Are problematic eating behaviors from 4- to 7-year-old explained by genetic, shared factors or individual characteristics? A longitudinal twin study

Dewey KG. The challenge of meeting nutrient needs of infants and young children during the period of complementary feeding: an evolutionary perspective. J Nutr. 2013;143:2050–4.

CAS  Article  Google Scholar 

Birch L, Savage JS, Ventura A. Influences on the development of children’s eating behaviours: from infancy to adolescence. Can J Diet Pract Res. 2007;68:s1–s56.

PubMed  PubMed Central  Google Scholar 

Dubois L, Diasparra M, Bedard B, Kaprio J, Fontaine-Bisson B, Tremblay R, et al. Genetic and environmental influences on eating behaviors in 2.5- and 9-year-old children: a longitudinal twin study. Int J Behav Nutr Phys Act. 2013;10:134.

Article  Google Scholar 

Wood AC. Gene-environment interplay in child eating behaviors: what the role of “Nature” means for the effects of “Nurture”. Curr Nutr Rep. 2018;7:294–302.

CAS  Article  Google Scholar 

Wood A. Appetitive traits: genetic contributions to pediatric eating behaviors. In: Lumeng JC, Fisher JO, editors. Pediatric food preferences and eating behaviors. Amsterdam: Elsevier Inc.; 2018. p. 127–46.

Lewinsohn PM, Holm-Denoma JM, Gau JM, Joiner TE Jr., Striegel-Moore R, Bear P, et al. Problematic eating and feeding behaviors of 36-month-old children. Int J Eat Disord. 2005;38:208–19.

Article  Google Scholar 

Oliveira A, de Lauzon-Guillain B, Jones L, Emmett P, Moreira P, Ramos E, et al. Birth weight and eating behaviors of young children. J Pediatr. 2015;166:59–65.

Article  Google Scholar 

Brown R, Ogden J. Children’s eating attitudes and behaviour: a study of the modelling and control theories of parental influence. Health Educ Res. 2004;19:261–71.

Article  Google Scholar 

Steptoe A, Pollard TM, Wardle J. Development of a measure of the motives underlying the selection of food: the food choice questionnaire. Appetite. 1995;25:267–84.

CAS  Article  Google Scholar 

Kelder SH, Perry CL, Klepp KI, Lytle LL. Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. Am J Public Health. 1994;84:1121–6.

CAS  Article  Google Scholar 

Nicklas TA. Dietary studies of children and young adults (1973-1988): the Bogalusa Heart Study. Am J Med Sci. 1995;310:S101–8.

Article  Google Scholar 

Llewellyn CH, van Jaarsveld CH, Johnson L, Carnell S, Wardle J. Nature and nurture in infant appetite: analysis of the Gemini twin birth cohort. Am J Clin Nutr. 2010;91:1172–9.

CAS  Article  Google Scholar 

Carnell S, Haworth CM, Plomin R, Wardle J. Genetic influence on appetite in children. Int J Obes. 2008;32:1468–73.

CAS  Article  Google Scholar 

Llewellyn CH, van Jaarsveld CH, Boniface D, Carnell S, Wardle J. Eating rate is a heritable phenotype related to weight in children. Am J Clin Nutr. 2008;88:1560–6.

CAS  Article  Google Scholar 

Costa A, Severo M, Oliveira A. Food parenting practices and eating behaviors in childhood: a cross-lagged approach within the Generation XXI cohort. Am J Clin Nutr. 2021;114:101–108.

Article  Google Scholar 

Larsen PS, Kamper-Jorgensen M, Adamson A, Barros H, Bonde JP, Brescianini S, et al. Pregnancy and birth cohort resources in europe: a large opportunity for aetiological child health research. Paediatr Perinat Epidemiol. 2013;27:393–414.

Article  Google Scholar 

Albuquerque G, Severo M, Oliveira A. Early life characteristics associated with appetite-related eating behaviors in 7-year-old children. J Pediatr. 2017;180:38–46 e2.

Article  Google Scholar 

Peeters H, Van Gestel S, Vlietinck R, Derom C, Derom R. Validation of a telephone zygosity questionnaire in twins of known zygosity. Behav Genet. 1998;28:159–63.

CAS  Article  Google Scholar 

MacCallum RC, Widaman KF, Zhang SB, Hong SH. Sample size in factor analysis. Psychol Methods. 1999;4:84–99.

Article  Google Scholar 

Meade AW, Bauer DJ. Power and precision in confirmatory factor analytic tests of measurement invariance. Struct Equ Modeling. 2007;14:611–35.

Article  Google Scholar 

Ledermann T, Kenny DA. The common fate model for dyadic data: variations of a theoretically important but underutilized model. J Fam Psychol. 2012;26:140–8.

Article  Google Scholar 

Steiger JH. Structural model evaluation and modification: an interval estimation approach. Multivar Behav Res. 1990;25:173–80.

CAS  Article  Google Scholar 

Tucker LR, Lewis CJP. A reliability coefficient for maximum likelihood factor analysis. Psychometrika. 1973;38:1–10.

Article  Google Scholar 

Bentler PM. Fit indexes, lagrange multipliers, constraint changes and incomplete data in structural models. Multivar Behav Res. 1990;25:163–72.

CAS  Article  Google Scholar 

Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Modeling Multidiscip J. 1999;6:1–55.

Article  Google Scholar 

Browne MW, Cudeck R. Alternative ways of assessing model fit. Sociol Methods Res. 1992;21:230–58.

Article  Google Scholar 

Bates TC, Maes H, Neale MC. umx: twin and path-based structural equation modeling in R. Twin Res Hum Genet. 2019;22:27–41.

Article  Google Scholar 

Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15:155–63.

Article  Google Scholar 

de Castro JM, Lilenfeld LR. Influence of heredity on dietary restraint, disinhibition, and perceived hunger in humans. Nutrition. 2005;21:446–55.

Article  Google Scholar 

Neale BM, Mazzeo SE, Bulik CM. A twin study of dietary restraint, disinhibition and hunger: an examination of the eating inventory (three factor eating questionnaire). Twin Res. 2003;6:471–8.

Article  Google Scholar 

Plomin R, Rowe DC. A twin study of temperament in young children. J Psychol. 1977;97:107–13.

CAS  Article  Google Scholar 

Breen FM, Plomin R, Wardle J. Heritability of food preferences in young children. Physiol Behav. 2006;88:443–7.

CAS  Article  Google Scholar 

Lucas PJ, Patterson E, Sacks G, Billich N, Evans CEL. Preschool and school meal policies: an overview of what we know about regulation, implementation, and impact on diet in the UK, Sweden, and Australia. Nutrients. 2017;9:736.

Article  Google Scholar 

Haddad J, Ullah S, Bell L, Leslie E, Magarey A. The influence of home and school environments on children’s diet and physical activity, and body mass index: a structural equation modelling approach. Matern Child Health J. 2018;22:364–75.

Article  Google Scholar 

Driessen CE, Cameron AJ, Thornton LE, Lai SK, Barnett LM. Effect of changes to the school food environment on eating behaviours and/or body weight in children: a systematic review. Obes Rev. 2014;15:968–82.

CAS  Article  Google Scholar 

Herle M, Fildes A, Steinsbekk S, Rijsdijk F, Llewellyn CH. Emotional over- and under-eating in early childhood are learned not inherited. Sci Rep. 2017;7:9092.

Article  Google Scholar 

Carnell S, Wardle J. Appetite and adiposity in children: evidence for a behavioral susceptibility theory of obesity. Am J Clin Nutr. 2008;88:22–9.

CAS  Article  Google Scholar 

Llewellyn C, Wardle J. Behavioral susceptibility to obesity: gene-environment interplay in the development of weight. Physiol Behav. 2015;152:494–501.

CAS  Article  Google Scholar 

Smith AD, Fildes A, Cooke L, Herle M, Shakeshaft N, Plomin R, et al. Genetic and environmental influences on food preferences in adolescence. Am J Clin Nutr. 2016;104:446–53.

CAS  Article  Google Scholar 

Elder SJ, Neale MC, Fuss PJ, Lichtenstein AH, Greenberg AS, McCrory MA, et al. Genetic and environmental influences on eating behavior - a study of twin pairs reared apart or reared together. Open Nutr J. 2012;6:59–70.

Article  Google Scholar 

Kehoe, J. Basic item analysis for multiple-choice tests. Practical Assessment, Research & Evaluation. 1995;4.

留言 (0)

沒有登入
gif