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At least 19 recordsLinked to original sources
PubMed2001

An occupation-industry matrix analysis of mesothelioma cases in Australia 1980-1985.

Australia has one of the highest national incidences of mesothelioma in the world and the rate is still rising. An industry-occupation matrix analysis was conducted for the 858 mesothelioma cases that were reported to the Australian Mesothelioma Surveillance Program between 1980 and 1985. Definite, probable, or possible occupational exposure had occurred in 57 percent (492/858) of the subjects. The primary asbestos production or manufacturing industry constituted the largest number of cases (137/492, 27.8%), followed by shipbuilding, repair and demolition (114/492, 23.2%), the building industry (69/492, 14.1%), and the railway locomotive construction and maintenance industry (47/492, 9.6%). Laborers constituted 14.8 percent (n = 73) of the occupations with a history of exposure to asbestos, followed by carpenters (13.0%, n = 64), boilermakers (10.6%, n = 52), and fitters/turners (8.1%, n = 40). The distribution of occupations in specific industries is presented in this article.

Adult↗
PubMed1999

Industry, occupation, and disability insurance beneficiary work return.

This article uses the New Beneficiary Data System to describe the first job held after award of Disability Insurance benefits, in terms of occupation and industry. It examines work activity within sectors of employment, and looks at the issues of whether work return in certain industries and occupations varies according to the demographic characteristics of the beneficiaries. The article also presents data on sector-specific employer accommodations that can aid in sustained work return. Postentitlement work was fairly evenly distributed across occupational and industrial sectors. Persons with higher levels of educational attainment were found to be in white-collar employment sectors. There were noticeable differences in the availability of employer accommodations across postentitlement occupations and industries.

Adolescent↗
PubMed1981

[Women in the chemical industry. Occupational medicine problems].

Report on women working in the chemical industry. Attention is drawn to the occupational medicine problems: sex-specific physical differences, occupational protection for women, rate of sickness -- absences, accidents, problems regarding health, double amount of stress -- part-time employment, health awareness of the working women, precautional and rehabilitation measures, and measures beneficial to health.

Absenteeism↗
PubMed1995

Assessing the use of computers in industrial occupational health departments.

Computers are widely used in business and industry and the benefits of computerizing occupational health (OH) departments have been advocated by several authors. The requirements for successful computerization of an OH department are reviewed. Having identified the theoretical benefits, the real picture in industry is assessed by surveying 52 firms with over 1000 employees in a large urban area. Only 15 (29%) of the companies reported having any OH service, of which six used computers in the OH department, reflecting the business priorities of most of the companies. The types of software systems used and their main use are examined, along with perceived benefits or disadvantages. With the decreasing costs of computers and increasingly 'user-friendly' software, there is a real cost benefit to be gained from using computers in OH departments, although the concept may have to be 'sold' to management.

Computers↗
PubMedDate not supplied

Smoking patterns by occupation, industry, sex, and race.

Patterns of prevalence, amount, and cessation of smoking are computed for occupations by socioeconomic class, sex, and race, based on a probability sample of 39,011 households collected by the 1970 Health Interview Survey. Smoking is most prevalent in blue-collar occupations, while a high proportion of professionals and managers who smoke, stop smoking. Within industries, substantially higher percentages of individuals smoke in lower prestige paying jobs, while more smokers quit in the higher prestige paying jobs. Smoking is most prevalent among women managers and professionals, and least among those employed in traditional work. One surprising and possibly very important finding is that white smokers smoke about 20% more cigarettes per day than black smokers. Not only would it seem unreasonable to ascribe the larger rate of lung disease among blacks than whites (especially cancer), to smoking when blacks smoke significantly fewer cigarettes than whites, but this same negative relationship points to occupational exposure as the possible major cause for lung cancer.

Adult↗
PubMed1987

Summary measures of occupational history: a comparison of latest occupation and industry with usual occupation and industry.

The utility of using latest occupational information as a summary of work history is assessed by comparing it to usual occupation and industry. We analyzed 5,734 complete occupational histories obtained by telephone interview as part of an ongoing occupational cancer surveillance study. Of these, 73.6 per cent reported the same usual occupation as latest occupation and 76.6 per cent the same usual industry as latest industry. Differences in match rates by race and sex, occupation and industry titles and categories suggest that bias may result in studies using latest occupation or industry as a summary measure of occupational exposures.

Adult↗
PubMed1991

Occupation, industry, and fatal motor vehicle crashes in 20 states, 1986-1987.

BACKGROUND: Motor vehicles are a leading cause of injury on and off the job. METHODS: To describe the occurrence of fatal motor vehicle crashes in the working-age population, a case-control study was conducted among persons 15-64 years old who died in 1986 or 1987 in any of 20 states reporting death certificate occupational data to the National Center for Health Statistics. Cases were occupants of motor vehicles (excluding motorcycles) who died of injuries sustained in a crash (E810-E825, 9th revision International Classification of Diseases), and controls died of any other cause. RESULTS: Transportation-related occupations had more than the expected number of deaths for men (odds ratio = 1.6, 95% confidence interval = 1.4-1.9) and women (odds ratio = 2.1, 95% confidence interval = 1.0-4.5), as did managerial occupations (odds ratio = 1.3 and 1.7, 95% confidence interval = 1.1-1.5 and 1.3-2.2 for men and women, respectively). Men in mining and oil drilling occupations and the wholesale trade industry also had excess crash deaths. Among women, additional excesses were observed among professional specialists and in several groups with few deaths, including agriculture, construction, and the military, whereas homemakers had markedly fewer vehicle crash deaths than expected. CONCLUSIONS: These findings encourage further investigation of this important safety hazard, but also call attention to a need for more detailed studies and improved data.

Accidents, Occupational↗