Gibson Rosemary, Akter Tasnima, Jones Courtney, Towers Andy
Sleep/Wake Research Centre, College of Health, Massey University, Wellington, New Zealand.
School of Psychology, Massey University, Palmerston North, New Zealand.
J Gerontol A Biol Sci Med Sci. 2023 Oct 9;78(10):1908-1918. doi: 10.1093/gerona/glad042.
Understanding and supporting sleep is important across the life span. Disparities in sleep status are well documented in mid-life but under-explored among older populations.
Data from 40,659 adults pooled from the New Zealand Health Surveys were used; 24.2% were "older adults" (aged ≥65 years), 57% were female, and 20.5% of Māori ethnicity. "Long," "short," or "typical" sleep categories were based on age-related National Sleep Foundation guidelines. Multinomial logistic regression examined predictors of atypical sleep, including sociodemographic characteristics, lifestyle factors, and health status.
Prevalence of short and long sleep among older adults was 296 (3.0%) and 723 (7.4%), respectively. Correspondingly, prevalence among younger adults was 2 521 (8.2%) and 364 (1.2%). Atypical sleep was more significantly associated with indicators of reduced socioeconomic status and ethnicity among younger rather than older adults. Within both age groups, lower physical activity was associated with long sleep status. Higher physical activity and smoking were related to short sleep status among younger adults only. Within both age groups, atypical sleep was associated with SF-12 scores indicating poorer physical and mental health. Having ≥3 health conditions was related to short sleep among the older adults, while for young adults, it was related to both atypical durations.
Indicators of negative lifestyle and health factors remain consistent predictors of atypical sleep with aging. However, demographic disparities are less apparent among older atypical sleepers. This study highlights individual and contextual factors associated with atypical sleep patterns which may be important for age-appropriate recognition and management of sleep problems.
理解和支持睡眠对整个生命周期都很重要。中年人睡眠状况的差异已有充分记录,但在老年人中研究较少。
使用来自新西兰健康调查的 40659 名成年人的数据;24.2%为“老年人”(年龄≥65 岁),57%为女性,20.5%为毛利人。“长”“短”或“典型”睡眠类别基于与年龄相关的国家睡眠基金会指南。多项逻辑回归分析了非典型睡眠的预测因素,包括社会人口特征、生活方式因素和健康状况。
老年人中短睡眠和长睡眠的患病率分别为 296(3.0%)和 723(7.4%)。相比之下,年轻成年人的患病率分别为 2521(8.2%)和 364(1.2%)。与年轻成年人相比,非典型睡眠与社会经济地位和种族降低的指标更为显著相关。在两个年龄组中,较低的身体活动与长睡眠状态有关。在年轻成年人中,较高的身体活动和吸烟与短睡眠状态有关。在两个年龄组中,非典型睡眠与 SF-12 评分相关,表明身体和心理健康状况较差。有≥3 种健康状况与老年人的短睡眠有关,而对于年轻成年人,它与非典型睡眠时间有关。
负面生活方式和健康因素的指标仍然是与年龄相关的非典型睡眠的一致预测因素。然而,在老年人中,人口统计学差异不太明显。本研究强调了与非典型睡眠模式相关的个体和环境因素,这对于识别和管理与年龄相关的睡眠问题可能很重要。