Evidence map›Paper›PMID 39156302›Full record

ArticleCureus2024

From Likes to Lifestyle: Predicting the Impact of Following Fitness Influencers on the Adoption of Healthy Habits in Saudi Arabia.

Najim Z Alshahrani, Abdulrahman M Albeshry, Mohamed Terra, Mohamed Baklola, Mohammed Yahya Al Alshaei, Ali Yahya Al Alshahi

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Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Najim Z AlshahraniDepartment of Family and Community Medicine, Faculty of Medicine, University of Jeddah, Jeddah, SAU.
Abdulrahman M AlbeshryDepartment of Family and Community Medicine, Faculty of Medicine, University of Jeddah, Jeddah, SAU.
Mohamed TerraFaculty of Medicine, Mansoura University, Mansoura, EGY.
Mohamed BaklolaPublic Health, Mansoura University, Mansoura, EGY.
Mohammed Yahya Al AlshaeiCollege of Medicine, Najran University, Najran, SAU.
Ali Yahya Al AlshahiCollege of Medicine, Najran University, Najran, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing popularity of fitness influencers on social media has the potential to significantly impact public health by promoting healthy behaviors. Understanding how these influencers affect the adoption of healthy habits among Saudi residents can provide insights into effective public health strategies.

objectiveThis study aims to quantitatively assess the influence of following fitness influencers on social media on adopting healthy behaviors among Saudi residents, focusing on socio-demographic factors, characteristics of influencers, and participants' perceptions.

methodsA descriptive, cross-sectional study with an analytical component was carried out from March 25, 2023, to August 15, 2023. The study included Saudi residents aged 18 and older who actively follow fitness influencers. Data was gathered through an online questionnaire and analyzed using descriptive statistics, Pearson's chi-square test, and logistic regression analyses to identify factors associated with positive health outcomes.

resultsThe study included 561 participants, revealing that marital status and residential region significantly influenced the adoption of healthy habits, with married participants and those from the Southern and Central regions more likely to report positive outcomes. Notably, engagement in physical activity more than three times a week and adherence to a healthy diet were strongly associated with positive health outcomes (p<0.05). Analysis of influencer characteristics showed that following fewer than 10 influencers and being unaware of their follower count were predictors of positive results with p<0.05. Specifically, 76.6% of participants experienced positive results after following health advice from social media, highlighting the impactful yet complex role of influencers in shaping health behaviors. Logistic regression analyses underscored the significance of socio-demographic factors, influencer characteristics, and participant perceptions in predicting the likelihood of experiencing positive health outcomes.

conclusionFollowing fitness influencers on social media can positively impact the adoption of healthy habits, moderated by socio-demographic factors and influencer characteristics.

Indexed as

eating habitsfitness influencershealth behaviorsnutritionpublic healthsaudi arabiasocial media

Identifiers

PMID39156302
PMCPMC11328889

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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.