Evidence map›Paper›PMID 29681241›Full record

ArticleBMC medicine2018

Differences in the health transition patterns of migrants and non-migrants aged 50 and older in southern and western Europe (2004-2015).

Matias Reus-Pons, Clara H Mulder, Eva U B Kibele, Fanny Janssen

Open access · goldAbstract readHistorical Article
In one paragraph

Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 60 citations in OpenAlex.

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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

4 authors at 1 institution in 2 countries.

Matias Reus-PonsPopulation Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, The Netherlands.
Clara H MulderPopulation Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, The Netherlands. c.h.mulder@rug.nl.
Eva U B KibeleStatistical Office Bremen, Bremen, Germany.
Fanny JanssenPopulation Research Centre, Faculty of Spatial Sciences, University of Groningen, Groningen, The Netherlands.
University of Groningen · NL

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Understanding and Improving Healthcare Decision-Making and Outcomes for People Living with Alzheimer's Disease and Related DementiasP01AG005842 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI KOSALI ILAYPERUMA SIMON · 1986 to 2026
$56.5M
WEALTH DISPARITIES AMONG MATURE AND OLDER ADULTSP01AG008291 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1989 to 2018
$19.4M
RAND CENTER FOR THE STUDY OF AGINGP30AG012815 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1999 to 2020
$13.7M
DEVELOPING AN ISRAELI VERSION OF THE HRS/SHARE PROJECTR21AG025169 · NIA · HEBREW UNIVERSITY OF JERUSALEM · PI LITWIN, HOWARD · 2004 to 2006
$297k
NIA NIH HHS HHSN271201300071CNIA NIH HHS P01 AG005842NIA NIH HHS P01 AG008291NIA NIH HHS P30 AG012815NIA NIH HHS R21 AG025169NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

backgroundMost previous research on migrant health in Europe has taken a cross-sectional perspective, without a specific focus on the older population. Having knowledge about inequalities in health transitions over the life course between migrants and non-migrants, including at older ages, is crucial for the tailoring of policies to the demands of an ageing and culturally diverse society. We analyse differences in health transitions between migrants and non-migrants, specifically focusing on the older population in Europe.

methodsWe used longitudinal data on migrants and non-migrants aged 50 and older in 10 southern and western European countries from the Survey of Health, Ageing and Retirement in Europe (2004-2015). We applied multinomial logistic regression models of experiencing health deterioration among individuals in good health at baseline, and of experiencing health improvement among individuals in poor health at baseline, separately by sex, in which migrant status (non-migrant, western migrant, non-western migrant) was the main explanatory variable. We considered three dimensions of health, namely self-rated health, depression and diabetes.

resultsAt older ages, migrants in Europe were at higher risk than non-migrants of experiencing a deterioration in health relative to remaining in a given state of self-rated health. Western migrants had a higher risk than non-migrants of becoming depressed, while non-western migrants had a higher risk of acquiring diabetes. Among females only, migrants also tended to be at lower risk than non-migrants of experiencing an improvement in both overall and mental health. Differences in the health transition patterns of older migrants and non-migrants remained robust to the inclusion of several covariates, including education, job status and health-related behaviours.

conclusionsOur findings indicate that, in addition to having a health disadvantage at baseline, older migrants in Europe were more likely than older non-migrants to have experienced a deterioration in health over the study period. These results raise concerns about whether migrants in Europe are as likely as non-migrants to age in good health. We recommend that policies aiming to promote healthy ageing specifically address the health needs of the migrant population, thereby distinguishing migrants from different backgrounds.

Indexed as

Health TransitionCross-Sectional StudiesEuropeFemaleHistory, 21st CenturyHumansMaleMiddle AgedTransients and MigrantsAgeingEuropeHealth transitionsMigration

Identifiers

PMID29681241
PMCPMC5911969
OpenAlexW2800908242

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.