Evidence map›Paper›PMID 41691235›Full record

ArticleGlobalization and health2026

The well-being toll of revealed involuntary immobility: a quantitative study.

Nicolás Caso, Sorana Toma

Abstract read
In one paragraph

Article in Globalization and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Nicolás CasoDepartment of Public Health and Primary Care, Ghent University. Corneel Heymanslaan 10, Gent, 9000, Belgium. Nicolas.Caso@UGent.be.
Sorana TomaDepartment of Public Health and Primary Care, Ghent University. Corneel Heymanslaan 10, Gent, 9000, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

International migration is often driven by the desire to improve one’s well-being. For many, moving abroad represents a pathway to better economic opportunities, social conditions, or personal safety. Yet, not all individuals who aspire to migrate are able to do so. Involuntary immobility—a condition in which people wish to migrate but are constrained by external barriers such as legal restrictions, financial limitations, or lack of resources—may pose a significant challenge to subjective well-being. This study quantitatively examines the association between revealed involuntary immobility and subjective well-being using original survey data from over 12,000 young adults across 25 communities in Asia and Africa. We estimate this relationship using multiple regression models that control for other determinants of well-being and demographic characteristics. To address potential confounding between determinants of involuntary immobility and subjective well-being, we implement Propensity Score Matching. Our findings show that individuals who have experienced failed migration preparations or attempts report between 3% and 7% lower levels of subjective well-being compared to their peers. These results provide the first large-scale quantitative evidence on the toll of unfulfilled migration aspirations. We highlight the need to consider the indirect well-being consequences of migration-restrictive policies and call for policies that support individuals’ well-being in contexts of constrained mobility.

Indexed as

Emigration and ImmigrationAdultAfricaAsiaFemaleHumansMalePsychological Well-BeingSurveys and QuestionnairesYoung AdultAfricaAsiaInvoluntary immobilityLife satisfactionMiddle EastMIGNEXMigrationWell-being

Identifiers

PMID41691235
PMCPMC12908386

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.