Background: Lipid Accumulation Product (LAP) is a new type of obesity index. The relationship between LAP and depression is unclear, and this cross-sectional study was conducted to explore the relationship between LAP and depression using the National Health and Nutrition Examination Survey (NHANES) database from 2005-2018.
Methods: In our study, logistic regression analysis was used to calculate the odds ratio between depression and LAP, and subgroup analysis and sensitivity analysis were also performed to verify the robustness of the results.
Results: The analysis included 13,240 participants aged 20 years or older. After adjusting for multiple variables, LAP was positively associated with depression, OR 1. 50 (95% CI, 1. 05-2. 12). In subgroup analysis, LAP was significantly positively, associated with depression among male (2. 52, OR; 95% CI, 1. 39,4. 57), non-Hispanic Black (2. 55, OR; 95% CI, 1. 49,4. 36), those without diabetes (1. 67, OR; 95% CI, (1. 06,2. 61) or in the overweight (2. 09, OR; 95% CI, (1. 23,3. 54) subgroups. After inverse probability of treatment weighting (IPTW), the OR for the highest versus lowest quartile was 1. 55 (95% CI: 1. 24 - 1. 95).
Conclusion: There are positive results between LAP and depression after adjusting for multiple potential variables, and prospective studies are needed to verify the results.
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http://dx.doi.org/10.3389/fpsyt.2024.1395766 | DOI Listing |
J Affect Disord
December 2024
Department of Nephrology, Shanghai Tenth People's Hospital, Shanghai 200032, China. Electronic address:
Background: Increasing studies have indicated that insulin resistance is a risk factor for the development of depression. The lipid accumulation product (LAP) has emerged as a novel biomarker of insulin resistance. This cross-sectional study aimed to explore the relationship between LAP and the risk of depression.
View Article and Find Full Text PDFJ Behav Ther Exp Psychiatry
March 2025
Department of Psychology, Sungkyunkwan University, South Korea.
Neurology
December 2024
From the Department of Radiology and Oncology (C.d.M.R., C.C.L.), Hospital das Clínicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP); LIM 44 (C.d.M.R., M.P.N., I.B.A., C.C.L.), Laboratory of Medical Investigation in Magnetic Resonance of the University of São Paulo, São Paulo, Brazil; MS Center Amsterdam (C.d.M.R., M.M.S.), Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Department of Neurology (S.L.A.-P., D.C.), Hospital das Clínicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP); Department of Epidemiology and Biostatistics (M.B.W.), Faculdade de Medicina, Universidade Federal do Rio Grande do Sul (UFRGS); Department of Epidemiology and Biostatistics (M.B.W.), School of Medicine, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Brazil; MS Center Amsterdam (F.B.), Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, location VUmc, the Netherlands; and Queen Square MS Center (F.B.), Department of Neuroinflammation, Institute of Neurology, Faculty of Brain Sciences, and Centre for Medical Image Computing (CMIC) (F.B.), Department of Medical Physics and Biomedical Engineering, University College London (UCL), United Kingdom.
Neuron
November 2024
Shenzhen Key Laboratory of Precision Diagnosis and Treatment of Depression, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; CAS Key Laboratory of Brain Connectome and Manipulation, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China. Electronic address:
Episodic memory is organized in both spatial and temporal contexts. The hippocampus is crucial for episodic memory and has been demonstrated to encode spatial and temporal information. However, how the representations of space and time interact in the hippocampal memory system is still unclear.
View Article and Find Full Text PDFJ Occup Environ Med
October 2024
From the Department of Urology, Icahn School of Medicine at Mount Sinai, New York, New York (N.M.); Center for Scientific Diversity, Icahn School of Medicine at Mount Sinai, New York, New York (N.M.); Institute for Translational Epidemiology, Icahn School of Medicine at Mount Sinai, New York, New York (N.M.); Department of Medical Education, Icahn School of Medicine at Mount Sinai, New York, New York (C.H.,L.A.P., J.H.R.); Office of Well-being and Resilience, Mount Sinai Health System, New York, New York (N.R.,C.F.,C.C.,L.A.P., J.H.P.); The City University of New York Graduate School of Public Health and Health Policy, New York, New York (N.R.); Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York (C.C., J.M.D.); James J. Peters Department of Veterans Affairs Medical Center, New York, New York (C.C.); Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York (U.C.); and Center for Scientific Diversity, Icahn School of Medicine at Mount Sinai, New York, New York (U.C.).
Objective: This study investigated the associations between anxiety, depression, and coping in healthcare workers during coronavirus disease 2019.
Methods: A survey used the Generalized Anxiety Disorder 2 to assess anxiety, the Patient Health Questionnaire 2 to assess depression, and the Brief Coping Orientation to Problems Experienced (COPE) scale to evaluate coping mechanisms.
Results: Of the 1172 participants who provided data, 24.
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