Literature DB >> 24907896

Prevalence rates for depression by industry: a claims database analysis.

Lawson Wulsin1, Toni Alterman, P Timothy Bushnell, Jia Li, Rui Shen.   

Abstract

PURPOSE: To estimate and interpret differences in depression prevalence rates among industries, using a large, group medical claims database.
METHODS: Depression cases were identified by ICD-9 diagnosis code in a population of 214,413 individuals employed during 2002-2005 by employers based in western Pennsylvania. Data were provided by Highmark, Inc. (Pittsburgh and Camp Hill, PA). Rates were adjusted for age, gender, and employee share of health care costs. National industry measures of psychological distress, work stress, and physical activity at work were also compiled from other data sources.
RESULTS: Rates for clinical depression in 55 industries ranged from 6.9 to 16.2 %, (population rate = 10.45 %). Industries with the highest rates tended to be those which, on the national level, require frequent or difficult interactions with the public or clients, and have high levels of stress and low levels of physical activity.
CONCLUSIONS: Additional research is needed to help identify industries with relatively high rates of depression in other regions and on the national level, and to determine whether these differences are due in part to specific work stress exposures and physical inactivity at work. CLINICAL SIGNIFICANCE: Claims database analyses may provide a cost-effective way to identify priorities for depression treatment and prevention in the workplace.

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Mesh:

Year:  2014        PMID: 24907896      PMCID: PMC4557731          DOI: 10.1007/s00127-014-0891-3

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  42 in total

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Authors:  P Timothy Bushnell; Jia Li; Deborah Landen
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Review 2.  Systematic review of intervention practices for depression in the workplace.

Authors:  Andrea D Furlan; William H Gnam; Nancy Carnide; Emma Irvin; Benjamin C Amick; Kelly DeRango; Robert McMaster; Kimberley Cullen; Tesha Slack; Sandra Brouwer; Ute Bültmann
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Review 3.  Use of O*NET as a job exposure matrix: A literature review.

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4.  Trends in work-related musculoskeletal disorders: a comparison of risk factors for symptoms using quality of work life data from the 2002 and 2006 general social survey.

Authors:  Thomas R Waters; Robert B Dick; Edward F Krieg
Journal:  J Occup Environ Med       Date:  2011-09       Impact factor: 2.162

5.  Association of self-rated physical health and incident hypertension with O*NET factors: validation using a representative national survey.

Authors:  John D Meyer; Manuel Cifuentes; Nicholas Warren
Journal:  J Occup Environ Med       Date:  2011-02       Impact factor: 2.162

6.  Occupational injury in America: An analysis of risk factors using data from the General Social Survey (GSS).

Authors:  Todd D Smith; David M DeJoy
Journal:  J Safety Res       Date:  2012-01-23

7.  Three job-related stress models and depression: a population-based study.

Authors:  Jianli Wang; Elizabeth Smailes; Jitender Sareen; Norbert Schmitz; Gordon Fick; Scott Patten
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2011-01-15       Impact factor: 4.328

8.  Analysis of covariance and standardization as instances of prediction.

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Journal:  Biometrics       Date:  1982-09       Impact factor: 2.571

Review 9.  Job strain, effort-reward imbalance and employee well-being: a large-scale cross-sectional study.

Authors:  J de Jonge; H Bosma; R Peter; J Siegrist
Journal:  Soc Sci Med       Date:  2000-05       Impact factor: 4.634

10.  Psychosocial work environment and depressive symptoms among US workers: comparing working poor and working non-poor.

Authors:  Leigh Ann Simmons; Jennifer E Swanberg
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2008-12-12       Impact factor: 4.328

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  14 in total

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Journal:  J Grad Med Educ       Date:  2016-12

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Journal:  Public Health Rep       Date:  2019-10-10       Impact factor: 2.792

3.  The Health Status of Hispanic Agricultural Workers in Georgia and Florida.

Authors:  Roxana C Chicas; Lisa Elon; Madelyn C Houser; Abby Mutic; Estefani Ignacio Gallegos; Daniel J Smith; Lori Modly; Nezahualcoyotl Xiuhtecutli; Vicki S Hertzberg; Joan Flocks; Jeff M Sands; Linda McCauley
Journal:  J Immigr Minor Health       Date:  2022-01-06

4.  Return-to-Work Following Depression: What Work Accommodations Do Employers and Human Resources Directors Put in Place?

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Journal:  J Occup Rehabil       Date:  2019-06

5.  Pokémon GO and psychological distress, physical complaints, and work performance among adult workers: a retrospective cohort study.

Authors:  Kazuhiro Watanabe; Norito Kawakami; Kotaro Imamura; Akiomi Inoue; Akihito Shimazu; Toru Yoshikawa; Hisanori Hiro; Yumi Asai; Yuko Odagiri; Etsuko Yoshikawa; Akizumi Tsutsumi
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

6.  Associations of Tipped and Untipped Service Work With Poor Mental Health in a Nationally Representative Cohort of Adolescents Followed Into Adulthood.

Authors:  Sarah B Andrea; Lynne C Messer; Miguel Marino; Janne Boone-Heinonen
Journal:  Am J Epidemiol       Date:  2018-10-01       Impact factor: 4.897

7.  Parallel contagion phenomenon of concordant mental disorders among married couples: a nationwide cohort study.

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Journal:  J Epidemiol Community Health       Date:  2017-02-20       Impact factor: 3.710

8.  Long work hours, weekend working and depressive symptoms in men and women: findings from a UK population-based study.

Authors:  Gillian Weston; Afshin Zilanawala; Elizabeth Webb; Livia A Carvalho; Anne McMunn
Journal:  J Epidemiol Community Health       Date:  2019-02-25       Impact factor: 3.710

9.  Association of workplace social capital with psychological distress: results from a longitudinal multilevel analysis of the J-HOPE Study.

Authors:  Hisashi Eguchi; Akizumi Tsutsumi; Akiomi Inoue; Hiroyuki Hikichi; Ichiro Kawachi
Journal:  BMJ Open       Date:  2018-12-22       Impact factor: 2.692

10.  Depression and sexual risk behavior among long-distance truck drivers at roadside wellness clinics in Kenya.

Authors:  Matthew L Romo; Gavin George; Joanne E Mantell; Eva Mwai; Eston Nyaga; Michael Strauss; Jacob O Odhiambo; Kaymarlin Govender; Elizabeth A Kelvin
Journal:  PeerJ       Date:  2019-07-18       Impact factor: 2.984

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