Hatch, SL;
Woodhead, C;
Frissa, S;
Fear, NT;
Verdecchia, M;
Stewart, R;
Reichenberg, A;
... SELCoH Study Team, .; + view all
(2012)
Importance of thinking locally for mental health: data from cross-sectional surveys representing South East London and England.
PLoS One
, 7
(12)
, Article e48012. 10.1371/journal.pone.0048012.
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Abstract
Reliance on national figures may be underestimating the extent of mental ill health in urban communities. This study demonstrates the necessity for local information on common mental disorder (CMD) and substance use by comparing data from the South East London Community Health (SELCoH) study with those from a national study, the 2007 English Adult Psychiatric Morbidity Study (APMS).
| Type: | Article |
|---|---|
| Title: | Importance of thinking locally for mental health: data from cross-sectional surveys representing South East London and England. |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1371/journal.pone.0048012 |
| Publisher version: | http://dx.doi.org/10.1371/journal.pone.0048012 |
| Language: | English |
| Additional information: | © 2012 Hatch et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This research was supported by the Biomedical Research Nucleus data management and informatics facility at South London and Maudsley NHS Foundation Trust, which is funded by the National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London and a joint infrastructure grant from Guy's and St Thomas' Charity and the Maudsley Charity. These funders had no involvement in study design, data collection, analysis or the decision to submit for publication. The Department of Health funded the APMS 2007 and had no involvement in study design, data collection, analysis or the decision to submit for publication. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > IoN RLW Inst of Neurological Sci UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Applied Health Research |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1381537 |
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