TY - JOUR
T1 - Appetitive traits from infancy to adolescence
T2 - Using behavioral and neural measures to investigate obesity risk
AU - Carnell, Susan
AU - Benson, Leora
AU - Pryor, Katherine
AU - Driggin, Elissa
N1 - Funding Information:
This article is based on a presentation by Susan Carnell during the 2012 Annual Meeting of the Society for the Study of Ingestive Behavior, Zurich, Switzerland, July 10–14, 2012, made possible in part by generous donations from Research Diets, Inc., Sanofi, Inc., and TSE, Inc. This work was partly supported by K99DK088360 [PI: SC], and a research grant from the St. Luke's-Roosevelt Hospital Associate Trustees [PI: SC].
PY - 2013/9/10
Y1 - 2013/9/10
N2 - We come into the world with enduring predispositions towards food, which interact with environmental factors to influence our eating behaviors and weight trajectories. But our fates are not sealed - by learning more about this process we can identify ways to intervene. To advance this goal this we need to be able to assess appetitive traits such as food cue responsiveness and satiety sensitivity at different developmental stages. Assessment methods might include behavioral measures (e.g. eating behavior tests, psychometric questionnaires), but also biomarkers such as brain responses to food cues measured using fMRI. Evidence from infants, children and adolescents suggests that these indices of appetite differ not only with body weight, but also with familial obesity risk as assessed by parent weight, which reflects both genetic and environmental influences, and may provide a useful predictor of obesity development. Behavioral and neural approaches have great potential to inform each other: examining eating behavior can help us identify meaningful appetitive endophenotypes whose neural bases can be probed, while increasing knowledge of the shared neurobiology underlying appetite, obesity, and related behaviors and disorders may ultimately lead to innovative generalized interventions. Another challenge will be to combine comprehensive behavioral and neural assessments of appetitive traits with measures of relevant genetic and environmental factors within long-term prospective studies. This approach may help to identify the biobehavioral precursors of obesity, and lay the foundations for targeted neurobehavioral interventions that can interrupt the pathway to excess weight.
AB - We come into the world with enduring predispositions towards food, which interact with environmental factors to influence our eating behaviors and weight trajectories. But our fates are not sealed - by learning more about this process we can identify ways to intervene. To advance this goal this we need to be able to assess appetitive traits such as food cue responsiveness and satiety sensitivity at different developmental stages. Assessment methods might include behavioral measures (e.g. eating behavior tests, psychometric questionnaires), but also biomarkers such as brain responses to food cues measured using fMRI. Evidence from infants, children and adolescents suggests that these indices of appetite differ not only with body weight, but also with familial obesity risk as assessed by parent weight, which reflects both genetic and environmental influences, and may provide a useful predictor of obesity development. Behavioral and neural approaches have great potential to inform each other: examining eating behavior can help us identify meaningful appetitive endophenotypes whose neural bases can be probed, while increasing knowledge of the shared neurobiology underlying appetite, obesity, and related behaviors and disorders may ultimately lead to innovative generalized interventions. Another challenge will be to combine comprehensive behavioral and neural assessments of appetitive traits with measures of relevant genetic and environmental factors within long-term prospective studies. This approach may help to identify the biobehavioral precursors of obesity, and lay the foundations for targeted neurobehavioral interventions that can interrupt the pathway to excess weight.
KW - External eating
KW - Genetic obesity risk
KW - High-risk
KW - Maternal obesity
KW - Neuroimaging
KW - Parental obesity
KW - Review
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U2 - 10.1016/j.physbeh.2013.02.015
DO - 10.1016/j.physbeh.2013.02.015
M3 - Article
C2 - 23458627
AN - SCOPUS:84887195347
SN - 0031-9384
VL - 121
SP - 79
EP - 88
JO - Physiology and Behavior
JF - Physiology and Behavior
ER -