Hsi-Chung Chen, M.D., Ph.D. Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan, Center of Sleep Disorders, National Taiwan University Hospital, Taipei, Taiwan, No.7 Chung San South Road, Taipei 10002, Taiwan, Tel: 886-2-2312-3456 ext. 66787, Fax: 886-2-2381-3208, E-mail:
J Nutr Health Aging. 2023;27(10):861-867. doi: 10.1007/s12603-023-1984-z.
To elucidate the relationship between various sleep-wake-related indicators and nutritional status.
Cross-sectional study.
Community-based survey between 2017 and 2022 in Yilan City, Taiwan.
1,905 community-dwelling older adults aged ≥65 years.
Nutritional status was evaluated using the Mini Nutritional Assessment, and participants were classified into normal nutritional status and undernutrition groups. Regarding sleep-wake-related indicators, specific items or component scores of the Pittsburgh Sleep Quality Index were used to assess sleep-wake schedule, subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, presence of sleep disturbances, hypnotic use, and dysfunction in maintaining enthusiasm. The 5-item Athens Insomnia Scale and the Epworth Sleepiness Scale were used to evaluate insomnia and excessive daytime sleepiness, respectively.
Of the 1,905 participants, the mean age was 75.6±7.1, with 52.2% being ≥75 years old, 58.9% were women, and 11.4% had undernutrition. After controlling for covariates, short sleepers were less likely to have undernutrition (OR: 0.63; 95% CI: 0.41-0.97); in contrast, long sleepers were more likely to exhibit undernutrition (OR: 1.52; 95% CI: 1.06-2.17). In addition, poor habitual sleep efficiency (OR:1.69; 95% CI:1.15-2.50), taking hypnotics in the past month (OR: 1.58; 95% CI: 1.12-2.24), and dysfunction in maintaining enthusiasm (OR: 1.93; 95% CI: 1.24-2.99) were associated with increased risk of undernutrition.
Among older adults, various sleep-wake-related indicators differed in their relationships with nutritional status. Specific sleep-wake disturbances may indicate undernutrition in this population.
阐明各种与睡眠-觉醒相关的指标与营养状况之间的关系。
2017 年至 2022 年在台湾宜兰市进行的基于社区的横断面研究。
1905 名年龄≥65 岁的社区居住老年人。
使用 Mini Nutritional Assessment 评估营养状况,将参与者分为营养正常和营养不良组。关于睡眠-觉醒相关指标,使用匹兹堡睡眠质量指数的特定项目或组成部分评分来评估睡眠-觉醒时间表、主观睡眠质量、睡眠潜伏期、睡眠持续时间、习惯性睡眠效率、睡眠障碍、催眠药物使用和维持热情的功能障碍。使用 5 项 Athens 失眠量表和 Epworth 嗜睡量表分别评估失眠和白天过度嗜睡。
在 1905 名参与者中,平均年龄为 75.6±7.1 岁,≥75 岁者占 52.2%,女性占 58.9%,营养不良者占 11.4%。在控制了混杂因素后,短睡眠者不太可能营养不良(OR:0.63;95%CI:0.41-0.97);相反,长睡眠者更有可能出现营养不良(OR:1.52;95%CI:1.06-2.17)。此外,习惯性睡眠效率差(OR:1.69;95%CI:1.15-2.50)、过去一个月使用催眠药物(OR:1.58;95%CI:1.12-2.24)和维持热情的功能障碍(OR:1.93;95%CI:1.24-2.99)与营养不良风险增加相关。
在老年人中,各种与睡眠-觉醒相关的指标与营养状况的关系不同。特定的睡眠-觉醒障碍可能表明该人群存在营养不良。