Identification of Nocturnal Leg Cramps and Affecting Factors in COPD Patients: Logistic Regression and Artificial Neural Network

• Published in: Clinical nursing research 2024-11, Vol.33 (8), p.638-647
• Main Authors: Çuvalci, Burcu, Hintistan, Sevilay, Bülbül, Yilmaz
• Format: Article
• Language: English
• Subjects: Blood; Cardiovascular disease; Chronic obstructive pulmonary disease; Complaints; Coronary artery disease; Diabetes; Food consumption; Medical diagnosis; Milk; Muscle pain; Neural networks; Nurses; Patients; Quality of life; Regression analysis; Reliability
• ISSN: 1054-7738; 1552-3799; 1552-3799
• DOI: 10.1177/10547738241276342

Although there are many sleep-related complaints in chronic obstructive pulmonary disease (COPD) patients, nocturnal leg cramps have not been adequately and extensively studied. This study fills a significant gap in the literature by determining the prevalence and influencing factors of nocturnal leg cramps in COPD patients. However, our findings also underscore the need for further research, inspiring future studies and interventions in this area. This study was conducted with a rigorous methodology, employing a comprehensive approach to evaluate the probability of experiencing nocturnal leg cramps in 215 COPD and 215 control group patients matched for age and gender. Logistic regression analysis was used, supplemented by artificial neural networks, to identify the influencing factors. This robust methodology ensures the reliability and validity of our findings. The findings of this study are not only significant but also enlightening, shedding light on the prevalence and influencing factors of nocturnal leg cramps in COPD patients. The frequency of experiencing these cramps was found to be 40.9% in chronic obstructive pulmonary patients and 21.9% in the control group (p