Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 5Impact of Technology on AdolescentsCyberloafing and Workplace BehaviorBody Image and Dysmorphia Studies

The DOI matches its DataCite record.

DO SPORTS, TAKE PHOTO AND SHARE: PHUBBING, SOCIAL MEDIA ADDICTION AND NARCISISM OF BODY BUILDERS

Open access
Argan, Metin, Köse, Hüseyin, Özgen, Caner, Belkıs Yalınkaya·2019·Zenodo

Abstract

Although mobile phone addiction is rapidly spreading, there are few studies available in the literature on social and cultural impacts of this addiction. The concept of Phubbing is defined as individuals escaping interpersonal communication by dealing their mobile phones. In line with this information, the aim of the research is to determine the relationships between phubbing, social media addiction and narcissism structures of individuals who are interested in various levels of bodybuilding. Convenience sampling method were used to reach 319 individuals who are interested in various levels of bodybuilding. The data obtained in accordance with the objectives of the research were analyzed with two-step approach in the light of the basic principles of structural equation modeling. In this respect, confirmatory factor analysis and various validity reliability analyzes proposed by the literature were applied to the research data via AMOS22 package program. Following the validation of the research model, the structural model was tested in order to explore the relationships between the structures. As a result of the analyzes performed within the scope of the measurement model, the model was found to be valid and reliable. As a result of the analyzes performed within the scope of the measurement model, the model was found to be valid and reliable. By testing the structural model researchers found positive relationships between bodybuilding athletes' phubbing, social media loyalty and narcissism levels. The findings obtained from the research have made important contributions to the developing phubbing literature. It can be stated that bodybuilding is affected by tendencies towards social media platforms. This study sheds light on the discussions about future research.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

DataCite · 10.5281/zenodo.3242601

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Authors
Argan, M., Köse, H., Özgen, C., & Yalınkaya, B.
Venue
Zenodo
Publisher
Zenodo
Published
2019-06-10
OpenAlex
W6968343623
Cited by
5
References
0
Citations by year
2025: 1 · 2023: 2 · 2022: 1 · 2021: 1
FWCI
1.01
Type
journal article
Language
en
Open access
Locations
  • Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
  • Zenodo (CERN European Organization for Nuclear Research) (cc-by)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Cyberloafing and Workplace Behavior
  • Social Sciences › Psychology › Clinical Psychology › Body Image and Dysmorphia Studies
Keywords
phubbing, social media addiction, narcissism, bodybuilders, mobile phone addiction, bodybuilding athletes, interpersonal communication

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.