Department of Nutrition and Food Hygiene, School of Public Health, Nantong University, Nantong, China.
Institute of Pain Medicine and Special Environmental Medicine, Nantong University, 9 Seyuan Road, Chongchuan District, 226019, Nantong, China.
Int J Behav Nutr Phys Act. 2024 Feb 14;21(1):17. doi: 10.1186/s12966-024-01568-9.
How physical activity (PA) and different sleep traits and overall sleep pattern interact in the development of Parkinson's disease (PD) remain unknown.
To prospectively investigate the joint associations of PA and sleep pattern with risk of PD.
Included were 339,666 PD-free participants from the UK Biobank. Baseline PA levels were grouped into low (< 600 MET-mins/week), medium (600 to < 3000 MET-mins/week) and high (≥ 3000 MET-mins/week) according to the instructions of the UK Biobank. Healthy sleep traits (chronotype, sleep duration, insomnia, snoring, and daytime sleepiness) were scored from 0 to 5 and were categorized into "ideal sleep pattern" (≥ 3 sleep scores) and "poor sleep pattern" (0-2 sleep scores). Hazard ratios (HRs) and 95% confidence intervals (CIs) of PD were estimated by Cox proportional hazards models.
During a median of 11.8 years of follow-up, 1,966 PD events were identified. The PD risk was lower in participants with high PA (HR = 0.73; 95% CI: 0.64, 0.84), compared to those with low PA; and participants with ideal sleep pattern also had a lower risk of PD (HR = 0.78; 95% CI: 0.69, 0.87), compared to those with poor sleep pattern. When jointly investigating the combined effect, participants with both high PA and ideal sleep pattern had the lowest risk of incident PD (HR = 0.55; 95% CI: 0.44, 0.69), compared to those with low PA and poor sleep pattern; notably, participants with high PA but poor sleep pattern also gained benefit on PD risk reduction (HR = 0.74; 95% CI: 0.55, 0.99).
Both high PA and ideal sleep pattern were independently associated with lower risk of developing PD, and those with both high PA level and ideal sleep pattern had the lowest risk. Our results suggest that improving PA levels and sleep quality may be promising intervention targets for the prevention of PD.
体力活动(PA)和不同的睡眠特征以及整体睡眠模式如何相互作用从而导致帕金森病(PD)的发生尚不清楚。
前瞻性研究 PA 和睡眠模式与 PD 风险的联合关联。
纳入 339666 名无 PD 的英国生物库参与者。根据英国生物库的说明,基线 PA 水平分为低(<600 MET-min/周)、中(600-<3000 MET-min/周)和高(≥3000 MET-min/周)。健康的睡眠特征(时型、睡眠时间、失眠、打鼾和白天嗜睡)得分为 0-5 分,并分为“理想睡眠模式”(≥3 分)和“不良睡眠模式”(0-2 分)。使用 Cox 比例风险模型估计 PD 的风险比(HR)和 95%置信区间(CI)。
在中位随访 11.8 年期间,共确定了 1966 例 PD 事件。与低 PA 相比,高 PA 参与者的 PD 风险较低(HR=0.73;95%CI:0.64,0.84);与不良睡眠模式相比,具有理想睡眠模式的参与者的 PD 风险也较低(HR=0.78;95%CI:0.69,0.87)。当联合研究联合效应时,具有高 PA 和理想睡眠模式的参与者发生 PD 的风险最低(HR=0.55;95%CI:0.44,0.69),与低 PA 和不良睡眠模式相比;值得注意的是,具有高 PA 但不良睡眠模式的参与者在降低 PD 风险方面也有获益(HR=0.74;95%CI:0.55,0.99)。
高 PA 和理想睡眠模式均与较低的 PD 发病风险独立相关,而同时具有高 PA 水平和理想睡眠模式的参与者的风险最低。我们的结果表明,提高 PA 水平和睡眠质量可能是预防 PD 的有前途的干预靶点。