Gaps in food security, food consumption and malnutrition in households residing along the baobab belt in Kenya

2019 ◽  
Vol 49 (6) ◽  
pp. 1099-1112 ◽  
Author(s):  
Dorah Kwamboka Momanyi ◽  
Willis O. Owino ◽  
Anselimo Makokha ◽  
Esther Evang ◽  
Habte Tsige ◽  
...  
Keyword(s):  
Food Security ◽  
Nutritional Status ◽  
Food Insecurity ◽  
Food Consumption ◽  
Dietary Diversity ◽  
Demographic Characteristics ◽  
Consumption Patterns ◽  
Nutrition Status ◽  
Content Type ◽  
Food Security Status

PurposeThis paper aims to describe food insecurity status, food consumption patterns of households and nutritional status of families residing along the baobab belt in Kitui and Kilifi counties of Kenya. It also explores associations between these and household socio-demographic characteristics.Design/methodology/approachA cross-sectional study design was performed with a sample of 216 caregiver/child pairs interviewed. Tablet-based semi-structured questions were used to obtain information on socio-demographic characteristics of children (6-13 years) and caregivers. Food insecurity status was assessed using the household food insecurity experience scale. Information on food consumption was obtained from qualitative 24-h recall as a basis for calculating a household dietary diversity score. Data were also obtained from a non-quantitative food frequency questionnaire. Anthropometric measurements of children and caregivers’ height and weight were taken to assess their nutritional status. Data were analyzed using Statistical Package for Social Science version 24 and WHO AnthroPlus 1.0.4.FindingsThe majority (98.2 per cent) of the households were food insecurity despite 81.5 and 57.4 per cent in Kitui and Kilifi counties, respectively, owning baobab trees. About 32.1 per cent of the households had poor dietary diversity scores (< 4). The prevalence of stunting (28.6 per cent), wasting (11.6 per cent) and underweight (25 per cent) rates among children were high. A significant association was observed between the children stunting rates with their age (p= 0.027), and also with household’s food security status (p< 0.001). Of the caregivers, 14.8 per cent were underweight, 18.1 per cent were overweight and 8.8 per cent were obese. There was significant association between the nutrition status of the caregivers and gender of the children (p< 0.001) and also with stunting rates of children (p= 0.047).Originality/valueThe study provides data on the current food security status and food consumption patterns of households and nutritional status of families residing along the baobab belt in Kenya which are mostly areas of marginal agricultural potential. The findings indicate a need for appropriate dietary improvements.

scholarly journals Prevalence and Socioeconomic inequalities trends in child health comparing within and between group inequalities: Food insecurity and malnutrition in Zimbabwe

2020 ◽  
Author(s):  
Akim Tafadzwa Lukwa ◽  
Aggrey Siya ◽  
Karen Nelwin Zablon ◽  
James Azam ◽  
Olufunke A. Alaba
Keyword(s):  
Food Security ◽  
Child Health ◽  
Food Insecurity ◽  
Socioeconomic Inequality ◽  
Dietary Diversity ◽  
Socioeconomic Inequalities ◽  
Nutrition Status ◽  
Food Security Status ◽  
Concentration Indices ◽  
Geographical Clusters

Abstract BackgroundGlobally nations are advocating for universal health coverage which argues for health access for all however, inequalities in child health remain a threat to this global initiative. Even though malnutrition and food insecurity are now dominating the global development agenda, there are substantial gaps on literature about patterns and trends of socioeconomic inequalities in food insecurity and malnutrition in many developing countries. Globally an estimated 3.1 million children die annually as a result of undernutrition, shockingly sub-Saharan Africa accounts for majority of the most nutritionally insecure and food insecure children in the world. In previous decades’ prevalence of stunting in Zimbabwe has been erratic. This paper assessed socioeconomic inequalities in child health focusing on malnutrition and food insecurity in Zimbabwe.MethodsThe study used Demographic Health Survey (DHS) data sets of 2010\11 and 2015. Food insecurity in children was determined based on the WHO dietary diversity score. The study adopted the WHO dietary diversity score informed by the Infant and Young Child Feeding (IYCF) practices. Minimum dietary diversity as an indicator for food security is defined by a cut- off point of >4, therefore for this study children with less than 3 of the 13 food groups were defined as food insecure. Malnutrition was assessed using weight-for-age Z-scores, with children whose weight-for-age Z-score below minus two standard deviations (-2 SD) from the median considered malnourished. Concentration indices were computed to understand if malnutrition was dominant among the poor or rich. The paper used the Theil index, which is a generalized entropy measure and decomposed the indices by population subgroups (geographical clusters and socioeconomic status) so as to separate total inequality in the distribution between the selected groups and remaining within-group inequalities.ResultsFor the period under review malnutrition prevalence increased by 1.03 percentage points (p.p) [2010/11(3.73%); 2015(4.76%)], while food insecurity prevalence decreased by 4.35p.p [2010/11(78.29%);2015(73.94)]. Prevalence of malnutrition and food insecurity increased by; 9.6p.p and 2p.p among poor children & 10.23p.p and 0.5p.p among rural children. Concentration indices showed that; children from wealthy households were more likely to be food secure (pro-rich) while, children from poor households were more likely to be nutritious (pro-poor). For nutrition status socioeconomic inequality gaps appear to be widening as the concentration indices between the two time periods increased, while for food security status socioeconomic inequality gaps appear to be contracting as the concentration indices between the two time periods reduced. Decomposed Theil indices by geographical clusters (urban & rural) for; food security status shows contracting socioeconomic inequality gaps in both geographical clusters (urban & rural), while for nutrition status the Theil indices reflect widening socioeconomic inequality gaps among urban children and contracting socioeconomic inequality gaps among rural children.ConclusionThe study concluded within-group inequalities to be driving most of the socioeconomic inequalities in nutritional status and food security status of children in Zimbabwe. Therefore, Zimbabwean government should design policies that focus on addressing within-group inequalities and direct food security interventions for food insecure children through availing food aid.

scholarly journals Socioeconomic inequalities trends in child health comparing within and between group inequalities: Food insecurity and malnutrition in Zimbabwe

2020 ◽  
Author(s):  
Akim Tafadzwa Lukwa ◽  
Aggrey Siya ◽  
Karen Nelwin Zablon ◽  
James Azam ◽  
Olufunke A. Alaba
Keyword(s):  
Food Security ◽  
Child Health ◽  
Food Insecurity ◽  
Socioeconomic Inequality ◽  
Dietary Diversity ◽  
Socioeconomic Inequalities ◽  
Nutrition Status ◽  
Z Score ◽  
Food Security Status ◽  
Weight For Age

Abstract Background Food insecurity and malnutrition in children are pervasive public health concerns in Zimbabwe. Several studies previously done, only identified determinants of food insecurity and malnutrition with very little efforts have been done in assessing related inequalities and decomposing the inequalities across household characteristics in Zimbabwe. This study explored socioeconomic inequalities trends in child health using the decomposition approach to compare within and between group inequalities. Methods The study used Demographic Health Survey (DHS) data sets of 2010\11 and 2015. Food insecurity in children was determined based on the WHO dietary diversity score. Minimum dietary diversity was defined by a cut- off point of >4 therefore, in this study children with less than 3 of the 13 food groups were defined as food insecure. Malnutrition was assessed using weight for age Z-score, with children whose weight-for-age Z-score below minus two standard deviations (-2 SD) from the median considered malnourished. Concentration indices were computed to understand if malnutrition was dominant among the poor or rich. The study used the Theil index and decomposed the index by population subgroups (geographical clusters and socioeconomic status). Results Over the study period, malnutrition prevalence increased by 1.03 percentage points (p.p), while food insecurity prevalence decreased by 4.35p.p. Prevalence of malnutrition and food insecurity increased among poor rural children. Theil indices for nutrition status show socioeconomic inequality gaps to have widened, while food security status socioeconomic inequality gaps contracted for the period under review. Conclusion: Within-group inequalities are driving most of the socioeconomic inequalities in nutritional status and food security status among children in Zimbabwe. To address the socioeconomic inequalities, there is need to tackle the four pillars (availability, accessibility, utilization and stability of food supply) of food and nutrition security.

scholarly journals Food Insecurity and Not Dietary Diversity Is a Predictor of Nutrition Status in Children within Semiarid Agro-Ecological Zones in Eastern Kenya

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Zipporah N. Bukania ◽  
Moses Mwangi ◽  
Robert M. Karanja ◽  
Richard Mutisya ◽  
Yeri Kombe ◽  
...  
Keyword(s):  
Food Security ◽  
Nutritional Status ◽  
Food Insecurity ◽  
Dietary Diversity ◽  
Nutrition Status ◽  
Older Children ◽  
Ecological Zones ◽  
Significant Difference ◽  
Agroecological Zones ◽  
Nutritional Status Of Children

Machakos and Makueni counties in Kenya are associated with historical land degradation, climate change, and food insecurity. Both counties lie in lower midland (LM) lower humidity to semiarid (LM4), and semiarid (LM5) agroecological zones (AEZ). We assessed food security, dietary diversity, and nutritional status of children and women.Materials and Methods.A total of 277 woman-child pairs aged 15–46 years and 6–36 months respectively, were recruited from farmer households. Food security and dietary diversity were assessed using standard tools. Weight and height, or length in children, were used for computation of nutritional status.Findings.No significant difference (P>0.05) was observed in food security and dietary diversity score (DDS) between LM4 and LM5. Stunting, wasting, and underweight levels among children in LM4 and LM5 were comparable as were BMI scores among women. However, significant associations (P=0.023) were found between severe food insecurity and nutritional status of children but not of their caregivers. Stunting was significantly higher in older children (>2 years) and among children whose caregivers were older.Conclusion. Differences in AEZ may not affect dietary diversity and nutritional status of farmer households. Consequently use of DDS may lead to underestimation of food insecurity in semiarid settings.

scholarly journals Prevalence and Socioeconomic inequalities trends in child health comparing within and between group inequalities: Food insecurity and malnutrition in Zimbabwe

2020 ◽  
Author(s):  
Akim Tafadzwa Lukwa ◽  
Aggrey Siya ◽  
Karen Nelwin Zablon ◽  
James Azam ◽  
Olufunke A. Alaba
Keyword(s):  
Food Security ◽  
Child Health ◽  
Food Insecurity ◽  
Socioeconomic Inequality ◽  
Dietary Diversity ◽  
Socioeconomic Inequalities ◽  
Nutrition Status ◽  
Poor Households ◽  
Food Security Status ◽  
Concentration Indices

Abstract BackgroundInequalities in child health remain a threat to this global efforts to achieve universal health coverage. We assessed socioeconomic inequalities in child health focusing on malnutrition and food insecurity in Zimbabwe.MethodsWe used Demographic Health Survey (DHS) data sets of 2010\11 and 2015. Food insecurity in children was determined based on the WHO dietary diversity score. Minimum dietary diversity was defined by a cut- off point of >4 therefore, in this study children with less than 3 of the 13 food groups were defined as food insecure. Malnutrition was assessed using weight for age Z-score, with children whose weight-for-age Z-score below minus two standard deviations (-2 SD) from the median considered malnourished. Concentration indices were computed to understand if malnutrition was dominant among the poor or rich. The study used the Theil index and decomposed the index by population subgroups (geographical clusters and socioeconomic status).ResultsOver the study period, malnutrition prevalence increased by 1.03 percentage points (p.p) [2010/11(3.73%); 2015(4.76%)], while food insecurity prevalence decreased by 4.35p.p [2010/11(78.29%);2015(73.94)]. Prevalence of malnutrition and food insecurity increased by; 9.6p.p and 2p.p among poor children & 10.23p.p and 0.5p.p among rural children. Children from wealthy households were more likely to be food secure and children from poor households were more likely to be nutritious. For nutrition status, socioeconomic inequality gaps appeared to be widening as the concentration indices between the two time periods increased, while for food security status socioeconomic inequality gaps appeared to be contracting as the concentration indices between the two time periods reduced. Food security status showed contracting socioeconomic inequality gaps in both geographical clusters (urban & rural), while for nutrition status there were widening socioeconomic inequality gaps among urban children and contracting socioeconomic inequality gaps among rural children.ConclusionWithin-group inequalities are driving most of the socioeconomic inequalities in nutritional status and food security status among children in Zimbabwe. There is need for policies that focus on addressing within-group inequalities and direct food security interventions for food insecure children through availing food aid parcels especially for children from poor households irrespective of where they reside.

Food insecurity among college students in West Texas

2019 ◽  
Vol 121 (3) ◽  
pp. 738-754 ◽  
Author(s):  
Brenda Abu ◽  
Wilna Oldewage-Theron
Keyword(s):  
College Students ◽  
Food Security ◽  
Food Insecurity ◽  
Online Survey ◽  
Dietary Diversity ◽  
Cross Sectional ◽  
Content Type ◽  
Food Security Status ◽  
Meal Planning ◽  
Texas Tech University

Purpose Food insecurity is an evolving nutrition issue affecting both developed and underdeveloped college campuses. The purpose of this paper is to assess food insecurity and related coping strategies among Texas Tech University students. Design/methodology/approach This was a cross-sectional online survey in Lubbock, Texas, among college students (n=173). The outcome measures, socio-demographic factors, household food insecurity access) and dietary diversity were assessed using validated tools. Statistical analyses were performed using SPSS software. Socio-demographic differences in food security status were examined using χ2, and means testing. Risks of student food insecurity were assessed using odds ratios (ORs). Findings Respondents were mostly female (70 percent), non-Hispanic white (58 percent) and young adults’ (median age: 22.0 (20.0, 27.0)), with a median monthly income of $1,000 (0.0, 1,500) and spent about a fifth of their income on food. More students were food insecure (59.5 percent) compared to those who experienced food security (40.5 percent) (p<0.001). Some of the severe food insecure students (16.7 percent) reported going to bed without food (6.9 percent) in the prior 30 days. Students with monthly food budgets of ⩽ $200 were 3.2 times more likely to be food insecure (OR=3.231: CI: 1.353–7.714; p=0.010) compared to those with higher food budgets. A students’ choice of priority monthly expenses was significantly associated with food security status; however, further risk assessment of dichotomous “prioritized food” and “prioritized other expenses” was not statistically significant. Originality/value Student’s food budget of $200 was the strongest determinant of food insecurity. Individual training on money management and meal planning are recommended. University policies should recognize and develop academic support policies addressing competing expenses with food.

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.

scholarly journals The Implications of Food Insecurity at a HBCU (P04-086-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Linda Thompson ◽  
Chimene Castor ◽  
Rajae Gayle ◽  
Allan Johnson
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Fast Food ◽  
Vegetable Consumption ◽  
Demographic Characteristics ◽  
Fruit And Vegetable Consumption ◽  
Black College ◽  
Fruit And Vegetable ◽  
Housing Status ◽  
Food Security Status

Abstract Objectives The objectives of the study were: 1) to determine whether there is food insecurity among matriculating students attending a Historically Black College/University (HBCU), 2) to investigate the associations between food security status and the demographic characteristics (gender, classification, housing status) of students, 3) to examine the relationship of food security status to the consumption of fruits and vegetables (FV), 4) to investigate the association of student food security status with overweight/obesity, and 5) to assess fast food consumption among food insecure students. Methods Five hundred Seventy undergrad and graduate students were recruited to participate in an online survey. The survey was voluntary and anonymous. Data were collected via a 20-item survey using Qualtrics, an online software program that allows its users to create and distribute survey instruments. The main survey questions were derived the Six-item United States Department of Agriculture-Adult Food Security Survey Module (USDA-AFSSM). The survey also included questions which measured: height and weight, daily fruit and vegetable consumption, fast food purchases and potential food pantry utilization. The remaining questions in the survey determined demographic characteristics which included gender, class, meal plan, and housing status. Results Data indicated 77.7% (405) of the sample had experienced some level of food insecurity over the last 12 months, whereas 116 (22.2%) were determined to be food secure. The prevalence of the four categories of food security status is shown in Figure 1. Food insecure students were significantly more likely to purchase fast foods two or more times a week and had significantly lower mean fruit and vegetable intakes than food secure students. Sophomores were least likely to be food secure (11.1%), while graduate/professional students were most likely to be food secure (37.6%). Students living on campus were found to be more likely to be food insecure. Conclusions The present study provides evidence of significant food insecurity. More fast food and decreased fruit and vegetable consumption was found among the food insecure vs food secure. Food security on college campuses bears further investigation. Funding Sources Howard University. Supporting Tables, Images and/or Graphs

scholarly journals Socio-demographic, household food security and nutritional status of older (> 50 Y) women from rural Zambian communities: A descriptive study

2021 ◽  
Vol 21 (105) ◽  
pp. 18912-18931
Author(s):  
U Mukherjee ◽  
◽  
JM Chalwe ◽  
S Mbambara ◽  
WH Oldewage-Theron ◽  
...  
Keyword(s):  
Food Security ◽  
Nutritional Status ◽  
Food Insecurity ◽  
Older Women ◽  
Demographic Characteristics ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Dietary Intakes ◽  
Household Food ◽  
Socio Demographic Factors

Socio-demographic factors and household food insecurity are considered to influence the nutritional status of older women. The rapidly growing elderly population in Africa is a concern particularly in sustaining their health and nutritional status. In spite of this, there is a scarcity of information in older Zambian women and this study aimed to assess the socio-demographic factors, nutritional status and household food insecurity status of older women in rural Zambian communities. This cross-sectional study was conducted in Twatasha compound of Kitwe and Ndeke community of Ndola. The socio-demographic characteristics, anthropometric measurements, dietary intakes and household food security were evaluated in a convenience sample of 153 older women (≥ 50 years) through the Household Food Insecurity Access Scale (HFIAS). IBM SPSS version 26 was used for descriptive (frequencies, means and standard deviations, and medians with interquartile frequencies) and inferential (bivariate and Spearman correlations) statistical analyses. The socio-demographic characteristics showed that almost all (98.7%) of the participants had other members of the family residing with them. Most participants (57%) had attained primary school education, 19% had secondary education and 5% had college education. Almost half (49%) of the participants did not report their employment status and 36% reported to be unemployed. Over-nutrition was most prevalent (37.3% overweight and 39.8% obese) while 20.9 % and 2.0% of the respondents were normal weight and underweight respectively. The median (25th percentile; 75th percentile) dietary intakes showed inadequate intakes for most nutrients, except for carbohydrates (170 g [133;225]). The total fat intake represented 14% of total energy intake. The majority (86.0%) of the participants were identified as severely food insecure while only 6.0% were food secure. The majority of the participants (80-90%) used at least seven out of the nine behavioural responses to food insecurity. The findings show resource-poor and severely food insecure communities. We recommended urgent interventions to improve access to healthy foods (such as home gardening projects) and promote healthy dietary habits (including nutrition education).

scholarly journals Dietary diversity and food security status among heart failure patients in the north of Iran

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Marjan Mahdavi-Roshan ◽  
Azin Vakilpour ◽  
Seyed Mehdi Mousavi ◽  
Asieh Ashouri
Keyword(s):  
Heart Failure ◽  
Food Security ◽  
Food Insecurity ◽  
Dietary Diversity ◽  
Total Cholesterol Level ◽  
Economic Status ◽  
Logistic Regression Models ◽  
Supplement Use ◽  
The North ◽  
Food Security Status

Abstract Background Dietary diversity score (DDS) is an indicator for assessing nutritional adequacy. Food security is another important measure in nutrition field which can be associated with several cardiovascular risk factors. Considering the importance of nutrition in heart failure (HF) patients, this study was designed to evaluate the DDS and food security of patients with HF. Methods A total of 200 HF patients were enrolled. DDS was evaluated using valid and reliable food frequency questionnaire and was calculated by scoring food intakes as 5 main groups. Household food insecurity access scale was applied to assess food security status. Data were analyzed using descriptive statistics, Chi-square and Kruskal-Wallis tests and multiple logistic regression models. Results The mean age of patients was 65 (standard deviation: 12) years and 59% of patients were male. Median of DDS was 1.96 (range: 0.29 to 6.12). Adjusted odds of greater DDS (> = median of 2) was 2.58 times higher for patients without hypertension than for patients with hypertension (95%CI: 1.31–5.08, P = 0.006). Also, odds of greater DDS were more in ex-smokers’ patients when compared to non-smokers (adjusted odds ratio (AOR): 2.70, 95%CI: 1.27–5.75, P = 0.010), patients with supplement use (AOR: 2.42, 95%CI: 1.16–5.05, P = 0.019), patients with lower total cholesterol level (AOR: 1.01, 95%CI: 1.00–1.02, P = 0.051), and patients with higher ejection fraction (AOR: 1.03, 95%CI: 1.00–1.05, with borderline. P = 0.073). About 57% of patients had experienced degrees of food insecurity as mild (26%), moderate (16%) and severe (15%). On the other hand, women (AOR: 1.90, 95%CI: 0.90–3.71, with borderline P = 0.061) and patients with middle (AOR: 3.48, 95%CI: 1.79–6.76, P < 0.001) or high (AOR: 20.32, 95%CI: 2.56–161.19, P = 0.004) socio-economic status were more likely to be food secure or mild insecure. Also, no relation between DDS and food security was found (r = − 0.08, P = 0.262). Conclusion This study found that HF patients had a low DDS and more than half of the patients were food insecure to some extents.

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