Data Insights- Mental Disorder, Occupation Type and Family Demands

Finola R Ferry; Emma Curran; Michael Rosato; Gerard Leavey

doi:10.21251/28k0-1g72

Data Insights- Mental Disorder, Occupation Type and Family Demands

Finola R Ferry, Emma Curran, Michael Rosato, Gerard Leavey

Research output: Other contribution

2 Downloads (Pure)

Abstract

While employment has an overall protective effect against mental ill health, evidence
suggests variation in mental health with respect to occupation types. Individuals who manage multiple roles in relation to childcare and family caregiving may be at increased risk of adverse mental health outcomes due to competing responsibilities
of family and work demands. This programme of work examines mental disorder across occupation types and the association of family demands.

Original language	English
Type	Data Insights document summarising preliminary findings from an administrative data study
Media of output	Published on publications section of ADR UK website
Number of pages	2
DOIs	https://doi.org/10.21251/28k0-1g72
Publication status	Published - Aug 2020

Keywords

mental disorder
occupation
family

Access to Document

10.21251/28k0-1g72

Final publicationFinal published version, 225 KB

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title = "Data Insights- Mental Disorder, Occupation Type and Family Demands",

abstract = "While employment has an overall protective effect against mental ill health, evidencesuggests variation in mental health with respect to occupation types. Individuals who manage multiple roles in relation to childcare and family caregiving may be at increased risk of adverse mental health outcomes due to competing responsibilities of family and work demands. This programme of work examines mental disorder across occupation types and the association of family demands.",

keywords = "mental disorder, occupation, family",

author = "Ferry, {Finola R} and Emma Curran and Michael Rosato and Gerard Leavey",

note = "The Administrative Data Research Network takes privacy protection very seriously. All information that directly identifies individuals will be removed from the datasets by trusted third parties, before researchers get to see it. All researchers using the Network are trained and accredited to use sensitive date safely and ethically, they will only access the data via a secure environment, and all of their findings will be vetted to ensure they adhere to the strictest confidentiality standards. The help provided by the staff of the Administrative Data Research Network Northern Ireland (ADRC-NI) and the Northern Ireland Statistics and Research Agency (NISRA) Research Support Unit is acknowledged. The ADRC-NI is funded by the Economic and Research Council (ESRC). The authors alone are responsible for the interpretation of the data and any views or opinions presented are solely those of the author and do not necessarily represent those of the ADRC-NI. NISRA and Honest Broker Service data has been supplied for the sole purpose of this project. ",

year = "2020",

month = aug,

doi = "10.21251/28k0-1g72",

language = "English",

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AU - Curran, Emma

AU - Rosato, Michael

AU - Leavey, Gerard

N1 - The Administrative Data Research Network takes privacy protection very seriously. All information that directly identifies individuals will be removed from the datasets by trusted third parties, before researchers get to see it. All researchers using the Network are trained and accredited to use sensitive date safely and ethically, they will only access the data via a secure environment, and all of their findings will be vetted to ensure they adhere to the strictest confidentiality standards. The help provided by the staff of the Administrative Data Research Network Northern Ireland (ADRC-NI) and the Northern Ireland Statistics and Research Agency (NISRA) Research Support Unit is acknowledged. The ADRC-NI is funded by the Economic and Research Council (ESRC). The authors alone are responsible for the interpretation of the data and any views or opinions presented are solely those of the author and do not necessarily represent those of the ADRC-NI. NISRA and Honest Broker Service data has been supplied for the sole purpose of this project.

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AB - While employment has an overall protective effect against mental ill health, evidencesuggests variation in mental health with respect to occupation types. Individuals who manage multiple roles in relation to childcare and family caregiving may be at increased risk of adverse mental health outcomes due to competing responsibilities of family and work demands. This programme of work examines mental disorder across occupation types and the association of family demands.

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KW - occupation

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DO - 10.21251/28k0-1g72

M3 - Other contribution

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