Environment & Health | ISSN: 2077-7477 eISSN: 2077-7485 |
No: 2 (111) - JUNE, 2024 - Pages: 63-69
Search of associations between mobile phone use and sleep quality in patients with type 2 diabetes
Marushchak M.I.1, Rohava Kh.T.1, Zablotskyi B.V.2, Krynytska I.Ya.1
1 I. Horbachevsky Ternopil National Medical University, Ternopil, Ukraine 2 Ternopil Volodymyr Hnatiuk National Pedagogical University, Ternopil, Ukraine
ÓÄÊ: 616.12:613
ABSTRACT:
Objective: to investigate and analyze the relationship between mobile phone use and sleep quality in patients with type 2 diabetes.
Materials and methods. For the purpose of retrospective analysis of medical records, 71 patients with type 2 diabetes were included, and the BMI of these patients was calculated. The next stage of our research was a telephone survey to assess the quality of mobile phone use behavior. The level of daytime sleepiness was assessed according to the Epworth questionnaire. Statistical processing of the results was carried out using the computer program STATISTICA 7.0.
Research results and their discussion. When comparing the studied indicators of patients with T2DM of different ages depending on the duration of mobile phone use, it was established that the systolic blood pressure, age and BMI were probably higher in mature patients with a duration of mobile phone use of more than 8 years compared to the data of patients who have been using the phone for 5-8 years. At the same time, the age of patients and SAT among the elderly group was probably higher in patients with a term of use of more than 8 years compared to those who have been using a mobile phone for 5-8 years. Patients with T2DM have moderate (14.08%) and severe (77.47%) daytime sleepiness.
Conclusions. A significantly higher percentage of mature and elderly T2DM patients who used a phone for more than 8 years was established, compared to the indicators in the group with a duration of 5-8 years of phone use, which in the case of mature age was associated with a significantly higher level of systolic blood pressure and BMI.
KEYWORDS:
type 2 diabetes, mobile connection, age, sleepiness, body mass index
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