Evidence map›Paper›PMID 34561277›Full record

ArticleOccupational and environmental medicine2022

Technology-induced job loss risk, disability and all-cause mortality in Norway.

Bernt Bratsberg, Ole Rogeberg, Vegard Skirbekk

Abstract read
In one paragraph

Article in Occupational and environmental medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Bernt BratsbergFrisch Centre for Economic Research, Oslo, Norway.ORCID 0000-0002-6874-3412
Ole RogebergFrisch Centre for Economic Research, Oslo, Norway.
Vegard SkirbekkCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway vegardskirbekk@gmail.com.ORCID 0000-0002-1647-3246

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOngoing shifts in economic structure from automation and globalisation can affect employment and mortality, yet these relations are not well described.

objectiveWe assess whether long-term employment and health outcomes relate systematically to structural change in the labour market, using the occupational Routine Task Intensity (RTI) score as indicator of exposure is to risks of outsourcing and technology-induced job loss.

methodsUsing a cohort design and administrative data with national population coverage, we categorise all Norwegian employees in 2003 by the RTI score of their occupation and examine how this score correlates with employment and health outcomes measured in 2018 and 2019. The study sample counts 416 003 men and 376 413 women aged 33-52 in 2003.

resultsThe occupational RTI score at baseline is robustly associated with long-term employment, disability and mortality outcomes. Raw correlations are reduced after adjustment for potential confounders, but associations remain substantial in models controlling for individual covariates and in sibling comparisons. Working in an occupation with RTI score 1 SD above the mean in 2003 is associated with a raised probability of being deceased in 2019 of 0.24 percentage points (95% CI: 0.18 to 0.30) for men and 0.13 percentage points (95% CI: 0.02 to 0.24) for women, corresponding to raised mortality rates of 6.7% and 5.5%.

conclusionsIndividuals in occupations characterised by high routine intensity are less likely to remain employed in the long term, and have higher rates of disability and mortality.

Indexed as

AutomationAdultEmploymentFemaleHumansMaleMiddle AgedMortalityNorwayOccupationsPensionsRisk FactorsUnemploymentdisabilitylongitudinal studiesmortality

Identifiers

PMID34561277
PMCPMC8685638

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.