Sydney, May 15: If your workplace is supporting its employees by reducing their job strain, it may boost in preventing new cases of common mental illness from occurring up to 14 per cent, a new study suggests.
The findings, published in the journal Lancet Psychiatry, confirm that high job strain is associated with an increased risk of developing common mental disorders such as depression and anxiety amongst middle-aged workers.
Job strain is a term used to describe the combination of high work pace, intensity, and conflicting demands, coupled with low control or decision-making capacity.
"The results indicate that if we were able to eliminate job strain situations in the workplace, up to 14 per cent of cases of common mental illness could be avoided," said lead author Samuel Harvey, Associate Professor at the Black Dog Institute in Australia.
"These findings serve as a wake-up call for the role workplace initiatives should play in our efforts to curb the rising costs of mental disorders," Harvey added.
To determine levels of job strain, 6,870 participants completed questionnaires at age 45 testing for factors including decision authority, skill discretion and questions about job pace, intensity and conflicting demands.
The researchers also accounted for non-workplace factors including divorce, financial problems, housing instability, and other stressful life events like death or illness.
The models developed in this study controlled for individual workers' temperament and personality, their IQ, level of education, prior mental health problems and a range of other factors from across their early lives.
The final modelling suggested that those experiencing higher job demands, lower job control and higher job strain were at greater odds of developing mental illness by age 50, regardless of sex or occupational class.
"Workplaces can adopt a range of measures to reduce job strain, and finding ways to increase workers' perceived control of their work is often a good practical first step. This can be achieved through initiatives that involve workers in as many decisions as possible," Harvey, who is also affiliated with the University of New South Wales in Australia, noted.
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New Delhi (PTI): Railway Minister Ashwini Vaishnaw on Friday announced the upcoming launch of the automatic train protection system Kavach 5.0 for Mumbai's suburban trains.
The railway ministry said the state-of-the-art safety and signalling system has been tailored for the suburban section in Mumbai.
"Kavach 5.0 is expected to significantly reduce the inter-train headway, enabling more trains to run safely and efficiently," it said.
Vaishnaw, along with Maharashtra Chief Minister Devendra Fadnavis, interacted with reporters to highlight the transformative progress in railway infrastructure across the state.
According to the railway ministry, Vaishnaw emphasised that infrastructure development is the cornerstone for increasing suburban services and projects worth nearly Rs 17,000 crore, covering more than 300 kilometres of new lines, are currently underway at a rapid pace.
"These initiatives aim to decongest existing lines, improve service frequency and cater to the ever-growing demand of Mumbai's suburban commuters," the ministry said.
Announcing a major upgrade in passenger comfort, Vaishnaw said 238 new air-conditioned suburban rakes, uniquely designed keeping in mind the needs of Mumbai's commuters, would soon be introduced.
"A major announcement during the interaction was the doubling of the Gondia-Ballarshah railway line, a 240-km strategic corridor, with an investment of Rs 4,819 crore," the ministry said.
"This key project connects Vidarbha and Marathwada, easing congestion and enabling faster passenger and freight movement. It will also strengthen Maharashtra's rail links with Andhra Pradesh and Chhattisgarh, boosting regional trade and integration," it added.
This infrastructure push was announced on April 7, when the Cabinet Committee on Economic Affairs, chaired by Prime Minister Narendra Modi, approved four projects of the railway ministry with a total cost of Rs 18,658 crore.