Evidence map›Paper›PMID 42303686›Full record

ArticleScientific reports2026

The association of positive and negative affect with care dependence in elderly patients with senile cataract: the mediating role of self-regulatory fatigue.

Xue Zhao, Shunmei Qiu, Changhong Ye, Xiaowen Sun, Yingying Luo, Yuan Liu

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Article in Scientific reports, 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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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

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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

6 authors.

Xue ZhaoThe Affiliated Hospital of Guizhou Medical University, No. 28, GuiYi Street, Guiyang, 550004, Guizhou, China. 1171396675@qq.com.
Shunmei QiuSchool of Nursing, Guizhou Medical University, No. 9, Beijing Road, Guiyang, 550004, Guizhou, China.
Changhong YeThe Affiliated Hospital of Guizhou Medical University, No. 28, GuiYi Street, Guiyang, 550004, Guizhou, China.
Xiaowen SunThe Affiliated Hospital of Guizhou Medical University, No. 28, GuiYi Street, Guiyang, 550004, Guizhou, China.
Yingying LuoThe Affiliated Hospital of Guizhou Medical University, No. 28, GuiYi Street, Guiyang, 550004, Guizhou, China.
Yuan LiuThe Affiliated Hospital of Guizhou Medical University, No. 28, GuiYi Street, Guiyang, 550004, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Senile cataract is a leading cause of visual impairment in older adults worldwide, yet the psychological mechanisms (particularly the role of self-regulatory fatigue) through which affective states influence care dependence in this population remain poorly understood. A cross-sectional survey was conducted in the Ophthalmology Outpatient Department of the Affiliated Hospital of Guizhou Medical University from January to May 2025. Positive and negative affect were assessed using the Chinese-revised Positive and Negative Affect Schedule Short (PANAS), self-regulatory fatigue using the Self-Regulatory Fatigue Scale (SRF-S), and care dependency using the Care Dependency Scale (CDS). Correlation analyses were conducted, and a path analysis using structural equation modeling was performed to evaluate direct and indirect effects while adjusting for the visual acuity of the affected eye, age, gender, monthly per capita income, and marital status. The study included 452 participants. The parsimonious path analysis showed that positive affect was positively associated with the CDS score (standardized β = 0.324, P < 0.001; higher CDS scores indicate greater independence/lower care dependence) and negatively associated with self-regulatory fatigue (standardized β = - 0.367, P < 0.001). In contrast, negative affect was negatively associated with the CDS score (standardized β = - 0.139, P = 0.004), indicating greater care dependence, and positively associated with self-regulatory fatigue (standardized β = 0.543, P < 0.001). Self-regulatory fatigue was negatively associated with the CDS score (standardized β = - 0.184, P = 0.001), also indicating greater care dependence. Bootstrap analysis confirmed significant indirect effects of positive affect (standardized β = 0.068, 95% CI 0.028-0.109, P = 0.003) and negative affect (standardized β = - 0.099, 95% CI - 0.152 to - 0.043, P = 0.002) on the CDS score through self-regulatory fatigue. These findings highlight associations between emotional and self-regulatory states and care dependence (as reflected in the CDS score) in elderly cataract patients.

Indexed as

AffectCataractFatigueAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleAgedCataractCross-sectional studiesDependencyEmotionsFatigueSelf-control

Identifiers

PMID42303686
PMCPMC13507277

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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.