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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.

Objective: To validate digitally displayed photographic portion-size estimation aids (PSEA) against a weighed meal record and compare findings with an atlas of printed photographic PSEA and actual prepared-food PSEA in a low-income country.Design: Participants served themselves water and five prepared foods, which were weighed separately before the meal and again after the meal to measure any leftovers. Participants returned the following day and completed a meal recall. They estimated the quantities of foods consumed three times using the different PSEA in a randomized order.Setting: Two urban and two rural communities in southern Malawi.Participants: Women (n 300) aged 18-45 years, equally divided by urban/rural residence and years of education (≤4 years and ≥5 years).Results: Responses for digital and printed PSEA were highly correlated (>91 % agreement for all foods, Cohen's κw = 0·78-0·93). Overall, at the individual level, digital and actual-food PSEA had a similar level of agreement with the weighed meal record. At the group level, the proportion of participants who estimated within 20 % of the weighed grams of food consumed ranged by type of food from 30 to 45 % for digital PSEA and 40-56 % for actual-food PSEA. Digital PSEA consistently underestimated grams and nutrients across foods, whereas actual-food PSEA provided a mix of under- and overestimates that balanced each other to produce accurate mean energy and nutrient intake estimates. Results did not differ by urban and rural location or participant education level.Conclusions: Digital PSEA require further testing in low-income settings to improve accuracy of estimations. [ABSTRACT FROM AUTHOR]

This article explores whether social capital—a measure of trust, reciprocity and social networks—is positively associated with household food security, independent of household-level socioeconomic factors. Interviews were conducted in 330 low-income households from Hartford, Connecticut. Social capital was measured using a 7-item Likert scale and was analyzed using household- and community-level scores. Household food security and hunger were measured using the US Household Food Security Module. χ2 tests were used to examine associations between social capital, food security and household demographic characteristics. Logistic regression was used to examine whether household- and community-level social capital decreases the odds of household hunger, and to estimate which household characteristics increase the likelihood of having social capital. Consistent with our hypotheses, social capital, at both the household and community levels, is significantly associated with household food security in these data. Community-level social capital is significantly associated with decreased odds of experiencing hunger (adjusted odds ratio (AOR)=0.47 [95% CI 0.28, 0.81], P<0.01), while controlling for household socioeconomic status. Results show that households with an elderly member are over two and a half times as likely to have high social capital (AOR=2.68 [1.22, 5.87], P<0.01) than are non-elderly households, after controlling for socioeconomic status. Having a household member who participates in a social or civic organization is also significantly associated with having higher levels of social capital. Social capital, particularly in terms of reciprocity among neighbors, contributes to household food security. Households may have similarly limited financial or food resources, but households with higher levels of social capital are less likely to experience hunger. [Copyright &y& Elsevier]

Presents several commentaries related to evidence-based nutrition practice. Insecurity of food in public hospital; Prevalence of obesity; Improvement in the quality of life through weight-loss surgery.

Background There is a variety of specialized nutritious foods available for use in programs targeting undernutrition, but evidence supporting the choice of product is limited. Objectives We compared the cost-effectiveness of 4 specialized nutritious foods to prevent stunting and wasting in children aged 6–23 mo in Burkina Faso. Methods Four geographic regions were randomly assigned to 1 of 4 intervention arms: Corn-Soy Blend Plus (CSB+) programmed with separate fortified vegetable oil (the reference food), Corn-Soy-Whey Blend (CSWB; a new formulation) with oil, SuperCereal Plus (SC+), and ready-to-use supplementary food (RUSF). We compared the effects of each intervention arm on growth (length-for-age z score (LAZ), weight-for-length z score (WLZ), end-line stunting (LAZ < −2), and total monthly measurements of wasting (WLZ < −2). Rations were ∼500 kcal/d, distributed monthly. Children were enrolled in the blanket supplementary feeding program at age ∼6 mo and measured monthly for ∼18 mo. Average costs per child reached were linked with effectiveness to compare the cost-effectiveness of each arm with CSB+ with oil. Results In our sample of 6112 children (CSB+, n  = 1519; CSWB, n  = 1503; SC+, n  = 1564; RUSF, n  = 1526), none of the foods prevented declines in growth. Children in the SC+ and RUSF arms were not significantly different than those in the CSB+ with oil arm. Children in the CSWB with oil arm experienced higher end-line (measurement at age 22.9–23.9 mo) stunting (OR: 2.07; 95% CI: 1.46, 2.94) and more months of wasting (incidence rate ratio: 1.29; 95% CI: 1.09, 1.51). CSB+ with oil was the least-expensive ration in all costing scenarios ($113–131 2018 US dollars/enrolled child) and similar in effectiveness to SC+ and RUSF, and thus the most cost-effective product for the defined purposes. Conclusions CSB+ with oil was the most cost-effective ration in the prevention of wasting and stunting in this trial. This trial was registered at clinicaltrials.gov as NCT02071563. [ABSTRACT FROM AUTHOR]

Background A trial in Burkina Faso compared the cost-effectiveness of 4 specialized nutritious foods (SNFs) used to prevent stunting and wasting in children aged 6–23 mo. Objectives This article explores differences in SNF use that may have influenced effectiveness, specifically in relation to consumption by the recipient child and by any other person (i.e., sharing), other diversion from the recipient child, preparation, storage, and hygiene. Methods Subsamples from a geographically clustered, longitudinal trial with random assignment to Corn Soy Blend Plus with oil (CSB+ w/oil), Corn Soy Whey Blend with oil (CSWB w/oil), Super Cereal Plus (SC+), or ready-to-use supplementary food (RUSF) were selected for in-depth interviews, in-home observations, and focus group discussions. Results Sharing was common in all arms, with the highest reported in SC+ (73%) and highest observed in CSWB w/oil (36%). Some reported giving the ration away (highest in SC+ at 17%) or using it for other purposes (highest in CSWB w/oil at 17%). The recipient child was observed consuming the ration in 49% of households on average (38–60% by arm in CSB+ w/oil and RUSF, respectively). Qualitative reports of bitterness and spoilage emerged in the CSWB w/oil arm. Most observed households (excluding RUSF) did not prepare porridge daily as instructed (35–46% by arm). Household water samples showed either high-risk or unsafe contamination with Escherichia coli (72–78% by arm). Low percentages were observed handwashing (both child and server) before consuming the porridge. Conclusions The SNFs were not prepared or served as intended and diversion from the recipient was common. Storage conditions may have resulted in spoilage of the ration containing whey before reaching recipients. This article provides context about factors that may have influenced the effectiveness of these SNFs. Programming and household use of SNFs are as important as their nutrient composition. This trial was registered at clinicaltrials.gov as NCT02071563. [ABSTRACT FROM AUTHOR]

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]