Evidence map›Paper›PMID 42821991›Full record

ArticleJMIR public health and surveillance2026

Prevalence of Rest Intolerance and Its Associations With Mental Health and Quality of Life Among Adults in China: Cross-Sectional Study.

Fei Wang, Xuanjing Ji, Xin Guan, Ting Wang, Rui Zhong, Yibo Wu, Tingshao Zhu

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Article in JMIR public health and surveillance, 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fei WangState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-8283-1363
Xuanjing JiSchool of Public Health, Shandong University, Jinan, China.ORCID https://orcid.org/0009-0005-1049-378X
Xin GuanSchool of Nursing, China Medical University, Shenyang, China.ORCID https://orcid.org/0009-0008-6442-5223
Ting WangSchool of Nursing, Jilin University, Changchun, China.ORCID https://orcid.org/0009-0007-1873-6429
Rui ZhongSchool of Psychology, South China Normal University, Guangzhou, China.ORCID https://orcid.org/0009-0000-1305-8250
Yibo Wu *Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.ORCID https://orcid.org/0000-0001-9607-313X
Tingshao Zhu *State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0003-0020-3812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRest intolerance, the experience of negative emotions when attempting to rest, is an emerging public health concern, yet its population-based epidemiology remains poorly understood.

objectiveThis study systematically investigated the prevalence, distribution, and health correlates of rest intolerance among adults in China, with particular focus on its manifestation in highly educated and younger populations.

methodsWe analyzed cross-sectional data from 24,405 adults in the 2024 Psychology and Behavior Investigation of Chinese Residents (PBICR) survey. Rest intolerance (Rest Intolerance Scale-8 [RIS-8]), mental health (Patient Health Questionnaire-9 [PHQ-9], Generalized Anxiety Disorder-R3 [GAD-R3], and Perceived Stress Scale-4 [PSS-4]), and quality of life (EQ-5D-5L or EuroQol visual analog scale [EQ-VAS]) were assessed. Cutoffs were derived via cluster analysis and latent profile analysis, followed by regression and moderation analyses.

resultsThe overall prevalence of high rest intolerance was 14.94% (3645/24,405). Notably, rates were significantly elevated among younger adults and those with higher educational levels. Rest intolerance was significantly associated with adverse mental health outcomes (anxiety: β=0.406; depression: β=0.402; and perceived stress: β=0.440; all P<.001) and reduced quality of life (EQ-5D: β=-0.115 and EQ-VAS: β=-0.117; both P<.001). Moderation analyses further revealed that these adverse associations were stronger among highly educated and younger individuals.

conclusionsRest intolerance affects 14.94% of adults in China, with highly educated and younger populations constituting particularly high-risk groups. The condition demonstrates robust associations with adverse mental health outcomes and diminished quality of life, especially among these populations. These findings underscore the need for targeted psychological interventions and workplace health policies addressing rest-related distress in contemporary performance-oriented societies.

Indexed as

Mental HealthQuality of LifeRestAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceSurveys and QuestionnairesYoung AdultChinese adultsmental healthprevalencequality of liferest intolerance

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PMID42821991

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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.