Literature DB >> 35065981

Using apps to self-monitor diet and physical activity is linked to greater use of disordered eating behaviors among emerging adults.

Samantha L Hahn1, Vivienne M Hazzard2, Katie A Loth3, Nicole Larson4, Laura Klein5, Dianne Neumark-Sztainer6.   

Abstract

Use of weight-related self-monitoring (WRSM) apps is common among emerging adults, as are weight and shape concerns. The present study aimed to examine (1) whether emerging adult use of dietary-focused (e.g., MyFitnessPal) and physical activity-focused (e.g., Fitbit) WRSM apps was associated with weight-control and muscle-building behaviors, including commonly recommended/conventional behaviors and disordered behaviors and (2) whether prior use of weight-control and muscle-building behaviors in adolescence might explain such relationships. Data were collected as part of the EAT (Eating and Activity over Time) 2010-2018 study (n = 1446) and analyzed using gender-stratified logistic regression models adjusted for demographic characteristics and body mass index. Among women and men, physical activity- and dietary-focused app use were associated with greater adjusted prevalence of disordered weight-control behaviors (e.g., fasting, purging), and disordered muscle-building behaviors (e.g., using steroids). Physical activity- and dietary-focused app use were also associated with a higher adjusted prevalence of commonly recommended weight-control and conventional muscle-building behaviors (e.g., exercising, changing eating habits), but only among those who were also engaging in disordered behaviors. The observed associations remained statistically significant in models that further adjusted for adolescent use of the respective behaviors. Findings suggest that emerging adults who use physical activity- and dietary-focused WRSM apps are more likely to engage in disordered weight-control and muscle-building behaviors and that associations are not explained by engagement in these behaviors during adolescence. Future research is needed to examine if there are aspects of WRSM apps that could be modified to reduce potential harm.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Disordered eating; Emerging adults; Epidemiology; Muscle-building; Prevention; Self-monitoring; Weight-control

Mesh:

Year:  2022        PMID: 35065981      PMCID: PMC8832499          DOI: 10.1016/j.ypmed.2022.106967

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  31 in total

1.  Monitoring eating and activity: Links with disordered eating, compulsive exercise, and general wellbeing among young adults.

Authors:  Carolyn R Plateau; Sarah Bone; Emily Lanning; Caroline Meyer
Journal:  Int J Eat Disord       Date:  2018-12-03       Impact factor: 4.861

2.  Fast food consumption and breakfast skipping: predictors of weight gain from adolescence to adulthood in a nationally representative sample.

Authors:  Heather M Niemeier; Hollie A Raynor; Elizabeth E Lloyd-Richardson; Michelle L Rogers; Rena R Wing
Journal:  J Adolesc Health       Date:  2006-09-27       Impact factor: 5.012

Review 3.  Review of inverse probability weighting for dealing with missing data.

Authors:  Shaun R Seaman; Ian R White
Journal:  Stat Methods Med Res       Date:  2011-01-10       Impact factor: 3.021

4.  Calorie counting and fitness tracking technology: Associations with eating disorder symptomatology.

Authors:  Courtney C Simpson; Suzanne E Mazzeo
Journal:  Eat Behav       Date:  2017-02-09

5.  Effect of nutrition labels on dietary quality among college students: a systematic review and meta-analysis.

Authors:  Mary J Christoph; Ruopeng An
Journal:  Nutr Rev       Date:  2018-03-01       Impact factor: 7.110

6.  My fitness pal usage in men: Associations with eating disorder symptoms and psychosocial impairment.

Authors:  Jake Linardon; Mariel Messer
Journal:  Eat Behav       Date:  2019-02-10

Review 7.  Adverse health effects of androgen use.

Authors:  Anna Goldman; Shehzad Basaria
Journal:  Mol Cell Endocrinol       Date:  2017-06-09       Impact factor: 4.102

8.  Changes in the frequency of family meals from 1999 to 2010 in the homes of adolescents: trends by sociodemographic characteristics.

Authors:  Dianne Neumark-Sztainer; Melanie Wall; Jayne A Fulkerson; Nicole Larson
Journal:  J Adolesc Health       Date:  2012-08-20       Impact factor: 5.012

9.  Prevalence and correlates of muscle-enhancing behaviors among adolescents and young adults in the United States.

Authors:  Jason M Nagata; Kyle T Ganson; Scott Griffiths; Deborah Mitchison; Andrea K Garber; Eric Vittinghoff; Kirsten Bibbins-Domingo; Stuart B Murray
Journal:  Int J Adolesc Med Health       Date:  2020-06-05

10.  Relationships between patterns of weight-related self-monitoring and eating disorder symptomology among undergraduate and graduate students.

Authors:  Samantha L Hahn; Katherine W Bauer; Niko Kaciroti; Daniel Eisenberg; Sarah K Lipson; Kendrin R Sonneville
Journal:  Int J Eat Disord       Date:  2021-01-05       Impact factor: 4.861

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