223. Safety Messages for Young Workers May Fall on Deaf Ears

This chapter discusses how the growth of precarious work and the polarization of the US labor market have produced major problems for the employment experiences of young workers. A prominent indicator of young workers’ difficulties in the labor market has been the sharp increase in their unemployment rates since the Great Recession. Another, equally if not more severe, problem faced by young workers today is the relatively low quality of the jobs that they were able to get. Other problems include the exclusion of young workers from the labor market and from education and training opportunities; the inability to find jobs that utilize their education, training, and skills; and the inability to obtain jobs that provide them with an opportunity to get a foothold in a career that would lead to progressively better jobs and thus be able to construct career narratives.

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Have decreases in young workers’ risky drinking resulted in an increase in illicit drug use?

Health Promotion Journal of Australia ◽

10.1002/hpja.454 ◽

2020 ◽

Author(s):

Ann Roche ◽

Victoria Kostadinov ◽

Janine Chapman ◽

Alice McEntee

Keyword(s):

Drug Use ◽

Illicit Drug ◽

Illicit Drug Use ◽

Young Workers ◽

Risky Drinking

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Quality of Life and Associated Factors in Young Workers

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18042153 ◽

2021 ◽

Vol 18 (4) ◽

pp. 2153

Author(s):

José Andrade Louzado ◽

Matheus Lopes Cortes ◽

Márcio Galvão Oliveira ◽

Vanessa Moraes Bezerra ◽

Sóstenes Mistro ◽

...

Keyword(s):

Quality Of Life ◽

Odds Ratio ◽

Cross Sectional Study ◽

Young Workers ◽

Cross Sectional ◽

Physically Active ◽

Significance Level ◽

Self Rated Health ◽

Assess Quality

Background: This study aimed to identify the factors associated with the quality of life of young workers of a Social Work of Industry Unit. Methods: This was a cross-sectional study conducted on 1270 workers. Data were collected using a digital questionnaire built on the KoBoToolbox platform that included the EUROHIS-QOL eight-item index to assess quality of life. Demographic, socioeconomic, behavioral, and clinical variables were considered explanatory. The associations were analyzed using the ordinal logistic regression model at a 5% significance level. Results: Men and women had a mean quality of life of 31.1 and 29.4, respectively. Workers that rated their health as “very good” had an odds ratio of 7.4 (95% confidence interval (CI) = 5.17–10.81), and those who rated it as “good” had an odds ratio of 2.9 (95% CI = 2.31–3.77). Both these groups of workers were more likely to have higher levels of quality of life as compared to workers with “regular”, “poor”, or “very poor” self-rated health. Physically active individuals were 30% more likely to have higher levels of quality of life (odds ratio = 1.3; 95% CI = 1.08–1.65). After adjusting the model by gender, age group, marital status, socioeconomic class, self-rated health, nutritional status, and risky alcohol consumption, the odds ratio of active individuals remained stable (odds ratio = 1.3; 95% CI = 1.05–1.66). Conclusions: In the present study, self-rated health, physical activity, and gender were associated with young workers’ quality of life.

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