scholarly journals DETERMINANTS OF HOUSEHOLD FOOD SECURITY: A COMPARATIVE ANALYSIS OF EASTERN AND WESTERN INDONESIA

2014 ◽  
Vol 15 (1) ◽  
pp. 17 ◽  
Author(s):  
Puspi Eko Wiranthi ◽  
Heny Kuswanti Suwarsinah ◽  
Andriyono Kilat Adhi
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Household Head ◽  
Household Food Security ◽  
Western Region ◽  
Eastern Region ◽  
Credit Access ◽  
Household Food ◽  
Ordered Logistic Regression ◽  
The Difference

Indonesian Food Security Council in 2009 issued a Food Security and Vulnerability Atlas (FSVA) which stated that there were 100 districts in Indonesia which were most vulnerable to food insecurity and 79% of which were located in eastern region. By using Susenas regular data in 2008, this study aimed to analyze determinants of household food security in eastern compared to western region. The ordered logistic regression model was employed to investigate the determinants of household food security. The result showed that most of households in Indonesia were vulnerable to food insecurity (41.76%). The percentage in eastern region (48.56%) was higher than that in western region (41.76%). Increase in expenditure equivalent, age and education level of household head, female household head, small household size, household head’s occupation in non-agriculture and urban household would increase the probability of a household to become food secure in both regions. The difference was in the factor of access to electricity in eastern and access to safe drinking water and loan in western region. Policies which aim to increase education, credit access, and intensive family planning have big roles in improving household food security.

scholarly journals DETERMINANTS OF HOUSEHOLD FOOD SECURITY: A COMPARATIVE ANALYSIS OF EASTERN AND WESTERN INDONESIA

2014 ◽  
Vol 15 (1) ◽  
pp. 17
Author(s):  
Puspi Eko Wiranthi ◽  
Heny Kuswanti Suwarsinah ◽  
Andriyono Kilat Adhi
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Household Head ◽  
Household Food Security ◽  
Western Region ◽  
Eastern Region ◽  
Credit Access ◽  
Household Food ◽  
Ordered Logistic Regression ◽  
The Difference

Indonesian Food Security Council in 2009 issued a Food Security and Vulnerability Atlas (FSVA) which stated that there were 100 districts in Indonesia which were most vulnerable to food insecurity and 79% of which were located in eastern region. By using Susenas regular data in 2008, this study aimed to analyze determinants of household food security in eastern compared to western region. The ordered logistic regression model was employed to investigate the determinants of household food security. The result showed that most of households in Indonesia were vulnerable to food insecurity (41.76%). The percentage in eastern region (48.56%) was higher than that in western region (41.76%). Increase in expenditure equivalent, age and education level of household head, female household head, small household size, household head’s occupation in non-agriculture and urban household would increase the probability of a household to become food secure in both regions. The difference was in the factor of access to electricity in eastern and access to safe drinking water and loan in western region. Policies which aim to increase education, credit access, and intensive family planning have big roles in improving household food security.

Who suffers from food insecurity in Indonesia?

2019 ◽  
Vol 46 (10) ◽  
pp. 1186-1197
Author(s):  
Eka Rastiyanto Amrullah ◽  
Akira Ishida ◽  
Ani Pullaila ◽  
Aris Rusyiana
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Household Head ◽  
Household Survey ◽  
Household Food Security ◽  
Food Category ◽  
Data Set ◽  
Content Type ◽  
Household Food ◽  
Individual Household

Purpose The purpose of this paper is to clarify the socioeconomic determinants of household food insecurity in Indonesia using individual household data obtained from the 2015 nationwide household socioeconomic and expenditure survey called Survei Sosial Ekonomi Nasional. Design/methodology/approach A stereotype logistic regression model is applied to detect factors determining household food security. Findings The results from the cross-analysis between calorie consumption and share of food expenditure to total household expenditure (Engel coefficient) indicate that 20.8 percent of households were in the “food insecure” category, 21.5 percent in the “lack of food” category, 26.6 percent in the “vulnerable” category and the remaining 31.2 percent in the “food secure” category. Research limitations/implications The main limitation relates to the data set because the collection was conducted in March 2015. Furthermore, the analysis is restricted because of the limited availability of information on socioeconomic factors of respondents. Further research based on the latest data set with more detailed information on respondents is necessary to deepen the discussion. Originality/value Researchers have not specifically discussed the factors determining household food security in Indonesia using reliable nationwide household survey data. The estimation results clearly indicate that a household fulfilling one or more of the following conditions is more likely to be in the “food insecure” category: many members, low education level of household head, divorced household head, household head is a smoker, household head engages in agriculture or construction work and residence is in rural or backward regions.

scholarly journals High food insecurity in Latinx families and associated COVID-19 infection in the Greater Bay Area, California

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Milagro Escobar ◽  
Andrea DeCastro Mendez ◽  
Maria Romero Encinas ◽  
Sofia Villagomez ◽  
Janet M. Wojcicki
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
San Francisco ◽  
Employment Status ◽  
The United States ◽  
Household Food Security ◽  
Bay Area ◽  
Household Food ◽  
History Of ◽  
The Impact

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.

scholarly journals AB0657 PERCEIVED STRESS AND FOOD INSECURITY IN PREGNANT AND POSTPARTUM WOMEN WITH RHEUMATIC DISEASES DURING THE COVID-19 PANDEMIC

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1360.3-1361
Author(s):  
L. G. Espinosa Banuelos ◽  
P. R. Ancer Rodríguez ◽  
M. G. Herrera López ◽  
C. M. Skinner Taylor ◽  
L. Pérez Barbosa ◽  
...  
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Perceived Stress ◽  
Rheumatic Diseases ◽  
Household Food Security ◽  
Postpartum Women ◽  
Depression And Anxiety ◽  
Perceived Stress Scale ◽  
Stress Scale ◽  
Household Food

Background:The SARS-CoV-2 pandemic has directly impacted the psychological and physical health of individuals worldwide, as well as the global economy. Food insecurity rates have risen especially in vulnerable countries like Mexico. Furthermore, social isolation and economic uncertainty have multiplied depression and anxiety disorders. Pregnant and postpartum women are particularly vulnerable to food insecurity, increased stress, depression, and anxiety.Objectives:The aim of this study is to determine the perception of food insecurity (FI) and perceived stress in pregnant and postpartum women with rheumatic disease during the SARS-CoV-2 pandemic.Methods:An observational, cross-sectional and descriptive study was conducted. Patients from to the pregnancy and rheumatic diseases clinic of the University Hospital “Dr. José E. González” in Northeast Mexico evaluated between August to October 2020 were included. The Spanish validated versions of the Household Food Security Access Scale (HFIAS) and the Perceived Stress Scale (PSS-10) were applied by telephonic interview. The WHO recommendations were employed to determine the appropriate intake for each food group in a week. The Kolmogorov-Smirnov test was used to determine normality of the data. The Spearman correlation coefficient and the Kruskal-Wallis test were used for statistical analysis.Results:A total of 29 women were included. Six (20.6%) women were found to have moderate or severe degrees of food insecurity. In addition, 12 (40.30%) perceived moderate and severe levels of stress in the PSS-10. No relationship was found between food insecurity and perceived stress (p= 0.059). The food groups that exceeded the recommended weekly frequency were oils and sugars exceeded 3.9 and 2.9 frequencies, respectively.Conclusion:We found that 20.6% women suffered household food insecurity and 40.3% suffered moderate and severe levels of stress. No relationship was found between food insecurity with the HIFAS scale and perceived stress measures with the PSS-10. We found that oils and sugars exceeded more by the double of the recommended frequency per week.References:[1]Pérez-Escamilla R, Cunningham K, Moran VH. COVID-19 and maternal and child food and nutrition insecurity: a complex syndemic. Matern Child Nutr. 2020;16(3):e13036. doi:10.1111/mcn.13036[2]Adams EL, Caccavale LJ, Smith D, Bean MK. Food Insecurity, the Home Food Environment, and Parent Feeding Practices in the Era of COVID-19. Obesity (Silver Spring). 2020;28(11):2056-2063. doi:10.1002/oby.22996Table 1.Socio-demographic characteristics and scale results.Age, years, mean (SD)27.5 (7.03)Diagnosis, n (%)RA16 (55.1)SLE7 (24.4)Others6 (20.6)Results per scalesHFIAS, n (%)No risk13 (44.8)Mild10 (34.4)Moderated3 (10.3)Severe3 (10.3)EPP-10, n (%)Mild17 (58.6)Moderated9 (31.0)Severe3 (10.3)SD: standard deviation, RA: Rheumatoid arthritis, SLE: Systemic lupus erythematosus, HFIAS: Household food security access component scale, EPP-10: Perceived stress scale 10 items.Disclosure of Interests:None declared.

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 Preparing for COVID-19: Household food insecurity and vulnerability to shocks in Nairobi, Kenya

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259139
Author(s):  
Elizabeth Opiyo Onyango ◽  
Jonathan Crush ◽  
Samuel Owuor
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Emergency Preparedness ◽  
Multilevel Modelling ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Preparedness Plan ◽  
Household Food ◽  
New Policies ◽  
Social Safety Nets

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.

scholarly journals Factors Associated with Household Food Security in Zambia

2019 ◽  
Vol 11 (9) ◽  
pp. 2715 ◽  
Author(s):  
William Nkomoki ◽  
Miroslava Bavorová ◽  
Jan Banout
Keyword(s):  
Food Security ◽  
Land Tenure ◽  
Smallholder Farmers ◽  
Household Head ◽  
Animal Husbandry ◽  
Household Food Security ◽  
Food And Nutrition Security ◽  
Nutrition Security ◽  
Household Food ◽  
Food And Nutrition

Food security is a global challenge and threatens mainly smallholder farmers in developing countries. The main aim of this paper is to determine factors that are associated with food security in Zambia. This study utilizes the household questionnaire survey dataset of 400 smallholder farmers in four districts conducted in southern Zambia in 2016. To measure food security, the study employs two food security indicators, namely the food consumption score (FCS) and the household hunger scale (HHS). Two ordered probit models are estimated with the dependent variables FCS and HHS. Both the FCS and HHS models’ findings reveal that higher education levels of household head, increasing livestock income, secure land tenure, increasing land size, and group membership increase the probability of household food and nutrition security. The results imply that policies supporting livestock development programs such as training of farmers in animal husbandry, as well as policies increasing land tenure security and empowerment of farmers groups, have the potential to enhance household food and nutrition security.

scholarly journals Association between Household Food Insecurity and Asthma in Korean Adults

2019 ◽  
Vol 16 (12) ◽  
pp. 2115 ◽  
Author(s):  
Seo-Hee Park ◽  
Byung-Jin Park ◽  
Dong-Hyuk Jung ◽  
Yu-Jin Kwon
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Confidence Intervals ◽  
Household Food Security ◽  
Asthma Prevalence ◽  
Household Food Insecurity ◽  
Confounding Factors ◽  
Odds Ratios ◽  
Korean Adults ◽  
Household Food

Household food insecurity has been associated with noncommunicable diseases. The aim of this study was to investigate the association between household food insecurity and asthma in Korean adults. Household food security statuses were classified into three groups: Food-secure household, food-insecure household without hunger, and food-insecure household with hunger. The odds ratios and 95% confidence intervals for the presence of asthma according to household food security status were calculated using multiple logistic regression analyses after adjusting for confounding factors. A total of 14,770 participants were included in the analysis. The prevalence of asthma was 2.6% in those with a secure food status, 3.2% in those with an insecure food status without hunger, and 7.6% in those with an insecure food status with hunger (p < 0.001). Compared with that in participants with a household food secure status, the odds ratios (95% confidence intervals) for asthma were 1.12 (0.73–1.73) in those with a food-insecure household without hunger status and 2.44 (1.33–4.46) in those with a food-insecure household with hunger status after additionally adjusting for confounding factors. We found that household food insecurity with hunger was significantly associated with asthma prevalence in Korean adults. Implementation of household food security screening and public health intervention could be helpful to prevent and reduce asthma in adults.

scholarly journals Household food security status and associated factors among high-school students in Esfahan, Iran

2010 ◽  
Vol 13 (10) ◽  
pp. 1609-1613 ◽  
Author(s):  
Assieh Mohammadzadeh ◽  
Ahmadreza Dorosty ◽  
Mohammadreza Eshraghian
Keyword(s):  
High School ◽  
High School Students ◽  
Food Security ◽  
Food Insecurity ◽  
High Energy ◽  
Household Food Security ◽  
School Students ◽  
Household Food ◽  
Food Security Status ◽  
Food Insecure Households

AbstractObjectiveThe present study was designed to determine household food security status and factors associated with food insecurity among high-school students in Esfahan, Iran.DesignCross-sectional surveys.SettingThe present study was conducted in autumn 2008 in Esfahan, Iran. The samples were selected using systematic cluster sampling. Socio-economic questionnaires, food security questionnaires and FFQ were filled out during face-to-face interviews. In addition, data on participants’ weights and heights were collected.SubjectsA total of 580 students (261 boys and 319 girls) aged 14–17 years from forty high schools in Esfahan, Iran, were selected.ResultsThe prevalence of household food insecurity according to the US Department of Agriculture food security questionnaire was 36·6 % (95 % CI 0·33, 0·40). Food insecurity was positively associated with number of members in the household (P < 0·05) and negatively associated with parental education level and job status and household economic status (P < 0·05). Moreover, students living in food-insecure households more frequently consumed bread, macaroni, potato and egg (P < 0·05), while they less frequently consumed rice, red meat, sausage and hamburger, poultry, fish, green vegetables, root and bulb (coloured) vegetables, melons, apples and oranges, milk and yoghurt (P < 0·05).ConclusionsFood insecurity was prevalent among households in Esfahan, Iran, and food security status was associated with socio-economic factors. Students who belonged to food-secure households more frequently consumed healthy foods (except sausage and hamburger), whereas those living in food-insecure households more frequently consumed cheap foods containing high energy per kilogram. The present study suggests that intervention programmes be designed and carried out.

scholarly journals Household Food Insecurity and the Association with Cumulative Biological Risk among Lower-Income Adults: Results from the National Health and Nutrition Examination Surveys 2007–2010

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1517 ◽  
Author(s):  
Cindy W. Leung ◽  
Megan S. Zhou
Keyword(s):  
Food Security ◽  
Health Outcomes ◽  
Food Insecurity ◽  
Risk Score ◽  
Risk Scores ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Biological Risk ◽  
Health And Nutrition ◽  
Household Food

Household food insecurity has been associated with adverse health outcomes; however, the mechanisms underlying these associations are not well-defined. Using data from 5005 adults from the 2007–2010 National Health and Nutrition Examination Surveys (NHANES), we examined associations between household food insecurity and cumulative biological risk, a measure of the body’s physiological response to chronic stress. Household food security was assessed using the 18-item Household Food Security Survey Module. Marginal food security refers to 1–2 positive responses, and food insecurity refers to ≥3 positive responses. The cumulative biological risk scores were calculated based on the distributions of ten biomarkers from the cardiovascular, metabolic, and immune systems. Elevated biological risk was defined as a risk score of ≥3. Multivariable regression models were used to examine associations between food security and cumulative biological risk scores, adjusting for sociodemographic characteristics. After multivariable adjustment, food insecurity was associated with a 0.14-unit higher cumulative biological risk score (95% CI 0.05–0.22, p-trend = 0.003) and higher odds of elevated biological risk (OR 1.20, 95% CI 1.05–1.37, p-trend = 0.003). These associations differed by gender. Among women, food insecurity was associated with 0.30-unit higher cumulative biological risk score (95% CI 0.14–0.45, p-trend = 0.0004) and higher odds of elevated biological risk (OR 1.61, 95% CI 1.29–2.00, p-trend < 0.0001). These associations were not observed in men. Women experiencing food insecurity demonstrated elevated levels of biological risk. These findings support the hypothesis that food insecurity may be associated with women’s chronic health outcomes through the pathway of chronic stress. Further research is needed to understand why these associations were not observed in men.

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