Assessing food security using household consumption expenditure surveys (HCES): a scoping literature review

Russell, Joanna; Lechner, Anne; Hanich, Quentin A; Delisle, Aurélie; Campbell, Brooke M; Charlton, Karen E

doi:10.1017/s136898001800068x

Cited by 28 publications

(14 citation statements)

References 40 publications

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“…Although consumption quantity and expenditure data were collected for all 4 periods, food consumption data from only the first visit were publicly released and, as a result, we are unable to examine seasonality in household food consumption. However, several studies 10,13,50 show the usefulness of food consumption data from whole household consumption expenditure surveys like the EMC for food security and nutrition analysis, despite being based on a 7-day recall period and collected at 1 point in time during the agricultural season.…”

Section: Data Sources and Variablesmentioning

confidence: 99%

Analyzing the Drivers of Household Dietary Diversity: Evidence from Burkina Faso

et al. 2021

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Background: The diets of millions of poor individuals lack adequate amount of essential nutrients. Objective: To examine the determinants of household dietary diversity in Burkina Faso and assess whether the choice of a diversity metric matters. Methods: Using survey data from 2014, we construct 3 metrics—Household Dietary Diversity Score (HDDS), Berry Index (BI), and Healthy Food Diversity Index (HFDI). Unlike the oft-used HDDS, the BI captures the quantity distribution of food items while the HFDI captures all 3 aspects of a healthy diet—count, quantity distribution, and health value. We fit linear (for BI and HFDI) and Poisson (for HDDS) models controlling for several socioeconomic and climatic covariates. Results: Some parameter estimates are sensitive to the diversity metric with fewer significant covariates observed in the HFDI model. Overall, diets are more diverse for households in urban areas, with female or better educated heads, with higher asset-based wealth and with more diverse on-farm production, while remoteness reduces dietary diversity. Higher precipitation seems to reduce diversity, potentially driven by the spatial heterogeneity in precipitation and on-farm production diversity. Conclusions: The sensitivity of estimates to the metric used underscores potentially more complex interactions that determine the quantity distribution of food items consumed. Policies that enhance on-farm production diversity, market access, and women’s empowerment may help improve dietary diversity and subsequent nutritional benefits. Efforts should be made to compile health value data that are relevant to developing countries facing nutrition transition.

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Section: Data Sources and Variablesmentioning

confidence: 99%

Analyzing the Drivers of Household Dietary Diversity: Evidence from Burkina Faso

et al. 2021

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“…While other reviews have analyzed applications of HCES data for broader food security indicators (40) , this is the first review to summarize the use of HCES data to estimate nutrient supply and evaluate adequacy, an increasingly common practice accepted by the nutrition community.…”

Section: Discussionmentioning

confidence: 99%

“…Each of these metrics has strengths and limitations when estimating the adequacy of nutrient supply and identifying vulnerable populations at risk of deficiency. While other reviews have analysed applications of HCES data for broader food security indicators (40) , this is the first review to summarise the use of HCES data to estimate nutrient supply and evaluate adequacy, an increasingly common practice accepted by the nutrition community.…”

Section: Discussionmentioning

confidence: 99%

Systematic review of metrics used to characterise dietary nutrient supply from household consumption and expenditure surveys

Tang

Adams

Ferguson

et al. 2022

Public Health Nutr.

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Objective: To review existing publications using Household Consumption & Expenditure Survey (HCES) data to estimate household dietary nutrient supply to (1) describe scope of available literature, (2) identify the metrics reported and parameters used to construct these metrics, (3) summarize comparisons between estimates derived from HCES and individual dietary assessment data, and (4) explore the demographic and socioeconomic sub-groups used to characterize risks of nutrient inadequacy. Design: This study is a systematic review of publications identified from online databases published between 2000 to 2019 that used HCES food consumption data to estimate household dietary nutrient supply. Further publications were identified by “snowballing” the references of included database-identified publications. Setting: Publications using data from low- and lower middle income countries Results: In total, 58 publications were included. Three metrics were reported that characterized household dietary nutrient supply: apparent nutrient intake per adult-male equivalent per day (n=35), apparent nutrient intake per capita per day (n=24), and nutrient density (n=5). Nutrient intakes were generally overestimated using HCES food consumption data, with several studies finding sizeable discrepancies compared to intake estimates based on individual dietary assessment methods. Sub-group analyses predominantly focused on measuring variation in household dietary nutrient supply according to socioeconomic position and geography. Conclusion: HCES data are increasingly being used to assess diets across populations. More research is needed to inform the development of a framework to guide the use of and qualified interpretation of dietary assessments based on these data.

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“…National and international actors should advocate and promote strengthening and expanding nationally representative diet and nutrition surveys ( World Health Organization, 2015 ). Meanwhile, researchers could optimize the use of food consumption data collected through alternative surveys, like Household Consumption and Expenditure Surveys (HCES) ( Russell et al, 2018 ). HCES are conducted every 3–5 years in more than 125 countries, they are statistically representative at national and subnational levels and are much less costly than other dietary data sources ( Fiedler, 2013 ).…”

Section: Introductionmentioning

confidence: 99%

Raw versus cooked food matching: Nutrient intake using the 2015/16 Kenya Integrated Household Budget Survey

Moltedo

Jiménez

Álvarez-Sánchez

et al. 2021

Journal of Food Composition and Analysis

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Assessing food security using household consumption expenditure surveys (HCES): a scoping literature review

Cited by 28 publications

References 40 publications

Analyzing the Drivers of Household Dietary Diversity: Evidence from Burkina Faso

Analyzing the Drivers of Household Dietary Diversity: Evidence from Burkina Faso

Systematic review of metrics used to characterise dietary nutrient supply from household consumption and expenditure surveys

Raw versus cooked food matching: Nutrient intake using the 2015/16 Kenya Integrated Household Budget Survey

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