Occupational medicine (Oxford, England) · 2018
Youth labour force absence and chronic health conditions in Australia.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Callander E J
Аннотация
BACKGROUND: Among older workers, chronic disease is known to be a key reason for early retirement.
AIMS: To determine whether chronic health conditions act as a barrier to young Australians (aged 15-29) participating in the labour force.
METHODS: Multiple logistic regression analysis to assess the adjusted odds ratio of people with different chronic health conditions being out of the labour force compared to those with no chronic conditions. Negative binomial regression models to predict the number of years people with different chronic health conditions would remain out of the labour force for.
RESULTS: Of the 550000 people aged 15-29 who were not in the labour force, 20% cited ill-health as the reason, reducing Australia's gross domestic product by around $3.7 billion per annum. When adjusted for age and education attainment, males with mental and behavioural disorders had 5.95 times the odds (95% confidence interval [CI] 3.90-9.08) of being out of the labour force, and females with development/intellectual disorders had 2.90 times the odds (95% CI 1.47-2.51), compared to those with no chronic health conditions. Males and females with development/intellectual disorders who were out of the labour force were estimated to spend an additional 2.7 and 3.5 years out of the labour force over the next 5 years.
CONCLUSIONS: Prevention of chronic health conditions may help more younger Australians participate in the labour force, reducing the known long-term health and social problems associated with labour force absence.
AIMS: To determine whether chronic health conditions act as a barrier to young Australians (aged 15-29) participating in the labour force.
METHODS: Multiple logistic regression analysis to assess the adjusted odds ratio of people with different chronic health conditions being out of the labour force compared to those with no chronic conditions. Negative binomial regression models to predict the number of years people with different chronic health conditions would remain out of the labour force for.
RESULTS: Of the 550000 people aged 15-29 who were not in the labour force, 20% cited ill-health as the reason, reducing Australia's gross domestic product by around $3.7 billion per annum. When adjusted for age and education attainment, males with mental and behavioural disorders had 5.95 times the odds (95% confidence interval [CI] 3.90-9.08) of being out of the labour force, and females with development/intellectual disorders had 2.90 times the odds (95% CI 1.47-2.51), compared to those with no chronic health conditions. Males and females with development/intellectual disorders who were out of the labour force were estimated to spend an additional 2.7 and 3.5 years out of the labour force over the next 5 years.
CONCLUSIONS: Prevention of chronic health conditions may help more younger Australians participate in the labour force, reducing the known long-term health and social problems associated with labour force absence.