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

Autor:	Çuvalci, Burcu, Hintistan, Sevilay, Bülbül, Yilmaz
Předmět:	RISK assessment CROSS-sectional method STATISTICAL correlation STATISTICAL power analysis PREDICTION models RESEARCH funding PATIENTS CREATININE ACADEMIC medical centers T-test (Statistics) FOOD consumption ERYTHROCYTES ARM SKELETAL muscle LOGISTIC regression analysis RESEARCH evaluation FISHER exact test QUESTIONNAIRES DAIRY products DESCRIPTIVE statistics CHI-squared test MANN Whitney U Test DISEASE prevalence OBSTRUCTIVE lung diseases ARTIFICIAL neural networks RESEARCH methodology RESEARCH QUALITY of life MUSCLE cramps CORONARY artery disease DATA analysis software CONFIDENCE intervals COMPARATIVE studies SLEEP disorders DIABETES XANTHINE COMORBIDITY DISEASE risk factors
Zdroj:	Clinical Nursing Research; Nov2024, Vol. 33 Issue 8, p638-647, 10p
Abstrakt:	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 <.05). In COPD patients, factors such as milk group food consumption, blood erythrocyte level, the cover used while sleeping, blood creatinine level, the presence of coronary artery disease, the diagnosis of diabetes mellitus, the upper mid-arm muscle area, and use of drugs with methylxanthine active ingredient methylxanthine were found to affect the occurrence of these cramps. Our findings not only call for further research but also have immediate practical implications. They highlight the crucial role of nurses in managing nocturnal leg cramps in COPD patients. By controlling patients' cold stress, the bed covers they use, and their dairy product consumption, nurses can significantly contribute to managing these cramps, thereby improving the quality of life for these patients. This underscores the importance of their role in patient care and management. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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