Evidence map›Paper›PMID 40893854›Full record

ArticleFrontiers in psychology2025

Financial toxicity and psychological distress in cardiovascular non-cancer multimorbidity: a latent profile analysis and causal weighting.

Ruihan Wu, Jiali Zhou, Huafen Liu, Shanshan Liu, Xiaojie Ma, Tian Li, Jingjing Tao, Zhongxiang Cai

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Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ruihan Wu *Department of Nursing, Renmin Hospital of Wuhan University, Wuhan, China.
Jiali Zhou *Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Huafen LiuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Shanshan LiuDepartment of Geriatrics, Renmin Hospital of Wuhan University, Wuhan, China.
Xiaojie MaDepartment of Geriatrics, Renmin Hospital of Wuhan University, Wuhan, China.
Tian LiDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Jingjing TaoDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Zhongxiang CaiDepartment of Nursing, Renmin Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease with multimorbidity imposes substantial long-term financial burdens. Financial toxicity, the financial burden associated with healthcare, is increasingly recognized as a psychosocial stressor affecting health outcomes among chronically ill populations. However, its psychological heterogeneity in non-cancer patients is understudied. We aimed to identify financial toxicity profiles, their determinants, and associations with anxiety/depression in cardiovascular non-cancer multimorbidity. Methods: This study used a cross-sectional design. Utilizing latent profile analysis to identify distinct financial toxicity subgroups. Univariate and multivariate logistic regression analyses were employed to explore factors associated with subgroup membership. Inverse probability of treatment weighting based on covariate balancing propensity scores was applied to assess the associations between financial toxicity profiles and psychological distress. Doubly robust regression models were utilized to validate the robustness of the observed associations. Results: Financial toxicity was categorized into three latent profiles: mild (63.8%), moderate (11.0%), and none (25.2%). Demographic, economic, social support, and coping variables significantly differed across profiles. In weighted regression models using inverse probability of treatment weighting based on covariate balancing propensity scores, both mild and moderate toxicity were associated with elevated anxiety ( Conclusion: Financial toxicity is prevalent and heterogeneous in cardiovascular multimorbidity. Its distinct profiles predict elevated psychological distress, supporting targeted interventions to alleviate financial burden and enhance mental health resilience.

Indexed as

anxietycardiovasculardepressiondoubly robust estimationfinancial toxicityinverse probability of treatment weightinglatent profile analysisnon-cancer multimorbidity

Identifiers

PMID40893854
PMCPMC12394136

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