Evidence map›Paper›PMID 39911326›Full record

ArticleFrontiers in psychiatry2025

Nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance: a cross-sectional analysis in the American population.

Chunqi Jiang, Bo Wang, Yinuo Qu, Jun Wang, Xin Zhang

Abstract read
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Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chunqi JiangTreatment of Disease Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Bo WangDepartment of Pediatrics, Central Hospital of Jinan City, Jinan, Shandong, China.
Yinuo QuTreatment of Disease Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Jun WangTreatment of Disease Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Xin ZhangCollege of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depressive symptom, a pervasive mental health disorder, has garnered increasing attention due to its intricate interconnections with various physiological processes. One emerging avenue of investigation delves into the potential association between depressive symptom and Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), a parameter reflecting insulin resistance. The intricate interplay between these two domains holds promising implications for understanding the multifaceted nature of depressive symptom and its impact on metabolic health. Methods: We used weighted multivariable logistic regression models with subgroup analysis to explore the relationship between depressive symptom and homeostasis model assessment of insulin resistance. Non-linear correlations were explored using fitted smoothing curves. Then, we constructed a two-piece linear regression model and performed a recursive algorithm to calculate the inflection point. Results: The study included 20,282 participants in the United States. In the regression model adjusted for all confounding variables, the odds ratio (OR) for the correlation between depressive symptom and the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) was 1.01 (95% CI: 1.00, 1.01). However, a significant discrepancy between trend tests and regression analyses suggests a potential non-linear relationship between depressive symptom and the assessment of insulin resistance using the Homeostasis Model. Constrained cubic spline analysis confirmed this non-linear relationship, identifying an inflection point at 10.47. Before the inflection point, depressive symptom exhibited a significantly positive correlation with the assessment of insulin resistance using the Homeostasis Model. However, after the inflection point, a negative correlation was observed, though it did not reach statistical significance. Conclusion: We found a curve-like relationship between depressive symptom and homeostasis model assessment of insulin resistance.

Indexed as

cross-sectional studydepressive symptomhomeostasis model assessment of insulin resistanceNHANESnon-linear

Identifiers

PMID39911326
PMCPMC11794198

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