Evidence map›Paper›PMID 31844031›Full record

ArticleJournal of epidemiology and community health2020

Sex differences in health and mortality by income and income changes.

Linda Juel Ahrenfeldt, Jacob Krabbe Pedersen, Mikael Thinggaard, Kaare Christensen, Rune Lindahl-Jacobsen

Open access · greenAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  8. Factors Affecting High Body Weight Variability.Journal of obesity & metabolic syndrome · 2023
    Article
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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

5 authors at 1 institution in 1 country.

Linda Juel AhrenfeldtUnit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark lahrenfeldt@health.sdu.dk.ORCID 0000-0002-5018-1642
Jacob Krabbe PedersenUnit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Mikael ThinggaardUnit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Kaare ChristensenUnit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Rune Lindahl-JacobsenUnit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark.
University of Southern Denmark · DK

Funding

TRAJECTORIES OF MORTALITY IN CAENORHABDITIS ELEGANSP01AG008761 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI YASHIN, ANATOLIY I · 1990 to 2008
$17.5M
THE RANGE OF MALE-FEMALE MORTALITY DIFFERENCESP01AG031719 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2009 to 2020
$10.2M
NIA NIH HHS P01 AG008761NIA NIH HHS P01 AG031719
6 · The paper itself

Abstract

backgroundThe adverse association between income, health and survival is well documented, but little is known about how income trajectories influence health and survival for men and women. We aim to investigate sex differences in mortality and hospitalisations by income and income changes.

methodsWe performed a population-based, nationwide study including 1 063 787 Danes born 1935-1955 and residing in Denmark during 1980-2015. Income was calculated during two age intervals: 45-49 and 55-59 years. The average income was divided into quartiles for men and women separately, which formed the basis for the income trajectories. Individuals were followed up from age 60 until 2014/2015 for hospital admission and mortality, respectively.

resultsMen had higher mortality and were more hospitalised than women. Sex differences in mortality were most pronounced for people with stable low income (relative difference in hazard=1.93; 95% CI 1.89 to 1.98) and a downward income trajectory (1.91; 95% CI 1.85 to 1.98) with smaller sex differences for people with an upward trajectory (1.59; 95% CI 1.56 to 1.62) and stable high income (1.37; 95% CI 1.33 to 1.41). A similar pattern was found for family income. Regarding hospitalisations, similar results were found, though less pronounced. Investigation of mortality and hospitalisations by all possible trajectories demonstrated that income at ages 55-59 was an important predictor of mortality, with increasing mortality for decreasing income quartile.

conclusionIncome trajectories as a proxy for change in social position have a larger influence on men's than women's health and mortality. Income in the late 50s is an important predictor of mortality, particularly for men.

Indexed as

HealthDenmarkFemaleHospitalizationHumansIncomeMaleMiddle AgedMortalityPovertySex DistributionSex FactorsSocioeconomic FactorsDenmarkhospital admissionsincomemortalitySex differences

Identifiers

PMID31844031
PMCPMC7212301
OpenAlexW2995691726

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.