scholarly journals Sleep disturbance subtypes in Parkinson’s disease based on the cross-culturally validated Korean version of the Parkinson’s Disease Sleep Scale-2

2019 ◽  
Author(s):  
Hui-Jun Yang ◽  
Han-Joon Kim ◽  
Seong-Beom Koh ◽  
Joong-Seok Kim ◽  
Tae-Beom Ahn ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Latent Class Analysis ◽  
Sleep Disturbance ◽  
Latent Class ◽  
Intraclass Correlation ◽  
Class Analysis ◽  
Korean Version ◽  
The Cross

Abstract Background: Sleep-related problems in Parkinson’s disease (PD) have received greater attention in recent years due to their clinical influence on morbidity, disability, and the health-related quality of life (HRQoL) of patients. This study aimed to evaluate the clinimetric properties of the Korean version of the Parkinson’s Disease Sleep Scale-2 (K-PDSS-2), and to analyze whether distinct sleep disturbance subtypes could be empirically identified in patients with PD based on the cross-culturally validated K-PDSS-2. Methods: The internal consistency, test-retest reliability, scale precision, and convergent validity of the K-PDSS-2 were assessed in a nationwide, multicenter study of 122 patients with PD. Latent class analysis (LCA) was used to derive subgroups of patients who experienced similar patterns of sleep-related problems and nocturnal disabilities. Results: The mean total K-PDSS-2 scores were 11.67 ± 9.87 (mean ± standard deviation) at baseline, and 12.61 ± 11.17 upon follow up testing. The Cronbach’s α coefficients of the total K-PDSS-2 score at baseline and at follow up testing were 0.851 and 0.880 respectively. Intraclass correlation coefficient over the 2-week period ranged from 0.672 to 0.848. The total K-PDSS-2 score was strongly correlated to HRQoL measures and other corresponding nonmotor scales. LCA indicated three distinct sleep disturbance classes in the study patients, namely “less troubled sleepers”, “PD-related nocturnal difficulties”, and “disturbed sleepers”. Conclusions: The K-PDSS-2 showed good clinimetric attributes in accordance with prior studies that were using the original version of the PDSS-2, therefore confirming the cross-cultural usefulness of the scale. Further, this study documents the first application of an LCA approach for identifying sleep disturbance subtypes in patients with PD. Keywords: Parkinson’s disease; sleep; PDSS-2; validity; reliability; Korean version; latent class analysis.

Diagnostic criteria for depression in Parkinson's disease: A study of symptom patterns using latent class analysis

2011 ◽  
Vol 26 (12) ◽  
pp. 2239-2245 ◽  
Author(s):  
Sergio Starkstein ◽  
Milan Dragovic ◽  
Ricardo Jorge ◽  
Simone Brockman ◽  
Marcelo Merello ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Latent Class Analysis ◽  
Diagnostic Criteria ◽  
Latent Class ◽  
Class Analysis ◽  
Symptom Patterns

scholarly journals Subtypes of Sleep Disturbance in Parkinson's Disease Based on the Cross-Culturally Validated Korean Version of Parkinson's Disease Sleep Scale-2

2020 ◽  
Vol 16 (1) ◽  
pp. 66
Author(s):  
Hui-Jun Yang ◽  
Han-Joon Kim ◽  
Seong-Beom Koh ◽  
Joong-Seok Kim ◽  
Tae-Beom Ahn ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Disturbance ◽  
Korean Version ◽  
The Cross

scholarly journals Neuropsychological Subgroups in Non-Demented Parkinson’s Disease: A Latent Class Analysis

2017 ◽  
Vol 7 (2) ◽  
pp. 385-395 ◽  
Author(s):  
Laura Brennan ◽  
Kathryn M. Devlin ◽  
Sharon X. Xie ◽  
Dawn Mechanic-Hamilton ◽  
Baochan Tran ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Neuropsychological Subgroups

One-year follow up of cardiac anxiety after a myocardial infarction: A latent class analysis

2012 ◽  
Vol 73 (5) ◽  
pp. 362-368 ◽  
Author(s):  
M.H.C.T. van Beek ◽  
M. Mingels ◽  
R.C. Oude Voshaar ◽  
A.J.L.M. van Balkom ◽  
M. Lappenschaar ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Cardiac Anxiety ◽  
One Year

Adherence styles of schizophrenia patients identified by a latent class analysis of the Medication Adherence Rating Scale (MARS): A six-month follow-up study

2012 ◽  
Vol 200 (2-3) ◽  
pp. 83-88 ◽  
Author(s):  
Susanne Jaeger ◽  
Carmen Pfiffner ◽  
Prisca Weiser ◽  
Reinhold Kilian ◽  
Thomas Becker ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Rating Scale ◽  
Class Analysis ◽  
Follow Up Study

A Latent Class Analysis Approach to Extradyadic Involvement

2018 ◽  
Vol 9 ◽  
Author(s):  
Lindsey M. Rodriguez ◽  
Angelo M. DiBello ◽  
Camilla S. Øverup ◽  
Helen Lee Lin
Keyword(s):  
Latent Class Analysis ◽  
Undergraduate Students ◽  
Romantic Relationship ◽  
Latent Class ◽  
Investment Model ◽  
Relationship Functioning ◽  
Class Analysis ◽  
Sexual Involvement ◽  
Two Samples

Extradyadic involvement — emotional, romantic, or sexual involvement with another person outside of one's romantic relationship — may have serious personal and relational consequences. The current research examines extradyadic involvement in two samples of individuals in relationships and identifies subgroups of people based on their engagement in different types of extradyadic behaviour. To assess involvement in such behaviour, we created a new behavioural inventory intended to broaden the conceptualisation of types of extradyadic behaviours. Subgroups of individuals who engage in these behaviours were extracted using latent class analysis. Study 1 assessed undergraduate students in relationships (N = 339), and results revealed four classes of individuals: loyal, confiding, deceptive, and unfaithful. Follow-up tests demonstrated that these classes of individuals differed significantly in ways that are consistent with the investment model and attachment theory. Study 2 (N = 202) replicated the four-class solution, as well as the group differences in relationship functioning and attachment orientations. Results suggest theoretically consistent typologies of extradyadic behaviour that may be useful in differentiating deceptive behaviour in close relationships in a more precise way.

scholarly journals Identification of three classes of acute respiratory distress syndrome using latent class analysis

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4592 ◽  
Author(s):  
Zhongheng Zhang
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Latent Class Analysis ◽  
Fluid Balance ◽  
Latent Class ◽  
Distress Syndrome ◽  
Class Analysis ◽  
Class 1

Acute respiratory distress syndrome (ARDS) is a highly heterogeneous syndrome that can exhibit significant differences in the underlying causes, leading to different responses to treatment. It is required to identify subtypes of ARDS to guideline clinical treatment and trial design. The study aimed to identify subtypes of ARDS using latent class analysis (LCA). The study was a secondary analysis of the EDEN study, which was a randomized, controlled, multicenter trial conducted from January 2, 2008 to April 12, 2011. The primary study endpoint was death through 90-day follow up. LCA was performed incorporating variables on day 0 before randomization. The number of classes was chosen by a bootstrapped likelihood ratio test, Bayesian information criterion and the number of patients in each class. A total of 943 patients were enrolled in the study, including 219 (23.2%) non-survivors and 724 (76.8%) survivors. The LCA identified three classes of ARDS. Class 1 (hemodynamically unstable type) had significantly higher mortality rate (p = 0.003) than class 2 (intermediate type) and 3 (stable type) through 90 days follow up. There was significant interaction between cumulative fluid balance and the class (p = 0.02). While more fluid balance was beneficial for class 1, it was harmful for class 2 and 3. In conclusion, the study identified three classes of ARDS, which showed different clinical presentations, responses to fluid therapy and prognosis. The classification system used simple clinical variables and could help to design ARDS trials in the future.

Sign in / Sign up

Export Citation Format

Share Document