Evidence map›Paper›PMID 39619862›Full record

ArticleHealth psychology report2024

Exploring social media appearance preoccupation in relation to self-esteem, well-being, and mental health.

Rosa Angela Fabio, Rosa Tripodi

Abstract read
In one paragraph

Article in Health psychology report, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Rosa Angela FabioDepartment of Cognitive Science, University of Messina, Messina, Italy.ORCID https://orcid.org/0000-0001-7065-1528
Rosa TripodiDepartment of Economics, University of Messina, Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media platforms have become integral to modern society, facilitating diverse content interactions for individuals. The widespread use of social media has sparked intriguing inquiries into its impact on self-perception and individual well-being. This study investigated the phenomenon of social media appearance preoccupation and its complex relationship with psychosocial factors such as self-esteem, well-being, appearance-related anxiety, depression, and anxiety, considering both the rich-get-richer hypothesis and the poor-get-richer hypothesis. PARTICIPANTS AND PROCEDURE: A sample of 401 Italian participants, aged 18 to 54, completed the demographic questionnaire, the Social Media Appearance Preoccupation Scale (SMAPS), the Rosenberg Self-Esteem Scale (SES), the Psychological General Well-Being Index (PGWBI), the Beck Depression Inventory II (BDI-II), and the State-Trait Anxiety Inventory Y2 (STAI-Y2).

resultsThe results suggest a complex relationship between psychosocial factors and social media appearance preoccupation (SMAP). While higher levels of self-esteem and well-being were associated with lower levels of SMAP, indicating a protective effect against appearance preoccupation on social media, there was a positive correlation between appearance-related anxiety, leisure hours of media use, and SMAP.

conclusionsThese findings underscore the multifaceted nature of SMAP and its associations with various psychosocial factors. Overall, these results provide partial support for the theory of the poor-get-richer hypothesis, suggesting that individuals experiencing heightened levels of appearance-related anxiety may turn to social media as a coping mechanism, potentially exacerbating their psychological distress.

Indexed as

anxietyappearance preoccupationdepressionpoor-get-richer hypothesisrich-get-richer hypothesisself-esteemsocial mediawell-being

Identifiers

PMID39619862
PMCPMC11604160

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Registered trials

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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.