Few studies have evaluated the impact of nutritional supplementation among pregnant adolescents. We examined the effects of the Rang Din Nutrition Study (RDNS) interventions on children born to mothers <20 years of age. The RDNS was a cluster-randomized effectiveness trial with four arms: (1) women and children both received small-quantity lipid-based nutrient supplements (LNS-LNS), (2) women received iron and folic acid (IFA) and children received LNS (IFA-LNS), (3) women received IFA and children received micronutrient powder (MNP) (IFA-MNP), and (4) women received IFA and children received no supplements (IFA-Control). We enrolled 4011 women at <20 weeks gestation; 1552 were adolescents. Among adolescents, prenatal LNS reduced newborn stunting by 25% and small head size by 28% and had a marginally significant effect on newborn wasting, compared with IFA. Low birth weight and preterm birth were reduced only among adolescents with lower food security. Effects on subsequent growth status were observed only among female children in the LNS-LNS group: less stunting at 18 months (versus IFA-MNP) and lower prevalence of small head circumference and wasting at 24 months (versus IFA-Control). Initiatives targeting pregnant adolescents in similar settings should consider inclusion of small-quantity LNS, particularly for adolescents living in food-insecure households.

Objective

This study aimed to determine the prevalence of anemia and overweight/obesity and assess the relationships between hematocrit (Hct) and body mass index (BMI), and between fatigue and Hct, among a sample of farmworkers in California.

Methods

We estimated the prevalence of anemia (using Hct), overweight/obesity (BMI ≥25 kg/m 2 ), and self-reported fatigue in 587 farmworkers. Multivariable linear and logistic regression models were used to examine the associations between Hct and BMI, and between fatigue and Hct.

Results

Anemia prevalence was 3.1%, overweight/obesity prevalence was 80.7%, and 78% of workers reported fatigue at work. There was no association between Hct and BMI or between Hct and reported fatigue. Women were more likely than men to have lower Hct and higher BMI.

Conclusions

A majority of farmworkers in this sample were overweight/obese, but anemia was uncommon. Anemia among more vulnerable subgroups of farmworkers should be explored.

Background

To estimate usual intake distributions of dietary components, collection of nonconsecutive repeated 24-h dietary recalls is recommended, but resource limitations sometimes restrict data collection to single-day dietary data per person.

Objectives

We developed a new statistical method, the NCI 1-d method, which uses single-day dietary data and an external within-person to between-person variance ratio to estimate population distributions of usual intake of nearly-daily consumed foods and nutrients.

Methods

We used NHANES 2011-2014 data for men (n = 4938 and n = 4293 for the first and second 24-h recalls) to compare nutrient intake distributions of vitamin A, magnesium, folate, and vitamin E generated by the 1-d method (with use of only the first recall per person) with those from the NCI amount-only method (with use of all days of dietary intake per person). The within-person to between-person variance ratio from the amount-only model was used as the unbiased "external" estimate for the 1-d method. We also examined the effect of mis-specification of variance ratios on usual intake distributions.

Results

The amount-only and 1-d methods estimated statistically equivalent median (25p, 75p): 647 (459, 890) compared with 648 (461, 886) µg retinol activity equivalents/d, 338 (268, 420) compared with 334 (266, 417) mg magnesium/d, 595 (458, 762) compared with 589 (456, 758) µg dietary folate equivalents/d, and 9.7 (7.3, 12.6) compared with 9.6 (7.3, 12.7) mg vitamin E/d. As the external variance ratios increased from 25% to 200% of the unbiased ratios, the prevalence of inadequate intake ranged from 53% to 43% for vitamin A, 57% to 55% for magnesium, 16% to 2% for folate, and 70% to 73% for vitamin E.

Conclusions

The 1-d method is a viable statistical method for estimating usual intakes of nearly-daily consumed dietary components when the variance ratio is unbiased. Results are sensitive to variance ratio selection, so researchers should still collect replicate data where possible.

Small-quantity lipid-based nutrient supplements (SQ-LNSs) were designed to provide multiple micronutrients within a food base that also provides energy, protein, and essential fatty acids, targeted towards preventing malnutrition in vulnerable populations. Previous meta-analyses demonstrated beneficial effects of SQ-LNSs on child growth, anemia, and mortality. To further examine the efficacy and effectiveness of SQ-LNSs, and explore study-level and individual-level effect modifiers, we conducted an individual participant data meta-analysis of 14 randomized controlled trials of SQ-LNSs provided to children 6-24 mo of age (n > 37,000). We examined growth, development, anemia, and micronutrient status outcomes. Children who received SQ-LNSs had a 12-14% lower prevalence of stunting, wasting, and underweight; were 16-19% less likely to score in the lowest decile for language, social-emotional, and motor development; had a 16% lower prevalence of anemia; and had a 64% lower prevalence of iron-deficiency anemia compared with control group children. For most outcomes, beneficial effects of SQ-LNSs were evident regardless of study-level characteristics, including region, stunting burden, malaria prevalence, sanitation, water quality, duration of supplementation, frequency of contact, or average reported compliance with SQ-LNSs. For development, the benefits of SQ-LNSs were greater in populations with higher stunting burden, in households with lower socioeconomic status, and among acutely malnourished children. For hemoglobin and iron status, benefits were greater in populations with higher anemia prevalence and among acutely malnourished children, respectively. Thus, targeting based on potential to benefit may be worthwhile for those outcomes. Overall, co-packaging SQ-LNSs with interventions that reduce constraints on response, such as the prevention and control of prenatal and child infections, improving health care access, and promotion of early child development, may lead to greater impact. Policymakers and program planners should consider including SQ-LNSs in strategies to reduce child mortality, stunting, wasting, anemia, iron deficiency, and delayed development. This study was registered at www.crd.york.ac.uk/PROSPERO as CRD42019146592, CRD42020159971, and CRD42020156663.

Background

Healthy nutrition during the first year of life is critical for optimal growth and development. Limited techniques are available to assess diet quality in infancy, and few have been shown to be predictive of dietary and adiposity outcomes in low-income children.

Objective

The objectives of this study were to construct an Infant Diet Quality Index (IDQI) to assess the diet quality from birth to 12 mo and to determine whether the IDQI exhibits predictive validity by estimating the longitudinal associations of IDQI scores with diet quality and weight status at 2 to 4 y.

Design

Data were analyzed from the longitudinal Women, Infants, and Children Infant and Toddler Feeding Practices Study-2 (unweighted, n = 2858; weighted. N = 392,439) using one 24-h dietary recall and survey responses during infancy. The newly constructed IDQI consists of 16 equally-weighted components: 1) breastfeeding duration; 2) exclusive breastfeeding; age of first introduction of: 3) solids, 4) iron-rich cereals, 5) cow milk, 6) sugar-sweetened beverages, 7) salty/sweet snacks, 8) other drinks/liquids, and 9) textured foods; frequency of consuming 10) fruit or 11) vegetables; frequency of consuming different 12) fruit or 13) vegetables; 14) nonrecommended bottle-feeding practices; 15) use of commercial baby foods; and 16) number of meals and snacks. Regression analysis was used to estimate associations between the total IDQI score (range, 0-1) and Healthy Eating Index-2015 (HEI-2015) scores and body mass index z-scores (BMIz) at 2 to 4 y of age, adjusted for covariates (e.g., child age, sex and race/ethnicity; maternal education level, etc.) RESULTS: The total IDQI score was positively associated with HEI-2015 at the age of 2 y (β = 16.7; 95% CI: 12.6, 20.9; P < 0.001), 3 y (β = 14.5; 95% CI: 8.1, 21.0; P < 0.001), and 4 y (β = 15.4; 95% CI: 8.4, 22.4; P < 0.001); and negatively associated with BMIz at the age of 2 y (β = -1.24; 95% CI: -2.01, -0.47; P = 0.002) and 4 y (β = -0.92; 95% CI: -1.53, -0.30; P = 0.003).

Conclusions

The IDQI has predictive validity for diet quality and weight status in low-income US children.

Culturally determined food restrictions are common among pregnant and postpartum women in Asia. This study aimed to describe perinatal dietary restrictions, factors associated with food avoidances and attainment of minimum dietary diversity (MDD-W) among women in Lao PDR. Mother-child (aged 21 days to <18 months) dyads (n = 682) were enrolled into a cohort study in northern Lao PDR and interviewed at one time point postpartum. During pregnancy and postpartum, 1.6% and 97% of women reported following dietary restrictions, respectively. Cluster analysis identified four distinct postpartum dietary patterns: most restrictive (throughout first 2 months postpartum); least restrictive; 2 weeks highly restrictive and 1 month highly restrictive, followed by 19%, 15%, 5% and 62% of women, respectively. Greater maternal age, gravidity and higher household socioeconomic status were associated with allowing more diverse foods, while women from food insecure households followed more restrictive diets for longer. Women belonging to the Hmong ethnic group followed a highly restrictive diet of white rice and chicken for the first month postpartum. MDD-W was achieved by 10% of women restricting their diet at the time of the interview compared with 17% of women who were consuming their normal diet (p = 0.04). Postpartum dietary restrictions are widespread among women in northern Lao PDR. These highly restrictive diets, low dietary diversity and food insecurity likely contribute to micronutrient deficiencies in women that may have important consequences for their breastfed infants through reduced breastmilk micronutrient content, which requires further exploration. Culturally appropriate strategies to increase micronutrient intakes among women should be considered.

Low gestational weight gain (GWG) is a known predictor of fetal growth restriction in higher income countries, but there is little information on this association in lower income countries. Our objective is to describe the association between GWG and birth outcomes among pregnant women in rural Bangladesh. Pregnant women were identified in a community-based programme and enrolled into the study at an average of 13 weeks' gestation (n = 4,011). Maternal weight and height were measured at enrolment, maternal weight was measured at 36 weeks' gestation, and newborns were measured after birth. Rate of GWG (g/weeks) was calculated, and women were categorized as having adequate or inadequate GWG (Institute of Medicine recommendations). Newborn anthropometric outcomes included weight-for-age z score (WAZ), length-for-age z score (LAZ), head-circumference-for-age z score (HCZ), body mass index (BMI)-for-age z score (BMIZ), low birthweight (LBW < 2,500 g), WAZ < -2, LAZ < -2, HCZ < -2, BMIZ < -2, and small for gestational age (SGA: <10th percentile). Multivariate models were adjusted for confounders. Only 26% of the 2,562 women in these analyses had adequate GWG. Compared with newborns of women with inadequate GWG, infants of women with adequate GWG had a lower risk of adverse anthropometric outcomes (relative risk [95% confidence interval]: LBW = 0.68 [0.59, 0.80], LAZ < -2 = 0.64 [0.51, 0.80], HCZ < -2 = 0.75 [0.60, 0.93], BMIZ < -2 = 0.70 [0.59, 0.83], and SGA = 0.80 [0.73, 0.86]), but there was no significant difference in mean (SE) duration of gestation, 39.7 (0.08) versus 39.7 (0.05) weeks. In this population, GWG rate is a strong predictor of newborn anthropometric outcomes, but not duration of gestation.

Background

High prevalence of food insecurity has been observed among asylum seekers resettled in high-income countries. Economic constraints, lack of knowledge about new foods, difficulties with shopping, challenges with language, as well as problems complying with various religious food rules are associated with the occurrence and severity of food insecurity. However, no data on food security among asylum seekers in Norway currently exist. Thus, the aim of the study was to assess food security among asylum seekers living in Norwegian reception centers.

Methods

Using convenience sampling, we selected eight reception centers in the southeastern part of Norway and included 205 asylum seekers, including 41 families with children < 18 years of age. We measured food security using the 10-item version of the Radimer/Cornell Hunger and Food Insecurity Scale. Food insecure participants were divided into three groups: food insecurity without hunger, food insecurity with hunger, or food insecurity with child hunger. Using logistic regression models, we analyzed the association between food insecurity status and socioeconomic variables.

Results

Seven percent of the participants were categorized as food secure and 93% as food insecure, of whom 11% were food insecure without hunger, 78% were food insecure with hunger, and 4% were food insecure with child hunger. Among the families with children, 20% (8 of 41) experienced child hunger. For the participants experiencing food insecurity with hunger, 44% reported that they were hungry often, and among families with children, 14% reported that despite being aware of the child's hunger, they did not have the resources/money to buy more food. In logistic regression models, men had higher odds of experiencing adult food insecurity with hunger than women, OR (95% CI): 4.08 (2.04, 8.16). A reduction in monthly budget by 100 euros increased the odds of experiencing adult food in-security with hunger by 1.37 times OR (95% CI), 1.37 (1.16, 1.61).

Conclusions

The prevalence of food insecurity among asylum seekers in Norway was high, in contrast to low prevalence of food insecurity in the Norwegian population. Asylum seekers are a particularly vulnerable group and initiatives to ameliorate the opportunities for an adequate diet are of the outmost importance.

Access to and utilisation of antenatal care (ANC) is important for optimising health and nutrition during pregnancy. This study aimed to assess adherence to and factors associated with ANC and antenatal supplement use among Laotian women, and consider culturally appropriate strategies to increase micronutrient intakes. Mother-child (aged 21 d to <18 months) dyads (n 699) enrolled in a hospital-based prospective cohort study with the community comparison group in Luang Prabang province were interviewed about their antenatal history, supplement use, household sociodemographic and dietary practices, including postpartum food avoidances. Ninety percent of women (mean age 24⋅7 ± 6⋅3 years) reported receiving ANC during their pregnancy, with the majority reporting four to seven contacts, while 84⋅6 and 17⋅3 % reported supplement use during pregnancy and lactation, respectively. Adequate ANC contacts (≥8) and supplement use was more likely among women with complete primary education and from higher socioeconomic status households, and less likely among women belonging to ethnic minority populations and those who delivered their child at home. All women continued to consume salt while adhering to postpartum food avoidances; however, 58⋅5 and 38⋅7 % of habitual consumers restricted fish and soy sauces, respectively. Eighty-six percent of women reported they would be willing to take supplements when adhering to postpartum dietary restrictions. Overall, women's reported ANC attendance and antenatal supplement use was suboptimal. Understanding predictors of and barriers to ANC and supplement use may help implement effective public health strategies to improve adherence. Alongside targeted supplementation, salt fortification with micronutrients may be a viable population-wide intervention that needs further evaluation.

Background

The National Cancer Institute (NCI) method has been used widely by researchers to make inferences about usual dietary intake distributions of foods and nutrients based on a limited number of 24-hour dietary recalls (24HRs). Although the NCI method does not provide individual estimates of usual intake, it can be used to address many research questions, including modeling effects of nutrition interventions on population distributions of usual intake. Software for implementing the NCI method and corresponding code examples is publicly available in the form of SAS macros, but little formal guidance exists for conducting advanced analyses.

Objectives

We aim to present advanced techniques for working with NCI macros to conduct both basic and advanced dietary analyses and modeling.

Method

We first present the three basic building blocks of analyses using the NCI method: 1) dataset preparation; 2) application of the MIXTRAN macro to estimate parameters of the usual intake distribution, including effects of covariates, after transformation of 24HRs to approximate normality; and 3) application of the DISTRIB macro to estimate the distribution of usual nutrient intake. Then, we illustrate how researchers can employ these building blocks to answer questions beyond typical descriptive analyses.

Results

Researchers can adapt the building blocks to 1) account for factors such as demographic changes or nutrition interventions such as food fortification, 2) estimate the prevalence of dietary inadequacy via the full probability method, 3) incorporate nutrient intake from sources not always captured by 24HRs, such as dietary supplements and human milk, and 4) carry out multiple subgroup analyses. This paper describes the theoretical basis and operational guidance for these techniques.

Conclusion

With this paper as a detailed resource, researchers can leverage the basic NCI building blocks to investigate a wide range of questions about usual dietary intake distribution.