Inflammation and infections such as malaria affect micronutrient biomarker concentrations and hence estimates of nutritional status. It is unknown whether correction for C-reactive protein (CRP) and α1-acid glycoprotein (AGP) fully captures the modification in ferritin concentrations during a malaria infection, or whether environmental and sociodemographic factors modify this association. Cross-sectional data from eight surveys in children aged 6-59 months (Cameroon, Cote d'Ivoire, Kenya, Liberia, Malawi, Nigeria and Zambia; n 6653) from the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anaemia (BRINDA) project were pooled. Ferritin was adjusted using the BRINDA adjustment method, with values < 12 μg/l indicating iron deficiency. The association between current or recent malaria infection, detected by microscopy or rapid test kit, and inflammation-adjusted ferritin was estimated using pooled multivariable linear regression. Age, sex, malaria endemicity profile (defined by the Plasmodium falciparum infection prevalence) and malaria diagnostic methods were examined as effect modifiers. Unweighted pooled malaria prevalence was 26·0 % (95 % CI 25·0, 27·1) and unweighted pooled iron deficiency was 41·9 % (95 % CI 40·7, 43·1). Current or recent malaria infection was associated with a 44 % (95 % CI 39·0, 52·0; P < 0·001) increase in inflammation-adjusted ferritin after adjusting for age and study identifier. In children, ferritin increased less with malaria infection as age and malaria endemicity increased. Adjustment for malaria increased the prevalence of iron deficiency, but the effect was small. Additional information would help elucidate the underlying mechanisms of the role of endemicity and age in the association between malaria and ferritin.
Retinol-binding protein (RBP), retinol, and modified-relative-dose response (MRDR) are used to assess vitamin A status. We describe vitamin A status in Ugandan children and women using dried blood spot (DBS) RBP, serum RBP, plasma retinol, and MRDR and compare DBS-RBP, serum RBP, and plasma retinol. Blood was collected from 39 children aged 12-23 months and 28 non-pregnant mothers aged 15-49 years as a subsample from a survey in Amuria district, Uganda, in 2016. DBS RBP was assessed using a commercial enzyme immunoassay kit, serum RBP using an in-house sandwich enzyme-linked immunosorbent assay, and plasma retinol/MRDR test using high-performance liquid chromatography. We examined (a) median concentration or value (Q1, Q3); (b) R-2 between DBS-RBP, serum RBP, and plasma retinol; and (c) Bland-Altman plots. Median (Q1, Q3) for children and mothers, respectively, were as follows: DBS-RBP 1.15 mu mol/L (0.97, 1.42) and 1.73 (1.52, 1.96), serum RBP 0.95 mu mol/L (0.78, 1.18) and 1.47 mu mol/L (1.30, 1.79), plasma retinol 0.82 mu mol/L (0.67, 0.99) and 1.33 mu mol/L (1.22, 1.58), and MRDR 0.025 (0.014, 0.042) and 0.014 (0.009, 0.019). DBS RBP-serum RBP R-2 was 0.09 for both children and mothers. The mean biases were -0.19 mu mol/L (95% limits of agreement [LOA] 0.62, -0.99) for children and -0.01 mu mol/L (95% LOA -1.11, -1.31) for mothers. DBS RBP-plasma retinol R-2 was 0.11 for children and 0.13 for mothers. Mean biases were 0.33 mu mol/L (95% LOA -0.37, 1.03) for children, and 0.29 mu mol/L (95% LOA -0.69, 1.27) for mothers. Serum RBP-plasma retinol R-2 was 0.75 for children and 0.55 for mothers, with mean biases of 0.13 mu mol/L (95% LOA -0.23, 0.49) for children and 0.18 mu mol/L (95% LOA -0.61, 0.96) for mothers. Results varied by indicator and matrix. The serum RBP-retinol R-2 for children was moderate (0.75), but poor for other comparisons. Understanding the relationships among vitamin A indicators across contexts and population groups is needed.
BackgroundThere is little evidence of the impact of integrated programs distributing nutrition supplements with behavior change on infant and young child feeding (IYCF) practices.ObjectiveWe evaluated the impact of an integrated IYCF/micronutrient powder intervention on IYCF practices among caregivers of children aged 12-23 mo in eastern Uganda.MethodsWe used pre-post data from 2 population-based, cross-sectional surveys representative of children aged 12-23 mo in Amuria (intervention) and Soroti (nonintervention) districts (n = 2816). Caregivers were interviewed in June/July at baseline in 2015 and 12 mo after implementation in 2016. We used generalized linear mixed models with cluster as a random effect to calculate the average intervention effect on receiving IYCF counseling, ever breastfed, current breastfeeding, bottle feeding, introducing complementary feeding at age 6 mo, continued breastfeeding at ages 1 and 2 y, minimum meal frequency (MMF), minimum dietary diversity, minimum acceptable diet (MAD), and consumption of food groups the day preceding the survey.ResultsControlling for child age and sex, household wealth and food security, and caregiver schooling, the intervention was positively associated with having received IYCF counseling by village health team [adjusted prevalence difference-in-difference (APDiD): +51.6%; 95% CI: 44.0%, 59.2%]; timely introduction of complementary feeding (APDiD: +21.7%; 95% CI: 13.4%, 30.1%); having consumed organs or meats (APDiD: +9.0%; 95% CI: 1.4%, 16.6%) or vitamin A-rich fruits or vegetables (APDiD: +17.5%; 95% CI: 4.5%, 30.5%); and MMF (APDiD: +18.6%; 95% CI: 11.2%, 25.9%). The intervention was negatively associated with having consumed grains, roots, or tubers (APDiD: -4.4%; 95% CI: -7.0%, -1.7%) and legumes, nuts, or seeds (APDiD: -15.6%; 95% CI: -26.2%, -5.0%). Prevalences of some IYCF practices were low in Amuria at endline including MAD (19.1%; 95% CI :16.3%, 21.9%).ConclusionsThe intervention had a positive impact on several IYCF practices; however, endline prevalence of some indicators suggests a continued need to improve complementary feeding practices.
BACKGROUNDMicronutrient powders (MNP) can reduce iron deficiency and anemia in children.OBJECTIVEWe evaluated the impact of an integrated infant and young child feeding (IYCF)-MNP intervention on anemia and micronutrient status among children aged 12-23 mo in Eastern Uganda. The intervention focused on MNP distribution, IYCF education, and caregiver behavior change.METHODSPopulation-based cross-sectional surveys representative of children aged 12-23 mo in Amuria (intervention) and Soroti (nonintervention) districts were collected in June/July 2015 at baseline (n = 1260) and 12 mo after implementation at endline in 2016 (n = 1490). From pooled capillary blood, we assessed hemoglobin, malaria, ferritin, retinol binding protein (RBP), C-reactive protein, and ɑ1-acid glycoprotein. Ferritin and RBP were regression-adjusted to correct for inflammation. Caregivers reported sociodemographic characteristics and MNP knowledge and practices. Linear regression estimated the difference-in-difference (DiD) effect of MNP on hemoglobin, ferritin, and RBP, and logistic regression estimated DiD effect of MNP on anemia (hemoglobin <11.0 g/dL), iron deficiency (ferritin <12.0 µg/L), iron deficiency anemia (hemoglobin <11.0 g/dL and ferritin <12.0 µg/L), and vitamin A deficiency (VAD; RBP equivalent to <0.70 µmol/L retinol: <0.79 µmol/L at baseline and RBP <0.67 µmol/L at endline).RESULTSIn Amuria, 96% of children had ever consumed MNP versus <1% of children in Soroti. Fifty-four percent of caregivers reported organoleptic changes when MNP were added to foods cooked with soda ash. Adjusting for age, sex, malaria, recent morbidity, and household-level factors, the intervention was associated with -0.83 g/dL lower hemoglobin (95% CI, -1.36, -0.30 g/dL; P = 0.003) but not with anemia, ferritin, iron deficiency, iron deficiency anemia, RBP, or VAD.CONCLUSIONSDespite high program fidelity, the intervention was associated with reduced hemoglobin concentrations but not with change in anemia or micronutrient status among children aged 12-23 mo in Eastern Uganda. Contextual factors, such as cooking with soda ash, might explain the lack of effectiveness.
We evaluated predictors of micronutrient powder (MNP) sachet coverage and recent intake using data from a cross-sectional survey representative of children aged 12-23 months in Amuria district, Uganda. In June/July 2016, caregivers were interviewed 12 months after implementation of an integrated MNP and infant and young child feeding pilot (N = 761). Logistic regression described predictors of (a) high-MNP sachet coverage (received at least 60 sachets/6 months) and (b) recent intake (consumed MNP during the 2 weeks preceding the survey) among children who had ever received MNP and had complete data (N = 683). Fifty-nine percent (95% Confidence Interval [CI] [53.8, 64.2]) of children had high-MNP sachet coverage, and 65.4% (95% CI [61.0, 69.9]) had recent intake. MNP ration cards (Adjusted Odds Ratio [AOR] 2.67, 95% CI [1.15, 6.23]), organoleptic changes to foods cooked with soda ash (AOR 1.52, 95% CI [1.08, 2.14]), having heard of anaemia (AOR 1.59, 95% CI [1.11, 2.26]), knowledge of correct MNP preparation (AOR 1.89, 95% CI [1.11, 3.19]), and current breastfeeding (AOR 2.04, 95% CI [1.36, 3.08]) were positively associated with MNP coverage whereas older child age (18-23 vs. 12-17 months) was inversely associated with coverage (AOR 0.32, 95% CI [0.23, 0.50]). MNP ration cards (AOR 2.86, 95% CI [1.34, 6.09]), having heard an MNP radio jingle (AOR 1.40, 95% CI [1.01, 1.94]), knowledge of correct MNP preparation (AOR 1.88, 95% CI [1.04, 3.39]), and the child not disliking MNP (AOR 1.90, 95% CI [1.13, 3.22]) were positively associated with recent intake. Interventions that increase caregiver knowledge and skills and focus on older children could improve MNP coverage and recent intake.
Funding or in kind technical support provided by the Ministry of Health Uganda, World Food Programme, and the U.S. Centers for Disease Control and Prevention (CDC).
Objective: Analyze the content of documents used to guide mandatory fortification programs for cereal grains. Methods: Legislation, standards, and monitoring documents, which are used to mandate, provide specifications for, and confirm fortification, respectively, were collected from countries with mandatory wheat flour (n=80), maize flour (n=11), and/or rice (n=6) fortification as of January 31, 2015, yielding 97 possible country-grain combinations (e.g., Philippines-wheat flour, Philippines-rice) for the analysis. After excluding countries with limited or no documentation, 72 reviews were completed, representing 84 country-grain combinations. Based on best practices, a criteria checklist was created with 44 items that should be included in fortification documents. Two reviewers independently scored each available document set for a given country and food vehicle (a country-grain combination) using the checklist, and then reached consensus on the scoring. We calculated the percentage of country-grain combinations containing each checklist item and examined differences in scores by grain, region, and income level. Results: Of the 72 country-grain combinations, the majority of documentation came from countries in the Americas (46%) and Africa (32%), and most were from upper and lower middle-income countries (73%). The majority of country-grain combinations had documentation stating the food vehicle(s) to be fortified (97%) and the micronutrients (e.g., iron) (100%), fortificants (e.g., ferrous fumarate) (88%), and fortification levels required (96%). Most (78%) stated that labeling is required to indicate a product is fortified. Many country-grain combinations described systems for external (64%) monitoring, and stated that industry is required to follow quality assurance/quality control (64%), though detailed protocols (33%) and roles and responsibilities (45%) were frequently not described. Conclusions: Most country-grain combinations have systems in place for internal, external, and import monitoring. However, documentation of other important items that would influence product compliance to national standard, such as roles and responsibilities between agencies, the cost of regulating fortification, and enforcement strategies, are often lacking. Countries with existing mandatory fortification can improve upon these items in revisions to their documentation while countries that are beginning fortification can use the checklist to assist in developing new policies and programs.
This chapter provides an overview of monitoring and evaluation issues related to food fortification. It presents the foundational 2006 WHO/FAO monitoring and evaluation background for food fortification and briefly describes the principal components of regulatory and household/individual monitoring and evaluation (M&E). Additionally, these components are integrated within a systematic six step framework for M&E of food fortification programs. Ideally, the information generated by an M&E system should be regularly reviewed by a national multisector coalition of key stakeholders commonly known as a Food Fortification Alliance. M&E program performance is critical for determining whether foods are being fortified according to country standards and for estimating dietary and nutritional impact. Ultimately, a strong fortification M&E system is one that includes information from all M&E components and provides this information to decision makers so they can make adjustments to improve food fortification program effectiveness.
BACKGROUND:Although the use of micronutrient powders (MNPs) is considered the preferred approach for childhood anemia control, concerns about iron-related morbidity from clinical trials have challenged programmatic scale-up. OBJECTIVE:We aimed to measure the effects of community-based sales of MNPs on diarrhea-, fever-, cough-, and malaria-morbidity episodes in children 6-35 mo of age. DESIGN:We conducted a cluster-randomized trial in rural Western Kenya where 60 villages were randomly assigned to either intervention or control groups. MNPs (containing iron, vitamin A, zinc, and 11 other micronutrients) and other health products (e.g., insecticide-treated bednets, soap, and water disinfectant) were marketed in 30 intervention villages from June 2007 to March 2008. Household visits every 2 wk were used to monitor self-reported MNP use and morbidity (illness episodes in the previous 24 h and hospitalizations in the previous 2 wk) in both groups. Iron, vitamin A, anemia, malaria, and anthropometric measures were assessed at baseline and at 12 mo of follow-up. Data were analyzed by intent-to-treat analyses. RESULTS:Of 1062 children enrolled in the study, 1038 children (97.7%) were followed (a total of 14,204 surveillance visits). Mean MNP intake in intervention villages was 0.9 sachets/wk. Children in intervention villages, compared with children in control villages, had ~60% fewer hospitalizations for diarrhea (0.9% compared with 2.4%, respectively; P = 0.03) and 70% fewer hospitalizations for fever (1.8% compared with 5.3%, respectively; P = 0.003) but no significant differences in hospitalizations for respiratory illness (1.1% compared with 2.2%, respectively; P = 0.11) or malaria (3.1% compared with 2.9%, respectively; P = 0.82). There were no differences between groups in the numbers of episodes of diarrhea, cough, or fever. CONCLUSIONS:MNP use in Western Kenya through market-based community sales was not associated with increased infectious morbidity in young children and was associated with decreased hospitalizations for diarrhea and fever. An integrated distribution of MNPs with other health interventions should be explored further in settings with a high child malnutrition and infection burden. This trial was registered at clinicaltrials.gov as NCT01088958.
Soil-transmitted helminths (STHs) are controlled by regular mass drug administration. Current practice targets school-age children (SAC) preferentially over pre-school age children (PSAC) and treats large areas as having uniform prevalence. We assessed infection prevalence in SAC and PSAC and spatial infection heterogeneity, using a cross-sectional study in two slum villages in Kibera, Nairobi. Nairobi has low reported STH prevalence. The SAC and PSAC were randomly selected from the International Emerging Infections Program's surveillance platform. Data included residence location and three stools tested by Kato-Katz for STHs. Prevalences among 692 analyzable children were any STH: PSAC 40.5%, SAC 40.7%; Ascaris: PSAC 24.1%, SAC 22.7%; Trichuris: PSAC 24.0%, SAC 28.8%; hookworm < 0.1%. The STH infection prevalence ranged from 22% to 71% between sub-village sectors. The PSAC have similar STH prevalences to SAC and should receive deworming. Small areas can contain heterogeneous prevalences; determinants of STH infection should be characterized and slums should be assessed separately in STH mapping.
To evaluate the impact of soil‐transmitted helminth (STH) infection on nutritional status, we conducted a survey of 206 preschool (PSC) and 499 school‐aged children (SAC) randomly selected from CDC's population surveillance platform in the Kibera slum, Nairobi, Kenya. Hemoglobin, ferritin, inflammatory markers, retinol binding protein and malaria were measured from capillary blood; anthropometry and analysis of 3 stools for STH ova were performed. Approximately 40% of children had STH infection (39.9% PSC, 39.7% SAC), primarily Ascaris and Trichuris spp. Only 2.9% PSC and 1.0% SAC had heavy infection. Indicators of malnutrition among PSC and SAC were as follows: anemia 37.4% and 14.4%, iron deficiency (ID) 19.3% and 4.4%, vitamin A deficiency (VAD) 15.1% and 5.9%, and stunting 28.8% and 16.5%. Among PSC, STH was associated with VAD but not anemia, ID, stunting or inflammation. PSC with Trichuris infection were more likely to have ID than those without Trichuris (p=.04). The association between any STH and VAD remained significant in multivariate analysis, adjusting for age, sex, inflammation, maternal education and income (aOR=2.3, p=0.04). Our results suggest that STH infection is associated primarily with VAD, which may inform deworming and micronutrient supplementation programs.
Although anemia in preschool children is most often attributed to iron deficiency, other nutritional, infectious, and genetic contributors are rarely concurrently measured. In a population-based, cross-sectional survey of 858 children 6–35 months of age in western Kenya, we measured hemoglobin, malaria, inflammation, sickle cell, α-thalassemia, iron deficiency, vitamin A deficiency, anthropometry, and socio-demographic characteristics. Anemia (Hb < 11 g/dL) and severe anemia (Hb < 7 g/dL) prevalence ratios (PRs) for each exposure were determined using multivariable modeling. Anemia (71.8%) and severe anemia (8.4%) were common. Characteristics most strongly associated with anemia were malaria (PR: 1.7; 95% confidence interval [CI] = 1.5–1.9), iron deficiency (1.3; 1.2–1.4), and homozygous α-thalassemia (1.3; 1.1–1.4). Characteristics associated with severe anemia were malaria (10.2; 3.5–29.3), inflammation (6.7; 2.3–19.4), and stunting (1.6; 1.0–2.4). Overall 16.8% of anemia cases were associated with malaria, 8.3% with iron deficiency, and 6.1% with inflammation. Interventions should address malaria, iron deficiency, and non-malarial infections to decrease the burden of anemia in this population.
To evaluate the sustainability of market-based community distribution of micronutrient powders (Sprinkles(®), Hexagon Nutrition, Mumbai, India.) among pre-school children in Kenya, we conducted in August 2010 a follow-up survey, 18 months after study-related marketing and household monitoring ended. We surveyed 849 children aged 6-35 months randomly selected from 60 study villages. Nutritional biomarkers were measured by fingerstick; demographic characteristics, Sprinkles purchases and use were assessed through household questionnaires. We compared Sprinkles use, marketing efforts and biomarker levels with the data from surveys conducted in March 2007, March 2008 and March 2009. We used logistic regression to evaluate associations between marketing activities and Sprinkles use in the 2010 survey. At the 2010 follow-up, 21.9% of children used Sprinkles in the previous 7 days, compared with 64.9% in 2008 (P < 0.001). Average intake was 3.2 sachets week(-1) in 2008, 1.6 sachets week(-1) in 2009 and 1.1 sachets week(-1) in 2010 (P < 0.001). Factors associated with recent Sprinkles use in 2010 included young age [6-23 months vs. 24-35 months, adjusted odds ratio (aOR) = 1.5, P = 0.02], lowest 2 quintiles of socio-economic status (aOR = 1.7, P = 0.004), household attendance at trainings or launches (aOR = 2.8, P < 0.001) and ever receiving promotional items including free Sprinkles, calendars, cups and t-shirts (aOR = 1.7, P = 0.04). In 2010, there was increased prevalence of anaemia and malaria (P < 0.001), but not iron deficiency (P = 0.44), compared with that in 2008. Sprinkles use in 2010 was associated with decreased iron deficiency (P = 0.03). Sprinkles coverage reduced after stopping household monitoring and reducing marketing activities. Continued promotion and monitoring of Sprinkles usage may be important components to sustain the programme.
To determine if inherited blood disorders are independent predictors of iron biomarkers, we conducted a population‐based, cross‐sectional survey of 854 children aged 6–35 months in western Kenya. Participants were tested for sickle cell, alphathalassemia and G6PD deficiency. Ferritin, transferrin receptor (TfR), and zinc protoporphyrin (ZP) were measured.Inherited blood disorders were common; 19% had sickle cell, 48% had abnormal alpha‐thalassemia genotype, and 7% had G6PD deficiency. Mean unadjusted TfR was highest among children with HbSS genotype compared to HbAS and HbAA (ANOVA p<0.0001), and mean unadjusted ZP was higher among boys with normal genotype compared to those with G6PD deficiency (p=0.02). In multivariate analysis adjusting for sociodemographics, G6PD deficiency was an independent predictor of ZP among boys (beta‐coefficient = −0.17, p=0.04). There was interaction between sickle cell and malaria (p=0.01); malaria was a predictor of ZP among children without sickle cell, but not a predictor of ZP among those with sickle cell.In areas with high burden of inherited blood disorders, genotypic differences may independently affect iron biomarkers, particularly TfR and ZP.Grant Funding Source: Centers for Disease Control and Prevention and Wellcome Trust
While social marketing can increase uptake of health products in developing countries, providing equitable access is challenging. We conducted a 2-year evaluation of uptake of WaterGuard, insecticide-treated bednets (ITNs), and micronutrient Sprinkles in Western Kenya. Sixty villages were randomly assigned to intervention and comparison groups. Following a baseline survey (BL), a multifaceted intervention comprising social marketing of these products, home visits by product vendors from a local women’s group (Safe Water and AIDS Project, or SWAP), product promotions, and modeling of water treatment and safe storage in was implemented in intervention villages. Comparison villages received only social marketing of WaterGuard and ITNs. We surveyed again at one year (FU1), implemented the intervention in comparison villages, and surveyed again at two years (FU2). At BL, <3% of households had been visited by a SWAP vendor. At FU1, more intervention than comparison households had been visited by a SWAP vendor (39% versus 9%, P<0.0001), and purchased WaterGuard (14% versus 2%, P<0.0001), Sprinkles (36% versus 6%, P<0.0001), or ITNs (3% versus 1%, P<0.04) from that vendor. During FU2, 47% and 41% of original intervention and comparison households, respectively, reported ever receiving a SWAP vendor visit (P=0.16); >90% those reported ever purchasing a product from the vendor. WaterGuard (P=0.02) and ITNs (P=0.005) were purchased less frequently by lower-SES than higher-SES households; Sprinkles, the least expensive product, was purchased equally across all quintiles.
Iodine deficiency and excess are both associated with adverse health consequences, with fetuses, children and pregnant women being most vulnerable to the devastating effects of severe deficiency. It is often assumed that the iodine status of a population if displaced or in a remote or emergency situation is low. However, there is little evidence available to support this assumption, especially among long-term food-aid-dependent pregnant women. An effectiveness trial of a prenatal multiple-micronutrient supplement that contained 150 µg day(-1) iodine was conducted in two refugee camps in the North Eastern Province of Kenya in 2002. Urinary iodine concentration (UIC) was measured in a subsample of pregnant women attending antenatal care in Dagahaley (control camp) (n = 74) and Ifo (intervention camp) (n = 63). There was no significant difference in median UIC between the two camps (P = 0.118). The combined median UIC was 730 µg L(-1) (interquartile range, 780) (5.77 µmol L(-1)) and exceeded the upper safe limit of 500 µg L(-1) (3.95 µmol L(-1)) for pregnant women (P < 0.001), indicating excessive iodine intake. About 20% of the study subjects had 'more than adequate' urinary iodine, while over 71% had excessive UIC. Salt iodine content varied between 5.1 and 80.1 ppm in the five market salt samples analysed. In conclusion, excessive iodine intake was evident in the Dadaab refugee camps. Further research needs to be conducted to investigate the source of excess iodine, to determine the measures needed to address excessive iodine intake and to reconsider the World Health Organization/World Food Programme/United Nations Children's Fund guidance on supplementation of vulnerable groups in emergencies.
BackgroundSupplementation with zinc and vitamin A has been associated with reduced duration and severity of diarrhea and respiratory illness in children.ObjectiveWe measured the association of community‐based sales of Sprinkles with incidence of diarrhea, fever and cough in children 6–59mo.DesignThis was a cluster‐randomized, longitudinal cohort trial in 60 villages for the first 9mo (July 2007–March 2008), and expansion of access to Sprinkles to both study groups in the second 9mo (July 2008–March 2009). Thus, in addition to the experimental analyses using the first year's data, an as‐treated analysis to compare users and non‐users of Sprinkles across all 60 villages using all available data was carried out. The incidence of diarrhea, cough, and fever were compared between children who used Sprinkles and those who did not.ResultsOf the 1079 children enrolled, 78% (n=847) had data on Sprinkles use. Analyses using the experimental design (July 2007–March 2008) suggested null effects on diarrhea and cough. However, children in the intervention villages had 32% reduced fever (relative risk, RR=0.68; 95% CI=0.62, 0.74). Use of Sprinkles was associated with about 30% reduction in diarrhea (RR=0.71; 95% CI=0.55, 0.93) and 18% reduction in fever (RR=0.82; 95% CI=0.72, 0.95).ConclusionSale of Sprinkles may reduce fever and diarrhea incidence among children 6–59mo in western Kenya.Grant Funding Source: NEVIN SCRIMSHAW INTERNATIONAL NUTRITION FOUNDATION
The assessment of iron status where infections are common is complicated by the effects of inflammation on iron indicators and in this study we compared approaches that adjust for this influence. Blood was collected in 680 children (aged 6-35 mo) and indicators of iron status [(hemoglobin (Hb), zinc protoporphyrin (ZP), ferritin, transferrin receptor (TfR), and TfR/ferritin index)] and subclinical inflammation [(the acute phase proteins (APP) C-reactive protein (CRP), and α-1-acid glycoprotein (AGP)] were determined. Malaria parasitemia was assessed. Subclinical inflammation was defined as CRP >5 mg/L and/or AGP >1 g/L). Four groups were defined based on APP levels: reference (normal CRP and AGP), incubation (raised CRP and normal AGP), early convalescence (raised CRP and AGP), and late convalescence (normal CRP and raised AGP). Correction factors (CF) were estimated as the ratios of geometric means of iron indicators to the reference group of those for each inflammation group. Corrected values of iron indicators within inflammation groups were obtained by multiplying values by their respective group CF. CRP correlated with AGP (r = 0.65; P < 0.001), ferritin (r = 0.38; P < 0.001), Hb (r = -0.27; P < 0.001), and ZP (r = 0.16; P < 0.001); AGP was correlated with ferritin (r = 0.39; P < 0.001), Hb (r = -0.29; P < 0.001), and ZP (r = 0.24; P < 0.001). Use of CF to adjust for inflammation increased the prevalence of ID based on ferritin < 12 μg/L by 34% (from 27 to 41%). Applying the CF strengthened the expected relationship between Hb and ferritin (r = 0.10; P = 0.013 vs. r = 0.20; P < 0.001, before and after adjustment, respectively). Although the use of CF to adjust for inflammation appears indicated, further work is needed to confirm that this approach improves the accuracy of assessment of ID.