scholarly journals Standard Occupational Classification 2010 - Implementation in the Office for National Statistics

2011 ◽  
Vol 5 (3) ◽  
pp. 62-65 ◽  
Author(s):  
Joanne Monger
Keyword(s):  
Occupational Classification ◽  
National Statistics ◽  
Standard Occupational Classification

scholarly journals Coalition of National Health Education Organizations

2004 ◽  
Vol 2 (1) ◽  
pp. 12-15
Author(s):  
Ellen M. Capwell
Keyword(s):  
Health Education ◽  
National Health ◽  
Code Of Ethics ◽  
Occupational Classification ◽  
The Status ◽  
Professional Health ◽  
Education Profession ◽  
Standard Occupational Classification ◽  
Century Health

The Coalition of National Health Education Organizations (CNHEO), established in 1972, currently has a membership of ten professional health education organizations. It exists to advance the profession of health education and to foster communication, collaboration and action on issues important to health and health education. Recent accomplishments include two invitational conferences to assess the status of health education and set goals and recommendations for the 21st century, Health Education Advocacy Summit, Health Education Advocate web site, Code of Ethics for the Health Education Profession, Standard Occupational Classification of “health educator” by the federal government, and collaboration to promote National Health Education Week. Information can be found at the CNHEO website, http://www.hsc.usf.edu/CFH/cnheo/.

scholarly journals O4E.2 Efficiency of autocoding programs for converting job descriptors into standard occupational classification codes

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A39.2-A39
Author(s):  
Ann Dale ◽  
Skye Buckner-Petty ◽  
Bradley Evanoff
Keyword(s):  
Health Outcomes ◽  
Computer Assisted ◽  
Coding System ◽  
Occupational Classification ◽  
Work Exposure ◽  
Work Related ◽  
Job Information ◽  
Exposure Data ◽  
Public Datasets ◽  
Standard Occupational Classification

IntroductionStandard Occupational Classification (SOC) codes can link work exposure data to individual health outcomes, but manually assigning job codes is laborious. We tested two recently developed automatic coding programs.MethodsWe entered self-reported job titles and industry from two existing cohorts into two publicly available autocoding programs, the NIOSH Industry and Occupation Computerized Coding System (NIOCCS) and the Standardized Occupation Coding for Computer-assisted Epidemiological Research (SOCcer), and assessed agreement between autocodes and manual coding. We also assessed agreement of several exposure values (from the Occupational Information Network, O*NET) linked by manual SOC codes versus those linked by autocodes, in order to examine how differences in coding might affect exposure assignments in general population cohort studies.ResultsNIOCCS produced SOC codes for the majority of subjects (Cohort 1: 85%; Cohort 2: 79%). The level of detail for these codes varied slightly; 6-digit SOC codes (detailed occupations) were available for 84% and 76% of cohorts A and B respectively. Comparison to manual codes showed strong agreement at the major group level (kappa=0.8 for both cohorts) and weaker agreement at the 6-digit level (kappa ≥0.4 and 0.6). SOCcer produced 6-digit SOC codes for all subjects with good agreement at the 2-digit level (kappa ≥0.6 and 0.7) and slightly lower at the 6-digit level (kappa ≥0.3 and 0.4). Agreement for O*NET exposures was very high for most comparisons within both cohorts for both programs (many ICCs>0.8).ConclusionBoth autocoding programs can be reliable tools to aid in assigning SOC codes that represent broad industry levels, with less agreement at finer levels of job codes. Given the availability of large public datasets with job information but no other work exposure data, autocoding of jobs provides exciting opportunities for analyzing work-related health outcomes in future studies.

Standard Occupational Classification Codes

2017 ◽  
Vol 35 (5) ◽  
pp. 226-227
Author(s):  
Erin D. Maughan ◽  
Judith Effken ◽  
Kelly Cochran
Keyword(s):  
Occupational Classification ◽  
Standard Occupational Classification

Competitive Employment Outcomes of Vocational Rehabilitation

2012 ◽  
Vol 43 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Frank H. Martin ◽  
Richard T. Walls ◽  
Martin G. Brodwin ◽  
Randall M. Parker ◽  
Frances W. Siu ◽  
...  
Keyword(s):  
Vocational Rehabilitation ◽  
Rehabilitation Counselors ◽  
Fiscal Year ◽  
Competitive Employment ◽  
Occupational Classification ◽  
Occupational Outcomes ◽  
Job Titles ◽  
Disability Categories ◽  
Career Options ◽  
Standard Occupational Classification

This study examined occupational outcomes for successfully closed state-federal vocational rehabilitation (VR) consumers in the 2008 fiscal year using the Standard Occupational Classification (SOC) system. The study replicated previous research by Walls and Fullmer (1997) that investigated the top 50 job titles and the top five occupations by disability categories after vocational rehabilitation. Median hourly wages for VR participants are reported and compared with those of the general labor force (GLF). Findings and implications are discussed, and suggestions are offered to rehabilitation counselors about how to expand consumers' job and career options.

scholarly journals Variation in Men’s Dietary Intake Between Occupations, Based on Data From the Japan Environment and Children’s Study

2018 ◽  
Vol 12 (5) ◽  
pp. 1621-1634 ◽  
Author(s):  
Rie Tanaka ◽  
Mayumi Tsuji ◽  
Keiko Asakura ◽  
Ayako Senju ◽  
Eiji Shibata ◽  
...  
Keyword(s):  
Health Promotion ◽  
Dietary Intake ◽  
Dietary Habits ◽  
Workplace Health Promotion ◽  
Analysis Of Covariance ◽  
Agricultural Workers ◽  
Dietary Recommendations ◽  
Occupational Groups ◽  
Occupational Classification ◽  
Standard Occupational Classification

There has been increasing interest in dietary health promotion in the workplace. Although many previous studies have focused on dietary habits in specific occupations, variation between occupational groups requires clarification. The present study aimed to examine differences in food and nutrient intake between occupational groups, using detailed classification. A cross-sectional study was conducted using data from the Japan Environment and Children’s Study. The study included 38,721 employed Japanese expectant fathers aged between 20 and 65 years. Dietary intake was assessed using a food frequency questionnaire. Occupations were categorized into 11 categories according to the Japan Standard Occupational Classification. Analysis of variance and analysis of covariance were performed to compare dietary intake of occupational groups. Logistic regression analysis was performed to examine the differences in adherence to dietary recommendations across occupations. Dietary intake differed significantly between occupations. Specific dietary intake was observed in security and agricultural workers, who tended to exhibit higher consumption levels for numerous foods and nutrients. In addition, relative to other workers, security workers showed higher intake of dairy products and calcium, and agricultural workers consumed larger amounts of pickles and salt. The study categorized occupations into detailed categories using the Japan Standard Occupational Classification, which facilitated the clarification of overall dietary trends across occupations and identification of specific dietary characteristics in individual occupations. The findings could aid in workplace health promotion.

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