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Mao CJ, Peng H, Zhuang S, Zhang YC, Xie WY, Yan JH, Liu HH, Chen J, Liu JY, Zhang J, Jiang H, Zhang Y, Zhang M, Liu CF. Association Between Sleep Characteristics and Likelihood of Prodromal Parkinson's Disease: A Cross-Sectional Analysis in the HABIT Study. Nat Sci Sleep 2024; 16:1355-1364. [PMID: 39282469 PMCID: PMC11402350 DOI: 10.2147/nss.s476348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2024] [Accepted: 09/03/2024] [Indexed: 09/19/2024] Open
Abstract
Background Sleep is critical in health problems including Parkinson's disease (PD). This study examined the association between sleep characteristics and the likelihood of prodromal PD. Methods At baseline examination of the Heart and Brain Investigation in Taicang (HABIT) study, potential PD biomarkers were obtained for 8777 participants aged over 50 years, and the probability of prodromal PD was assessed based on the Chinese expert consensus and Movement Disorder Society (MDS) criteria. General and component sleep characteristics were evaluated by the Pittsburgh Sleep Quality Index (PSQI). Median regression was applied to examine the association between sleep and the probability of prodromal PD, adjusting for age, sex, education level, physical activity, obesity, fast plasma glucose, lipids, and hypertension. Results Based on China criteria, a higher level of PSQI score was significantly associated with a higher probability of prodromal PD (β = 0.02, 95% CI: 0.01-0.03) and a higher risk of having an increased probability of prodromal PD (OR = 1.04, 95% CI: 1.02-1.05). Compared to participants with good quality sleep, those with poor quality sleep had a 0.07% increased probability of prodromal PD (95% CI: 0.01-0.13) and a 19% increased risk of having a high prodromal PD probability (95% CI: 1.04-1.20). Similar associations between sleep quality and the probability of prodromal PD were also observed using the MDS criteria. Subjective sleep quality, sleep latency, habitual sleep efficiency, daytime dysfunction, and use of sleep medications were also associated with the probability of prodromal PD. Conclusion Poor sleep quality was associated with a high probability of prodromal PD. Sleep may be helpful for understanding and intervention of prodromal PD.
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Affiliation(s)
- Cheng-Jie Mao
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Hao Peng
- Department of Epidemiology, School of Public Health, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, People's Republic of China
| | - Sheng Zhuang
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Ying-Chun Zhang
- Department of Ultrasound, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Wei-Ye Xie
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Jia-Hui Yan
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Hui-Hui Liu
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Jing Chen
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Jun-Yi Liu
- Department of Neurology, The Fourth Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
| | - Jianan Zhang
- Department of Chronic Disease, Taicang Center of Disease Prevention and Control, Suzhou, People's Republic of China
| | - Hai Jiang
- Department of Chronic Disease, Taicang Center of Disease Prevention and Control, Suzhou, People's Republic of China
| | - Yonghong Zhang
- Department of Epidemiology, School of Public Health, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, People's Republic of China
| | - Mingzhi Zhang
- Department of Epidemiology, School of Public Health, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, People's Republic of China
| | - Chun-Feng Liu
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, People's Republic of China
- Institute of Neuroscience, Soochow University, Suzhou, People's Republic of China
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Chen LH, Liu T. Association of accelerometer-measured physical activity and incident Parkinson's disease: insights and future research directions. NPJ Digit Med 2024; 7:158. [PMID: 38890480 PMCID: PMC11187200 DOI: 10.1038/s41746-024-01154-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 05/31/2024] [Indexed: 06/20/2024] Open
Affiliation(s)
- Li-Hua Chen
- Institute of Pain Medicine and Special Environmental Medicine, Nantong University, Nantong, China.
- Department of Nutrition and Food Hygiene, School of Public Health, Nantong University, Nantong, China.
| | - Tong Liu
- Institute of Pain Medicine and Special Environmental Medicine, Nantong University, Nantong, China.
- Department of Nutrition and Food Hygiene, School of Public Health, Nantong University, Nantong, China.
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Shaib F. Neurologic Disorders in Women and Sleep. Neurol Clin 2023; 41:297-314. [PMID: 37030959 DOI: 10.1016/j.ncl.2023.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Abstract
Sleep disorders in women remain underrecognized and underdiagnosed mainly because of gender bias in researching and characterizing sleep disorders in women. Symptoms of common sleep disorders are frequently missed in the general female population and are expected to be further overlooked because of overlapping symptoms in women with neurologic disorders. Given the bidirectional relationship with sleep and neurologic disorders, it remains critical to be aware of the presentation and impact of sleep disorders in this patient population. This article reviews available data on sleep disorders in women with neurologic disorders and discusses their distinctive features.
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Affiliation(s)
- Fidaa Shaib
- Pulmonary, Critical Care, and Sleep Medicine, Baylor College of Medicine, McNair Campus, 7200 Cambridge Street, Houston, TX 77030, USA.
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Unda SR, Marciano S, Milner TA, Marongiu R. State-of-the-art review of the clinical research on menopause and hormone replacement therapy association with Parkinson's disease: What meta-analysis studies cannot tell us. Front Aging Neurosci 2022; 14:971007. [PMID: 36337706 PMCID: PMC9631815 DOI: 10.3389/fnagi.2022.971007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 09/29/2022] [Indexed: 11/27/2023] Open
Abstract
The menopause is a midlife endocrinological process that greatly affects women's central nervous system functions. Over the last 2 decades numerous clinical studies have addressed the influence of ovarian hormone decline on neurological disorders like Parkinson's disease and Alzheimer's disease. However, the findings in support of a role for age at menopause, type of menopause and hormone replacement therapy on Parkinson's disease onset and its core features show inconsistencies due to the heterogeneity in the study design. Here, we provide a unified overview of the clinical literature on the influence of menopause and ovarian hormones on Parkinson's disease. We highlight the possible sources of conflicting evidence and gather considerations for future observational clinical studies that aim to explore the neurological impact of menopause-related features in Parkinson's disease.
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Affiliation(s)
- Santiago R. Unda
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, United States
| | - Sabina Marciano
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, United States
| | - Teresa A. Milner
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, United States
- Harold and Milliken Hatch Laboratory of Neuroendocrinology, The Rockefeller University, New York, NY, United States
| | - Roberta Marongiu
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, United States
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, United States
- Department of Genetic Medicine, Weill Cornell Medicine, New York, NY, United States
- Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD, United States
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Beydoun HA. Response to Letter to Editor. Menopause 2022; 29:1230-1231. [PMID: 35917545 DOI: 10.1097/gme.0000000000002048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Hind A Beydoun
- Department of Research Programs Fort Belvoir Community Hospital Fort Belvoir, VA
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Beydoun HA, Chen JC, Saquib N, Naughton MJ, Beydoun MA, Shadyab AH, Hale L, Zonderman AB. Sleep and affective disorders in relation to Parkinson's disease risk among older women from the Women's Health Initiative. J Affect Disord 2022; 312:177-187. [PMID: 35752216 PMCID: PMC9302785 DOI: 10.1016/j.jad.2022.06.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 06/11/2022] [Accepted: 06/17/2022] [Indexed: 10/17/2022]
Abstract
OBJECTIVES To evaluate sleep and affective (mood/anxiety) disorders as clinical predictors of incident Parkinson's disease (PD) among women ≥65 years of age. METHODS We performed secondary analyses with available data from the Women's Health Initiative Clinical Trials and Observational Study linked to Medicare claims. Sleep, mood and anxiety disorders at baseline were defined using diagnostic codes. Incident PD was defined using self-reported PD, first PD diagnosis, use of PD medications, and/or deaths attributed to PD. Cox regression was applied to estimate hazard ratios (HR) with 95 % confidence intervals (CI), controlling for socio-demographic/lifestyle/health characteristics. Time-to-event was calculated from baseline (1993-1998) to year of PD event, loss to follow-up, death, or December 31, 2018, whichever came first. RESULTS A total of 53,996 study-eligible WHI participants yielded 1756 (3.25 %) PD cases over ~14.39 (±6.18) years of follow-up. The relative risk for PD doubled among women with affective disorders (HR = 2.05, 95 % CI: 1.84, 2.27), mood disorders (HR = 2.18, 95 % CI: 1.97, 2.42) and anxiety disorders (HR = 1.97, 95 % CI: 1.75, 2.22). Sleep disorders alone (without affective) were not significantly associated with PD risk (HR = 0.85, 95 % CI: 0.69, 1.04), whereas affective disorders alone (without sleep) (HR = 1.93, 95 % CI: 1.72, 2.17) or in combination with sleep disorders (HR = 2.18, 95 % CI: 1.85, 2.56) were associated with twice the PD risk relative to no sleep/affective disorders. LIMITATIONS Observational design; Selection bias; Information bias; Generalizability. CONCLUSIONS Among older women, joint sleep/affective disorders and affective disorders alone are strong clinical predictors of incident PD over 14 years.
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Affiliation(s)
- Hind A Beydoun
- Department of Research Programs, Fort Belvoir Community Hospital, Fort Belvoir, VA, USA 22060.
| | - Jiu-Chiuan Chen
- Departments of Population & Public Health Sciences and Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Nazmus Saquib
- Department of Research, College of Medicine, Sulaiman AlRajhi University, Al Bukayriah, Saudi Arabia
| | - Michelle J Naughton
- Department of Internal Medicine, College of Medicine, Ohio State University, Columbus, OH 43201, USA
| | - May A Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD 21225, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA 92093, USA
| | - Lauren Hale
- Program in Public Health, Department of Family, Population and Preventive Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIA/NIH/IRP, Baltimore, MD 21225, USA
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Sleep disturbance and Parkinson disease in women. Menopause 2022; 29:1230. [PMID: 35917532 DOI: 10.1097/gme.0000000000002047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Sleep duration, insomnia, and Parkinson disease. Menopause 2022; 29:251-252. [PMID: 35131963 PMCID: PMC8881293 DOI: 10.1097/gme.0000000000001954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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