Literature DB >> 3389426

A procedure for linking psychosocial job characteristics data to health surveys.

J E Schwartz1, C F Pieper, R A Karasek.   

Abstract

A system is presented for linking information about psychosocial characteristics of job situations to national health surveys. Job information can be imputed to individuals on surveys that contain three-digit US Census occupation codes. Occupational mean scores on psychosocial job characteristics-control over task situation (decision latitude), psychological work load, physical exertion, and other measures-for the linkage system are derived from US national surveys of working conditions (Quality of Employment Surveys 1969, 1972, and 1977). This paper discusses a new method for reducing the biases in multivariate analyses that are likely to arise when utilizing linkage systems based on mean scores. Such biases are reduced by modifying the linkage system to adjust imputed individual scores for demographic factors such as age, education, race, marital status and, implicitly, sex (since men and women have separate linkage data bases). Statistics on the linkage system's efficiency and reliability are reported. All dimensions have high inter-survey reproducibility. Despite their psychosocial nature, decision latitude and physical exertion can be more efficiently imputed with the linkage system than earnings (a non-psychosocial job characteristic). The linkage system presented here is a useful tool for initial epidemiological studies of the consequences of psychosocial job characteristics and constitutes the methodological basis for the subsequent paper.

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Year:  1988        PMID: 3389426      PMCID: PMC1349849          DOI: 10.2105/ajph.78.8.904

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  14 in total

1.  Socioecologic stress and hypertension related mortality rates in North Carolina.

Authors:  S A James; D G Kleinbaum
Journal:  Am J Public Health       Date:  1976-04       Impact factor: 9.308

2.  Economic predictors of depressed mood and stressful life events in a metropolitan community.

Authors:  R Catalano; C D Dooley
Journal:  J Health Soc Behav       Date:  1977-09

3.  Socio-ecological stress, suppressed hostility, skin color, and Black-White male blood pressure: Detroit.

Authors:  E Harburg; J C Erfurt; L S Hauenstein; C Chape; W J Schull; M A Schork
Journal:  Psychosom Med       Date:  1973 Jul-Aug       Impact factor: 4.312

4.  Blood pressure changes in men undergoing job loss: a preliminary report.

Authors:  S V Kasl; S Cobb
Journal:  Psychosom Med       Date:  1970 Jan-Feb       Impact factor: 4.312

5.  An ambulatory service data system.

Authors:  M H Brenner; E R Weinerman
Journal:  Am J Public Health Nations Health       Date:  1969-07

6.  Prosperity as a cause of death.

Authors:  J Eyer
Journal:  Int J Health Serv       Date:  1977       Impact factor: 1.663

7.  Predicting job stress using data from the Position Analysis Questionnaire.

Authors:  J B Shaw; J H Riskind
Journal:  J Appl Psychol       Date:  1983-05

8.  Uses of ecologic analysis in epidemiologic research.

Authors:  H Morgenstern
Journal:  Am J Public Health       Date:  1982-12       Impact factor: 9.308

9.  Job decision latitude, job demands, and cardiovascular disease: a prospective study of Swedish men.

Authors:  R Karasek; D Baker; F Marxer; A Ahlbom; T Theorell
Journal:  Am J Public Health       Date:  1981-07       Impact factor: 9.308

10.  An occupation and exposure linkage system for the study of occupational carcinogenesis.

Authors:  S K Hoar; A S Morrison; P Cole; D T Silverman
Journal:  J Occup Med       Date:  1980-11
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  44 in total

1.  Executive women and health: perceptions and practices.

Authors:  J H LaRosa
Journal:  Am J Public Health       Date:  1990-12       Impact factor: 9.308

2.  Correlates of fruit and vegetable consumption among construction laborers and motor freight workers.

Authors:  Eve M Nagler; K Viswanath; Cara B Ebbeling; Anne M Stoddard; Glorian Sorensen
Journal:  Cancer Causes Control       Date:  2012-06-23       Impact factor: 2.506

3.  Tobacco use cessation and weight management among motor freight workers: results of the gear up for health study.

Authors:  Glorian Sorensen; Anne Stoddard; Lisa Quintiliani; Cara Ebbeling; Eve Nagler; May Yang; Lesley Pereira; Lorraine Wallace
Journal:  Cancer Causes Control       Date:  2010-08-20       Impact factor: 2.506

4.  Sources and magnitude of job stress among physicians.

Authors:  L A Simpson; L Grant
Journal:  J Behav Med       Date:  1991-02

5.  Stress and coping among children of alcoholic parents through the young adult transition.

Authors:  Andrea M Hussong; Laurie Chassin
Journal:  Dev Psychopathol       Date:  2004

6.  Job strain and prevalence of hypertension in a biracial population of urban bus drivers.

Authors:  C L Albright; M A Winkleby; D R Ragland; J Fisher; S L Syme
Journal:  Am J Public Health       Date:  1992-07       Impact factor: 9.308

7.  Inter-method agreement between O*NET and survey measures of psychosocial exposure among healthcare industry employees.

Authors:  Manuel Cifuentes; Jon Boyer; Rebecca Gore; Angelo d'Errico; Jamie Tessler; Patrick Scollin; Debra Lerner; David Kriebel; Laura Punnett; Craig Slatin
Journal:  Am J Ind Med       Date:  2007-07       Impact factor: 2.214

8.  Do stressors explain the association between income and declines in self-rated health? A longitudinal analysis of the National Population Health Survey.

Authors:  Heather M Orpana; Louise Lemyre; Shona Kelly
Journal:  Int J Behav Med       Date:  2007

Review 9.  Job strain and ambulatory blood pressure: a meta-analysis and systematic review.

Authors:  Paul A Landsbergis; Marnie Dobson; George Koutsouras; Peter Schnall
Journal:  Am J Public Health       Date:  2013-01-17       Impact factor: 9.308

10.  Racial and ethnic disparities in low birth weight delivery associated with maternal occupational characteristics.

Authors:  John D Meyer; Nicholas Warren; Susan Reisine
Journal:  Am J Ind Med       Date:  2010-02       Impact factor: 2.214

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