Abstract
Objective
This study evaluated the association between children's daily negative affect (NA)
trajectories and unhealthy food consumption during weekends using ecological momentary
assessment (EMA).
Design
Children answered mobile phone-based EMA surveys 7 times a day for 2 weekend days
per wave, with each survey assessing current NA and past 2-hour consumption of fried
foods (chips or fries), sweets (pastries or sweets), and sugary beverages (drank soda
or energy drinks).
Setting
Los Angeles, California.
Participants
The sample consisted of 195 children (51% female; mean age, 9.65 years; SD, 0.93)
from the Mothers and Their Children's Health cohort study.
Main Outcomes Measures
Negative affect trajectory (independent variable), unhealthy food consumption (dependent
variable).
Analysis
Latent growth mixture modeling classified NA trajectories across days and examined
their association with unhealthy food consumption.
Results
The latent growth mixture modeling identified 3 classes of daily NA trajectories:
(1) stable low, (2) early increasing and late decreasing and (3) early decreasing
and late increasing. Fried food consumption was higher on early increasing and late
decreasing and early decreasing and late increasing NA trajectories than days with
stable low NA.
Conclusions and Implications
By better understanding day-to-day variability in children's affect and eating, we
can individually tailor obesity interventions to account for the emotional contexts
in which unhealthy eating occurs.
Key Words
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessSNEB Member Login
SNEB Members, full access to the journal is a member benefit. Login via the SNEB Website to access all journal content and features.Subscribe:
Subscribe to Journal of Nutrition Education and BehaviorAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
REFERENCES
- Prevalence of obesity and severe obesity in US children, 1999–2016.Pediatrics. 2018; 141e20173459
- Trends in obesity and severe obesity prevalence in US youth and adults by sex and age, 2007–2008 to 2015–2016.JAMA. 2018; 319: 1723-1725
- The consequences of childhood overweight and obesity.Future Child. 2006; 16: 47-67
- Childhood obesity: causes and consequences.J Family Med Prim Care. 2015; 4: 187-192
- The association between green space and the prevalence of overweight/obesity among primary school children.Int J Occup Environ Med. 2019; 10: 1-10
- Physical environmental correlates of childhood obesity: a systematic review.Obes Rev. 2009; 10: 393-402
- Measured parental weight status and familial socio-economic status correlates with childhood overweight and obesity at age 9.PLoS One. 2012; 7: e43503
- Are “competitive foods” sold at school making our children fat?.Health Aff (Millwood). 2010; 29: 430-435
- Bad eating habits as the main cause of obesity among children.Pediatr Endocrinol Diabetes Metab. 2013; 19: 106-110
- Using the theory of planned behavior to predict two types of snack food consumption among midwestern upper elementary children: implications for practice.Int Q Commun Health Educ. 2011; 32 (–2012): 41-55
- Consumption of specific foods and beverages and excess weight gain among children and adolescents.Health Aff (Millwood). 2015; 34: 1940-1948
- The increasing prevalence of snacking among US children from 1977 to 1996.J Pediatr. 2001; 138: 493-498
- Snacking behaviours of adolescents and their association with skipping meals.Int J Behav Nutr Phys Act. 2007; 4: 36
- Snacking patterns in children: a comparison between Australia, China, Mexico, and the US.Nutrients. 2018; 10: 198
- Determinants of healthy eating in children and youth.Can J Public Health. 2005; 96 (S22–S29): S20-S26
- Tetens I. Differences in Danish children's diet quality on weekdays v. weekend days.Public Health Nutr. 2012; 15: 1653-1660
- Psychological determinants of emotional eating in adolescence.Eat Disord. 2009; 17: 211-224
- Affect asymmetry and comfort food consumption.Physiol Behav. 2005; 86: 559-567
- The Binge-Purge Syndrome: Diagnosis, Treatment, and Research.Springer, 1984
- The aversiveness of specific emotional states associated with binge-eating in obese subjects.Aust N Z J Psychiatry. 1996; 30: 839-844
- Risk and maintenance factors for eating pathology: a meta-analytic review.Psychol Bull. 2002; 128: 825-848
- Salience of loss of control for pediatric binge episodes: does size really matter?.Int J Eat Disord. 2010; 43: 707-716
- Emotion regulation and binge eating in children.Int J Eat Disord. 2009; 42: 356-362
- Associations between latent trait negative affect and patterns of food-intake among girls with loss-of-control eating.Int J Eat Disord. 2020; 53: 618-624
- What's driving the binge in binge eating disorder?: a prospective examination of precursors and consequences.Int J Eat Disord. 2007; 40: 195-203
- Pre-meal affective state and laboratory test meal intake in adolescent girls with loss of control eating.Appetite. 2013; 68: 30-37
- Sweetened drink and snacking cues in adolescents: a study using ecological momentary assessment.Appetite. 2013; 67: 61-73
- Binge/purge thoughts in nonsuicidal self-injurious adolescents: an ecological momentary analysis.Int J Eat Disord. 2013; 46: 684-689
- Aversive tension in female adolescents with Anorexia Nervosa: a controlled ecological momentary assessment using smartphones.BMC Psychiatry. 2016; 16: 97
- Momentary affect, stress coping, and food intake in mother–child dyads.Health Psychol. 2019; 38: 238-247
- Association of usual self-reported dietary intake with ecological momentary measures of affective and physical feeling states in children.Appetite. 2015; 92: 314-321
- Daily patterns of anxiety in anorexia nervosa: associations with eating disorder behaviors in the natural environment.J Abnorm Psychol. 2013; 122: 672-683
- Daily mood patterns and bulimic behaviors in the natural environment.Behav Res Ther. 2009; 47: 181-188
- Internalizing symptoms modulate real-world affective response to sweet food and drinks in children.Behav Res Ther. 2020; 135103753
- The GRoLTS-checklist: guidelines for reporting on latent trajectory studies.Struct Equ Model. 2017; 24: 451-467
- Investigating within-day and longitudinal effects of maternal stress on children's physical activity, dietary intake, and body composition: protocol for the MATCH study.Contemp Clin Trials. 2015; 43: 142-154
- A measure of positive and negative affect for children: scale development and preliminary validation.Psychol Assess. 1999; 11: 326-338
- Relationships among affective states, physical activity, and sedentary behavior in children: moderation by perceived stress.Heal Psychol. 2018; 37: 904-914
- Psychometric properties of the Revised Child Anxiety and Depression Scale in a clinical sample.Behav Res Ther. 2005; 43: 309-322
- Low socioeconomic status and eating in the absence of hunger in children aged 3–14.Appetite. 2020; 154104755
- The early effects of cumulative and individual adverse childhood experiences on child diet: examining the role of socioeconomic status.Prev Med. 2021; 145106447
- A biopsychosocial model of sex differences in children's eating behaviors.Nutrients. 2019; 11: 682
- A review of family and social determinants of children's eating patterns and diet quality.J Am Coll Nutr. 2005; 24: 83-92
- Diet quality of Americans differs by age, sex, race/ethnicity, income, and education level.J Acad Nutr Diet. 2013; 113: 297-306
- Determinants of children's eating behavior.Am J Clin Nutr. 2011; 94: 2006S-2011S
- Determinants of eating behavior: a review focusing on the family.Rev Nutr. 2008; 21: 739-748
- Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes.Alcohol Clin Exp Res. 2000; 24: 882-891
- Longitudinal studies of achievement growth using latent variable modeling.Learn Individ Differ. 1998; 10: 73-101
- Mplus: Statistical Analysis With Latent Variables: User's Guide (Version 8).Muthen & Muthen, 2017
- Trajectories of alcohol use among adolescent boys and girls: identification, validation, and sociodemographic characteristics.Psychol Addict Behav. 2007; 21: 62-75
- An introduction to latent class growth analysis and growth mixture modeling.Soc Personal Psychol Compass. 2008; 2: 302-317
- Covariance pattern mixture models: eliminating random effects to improve convergence and performance.Behav Res Methods. 2020; 52: 947-979
- Latent class modeling with covariates: two improved three-step approaches.Polit Anal. 2010; 18: 450-469
- Estimating the association between latent class membership and external variables using bias-adjusted three-step approaches.Sociol Methodol. 2013; 43: 272-311
- Auxiliary variables in mixture modeling: using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model.Mplus Web Notes. 2014; 21: 1-22
- Auxiliary variables in mixture modeling: three-step approaches using Mplus.Struct Equ Model. 2014; 21: 329-341
- Estimating the dimension of a model.Ann Statist. 1978; 6: 461-464
- Application of model-selection criteria to some problems in multivariate analysis.Psychometrika. 1987; 52: 333-343
- Factor analysis and AIC.Psychometrika. 1987; 52: 317-332
- Model selection and Akaike's Information Criterion (AIC): the general theory and its analytical extensions.Psychometrika. 1987; 52: 345-370
- Clustered patterns of behavioral and health-related variables among young lesbian women.Behav Ther. 2019; 50: 683-695
- Stress, emotional eating behaviour and dietary patterns in children.Appetite. 2012; 59: 762-769
- Do different methods for modeling age-graded trajectories yield consistent and valid results?.AJS. 2015; 120: 1809-1856
- An empirical pooling approach for estimating marketing mix elasticities with PIMS data.Mark Sci. 1993; 12: 103-124
- Reactivity to ecological momentary assessment: an example using undergraduate problem drinkers.Psychol Addict Behav. 2002; 16: 205-211
- An experimental investigation of reactivity to ecological momentary assessment frequency among adults trying to quit smoking.Addiction. 2015; 110: 1549-1560
- Improving convergence in growth mixture models without covariance structure constraints.Stat Methods Med Res. 2021; 30: 994-1012
- The storm and stress of adolescence: insights from human imaging and mouse genetics.Dev Psychobiol. 2010; 52: 225-235
- Understanding the food choice process of adolescents in the context of family and friends.J Adolesc Health. 2006; 38: 575-582
- A field experiment examining mindfulness on eating enjoyment and behavior in children.Mindfulness. 2018; 9: 1748-1756
- Design and methods for “Commit to Get Fit” - a pilot study of a school-based mindfulness intervention to promote healthy diet and physical activity among adolescents.Contemp Clin Trials. 2015; 41: 248-258
- Impact of mindfulness-based eating awareness on diet and exercise habits in adolescents.Int J Complement Altern Med. 2016; 3: 70
Article info
Publication history
Published online: May 27, 2022
Accepted:
February 7,
2022
Footnotes
Conflict of Interest Disclosure: The authors have not stated any conflicts of interest.
Identification
Copyright
© 2022 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.