A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Sleep Status and Chronotype in University Athletes with and without Chronic Low Back Pain: A Cross-Sectional Study. | LitMetric

AI Article Synopsis

  • The study explored the sleep, chronotype, and related factors in university athletes, comparing those with chronic low back pain (CLBP) to healthy athletes.
  • It found that athletes with CLBP had higher sleep difficulty scores and showed a preference for evening chronotype, indicating poorer sleep patterns.
  • While there was a correlation between CLBP, sleep difficulties, and chronotype, neither sleep difficulty scores nor chronotype were effective predictors of CLBP.

Article Abstract

 This study aimed to evaluate the status of sleep, chronotype, and related variables of university athletes with and without chronic low back pain (CLBP), to find the correlation between CLBP, sleep difficulty score (SDS), and chronotype, and to determine if SDS and chronotype predict CLBP.  Ninety-two university athletes [46 with CLBP (Age: 22.08±2.74 years) and 46 healthy athletes (Age: 22.32±3.11 years) completed the athlete sleep screening questionnaire (ASSQ), also, their demographic, anxiety, depression, and sports-related details were collected. A Pearson correlation and logistic regression models (univariate and multivariate) were used for the statistical analysis.  The results demonstrated a higher SDS and evening type preference in CLBP athletes, a significant negative correlation between CLBP and chronotype (r = -0.40, <0.01), a significant correlation between SDS and CLBP (r = 0.25,  = 0.01). SDS and chronotype were not found to be significant independent predictors of CLBP.  This study concludes that there exists a correlation of CLBP, SDS, and chronotype However, despite the relationship, SDS and chronotype cannot predict CLBP.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11651866PMC
http://dx.doi.org/10.1055/s-0044-1782177DOI Listing

Publication Analysis

Top Keywords

university athletes
12
athletes chronic
8
chronic low
8
low pain
8
correlation clbp
8
sds chronotype
8
clbp
6
chronotype
5
athletes
5
sleep
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!