Evidence map›Paper›PMID 42828153›Full record

ArticleBrain, behavior, & immunity - health2026

Association of anxiety, depressive symptoms, and inflammatory indices with cardiometabolic multimorbidity.

Meng Zhang, Xin Guo, Xue Ma, Jinghong Jia, Hua Zhang, Dan Wang, Xiujun Zhang, Yanan Ma, Xiaoming Li

Abstract read
In one paragraph

Article in Brain, behavior, & immunity - 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.

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0citing papers in PubMed
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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

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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

9 authors.

Meng ZhangSchool of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan, Hebei Province, 063210, China.
Xin GuoKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University, Department of Biostatistics and Epidemiology, School of Public Health, No.77 Puhe Road, Shenyang, Liaoning Province, 110122, China.
Xue MaSchool of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan, Hebei Province, 063210, China.
Jinghong JiaSchool of Psychology and Mental Health, North China University of Science and Technology, Tangshan, Hebei, 063210, China.
Hua ZhangSchool of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan, Hebei Province, 063210, China.
Dan WangSchool of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan, Hebei Province, 063210, China.
Xiujun ZhangSchool of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan, Hebei Province, 063210, China.
Yanan MaKey Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University, Department of Biostatistics and Epidemiology, School of Public Health, No.77 Puhe Road, Shenyang, Liaoning Province, 110122, China.
Xiaoming LiSchool of Public Health, North China University of Science and Technology, No. 21 Bohai Avenue, Caofeidian New Town, Tangshan, Hebei Province, 063210, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiometabolic multimorbidity (CMM) represents a major global public health challenge associated with increased mortality and reduced quality of life. While psychological distress (including anxiety and depression) and systemic inflammation have each been linked to individual cardiometabolic conditions, their combined associations with multimorbidity remain insufficiently understood. Previous literature suggests interrelationships between psychological symptoms and inflammation, but the temporal direction of these relationships cannot be examined in the present cross-sectional analysis. This cross-sectional study included 5903 community-dwelling adults in Tangshan, China. Demographic, lifestyle, and mental health data were collected via structured questionnaires; anxiety and depression were assessed using the GAD-7 and PHQ-9 scales. Five inflammatory indices (NLR, PLR, SII, LNR, NPR) were derived from routine blood tests, and CMM was defined as the coexistence of ≥2 cardiometabolic conditions. Statistical analyses included multivariable logistic regression, restricted cubic spline modelling, interaction analyses, and sensitivity analyses. The sample included 44.49% males and 55.51% females, with an overall CMM prevalence of 15.2%. Anxiety (OR = 1.15, 95% CI: 1.00-1.28) and depression (OR = 1.25, 95% CI: 1.03-1.53) were associated with higher odds of prevalent CMM. In the fully adjusted model, higher tertiles of NLR, PLR, SII, LNR, and NPR were associated with CMM. Additional exploratory component-based analyses showed that standardized natural log(1+x)-transformed neutrophil and platelet counts remained associated with CMM in mutually adjusted models, whereas lymphocyte count did not. Exploratory discrimination analyses showed limited single-marker performance for anxiety or depressive symptoms across CMM strata (AUC range, 0.488-0.574), and adding inflammatory ratios or blood-cell components to common clinical determinants produced only small AUC changes (Delta AUC range, 0.001-0.020). These findings suggest that anxiety symptoms, depressive symptoms, and blood-cell-derived inflammatory indices are associated with prevalent cardiometabolic multimorbidity. However, the exploratory discrimination analyses indicated limited incremental or stand-alone discriminatory performance; therefore, these indices should not be interpreted as diagnostic or screening tools. Because this study was cross-sectional and observational, causal and predictive interpretations are not warranted.

Indexed as

Anxiety symptomsBlood-cell-derived inflammatory indicesCardiometabolic multimorbidityDepressive symptoms

Identifiers

PMID42828153
PMCPMC13631668

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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.