Evidence map›Paper›PMID 40462172›Full record

ArticleBMC sports science, medicine & rehabilitation2025

Exploring emotions and perspectives of families with autism spectrum disorder individuals on sports participation: a case study on Weibo using machine learning method.

Shan He, Fengshi Jing, Hao Ren, Yanning Xiao, Xia Sebastiane Chen, Ruihong Tang, Yue Qiu, Junwei Zeng, Tianyu Gao, Junhao Huang

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In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2025. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Shan He *School of Physical Education, Guangdong University of Technology, Guangzhou, 510006, China.
Fengshi JingFaculty of Data Science, City University of Macau, Taipa, Macao SAR, 999078, China. fengshi.jing@my.cityu.edu.hk.
Hao Ren *Institute for Healthcare Artificial Intelligence Application, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, 510317, China.
Yanning XiaoInstitute of Physical Education, Sichuan University, Chengdu, 610065, China.
Xia Sebastiane ChenPsychology Department, University of Wisconsin, Milwaukee, WI, USA.
Ruihong TangDepartment of Health and Physical Education, The Education University of Hong Kong, Hong Kong SAR, China.
Yue QiuFaculty of Liberal Arts and Social Sciences, The Education University of Hong Kong, Hong Kong SAR, China.
Junwei ZengSchool of Physical Education, Guangdong University of Technology, Guangzhou, 510006, China.
Tianyu GaoSchool of Physical Education, Jinan University, Guangzhou, China.
Junhao HuangGuangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, 510500, China. junhaohuang2006@hotmail.com.

Funding

Guangzhou Municipal Science and Technology Project 2024B03J0821, 2024A03J074Science and Technology Development Fund (FDCT) of the Macao Special Administrative Region 0024/2024/EIA2
6 · The paper itself

Abstract

backgroundPhysical activity is known to have numerous benefits for individuals with autism spectrum disorder (ASD). Understanding family sentiments towards ASD sports participation is crucial for developing interventions that promote physical activity. This study aimed to explore the sentiments of families regarding sports participation for individuals with ASD using longitudinal data from Weibo, a popular Chinese social media platform.

objectiveThis study investigates family sentiments and attitudes toward sports participation by ASD individuals, leveraging longitudinal data from Sina Weibo and machine learning-based sentiment analysis.

methodsWe collected Weibo posts containing the keyword "autism" from January 2020 to April 2023, filtered for sports‑related content, and divided the dataset into ten four‑month intervals. Using SnowNLP's Naive Bayes-based sentiment classifier, we labeled each post as positive or negative and analyzed temporal trends.

resultsPositive sentiments toward sports participation far outnumbered negative sentiments, and the proportion of supportive posts increased steadily over the study period, reflecting growing recognition of sports' role in enhancing well‑being and development among ASD individuals.

conclusionFamilies of ASD individuals increasingly acknowledge the multifaceted benefits of physical activity. These insights can guide the design of targeted interventions and inclusive sports programs, ultimately fostering greater participation and improving quality of life within the ASD community.

Indexed as

Autism spectrum disorderPhysical activitySentiment analysisSocial media data analysisSports participation

Identifiers

PMID40462172
PMCPMC12131572

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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.