Occupational Classification

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/.

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A Coding of Social Class for the General Social Survey

10.31235/osf.io/324wv ◽

2019 ◽

Author(s):

Stephen L. Morgan

Keyword(s):

Social Class ◽

General Social Survey ◽

Community Survey ◽

Social Classes ◽

Data Sources ◽

American Community Survey ◽

Social Survey ◽

Occupational Classification ◽

Us Census

This report provides a coding of EGP social classes that can be implemented for data sources, such as the General Social Survey, that utilize the 2010 US Census occupational classification. The report explains the rationale for the coding as well as the specific coding decisions. It demonstrates how to implement the coding for the General Social Survey, and it presents a comparison of EGP social classes in both the GSS and the American Community Survey.

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Occupation and risk of severe COVID-19: prospective cohort study of 120,075 UK Biobank participants

10.1101/2020.05.22.20109892 ◽

2020 ◽

Cited By ~ 4

Author(s):

Miriam Mutambudzi ◽

Claire L Niedzwiedz ◽

Ewan B Macdonald ◽

Alastair H Leyland ◽

Frances S Mair ◽

...

Keyword(s):

Test Results ◽

Uk Biobank ◽

Occupational Classification ◽

Organizational Policies ◽

Work Related ◽

Related Risk ◽

Group Methods ◽

Transport Workers ◽

Risk Ratios ◽

Baseline Demographic

Objectives: To investigate severe COVID-19 risk by occupational group. Methods: Baseline UK Biobank data (2006-10) for England were linked to SARS-CoV-2 test results from Public Health England (16 March to 26 July 2020). Included participants were employed or self-employed at baseline, alive and aged less than 65 years in 2020. Poisson regression models adjusted sequentially for baseline demographic, socioeconomic, work-related, health, and lifestyle-related risk factors to assess risk ratios (RRs) for testing positive in hospital or death due to COVID-19 by three occupational classification schemes (including Standard Occupation Classification 2000). Results: Of 120,075 participants, 271 had severe COVID-19. Relative to non-essential workers, healthcare workers (RR 7.43, 95% CI:5.52,10.00), social and education workers (RR 1.84, 95% CI:1.21,2.82) and other essential workers (RR=1.60, 95% CI:1.05,2.45) had higher risk of severe COVID-19. Using more detailed groupings, medical support staff (RR 8.70, 95% CI:4.87,15.55), social care (RR 2.46, 95% CI:1.47,4.14) and transport workers (RR= 2.20, 95% CI:1.21,4.00) had highest risk within the broader groups. Compared to white non-essential workers, non-white non-essential workers had a higher risk (RR 3.27, 95% CI: 1.90,5.62) and non-white essential workers had the highest risk (RR 8.34, 95% CI:5.17,13.47). Using SOC2000 major groups, associate professional and technical occupations, personal service occupations and plant and machine operatives had higher risk, compared to managers and senior officials. Conclusions: Essential workers have higher risk of severe COVID-19. These findings underscore the need for national and organizational policies and practices that protect and support workers with elevated risk of severe COVID-19.

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Notes on Occupational Classification

Relations industrielles ◽

10.7202/027730ar ◽

2005 ◽

Vol 21 (4) ◽

pp. 529-551

Author(s):

Glen Alexandrin

Keyword(s):

Labor Force ◽

Policy Tools ◽

Occupational Classification

In the first part of this article, the author shall attempt to sketch briefly the development of the « reality » of the labor force and of its « interpretative », descriptive concept — the occupational classification. In the second part, the analytical and policy tools of economies will be introduced.

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Taxonomic Approaches to Enlisted Occupational Classification. Volume II,

10.21236/ada122028 ◽

1979 ◽

Author(s):

Diane M. Ramsey-Klee

Keyword(s):

Occupational Classification

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The role of age structure and occupational choices in the Indian labour market

International Journal of Social Economics ◽

10.1108/ijse-01-2021-0067 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Dhananjay Kumar ◽

Nitin Bisht ◽

Indrajeet Kumar

Keyword(s):

Labour Market ◽

Age Structure ◽

Multinomial Logistic Regression ◽

Age Groups ◽

Economic Factors ◽

Occupational Choices ◽

Occupational Classification ◽

Content Type

PurposeThis study aims to identify the role of age structure in occupational choices and the classification of the occupations based on the age structure of individuals in the Indian labour market.Design/methodology/approachThis study uses the first Periodic Labour Force Survey, 2017–18. The occupational classifications are based on the standardised scores for age groups and their occupations. Further, a multinomial logistic regression model has been used to estimate social and economic factors in determining the age-based occupational classifications.FindingsThe authors found age structure an essential factor in determining occupational choices. Hence, occupations in the Indian labour market have been grouped into seven categories, accordingly. In addition, social and economic factors of individuals and households do have a significant influence on the selection of age-based occupational classifications.Research limitations/implicationsThe study is limited to the occupational classification based on the age structure of individuals without any industry effects. The findings suggest that policymakers must adopt occupation-specific policies considering the age structure of individuals.Originality/valueEarlier studies are limited to the dynamics of age either on the basis of specific age groups (younger or older) or on the industrial classification in a disaggregated way. They also lack a rich approach in analysing the occupational classification considering age structure, especially in the Indian labour market. The study adds value when the role of age structure is identified in occupational choices in the Indian labour market, and hence, a novel classification of occupations into seven categories is proposed.

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The Relationship Between Education and Absence Rates for Both Sexes in Canada

International Journal of Organizational and Collective Intelligence ◽

10.4018/ijoci.2018070103 ◽

2018 ◽

Vol 8 (3) ◽

pp. 31-40

Author(s):

Kunxin Zhang

Keyword(s):

Higher Education ◽

Education Reform ◽

Opportunity Cost ◽

Full Time ◽

Technological Advancement ◽

Family Responsibility ◽

Occupational Classification ◽

Modern Education ◽

Males And Females ◽

The Relationship

Does education have an influence on absence rates of full-time employees? The absence rates include the illness or disability, personal or family responsibility. The purpose of this report is to give an overview of the change in absence rates of full-time employees for both males and females in Canada from 1993 to 2013, and then research why higher education is correlated with less absence rates. To research why higher education is correlated with less absence rates, the authors used the data from CANSIM, the change by average earnings of individuals for both males and females by National Occupational Classification for Statistics. This article also considers the type of job difference, the opportunity cost and the nature of job to research the relationship between the education and absence rates. Improvement of modern education and QoL through the education reform and technological advancement will be helpful to overcome current challenges.

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