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夜尿与睡眠不满意相关的因素:基于社区的横断面研究及可解释机器学习分析

Nocturia and factors associated with sleep dissatisfaction: a community-based cross-sectional study using explainable machine learning
Haruna Nonaka、Shuhei Suzuki、Hiromitsu Negoro · BMC Family Practice · 2026-11-05

研究信息

期刊 / 来源
BMC Family Practice
发表日期
2026-11-05
文献库
OpenAlex
作者
Haruna Nonaka, Shuhei Suzuki, Hiromitsu Negoro
DOI
10.1186/s12875-026-03643-5
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英文原文摘要全文

Abstract Background Nocturia is associated with poor sleep quality, but its relationship with subjective sleep dissatisfaction remains insufficiently understood. In primary care, sleep-related complaints are common, and nocturia may be overlooked as a contributor to sleep dissatisfaction. This study examined the association between nocturia and sleep dissatisfaction and explored age-related differences using explainable machine learning. Methods We conducted a community-based cross-sectional postal survey in 2022 among 10,000 randomly selected residents of Tsukuba City, Japan, aged 45–89 years

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