Evidence map›Paper›PMID 36829322›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

Academics-Athletics Conflict and College Athletes' Well-Being: The Mediating Effect of Negative Emotions and the Moderating Effect of Life Motivation.

Wujun Sun, Lei Liu, Yuan Jiang, Ping Fang, Xiaosheng Ding, Guangjun Wang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wujun SunFaculty of Education, Henan Normal University, Xinxiang 453007, China.
Lei LiuSchool of Labor and Human Resources, Renmin University of China, Beijing 100872, China.
Yuan JiangDepartment of Psychology, Beijing Sport University, Beijing 100084, China.
Ping FangDepartment of Psychology, Capital Normal University, Beijing 100048, China.
Xiaosheng DingFaculty of Education, Henan Normal University, Xinxiang 453007, China.
Guangjun WangDepartment of Physical Education, Beijing Union University, Beijing 100101, China.ORCID 0000-0002-5421-5416

Funding

National Natural Science Foundation of China 72174055
6 · The paper itself

Abstract

For college athletes who perform dual roles (student and athlete), the academics-athletics conflict is inevitable in daily life. Although existing studies have focused on the adverse effects of this conflict on the well-being of college athletes, they have not yet determined the underlying mechanism and effective measures to alleviate it. To explore the underlying mechanism of academics-athletics conflict, which affects the well-being of college athletes, we constructed a moderated mediating model to examine the critical role of negative emotions and life motivation in the relationship between them. The study randomly selected 802 college athletes from China to examine the relationships between academics-athletics conflict, negative emotions, eudaimonic motives, hedonic motives, and life satisfaction. The results showed that (1) negative emotions played an important mediating role between academics-athletics conflict and college athletes' life satisfaction, with more than 79% of the effect of academics-athletics conflict being achieved through negative emotions. (2) Eudaimonic motives significantly moderated the first half of the mediation path of negative emotions between academics-athletics conflict and life satisfaction. Individuals with high eudaimonic motives experienced fewer negative emotions in the medium and weak conflict conditions. (3) Hedonic motives had a significant moderating effect on the second half of the mediation path. Individuals with high hedonic motives had greater life satisfaction across negative emotion conditions. This study provides important insights for a comprehensive understanding and in-depth study of the relationship between conflict and the well-being of college athletes, as well as a reference for the quality-of-life enhancement and motivation development for college athletes.

Indexed as

academics–athletics conflicteudaimonic motiveshedonic motiveslife satisfactionnegative emotions

Identifiers

PMID36829322
PMCPMC9952278

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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.