The Role of Eating Behaviours in Genetic Susceptibility to Obesity

Herle, Moritz; Smith, A. C. H.; Kininmonth, Alice R.; Llewellyn, Clare

doi:10.1007/s13679-020-00402-0

Cited by 37 publications

(27 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For all eating behaviors, the majority of previous research relies on single time point measures of eating behaviors, failing to capture the considerable heterogeneity across developmental stages 31 . Here, we present an exploration of the association between PGS for BMI and anorexia nervosa and longitudinal patterns of eating behaviors in childhood using data from a prospective population-based cohort, ALSPAC.…”

Section: Introductionmentioning

confidence: 99%

The genomics of childhood eating behaviours

et al. 2021

Self Cite

View full text Add to dashboard Cite

Eating behaviors may be expressions of genetic risk for obesity and are potential antecedents of later eating disorders. However, childhood eating behaviors are heterogeneous and transient. Here we show associations between polygenic scores for body mass index (BMI-PGS) and anorexia nervosa (AN-PGS) with eating behavior trajectories during the first ten years of life using data from the Avon Longitudinal Study of Parents and Children (ALSPAC), N=7,825. Results indicated that one standard deviation (SD) increase in the BMI-PGS was associated with a 30-37% increased risk for early- and mid-childhood overeating. In contrast, one SD increase in BMI-PGS was associated with a 20% decrease in risk of persistent high levels of undereating and a 15% decrease in risk of persistent fussy eating. There was no evidence for a significant association between AN-PGS and eating behavior trajectories. Our results support the notion that child eating behavior share common genetic variants associated with BMI.

show abstract

Section: Introductionmentioning

confidence: 99%

The genomics of childhood eating behaviours

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, less is known about the etiology of eating behaviors. Two recent narrative reviews have summarized previous twin and statistical genetic studies on investigating the heritability of eating behaviors, as well as the genetic link between eating behaviors and BMI (Herle et al, 2020;Silventoinen & Konttinen, 2020).…”

mentioning

confidence: 99%

The Role of the Environment in Overweight and Eating Behavior Variability: Insights from a Multivariate Twin Study

et al. 2020

Self Cite

View full text Add to dashboard Cite

Research has emphasized the genetic basis of individual differences in body mass index (BMI); however, genetic factors cannot explain the rapid rise of obesity. Eating behaviors have been stipulated to be the behavioral expression of genetic risk in an obesogenic environment. In this study, we decompose variation and covariation between three key eating behaviors and BMI in a sample of 698 participants, consisting of 167 monozygotic, 150 dizygotic complete same-sex female twins and 64 incomplete pairs from a population-based twin registry in the southeast of Spain, The Murcia Twin Registry. Phenotypes were emotional eating, uncontrolled eating and cognitive restraint, measured by the Three Factor Eating Questionnaire and objectively measured BMI. Variation in eating behaviors was driven by nonshared environmental factors (range: 56%−65%), whereas shared environmental and genetic factors were secondary. All three eating behaviors were correlated with BMI (r = .19–.25). Nonshared environmental factors explained the covariations (Emotional eating–Uncontrolled eating: rE = .54, 95% CI [.43, .64]; BMI–Cognitive restraint: rE = .15, 95% CI [.01, .28]). In contrast to BMI, individual differences in eating behaviors are mostly explained by nonshared environmental factors, which also accounted for the phenotypic correlation between eating behaviors and BMI. Due to the sample size, analyses were underpowered to detect contributions of additive genetic or shared environmental factors to variation and covariation of the phenotypes. Although more research is granted, these results support that eating behaviors could be viable intervention targets to help individuals maintain a healthy weight.

show abstract

“…52 Second, CFA conventional fit criteria are largely unmet for multifactorial scales. 53 Additionally, the present sample was somewhat socioeconomically and ethnicity diverse, with approximately one in four families earning less than $50 000/year, only 14% making over $100 000/year and one third of children identifying as Hispanic.…”

Section: Discussionmentioning

confidence: 81%

Psychometric properties of the Child Eating Behavior Questionnaire (CEBQ) in school age children with overweight and obesity: A proposed three‐factor structure

et al. 2021

View full text Add to dashboard Cite

Background: Obesity in youth is a significant public health concern, with eating behaviors being a major contributor. The Child Eating Behavior Questionnaire (CEBQ) was developed to evaluate the appetitive characteristics of young children, across a myriad of eating domains. Despite the breadth of its use, the psychometric properties of the measure in children with overweight/obesity (OW/OB), particularly treatment seeking youth, remains largely unexplored. Methods:The psychometric properties of the CEBQ were examined in a sample of school age children (8-12) with OW/OB. Parent-child dyads (N = 148) completed assessments prior to beginning a family weight management program. Exploratory factor analysis (EFA) was performed utilizing polychoric correlations, and emerging subscales were assessed to ensure that the range of response scores demonstrated adequate variability. Indices of the number of factors to be retained included acceleration factor (2), optimal coordinates (4), Velicer's MAP (5) and parallel analysis (11). These indices were used in combination with clinical utility to determine the final factor structure.Results: A three-factor structure emerged. The first factor combined many food responsiveness, enjoyment of food, satiety responsiveness and slowness in eating items, with the latter two domains loading negatively. The second factor retained the food fussiness subscale, and the third factor included items from the emotional overand under-eating subscales.Conclusions: These results suggest that in children with OW/OB, eating behaviors may be optimally assessed using three domains: reward-based eating, emotional eating and picky eating. Future research should explore how this structure holds in non-treatment-seeking samples and across wider socio-demographic profiles. | INTRODUCTIONWith current rates of obesity in children reaching 18.5% in the U.S. population, understanding patterns of children's eating behaviors that convey risk and maintenance of "obesogenic" eating behaviors remain an urgent public health goal. 1,2 The Child Eating Behavior Questionnaire

show abstract

The Role of Eating Behaviours in Genetic Susceptibility to Obesity

Cited by 37 publications

References 51 publications

The genomics of childhood eating behaviours

The genomics of childhood eating behaviours

The Role of the Environment in Overweight and Eating Behavior Variability: Insights from a Multivariate Twin Study

Psychometric properties of the Child Eating Behavior Questionnaire (CEBQ) in school age children with overweight and obesity: A proposed three‐factor structure

Contact Info

Product

Resources

About