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Previous research on employment outcomes of autistic adults mainly assessed if they work and under what terms, with mostly anecdotal descriptions of where they work. This study aimed to identify the employment sector distribution of autistic employees compared to the general workforce in the Netherlands and to explore possible background predictors. Participants were 1115 employed autistic adults (476 male; 627 female; 12 other; mean age: 40.75) who completed a cross-sectional survey assessing employment sector, gender, age, age at diagnosis, educational level, degree of autistic traits, and presence of focused interests. Dutch workforce data were retrieved from the Central Bureau of Statistics. Results indicated significant differences in sector distribution across the two populations. Autistic adults were over-represented in the sectors healthcare & welfare, information technology, and public–army–charity, which were the three most-common sectors for this group. In economics & finances, and industry & construction, higher proportions were found in the general workforce. Most autistic employees in the healthcare & welfare sector were females while having a higher educational degree and being male predicted placement in information technology. The broad distribution of autistic employees beyond the information technology sector was notable, supporting the need for an individual approach to employment integration. Studies on employment of autistic individuals mainly assessed if they work and what their working conditions are (e.g. weekly hours, salary) while less is known about where they work. We explore this issue in our study, by examining which employment sectors do autistic adults work in, and comparing them to the general workforce in the Netherlands. We also explored the possibility that gender, age, age at diagnosis, level of education, degree of autistic traits and presence of focused interests could lead to a higher likelihood of working in specific sectors. We assessed data from a survey filled in by 1115 employed autistic adults (476 male; 627 female; 12 other; mean age: 40.75). Dutch workforce information was based on data form the Central Bureau of Statistics. Results showed that a higher proportion of autistic employees worked in healthcare & welfare, information technology, and the public–army–charity sectors. These were the three most-common sectors for this group. A lower proportion of autistic employees worked in economics & finances, and industry & construction, compared to the general workforce. Most autistic employees in the healthcare & welfare sector were females while having a higher educational degree and being male increased the chance of working in information technology. In addition to the common impression that most autistic individuals have interests or abilities that align with employment in information technology and technology sectors, we found that autistic employees worked in various sectors. It is important to address individual characteristics and needs of autistic individuals, while encouraging diverse employment opportunities. [ABSTRACT FROM AUTHOR]

Abstract Background Obesity is a multifactorial condition and a major risk factor associated with several non-communicable diseases, such as cardiovascular disease, and with a higher risk of premature death and disability. Sex-specific factors have key roles and must be taken into consideration in studying occupational factors associated with the risk of obesity. The aim of this study was to investigate gender differences in body mass index (BMI) in a large cohort representative of Italian workers and, correlating this index with several demographic and occupational variables, to verify sex- and work-dependent differences in the risk of obesity. Methods We utilized data from INSuLa, a cross-sectional, nationally representative survey of the Italian worker population conducted in 2013 by the Italian Workers’ Compensation Authority to investigate health and safety at work. Analyses were run on a sample of 8000 Italian workers, aged from 16 to 64 years. Logistic regression models were employed to assess gender differences in the relation between occupational characteristics and BMI. We adjusted for age, education, variables related to health protection at work, and chronic conditions and diseases. Results There were several significant differences in the BMI between males and females, linked to some occupational factors. For instance, female shift workers were 1.32 times (95% CI 1.11–1.57) more likely to be overweight or obese than normal-weight workers, and this association was maintained when controlling for confounders. The likelihood of overweight or obesity among women who worked 1–2 night shifts per week was significantly higher – 1.5-1.6 times – than those on day shifts. Conclusions Gender-specific differences in occupational factors associated with the risk of obesity are useful with a view to characterizing this risk and helping identify workplace-targeted intervention strategies.

Copyright of Itobiad: Journal of the Human & Social Science Researches / İnsan ve Toplum Bilimleri Araştırmaları Dergisi is the property of Itobiad: Journal of the Human & Social Science Researches and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Obesity is a multifactorial condition and a major risk factor associated with several non-communicable diseases, such as cardiovascular disease, and with a higher risk of premature death and disability. Sex-specific factors have key roles and must be taken into consideration in studying occupational factors associated with the risk of obesity. The aim of this study was to investigate gender differences in body mass index (BMI) in a large cohort representative of Italian workers and, correlating this index with several demographic and occupational variables, to verify sex- and work-dependent differences in the risk of obesity.Methods: We utilized data from INSuLa, a cross-sectional, nationally representative survey of the Italian worker population conducted in 2013 by the Italian Workers' Compensation Authority to investigate health and safety at work. Analyses were run on a sample of 8000 Italian workers, aged from 16 to 64 years. Logistic regression models were employed to assess gender differences in the relation between occupational characteristics and BMI. We adjusted for age, education, variables related to health protection at work, and chronic conditions and diseases.Results: There were several significant differences in the BMI between males and females, linked to some occupational factors. For instance, female shift workers were 1.32 times (95% CI 1.11-1.57) more likely to be overweight or obese than normal-weight workers, and this association was maintained when controlling for confounders. The likelihood of overweight or obesity among women who worked 1-2 night shifts per week was significantly higher - 1.5-1.6 times - than those on day shifts.Conclusions: Gender-specific differences in occupational factors associated with the risk of obesity are useful with a view to characterizing this risk and helping identify workplace-targeted intervention strategies. [ABSTRACT FROM AUTHOR]

Background: In Poland conditions related to or aggravated by the pregnancy, childbirth or the puerperium are one of the most common causes of sickness absence. The aim of the study was to analyze the occupational activity pattern during pregnancy and to evaluate the determinants of pregnancy-related temporary work disability confirmed by medical certificate. Materials and Methods: The presented analysis is based on data collected under the Polish Mother and Child Cohort Study. The study population consisted of 954 women who reported occupational activity during pregnancy. All women participating in the study were interviewed 3 times during pregnancy. Detail information on occupational activity during pregnancy and occupational stress, based on the Subjective Work Characteristics Questionnaire, was collected from all women. Results: The pregnant women had been issued medical certificate of temporary work disability because of conditions related to or aggravated by the pregnancy, childbirth or by the puerperium at 16 week of gestation on average and did not continue their activities until the end of pregnancy. The statistically significant determinants of receiving such medical certificate in the first trimester of pregnancy (≤ 12 weeks of pregnancy) comprised poor health condition and complications during pregnancy (OR = 1.4; p = 0.01), lower education (OR = 2.4; p < 0.001), socio-economic status (OR = 9.6; p = 0.03), use of public transport to commute to work (OR = 2.7; p < 0.001), a longer work commute (OR = 1.4; p = 0.008) and a higher level of occupational stress (OR = 3.0; p < 0.01). Waitresses, nurses and saleswomen received medical certificate of temporary work disability in the first trimester of pregnancy more frequently than office workers (OR = 4.2; p = 0.005; OR = 3.3; p = 0.02; OR = 2.3; p < 0.001 respectively). Conclusions: It is crucial to develop the model of cooperation between occupational medicine physicians and gynecologists and a greater involvement of the former in the prophylactic care of occupationally active pregnant women. It is also important to increase the employers' awareness of potential risks and arduousness at work to assure working conditions safe for the pregnancy outcome and health of both women and their babies. Med Pr 2014;65(1):65–72

Copyright of Revista Española de Sociología is the property of Federacion Espanola de Sociologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The majority of workers in the global south, and increasing numbers in the north, work in the informal economy. Most are de facto or de jure excluded from services and regulation of occupational health and safety. Significant recent improvements in classification of status of informal employment have enabled improved labor force data; it has not been matched by progress with data collection on work-related risks, hazards, and health outcomes for informal workers. This special edition describes some of the risks and hazards, but focuses on strategies and interventions—such as taking occupational health and safety services to markets where informal workers operate, legal reforms, and designing appropriate equipment. The diversity of occupations and work places (many in public space) mean that new stakeholders such as local municipalities, informal workers associations and unions, as well as health professionals, need to be considered when striving for a more inclusive occupational health and safety. [ABSTRACT FROM AUTHOR]