Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Malnutrition is an epidemiologic problem with high prevalence in Mexico. Mexican children present a double burden of malnutrition characterized by the coexistence of undernutrition and micronutrient deficiency alongside excess body weight. Malnutrition is caused by inadequate nutrition, including micronutrients deficiencies, in which children living in rural areas and indigenous populations are disproportionately affected. Malnutrition has been associated with an increased risk of metabolic abnormalities like metabolic syndrome (MS), diabetes, and cardiovascular disease in adulthood. Nutrition-specific interventions are strategies that may reduce or avert malnutrition in children. However, limited intervention studies have been implemented in low-income populations, particularly in rural areas. Therefore, studies that include nutrition-specific intervention with enriched foods aimed at reducing micronutrients deficiencies and that can help in prevention or treatment of metabolic conditions in these populations are still needed. Based on the nutritional characterization carried out in school children in Chimalhuacán, Mexico State, a formula in a powder form was designed for children containing vitamins, minerals, antioxidants, and omega-3 fatty acids that can be used to enrich foods. The present study aimed to evaluate the effect of a 4-week intervention with cookies enriched with a micronutrient formula on the nutritional status in Maya schoolchildren aged 8-10 years. Participants (n=84) were their own control, and the investigators measured, at pre- and post-intervention, anthropometric, clinical, biochemical, and cognitive parameters; diet and molecular parameters were assessed only at pre-intervention. Chi-square test, t-Student paired or Wilcoxon, ANCOVA, and logistic regression were performed to analyze the data.
Mexican children face both forms of malnutrition: under- and overnutrition. Malnutrition is common among children living in rural areas and indigenous populations, where children suffer from food insecurity and cannot access quality nutrition with adequate micronutrients levels. Studies with vulnerable population groups, such as children, in Mexico have shown that micronutrient deficiencies of vitamins A, E, D, C, and minerals like iron, zinc, calcium, and selenium exist. Micronutrient deficiencies can affect physiology functions, growth of children, cognitive function, and impair metabolic processes at biochemical and cellular level. Furthermore, the early exposure of children to malnutrition, in conjunction with the existence of genetic susceptibility, may predispose children to develop metabolic abnormalities like metabolic syndrome (MetS). Thus, increasing the risk of children developing diabetes and cardiovascular diseases in adulthood.
The investigators decided to implement an intervention study in rural communities in the state of Yucatan because this region presents a higher proportion of Maya population than other states of Mexico, but also Yucatan has the highest prevalence of both obesity and undernutrition in children in the country. Previous studies from the investigators group in a Maya child population revealed a frequency of 50% MetS, 34.9% Insulin Resistance (IR), in addition to deficiencies of essential micronutrients. Despite the fact micronutrients are essential for adequate functioning of metabolic processes, few studies in Mexico propose an intervention with enriched food with multiple nutrients such as micronutrients and omega-3 fatty acids. Also, there is little evidence from micronutrient intervention studies in schoolchildren with malnutrition in Mexico, as a strategy to impact on nutritional status and preventive metabolic conditions. For instance, a study by García-López S et al in Mexican schoolchildren with overweight and MetS showed a decrease in lipid and glycemic profiles when supplemented with omega 3-fatty acids for 1 month. Therefore, the present study aimed to evaluate the effect of 4-week intervention with enriched cookies containing a micronutrient formula designed specifically to target the nutritional deficiencies identified in the children. The investigators assessed anthropometric, clinical, biochemical, and cognitive parameters; diet and molecular parameters were assessed only at pre-intervention.
Study location: This study was conducted in three elementary schools of Maya rural communities of Yucatan. The communities are Xocén, Tahmek, and San José Oriente.
Study design: This study was a paired clinical trial. Participants were their own control for the enriched food intervention.
Sample size: The investigators used an equation for finite population. The sample size was estimated to have 80% of statistical power and 95% of a confidence level. A 15% was considered for calculations for dropout during the intervention. Based on the prevalence of malnutrition in Mexico and one community (Xocén), the total number of participants was 106.
Sampling procedure: The investigators considered the inclusion and exclusion criterions. Participants were assigned with the convenience sampling technique.
Intervention: The intervention consisted of a either a handmade oatmeal cookie or industrialized cookies both enriched with a formula FV-UNAM. The handmade oatmeal cookies enriched with the supplement formula were administered to schoolchildren from Xocén. The industrialized cookies, called Globitos, were donated by DONDÉ cookie factory company, and were supplemented with the same formula as the oatmeal cookies. The enriched Globitos were distributed to the schoolchildren from Tahmek and San José Oriente. The FV formula for children was designed by the Facultad de Química-UNAM. The FV formula is in powder form that contains vitamins, minerals, antioxidants, and omega-3 fatty acids, which are nutrients that have been observed to be deficient in the studied schoolchildren populations. The formulation was within the requirements of the Reference Daily Intake (RDI) for the Mexican population, according to their age, from the Official Mexican Standard (NOM)-051-SCFI/SSA1-2010.
Measurements: A nutritional-clinical face-to-face interview was performed with parents or tutors and children. When necessary, assistance from a local translator was used. Nutritional data was collected before pre-intervention. Anthropometric, clinical, biochemical, and cognitive parameters were collected pre- and post-intervention; diet and molecular parameters were assessed only at pre-intervention.
Adverse effects of the enriched cookies. Any adverse effects were assessed during a weekly visit. The information was obtained by teachers, parents or tutors.
Ethics approval. The study protocol was approved by the Ethics Committee of Hospital Juárez de México (HJM2315/14-C).
Data Analysis. Data was analyzed using the Statistical Program for Social Sciences (SPSS), version 20. Descriptive data was shown with tables pre- and post-intervention. Categorical variables were used as percentages. Continuous variables were tested for normality and were presented as mean and standard deviation. To determine significance of observed differences between pre- and post-intervention measurements the investigators used paired t-Student (parametric variables) and Wilcoxon (non-parametric) tests. An ANCOVA was performed to identify correlations between nutritional status and parameters, and was adjusted by age, gender, and BMI-z-score as fixed variables. Logistic regression was used to determine the effects of polymorphism under the risk of metabolic abnormality. A 95% confidence level was used, and a P value <0.05 was considered statistically significant.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention group | Experimental | Schoolchildren received enriched cookies containing a multiple micronutrients formula. Enriched cookies (20g) with a daily dose of 0.33g of organic mix formula were given in the morning during 4-weeks. The formulation is an industrial secret of UNAM. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Experimental intervention group with enriched cookies | Dietary Supplement | Enriched cookies containing a micronutrients formula (vitamins, minerals, antioxidants, and omega-3 fatty acids) each day (Monday to Friday). |
| Measure | Description | Time Frame |
|---|---|---|
| Change of weight from pre-intervention and after 4 weeks of intervention | Kilograms | Pre-intervention and post-intervention at week 4 |
| Change of height from pre-intervention and after 4 weeks of intervention | Meters | Pre-intervention and post-intervention at week 4 |
| Change of weight-for-age z-score from pre-intervention and after 4 weeks of intervention | Measurement value of weight will be used to calculate weight-for-age in z-score according to age and sex | Pre-intervention and post-intervention at week 4 |
| Change of height-for-age z-score from pre-intervention and after 4 weeks of intervention | Measurement value of height will be used to calculate height-for-age in z-score according to age and sex | Pre-intervention and post-intervention at week 4 |
| Change of Body Mass Index z-score from pre-intervention and after 4 weeks of intervention | Weight and height will be combined to calculate Body Mass Index in kg/m^2. The value of BMI will be reported in BMI-for-age in z-score according to age and sex | Pre-intervention and post-intervention at week 4 |
| Change of tricipital skinfold percentile from pre-intervention and after 4 weeks of intervention | Tricipital skinfold will be reported in percentile according to age and sex | Pre-intervention and post-intervention at week 4 |
| Change of bone diameters z-score from pre-intervention and after 4 weeks of intervention |
| Measure | Description | Time Frame |
|---|---|---|
| Energy intake | Energy intake will be estimated in kilocalories/day | Pre-intervention, assessed up to 1 day |
| Macronutrients intake in grams | Carbohydrate, protein and fat intake will be estimated in grams |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Marta Menjivar, PhD | Facultad de Química, UNAM | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Facultad de Química, Unidad Académica de la UNAM en Yucatán | Mérida | Yucatán | 97302 | Mexico |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31852602 | Background | Popkin BM, Corvalan C, Grummer-Strawn LM. Dynamics of the double burden of malnutrition and the changing nutrition reality. Lancet. 2020 Jan 4;395(10217):65-74. doi: 10.1016/S0140-6736(19)32497-3. Epub 2019 Dec 15. | |
| 29746745 | Background | Cuevas-Nasu L, Shamah-Levy T, Hernandez-Cordero SL, Gonzalez-Castell LD, Mendez Gomez-Humaran I, Avila-Arcos MA, Rivera-Dommarco JA. [Trends of malnutrition in Mexican children under five years from 1988 to 2016: Analysis of five national surveys]. Salud Publica Mex. 2018 May-Jun;60(3):283-290. doi: 10.21149/8846. Spanish. |
Not provided
Not provided
Individual participant data (IPD) not available because there is confidential data in the study.
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D050177 | Overweight |
| D009765 | Obesity |
| D006130 | Growth Disorders |
| D015362 | Child Nutrition Disorders |
| ID | Term |
|---|---|
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
Not provided
Not provided
The intervention consisted of enriched cookies given to children at school for one month. The intervention included two stages. First stage, schoolchildren received placebo cookies (20g of cookies without formula) each day (Monday to Friday) in the morning for 4 weeks. Then, in the second stage, schoolchildren received enriched cookies (20g with a formula FV-UNAM) each day (Monday to Friday) in the morning for 4 weeks. The formula was added to the cookies in a daily dose of 0.33g of organic mix that contained two vitamins, four minerals and omega-3 fatty acids. The exact composition of the formula is a trade secret held by UNAM. Schoolchildren were their own controls because the study was a paired study. In both stages we collected venous blood and anthropometric, blood pressure, and cognitive measurements before the placebo intervention, after 4 weeks from the beginning of formula intervention and post- intervention.
Not provided
Not provided
Not provided
Not provided
Bone diameters will be reported in z-score according to age and sex |
| Pre-intervention and post-intervention at week 4 |
| Change of waist circumference percentile from pre-intervention and after 4 weeks of intervention | Waist circumference will be reported in percentile according to age and sex | Pre-intervention and post-intervention at week 4 |
| Change of waist-to-height ratio from pre-intervention and after 4 weeks of intervention | Waist circumference height will be used to calculate waist-to-height ratio (WHtR) | Pre-intervention and post-intervention at week 4 |
| Change of body fat-mass pre-intervention and after 4 weeks of intervention | Percentage | Pre-intervention and post-intervention at week 4 |
| Change of fat-free-mass pre-intervention and after 4 weeks of intervention | Weight and body fat (converted to kg) will be used to calculate fat-free-mass in kilograms | Pre-intervention and post-intervention at week 4 |
| Change in Systolic Blood Pressure pre-intervention and after 4 weeks of intervention | Systolic Blood Pressure percentile according to age, sex, and height | Pre-intervention and post-intervention at week 4 |
| Change of red blood count pre-intervention and after 4 weeks of intervention | cell/microliter | Pre-intervention and post-intervention at week 4 |
| Change of hemoglobin pre-intervention and after 4 weeks of intervention | grams/deciliter | Pre-intervention and post-intervention at week 4 |
| Change of hematocrit pre-intervention and after 4 weeks of intervention | Percentage | Pre-intervention and post-intervention at week 4 |
| Change of platelets pre-intervention and after 4 weeks of intervention | Microliter | Pre-intervention and post-intervention at week 4 |
| Change of white blood cells count in all cell types pre-intervention and after 4 weeks of intervention | Reported value of neutrophils, eosinophils, lymphocytes, monocytes, and basophils in percentage | Pre-intervention and post-intervention at week 4 |
| Change of glucose and lipid profile pre-intervention and after 4 weeks of intervention | Glucose in milligrams/deciliter (mg/dL) Total cholesterol in mg/dL Triglycerides in mg/dL Low-density lipoproteins in mg/dL High-density lipoproteins in mg/dL | Pre-intervention and post-intervention at week 4 |
| Change of liver profile pre-intervention and after 4 weeks of intervention | Alanine aminotransferase in Unit/liter (U/L) Aspartate aminotransferase in U/L | Pre-intervention and post-intervention at week 4 |
| Change of blood proteins pre-intervention and after 4 weeks of intervention | Albumin in grams/deciliter (g/dL) Globulin in g/dL Total amount of albumin and globulin will be used to measure the total protein in g/dL | Pre-intervention and post-intervention at week 4 |
| Change in cognitive test pre-intervention and after 4 weeks of intervention | Standardized points of intellectual cognition based by a median of 100 | Pre-intervention and post-intervention at week 4 |
| Pre-intervention, assessed up to 1 day |
| Macronutrients intake in percentage | Carbohydrate, protein, and fat intake will be estimated in percentage | Pre-intervention, assessed up to 1 day |
| Micronutrients intake in micrograms | Vitamin A intake will be estimate in micrograms Selenium intake will be estimated in micrograms | Pre-intervention, assessed up to 1 day |
| Micronutrients intake in milligrams | Vitamin E and vitamin C intake will be estimated in milligrams Iron, calcium, and zinc will be estimated in milligrams | Pre-intervention, assessed up to 1 day |
| Frequency of food intake | Frequencies of food consumption (Percentages) | Pre-intervention, assessed up to 1 week |
| Molecular parameters | Allelic frequencies of each polymorphism of genes (Percentages) | Pre-intervention, assessed up to 1 day |
| 25411308 | Background | Kroker-Lobos MF, Pedroza-Tobias A, Pedraza LS, Rivera JA. The double burden of undernutrition and excess body weight in Mexico. Am J Clin Nutr. 2014 Dec;100(6):1652S-8S. doi: 10.3945/ajcn.114.083832. Epub 2014 Oct 29. |
| 33027862 | Background | Ramirez-Silva I, Rodriguez-Ramirez S, Barragan-Vazquez S, Castellanos-Gutierrez A, Reyes-Garcia A, Martinez-Pina A, Pedroza-Tobias A. Prevalence of inadequate intake of vitamins and minerals in the Mexican population correcting by nutrient retention factors, Ensanut 2016. Salud Publica Mex. 2020 Sep-Oct;62(5):521-531. doi: 10.21149/11096. |
| 25161059 | Background | Duggan MB. Prevention of childhood malnutrition: immensity of the challenge and variety of strategies. Paediatr Int Child Health. 2014 Nov;34(4):271-8. doi: 10.1179/2046905514Y.0000000139. Epub 2014 Aug 27. |
| 31973225 | Background | Tam E, Keats EC, Rind F, Das JK, Bhutta AZA. Micronutrient Supplementation and Fortification Interventions on Health and Development Outcomes among Children Under-Five in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis. Nutrients. 2020 Jan 21;12(2):289. doi: 10.3390/nu12020289. |
| 32577225 | Background | Martini L, Pecoraro L, Salvottini C, Piacentini G, Atkinson R, Pietrobelli A. Appropriate and inappropriate vitamin supplementation in children. J Nutr Sci. 2020 Jun 5;9:e20. doi: 10.1017/jns.2020.12. |
| 24335710 | Background | Garcia OP, Ronquillo D, del Carmen Caamano M, Martinez G, Camacho M, Lopez V, Rosado JL. Zinc, iron and vitamins A, C and e are associated with obesity, inflammation, lipid profile and insulin resistance in Mexican school-aged children. Nutrients. 2013 Dec 10;5(12):5012-30. doi: 10.3390/nu5125012. |
| 31852605 | Background | Wells JC, Sawaya AL, Wibaek R, Mwangome M, Poullas MS, Yajnik CS, Demaio A. The double burden of malnutrition: aetiological pathways and consequences for health. Lancet. 2020 Jan 4;395(10217):75-88. doi: 10.1016/S0140-6736(19)32472-9. Epub 2019 Dec 15. |
| 27658130 | Background | Garcia-Lopez S, Villanueva Arriaga RE, Najera Medina O, Rodriguez Lopez CP, Figueroa-Valverde L, Cervera EG, Munozcano Skidmore O, Rosas-Nexticapa M. One month of omega-3 fatty acid supplementation improves lipid profiles, glucose levels and blood pressure in overweight schoolchildren with metabolic syndrome. J Pediatr Endocrinol Metab. 2016 Oct 1;29(10):1143-1150. doi: 10.1515/jpem-2015-0324. |
| 18026621 | Background | de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007 Sep;85(9):660-7. doi: 10.2471/blt.07.043497. |
| 23516590 | Background | Imuta K, Scarf D, Pharo H, Hayne H. Drawing a close to the use of human figure drawings as a projective measure of intelligence. PLoS One. 2013;8(3):e58991. doi: 10.1371/journal.pone.0058991. Epub 2013 Mar 14. |
| 28225939 | Background | Ramirez-Silva I, Jimenez-Aguilar A, Valenzuela-Bravo D, Martinez-Tapia B, Rodriguez-Ramirez S, Gaona-Pineda EB, Angulo-Estrada S, Shamah-Levy T. Methodology for estimating dietary data from the semi-quantitative food frequency questionnaire of the Mexican National Health and Nutrition Survey 2012. Salud Publica Mex. 2016 Nov-Dec;58(6):629-638. doi: 10.21149/spm.v58i6.7974. |
| 25839936 | Background | Lara-Riegos JC, Ortiz-Lopez MG, Pena-Espinoza BI, Montufar-Robles I, Pena-Rico MA, Sanchez-Pozos K, Granados-Silvestre MA, Menjivar M. Diabetes susceptibility in Mayas: Evidence for the involvement of polymorphisms in HHEX, HNF4alpha, KCNJ11, PPARgamma, CDKN2A/2B, SLC30A8, CDC123/CAMK1D, TCF7L2, ABCA1 and SLC16A11 genes. Gene. 2015 Jul 1;565(1):68-75. doi: 10.1016/j.gene.2015.03.065. Epub 2015 Mar 31. |
| 24926019 | Background | Moreno-Estrada A, Gignoux CR, Fernandez-Lopez JC, Zakharia F, Sikora M, Contreras AV, Acuna-Alonzo V, Sandoval K, Eng C, Romero-Hidalgo S, Ortiz-Tello P, Robles V, Kenny EE, Nuno-Arana I, Barquera-Lozano R, Macin-Perez G, Granados-Arriola J, Huntsman S, Galanter JM, Via M, Ford JG, Chapela R, Rodriguez-Cintron W, Rodriguez-Santana JR, Romieu I, Sienra-Monge JJ, del Rio Navarro B, London SJ, Ruiz-Linares A, Garcia-Herrera R, Estrada K, Hidalgo-Miranda A, Jimenez-Sanchez G, Carnevale A, Soberon X, Canizales-Quinteros S, Rangel-Villalobos H, Silva-Zolezzi I, Burchard EG, Bustamante CD. Human genetics. The genetics of Mexico recapitulates Native American substructure and affects biomedical traits. Science. 2014 Jun 13;344(6189):1280-5. doi: 10.1126/science.1251688. Epub 2014 Jun 12. |
| 3344216 | Background | Miller SA, Dykes DD, Polesky HF. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res. 1988 Feb 11;16(3):1215. doi: 10.1093/nar/16.3.1215. No abstract available. |
| 16236591 | Background | Ashwell M, Hsieh SD. Six reasons why the waist-to-height ratio is a rapid and effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. Int J Food Sci Nutr. 2005 Aug;56(5):303-7. doi: 10.1080/09637480500195066. |
| 15477412 | Background | de Ferranti SD, Gauvreau K, Ludwig DS, Neufeld EJ, Newburger JW, Rifai N. Prevalence of the metabolic syndrome in American adolescents: findings from the Third National Health and Nutrition Examination Survey. Circulation. 2004 Oct 19;110(16):2494-7. doi: 10.1161/01.CIR.0000145117.40114.C7. Epub 2004 Oct 11. |
| 22084329 | Background | Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents; National Heart, Lung, and Blood Institute. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics. 2011 Dec;128 Suppl 5(Suppl 5):S213-56. doi: 10.1542/peds.2009-2107C. Epub 2011 Nov 14. No abstract available. |
| 26041567 | Background | Mendez N, Barrera-Perez TL, Palma-Solis M, Zavala-Castro J, Dickinson F, Azcorra H, Prelip M. ETHNICITY AND INCOME IMPACT ON BMI AND STATURE OF SCHOOL CHILDREN LIVING IN URBAN SOUTHERN MEXICO. J Biosoc Sci. 2016 Mar;48(2):143-57. doi: 10.1017/S0021932015000127. Epub 2015 Jun 4. |
| Background | World Health Organization. Child Growth Standards: Length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: Methods and development. [Website]. 2006. Retrieved from http://www.who.int/childgrowth/standards/en/ |
| Background | Shamah-Levy T, Vielma-Orozco E, Heredia-Hernández O, Romero-Martínez M, Mojica-Cuevas J, Cuevas-Nasu L, Santaella-Castell JA R-DJE. Encuesta Nacional de Salud y Nutrición 2018-19: Resultados Nacionales. Cuernavaca,. Instituto Nacional de Salud Pública. 2020. 1689-1699 p. |
| Background | Stewart A, Marfell-Jones M, Olds T, Ridder H. International standards for anthropometric assessment. Lower Hutt, New Zealand: International Society for the Advancement of Kinanthropometry - ISAK, 2011. |
| D012816 |
| Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D010335 | Pathologic Processes |