PMID- 16495294
OWN - NLM
STAT- MEDLINE
DCOM- 20070831
LR  - 20151119
IS  - 0002-0729 (Print)
IS  - 0002-0729 (Linking)
VI  - 35
IP  - 2
DP  - 2006 Mar
TI  - Predictors of the quality of life of older people with heart failure recruited 
      from primary care.
PG  - 172-7
AB  - BACKGROUND: Current understanding of quality of life in heart failure is largely 
      derived from clinical trials. Older people, women and those with co-morbidities 
      are underrepresented in these. Little is known about factors predictive of 
      quality of life amongst older people with heart failure recruited from community 
      settings. OBJECTIVE: To identify factors predictive of quality of life amongst 
      older people recruited from community settings. DESIGN: prospective questionnaire 
      survey. SETTING: General practice surgeries located in four areas of the UK: 
      Bradford, Barnsley, East Devon and West Hampshire. SUBJECTS: A total of 542 
      people aged >60 years with heart failure. METHODS: Participants completed a 
      postal questionnaire, which included a disease-specific measure (Kansas City 
      Cardiomyopathy Questionnaire), a generic quality-of-life measure (SF-36) and 
      sociodemographic information. RESULTS: A multiple linear regression analysis 
      identified the following factors as predictive of decreased quality of life: 
      being female, being in New York Heart Association (NYHA) functional class III or 
      IV, showing evidence of depression, being in socioeconomic groups III-V and 
      experiencing two or more co-morbidities. Older age was associated with decreased 
      quality of life, as measured by a generic health-related quality-of-life tool 
      (the SF-36 mental and physical health functioning scales) but not by a 
      disease-specific tool (the Kansas City Cardiomyopathy Questionnaire). CONCLUSION: 
      Findings from the study suggest that quality of life for older people with heart 
      failure can be described as challenging and difficult, particularly for women, 
      those in a high NYHA class, patients showing evidence of depression, patients in 
      socioeconomic groups III-V, those experiencing two or more co-morbidities and the 
      'oldest old'. Such information can help clinicians working with older people 
      identify those at risk of reduced quality of life and target interventions 
      appropriately.
FAU - Gott, Merryn
AU  - Gott M
AD  - Sheffield Institute for Studies on Ageing, University of Sheffield, Elmfield, 
      Northumberland Road, Sheffield S10 2TU, UK. m.gott@sheffield.ac.uk
FAU - Barnes, Sarah
AU  - Barnes S
FAU - Parker, Chris
AU  - Parker C
FAU - Payne, Sheila
AU  - Payne S
FAU - Seamark, David
AU  - Seamark D
FAU - Gariballa, Salah
AU  - Gariballa S
FAU - Small, Neil
AU  - Small N
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - England
TA  - Age Ageing
JT  - Age and ageing
JID - 0375655
SB  - IM
MH  - Age Factors
MH  - Aged
MH  - Aged, 80 and over
MH  - Chi-Square Distribution
MH  - Comorbidity
MH  - Depression/complications
MH  - Female
MH  - Heart Failure/complications/*psychology
MH  - Humans
MH  - Linear Models
MH  - Male
MH  - Marital Status
MH  - Middle Aged
MH  - Predictive Value of Tests
MH  - Primary Health Care
MH  - Prospective Studies
MH  - *Quality of Life
MH  - Severity of Illness Index
MH  - Sex Factors
MH  - Socioeconomic Factors
MH  - Surveys and Questionnaires
EDAT- 2006/02/24 09:00
MHDA- 2007/09/01 09:00
CRDT- 2006/02/24 09:00
PHST- 2006/02/24 09:00 [pubmed]
PHST- 2007/09/01 09:00 [medline]
PHST- 2006/02/24 09:00 [entrez]
AID - 35/2/172 [pii]
AID - 10.1093/ageing/afj040 [doi]
PST - ppublish
SO  - Age Ageing. 2006 Mar;35(2):172-7. doi: 10.1093/ageing/afj040.