印度医生体重指数与睡眠质量的相关性:一项描述性研究

H. Gulati, Kamaljeet Kaur, J. Kaur, A. Wadhwa, Mamta Sharma
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引用次数: 0

摘要

在目前的情况下,临床医生经常承受高工作量,加上巨大的压力,这可能导致睡眠紊乱和体脂积累。由于他们是医疗保健行业的中心支柱,医生本身的健康是追求健康和无疾病社会的一个极其重要的因素。目的:探讨身体质量指数(BMI)对临床医生睡眠质量的影响,建立临床医生肥胖与睡眠模式的关系。材料与方法:本描述性研究于2019年7月至2021年6月在印度旁遮普省贾朗达尔医学科学研究所各科室门诊(OPD)诊所和斋浦尔NIMS医院门诊(OPD)工作的400名医生进行。BMI计算为体重(kg)与身高(m)的平方之比。通过匹兹堡睡眠质量指数(PSQI)问卷评估睡眠质量,作为全球匹兹堡睡眠质量指数。采用卡方检验、方差分析(ANOVA)、学生t检验和Pearson相关等统计方法对BMI和睡眠质量进行相关性检验。结果:本研究男性200例,女性200例。大多数参与者年龄在41- 50岁之间。51.4% BMI低于25 kg/m2的参与者睡眠质量较差,与BMI低于25 kg/m2的参与者(33.5%)相比,这一比例明显更高。睡眠质量与性别无关。此外,研究还发现,外科医生的睡眠质量比内科医生差。结论:本研究结果显示睡眠质量与超重/肥胖状态之间存在显著相关和线性相关。这些信息可以作为临床医生保护自身健康的意识和警告信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation Between Body Mass Index and Sleep Quality among Indian Doctors: A Descriptive Study
Introduction: In the current scenario, clinicians are constantly subjected to high workload coupled with enormous amount of stress which can lead to both derangement of sleep and accumulation of body fat. Since they are the central pillar of healthcare industry, the health of doctors themselves is an extremely important factor in pursuit of a healthy and disease free society. Aim: To determine the effect of Body Mass Index (BMI) on quality of sleep in clinicians and to establish a relation between obesity and sleep pattern of clinicians. Materials and Methods: The present descriptive study was conducted on 400 doctors working in Outpatient Department (OPD) clinics of various departments at Punjab Institute of Medical Sciences, Jalandhar and OPDs of NIMS Hospital, Jaipur, India, from July 2019 to June 2021. BMI was calculated as ratio of weight (kg) to the square of height (m). Sleep quality was assessed by Pittsburgh Sleep Quality Index (PSQI) questionnaire as a Global Pittsburgh Sleep Quality Index. BMI and sleep quality were checked for inter-relationship using various statistical methods like Chi- square test, Analysis of Variance (ANOVA), student t-test and Pearson’s correlation. Results: In the present study, 200 were males and 200 were females. Most of the participants were in the age group of 41- 50 years. A 51.4% of participants with BMI >25 kg/m2 had poor sleep quality which was significantly higher when compared with participants with BMI <25 kg/m2 (33.5%). Sleep quality had no significant bearing with gender. Further, it was found that surgical specialists had poorer sleep when compared with their medical counterparts. Conclusion: The results of the present study showed a significant association and linear correlation between sleep quality and overweight/obesity status. This information serves as an awareness and warning signal for the clinicians to safeguard their own health.
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