A
Ann Morgan
Researcher at University of New South Wales
Publications - 7
Citations - 212
Ann Morgan is an academic researcher from University of New South Wales. The author has contributed to research in topics: Survival rate & Social support. The author has an hindex of 6, co-authored 7 publications receiving 201 citations. Previous affiliations of Ann Morgan include Sydney South West Area Health Service.
Papers
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Journal ArticleDOI
Tumor Pathology and Long-Term Survival in Emergency Colorectal Cancer
Siu Kin C. Wong,Bin Jalaludin,Bin Jalaludin,Matthew J. Morgan,Angela S. Berthelsen,Ann Morgan,Andrew H. Gatenby,Stephen B. Fulham +7 more
TL;DR: Advanced tumor pathology is a basis for poor long-term survival in emergency colorectal cancers.
Journal ArticleDOI
Psychosocial factors associated with depression : A study of socially disadvantaged women with young children
TL;DR: The 6-month prevalence of major depression was 17% and the lifetime prevalence 29%.
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Is early separation anxiety a specific precursor of panic disorder-agoraphobia? A community study.
Derrick Silove,Mark Harris,Ann Morgan,Philip Boyce,Vijaya Manicavasagar,Dusan Hadzi-Pavlovic,Kay Wilhelm +6 more
TL;DR: Although limited by its retrospective design and the problem of co-morbidity in subclassifying the anxiety disorders, the present study does provide added support for the hypothesis that there is a developmental link between early separation anxiety and panic disorder.
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Surgical management of colorectal cancer in south-western Sydney 1997-2001: a prospective series of 1293 unselected cases from six public hospitals.
S. K. Cyril Wong,Andrew Kneebone,Matthew J. Morgan,Christopher Henderson,Ann Morgan,Bin Jalaludin +5 more
TL;DR: The aim of the present study is to provide local data for the management of colorectal cancers in the south‐western Sydney health area from 1997 to 2001.
Journal ArticleDOI
Has social psychiatry met its Waterloo? Methodological and ethical issues in a community study.
TL;DR: Design strategies which were adopted to reduce the confounding between variables resulting from methodological limitations resulting from these limitations are discussed and the effectiveness is evaluated.