Symptom Cluster Research With Biomarkers and Genetics Using Latent Class Analysis

Conley, Samantha

doi:10.1177/0193945916679812

Cited by 23 publications

(24 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Person-oriented approaches, such as latent class and cluster analyses, are used to identify subgroups of people who exhibit similar patterns of characteristics. Common person-oriented clustering methods include latent class and cluster analysis (Bergman & Trost, 2006;Collins & Lanza, 2010;Conley, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…Person‐oriented approaches, such as latent class and cluster analyses, are used to identify subgroups of people who exhibit similar patterns of characteristics. Common person‐oriented clustering methods include latent class and cluster analysis (Bergman & Trost, ; Collins & Lanza, ; Conley, ). The person‐oriented approach is particularly useful in uncovering subgroups in heterogeneous populations because the structure of the variables does not have to remain constant across the population (Magnusson, ).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Symptom clusters in adults with inflammatory bowel disease

Conley

Proctor

Jeon

et al. 2017

Research in Nursing & Health

Self Cite

View full text Add to dashboard Cite

Symptoms (pain, fatigue, sleep disturbance, depression, and anxiety) in inflammatory bowel disease (IBD) are associated with reduced quality of life. Understanding how IBD symptoms cluster and the clinical and demographic factors associated with symptom clusters will enable focused development of symptom management interventions. The study purposes were to (a) identify symptom cluster membership among adults with IBD and (b) examine associations between demographic (age, gender, race/ethnicity, and education) and clinical factors (smoking status, time since diagnosis, medication type, IBD type, disease activity) and membership in specific symptom cluster groups. We conducted a retrospective study of data from the Crohn’s and Colitis Foundation of America’s Partners Cohort and used Patient Reported Outcome Measurement Information System (PROMIS) measures to measure pain interference, fatigue, sleep disturbance, anxiety, and depression. The sample included 5,296 participants with IBD (mean age 44, 72% female). In latent class analysis, four groups of participants were identified based on symptoms: “low symptom burden” (26% of sample), “high symptom burden” (38%), “physical symptoms” (22%), and “psychological symptoms” (14%). In multinomial regression, female gender, smoking, corticosteroids, Crohn’s disease, and active disease state were associated with membership in the high symptom burden group. Additional research is needed to test interventions that may be effective at reducing symptom burden for individuals with IBD.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Symptom clusters in adults with inflammatory bowel disease

Conley

Proctor

Jeon

et al. 2017

Research in Nursing & Health

Self Cite

View full text Add to dashboard Cite

show abstract

“…We used LCA to identify latent classes of persons with similar IBS profiles based on symptom‐related variables (i.e., groups of daily diary symptoms identified by EFA, cognitive beliefs about IBS and IBS‐QOL). Individuals were classified according to their most likely latent class membership (Conley, ; Muthén & Muthén, ). Statistical fit indices were used to determine the number of latent classes in the final model and to evaluate model fit.…”

Section: Methodsmentioning

confidence: 99%

“…Statistical methods such as factor analysis can be used to examine the way in which symptoms are related to one another. An alternative approach to this variable‐centered approach is to evaluate subgroups of individuals with similar symptom patterns—a person‐centered approach (Conley, ). Using latent class analysis (LCA), for example, we can identify subgroups (i.e., latent classes) of individual patients sharing similar patterns of symptom characteristics (Conley, ).…”

Section: Introductionmentioning

confidence: 99%

Symptom‐based latent classes of persons with irritable bowel syndrome

Han

Pike

Jarrett

et al. 2019

Research in Nursing & Health

View full text Add to dashboard Cite

A large amount of interindividual variability exists in symptom experiences of persons with irritable bowel syndrome (IBS). Thus, consideration of multiple symptoms to identify distinct symptom subgroups may be useful in directing personalized health strategies for symptom management. We aimed to identify latent classes (i.e., subgroups) of persons with IBS who share similar patterns of symptoms using symptom‐related variables (six groups of daily diary symptoms, cognitive beliefs about IBS, and IBS quality of life [QOL]); and to examine how subgroups differed in patient characteristics. Data were derived from a baseline assessment of men and women enrolled in two cognitively‐focused intervention trials (N = 332). Using latent class analysis, four latent classes were identified: Class 1 (low symptoms and good QOL, n = 153), Class 2 (low symptoms and moderate QOL, n = 106), Class 3 (high symptoms with diarrhea and poor QOL, n = 38), and Class 4 (high symptoms with low diarrhea and moderate QOL, n = 35). Diarrhea, being female, less formal education, unemployment, and previous history of major depressive disorder were associated with membership in Class 3. Using these distinct symptom profiles, the next step is to explore underlying mechanisms accounting for symptom burden with the goal of designing tailored interventions to reduce that burden.

show abstract

“…In the era of personalized medicine, identification of molecular markers that can predict patients at risk of developing these debilitating complaints in the form of symptom cluster is important. Recent evidences support the fact that fatigue, depression, pain and sleep disturbances share some common pathways that make them a symptom cluster [7,125,126].…”

Section: Genetic Polymorphisms and Symptom Clustermentioning

confidence: 99%

Genetic polymorphisms associated with common symptoms experienced by breast cancer patients

Abubakar

Gan²

2018

biomedicalresearch

View full text Add to dashboard Cite

The recent advances have led to a considerable increase in the proportion of breast cancer survivors, however, majority of them experience symptoms such as fatigue, pain, depression and sleep disturbances that impair their Quality of Life (QOL) significantly. In addition, a significant inter-individual variability in QOL of breast cancer patients exists which has been partly attributed to genetic variations. However, details of how these variations are influenced by genetic factors remain largely unknown. Therefore, detecting patients with greater susceptibility to reduced QOL using genetic markers may help in designing intervention strategies for personalized medicine. Although limited number of studies have reported on the associations between genetic polymorphisms and QOL, cytokine gene polymorphisms has consistently been linked to increased susceptibility to the development of common symptoms (fatigue, pain, depression and sleep disturbances) in breast cancer patients. More interestingly, these symptoms share some common molecular pathways making it possible to consider them as symptom cluster. In this review, the relationship between genetic variation and common symptoms among breast cancer patients is discussed. In order for genetic factors to be integrated into clinical practice and nursing care of breast cancer patients with impaired QOL, additional studies are encouraged to understand the underlying molecular mechanisms involved in the development of these symptoms and their impact on QOL for identification of patients based on the presence of a symptom cluster using genetic biomarkers.

show abstract

Symptom Cluster Research With Biomarkers and Genetics Using Latent Class Analysis

Cited by 23 publications

References 45 publications

Symptom clusters in adults with inflammatory bowel disease

Symptom clusters in adults with inflammatory bowel disease

Symptom‐based latent classes of persons with irritable bowel syndrome

Genetic polymorphisms associated with common symptoms experienced by breast cancer patients

Contact Info

Product

Resources

About