Nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance: a cross-sectional analysis in the American population
BackgroundDepressive 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...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1393782/full |
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| author | Chunqi Jiang Bo Wang Yinuo Qu Jun Wang Xin Zhang |
| author_facet | Chunqi Jiang Bo Wang Yinuo Qu Jun Wang Xin Zhang |
| author_sort | Chunqi Jiang |
| collection | DOAJ |
| description | BackgroundDepressive 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.MethodsWe 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.ResultsThe 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.ConclusionWe found a curve-like relationship between depressive symptom and homeostasis model assessment of insulin resistance. |
| format | Article |
| id | doaj-art-d54377c72f464df290e8ba96b9531aac |
| institution | Kabale University |
| issn | 1664-0640 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Psychiatry |
| spelling | doaj-art-d54377c72f464df290e8ba96b9531aac2025-01-22T07:11:02ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402025-01-011610.3389/fpsyt.2025.13937821393782Nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance: a cross-sectional analysis in the American populationChunqi Jiang0Bo Wang1Yinuo Qu2Jun Wang3Xin Zhang4Treatment of Disease Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, ChinaDepartment of Pediatrics, Central Hospital of Jinan City, Jinan, Shandong, ChinaTreatment of Disease Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, ChinaTreatment of Disease Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, ChinaCollege of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, ChinaBackgroundDepressive 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.MethodsWe 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.ResultsThe 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.ConclusionWe found a curve-like relationship between depressive symptom and homeostasis model assessment of insulin resistance.https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1393782/fullnon-linearcross-sectional studyNHANESdepressive symptomhomeostasis model assessment of insulin resistance |
| spellingShingle | Chunqi Jiang Bo Wang Yinuo Qu Jun Wang Xin Zhang Nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance: a cross-sectional analysis in the American population Frontiers in Psychiatry non-linear cross-sectional study NHANES depressive symptom homeostasis model assessment of insulin resistance |
| title | Nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance: a cross-sectional analysis in the American population |
| title_full | Nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance: a cross-sectional analysis in the American population |
| title_fullStr | Nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance: a cross-sectional analysis in the American population |
| title_full_unstemmed | Nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance: a cross-sectional analysis in the American population |
| title_short | Nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance: a cross-sectional analysis in the American population |
| title_sort | nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance a cross sectional analysis in the american population |
| topic | non-linear cross-sectional study NHANES depressive symptom homeostasis model assessment of insulin resistance |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1393782/full |
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