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Schraw JM, Bailey HD, Bonaventure A, Mora AM, Roman E, Mueller BA, Clavel J, Petridou ET, Karalexi M, Ntzani E, Ezzat S, Rashed WM, Marcotte EL, Spector LG, Metayer C, Kang AY, Magnani C, Miligi L, Dockerty JD, Mejίa-Aranguré JM, Nuñez Enriquez JC, Infante-Rivard C, Milne E, Scheurer ME. Infant Feeding Practices And Childhood Acute Leukemia: Findings From The Childhood Cancer & Leukemia International Consortium. Int J Cancer 2022; 151:1013-1023. [PMID: 35532209 DOI: 10.1002/ijc.34062] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 03/11/2022] [Accepted: 04/12/2022] [Indexed: 11/08/2022]
Abstract
Increasing evidence suggests that breastfeeding may protect from childhood acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). However, most studies have limited their analyses to any breastfeeding, and only a few data have examined exclusive breastfeeding, or other exposures such as formula milk. We performed pooled analyses and individual participant data meta-analyses of data from sixteen studies (N=17,189 controls; N=10,782 ALL and N=1,690 AML cases) from the Childhood Leukemia International Consortium (CLIC) to characterize the associations of breastfeeding duration with ALL and AML, as well as exclusive breastfeeding duration and age at introduction to formula with ALL. In unconditional multivariable logistic regression analyses of pooled data, we observed decreased odds of ALL among children breastfed 4-6 months (0.88, 95% CI 0.81-0.96) or 7-12 months (OR 0.85, 0.79-0.92). We observed a similar inverse association between breastfeeding ≥4 months and AML (0.82, 95% CI 0.71-0.95). Odds of ALL were reduced among children exclusively breastfed 4-6 months (OR 0.73, 95% CI 0.63-0.85) or 7-12 months (OR 0.70, 95% CI 0.53-0.92). Random effects meta-analyses produced similar estimates, and findings were unchanged in sensitivity analyses adjusted for race/ethnicity or mode of delivery, restricted to children diagnosed ≥1 year of age, or diagnosed with B-ALL. Our pooled analyses indicate that longer breastfeeding is associated with decreased odds of ALL and AML. Few risk factors for ALL and AML have been described, therefore our findings highlight the need to promote breastfeeding for leukemia prevention.
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Affiliation(s)
- Jeremy M Schraw
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA.,Texas Children's Cancer and Hematology Centers, Texas Children's Hospital, Houston, TX, USA.,Center for Epidemiology and Population Health, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Helen D Bailey
- Telethon Kids Institute, The University of Western Australia, Nedlands, Western Australia, Australia
| | - Audrey Bonaventure
- CRESS, Université de Paris, INSERM UMR-1153, Epidemiology of childhood and adolescent cancers team, Villejuif, France
| | - Ana M Mora
- Center for Environmental Research and Community Health (CERCH), School of Public Health, University of California at Berkeley, Berkeley, CA, United States
| | - Eve Roman
- Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom
| | - Beth A Mueller
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Jacqueline Clavel
- CRESS, Université de Paris, INSERM UMR-1153, Epidemiology of childhood and adolescent cancers team, Villejuif, France.,National Registry of Childhood Cancers, APHP, Hôpital Paul-Brousse, Villejuif, and CHU de Nancy, Vandoeuvre-lès-Nancy, France
| | - Eleni T Petridou
- Department of Hygiene, Epidemiology, and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Hellenic Society for Social Pediatrics and Health Promotion, Greece
| | - Maria Karalexi
- Hellenic Society for Social Pediatrics and Health Promotion, Greece
| | - Evangelia Ntzani
- Center for Evidence-Based Medicine, Department of Health Services, Policy and Practice, School of Public Health, Brown University, Providence, RI, USA.,Department of Hygeine and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Sameera Ezzat
- Department of Epidemiology and Preventive Medicine, National Liver Institute, Menoufia University, Cairo, Egypt
| | - Wafaa M Rashed
- Research Department, Children's Cancer Hospital-57357, Cairo, Egypt
| | - Erin L Marcotte
- Division of Epidemiology & Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Logan G Spector
- Division of Epidemiology & Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - Catherine Metayer
- School of Public Health, University of California Berkeley, Berkeley, CA, USA
| | - Alice Y Kang
- School of Public Health, University of California Berkeley, Berkeley, CA, USA
| | - Corrado Magnani
- Dipartimento di Medicina Traslazionale, SCDU Epidemiologia del Tumori, Universitá del Piemonte Orientale, Novara, Italy
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Branch-Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - John D Dockerty
- Department of Preventative and Social Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Juan Manuel Mejίa-Aranguré
- Unidad de Investigación Médica en Epidemiología Clínica, Unidad Médica de Alta Especialidad (UMAE), Hospital de Pediatría, Centro Médico Nacional (CMN) "Siglo XXI", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico.,Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico.,Laboratorio de Genómica del Cáncer, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Juan Carlos Nuñez Enriquez
- Unidad de Investigación Médica en Epidemiología Clínica, Unidad Médica de Alta Especialidad (UMAE), Hospital de Pediatría, Centro Médico Nacional (CMN) "Siglo XXI", Instituto Mexicano del Seguro Social (IMSS), Mexico City, Mexico
| | - Claire Infante-Rivard
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montréal, Québec, Canada
| | - Elizabeth Milne
- Telethon Kids Institute, The University of Western Australia, Nedlands, Western Australia, Australia
| | - Michael E Scheurer
- Department of Pediatrics, Section of Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA.,Texas Children's Cancer and Hematology Centers, Texas Children's Hospital, Houston, TX, USA.,Center for Epidemiology and Population Health, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
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Marquezin MCS, Araujo DS, Amato JN, de S Barbosa T, Fonseca FLA, Gavião MBD, Castelo PM. A cluster analysis of the relationship between sucking habits, consistency of food ingested, and taste sensitivity in children. J Texture Stud 2019; 50:248-256. [PMID: 30834535 DOI: 10.1111/jtxs.12396] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 02/25/2019] [Accepted: 02/28/2019] [Indexed: 01/05/2023]
Abstract
As sucking habits and eating behavior may be interrelated and also associated with taste, body composition, and sociodemographic factors, the objective was to perform an exploratory analysis to identify groups of children with a high degree of association between intragroup subjects, providing explanation and interpretation of the data. The study initially included 352 prepubertal children (197 girls; 7- to 11-year-old), from whom information about sociodemographic characteristics, duration of breastfeeding, past bottle-feeding and non-nutritive sucking habits, taste sensitivity, body mass index (BMI), and consistency of food ingested were collected. Salivary concentrations of amylase and total protein were also determined. Data were submitted to cluster analysis (hierarchical analysis, K-means, and silhouette plot), one-way ANOVA and correlation tests. Cluster analysis included 159 children, generating three reliable and meaningful clusters: Cluster 1 (labeled "good tasters"), was characterized by older children and higher taste sensitivity; Cluster 2 ("softer food consistency") by longer bottle-feeding duration and children who eat food with lower consistency, and Cluster 3 ("breastfed") by longer breastfeeding duration (silhouette coefficient = 0.61). Cluster 3 also showed the higher percentage of normal-weight children, normal delivery, maternal schooling, and lower rate of past non-nutritional sucking habit. No correlation was found between salivary amylase and total protein concentrations, taste sensitivity and BMI, although taste sensitivity showed to be higher among girls (p = 0.002; power = 88%). The study identified three clusters, highlighting the relationship between nutritional sucking habits, consistency of food ingested, and sociodemographic characteristics. Most importantly, a close relation between bottle-feeding and consumption of soft food consistency was observed.
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Affiliation(s)
- Maria Carolina S Marquezin
- Department of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, São Paulo, Brazil
| | - Darlle S Araujo
- Department of Pediatric Dentistry, Piracicaba Dental School, University of Campinas, Piracicaba, São Paulo, Brazil
| | - Juliana N Amato
- Department of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, São Paulo, Brazil
| | - Taís de S Barbosa
- Department of Dentistry, Federal University of Juiz de Fora, Governador Valadares, Minas Gerais, Brazil
| | - Fernando L A Fonseca
- Department of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, São Paulo, Brazil
| | - Maria B D Gavião
- Department of Pediatric Dentistry, Piracicaba Dental School, University of Campinas, Piracicaba, São Paulo, Brazil
| | - Paula Midori Castelo
- Department of Pharmaceutical Sciences, Universidade Federal de São Paulo (UNIFESP), Diadema, São Paulo, Brazil
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Wright M, Sotres-Alvarez D, Mendez MA, Adair L. The association of trajectories of protein intake and age-specific protein intakes from 2 to 22 years with BMI in early adulthood. Br J Nutr 2017; 117:750-758. [PMID: 28347359 PMCID: PMC5842682 DOI: 10.1017/s0007114517000502] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Revised: 01/24/2017] [Accepted: 02/07/2017] [Indexed: 01/21/2023]
Abstract
No study has analysed how protein intake from early childhood to young adulthood relate to adult BMI in a single cohort. To estimate the association of protein intake at 2, 11, 15, 19 and 22 years with age- and sex-standardised BMI at 22 years (early adulthood), we used linear regression models with dietary and anthropometric data from a Filipino birth cohort (1985-2005, n 2586). We used latent growth curve analysis to identify trajectories of protein intake relative to age-specific recommended daily allowance (intake in g/kg body weight) from 2 to 22 years, then related trajectory membership to early adulthood BMI using linear regression models. Lean mass and fat mass were secondary outcomes. Regression models included socioeconomic, dietary and anthropometric confounders from early life and adulthood. Protein intake relative to needs at age 2 years was positively associated with BMI and lean mass at age 22 years, but intakes at ages 11, 15 and 22 years were inversely associated with early adulthood BMI. Individuals were classified into four mutually exclusive trajectories: (i) normal consumers (referent trajectory, 58 % of cohort), (ii) high protein consumers in infancy (20 %), (iii) usually high consumers (18 %) and (iv) always high consumers (5 %). Compared with the normal consumers, 'usually high' consumption was inversely associated with BMI, lean mass and fat mass at age 22 years whereas 'always high' consumption was inversely associated with male lean mass in males. Proximal protein intakes were more important contributors to early adult BMI relative to early-childhood protein intake; protein intake history was differentially associated with adulthood body size.
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Affiliation(s)
- Melecia Wright
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Michelle A. Mendez
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Linda Adair
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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