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Rangel Bousquet Carrilho T, Wang D, Hutcheon JA, Wang M, Fawzi WW, Kac G. The Impact of Excluding Adverse Neonatal Outcomes on the Creation of Gestational Weight Gain Charts Among Women from Low- and Middle-income Countries with Normal and Overweight BMI. Am J Clin Nutr 2024:S0002-9165(24)00385-X. [PMID: 38522618 DOI: 10.1016/j.ajcnut.2024.03.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/29/2024] [Accepted: 03/18/2024] [Indexed: 03/26/2024] Open
Abstract
BACKGROUND Existing gestational weight gain (GWG) charts vary considerably in their choice of exclusion/inclusion criteria, and it is unclear to what extent these criteria create differences in the charts' percentile values. OBJECTIVES We aimed to establish the impact of including/excluding pregnancies with adverse neonatal outcomes when constructing GWG charts. METHODS This is an individual participant data analysis from 31 studies from low- and middle-income countries. We created a dataset that included all participants and a dataset restricted to those with no adverse neonatal outcomes: preterm < 37 wk, small or large for gestational age, low birth weight < 2500 g, or macrosomia > 4000 g. Quantile regression models were used to create GWG curves from 9 to 40 wk, stratified by prepregnancy BMI, in each dataset. RESULTS The dataset without the exclusion criteria applied included 14,685 individuals with normal weight and 4831 with overweight. After removing adverse neonatal outcomes, 10,479 individuals with normal weight and 3466 individuals with overweight remained. GWG distributions at 13, 27, and 40 wk were virtually identical between the datasets with and without the exclusion criteria, except at 40 wk for normal weight and 27 wk for overweight. For the 10th and 90th percentiles, the differences between the estimated GWG were larger for overweight (∼1.5 kg) compared with normal weight (<1 kg). Removal of adverse neonatal outcomes had minimal impact on GWG trajectories of normal weight. For overweight, the percentiles estimated in the dataset without the criteria were slightly higher than those in the dataset with the criteria applied. Nevertheless, differences were <1 kg and virtually nonexistent at the end of pregnancy. CONCLUSIONS Removing pregnancies with adverse neonatal outcomes has little or no influence on the GWG trajectories of individuals with normal and overweight.
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Affiliation(s)
- Thais Rangel Bousquet Carrilho
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil; Department of Obstetrics and Gynaecology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Dongqing Wang
- Department of Global and Community Health, College of Public Health, George Mason University, Fairfax, VA, United States
| | - Jennifer A Hutcheon
- Department of Obstetrics and Gynaecology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Molin Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States
| | - Wafaie W Fawzi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States; Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, United States
| | - Gilberto Kac
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
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Benjumea Rincón MV, Restrepo-Mesa SL, Bousquet Carrilho TR, Kac G, Atalah Samur E, Cano Pulgarín JS, Estrada Restrepo A, Santa Escobar CD. Establishment of a Latin American dataset to enable the construction of gestational weight gain charts for adolescents. PLoS One 2024; 19:e0296981. [PMID: 38277345 PMCID: PMC10817143 DOI: 10.1371/journal.pone.0296981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 12/21/2023] [Indexed: 01/28/2024] Open
Abstract
Gestational weight gain is an important indicator for monitoring nutritional status during pregnancy. However, there are no gestational weight gain references created for adolescents or national datasets to enable the construction of such graphs up to date. This manuscript aims to describe the creation of a Latin American dataset to construct gestational weight gain references for adolescents aged 10-19 years old. Gestational weight gain data from studies conducted in nine countries (Argentina, Brazil, Chile, Colombia, Mexico, Panama, Paraguay, Peru, and Uruguay) collected between 2003 and 2021 were harmonized. Data on height, weight, and gestational age in at least two gestational trimesters were included. Pregnant adolescents should be free of diseases that could affect weight, and newborns should weigh between 2,500-4,000 g and be free of congenital malformations. The final dataset included 6,414 individuals after data cleaning. Heterogeneity between the countries was assessed by calculating standardized site differences for GWG and z scores of height-for-age. Several imputation procedures were tested, and approximately 10% of the first-trimester weights were imputed. The prevalence of individuals with underweight (1.5%) and obesity (5.3%) was low, which may lead to problems when modeling the curves for such BMI categories. Maternal height and gestational weight gain did not show significant differences by country, according to the standardized site differences. A harmonized dataset of nine countries with imputed data in the first trimester of pregnancy was prepared to construct Latin American gestational weight gain curves for adolescents.
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Affiliation(s)
| | - Sandra Lucía Restrepo-Mesa
- Research Group on Food and Human Nutrition, School of Nutrition and Dietetics, University of Antioquia, Medellin, Colombia
| | - Thais Rangel Bousquet Carrilho
- Josué de Castro Nutrition Institute, Nutritional Epidemiology Observatory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gilberto Kac
- Josué de Castro Nutrition Institute, Nutritional Epidemiology Observatory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | | | - Alejandro Estrada Restrepo
- Research Group on Demographics and Health, School of Nutrition and Dietetics, University of Antioquia, Medellín, Colombia
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Restrepo-Mesa SL, Benjumea Rincón MV, Estrada Restrepo A, Bousquet Carrilho TR, Kac G, Cano Pulgarín JS, Cano-Pulgarín K, Severi C, Sinisterra O, Zimmer Sarmiento MDC, López Ocampos MI, Araya Bannout M, Chico-Barba G, Pinto Arteaga N, Grandi C, Atalah Samur E, Santa Escobar CD. Gestational weight gain charts for Latin American adolescents. PLoS One 2023; 18:e0292070. [PMID: 37910544 PMCID: PMC10619863 DOI: 10.1371/journal.pone.0292070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 09/12/2023] [Indexed: 11/03/2023] Open
Abstract
Monitoring gestational weight gain (GWG) throughout pregnancy among adolescents is important for detecting individuals at risk and timely intervention. However, there are no specific tools or guidelines for GWG monitoring of this group. We aimed to construct GWG charts for pregnant adolescents (10-19 years old) according to pre-pregnancy body mass index (BMI) using a pooled dataset from nine Latin American countries. Datasets from Argentina, Brazil, Chile, Colombia, Mexico, Panama, Paraguay, Peru, and Uruguay collected between 2003 and 2021 were combined after data cleaning and harmonization. Adolescents free of diseases that could affect GWG and who gave birth to newborns weighing between 2,500-4,000 g and free of congenital malformations were included. Multiple imputation techniques were applied to increase the sample size available for underweight and obesity categories. Generalized Additive Models for Location, Scale, and Shape were used to construct the charts of GWG according to gestational age. Internal and external validation procedures were performed to ensure that models were not over-adjusted to the data. The cohort included 6,414 individuals and 29,414 measurements to construct the charts and 1,684 individuals and 8,879 measurements for external validation. The medians (and interquartile ranges) for GWG at 40 weeks according to pre-pregnancy BMI were: underweight, 14.9 (11.9-18.6); normal weight, 14.0 (10.6-17.7); overweight, 11.6 (7.7-15.6); obesity, 10.6 kg (6.7-14.3). Internal and external validation showed that the percentages above/below selected percentiles were close to those expected, except for underweight adolescents. These charts describe the GWG throughout pregnancy among Latin American adolescents and represent a significant contribution to the prenatal care of this group. GWG cut-offs based on values associated with lower risks of unfavorable outcomes for the mother-child binomial should be determined before implementing the charts in clinical practice.
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Affiliation(s)
- Sandra Lucía Restrepo-Mesa
- Research Group on Food and Human Nutrition, School of Nutrition and Dietetics, University of Antioquia, Medellín, Colombia
| | | | - Alejandro Estrada Restrepo
- Research Group on Demographics and Health, School of Nutrition and Dietetics, University of Antioquia, Medellín, Colombia
| | - Thais Rangel Bousquet Carrilho
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gilberto Kac
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Keren Cano-Pulgarín
- Research Group on Food and Human Nutrition, School of Nutrition and Dietetics, University of Antioquia, Medellín, Colombia
| | - Cecilia Severi
- Faculty of Medicine, Preventive Medicine Department, University of Republic, Montevideo, Uruguay
| | | | | | - Maria Isabel López Ocampos
- Health Promotion Section, Loma Pyta Maternal and Child Hospital, Public Health and Social Welfare Ministry, Asunción, Paraguay
| | - Marcela Araya Bannout
- Faculty of Medicine, Women and Newborn Health Promotion Department, Chile University, Santiago, Chile
| | - Gabriela Chico-Barba
- Nutrition and Bioprogramming Coordination, National Institute of Perinatology, Ciudad de México, México
| | | | - Carlos Grandi
- Pediatric Research Department, Argentine Society of Pediatrics, Buenos Aires, Argentina
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Carrilho TRB, Silva NDJ, Paixão ES, Falcão IR, Fiaccone RL, Rodrigues LC, Katikireddi SV, Leyland AH, Dundas R, Pearce A, Velasquez-Melendez G, Kac G, Silva RDCR, Barreto ML. Maternal and child nutrition programme of investigation within the 100 Million Brazilian Cohort: study protocol. BMJ Open 2023; 13:e073479. [PMID: 37673446 PMCID: PMC10496662 DOI: 10.1136/bmjopen-2023-073479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 08/18/2023] [Indexed: 09/08/2023] Open
Abstract
INTRODUCTION There is a limited understanding of the early nutrition and pregnancy determinants of short-term and long-term maternal and child health in ethnically diverse and socioeconomically vulnerable populations within low-income and middle-income countries. This investigation programme aims to: (1) describe maternal weight trajectories throughout the life course; (2) describe child weight, height and body mass index (BMI) trajectories; (3) create and validate models to predict childhood obesity at 5 years of age; (4) estimate the effects of prepregnancy BMI, gestational weight gain (GWG) and maternal weight trajectories on adverse maternal and neonatal outcomes and child growth trajectories; (5) estimate the effects of prepregnancy BMI, GWG, maternal weight and interpregnancy BMI changes on maternal and child outcomes in the subsequent pregnancy; and (6) estimate the effects of maternal food consumption and infant feeding practices on child nutritional status and growth trajectories. METHODS AND ANALYSIS Linked data from four different Brazilian databases will be used: the 100 Million Brazilian Cohort, the Live Births Information System, the Mortality Information System and the Food and Nutrition Surveillance System. To analyse trajectories, latent-growth, superimposition by translation and rotation and broken stick models will be used. To create prediction models for childhood obesity, machine learning techniques will be applied. For the association between the selected exposure and outcomes variables, generalised linear models will be considered. Directed acyclic graphs will be constructed to identify potential confounders for each analysis investigating potential causal relationships. ETHICS AND DISSEMINATION This protocol was approved by the Research Ethics Committees of the authors' institutions. The linkage will be carried out in a secure environment. After the linkage, the data will be de-identified, and pre-authorised researchers will access the data set via a virtual private network connection. Results will be reported in open-access journals and disseminated to policymakers and the broader public.
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Affiliation(s)
- Thais Rangel Bousquet Carrilho
- Nutritional Epidemiology Observatory, Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Natanael de Jesus Silva
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- Barcelona Institute for Global Health, Hospital Clínic, University of Barcelona, Barcelona, Catalunya, Spain
| | - Enny Santos Paixão
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, London, UK
| | - Ila Rocha Falcão
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- School of Nutrition, Federal University of Bahia, Salvador, BA, Brazil
| | - Rosemeire Leovigildo Fiaccone
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- Institute of Mathematics and Statistics, Federal University of Bahia, Salvador, BA, Brazil
| | - Laura Cunha Rodrigues
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, London, UK
| | | | - Alastair H Leyland
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland, UK
| | - Ruth Dundas
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland, UK
| | - Anna Pearce
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland, UK
| | - Gustavo Velasquez-Melendez
- Department of Maternal and Child Nursing and Public Health, Nursing School, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Gilberto Kac
- Nutritional Epidemiology Observatory, Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Rita de Cássia Ribeiro Silva
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- School of Nutrition, Federal University of Bahia, Salvador, BA, Brazil
| | - Mauricio L Barreto
- Centre for Data and Knowledge Integration for Health, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, BA, Brazil
- Institute of Collective Health, Federal University of Bahia, Salvador, BA, Brazil
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Carrilho TRB, Kac G, Hutcheon JA. Should local references or global standards be used to assess gestational weight gain? Eur J Clin Nutr 2023; 77:762-763. [PMID: 36076066 DOI: 10.1038/s41430-022-01202-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/16/2022] [Accepted: 08/17/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Thais Rangel Bousquet Carrilho
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
| | - Gilberto Kac
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Jennifer A Hutcheon
- Department of Obstetrics and Gynaecology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
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Carrilho TRB, Hutcheon JA, Rasmussen KM, Reichenheim ME, Farias DR, Freitas-Costa NC, Kac G. Gestational weight gain according to the Brazilian charts and its association with maternal and infant adverse outcomes. Am J Clin Nutr 2023; 117:414-425. [PMID: 36811564 DOI: 10.1016/j.ajcnut.2022.11.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 11/15/2022] [Accepted: 11/28/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND The lack of gestational weight gain (GWG) recommendations for low- and middle-income countries is a significant concern. OBJECTIVES To identify the ranges on the Brazilian GWG charts associated with lowest risks of selected adverse maternal and infant outcomes. METHODS Data from 3 large Brazilian datasets were used. Pregnant individuals aged ≥18, without hypertensive disorders or gestational diabetes were included. Total GWG was standardized to gestational age-specific z-scores according to Brazilian GWG charts. A composite infant outcome was defined as the occurrence of any of small-for-gestationa lage (SGA), large-forgestationa lage (LGA), or preterm birth. In a separate sample, postpartum weight retention (PPWR) was measured at 6 and/or 12 mo postpartum. Multiple logistic and Poisson regressions were performed with GWG z-scores as the exposure and individual and composite outcomes. GWG ranges associated with the lowest risk of the composite infant outcome were identified using noninferiority margins. RESULTS For the neonatal outcomes, 9500 individuals were included in the sample. For PPWR, 2602 and 7859 individuals were included at 6 and 12 mo postpartum, respectively. Overall, 7.5% of the neonates were SGA, 17.6% LGA, and 10.5% were preterm. Higher GWG z-scores were positively associated with LGA birth, whereas lower z-scores were positively associated with SGA births. The risk of the selected adverse neonatal outcomes were lowest (within 10% of lowest observed risk) when individuals with underweight, normal weight, overweight, or obesity gained between 8.8-12.6; 8.7-12.4; 7.0-8.9; and 5.0-7.2 kg, respectively. These gains correspond to probabilities of PPWR ≥5 kg at 12 mo of 30% for individuals with under and normal weight, and <20% for overweight and obesity. CONCLUSIONS This study provided evidence to inform new GWG recommendations in Brazil.
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Affiliation(s)
- Thais Rangel Bousquet Carrilho
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
| | - Jennifer A Hutcheon
- Department of Obstetrics and Gynaecology, University of British Columbia, Faculty of Medicine, Vancouver, Canada
| | | | - Michael E Reichenheim
- Department of Epidemiology, Institute of Social Medicine, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Dayana Rodrigues Farias
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Nathalia Cristina Freitas-Costa
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Gilberto Kac
- Nutritional Epidemiology Observatory, Josué de Castro Nutrition Institute, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
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Farias DR, Carrilho TRB, Freitas-Costa NC, Batalha MA, Gonzalez M, Kac G. Maternal mental health and gestational weight gain in a Brazilian Cohort. Sci Rep 2021; 11:10787. [PMID: 34031477 PMCID: PMC8144604 DOI: 10.1038/s41598-021-90179-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 04/20/2021] [Indexed: 11/08/2022] Open
Abstract
Depression and anxiety are common during pregnancy, but little is known about the influence of these disorders on gestational weight gain (GWG). Data from a prospective cohort of pregnant women followed in a public healthcare center in Rio de Janeiro, Brazil, were used to evaluate the association of depression, anxiety, and suicide risk with GWG. GWG was evaluated at 5-13, 20-26, 30-36, and 37-42 weeks, and GWG adequacy was determined. Statistical analyses included linear mixed-effect models and Poisson regression. We evaluated 206 women, in which 15% (n = 31) presented major depressive disorder, 19.4% (n = 34) suicide risk and 10% (n = 21) generalized anxiety disorder at baseline. Women with depression at the first trimester, persistent depressive symptoms, and anxiety symptoms at the second trimester presented significantly lower rates of GWG per week compared to those without depression or anxiety, respectively. Persistent depressive symptoms represented a 2.40 (95% CI 1.20; 4.81; p = 0.013) increase in the risk of insufficient GWG. There was no significant association between generalized anxiety disorder or suicide risk with GWG. The presence of depression, depressive symptoms, and anxiety during pregnancy were associated with lower GWG rates. Persistent depressive symptoms during pregnancy were directly associated with insufficient GWG.
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Affiliation(s)
- Dayana Rodrigues Farias
- Nutritional Epidemiology Observatory, Department of Social and Applied Nutrition, Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, Avenida Carlos Chagas Filho, 373, CCS, Bloco J, 2º andar, sala 29. Cidade Universitária - Ilha do Fundão, Rio de Janeiro, RJ, 21941-902, Brazil.
| | - Thais Rangel Bousquet Carrilho
- Nutritional Epidemiology Observatory, Department of Social and Applied Nutrition, Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, Avenida Carlos Chagas Filho, 373, CCS, Bloco J, 2º andar, sala 29. Cidade Universitária - Ilha do Fundão, Rio de Janeiro, RJ, 21941-902, Brazil
| | - Nathalia C Freitas-Costa
- Nutritional Epidemiology Observatory, Department of Social and Applied Nutrition, Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, Avenida Carlos Chagas Filho, 373, CCS, Bloco J, 2º andar, sala 29. Cidade Universitária - Ilha do Fundão, Rio de Janeiro, RJ, 21941-902, Brazil
| | - Mônica Araújo Batalha
- Nutritional Epidemiology Observatory, Department of Social and Applied Nutrition, Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, Avenida Carlos Chagas Filho, 373, CCS, Bloco J, 2º andar, sala 29. Cidade Universitária - Ilha do Fundão, Rio de Janeiro, RJ, 21941-902, Brazil
| | - Mylena Gonzalez
- Nutritional Epidemiology Observatory, Department of Social and Applied Nutrition, Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, Avenida Carlos Chagas Filho, 373, CCS, Bloco J, 2º andar, sala 29. Cidade Universitária - Ilha do Fundão, Rio de Janeiro, RJ, 21941-902, Brazil
| | - Gilberto Kac
- Nutritional Epidemiology Observatory, Department of Social and Applied Nutrition, Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, Avenida Carlos Chagas Filho, 373, CCS, Bloco J, 2º andar, sala 29. Cidade Universitária - Ilha do Fundão, Rio de Janeiro, RJ, 21941-902, Brazil
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Ruíz-Roso MB, de Carvalho Padilha P, Matilla-Escalante DC, Brun P, Ulloa N, Acevedo-Correa D, Arantes Ferreira Peres W, Martorell M, Rangel Bousquet Carrilho T, de Oliveira Cardoso L, Carrasco-Marín F, Paternina-Sierra K, Lopez de las Hazas MC, Rodriguez-Meza JE, Villalba-Montero LF, Bernabè G, Pauletto A, Taci X, Cárcamo-Regla R, Martínez JA, Dávalos A. Changes of Physical Activity and Ultra-Processed Food Consumption in Adolescents from Different Countries during Covid-19 Pandemic: An Observational Study. Nutrients 2020; 12:nu12082289. [PMID: 32751721 PMCID: PMC7468997 DOI: 10.3390/nu12082289] [Citation(s) in RCA: 141] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/27/2020] [Accepted: 07/28/2020] [Indexed: 11/16/2022] Open
Abstract
AIM to describe physical activity and ultra-processed foods consumption, their changes and sociodemographic predictors among adolescents from countries in Europe (Italy and Spain) and Latin America (Brazil, Chile, and Colombia) during the SARS-CoV-2-pandemic period. METHODS Cross-sectional study via web survey. International Physical Activity Questionnaire (IPAQ) and weekly ultra-processed food consumption data were used. To compare the frequencies of physical activity status with sociodemographic variables, a multinomial logistic and a multiple logistic regression for habitual ultra-processed foods was performed. In final models, p < 0.05 was considered significant. RESULTS Sample of 726 adolescents, mostly females (59.6%) aged 16-19 years old (54.3%). Adolescents from Latin America presented odds ratio (OR) 2.98 (CI 95% 1.80-4.94) of being inactive and those whose mothers had higher level of education were less active during lockdown [OR 0.40 (CI 95% 0.20-0.84)]. The habitual ultra-processed consumption was also high during this period in all countries, and more prevalent in Latin America. CONCLUSION A higher prevalence of inactivity was observed in this population, but reductions of physical activity and habitual ultra-processed consumption during the pandemic were more pronounced in Latin America. Our findings reinforce the importance of promoting a healthy lifestyle, i.e., exercise and diet, during periods of social isolation.
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Affiliation(s)
- María Belén Ruíz-Roso
- Laboratory of Epigenetics of Lipid Metabolism, Madrid Institute for Advanced Studies (IMDEA)–Food, CEI UAM + CSIC, 28049 Madrid, Spain; (D.C.M.-E.); (M.-C.L.d.l.H.)
- Correspondence: (M.B.R.-R.); (P.d.C.P.); ; (A.D.); Tel.: +34-91-279-6985 (A.D.)
| | - Patricia de Carvalho Padilha
- Laboratory of Epigenetics of Lipid Metabolism, Madrid Institute for Advanced Studies (IMDEA)–Food, CEI UAM + CSIC, 28049 Madrid, Spain; (D.C.M.-E.); (M.-C.L.d.l.H.)
- Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil; (W.A.F.P.); (T.R.B.C.)
- Instituto de Puericultura e Pediatria Martagão Gesteira, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
- Correspondence: (M.B.R.-R.); (P.d.C.P.); ; (A.D.); Tel.: +34-91-279-6985 (A.D.)
| | - Diana C. Matilla-Escalante
- Laboratory of Epigenetics of Lipid Metabolism, Madrid Institute for Advanced Studies (IMDEA)–Food, CEI UAM + CSIC, 28049 Madrid, Spain; (D.C.M.-E.); (M.-C.L.d.l.H.)
| | - Paola Brun
- Department of Molecular Medicine, University of Padova, I-35100 Padua, Italy; (P.B.); (G.B.); (A.P.); (X.T.)
| | - Natalia Ulloa
- Centro Vida Saludable, Universidad de Concepción, Concepción 4070386, BíoBío, Chile; (N.U.); (M.M.); (F.C.-M.); (R.C.-R.)
- Departamento de Bioquímica Clínica e Inmunología, Facultad de Farmacia, Universidad de Concepción, Concepción 4070386, Chile
| | - Diofanor Acevedo-Correa
- Research Group in Innovation and Agricultural and Agroindustrial Development, University of Cartagena, Cartagena de Indias 48-152, Colombia; (D.A.-C.); (K.P.-S.); (J.E.R.-M.)
| | - Wilza Arantes Ferreira Peres
- Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil; (W.A.F.P.); (T.R.B.C.)
| | - Miquel Martorell
- Centro Vida Saludable, Universidad de Concepción, Concepción 4070386, BíoBío, Chile; (N.U.); (M.M.); (F.C.-M.); (R.C.-R.)
- Departamento de Nutrición y Dietética, Facultad de Farmacia, Universidad de Concepción, Concepción 4070386, Chile
| | - Thais Rangel Bousquet Carrilho
- Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil; (W.A.F.P.); (T.R.B.C.)
| | | | - Fernanda Carrasco-Marín
- Centro Vida Saludable, Universidad de Concepción, Concepción 4070386, BíoBío, Chile; (N.U.); (M.M.); (F.C.-M.); (R.C.-R.)
| | - Katherine Paternina-Sierra
- Research Group in Innovation and Agricultural and Agroindustrial Development, University of Cartagena, Cartagena de Indias 48-152, Colombia; (D.A.-C.); (K.P.-S.); (J.E.R.-M.)
| | - María-Carmen Lopez de las Hazas
- Laboratory of Epigenetics of Lipid Metabolism, Madrid Institute for Advanced Studies (IMDEA)–Food, CEI UAM + CSIC, 28049 Madrid, Spain; (D.C.M.-E.); (M.-C.L.d.l.H.)
| | - Jhon E. Rodriguez-Meza
- Research Group in Innovation and Agricultural and Agroindustrial Development, University of Cartagena, Cartagena de Indias 48-152, Colombia; (D.A.-C.); (K.P.-S.); (J.E.R.-M.)
| | | | - Giulia Bernabè
- Department of Molecular Medicine, University of Padova, I-35100 Padua, Italy; (P.B.); (G.B.); (A.P.); (X.T.)
| | - Anthony Pauletto
- Department of Molecular Medicine, University of Padova, I-35100 Padua, Italy; (P.B.); (G.B.); (A.P.); (X.T.)
| | - Xhoajda Taci
- Department of Molecular Medicine, University of Padova, I-35100 Padua, Italy; (P.B.); (G.B.); (A.P.); (X.T.)
| | - Richar Cárcamo-Regla
- Centro Vida Saludable, Universidad de Concepción, Concepción 4070386, BíoBío, Chile; (N.U.); (M.M.); (F.C.-M.); (R.C.-R.)
| | - J. Alfredo Martínez
- Ciber de la Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28049 Madrid, Spain;
- Department of Nutrition and Physiology, Center for Nutrition Research, University of Navarra, IDISNA Navarra, 31008 Pamplona, Spain
- Cardiometabolic Nutrition Group, Madrid Institute for Advanced Studies Food (IMDEA Food), CEI UAM + CSIC, 28049 Madrid, Spain
| | - Alberto Dávalos
- Laboratory of Epigenetics of Lipid Metabolism, Madrid Institute for Advanced Studies (IMDEA)–Food, CEI UAM + CSIC, 28049 Madrid, Spain; (D.C.M.-E.); (M.-C.L.d.l.H.)
- Correspondence: (M.B.R.-R.); (P.d.C.P.); ; (A.D.); Tel.: +34-91-279-6985 (A.D.)
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