Predicting sleep disordered breathing in middle-aged Japanese office workers: A simple and effective screening tool

IF 2 Q2 RESPIRATORY SYSTEM
Wakako Yamasawa , Akiko Tanabe , Koichiro Asano , Yasunori Sato , Hiromichi Matsushita , Koichi Fukunaga
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Abstract

Background

Sleep Disordered Breathing (SDB) is a common yet underdiagnosed condition, as many afflicted individuals are unaware of the condition. It is a major contributor to metabolic syndrome, sudden death, and deteriorating overall health, making early detection crucial, especially in populations such as Japanese office workers in whom symptoms may not be evident. This study aimed to fill the critical gap in SDB detection by investigating its prevalence among Japanese office workers unaware of any SDB symptoms and by and developing a straightforward, effective screening tool that can be integrated into routine health examinations.

Methods

A total of 518 male office workers underwent a sleep monitoring test along with a comprehensive questionnaire assessing lifestyle, comorbidities, and sleep quality. Participants were divided into derivation and validation cohorts to develop and test, respectively, an SDB prediction score.

Results

In this study, 149 (28.7 %) patients had a respiratory disturbance index ≥15 and moderate or severe SDB. The developed prediction model demonstrated a high sensitivity of 91.5 % and a specificity of 49.4 %, making it a powerful tool for early detection of SDB requiring treatment.

Conclusions

This study presents a convenient screening tool that could revolutionize SDB detection among Japanese office workers, leading to earlier interventions and potentially reducing the burden of related health complications. This tool holds significant promise for incorporation into standard health examinations, offering a proactive approach to managing SDB.
预测日本中年上班族睡眠呼吸障碍:一种简单有效的筛查工具
睡眠呼吸障碍(SDB)是一种常见但未被诊断的疾病,因为许多患者并未意识到自己的病情。它是代谢综合征、猝死和整体健康状况恶化的主要原因,因此早期发现至关重要,特别是在症状可能不明显的日本办公室职员等人群中。本研究旨在通过调查未意识到任何SDB症状的日本上班族的SDB患病率,并通过开发一种可整合到常规健康检查中的简单有效的筛查工具,来填补SDB检测的关键空白。方法对518名男性上班族进行了睡眠监测测试,并对其生活方式、合并症和睡眠质量进行了综合评估。参与者被分为推导组和验证组,分别开发和测试SDB预测评分。结果149例(28.7%)患者存在呼吸障碍指数≥15和中重度SDB。该预测模型的敏感性为91.5%,特异性为49.4%,是早期发现需要治疗的SDB的有力工具。结论本研究提供了一种方便的筛查工具,可以彻底改变日本上班族的SDB检测,从而导致早期干预,并有可能减少相关健康并发症的负担。该工具有望整合到标准健康检查中,为管理SDB提供主动方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Respiratory investigation
Respiratory investigation RESPIRATORY SYSTEM-
CiteScore
4.90
自引率
6.50%
发文量
114
审稿时长
64 days
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