Literature DB >> 25984820

Prediction of daily food intake as a function of measurement modality and restriction status.

Nicole R Giuliani1, A Janet Tomiyama, Traci Mann, Elliot T Berkman.   

Abstract

OBJECTIVE: Research on eating relies on various indices (e.g., stable, momentary, neural) to accurately reflect food-related reactivity (e.g., disinhibition) and regulation (e.g., restraint) outside the laboratory. The degree to which they differentially predict real-world consumption remains unclear. Further, the predictive validity of these indices might vary depending on whether an individual is actively restricting intake.
METHODS: We assessed food craving reactivity and regulation in 46 healthy participants (30 women, 18-30 years) using standard measurements in three modalities: a) self-reported (stable) traits using surveys popular in the eating literature, and b) momentary craving ratings and c) neural activation using aggregated functional magnetic resonance imaging data gathered during a food reactivity-and-regulation task. We then used these data to predict variance in real-world consumption of craved energy-dense "target" foods across 2 weeks among normal-weight participants randomly assigned to restrict or monitor target food intake.
RESULTS: The predictive validity of four indices varied significantly by restriction. When participants were not restricting intake, momentary (B = 0.21, standard error [SE] = 0.05) and neural (B = 0.08, SE = 0.04) reactivity positively predicted consumption, and stable (B = -0.22, SE = 0.05) and momentary (B = -0.24, SE = 0.05) regulation negatively predicted consumption. When restricting, stable (B = 0.36, SE = 0.12) and neural (B = 0.51, SE = 0.12) regulation positively predicted consumption.
CONCLUSIONS: Commonly-used indices of regulation and reactivity differentially relate to an ecologically-valid eating measurement, depending on the presence of restriction goals, and thus have strong implications for predicting real-world behaviors.

Entities:  

Mesh:

Year:  2015        PMID: 25984820      PMCID: PMC4459907          DOI: 10.1097/PSY.0000000000000187

Source DB:  PubMed          Journal:  Psychosom Med        ISSN: 0033-3174            Impact factor:   4.312


  32 in total

1.  Restraint, tendency toward overeating and ice cream consumption.

Authors:  T Van Strien; A Cleven; G Schippers
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2.  Eating behavior correlates of adult weight gain and obesity in healthy women aged 55-65 y.

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3.  Brain activation in restrained and unrestrained eaters: an fMRI study.

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Journal:  J Abnorm Psychol       Date:  2009-08

4.  Dietary intake in relation to restrained eating, disinhibition, and hunger in obese and nonobese Swedish women.

Authors:  A K Lindroos; L Lissner; M E Mathiassen; J Karlsson; M Sullivan; C Bengtsson; L Sjöström
Journal:  Obes Res       Date:  1997-05

5.  Tendency toward overeating and restraint as predictors of food consumption.

Authors:  Machteld A Ouwens; Tatjana van Strien; Cees P F van der Staak
Journal:  Appetite       Date:  2003-06       Impact factor: 3.868

6.  Body mass correlates inversely with inhibitory control in response to food among adolescent girls: an fMRI study.

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7.  Comparison of text messaging and paper-and-pencil for ecological momentary assessment of food craving and intake.

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8.  Intake of energy is best predicted by overeating tendency and consumption of fat is best predicted by dietary restraint: a 4-year follow-up of patients with newly diagnosed Type 2 diabetes.

Authors:  Tatjana Van Strien; Floris A Van de Laar
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9.  The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger.

Authors:  A J Stunkard; S Messick
Journal:  J Psychosom Res       Date:  1985       Impact factor: 3.006

10.  The influence of restrained and external eating patterns on overeating.

Authors:  Pat Burton; Hendrik J Smit; Helen J Lightowler
Journal:  Appetite       Date:  2007-02-11       Impact factor: 3.868

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  4 in total

Review 1.  Neural predictors of eating behavior and dietary change.

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2.  A balance of activity in brain control and reward systems predicts self-regulatory outcomes.

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3.  Multivariate neural signatures for health neuroscience: assessing spontaneous regulation during food choice.

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4.  Brain Activity Associated With Regulating Food Cravings Predicts Changes in Self-Reported Food Craving and Consumption Over Time.

Authors:  Nicole R Giuliani; Danielle Cosme; Junaid S Merchant; Bryce Dirks; Elliot T Berkman
Journal:  Front Hum Neurosci       Date:  2020-11-12       Impact factor: 3.169

  4 in total

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