WeChat Mini Program
Old Version Features

“I Found Comfort in Exercising”: Exploring Experiences with Exercise for Adults with Attention-Deficit/Hyperactivity Disorder

Adapted physical activity quarterly APAQ(2024)

Kings Coll London

Cited 0|Views1
Abstract
Little is known about how adults with attention-deficit/hyperactivity disorder (ADHD) experience exercise, resulting in a lack of recommendations for supporting this population. We aimed to explore how adults with ADHD experience exercise as a management tool before and after diagnosis and how and why individuals experience issues related to exercise dependence. Fifteen active adults with a diagnosis of ADHD participated in semistructured interviews. Three overarching themes were identified: (a) exercise as a necessity for ADHD, reflecting the need to exercise before a formal ADHD diagnosis, and use of exercise as a management tool postdiagnosis; (b) goals and achievements to live by, reflecting how exercise patterns revolved around a need to make progress toward targets; and (c) activity or exercise: a roller coaster journey, covering the ups and downs of exercise journeys. This article highlights the importance of exercise for adults to manage ADHD and how this can be encouraged and supported.
More
Translated text
Key words
ADHD,dependence,symptom management,lived experience,neurodiversity
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined