Evidence map›Paper›PMID 36040214›Full record

ArticleEuropean journal of public health2022

Lost individual income due to severe health events: life-course perspective in the Northern Finland Birth Cohort 1966.

Ina Rissanen, Iiro Nerg, Leena Ala-Mursula, Marko Korhonen

Open access · goldAbstract read
In one paragraph

Article in European journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact, top 88% of its field
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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

4 authors at 3 institutions in 2 countries.

Ina RissanenDepartment of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-6869-0437
Iiro NergDepartment of Economics, Oulu Business School, University of Oulu, Oulu, Finland.
Leena Ala-MursulaCenter for Life Course Health Research, University of Oulu, Oulu, Finland.
Marko KorhonenDepartment of Economics, Oulu Business School, University of Oulu, Oulu, Finland.ORCID 0000-0002-7632-3020
University of Oulu · FIOulu University Hospital · FIUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere health events may lead to reduced income among survivors. Importantly, individuals' risks for both severe health events and for lower income are shaped by early life course. Our aim was to consider early-life factors in determining lost individual income after stroke, heart attack and cancer between ages 18 and 50.

methodsA population-based Northern Finland Birth Cohort 1966 (N = 12 058) was used. Early-life factors were collected since mid-pregnancy until age 16 years and used to match all persons with stroke, heart attack, or cancer (n = 995) with four controls. Registered annual individual income development 15 years before and after the event was compared between cases and propensity score matched controls using time-to-event mixed models, stratified for sex.

resultsCompared to controls, a new decreasing income trend emerged among women after stroke (logarithmic income per time -0.54; 95% CI -0.88 to -0.20), whereas men getting stroke showed declining earnings already by the time of the event, further declining after stroke (-1.00, -1.37 to -0.63). Getting heart attack was associated with a new declining trend both in women (-0.68; -1.28 to -0.09) and men (-0.69, -1.05 to -0.32). Income declined also among control men (-0.24, -0.34 to -0.14), who had higher income but were less educated than control women.

conclusionsStroke and heart attack but not cancer have exogenous deleterious effects on individual economy, independently of early-life factors. The effects accelerate by time. Negative income trend in control men shows that severe health events do not explain all decrease in income.

Indexed as

Myocardial InfarctionStrokeAdolescentAdultBirth CohortFemaleFinlandHumansIncomeMaleMiddle AgedYoung Adult

Identifiers

PMID36040214
PMCPMC9527968
OpenAlexW4293567279

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.