Clark Cayla E, Gold Joshua, Rigby B Rhett
Texas Woman's University, United States.
Sleep Med X. 2024 Aug 16;8:100123. doi: 10.1016/j.sleepx.2024.100123. eCollection 2024 Dec 15.
Chronic short sleep duration (i.e., <7 h sleep daily) could reduce the brain's ability to attenuate toxin and protein accumulation, which may contribute to Parkinson's disease (PD). The purpose of this study was to characterize the relationship between self-reported sleep duration from adolescence to adulthood and the age of diagnosis in people with PD. A secondary purpose was to characterize the interaction between sleep duration and physical activity through the lifespan on the age of PD diagnosis.
A secondary data analysis was performed using the Fox Insight data set. Multiple regression analysis was used to determine the age range that sleep duration best predicted the age of diagnosis of PD. Hierarchical linear multiple regression was performed to assess if self-reported sleep duration, physical activity, and their interaction predicted the age of diagnosis for PD, after accounting for sociodemographic factors.
Both sleep (p < 0.001) and physical activity time (p = 0.013) significantly predicted the of age of onset of PD. In contrast, there was no evidence to support an interaction of sleep by physical activity on the age of diagnosis of PD. Sleep duration at 46-55 years maintained significance after controlling for education, income, race, ethnicity, and sex (p < 0.001). Weekly duration of time spent performing moderate-intensity physical activity was added as an input variable.
Sleep duration significantly predicts the age of diagnosis of PD, with shorter sleep duration associated with a younger age of diagnosis of PD.
长期睡眠时长较短（即每天睡眠<7小时）可能会降低大脑清除毒素和蛋白质积累的能力，这可能会导致帕金森病（PD）。本研究的目的是描述从青少年到成年自我报告的睡眠时长与PD患者诊断年龄之间的关系。第二个目的是描述一生中睡眠时长和身体活动之间的相互作用对PD诊断年龄的影响。
使用Fox Insight数据集进行二次数据分析。多元回归分析用于确定睡眠时长最能预测PD诊断年龄的年龄范围。在考虑社会人口学因素后，进行分层线性多元回归以评估自我报告的睡眠时长、身体活动及其相互作用是否能预测PD的诊断年龄。
睡眠（p<0.001）和身体活动时间（p=0.013）均能显著预测PD的发病年龄。相比之下，没有证据支持睡眠与身体活动在PD诊断年龄上存在相互作用。在控制了教育程度、收入、种族、民族和性别后，46 - 55岁的睡眠时长仍具有显著性（p<0.001）。将每周进行中等强度身体活动的时长作为输入变量添加进来。
睡眠时长能显著预测PD的诊断年龄，睡眠时长越短，PD的诊断年龄越小。
