Determinants of the severity of household food insecurity among the slums of Dhaka city, Bangladesh

Bhattacharjee, Poushali; Sassi, Maria

doi:10.1080/19463138.2020.1868475

Cited by 7 publications

(10 citation statements)

References 28 publications

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“…5,25,26 The prevalence and intensity of FI among households living in slum areas is more prevalent as compared with nonslum populations. 11,22 A study conducted by Piaseu and Mitchell 27 among slum residents in Thailand sounded that prevalence of FI among the study population was 55.8%. The people living in slum areas face poor job opportunities, poor sanitation and wastewater infrastructure, improper housing conditions and limited educational, social and health services.…”

Section: Introductionmentioning

confidence: 94%

“…The prevalence and intensity of FI among households living in slum areas is more prevalent as compared with nonslum populations 11,22 . A study conducted by Piaseu and Mitchell 27 among slum residents in Thailand sounded that prevalence of FI among the study population was 55.8%.…”

Section: Introductionmentioning

confidence: 98%

“…It is varied from 20% to 73% in developing countries. [8][9][10][11][12][13][14] The prevalence of FI in Iran has been studied in different studies using different questionnaires. Findings from some recent studies have shown that the prevalence of FI in Iran varied from 20% to 60%.…”

Section: Introductionmentioning

confidence: 99%

“…Previous works have shown that there is great variation in FI among developing countries. It is varied from 20% to 73% in developing countries 8–14 . The prevalence of FI in Iran has been studied in different studies using different questionnaires.…”

Section: Introductionmentioning

confidence: 99%

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Prevalence of food insecurity and related factors among slum households in Kerman, south of Iran

Amiresmaeili

Yazdi‐Feyzabadi

Heidarijamebozorgi

2021

Health Planning & Management

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Introduction: Household food insecurity (FI) is defined as limited or uncertain access to nutritionally adequate and safe food or limited ability to obtain foods in socially acceptable ways has become a global issue in recent decades. Methods: This cross-sectional study was conducted in Kerman, southeast of Iran in 2019, covering 559 marginalised households. United States Department of Agriculture food security measure was used for data collection.Finally, data were analysed using t-test, χ 2 , Mann-Whitney tests and logistic regression. Results:The prevalence of FI was 82% among slums households. The most important experience of FI in households was reliance on low-cost foods. There was a significant relationship between slums FI and gender of head of household, household size, household income, household education level and marital status (p ˂ 0.05). According to the results of the multivariate regression the variables of education, household income level and household size significantly determined FI (p ˂ 0.05). Conclusion:The most important determinant of FI was low socioeconomic status (income, education, household size).Hence, public policies targeting socioeconomic factors should be made to improve the socioeconomic status of slum dwellers.

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Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Prevalence of food insecurity and related factors among slum households in Kerman, south of Iran

Amiresmaeili

Yazdi‐Feyzabadi

Heidarijamebozorgi

2021

Health Planning & Management

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“…Previous studies establish economic resources as an important factor for food security in slums [15,17,[20][21][22][23][24][25], with educational factors also associated with food security [7,16,[20][21][22][23]25] although not in all studies [17]. Single studies suggest that the gender of the household head and the number of adult women in a household affect food insecurity [21,25].…”

Section: Introductionmentioning

confidence: 99%

The prevalence and socio-demographic associations of household food insecurity in seven slum sites across Nigeria, Kenya, Pakistan, and Bangladesh. A cross-sectional study

2022

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Although the proportion of people living in slums is increasing in low- and middle-income countries and food insecurity is considered a severe hazard for health, there is little research on this topic. This study investigated and compared the prevalence and socio-demographic associations of household food insecurity in seven slum settings across Nigeria, Kenya, Pakistan, and Bangladesh. Data were taken from a cross-sectional, household-based, spatially referenced survey conducted between December 2018 and June 2020. Household characteristics and the extent and distribution of food insecurity across sites was established using descriptive statistics. Multivariable logistic regression of data in a pooled model including all slums (adjusting for slum site) and site-specific analyses were conducted. In total, a sample of 6,111 households were included. Forty-one per cent (2,671) of all households reported food insecurity, with varying levels between the different slums (9–69%). Household head working status and national wealth quintiles were consistently found to be associated with household food security in the pooled analysis (OR: 0·82; CI: 0·69–0·98 & OR: 0·65; CI: 0·57–0·75) and in the individual sites. Households which owned agricultural land (OR: 0·80; CI: 0·69–0·94) were less likely to report food insecurity. The association of the household head’s migration status with food insecurity varied considerably between sites. We found a high prevalence of household food insecurity which varied across slum sites and household characteristics. Food security in slum settings needs context-specific interventions and further causal clarification.

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Food Security Status and Associated Drivers Among Climate Migrant Households in Bangladesh: Insight From Urban Informal Settlements

Hoque,

Khan,

Urme

et al. 2024

Food and Energy Security

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Climate migrants and their food accessibility are a pressing issue in Bangladesh that has not been adequately addressed in previous studies. This research aimed to examine the food security status and its associated drivers among climate migrant households' residing in urban informal settlements in Khulna city. This study was conducted in three selected wards (12, 21, and 31) known for their urban informal settlements and high concentrations of climate migrants. Data were collected on socioeconomic, demographic, COVID‐19 impacts, and the Household Food Insecurity Access Scale using an interview schedule. Descriptive (mean, standard deviation, and percentage) and inferential statistics (chi‐square test and binary logit model) were used to analyze the data. The study found a large portion of households to be food insecure (83.3%). Several socio‐demographic and economic issues, including the household head's education, occupation, and health, the number of working members, monthly income, savings, debt, and access to a safety net, were identified as significant drivers of food insecurity. Moreover, COVID‐19 impacts, considering loss of employment, income, and savings, shortages of daily needs, and price hikes on food items, were identified as the significant contributors to food insecurity. Responsible stakeholders may utilize the outcomes of this study to combat food insecurity and hunger among climate migrants residing in urban informal settlements through necessary policy measures.

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Determinants of the severity of household food insecurity among the slums of Dhaka city, Bangladesh

Cited by 7 publications

References 28 publications

Prevalence of food insecurity and related factors among slum households in Kerman, south of Iran

Prevalence of food insecurity and related factors among slum households in Kerman, south of Iran

The prevalence and socio-demographic associations of household food insecurity in seven slum sites across Nigeria, Kenya, Pakistan, and Bangladesh. A cross-sectional study

Food Security Status and Associated Drivers Among Climate Migrant Households in Bangladesh: Insight From Urban Informal Settlements

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