Demographic predictors of wellbeing in Carers of people with psychosis: secondary analysis of trial data

Hazell, C.M., Hayward, M., Lobban, F., Pandey, A., Pinfold, V., Smith, H.E. and Jones, C.J. 2020. Demographic predictors of wellbeing in Carers of people with psychosis: secondary analysis of trial data. BMC Psychiatry. 20 269. https://doi.org/10.1186/s12888-020-02691-0

TitleDemographic predictors of wellbeing in Carers of people with psychosis: secondary analysis of trial data
TypeJournal article
AuthorsHazell, C.M., Hayward, M., Lobban, F., Pandey, A., Pinfold, V., Smith, H.E. and Jones, C.J.
Abstract

Background: Carers of people with psychosis are at a greater risk of physical and mental health problems
compared to the general population. Yet, not all carers will experience a decline in health. This predicament has
provided the rationale for research studies exploring what factors predict poor wellbeing in carers of people with
psychosis. Our study builds on previous research by testing the predictive value of demographic variables on carer
wellbeing within a single regression model.
Methods: To achieve this aim, we conducted secondary analysis on two trial data sets that were merged and
recoded for the purposes of this study. Results: Contrary to our hypotheses, only carer gender and age predicted
carer wellbeing; with lower levels of carer wellbeing being associated with being female or younger (aged under
50). However, the final regression model explained only 11% of the total variance.
Conclusions: Suggestions for future research are discussed in light of the limitations inherent in secondary analysis
studies. Further research is needed where sample sizes are sufficient to explore the interactive and additive impact
of other predictor variables.

KeywordsCarer
Psychosis
Mental health
Wellbeing
Demographic
Predictors
Article number269
JournalBMC Psychiatry
Journal citation20
ISSN1471-244X
Year2020
PublisherBMC
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1186/s12888-020-02691-0
Publication dates
Published02 Jun 2020

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