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Liang K, Zhang X. Association between Life's Essential 8 and cognitive function: insights from NHANES 2011-2014. Front Aging Neurosci 2024; 16:1386498. [PMID: 38650867 PMCID: PMC11034366 DOI: 10.3389/fnagi.2024.1386498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 03/15/2024] [Indexed: 04/25/2024] Open
Abstract
Introduction Life's Essential 8 (LE8) is prompted by the American Heart Association (AHA) to assess cardiovascular health. The association between LE8 and cognitive function in America is unknown. Our study was to investigate the association of LE8 with cognitive function in general adults. Materials and methods A total of 2,301 participants were enrolled in the National Health and Nutrition Examination Surveys (NHANES). LE8 scores (range 0-100) were obtained from measurements based on American Heart Association definitions, divided into health behavior and health factor scores. Cognitive function was assessed by three tests including the Consortium to Establish a Registry for Alzheimer's Disease (CERAD), Animal fluency test (AFT), and Digit Symbol Substitution test (DSST). The multivariable linear regression analysis explored the associations between LE8 and cognitive function. Smooth curve fitting was explored using restricted cubic splines. The inflection point was determined by the two-piecewise linear regression. Results In the multivariable linear regression model with full adjustment for confounding variables, AFT scores were 1.2 points higher in participants with LE8 scores >80 than in those with LE8 scores <50 (high LE8 score group: β = 1.20, 95% CI 0.37, 2.03), and 3.32 points higher in DSST (high LE8 score group: β = 3.32, 95% CI 1.24, 5.39). Although high LE8 scores show a Negative association with high CERAD, we found a significant association between higher LE8 scores and higher CERAD when LE8 scores were higher than 82.5 (β = 0.21 95%CI 0.04, 0.39, p-value = 0.0179). Conclusion Our study highlighted a positive association between Life's Essential 8 and cognitive function in older adults.
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Affiliation(s)
- Kangni Liang
- Zhejiang Chinese Medical University, Hangzhou, China
| | - Xiaoling Zhang
- Department of Neurology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China
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Lv JZ, Du XZ, Wu Q, Gao Y, Zhao W, Wang X, Li Y, Li JX, Cao X, Li X, Xu Y, Zhang Y, Ren ZY, Liu S. Plasma levels of hydrogen sulfide and homocysteine correlate with the efficacy of antidepressant agents and serve as potential diagnostic and therapeutic markers. Nitric Oxide 2024; 145:33-40. [PMID: 38382866 DOI: 10.1016/j.niox.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 02/10/2024] [Indexed: 02/23/2024]
Abstract
OBJECTIVE Hydrogen sulfide (H2S) is associated with depressive-like behavior in rodents. We undertook cross-sectional and longitudinal analyses of plasma levels of H2S and its substrate homocysteine (Hcy) in depression and assessed the association of both parameters with psychopathology and cognitive function. METHODS Forty-one patients suffering from depression (PSDs) and 48 healthy volunteers were recruited. PSDs were treated for 8 weeks. Analyzable data were collected from all participants for assessment of their psychopathology and cognitive function. Plasma was collected for determination of levels of H2S and Hcy, and data were correlated to determine their potential as plasma biomarkers. RESULTS Cross-sectional analyses revealed PSDs to have a low plasma H2S level and high Hcy level. Longitudinal analyses revealed that 8 weeks of treatment reversed the changes in plasma levels of H2S and Hcy in PSDs. Plasma levels of H2S and Hcy were associated with psychopathology and cognitive function in depression. The area under the receiver operating characteristic curve (AUC) for a combination of plasma levels of H2S and Hcy and expression of the TNF gene (i.e., H2S-Hcy-TNF) was 0.848 for diagnosing depression and 0.977 for predicting the efficacy of antidepressant agents. CONCLUSION Plasma levels of H2S and Hcy reflect changes in psychopathology and cognitive function in depression and H2S-Hcy-TNF has the potential to diagnose depression and predict the efficacy of antidepressant medications.
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Affiliation(s)
- Jin-Zhi Lv
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Physiology, School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China
| | - Xin-Zhe Du
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Qian Wu
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yao Gao
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Wentao Zhao
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xiao Wang
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yue Li
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Jun-Xia Li
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xiaohua Cao
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xinrong Li
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yu Zhang
- Department of Physiology, School of Basic Medical Sciences, Shanxi Medical University, Taiyuan, China; Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan, China.
| | - Zhi-Yong Ren
- Female Deaprtment of Schizophrenia, Shanxi Province Mental Health Center/Taiyuan Psychiatric Hospital, Taiyuan, China.
| | - Sha Liu
- Department of psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan, China.
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Li T, Hu W, Han Q, Wang Y, Ma Z, Chu J, He Q, Feng Z, Sun N, Shen Y. Trajectories of quality of life and cognition in different multimorbidity patterns: Evidence from SHARE. Arch Gerontol Geriatr 2024; 117:105219. [PMID: 37812973 DOI: 10.1016/j.archger.2023.105219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 10/01/2023] [Accepted: 10/03/2023] [Indexed: 10/11/2023]
Abstract
OBJECTIVES The study aimed to observe the trajectory of quality of life (QoL) and cognition, and to a analyze the bidirectional association between cognition and QoL for diverse multimorbidity patterns. METHODS In total, 16,153 older participants age ≥50 years were included from the Survey of Health, Ageing and Retirement in Europe (SHARE). We used latent class analysis (LCA) to identify multimorbidity patterns in the baseline population. We used linear mixed models (LMM) to examine the trajectory of cognition and QoL in different multimorbidity patterns. A cross-lagged model was employed to analyze the bidirectional association between cognition and QoL in diverse multimorbidity patterns. RESULTS Latent class analysis identified four multimorbidity patterns: high and low comorbidity burden (HC and LC), cardiometabolic (CA), and osteoarthrosis (OS). The HC group had the poorest cognitive function and QoL (p for trend < 0.001). Delayed and immediate episodic memory in the OS group declined at a highest rate (p for trend < 0.001). Additionally, a bidirectional association between cognition and QoL was observed. The effect of cognitive function on QoL was relatively stronger than the reverse in the CA and LC groups. CONCLUSIONS The rate of decline in cognition and QoL over the time differs in diverse multimorbidity patterns, and patients with four or more chronic diseases should be specially considered. Notably, early monitoring of cognitive function and can help break the vicious cycle between cognitive deterioration and poor QoL in patients with OS or CA diseases.
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Affiliation(s)
- Tongxing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Wei Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Qiang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Yu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Ze Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Jiadong Chu
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Qida He
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Zhaolong Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Na Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China
| | - Yueping Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, China.
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Zhao C, Habtewold TD, Naderi E, Liemburg EJ, Bruggeman R, Alizadeh BZ. Association of clinical symptoms and cardiometabolic dysregulations in patients with schizophrenia spectrum disorders. Eur Psychiatry 2023; 67:e7. [PMID: 38088065 DOI: 10.1192/j.eurpsy.2023.2477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND Patients with schizophrenia spectrum disorders (SSD) have a shortened life expectancy related to cardiovascular diseases. We investigated the association of cognitive, positive, and negative symptoms with cardiometabolic dysregulations in SSD patients. METHODS Overall, 1,119 patients from the Genetic Risk and Outcome in Psychosis (GROUP) study were included. Cognitive function, positive and negative symptoms were assessed at baseline, 3-year, and 6-year. Cardiometabolic biomarkers were measured at 3-year follow-up. We used linear and multinomial logistic regression models to test the association between cardiometabolic biomarkers and clinical trajectories and performed mediation analyzes, while adjusting for clinical and demographic confounders. RESULTS Cognitive performance was inversely associated with increased body mass index (mean difference [β], βhigh = -1.24, 95% CI = -2.28 to 0.20, P = 0.02) and systolic blood pressure (βmild = 2.74, 95% CI = 0.11 to 5.37, P = 0.04). The severity of positive symptoms was associated with increased glycated hemoglobin (HbA1c) levels (βlow = -2.01, 95% CI = -3.21 to -0.82, P = 0.001). Increased diastolic blood pressure (ORhigh-decreased = 1.04, 95% CI = 1.01 to 1.08, P = 0.02; ORhigh-increased = 1.04, 95% CI = 1.00 to 1.08, P = 0.048) and decreased high-density lipoprotein (OR high-increased = 6.25, 95% CI = 1.81 to 21.59, P = 0.004) were associated with more severe negative symptoms. Increased HbA1c (ORmoderate = 1.05, 95% CI = 1.01 to 1.10, P = 0.024; ORhigh = 1.08, 95% CI = 1.02 to 1.14, P = 0.006) was associated with more severe positive symptoms. These associations were not mediated by antipsychotics. CONCLUSIONS We showed an association between cardiometabolic dysregulations and clinical and cognitive symptoms in SSD patients. The observed associations underscore the need for early identification of patients at risk of cardiometabolic outcomes.
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Affiliation(s)
- Chenxu Zhao
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Tesfa Dejenie Habtewold
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Elnaz Naderi
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Edith J Liemburg
- Department of Psychiatry, Rob Giel Research Center, University Center for Psychiatry, Groningen, The Netherlands
| | - Richard Bruggeman
- Department of Psychiatry, Rob Giel Research Center, University Center for Psychiatry, Groningen, The Netherlands
| | - Behrooz Z Alizadeh
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Su W, Lu H, Li Q, Tang Z, Dang H, Han K, Li H, Liu Y, Zhang H. Characteristics of cognition impairment in patients after stroke based on the Wechsler Adult Intelligence Scale-Revised in China. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-8. [PMID: 37141150 DOI: 10.1080/23279095.2023.2205023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
We aimed to explore the cognitive characteristics of patients with post-stroke cognition impairment (PSCI) on the basis of the Wechsler Adult Intelligence Scale-Revised in China (WAIS-RC) and the individual contribution of the subtests to WAIS score. We included 227 patients with PSCI who were assessed using the WAIS-RC. We described the characteristics and score distribution of the scale and subtests individually and compared them with those of the normal group to measure the damage degree of these patients. We performed item response theory analysis to explore the best criterion score for all dimensions that allowed ideal discrimination and difficulty for reflecting cognitive level. Finally, we analyzed the contribution of each dimension to the overall cognitive function. Patients with PSCI showed worse cognition levels than healthy individuals in terms of overall intelligence quotient (73.26-100, -1.78 SD), with a difference of 4.54-7.96 points in each dimension (-0.68 to -1.82 SD), and a range of 5-7 points is the appropriate range for reflecting cognitive ability in patients with PSCI. The average cognitive level of patients with PSCI was significantly inferior to normal people (-1.78 SD, 96.25%). Vocabulary contributes most to WAIS score.
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Affiliation(s)
- Wenlong Su
- China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, P.R. China
- School of Health and Life Science, University of Health and Rehabilitation Sciences, Qingdao City, P.R. China
| | - Haitao Lu
- China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, P.R. China
- China Rehabilitation Research Center, Beijing Bo'ai Hospital, Beijing, P.R. China
| | - Qiaodan Li
- China Rehabilitation Research Center, Beijing Bo'ai Hospital, Beijing, P.R. China
| | - Zhiqing Tang
- China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, P.R. China
- China Rehabilitation Research Center, Beijing Bo'ai Hospital, Beijing, P.R. China
| | - Hui Dang
- School of Health and Life Science, University of Health and Rehabilitation Sciences, Qingdao City, P.R. China
- China Rehabilitation Research Center, Beijing Bo'ai Hospital, Beijing, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Kaiyue Han
- China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, P.R. China
- China Rehabilitation Research Center, Beijing Bo'ai Hospital, Beijing, P.R. China
| | - Hui Li
- School of Health and Life Science, University of Health and Rehabilitation Sciences, Qingdao City, P.R. China
- China Rehabilitation Research Center, Beijing Bo'ai Hospital, Beijing, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
| | - Ying Liu
- China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, P.R. China
- China Rehabilitation Research Center, Beijing Bo'ai Hospital, Beijing, P.R. China
| | - Hao Zhang
- China Rehabilitation Research Center, School of Rehabilitation, Capital Medical University, Beijing, P.R. China
- School of Health and Life Science, University of Health and Rehabilitation Sciences, Qingdao City, P.R. China
- China Rehabilitation Research Center, Beijing Bo'ai Hospital, Beijing, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, P.R. China
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Liu H, Huang Z, Zhang X, He Y, Gu S, Mo D, Wang S, Yuan Z, Huang Y, Zhong Q, Zhou R, Wu K, Zou F, Wu X. Association between lipid metabolism and cognitive function in patients with schizophrenia. Front Psychiatry 2022; 13:1013698. [PMID: 36506447 PMCID: PMC9729695 DOI: 10.3389/fpsyt.2022.1013698] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 11/03/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The association between blood lipids and cognitive function in schizophrenia is still controversial. Thus, the present study aimed to verify the association between various lipid parameters and cognitive impairment in schizophrenic patients and potential lipid pathways. METHODS A total of 447 adult inpatients with schizophrenia were divided into cognitive normal and cognitive impairment groups based on the Mini-Mental State Examination with a cut-off of 26. The blood lipid parameters were defined as abnormal levels based on the guideline. The liquid chromatography-mass spectrometry method was used to preliminarily explore the potential lipid metabolism pathway associated with cognitive impairment. RESULTS There were 368 (82.3%) patients who had cognitive impairment. Herein, apolipoprotein B was positively associated with cognitive function in overall patients and age (≥45 and <45 years) and sex subgroups. After excluding patients with hypertension and diabetes, ApoB was still significantly associated with cognitive function in all the patients. The associations between other lipid parameters, including non-high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglyceride, and cognitive impairment were heterogeneous in age and sex subgroups. In contrast, total cholesterol and apolipoprotein A1 were not significantly associated with cognitive impairment. Metabolomics analysis showed that metabolic pathway mainly involved sphingolipid metabolism. Meanwhile, sphinganine and 3-dehydrosphinganine were positively correlated with lipid parameters and decreased in patients with cognitive impairment as compared to those with normal cognition. CONCLUSIONS The present study suggests a positive association between lipids and cognitive function in schizophrenic patients and needs to be further verified by a prospective study.
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Affiliation(s)
- Huamin Liu
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Zhiwei Huang
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | | | - Yong He
- Baiyun Jingkang Hospital, Guangzhou, China
| | | | - Dan Mo
- Baiyun Jingkang Hospital, Guangzhou, China
| | | | - Zelin Yuan
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yining Huang
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Qi Zhong
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Rui Zhou
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Keyi Wu
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Fei Zou
- Department of Occupational Health and Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xianbo Wu
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
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