Evidence map›Paper›PMID 42415088›Full record

ArticleBMC medicine2026

Fragmented employment inclusion and lifespan health outcomes for autistic adults: systemic barriers and implications in China.

Xi Wang, Xiaoli Guo

Abstract read
In one paragraph

Article in BMC medicine, 2026. 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
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Xi WangDepartment of Sociology, Jilin University, No. 2699, Qian Jin Road, Changchun, China. wangxijilindaxue@163.com.ORCID http://orcid.org/0000-0003-0363-0473
Xiaoli GuoSchool of Economics and Management, Changchun University of Technology, No. 2055, Kuanping Road, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmployment is a core social determinant of long-term health, well-being, and social inclusion across the autism lifespan, yet autistic adults face severe, globally pervasive employment inequities. Existing research has disproportionately focused on childhood diagnosis and intervention, with limited exploration of systemic barriers to substantive employment inclusion for autistic adults, particularly in non-Western family-led welfare contexts amid state welfare retrenchment. This study addresses this gap by examining how multi-stakeholder goal misalignment shapes fragmented employment inclusion for autistic adults and its implications for health equity.

methodsThis study integrates Job Fit Theory and Regulatory Focus Theory to conduct an exploratory qualitative analysis, using maximum variation sampling to recruit 37 key stakeholders (parents, parents-led organizations, pre-employment training institutions, and employers) across four Chinese cities (Beijing, Guangzhou, Xi'an, and Changchun). Data were collected through 48 semi-structured interviews and long-term participant observation of sheltered workshops and cross-sector negotiation meetings, with thematic analysis applied for data coding. Autistic adults were not directly interviewed in this study because we focused on key interest-holders who directly shape their employment trajectories and daily work experiences.

resultsCore findings reveal three critical forms of fragmented inclusion: parents' collective prevention orientations narrow skill-demand matching to behavioral compliance, isolating autistic adults from mainstream labor markets; employers' promotion-prevention conflicts result in symbolic hiring ("paid absence"-a practice where employers keep autistic adults on the payroll and pay them salaries but do not require them to attend work or perform meaningful tasks), maintaining formal employment status while undermining substantive inclusion; and these dynamics form a "proxy-driven fragmented inclusion paradox," trapping job fit in a low-equilibrium state where short-term employment stability perpetuates capability deprivation.

conclusionsThis study reveals how policies redistribute regulatory labor to families, exacerbating health inequities for autistic adults. These findings point toward a normative ethical framework that balances protection and autonomy and underscore that employment policies must empower autistic adults as active agents in their own employment trajectories. The findings offer critical insights for global autism employment policy and health equity practice for autistic adults.

Indexed as

Autistic DisorderEmploymentSocial InclusionAdultChinaFemaleHumansMaleMiddle AgedQualitative Researchautistic adultsChinaemploymentfragmented inclusionpaid absenceparent-led organizationsparents

Identifiers

PMID42415088
PMCPMC13637336

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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.