Time Spent on Instagram and Body Image, Self-esteem, and Physical Comparison Among Young Adults in Spain: Observational Study
Bibliographic record
Abstract
BACKGROUND: Instagram is a social media platform based on photos and videos that encourages interaction and comparison between users. Its growing popularity, especially among young people, has generated interest in the impact its use can have on users´ mental health, specifically on their self-esteem and degree of satisfaction with their own body image. OBJECTIVE: We aimed to analyze the relationships between the use of Instagram, both the hours of daily use and the type of content viewed, and self-esteem, tendency to make physical comparisons, and satisfaction with body image. METHODS: In this cross-sectional study, we recruited 585 participants aged between 18 years and 40 years. Individuals who were interested in participating but had a personal history of eating disorders or had previously been diagnosed with a psychiatric disorder were excluded. The assessment tools consisted of (1) a questionnaire that collected sociodemographic data and Instagram use variables and was created by the research team specifically for this study; (2) the self-esteem scale by Rosenberg; (3) Physical Appearance Comparison Scale-Revised (PACS-R); and (4) Body Shape Questionnaire (BSQ). The recruitment and evaluation processes were carried out in January 2021. RESULTS: Of the participants, 234 (234/585, 40%) used Instagram less than 1 hour a day, 303 (303/585, 51.8%) used Instagram between 1 hour and 3 hours a day, and 48 participants (48/585, 8.2%) used it more than 3 hours per day. We found statistically significant differences (P<.05) between the 3 groups in the scores obtained on the self-esteem test by Rosenberg, PACS-R, and BSQ. Participants who spent more time on Instagram had higher levels of body dissatisfaction, greater comparisons of physical appearance, and lower self-esteem. Moreover, we analyzed the relationship between the score obtained on the different scales and the types of content viewed, with no differences between those who mainly viewed professional content and those who primarily consumed fashion and beauty or sport and nutrition content. CONCLUSIONS: The results of this study indicate that the use of Instagram is associated with poorer body image satisfaction and self-esteem, mediated by the tendency to compare physical appearance in relation to the daily duration of Instagram use.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".