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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Demographic predictors of wellbeing in Carers of people with psychosis: Secondary analysis of trial data. / Hazell, C.M.; Hayward, M.; Lobban, F. et al.
In: BMC Psychiatry, Vol. 20, No. 1, 269, 02.06.2020.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Hazell, CM, Hayward, M, Lobban, F, Pandey, A, Pinfold, V, Smith, HE & Jones, CJ 2020, 'Demographic predictors of wellbeing in Carers of people with psychosis: Secondary analysis of trial data', BMC Psychiatry, vol. 20, no. 1, 269. https://doi.org/10.1186/s12888-020-02691-0

APA

Hazell, C. M., Hayward, M., Lobban, F., Pandey, A., Pinfold, V., Smith, H. E., & Jones, C. J. (2020). Demographic predictors of wellbeing in Carers of people with psychosis: Secondary analysis of trial data. BMC Psychiatry, 20(1), Article 269. https://doi.org/10.1186/s12888-020-02691-0

Vancouver

Hazell CM, Hayward M, Lobban F, Pandey A, Pinfold V, Smith HE et al. Demographic predictors of wellbeing in Carers of people with psychosis: Secondary analysis of trial data. BMC Psychiatry. 2020 Jun 2;20(1):269. doi: 10.1186/s12888-020-02691-0

Author

Hazell, C.M. ; Hayward, M. ; Lobban, F. et al. / Demographic predictors of wellbeing in Carers of people with psychosis: Secondary analysis of trial data. In: BMC Psychiatry. 2020 ; Vol. 20, No. 1.

Bibtex

@article{bc57661d28f04401a92c7d58ae17c7a8,
title = "Demographic predictors of wellbeing in Carers of people with psychosis: Secondary analysis of trial data",
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.",
keywords = "Carer, Demographic, Mental health, Predictors, Psychosis, Wellbeing",
author = "C.M. Hazell and M. Hayward and F. Lobban and A. Pandey and V. Pinfold and H.E. Smith and C.J. Jones",
year = "2020",
month = jun,
day = "2",
doi = "10.1186/s12888-020-02691-0",
language = "English",
volume = "20",
journal = "BMC Psychiatry",
issn = "1471-244X",
publisher = "NLM (Medline)",
number = "1",

}

RIS

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 -