TY - JOUR
AU - Shen, Rui
AB - Soc Psychiatry Psychiatr Epidemiol (2014) 49:1805–1821 DOI 10.1007/s00127-014-0891-3 OR IGINAL PAPER Prevalence rates for depression by industry: a claims database analysis • • • Lawson Wulsin Toni Alterman P. Timothy Bushnell Jia Li Rui Shen Received: 28 February 2013 / Accepted: 17 April 2014 / Published online: 8 June 2014 Springer-Verlag (outside the USA) 2014 Abstract Industries with the highest rates tended to be those which, Purpose To estimate and interpret differences in depres- on the national level, require frequent or difficult interac- sion prevalence rates among industries, using a large, tions with the public or clients, and have high levels of group medical claims database. stress and low levels of physical activity. Methods Depression cases were identified by ICD-9 Conclusions Additional research is needed to help iden- diagnosis code in a population of 214,413 individuals tify industries with relatively high rates of depression in employed during 2002–2005 by employers based in wes- other regions and on the national level, and to determine tern Pennsylvania. Data were provided by Highmark, Inc. whether these differences are due in part to specific work (Pittsburgh and Camp Hill, PA). Rates were adjusted for stress exposures and physical inactivity at work. age, gender, 
TI - Prevalence rates for depression by industry: a claims database analysis
JF - Social Psychiatry and Psychiatric Epidemiology
DO - 10.1007/s00127-014-0891-3
DA - 2014-06-08
UR - https://www.deepdyve.com/lp/springer-journals/prevalence-rates-for-depression-by-industry-a-claims-database-analysis-wRdkxwhEz0
SP - 1805
EP - 1821
VL - 49
IS - 11
DP - DeepDyve
ER -