by 92 and 60 % of the households, respectively. Unavailability, unaffordability, consumption tradition and income generation priority were constraints identified. Food insecurity, livestock ownership, income, family size and women's education were associated (P < 0⋅05) with selected ASF consumption. Rural households in Ethiopia did not consume ASF on regular basis. Poor socio-demographic and economic conditions as determined by food insecurity, property ownership, income, educational achievement, family size and ASF unavailability and unaffordability contributed to the lower consumption frequency of ASF by households in rural Ethiopia. Nutrition policies and programmes should focus on nutrition-sensitive agricultural extension, livelihood improvement and women empowerment interventions integrated with nutrition education to improve ASF consumption in rural settings.

Stunting, dietary diversity and household food insecurity among children under 5 years in ethnic communities of northern Thailand

2018 ◽  
Vol 41 (4) ◽  
pp. 772-780 ◽  
Author(s):  
Anna L Roesler ◽  
Lisa G Smithers ◽  
Prasit Wangpakapattanawong ◽  
Vivienne Moore
Keyword(s):  
Food Insecurity ◽  
Child Nutrition ◽  
Dietary Diversity ◽  
Ethnic Communities ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Northern Thailand ◽  
Households With Children ◽  
Minimum Dietary Diversity ◽  
Children Under 5

ABSTRACT Background The aim of this study was to describe stunting in infants and young children in the ethnic communities of northern Thailand and to explore associations with dietary diversity and household factors including food security. Methods A cross-sectional survey of households with children under 5 years from eight villages. Adult respondents provided information on foods consumed by each child and details of the household. Heights and weights of children were measured. Results Adults from 172 households and 208 children participated. Overall, 38% of children were stunted. Exclusive breastfeeding was rare, but the proportion consuming breastmilk at 24 months (75%) was high. Few children (7%) aged 6–11 months met minimum dietary diversity. Stunted children were less likely than non-stunted children to meet minimum dietary diversity (63 versus 82%). Widespread food insecurity did not discriminate between stunted and non-stunted children. Stunting was elevated when households had little land and few animals. Conclusions Stunting was widespread in children under 5 years of age, in part reflecting poor dietary diversity, especially at age 6–11 months. Stunting was worst in households with least assets. Small increases in land or animals, or equivalent resources, appear to be required to improve child nutrition in extremely poor families.

How do context variables affect food insecurity in Mexico? Implications for policy and governance

2019 ◽  
Vol 23 (13) ◽  
pp. 2445-2452 ◽  
Author(s):  
Mireya Vilar-Compte ◽  
Pablo Gaitán-Rossi ◽  
Diana Flores ◽  
Vanessa Pérez-Cirera ◽  
Graciela Teruel
Keyword(s):  
Food Insecurity ◽  
Linear Models ◽  
Secondary Data ◽  
State Level ◽  
Cross Sectional ◽  
Household Level ◽  
Multiple Variables ◽  
Climate Vulnerability ◽  
Political Differences ◽  
Different Levels

AbstractObjective:To assess, from a systems perspective, how climate vulnerability and socio-economic and political differences at the municipal and state levels explain food insecurity in Mexico.Design:Using a cross-sectional design with official secondary data, we estimated three-level multinomial hierarchical linear models.Setting:The study setting is Mexico’s states and municipalities in 2014.Participants:Heads of households in a representative sample of the general population.Results:At the municipal level, vulnerability to climate disasters and a poverty index were significant predictors of food insecurity after adjusting for household-level variables. At the state level, gross domestic product and the number of nutrition programmes helped explain different levels of food insecurity but change in political party did not. Predictors varied in strength and significance according to the level of food insecurity.Conclusions:Findings evidence that, beyond food assistance programmes and household characteristics, multiple variables operating at different levels – like climate vulnerability and poverty – contribute to explain the degree of food insecurity. Food security governance is a well-suited multisectoral approach to address the complex challenge of hunger and access to a nutritious diet.

scholarly journals Bayesian regression model with application to a study of food insecurity in household level: a cross sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yenesew Fentahun Gebrie
Keyword(s):  
Food Insecurity ◽  
Soil Fertility ◽  
Bayesian Estimation ◽  
Agricultural Land ◽  
Household Head ◽  
Household Food Insecurity ◽  
Cross Sectional ◽  
Household Level ◽  
Household Food ◽  
Land Size

Abstract Background Food insecurity is a situation in which access to sufficient food is limited at times during the year by a lack of money and other resources. Even though several efforts were made to recover food security, still it is a critical social problem that needs immediate attention from policy and other decision makers especially in Ethiopia. The objective of the paper was to identify the significant predictors of food insecurity at household level in the given District. Method A cross-sectional survey study was employed among 305 households selected using systematic random sampling technique. The data was collected using structured interviewer administrative questionnaire. Descriptive statistics was used to assess the prevalence of food insecurity status, and Bayesian estimation on binary logistic regression was used to identify the significant predictors of household food insecurity. Gibbs sampler algorithm was employed on Win BUGS software. Convergence of algorithm was assessed by using time series plot, density plot and auto correlation plot. Result The prevalence of household food insecurity was 59% in the study District. From Bayesian estimation, the significant predictors of food insecurity were sex of household head, agro-ecological zone, loan status, access to agricultural training, age of household head, marital status of household head, family size, agricultural land size, tropical livestock unit, and soil fertility of agricultural land. Conclusion The result shows that the households headed by male; who had own land, who land fertile soil, and those who took agricultural training were less likely to be food insecure. On the other hand, households with large family size, small farm land size and less tropical livestock unit were more likely to be food insecure. Hence, to increase food production and productivity of the farmers, proper attention should be given to improve soil fertility of agricultural land. Creating access to credit to households and providing them with agricultural training and family planning should be also emphasized.

scholarly journals Rising Staple Prices and Food Insecurity: The Case of the Mexican Tortilla

2020 ◽  
Author(s):  
Camilo Bohorquez-Penuela ◽  
Mariana Urbina-Ramirez
Keyword(s):  
Food Insecurity ◽  
Unobserved Heterogeneity ◽  
State Level ◽  
Food Prices ◽  
Income Quintile ◽  
Household Level ◽  
Level Data ◽  
Level Information ◽  
Households With Children ◽  
Time Invariant

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.

scholarly journals Like parent, like child: a cross-sectional study of intra-household consumption patterns of non-alcoholic beverages among British households with children

2021 ◽  
pp. 1-22
Author(s):  
Charlotte O’Leary ◽  
Steven Cummins ◽  
Richard D Smith ◽  
Laura Cornelsen
Keyword(s):  
Household Consumption ◽  
Cross Sectional Study ◽  
Consumption Patterns ◽  
Alcoholic Beverages ◽  
Cross Sectional ◽  
Household Level ◽  
Sweetened Beverages ◽  
Households With Children ◽  
Diet Drinks ◽  
The Individual

Abstract Objective: Most research investigating sugar-sweetened beverages (SSBs) and health, conducted at the individual or household level, ignores potentially important intra-household dynamics. We analysed self-reported consumption relationships between children and adults, and between children of different ages, as well as the associations between intra-household consumption, body mass index and socio-demographic characteristics. Design: A cross-sectional analysis of survey data from Kantar Fast Moving Consumer Goods panellists in September 2017. Setting: Great Britain Participants: Random sample of 603 households with children under 18 who regularly purchase non-alcoholic beverages. Results: Low or no-sugar/diet beverages dominate consumption across all age categories, particularly children under 12 years. SSB consumption increased as children became older. Children’s reported consumption of SSBs and low or no-sugar/diet beverages was positively associated with consumption by adults; a child in adolescence had over nine times the odds of consuming SSBs (adjusted OR 9.55, 95% CI 5.38, 17.00, p<0.001), and eight times the odds of consuming low or no-sugar/diet drinks (adjusted OR 8.12, 95% CI 4.71, 13.97, p<0.001), if adults did so. In households with multiple children, consumption patterns of older siblings were associated with those of the younger; notably a perfect correlation between children 0-6 years consuming SSBs if siblings 13-18 years did so, and children 7-12 years had 22 times the odds of consuming SSBs if siblings 13-18 years did so (OR 22.33, 95% CI 8.60, 58.01, p<0.001). Conclusions: Multiple policies, targeting children as well as adults, such as fiscal levers and advertisement restrictions, are needed to reduce and prevent consumption of SSBs.

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