ArticleEating behaviors2021
Relationships between patterns of technology-based weight-related self-monitoring and eating disorder behaviors among first year university students.
Article in Eating behaviors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic search and review focusing on the influence of health-tracking technologies on eating habits and attitudes.Journal of health psychology · 2026Pooled it
- Associations Between the Use of Fitness and Diet Tracking Technology and Disordered Eating Behaviour: A Systematic Review.European eating disorders review : the journal of the Eating Disorders Association · 2025Pooled it
- Introducing Dietary Self-Monitoring to Undergraduate Women via a Calorie Counting App Has No Effect on Mental Health or Health Behaviors: Results From a Randomized Controlled Trial.Journal of the Academy of Nutrition and Dietetics · 2021Trial
- Impacts of dietary self-monitoring via MyFitnessPal to undergraduate women: A qualitative study.Body image · 2021Trial
- Calorie tracking and energy balance: links to body image-related factors and functional impairment in a fitness sample.Frontiers in nutrition · 2026Article
- Prevalence and predictors of disordered eating behaviors: a cross-sectional study across 15 campuses in the Saudi electronic university.Journal of eating disorders · 2025Article
- Article
- Corrigendum to "Behaviour change techniques, intervention features and usability of diet apps" [Prevent. Med. Rep. 54 (2025) 103085].Preventive medicine reports · 2025Article
- Emerging Adults Report Internal, External, and Social/Environmental Motivations for Weight-Related Self-Monitoring Application Use.Journal of nutrition education and behavior · 2025Article
- Behaviour change techniques, intervention features and usability of diet apps.Preventive medicine reports · 2025Article
- A mixed-methods longitudinal examination of weight-related self-monitoring and disordered eating among a population-based sample of emerging adults.Journal of eating disorders · 2024Article
- Risk Factors for Eating Disorders in University Students: The RUNEAT Study.Healthcare (Basel, Switzerland) · 2024Article
- Identifying methods used to manage weight and shape by first year university students: A qualitative analysis.Eating behaviors · 2024Article
- Mobile Food Tracking Apps: Do They Provoke Disordered Eating Behavior? Results of a Longitudinal Study.Psychology in Russia : state of the art · 2024Article
- Predictors of Food and Physical Activity Tracking Among Young Adults.Health education & behavior : the official publication of the Society for Public Health Education · 2023Article
- Commercial mHealth Apps and Unjust Value Trade-offs: A Public Health Perspective.Public health ethics · 2022Article
- Correlates of weight-related self-monitoring application use during emerging adulthood in a population-based sample.Eating and weight disorders : EWD · 2022Article
- Digital technology use and muscle-building behaviors in young adults.The International journal of eating disorders · 2022Article
- Using apps to self-monitor diet and physical activity is linked to greater use of disordered eating behaviors among emerging adults.Preventive medicine · 2022Article
- Weight-related Self-monitoring App Use Among Emerging Adults is Cross-sectionally Associated With Amount and Type of Physical Activity and Screen Time.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveTo identify patterns of technology-based weight-related self-monitoring (WRSM) and assess associations between identified patterns and eating disorder behaviors among first year university students.
methodsFirst year university students (n = 647) completed a web-based survey to assess their use of technology-based WRSM and eating disorder behaviors. The cross-sectional data were analyzed using gender-stratified latent class analysis to identify patterns of WRSM, followed by logistic regression to calculate the predicted probability of eating disorder behaviors for each pattern of WRSM.
resultsTechnology-based WRSM is common among first year university students, with patterns of WRSM differing by student gender. Further, unique patterns of WRSM were associated with differing probability of engaging in eating disorder behaviors. For example, compared to the 67.0% of females who did not use technology-based WRSM, females engaging in high amounts of technology-based WRSM (33.0%) were more likely to report fasting, skipping meals, excessively exercising, and using supplements. Among males, those who reported all forms of WRSM (9.5%) were more likely to report fasting, skipping meals, purging, and using supplements but those who only used exercise self-monitoring (11.9%) did not have increased likelihood of eating disorder behaviors.
conclusionsUsing multiple forms of technology-based WRSM is associated with increased likelihood of engaging in eating disorder behaviors among both female and male, first year university students. Assessing technology-based WRSM may be a simple method to screen for elevated eating disorder risk among first year students.
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