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Technology-enabled approaches to conducting 24-h dietary recalls (24HR) may reduce dietary assessment bottlenecks in low-resource settings. However, few studies have assessed their performance relative to conventional pen-and-paper interview (PAPI) approaches and none have validated performance against a benchmark (e.g. weighed food record (WFR)) in a low- and middle-income country (LMIC). This study assessed relative accuracy and cost-effectiveness of INDDEX24, a technology-enabled approach to conducting 24HR, compared with a PAPI approach and against an observer WFR. Women aged 18–49 years from northern Viet Nam (n 234) were randomly assigned to be interviewed using INDDEX24 or PAPI 24HR following a WFR. The two one-sided t test approach assessed the equivalence of each recall modality to the benchmark. Difference-in-differences analysis compared the recall-benchmark results across modalities. Cost per percentage point of accuracy for INDDEX24 and PAPI was derived from accuracy results and the cost to conduct the 24HR. The PAPI and INDDEX24 24HR were statistically equivalent to the WFR for all nutrients except vitamin A. INDDEX24 diverged significantly less than PAPI from the WFR for Fe (0·9 v. −1·3 mg) and PAPI diverged less for protein (–3·7 v. 7·9 g). At the individual level, 26 % of PAPI and 32 % of INDDEX24 respondents had energy intakes within +/– 10 % of the WFR. INDDEX24 cost $111 004 and the PAPI cost $120 483 (USD 2019), making INDDEX24 more cost-effective across most indicators. INDDEX24 was an accurate and cost-effective method for assessing dietary intake in the study context and represents a preferred alternative to PAPI 24HR in Viet Nam and other LMIC. [ABSTRACT FROM AUTHOR]

Objective: The present paper aimed to demonstrate how 24 h dietary recall data can be used to generate a nutrition-relevant food list for household consumption and expenditure surveys (HCES) using contribution analysis and stepwise regression.Design: The analysis used data from the 2011/12 Bangladesh Integrated Household Survey (BIHS), which is nationally representative of rural Bangladesh. A total of 325 primary sampling units (PSU=village) were surveyed through a two-stage stratified sampling approach. The household food consumption module used for the analysis consisted of a 24 h open dietary recall in which the female member in charge of preparing and serving food was asked about foods and quantities consumed by the whole household.Setting: Rural Bangladesh.ParticipantsA total of 6500 households.Results: The original 24 h open dietary recall data in the BIHS were comprised of 288 individual foods that were grouped into ninety-four similar food groups. Contribution analysis and stepwise regression were based on nutrients of public health interest in Bangladesh (energy, protein, fat, Fe, Zn, vitamin A). These steps revealed that a list of fifty-nine food items captures approximately 90 % of the total intake and up to 90 % of the between-person variation for the key nutrients based on the diets of the population.Conclusions: The study illustrates how 24 h open dietary recall data can be used to generate a country-specific nutrition-relevant food list that could be integrated into an HCES consumption module to enable more accurate and comprehensive household-level food and nutrient analyses. [ABSTRACT FROM AUTHOR]

Many researchers use data from Household Consumption and Expenditure Surveys (HCES) to estimate individual food and nutrient intake when individual dietary data are not available. They assume that food is allocated within households according to members’ proportional energy requirements relative to an adult male (called an adult male equivalent, or AME). This study sought to validate AME-based estimates of individual consumption of calories, protein, iron, and animal source protein (ASP) across 10 age-sex categories, using data from Bangladesh and Ethiopia containing both household and individual-level consumption data. The study also assessed the accuracy of adjusting for meal partakers and physical activity levels (PAL), and compared energy-weighted AMEs to nutrient-specific AME predictions. Energy AME-based predictions of nutrient intake were generally accurate within ten percentage points of individually reported intakes, but were less accurate for infants 6–23 months and children in Bangladesh than for other demographic groups. AME predictions were more accurate: (1) in Ethiopia than in Bangladesh, (2) for predicting intake of the three nutrients rather than ASP, (3) for estimating nutrient intake rather than adequacy, (4) using energy-weighted AMEs rather than nutrient specific weights, and (5) using moderate PAL for youth and adults rather than high PAL. Adjusting for meal partakers did not consistently improve the AME-based predictions. Energy based AME estimates from household data can produce a useful proxy of average intake for certain population subgroups, however individually measured dietary assessment remains the best approach to identify groups at risk of nutrient inadequacy. [ABSTRACT FROM AUTHOR]

Background. Dietary assessment data are essential for designing, monitoring, and evaluating food fortification and other food-based nutrition programs. Planners and managers must understand the validity, usefulness, and cost tradeoffs of employing alternative dietary assessment methods, but little guidance exists. Objective. To identify and apply criteria to assess the tradeoffs of using alternative dietary methods for meeting fortification programming needs. Methods. Twenty-five semistructured expert interviews were conducted and literature was reviewed for information on the validity, usefulness, and cost of using 24-hour recalls, Food Frequency Questionnaires/ Fortification Rapid Assessment Tool (FFQ/FRAT), Food Balance Sheets (FBS), and Household Consumption and Expenditures Surveys (HCES) for program stage-specific information needs. Criteria were developed and applied to construct relative rankings of the four methods. Results. Needs assessment: HCES offers the greatest suitability at the lowest cost for estimating the risk of inadequate intakes, but relative to 24-hour recall compromises validity. Design: HCES should be used to identify vehicles and to estimate coverage and likely impact due to its low cost and moderate-to-high validity. Baseline assessment: 24-hour recall should be applied using a representative sample. Monitoring: A simple, low-cost FFQ can be used to monitor coverage. Impact evaluation: 24-hour recall should be used to assess changes in nutrient intakes. FBS have low validity relative to other methods for all programmatic purposes. Conclusions. Each dietary assessment method has strengths and weaknesses that vary by context and purpose. Method selection must be driven by the program's data needs, the suitability of the methods for the purpos [ABSTRACT FROM AUTHOR]

This paper hypothesizes that there is a common "core" to the household food insecurity experience that goes beyond insufficient food quantity and that transcends culture. The paper for the first time employs an exploratory approach to identify cross-cultural commonalities of the food insecurity experience as captured in 22 scales and related ethnographies derived from 15 different countries. The constant comparative method was used to code elements of the food insecurity experience expressed in the ethnographies and to regroup them into domains and subdomains. This typology was then applied to ascertain which experiential domains and subdomains were measured (or not) across all 22 studies. Survey data from 11 of the studies were then analyzed to assess similarities in the relative frequency with which culturally diverse households responded to questionnaire items related to these common domains/subdomains. The analysis confirmed that insufficient food quantity, inadequate food quality, and uncertainty and worry about food were a significant part of the food insecurity experience in all sampled cultures; concerns about social unacceptability emerged in all ethnographic accounts. Several subdomains were identified, such as concern over food safety and meal pattern disruption, with potentially important consequences for physical and psychological well-being. The comparative survey data showed that the relative frequency at which populations responded to domain-related questionnaire items was similar across all but a few cultures. Future food insecurity assessments should consider these core domains and subdomains as the starting point for measures that can generate rich information to inform food security policies and programs. [ABSTRACT FROM AUTHOR]

Presents implications of female household headship for food consumption and nutritional status in the Dominican Republic. Expenditure and consumption patterns of female- and male-headed households; Household dietary adequacy; Multivariate results on food expenditure and food and nutrient consumption; Nutritional status of children.

An official goal of the Food Stamp Program (FSP) is to reduce household food insecurity, which the federal government measures using an 18-item survey module. This study combines features of "dose-response" and "participant/non-participant comparison" research designs to examine the impact of total income on individual food security items among 10,175 FSP participants and 144,372 non-participants using data from the 2001-2004 Current Population Surveys (CPS). We calculated the log odds of affirming 8 adult-specific items: worried food would run out, food bought didn't last, couldn't afford balanced meals, an adult cut or skipped meals, ate less, went hungry, lost weight, or did not eat for a whole day. FSP participants had higher odds of affirming each of the 8 items. As total income increased, the odds of affirming each of the 8 food security items decreased for FSP participants and non-participants. In addition, we measured "participant/non-participant difference" for a particular item as the log odds of affirmative response for participants at a particular total income level minus the log odds of affirmative response for non-participants at the same total income level. Across all income levels, the participant/non-participant difference was greatest for the least severe food security items, "worried food would run out" and "food bought didn't last" and smallest for the most severe, "did not eat for a whole day". [ABSTRACT FROM AUTHOR]