Evidence map›Paper›PMID 38774077›Full record

ArticleHeliyon2024

Explore athletes' sports attitude and its influence on mental health.

Xin Chen

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

1 author.

Xin ChenParty School of Changzhou Wujin District Committee of the Communist Party of China, 213000, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study is devoted to exploring how athletes' sports attitude affects their mental health, and explores this complex relationship through descriptive statistics, longitudinal analysis, correlation analysis and regression analysis. The research sample includes athlete data at multiple time points, covering mental health indicators such as positive attitude, negative attitude, anxiety, depression and self-esteem. Descriptive statistical results reveal the overall trend of athletes in positive attitude, anxiety, depression and self-esteem. On average, athletes show a positive attitude towards sports, but there are some variability in mental health indicators. The results of longitudinal analysis show that with the progress of the season, the positive attitude shows an upward trend, while the level of anxiety and depression shows a downward trend in some cases, which provides a detailed observation for the long-term evolution of athletes' psychological state. Correlation analysis reveals the positive correlation between positive attitude and self-esteem, positive correlation between negative attitude and anxiety, and negative correlation between teamwork attitude and depression. Regression analysis further verified the influence of positive attitude and negative attitude on anxiety. The results emphasize that the improvement of positive attitude may help to slow down the increase of anxiety level, while the increase of negative attitude may be related to the increase of anxiety. Generally speaking, the findings of this study highlight the complex relationship between athletes' mental health and their attitude towards sports. This study provides profound insights for formulating targeted psychological support strategies and emphasizes the importance of comprehensively considering multi-dimensional factors in athletes' mental health management.

Indexed as

AthletesCorrelation analysisLongitudinal analysisMental healthRegression analysisSports attitude

Identifiers

PMID38774077
PMCPMC11107100

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.