Final published version
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Demographic predictors of wellbeing in Carers of people with psychosis: Secondary analysis of trial data
AU - Hazell, C.M.
AU - Hayward, M.
AU - Lobban, F.
AU - Pandey, A.
AU - Pinfold, V.
AU - Smith, H.E.
AU - Jones, C.J.
PY - 2020/6/2
Y1 - 2020/6/2
N2 - 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.
AB - 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.
KW - Carer
KW - Demographic
KW - Mental health
KW - Predictors
KW - Psychosis
KW - Wellbeing
U2 - 10.1186/s12888-020-02691-0
DO - 10.1186/s12888-020-02691-0
M3 - Journal article
C2 - 32487127
VL - 20
JO - BMC Psychiatry
JF - BMC Psychiatry
SN - 1471-244X
IS - 1
M1 - 269
ER -