ArticleJournal of medical Internet research2019
Sociodemographic, Attitudinal, and Behavioral Correlates of Using Nutrition, Weight Loss, and Fitness Websites: An Online Survey.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Relationship between Body Image and Body Weight Control in Overweight ≥55-Year-Old Adults: A Systematic Review.International journal of environmental research and public health · 2019Pooled it
- Development and validation of a tool for detecting misinformation risk in diet, nutrition, and health content (Diet-MisRAT).Scientific reports · 2026Article
- Body Size Perceptions Associated with Body Mass Index and Weight Loss Intentions Among Two Immigrant Populations.Journal of racial and ethnic health disparities · 2025Article
- Relationships among nutrition knowledge level, healthy eating obsessions, body image, and social media usage in females: a cross-sectional study.BMC public health · 2025Article
- Uncovering the Top Nonadvertising Weight Loss Websites on Google: A Data-Mining Approach.JMIR infodemiology · 2024Article
- Prevalence and Correlates of Dietary and Nutrition Information Seeking Through Various Web-Based and Offline Media Sources Among Japanese Adults: Web-Based Cross-Sectional Study.JMIR public health and surveillance · 2024Article
- Intermittent fasting: consider the risks of disordered eating for your patient.Clinical diabetes and endocrinology · 2023Article
- Eating disorder risks and awareness among female elite cyclists: an anonymous survey.BMC sports science, medicine & rehabilitation · 2022Article
- Evaluation of Web-Based Health Information From the Perspective of Women With Eating Disorders: Thematic Analysis.Journal of medical Internet research · 2022Article
- Eating disorders with over-exercise: A cross-sectional analysis of the mediational role of problematic usage of the internet in young people.Journal of psychiatric research · 2021Article
- Expressions of Individualization on the Internet and Social Media: Multigenerational Focus Group Study.Journal of medical Internet research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNutrition, diet, and fitness are among the most searched health topics by internet users. Besides that, health-related internet users are diverse in their motivations and individual characteristics. However, little is known about the individual characteristics associated with the usage of nutrition, weight loss, and fitness websites.
objectiveThe aim of this study was to examine the individual factors associated with the usage of nutrition, weight loss, and fitness websites.
methodsAn invitation to an online survey was published on 65 websites and discussion forums. In total, we employed data from 623 participants (aged 13 to 39 years, mean 24.11 [SD 5.26]). The measures included frequency of usage of nutrition, weight loss and fitness websites, excessive exercise, eating disorder symptomatology, internalization of the beauty ideal, weight status, and perceived online social support. Participants' data were used as predictors in a base linear regression model.
resultsThe final model had an acceptable fit (χ
conclusionsThe results highlighted the importance of individual differences in the usage of health-related websites.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.