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Published in: International Journal of Public Health 2/2018

Open Access 01-03-2018 | Original Article

Predicting homeless people’s perceived health after entering the social relief system in The Netherlands

Authors: Jorien van der Laan, Barbara van Straaten, Sandra N. Boersma, Gerda Rodenburg, Dike van de Mheen, Judith R. L. M. Wolf

Published in: International Journal of Public Health | Issue 2/2018

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Abstract

Objectives

We explored whether changes in the perceived health of homeless people after entering the social relief system (SRS) in The Netherlands were predicted by housing, income, hours of work, social support, unmet care needs, arrests, physical and mental health, substance use, and experiences of autonomy, competence and relatedness, in addition to perceived health at baseline, demographics, suspected intellectual disability, the duration of homelessness and the company of children in the shelter facility.

Methods

A hierarchical regression analysis was used to explore the significant predictors of the perceived health of 344 homeless persons 18 months after entering the social relief system.

Results

A decrease in psychological distress and an increase in hours of (paid/voluntary) work as well as competence predicted a better perceived health.

Conclusions

Perceived health is not only influenced by objective circumstances related to work and mental health, but also self-determination, as shown by the influence of competence. Services should aim to reduce psychological distress of homeless people, support them in increasing their working hours and focus on strengthening their competence.
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Metadata
Title
Predicting homeless people’s perceived health after entering the social relief system in The Netherlands
Authors
Jorien van der Laan
Barbara van Straaten
Sandra N. Boersma
Gerda Rodenburg
Dike van de Mheen
Judith R. L. M. Wolf
Publication date
01-03-2018
Publisher
Springer International Publishing
Published in
International Journal of Public Health / Issue 2/2018
Print ISSN: 1661-8556
Electronic ISSN: 1661-8564
DOI
https://doi.org/10.1007/s00038-017-1026-x

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