Chronic musculoskeletal pain is widespread in the working population and leads to muscular fatigue, reduced work capacity, and fear of movement. While ergonomic intervention is the traditional approach to the problem, physical exercise may be an alternative strategy. This secondary analysis of a randomized controlled trial investigates the effect of strength training on muscular fatigue resistance and self-rated health among workers with chronic pain. Sixty-six slaughterhouse workers with chronic upper limb pain and work disability were randomly allocated to 10 weeks of strength training or usual care ergonomic training (control). At baseline and follow-up, participants performed a handgrip muscular fatigue test (time above 50% of maximal voluntary contraction force) with simultaneous recording of electromyography. Additionally, participants replied to a questionnaire regarding self-rated health and pain. Time to fatigue, muscle strength, hand/wrist pain, and self-rated health improved significantly more following strength training than usual care (all < 0.05). Time to fatigue increased by 97% following strength training and this change was correlated to the reduction in fear avoidance (Spearman's rho = -0.40; = 0.01). In conclusion, specific strength training improves muscular fatigue resistance and self-rated health and reduces pain of the hand/wrist in manual workers with chronic upper limb pain. This trial is registered with ClinicalTrials.gov NCT01671267.
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http://dx.doi.org/10.1155/2016/4137918 | DOI Listing |
Alzheimers Dement
December 2024
Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia.
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December 2024
Institute of Digital Anti-Aging Healthcare, Inje University, Gimhae, Korea.
This study aimed to investigate the effects of a foam roller-based combined exercise program on functional fitness, balance ability, and gait in women aged 65 years and older. Using a 2×2 mixed design, the study compared variables measured before and after a 6-week foam roller-based combined exercise program. A total of 32 old women were randomly assigned to either the foam roller-based exercise group or the control group.
View Article and Find Full Text PDFJ Exerc Rehabil
December 2024
Department of Physical Education, Kunsan National University, Gunsan, Korea.
To examine the changes in obesity-related hormones and metabolic syndrome markers in male high school students with obesity following a weekend-focused moderate- or high-intensity exercise program at the recommended weekly physical activity level, or a program of regular exercise 3 times a week at moderate intensity, over a 10-week period. Forty-eight male high school students who were obese with a body fat percentage of ≥25% were randomly assigned to one of three groups: a regular moderate-intensity exercise group (n=17) that freely selected and performed moderate-intensity aerobic and resistance training exercises, every Monday, Wednesday, and Friday, for a total of 150-300 min/wk; a weekend-focused moderate-intensity exercise group (n=15) that freely selected and performed aerobic and resistance training exercises every Saturday for 150-300 min; and a week-end-focused high-intensity exercise group (n=16) that freely selected and performed aerobic and resistance training exercises every Sunday for 75-150 min. Insulin and leptin levels significantly decreased in all the groups, with the greatest reduction in the regular exercise group.
View Article and Find Full Text PDFJ Poult Sci
January 2025
College of Veterinary Medicine & Institute for Veterinary Biomedical Science, Kyungpook National University, Daegu 41556, Republic of Korea.
Farm biosecurity is valuable for reducing the indiscriminate use of antimicrobials. However, its relationship with antimicrobial usage can be difficult to assess because of multiple factors. This study evaluated the impact of biosecurity practices on productivity, frequency of antimicrobial use, and development of antimicrobial resistance.
View Article and Find Full Text PDFCureus
December 2024
Pediatrics Department, Khyber Teaching Hospital, Peshawar, PAK.
Background Artificial intelligence (AI) is revolutionizing healthcare globally by enhancing diagnostic accuracy, predicting patient outcomes, and enabling personalized treatment plans. However, in low- and middle-income countries (LMICs) like Pakistan, the integration of AI into healthcare is limited due to challenges such as lack of funding, provider resistance, and inadequate training. Despite these barriers, there is growing interest among healthcare providers in understanding and adopting AI technologies to improve professional efficiency.
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