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Interventional Medicine and Applied Science
Authors: Masoumeh Dorri Giv, Karim Ghazikhanlou Sani, Majid Alizadeh, Ali Valinejadi and Hesamedin Askari Majdabadi

Introduction

Noise pollution in the operating rooms is one of the remaining challenges. Both patients and physicians are exposed to different sound levels during the operative cases, many of which can last for hours. This study aims to evaluate the noise pollution in the operating rooms during different surgical procedures.

Materials and methods

In this cross-sectional study, sound level in the operating rooms of Hamadan University-affiliated hospitals (totally 10) in Iran during different surgical procedures was measured using B&K sound meter. The gathered data were compared with national and international standards. Statistical analysis was performed using descriptive statistics and one-way ANOVA, t-test, and Pearson’s correlation test.

Results

Noise pollution level at majority of surgical procedures is higher than national and international documented standards. The highest level of noise pollution is related to orthopedic procedures, and the lowest one related to laparoscopic and heart surgery procedures. The highest and lowest registered sound level during the operation was 93 and 55 dB, respectively. Sound level generated by equipments (69 ± 4.1 dB), trolley movement (66 ± 2.3 dB), and personnel conversations (64 ± 3.9 dB) are the main sources of noise.

Conclusion

The noise pollution of operating rooms are higher than available standards. The procedure needs to be corrected for achieving the proper conditions.

Open access

Introduction

Sleep quality is an essential aspect in human health and function. Considering high prevalence of using smartphones and social networks among students and their impact on sleep quality, this study was conducted to determine the relationship between the overuse of cell phone and addiction to social networks and students’ sleep quality.

Materials and methods

This cross-sectional study was conducted in Kermanshah University of Medical Sciences, Kermanshah, Iran in 2018. Using cluster sampling, 321 students from different disciplines were selected. Data gathering tools consisted of the questionnaire of Pittsburgh Sleep Quality Index (PSQI). Cell phone use and addiction to social networks were assessed using Cell Phone Overuse Scale and a researcher-made questionnaire, respectively. Data were analyzed using SPSS software (version 19) and Pearson’s correlation test.

Results

The mean total score of sleep quality in students was 6.58 ± 1.05. There was a positive and significant correlation between sleep quality and social networks addiction score (p < 0.05, r = 0.5) and cell phone overuse (p < 0.05, r = 0.44); this is an inverse correlation, because higher scores of the total PSQI denote a lower sleep quality and, in Cell Phone Overuse Scale, higher scores shows overuse.

Conclusions

According to the findings of this study, there was a significant statistical relationship between the overuse of cell phone and social networks and students’ sleep quality. In other words, students who have had overuse of cell phones had poorer sleep quality. Therefore, providing effective educational programs to improve the sleep quality in this group is essential.

Open access

Introduction

Sleep quality is an essential aspect in human health and function. Considering high prevalence of using smartphones and social networks among students and their impact on sleep quality, this study was conducted to determine the relationship between the overuse of cell phone and addiction to social networks and students’ sleep quality.

Materials and methods

This cross-sectional study was conducted in Kermanshah University of Medical Sciences, Kermanshah, Iran in 2018. Using cluster sampling, 321 students from different disciplines were selected. Data gathering tools consisted of the questionnaire of Pittsburgh Sleep Quality Index (PSQI). Cell phone use and addiction to social networks were assessed using Cell Phone Overuse Scale and a researcher-made questionnaire, respectively. Data were analyzed using SPSS software (version 19) and Pearson’s correlation test.

Results

The mean total score of sleep quality in students was 6.58 ± 1.05. There was a positive and significant correlation between sleep quality and social networks addiction score (p < 0.05, r = 0.5) and cell phone overuse (p < 0.05, r = 0.44); this is an inverse correlation, because higher scores of the total PSQI denote a lower sleep quality and, in Cell Phone Overuse Scale, higher scores shows overuse.

Conclusions

According to the findings of this study, there was a significant statistical relationship between the overuse of cell phone and social networks and students’ sleep quality. In other words, students who have had overuse of cell phones had poorer sleep quality. Therefore, providing effective educational programs to improve the sleep quality in this group is essential.

Open access