A latent profile analysis to assess physical, cognitive and emotional symptom clusters in women with breast cancer.
Current research on the physical and psychological functioning of breast cancer survivors often takes an approach where symptoms are studied independently even though they often occur in clusters This paper aims to identify physical and psychological symptom clusters among breast cancer survivors wh...
| Publicado en: | Psychology & Health Vol. 37; no. 10; pp. 1253 - 1270 |
|---|---|
| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Oct2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159325518&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159325518 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08870446 7WK jtl: Psychology & Health issn: 08870446 maglogo: N pubinfo: dt: Oct2022 vid: 37 iid: 10 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 159325518 151170408 159325518 159325518 10.1080/08870446.2021.1941960 159325518 ppf: 1253 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A latent profile analysis to assess physical, cognitive and emotional symptom clusters in women with breast cancer. aug: au: St Fleur, Ruth G. St. George, Sara M. Ream, Molly Antoni, Michael H. affil: Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA sug: subj: Breast Neoplasms Symptoms Cancer Survivors Healthcare Disparities Cognition Postoperative Period Human Female Neoplasm Staging Latent Structure Analysis Scales Questionnaires Depression Impact of Events Scale Social Class Secondary Analysis Descriptive Statistics Odds Ratio Confidence Intervals Coping Female ab: Current research on the physical and psychological functioning of breast cancer survivors often takes an approach where symptoms are studied independently even though they often occur in clusters This paper aims to identify physical and psychological symptom clusters among breast cancer survivors while assessing clinical, psychosocial and demographic characteristics that predict subgroup membership. Using post-surgical data collected from 240 women with stage 0–III breast cancer, symptom clusters were identified using latent profile analysis of patient-reported symptoms. Baseline measures included the Pittsburg Sleep Quality Index, the Fatigue Symptom Inventory, the Hamilton Rating Scales for depression and anxiety and the Impact of Event Scale. Three distinct classes were identified: (1) mild physical, cognitive and emotional symptoms, (2) moderate across all domains and (3) high levels of all symptoms. Lower socio-economic status, minority ethnicity, younger age, advanced disease stage along with lower self-efficacy and less internal locus of control were significantly associated with a higher likelihood of class 3 membership. By identifying those most at risk for severe physical and psychological symptoms in the post-surgical period, our results can guide the development of tailored interventions to optimise quality of life during breast cancer treatment. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|