REM sleep behavior disorder was associated with Parkinson’s disease: a community-based study
- Jian-Fang Ma†1,
- Miao-Miao Hou†1,
- Hui-Dong Tang1,
- Xiang Gao2,
- Liang Liang1,
- Li-Fang Zhu3,
- Yi Zhou1,
- Sheng-Yu Zha1,
- Shi-Shuang Cui1,
- Juan-Juan Du1,
- Gen Li1,
- Jun Liu1Email author and
- Sheng-Di Chen1Email author
© The Author(s). 2016
Received: 1 May 2016
Accepted: 19 July 2016
Published: 2 August 2016
Our study was aimed to validate a modified RBD (REM sleep behavior disorder) single question (RBD1Q-C), study the prevalence of probable RBD (pRBD) in a rural community based on RBD1Q-C and investigate the association between pRBD and Parkinson’s disease (PD).
The validation study of RBD1Q-C included 32 Chinese participants (14 idiopathic RBD patients and 18 controls). All participants underwent a polysomnogram (PSG). We then conducted a door-to-door survey to estimate the prevalence of pRBD assessed by RBD1Q-C, and its association with PD among 19614 residents who lived in Malu community of Shanghai, China.
RBD1Q-C demonstrated a high sensitivity of 100 %, a moderate specificity of 55.6 %. The agreement between RBD1Q-C and PSG-based RBD diagnosis was good (k = 0.552). PPV of the RBD1Q-C was 63.6 % and NPV was 100 %. The prevalence of pRBD in Malu community was 4.9 %. In people over 50 years old, presence of pRBD was significantly associated with increased risk of having PD (odds ratio = 2.61, 95 % CI: 1.56–4.39).
RBD1Q-C was shown to be a useful screening tool. Based on the RBD1Q-C, we found that pRBD was not rare in Chinese rural population and associated with odds of PD, calling for more attention from patients, caregivers and physicians.
KeywordsCommunity-based study Parkinson’s disease Prevalence REM sleep behavior disorder
Rapid eye movement (REM) sleep behavior disorder (RBD) is a parasomnia characterized by dream enactment behaviors in the setting of increased electromyographic activity during REM sleep . These dream enactment behaviors occur almost always in the setting of an upsetting dream and present as sleep talking, shouting, and vigorous or elaborate body movements including punching, kicking, sitting up, and even falling out of bed . Recent studies found that RBD may represent an early clinical manifestation of a developing neurodegenerative disorders, mostly synucleinopathies such as PD (Parkinson’s disease), MSA (multiple system atrophy) and DLB (Lewy Body Dementia) [3–6]. Reliable, accurate methods for identifying RBD may offer a window for early intervention.
Polysomnographic (PSG) is required for the diagnosis of RBD according to the third edition of the International Classification of Sleep Disorders (ICSD-III). However, PSGs are time and resource consuming. The REM Sleep Behavior Disorder Single-Question Screen (RBD1Q) was developed and validated to be an easily applicable and short diagnostic screening tool . The RBD1Q can detect RBD with 94 % sensitivity and 87 % specificity in a well-characterized, clinic-based cohort of RBD patients and controls.
Because of concerns about the specificity, RBD1Q does not screen for sleep talking or sleep yelling. While the single item analysis of Innsbruck RBD inventory (RBD-I) revealed that sleep-related vocalization (sleep talking not included) had a good specificity of 94.2 % and AUC (0.804) . In consideration of a subset of patients for whom this is the only manifestation, we modified RBD1Q into a Chinese version of RBD1Q (RBD1Q-C) with the inclusion of sleep screaming and sleep yelling in order to obtain a higher sensitivity for the screening purpose. In addition, as the prevalence of RBD and the association of RBD with neurodegenerative diseases has not been well studied in Chinese general population [9–11], we aimed in this study to (1) validate the modified RBD1Q (RBD1Q-C); (2) estimate prevalence of probable RBD (pRBD) in a population-based survey by using RBD1Q-C as a screening tool; and (3) examine whether pRBD based on RBD1Q-C was associated with Parkinson’s disease.
RBD1Q was translated and back-translated by a senior neurologist and a professional translator. Then we included sleep shouting or yelling into the question, named as Chinese version of RBD1Q (RBD1Q-C). RBD1Q-C consists of a single question, answered “yes” or “no,” as follows “Did you have the following conditions (or have you ever been told by your husband or wife) that you shout, yell, move your arms or legs in response to your dream contents, even fallen off your bed?” (Additional file 1). This question was designed to be self-administered, with participation by caregivers encouraged.
For validation study of RBD1Q-C
Patients referred to the Departments of Respiratory and Neurology for sleep complaints were recruited in this study based on consequential sampling. People who were unwilling or unable to participate (such as hearing problems) were excluded. People were asked to complete the RBD1Q-C before PSG study after consent. Therefore they did not know their final diagnosis when they completed the questionnaire. All RBD patients had RBD diagnosis confirmed by history and PSG according to the ICSD-III. And patients were classified as the control group who did not meet the RBD diagnosis based on PSG and history. Patients who failed to attain REM sleep on their PSG were excluded from the study.
For pRBD prevalence study
This door-to-door study was conducted in Malu community of Jiading district which is located in north-west rural area of Shanghai from April to October 2013. According to the censorship, there are 45353 residents aged ≥20 years. About 31202 (68.8 %) residents completed RBD1Q-C. pRBD diagnosis was based on RBD1Q without PSG study. Therefore, we used pRBD instead of RBD in our study.
For PD ascertainment
We did a two-step door-to-door study to screen PD patients in people aged 50 years or older in Malu community to examine whether RBD was associated with PD. In the first step, local doctors from medical center of Malu community had one-day clinical teaching course of evaluating parkinsonism and essential tremor by movement disorders specialists from the Department of Neurology, Rui Jin Hospital affiliated to Shanghai Jiao Tong University School of Medicine. This clinical teaching course included video presentation of symptoms of parkinsonism and essential tremor and how to retrieve the history. Under the supervision of movement disorder specialist, local doctor was considered qualified when they demonstrated competency to do the clinical examination of tremor, bradykinesia, rigidity and gait. After being trained, these local doctors visited residents ≥50 years from door to door and reported possible parkinsonism cases to the movement disorder specialists. In the second step, movement disorder specialists revisited these possible parkinsonism cases to made the final diagnosis which included imaging studies, routine exclusion of other parkinsonian disorders such as multiple system atrophy, progressive supranuclear palsy, or cortico-basal degeneration, etc. The diagnosis of PD patients was based on the United Kingdom Parkinson’s Disease Society Brain Bank Clinical Diagnostic Criteria.
Analysis was carried out by using IBM SPSS Statistics Version 17.0 (SPSS, Chicago, IL). For validation study of RBD1Q-C, demographic feature of participants were compared by student t test and χ2 test. The psychometric properties of the RBD1Q-C were assessed by calculating the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for each threshold with a 95 % confidence interval (CI). The diagnostic value of RBD1Q-C was calculated by the area under the curve (AUC). The agreement (k coefficent) of RBD1Q-C with PSG was calculated. k values were used to categorize results as very good (0.81–1.0), good (0.61–0.8), moderate (0.41–0.6), fair (0.21–0.4) or poor (0–0.2). The Fisher exact test was used to compare the detection rate between the RBD1Q-C and PSG-based RBD diagnosis and a p value <0.05 was considered significantly different.
To estimate the association between pRBD and PD, we used logistic regression model to calculate odds ratio (OR) with 95 % confidence interval (95 % CI), according to pRBD status, adjusting for age and sex.
Validation of RBD1Q-C
A total of 139 participants with sleep complaints were enrolled (26–87 year, 47 female and 92 male). These patients were not on medication associated with RBD such as SSRI antidepressant. People on benzodiazepine were asked to stop medication for at least one week to perform the PSG test. About 46 subjects were excluded because of lack REM sleep during v-PSG or technical problems (10 PD with RBD, 1 iRBD, 12 OSAS, 8 insomnia, 5 RLS, 3 epilepsy, 7 others). Among 93 remaining subjects, 36 were diagnosed as RBD (20 PD with RBD, 2 MSA with RBD, and 14 idiopathic RBD) and 57 non-RBD (2 PD without RBD, 4 Restless legs syndrome, 26 OSAS (10 severe OSAS), 8 Epilepsy, 1 subdural hemorrhage, 1 dementia with insomnia, 8 insomnia, and 8 others). We included totally 32 subjects into our validation study: 14 idiopathic RBD patients and 18 non-RBD controls (1 subdural hemorrhage, 1 dementia with insomnia, 8 insomnia and 8 others). Mean RBD patient age was 64.07 ± 4.62 years old, in comparable to non-RBD group (60.39 ± 13.00) (p = 0.32). About 50 % of RBD patients were men, compared to 66.7 % of controls (p = 0.47).
In 14 RBD patients, 14 answered “yes” to RBD1Q-C, translating to a sensitivity of 100 % (95 %CI: 73.2–100 %) and 10 out of 18 non-RBD answered “no” to RBD1Q-C, translating to a specificity of 55.6 % (95 % CI: 31.3–77.6 %). Area under the receiver operating characteristic (ROC) curve was 0.778 (95 % CI: 0.615–0.940). The agreement between RBD1Q-C and PSG-based RBD was good (k = 0.552). The positive predictive value (PPV) of the RBD1Q-C was 63.6 % (95 % CI: 40.8–82.0 %) and negative predictive value (NPV) was 100 % (95 % CI: 65.5–100 %).
Prevalence of pRBD
Population and prevalence of RBD by age and gender in Malu community
Prevalence of RBD
95 % CI: 0.5–0.9
95 % CI : 0.7–1.2
95 % CI:0.6–1.0
95 % CI: 3.5–4.9
95 % CI: 5.1–6.8
95 % CI:4.5–5.6
95 % CI:5.2–6.8
95 % CI: 7.4–9.1
95 % CI: 6.6–7.8
95 % CI :8.9–11.9
95 % CI:11.0–14.1
95 % CI:10.4–12.5
95 % CI:5.0–7.8
95 % CI:7.0–9.5
95 % CI:6.5–8.4
95 % CI:3.8–4.4
95 % CI:5.3–6.0
95 % CI:4.6–5.1
RBD and PD
Totally 19614 people over 50 years old answered RBD1Q-C questionnaire (1428 answered “yes” and 18186 answered “no”) and examined by local doctors and further movement disorders specialists for PD diagnosis. After first screen, 124 subjects were diagnosed as parkinsonism by local doctors. Movement disorders specialist revisited 124 subjects and made the final diagnosis of PD in 97 subjects. Prevalence of PD was 1.2 % among those with pRBD and 0.4 % among those without pRBD (age-and sex-adjusted OR = 2.61, 95 % CI: 1.56–4.39, P < 0.001).
Our study demonstrated that RBD1Q-C was reliable to screen potential RBD in large epidemiological study. The prevalence of pRBD diagnosed by RBD1Q-C was 4.9 %, higher in women than men. pRBD was associated with PD in people over 50 years.
Characteristics of six validated screening tools of RBD
REM Sleep Behavior disorder Screening questionnaire (RBDSQ) 
Validation of RBDSQ
in China 
Mayo Sleep Questionnaire (MSQ) 
REM Sleep Behavior Disorder Questionnaire–Hong Kong (RBDQ-HK) 
Validation of RBDQ-HK
in east China 
RBD Single-Question Screen
Innsbruck REM Sleep Behavior Disroder Inventory (RBD-I) 
Chinese version of RBD1Q (RBD1Q-C)
No. of items
1 screening question on RBD (plus 5 additional questions if screened positive)
13 questions (Or use the Factor 2 behavioral subscale, which contains 7 questions)
Patient, bed partner encouraged
Bed partner only
Patient and/or bed partner
Patient, spouse/Caregiver encouraged
Patient, bed partner encouraged
Patient, bed partner encouraged
n = 54
Idiopathic RBD RBD co-morbid with narcolepsy
n = 63
RBD associated with PD
n = 81
RBD co-morbid with cognitive impairment/neurodegenerative diseases
n = 107
RBD co-morbid with narcolepsy/neurodegenerative diseases
n = 115
Idiopathic RBD, RBDassociated with PD, RBD like disorder
n = 242
n = 70
RBD co-morbid with narcolepsy/neurodegenerative diseases
n = 14
RBD co-morbid with neurodegenerative diseases
Sleep patients (n = 160)
Healthy subjects (n = 133)
Sleep patients (n = 78)
PD patients without RBD (n = 35)
Healthy subjects (n = 50)
Patients mostly with cognitive impairment/Parkinson’s disease (n = 66)
Sleep patients (n = 86)
Psychiatric patients (n = 6)
Healthy subjects (n = 15)
Sleep patients(n = 124)
Patients with neurogenerative disorder(n = 74)
Healthy subjects(n = 12)
Sleep patients and healthy control (total n = 242)
Sleep patients(total = 140)
Sleep patients and healthy control (total n = 32)
RBD patients & sleep patients: PSG. Healthy subjects: Medical history only, no PSG
19/100 for total scale and 8/70 for Factor 2 subscale
17/100 for total scale and 7 or 8/70 for Factor 2 subscale
0.25 (number of positive symptoms divided by number of answered questions)
96 %/56 %
92.1 %/81.2 %
98 %/74 %
82.2 %/86.9 %
87.9 %/81.3 %(subscale)
85 %/81 %
90 %/82 %(subscale)
93.8 %/87.2 %
91.4 %/85.7 %
100 %/55.6 %
Community-based prevalence studies of RBD
Prevalence of RBD
95 % CI
Chiu et al 
A representative sample of 1034 elderly, aged 70 years or above
Screening question, and those who had positive response underwent sleep studies
0.01 % to 0.76 %
Ohayon et al 
Finland, Germany, Italy, Portugal, Spain and the United Kingdom
A random stratified sample of 19,961 participants from the general population, 15 years and older
1.5 % to 1.8 %
Kang et al 
Among 696 random sampling subjects aged 60 years or older, 348 subjects underwent vPSG
0.54 % to 3.49 %
et al 
(Bruneck Study Cohort)
456 participants without Parkinson’s disease
456 participants without Parkinson’s disease
456 participants without Parkinson’s disease,
456 participants without PD aged 60 years or older
3.0 % to 7.0 %
5.6 %–10.5 %
A door-to-door survey including 31202 residents
4.6 % to 5.1 %
In our study, we found a significant association between PD and possible RBD based on RBD1Q-C screening. This finding was consistent with several other studies. Schenk et al. reported that 11 of 29 idiopathic RBD (iRBD) subjects (38 %) developed parkinsonism nearly 4 years after the diagnosis of iRBD and 13 years after the onset of RBD symptoms . In a second series, 26 of 93 iRBD patients (28 %) developed PD, DLB or MSA after a mean follow-up of 5 years . Iranzo et al. reported that 31 of 44 iRBD patients (70.4 %) developed a defined synucleinopathy disorder after a mean follow-up of 10.5 years . These results supported the hypothesis of Braak and colleagues, which suggested that the preclinical stages 1 and 2 of PD start at the olfactory amd medullary area of the brainstem .
Some limitations should be noted. Firstly, for the validation study of RBD1Q-C, the number of subjects recruited was small and thus may overestimate the sensitivity, specificity, PPV and NPV. In addition, subjects who know RBD might affect their response to the RBD1Q-C . For prevalence study, our population was from East China, thus not representing the whole country. Also, RBD1Q-C has moderate false-positive rates and low PPV, diagnosis of pRBD was based on RBD1C questionnaire without PSG confirming, which might result in an overestimation of pRBD prevalence in our study. For PD and RBD study, we adopted two-steps of diagnostic procedure and reached the final diagnosis of PD by movement disorders specialists through exclusive investigations. However, it is possible that some mild parkinsonism cases were not detected by local doctors and therefore affected the result of PD-pRBD association study.
Overall, we demonstrated that a single question-based questionnaire (RBD1Q-C) was sensitive to screen pRBD in large population. Using this tool, we identified the prevalence of pRBD was 4.9 % in a rural community and associated with Parkinson’s disease.
RBD1Q-C was shown to be a useful screening tool with a high sensitivity of 100 % and a moderate specificity of 55.6 %. Based on the RBD1Q-C, we found that the prevalence of pRBD was 4.9 % in Chinese rural population aged ≥20 years old and associated with odds of PD, calling for more attention from patients, caregivers and physicians.
DLB, lewy body dementia; MSA, multiple system atrophy; MSQ, mayo sleep questionnaire; NPV, negative predictive value; PD, Parkinson’s disease; PPV, positive predictive value; pRBD, probable REM sleep behavior disorder; PSG, polysomnographic; RBD, REM sleep behavior disorder; RBD1Q-C, Chinese REM sleep behavior disorder single question; RBD-I, innsbruck RBD inventory; RBDQ-HK, REM sleep behavior disorder screening questionnaire -Hong Kong; RBDSQ, REM sleep behavior disorder screening questionnaire
We thank Dr. Yanqing Lu and other doctors from Malu medical center for their support to our epidemiology study.
This study was supported by grants from the National Program of Basic Research (2011CB504104) of China, National Natural Science Fund (91332107, 81371407 and 81571103).
Availability of data and materials
The datasets supporting the conclusions of this article are available in the manuscript.
JFM designed the study, diagnosis of PD and revised the manuscript. MMH collected clinical information of sample and drafted the manuscript. XG supervised the study and revised the manuscript. HDT helped to confirm the diagnosis of PD. LFZ and LL were in charge of organization of patient screening and follow-up. YZ, GL, SYZ, SSC and JJD entered the data into computer. JL did the PSG study of probable RBD and controls. SDC supervised study and revised the manuscript. All authors have read and approved of the final version of the manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The study was approved by the Institutional Ethics Committee of Shanghai Jiao Tong University School of Medicine ((2011) ethics committee No.13). Written consent form to use their clinical data was obtained from each participant.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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