Wearable technology data-based sleep and chronic disease relationship

Authors : Suayip BIRINCI

Pages : 271-278

Doi:10.5472/marumj.1367367

View : 28 | Download : 48

Publication Date : 2023-09-29

Article Type : Research Paper

Abstract :Objective: The aim of the study was to examine the cross-sectional relationship between sleep duration and 12 chronic diseases insert ignore into journalissuearticles values(obesity risk, diabetes, asthma, renal failure, hypertensive diseases, chronic obstructive pulmonary disease, cardiovascular diseases, ischaemic heart disease, pulmonary heart disease, immunodeficiencies and immune system disorders); by transferring the data to the national electronic patient record system through wearable device technology. Materials and Methods: The data of the study were obtained from the Ministry of Health “Turkey National Personal Health Record System” insert ignore into journalissuearticles values(The “e-Nabız”);. Between 30.03.2023 and 28.05.2023, 315448 data from 27847 people insert ignore into journalissuearticles values(15167 male); were collected and analysed on the basis of province, rural status, age group, gender and presence of chronic diseases and average, minimum insert ignore into journalissuearticles values(min);, maximum insert ignore into journalissuearticles values(max); sleep duration. Descriptive statistics, chi-square analysis, Independent Samples t-Test, One-way Analysis of Variance and Pearson’s correlation coefficient were used. Results: The max. and average sleep duration were significantly shorter in men. Max. sleep duration decreased while the average sleep duration increased with increasing age. Participants with asthma, chronic renal failure and cerebrovascular diseases had decreased average sleep duration. The frequency of those who slept for 7-8 hours, which is the ideal sleep duration, is lower in all chronic diseases. Conclusion: Most of the common chronic diseases may affect the sleep duration times and quality, which may further affect the prognosis of these patients.
Keywords : Sleep duration, Wearable technology, Chronic diseases, Cross sectional study