scholarly journals Exploring Patient Preference Heterogeneity for Pharmacological Treatments for Chronic Pain: A Latent Class Analysis

2021 ◽  
Author(s):  
DA Walsh ◽  
M Boeri ◽  
L Abraham ◽  
J Atkinson ◽  
AG Bushmakin ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Latent Class Analysis ◽  
Patient Preference ◽  
Latent Class ◽  
Preference Heterogeneity ◽  
Class Analysis ◽  
Pharmacological Treatments

scholarly journals A Step Towards a Better Understanding of Pain Phenotypes: Latent Class Analysis in Chronic Pain Patients Receiving Multimodal Inpatient Treatment

2020 ◽  
Vol Volume 13 ◽  
pp. 1023-1038
Author(s):  
Alexander Obbarius ◽  
Felix Fischer ◽  
Gregor Liegl ◽  
Nina Obbarius ◽  
Jan van Bebber ◽  
...  
Keyword(s):  
Chronic Pain ◽  
Latent Class Analysis ◽  
Inpatient Treatment ◽  
Latent Class ◽  
Class Analysis ◽  
Chronic Pain Patients ◽  
Pain Patients

Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review

2017 ◽  
Vol 36 (2) ◽  
pp. 175-187 ◽  
Author(s):  
Mo Zhou ◽  
Winter Maxwell Thayer ◽  
John F. P. Bridges
Keyword(s):  
Systematic Review ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Preference Heterogeneity ◽  
Class Analysis ◽  
Model Preference

scholarly journals Symptoms-Based Phenotypes Among Women With Dysmenorrhea: A Latent Class Analysis

2017 ◽  
Vol 40 (10) ◽  
pp. 1452-1468 ◽  
Author(s):  
Chen X. Chen ◽  
Susan Ofner ◽  
Giorgos Bakoyannis ◽  
Kristine L. Kwekkeboom ◽  
Janet S. Carpenter
Keyword(s):  
Chronic Pain ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Gastrointestinal Symptoms ◽  
Cross Sectional Study ◽  
Class Analysis ◽  
Cross Sectional ◽  
Race Ethnicity ◽  
Treatment Responses ◽  
Chronic Pain Conditions

Dysmenorrhea is highly prevalent and may increase women’s risk for developing other chronic pain conditions. Although it is highly variable, symptom-based dysmenorrhea phenotypes have not been identified. The aims of the study were to identify symptom-based dysmenorrhea phenotypes and examine their relationships with demographic and clinical characteristics. In a cross-sectional study, 762 women with dysmenorrhea rated severity of 14 dysmenorrhea-related symptoms. Using latent class analysis, we identified three distinctive phenotypes. Women in the “mild localized pain” phenotype ( n = 202, 26.51%) had mild abdominal cramps and dull abdominal pain/discomfort. Women in the “severe localized pain” phenotype ( n = 412, 54.07%) had severe abdominal cramps. Women in the “multiple severe symptoms” phenotype ( n = 148, 19.42%) had severe pain at multiple locations and multiple gastrointestinal symptoms. Race, ethnicity, age, and comorbid chronic pain conditions were significantly associated with phenotypes. Identification of these symptom-based phenotypes provides a foundation for research examining genotype–phenotype associations, etiologic mechanisms, and/or variability in treatment responses.

An intersectional identity approach to chronic pain disparities using latent class analysis

Pain ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Andrea K. Newman ◽  
Beverly E. Thorn
Keyword(s):  
Chronic Pain ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis

Pain catastrophizing and mental health phenotypes in adults with refractory chronic pain: A latent class analysis

2021 ◽  
Author(s):  
Deepika E. Slawek ◽  
Madiha Syed ◽  
Chinazo O. Cunningham ◽  
Chenshu Zhang ◽  
Jonathan Ross ◽  
...  
Keyword(s):  
Mental Health ◽  
Chronic Pain ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Pain Catastrophizing ◽  
Class Analysis

scholarly journals Latent Class Analysis of the Short and Long Forms of the Chronic Pain Acceptance Questionnaire: Further Examination of Patient Subgroups

2015 ◽  
Vol 16 (11) ◽  
pp. 1095-1105 ◽  
Author(s):  
Graciela Rovner ◽  
Kevin E. Vowles ◽  
Björn Gerdle ◽  
David Gillanders
Keyword(s):  
Chronic Pain ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Pain Acceptance ◽  
Patient Subgroups

scholarly journals Inferring customer heterogeneity for rural tourism: A latent class approach based on a best-worst choice modelling

2021 ◽  
Vol 67 (No. 7) ◽  
pp. 266-276
Author(s):  
Wookhyun An ◽  
Silverio Alarcón
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Demographic Factors ◽  
Rural Tourism ◽  
Preference Heterogeneity ◽  
Class Analysis ◽  
Choice Modelling ◽  
Customer Heterogeneity ◽  
Socio Demographic Factors

This research aims to analyse customers' preference heterogeneity for rural tourism in Spain and explore their preferences' personal and socio-demographic factors. To achieve this purpose, latent class analysis with the best-worst choice modelling has been applied through conducting a survey on 452 customers in Madrid and Barcelona. The results show that there are five classes in the Spanish rural tourism market: 'all-around seeker', 'leisure activist', 'culture explorer', 'comfort-driven user', and 'basic value pursuer'. The contribution of this investigation is that it is the first study that applied the latent class analysis with best-worst choice modelling to explore customers' preference heterogeneity for rural tourism.

scholarly journals Understanding Filipino Rice Farmer Preference Heterogeneity for Varietal Trait Improvements: A Latent Class Analysis

2020 ◽  
Vol 72 (1) ◽  
pp. 134-157
Author(s):  
Rio Maligalig ◽  
Matty Demont ◽  
Wendy J. Umberger ◽  
Alexandra Peralta
Keyword(s):  
Latent Class Analysis ◽  
Latent Class ◽  
Preference Heterogeneity ◽  
Class Analysis ◽  
Rice Farmer
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