scholarly journals Nutrient Adequacy at the Household Level and the Cost of Nutritious Diets in Malawi (P10-055-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Kate Schneider ◽  
William Masters
Keyword(s):  
Food Consumption ◽  
Household Survey ◽  
Food Composition ◽  
Household Size ◽  
Household Composition ◽  
Local Market ◽  
Nutrient Requirements ◽  
Adequate Diet ◽  
Household Level ◽  
Nutrient Adequacy

Abstract Objectives Nutrient requirements are defined for individuals, but meals are often shared and food consumption is typically measured at the household level. Prior studies of nutrient adequacy using household data have estimated requirements in terms of adult equivalents. We introduced a nutrient-by-nutrient approach to capture differences in household composition, and used this measure to test whether a household's nutrient adequacy was associated with the market cost of nutritionally adequate diets. Methods We used panel data on food consumption from 1398 rural Malawian households from the Malawi Integrated Household Survey Panel with monthly prices for 53 foods at the nearest market. Both datasets are collected by the National Statistics Office (NSO), matched at the market-month level. We defined household nutrient needs as the highest density of each nutrient (quantity per kilocalorie) required by any household member over 6 months, summed over daily energy requirements for each individual in the household. From local prices and food composition data we calculated a least-cost, nutritionally adequate diet for the mean household, and computed its level at each location. From observed consumption and nutrient needs we calculated household nutrient adequacy ratios (HNARs) and mean adequacy ratios (HMAR), and tested their association with the local market cost of nutrient adequacy (CoNA), controlling for seasonality, volatility of diet cost, and household size. Results In each round of the survey, between 36% and 59% of households reached their nutrient requirements (HMAR = 1). We found no significant association with the level, seasonality or volatility in market costs, but found that greater household size is associated with lower odds of meeting nutrient adequacy. Conclusions Our novel approach recognizes food sharing at the household level, typical in developing countries, thereby advancing the potential to conduct nutrition-related analyses with existing household survey data. Our initial application found no association with market prices suggesting that other factors may be more important predictors of nutrient adequacy. Future analyses will investigate dietary patterns and cost of individual nutrients to further explain the odds of meeting household needs. Funding Sources Bill & Melinda Gates Foundation via the CANDASA project. Supporting Tables, Images and/or Graphs

scholarly journals The Cost of Nutritious Diets for Individuals and Households in Rural Malawi

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 904-904
Author(s):  
Kate Schneider ◽  
Luc Christiaensen ◽  
Patrick Webb ◽  
William Masters
Keyword(s):  
Group Analysis ◽  
Food Prices ◽  
Local Market ◽  
Nutrient Requirements ◽  
Food Groups ◽  
Local Markets ◽  
Adequate Diet ◽  
Household Food ◽  
The Cost ◽  
Shared Meals

Abstract Objectives The affordability of healthy diets is a key concern for policymakers and an active area of research. To the best of our knowledge, ours is the first study to examine the cost of nutritionally adequate diets for all population age and sex subgroups at subnational disaggregation over a 10-year monthly time series as well as to extend the least-cost diet framework from individuals to household units who consume shared meals. Methods We use household survey panel data matched with local food composition data, human nutrient requirements (EARs, ULs and AMDRs), and monthly market food prices. The food price data include a standardized list of 51 items comprising those foods accounting for the vast majority of household food spending, covering all food groups. Household data are from the Integrated Household Panel Survey (IHPS) 3-round panel (2010–2017). Using linear programming, we identify the combination of available foods and quantities that meet the specified nutrient requirements at the lowest total cost. Results Local markets can supply an adequate diet most of the time for some groups but much less often for breastfeeding women and young children, and not at al for children 6–36 months. Where possible, we find that the least-cost individual diet costs 32% of current per capita food spending. For whole households, the local market can meet aggregate nutrient needs 30% of the time. Where possible, it costs 1.8 times household food spending or all total expenditure. Food group analysis reveals households spend more on cereals, meat and roots/tubers, compared to the least-cost adequate diet, but may be under-spending on legumes, milk, fats, and vitamin A-rich fruits. Conclusions Finding a healthy diet in Malawi's local markets is not always possible for all types of individuals or families of varying composition. Children 6–36 months require immediate attention, including increasing access to complete complementary foods. Guiding households to make smart shifts in their food spending could improve diet quality but is insufficient alone given that adequate shared meals are unaffordable for most families. Year-round access to nutritious, affordable diets will require an increase in availability and lower cost of nutrient-dense foods and economic growth to raise incomes. Funding Sources Bill & Melinda Gates Foundation, CANDASA project.

scholarly journals Measuring Household Resilience to Cyclone Disasters in Coastal Bangladesh

Climate ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 97
Author(s):  
Abdullah Al-Maruf ◽  
J. Craig Jenkins ◽  
Amelie Bernzen ◽  
Boris Braun
Keyword(s):  
Methodological Approach ◽  
Coastal Region ◽  
Household Survey ◽  
Storm Surges ◽  
Household Level ◽  
Coastal Bangladesh ◽  
Indicator Approach ◽  
Island Communities ◽  
Assessment And Monitoring ◽  
Social Safety Nets

The main objective of this paper is to measure the level of household resilience to cyclone and storm surges in the coastal area of Bangladesh. We draw on four general disaster frameworks in terms of addressing household-level resilience to cyclones and storm surges. We use a composite indicator approach organized around four components: (1) household infrastructure (HI); (2) household economic capacity (HEC); (3) household self-organization and learning (HSoL), and; (4) social safety nets (SSN). Drawing on a household survey (N = 1188) in nine coastal union parishads in coastal Bangladesh purposively selected as among the most vulnerable places in the world, we use principal components analysis applied to a standardized form of the survey data that identifies key household resilience features. These household index scores can be used for the assessment and monitoring of household capacities, training, and other efforts to improve household cyclone resilience. Our innovative methodological approach allows us to (a) identify patterns and reveal the underlying factors that accurately describe the variation in the data; (b) reduce a large number of variables to a much smaller number of core dimensions of household resilience, and (c) to detect spatial variations in resilience among communities. Aggregated to the community level, our new index reveals significant differences in community cyclone resilience in different areas of the coastal region. In this way, we can show that shoreline and island communities, in particular, have significant deficits in terms of household resilience, which seem to be mutually reinforcing one another and making for lower resilience.

Vulnerability to Natural Disaster and Welfare Effect: A Case Study of Flood Risk in Vietnam’s North Central Region

2021 ◽  
pp. 002190962199349
Author(s):  
Manh-Hung Nguyen ◽  
Dung P Le ◽  
Thang T Vo
Keyword(s):  
Flood Risk ◽  
Sampling Method ◽  
Household Survey ◽  
North Central ◽  
Household Level ◽  
Central Vietnam ◽  
Housing Costs ◽  
Household Vulnerability ◽  
The Impact

This article investigates the impact of flood risk on vulnerability and welfare at the household level in Vietnam. The analytical sample is taken from a household survey conducted in a north central Vietnam community through a three-stage stratified random sampling method. The propensity score matching approach is employed to compare various welfare indicators between flooded and non-flooded households. This study finds that flooding results in significant income losses and imposes higher costs of living, especially housing costs. The two types of households are vulnerable, implying that other natural disasters or socio-economic disadvantages may have adverse effects on households’ livelihoods. The insignificant effect of floods on vulnerability indicates that the flooded households can cope with floods to some extent. However, contrary to family support, formal coping strategies are insufficient or ineffective at reducing household vulnerability to floods.

scholarly journals How well do different dietary and nutrition assessment tools match? Insights from rural Kenya

2018 ◽  
Vol 22 (3) ◽  
pp. 391-403 ◽  
Author(s):  
Andrea Fongar ◽  
Theda Gödecke ◽  
Antony Aseta ◽  
Matin Qaim
Keyword(s):  
Food Consumption ◽  
Food Access ◽  
Dietary Diversity ◽  
Assessment Tools ◽  
Dietary Quality ◽  
Anthropometric Measures ◽  
Household Level ◽  
Individual Level ◽  
Rural Kenya

AbstractObjectiveVarious indicators and assessment tools exist to measure diets and nutrition. Most studies eventually rely on one approach. Relatively little is known about how closely results match when different tools are used in the same context. The present study compares and correlates different indicators for the same households and individuals to better understand which indicators can be used as proxies for others.DesignA survey of households and individuals was carried out in Kenya in 2015. Seven-day food consumption and 24 h dietary recalls were administered at household and individual level, respectively. Individual height and weight measures were taken. Different indicators of food access (energy consumption, household dietary diversity scores), dietary quality (individual dietary diversity scores, micronutrient intakes) and nutrition (anthropometric indicators) were calculated and correlated to evaluate associations.SettingRural farm households in western Kenya.ParticipantsData collected from 809 households and 1556 individuals living in these households (782 female adults, 479 male adults, 295 children aged 6–59 months).ResultsAll measures of food access and dietary quality were positively correlated at individual level. Household-level and individual-level dietary indicators were also positively correlated. Correlations between dietary indicators and anthropometric measures were small and mostly statistically insignificant.ConclusionsDietary indicators from 7d food consumption recalls at the household level can be used as proxies of individual dietary quality of children and male and female adults. Individual dietary diversity scores are good proxies of micronutrient intakes. However, neither household-level nor individual-level dietary indicators are good proxies of individual nutritional status in this setting.

scholarly journals Adaptive Capacity to Extreme Heat: Results from a Household Survey in Houston, Texas

2017 ◽  
Vol 9 (4) ◽  
pp. 787-799 ◽  
Author(s):  
Mary H. Hayden ◽  
Olga V. Wilhelmi ◽  
Deborah Banerjee ◽  
Tamara Greasby ◽  
Jamie L. Cavanaugh ◽  
...  
Keyword(s):  
Adaptive Capacity ◽  
Air Conditioning ◽  
Household Survey ◽  
The United States ◽  
Extreme Heat ◽  
Community Based ◽  
Household Level ◽  
Population Vulnerability ◽  
Heat Risk ◽  
Related Mortality

Abstract Extreme heat is the leading cause of weather-related mortality in the United States, suggesting the necessity for better understanding population vulnerability to extreme heat. The work presented here is part of a larger study examining vulnerability to extreme heat in current and future climates [System for Integrated Modeling of Metropolitan Extreme Heat Risk (SIMMER)] and was undertaken to assess Houston, Texas, residents’ adaptive capacity to extreme heat. A comprehensive, semistructured survey was conducted by telephone at 901 households in Houston in 2011. Frequency and logistic regression analyses were conducted. Results show that 20% of the survey respondents reported heat-related symptoms in the summer of 2011 despite widespread air conditioning availability throughout Houston. Of those reporting heat-related symptoms experienced in the home (n = 56), the majority could not afford to use air conditioning because of the high cost of electricity. This research highlights the efficacy of community-based surveys to better understand adaptive capacity at the household level; this survey contextualizes population vulnerability and identifies more targeted intervention strategies and adaptation actions.

scholarly journals Identification of Requirements for Computer-Supported Matching of Food Consumption Data with Food Composition Data

Nutrients ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 433 ◽  
Author(s):  
Barbara Koroušić Seljak ◽  
Peter Korošec ◽  
Tome Eftimov ◽  
Marga Ocke ◽  
Jan van der Laan ◽  
...  
Keyword(s):  
Food Consumption ◽  
Food Composition ◽  
Composition Data ◽  
Consumption Data ◽  
Food Consumption Data ◽  
Food Composition Data

scholarly journals The relationship between household income and educational level. (south Darfur rural areas-Sudan) statistical study

2016 ◽  
Vol 4 (1) ◽  
pp. 27 ◽  
Author(s):  
Sofian A. A. Saadv ◽  
Amin Adam
Keyword(s):  
Rural Areas ◽  
Household Survey ◽  
Level Of Education ◽  
Household Level ◽  
Income Sources ◽  
Dependent Variables ◽  
Independent Variable ◽  
High Level ◽  
Education Groups ◽  
The Relationship

<p>The main aim of this paper is to find out the relationship between the household level of income and the level of education for the household being lived in southern Darfur state (Sudan) since they were seriously affected by the war conflict and lost most of their income sources. One-way Analyses of Variance (ANOVA) have been used to asses this relation where the independent variable and dependent variables are categorical and continuous respectively. Data gathered from Household survey (HHS) is analyzed. The results indicate the existence of relationship between certain education groups and the level of income, mainly high level of education comparing with the low level.</p>

scholarly journals Household and area-level social determinants of multimorbidity: a systematic review

2020 ◽  
pp. jech-2020-214691 ◽  
Author(s):  
Elizabeth Ingram ◽  
Sarah Ledden ◽  
Sarah Beardon ◽  
Manuel Gomes ◽  
Sue Hogarth ◽  
...  
Keyword(s):  
Systematic Review ◽  
North America ◽  
General Population ◽  
Social Determinants ◽  
Household Income ◽  
Web Of Science ◽  
Household Composition ◽  
Living Alone ◽  
Study Quality ◽  
Household Level

BackgroundNo clear synthesis of evidence examining household and area-level social determinants of multimorbidity exists. This study aimed to systematically review the existing literature on associations between household and area-level social determinants of health (SDoH) and multimorbidity prevalence or incidence in the general population.MethodsSix databases (MedLine, EMBASE, PsychINFO, Web of Science, CINAHL Plus and Scopus) were searched. The search was limited to peer-reviewed studies conducted in high-income countries and published in English between 2010 and 2019. A second reviewer screened all titles with abstracts and a subset of full texts. Study quality was assessed and protocol pre-registered (CRD42019135281).Results41 studies spanning North America, Europe and Australasia were included. Household income and area-level deprivation were the most explored with fairly consistent findings. The odds of multimorbidity were up to 4.4 times higher for participants with the lowest level of income compared with the highest level. Those living in the most deprived areas had the highest prevalence or incidence of multimorbidity (pooled OR 1.42, 95% CI 1.41 to 1.42). Associations between deprivation and multimorbidity differed by age and multimorbidity type. Findings from the few studies investigating household tenure, household composition and area-level rurality were mixed and contradictory; homeownership and rurality were associated with increased and decreased multimorbidity, while living alone was found to be associated with a higher risk of multimorbidity and not associated.ConclusionImproving our understanding of broader social determinants of multimorbidity—particularly at the household level—could help inform strategies to tackle multimorbidity.

scholarly journals Impacts of Household Composition on Convenience and Nonconvenience Food Expenditures in the South

1983 ◽  
Vol 15 (2) ◽  
pp. 111-118 ◽  
Author(s):  
Oral Capps ◽  
John R. Tedford ◽  
Joseph Havlicek
Keyword(s):  
Household Size ◽  
Household Composition ◽  
Sex Characteristics ◽  
Consumer Expenditure ◽  
The South ◽  
Food Expenditures

The importance of the role played by household size and the age-sex characteristics of household membership in consumer expenditure and demand studies has been discussed by Barton, Blokland, Buse and Salathe, McClements (1977), Muellbauer (1974, 1980), Prais and Houthakker, and Price.

Household Composition and the Well–Being of Rural Serbia in the Second Half of the Nineteenth Century

2011 ◽  
Vol 37 (1) ◽  
pp. 55-67
Author(s):  
Branislav Djurdjev ◽  
Tamara Lukic ◽  
Milan Cvetanovic
Keyword(s):  
Well Being ◽  
Household Size ◽  
Household Composition ◽  
Household Structure ◽  
Population Census ◽  
Monthly Income ◽  
Security Strategy ◽  
Income Per Capita ◽  
Old Age Security ◽  
Per Capita

This article uses the population census of 1863 in order to compare relations between household size and household structure (according to Cambridge group typology), on one side, and the amount of household property per capita and household monthly income per capita, on the other. In terms of household size, a clear bimodal curve is visible in case of both: a steady decline to household size of five to seven members and undisturbed increase after that level up to eleven members. In terms of household structure, the amount of household property per capita generally declines from smaller to larger household structure, but the household monthly income per capita is similar among household classes. The old-age security strategy of peasants is the main driving force behind the paradox that majority of households are located within the poorest composition. Throughout his or her lifetime, an individual passes through several classes, and with the passage of time his or her well-being changes.

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