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Qi G, Wang J, Chen Y, Wei W, Sun C. Association between dietary spermidine intake and depressive symptoms among US adults: National Health and Nutrition Examination Survey (NHANES) 2005-2014. J Affect Disord 2024; 359:125-132. [PMID: 38729223 DOI: 10.1016/j.jad.2024.05.041] [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] [Received: 01/22/2024] [Revised: 05/05/2024] [Accepted: 05/07/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Spermidine (SPD) has a number of advantageous effects, including life extension and neuroprotection. However, few observational studies have investigated the association of dietary SPD intake with depression. METHODS We used data from the 2005-2014 National Health and Nutrition Examination Survey (NHANES) and the corresponding Food Patterns Equivalents Database (FPED). SPD content of food groups from published data were merged with the appropriate FPED data to estimate the SPD intake for each subject. Patients with Patient Health Questionnaire-9 (PHQ-9) scores of 10 or above were thought to experience clinically relevant depression symptoms. Logistic regression, sensitivity analysis, and restricted cubic spline (RCS) were used. RESULTS Among the 19,306 participants, the overall prevalence of depression was 8.72 %. After controlling for relevant confounders, individuals in the highest tertile or quartile of total SPD and SPD derived from fruits, vegetables, cereals, nuts, eggs and seafood had a significantly lower prevalence of depression (OR total SPD = 0.77, 95 % CI: 0.63-0.93); OR fruit-sourced SPD = 0.81, 95 % CI: 0.68-0.95; OR vegetable-sourced SPD = 0.72, 95 % CI: 0.61-0.85; OR cereals-sourced SPD = 0.73,95 % CI:0.60-0.88; OR nuts- sourced SPD = 0.80, 95 % CI: 0.71-0.91; OR egg-sourced = 0.72, 95 % CI: 0.62-0.84 and OR seafood-sourced SPD = 0.65, 95 % CI: 0.55-0.77) comparing those in the lowest tertile or quartile. CONCLOUSION Our fndings reveal a negative association between dietary SPD intake and depression.
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Affiliation(s)
- Guolian Qi
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision nutrition and health, Ministry of Education, Harbin Medical University, Heilongjiang, China
| | - Jianing Wang
- Department of Cerebrovascular Disease, The Fifth Afliated Hospital, Sun Yat-Sen University, Zhuhai 519000, China
| | - Yunyan Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision nutrition and health, Ministry of Education, Harbin Medical University, Heilongjiang, China
| | - Wei Wei
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision nutrition and health, Ministry of Education, Harbin Medical University, Heilongjiang, China
| | - Changhao Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision nutrition and health, Ministry of Education, Harbin Medical University, Heilongjiang, China.
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Qiu L, Liang C, Kochunov P, Hutchison KE, Sui J, Jiang R, Zhi D, Vergara VM, Yang X, Zhang D, Fu Z, Bustillo JR, Qi S, Calhoun VD. Associations of alcohol and tobacco use with psychotic, depressive and developmental disorders revealed via multimodal neuroimaging. Transl Psychiatry 2024; 14:326. [PMID: 39112461 PMCID: PMC11306356 DOI: 10.1038/s41398-024-03035-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 07/18/2024] [Accepted: 07/23/2024] [Indexed: 08/10/2024] Open
Abstract
People affected by psychotic, depressive and developmental disorders are at a higher risk for alcohol and tobacco use. However, the further associations between alcohol/tobacco use and symptoms/cognition in these disorders remain unexplored. We identified multimodal brain networks involving alcohol use (n = 707) and tobacco use (n = 281) via supervised multimodal fusion and evaluated if these networks affected symptoms and cognition in people with psychotic (schizophrenia/schizoaffective disorder/bipolar, n = 178/134/143), depressive (major depressive disorder, n = 260) and developmental (autism spectrum disorder/attention deficit hyperactivity disorder, n = 421/346) disorders. Alcohol and tobacco use scores were used as references to guide functional and structural imaging fusion to identify alcohol/tobacco use associated multimodal patterns. Correlation analyses between the extracted brain features and symptoms or cognition were performed to evaluate the relationships between alcohol/tobacco use with symptoms/cognition in 6 psychiatric disorders. Results showed that (1) the default mode network (DMN) and salience network (SN) were associated with alcohol use, whereas the DMN and fronto-limbic network (FLN) were associated with tobacco use; (2) the DMN and fronto-basal ganglia (FBG) related to alcohol/tobacco use were correlated with symptom and cognition in psychosis; (3) the middle temporal cortex related to alcohol/tobacco use was associated with cognition in depression; (4) the DMN related to alcohol/tobacco use was related to symptom, whereas the SN and limbic system (LB) were related to cognition in developmental disorders. In summary, alcohol and tobacco use were associated with structural and functional abnormalities in DMN, SN and FLN and had significant associations with cognition and symptoms in psychotic, depressive and developmental disorders likely via different brain networks. Further understanding of these relationships may assist clinicians in the development of future approaches to improve symptoms and cognition among psychotic, depressive and developmental disorders.
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Affiliation(s)
- Ling Qiu
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Chuang Liang
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Peter Kochunov
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kent E Hutchison
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Jing Sui
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Rongtao Jiang
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Dongmei Zhi
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Victor M Vergara
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Xiao Yang
- Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Daoqiang Zhang
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Zening Fu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | - Juan R Bustillo
- Departments of Neurosciences and Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, USA.
| | - Shile Qi
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
- Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
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Guo Y, Yan J. Association between tobacco smoke exposure and depression: the NHANES 2005-2018 and Mendelian randomization study. Arch Public Health 2024; 82:100. [PMID: 38961510 PMCID: PMC11221044 DOI: 10.1186/s13690-024-01322-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 06/09/2024] [Indexed: 07/05/2024] Open
Abstract
OBJECTIVE The relationship between tobacco smoke exposure (TSE) and depression is controversial. This study combined observational research and Mendelian randomization (MR) to explore the relationship of depression with both smoking status and cotinine levels. METHOD We collected relevant data from the National Health and Nutrition Examination Survey (NHANES) database from 2005 to 2018, and used weighted multifactorial logistic regression modelling to assess the correlation between TSE and depression, and assessed the causal relationship of depression with both smoking status and cotinine levels by MR. RESULT Current smokers had the highest risk of depression (OR 1.94; P < 0.01); there was a positive trend for correlation between daily smoking and depression (OR 1.66; P for trend < 0.01). Serum ketamine levels above 3.00 ng/ml had a higher risk of depression (OR 2.13; P < 0.001). MR results showed that current smoking (OR = 4.66; P < 0.001) and previous smoking (OR 2.09; P < 0.01) were risk factors for the onset of depression, and that there was no causal association between cotinine levels and depression. CONCLUSION Smoking is significantly associated with depression and plays a potential causal role in the development of depression. Cotinine was significantly associated with depression, however MR results showed no causal relationship between cotinine and depression.
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Affiliation(s)
- Yikun Guo
- Department of Respiratory, Dongzhimen Hospital, Beijing University of Chinese Medicine, Dongcheng District, Beijing, 100700, China
- Beijing University of Chinese medicine, Chaoyang District, Beijing, 100029, China
| | - Jun Yan
- Department of Respiratory, Dongzhimen Hospital, Beijing University of Chinese Medicine, Dongcheng District, Beijing, 100700, China.
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Nigatu YT, Elton-Marshall T, Wickens CM, Hamilton HA. The Association of Frequency of Worry About Financial Debt With Substance Use Among Adults in Ontario, Canada. Subst Use Misuse 2024; 59:1190-1199. [PMID: 38514251 DOI: 10.1080/10826084.2024.2330902] [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: 03/23/2024]
Abstract
BACKGROUND Financial debt and associated stress might increase the risk of substance use problems or exacerbate existing ones. Little evidence is available about the degree of debt stress and its association with substance use. The objective of this study was to examine the associations of the frequency of worry about debt with heavy episodic drinking (HED), daily smoking, e-cigarette use, and cannabis use in the past 30 days. METHODS Data were utilized from the 2020/2022 Monitor study, a repeated cross-sectional survey of adults 18 years and older in Ontario, Canada. The surveys employed a web-based panel survey of 6038 adults and collected data on debt-related stress, HED, tobacco smoking, e-cigarettes, and cannabis use in the past 30 days. Odds ratios (OR) were estimated from logistic regression models accounting for sociodemographic factors. RESULTS Overall, 18.4% of respondents reported that they were worried about their debt most or all of the time. Accounting for household income, educational status, employment status, and other factors, the results revealed that there was a dose-response relationship between the frequency of worry about debt and substance use including daily smoking, e-cigarette use, and cannabis use in the past 30 days compared to those who were not worried at all about their debt. Sex differences were also found in the association between worry about debt and e-cigarette use. CONCLUSIONS The frequency of worry about debt might have an important role in substance use, which suggests that financial well-being is vital in substance use prevention and harm reduction.
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Affiliation(s)
- Yeshambel T Nigatu
- Centre for Addiction and Mental Health, Institute for Mental Health Policy Research, Toronto, Ontario, Canada
| | - Tara Elton-Marshall
- Centre for Addiction and Mental Health, Institute for Mental Health Policy Research, Toronto, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Christine M Wickens
- Centre for Addiction and Mental Health, Institute for Mental Health Policy Research, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Hayley A Hamilton
- Centre for Addiction and Mental Health, Institute for Mental Health Policy Research, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
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Wang H, Chen X, Lin F, Zheng J, Chen K, Wang X, Lin X, Chen X, Ye Q, Wang Y, Wu X, Cai G. Association between ethylene oxide levels and depressive symptoms: A cross-sectional study based on NHANES 2013-2018 database. J Affect Disord 2024; 348:135-142. [PMID: 38154580 DOI: 10.1016/j.jad.2023.12.050] [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] [Received: 07/27/2023] [Revised: 10/29/2023] [Accepted: 12/23/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND AND AIM Ethylene oxide (EO) is a commonly used compound with known health risks. However, the specific association between EO exposure and the development of depressive symptoms has not been well established. Therefore, this study aimed to examine the potential association between EO exposure, as indicated by hemoglobin adduct of ethylene oxide (HbEO) levels, and the occurrence of depressive symptoms. METHODS We employed logistic regression, restricted cubic spline, and subgroup analysis to investigate the association between EO exposure and the occurrence of depressive symptoms. Additionally, we conducted a mediating effect analysis to explore the potential factors influencing the association between EO exposure and depressive symptoms. RESULTS Elevated HbEO levels were associated with the development of depressive symptoms. After adjusting for potential confounders, the highest quartile of HbEO levels showed an odds ratio (OR) of 3.37 [95 % confidence interval (CI): 1.87-6.10, P = 0.002] compared with the lowest quartile. Additionally, a linear association was observed between HbEO levels and the risk of depressive symptoms. We also revealed that the levels of several inflammatory factors and triglycerides mediated the association between EO exposure and the occurrence of depressive symptoms. CONCLUSIONS Higher levels of EO exposure were related to an increased risk of developing depressive symptoms. The analysis also suggested that the inflammatory response might play a mediating role in the pathway from EO exposure to depressive symptoms.
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Affiliation(s)
- Huaicheng Wang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Xuanjie Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Fabin Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China; Department of Neurosurgery, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China
| | - Jiayi Zheng
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Ke Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Xuefei Wang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Xuan Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Xiaochun Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Qinyong Ye
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China
| | - Yingqing Wang
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China.
| | - Xilin Wu
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China.
| | - Guoen Cai
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou 350001, China; cFujian Key Laboratory of Molecular Neurology, Fujian Medical University, 88 Jiaotong Road, Fuzhou 350001, China; Fujian medical University, Fuzhou, China.
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Zhu N, Zhu J, Lin S, Yu H, Cao C. Correlation analysis between smoke exposure and serum neurofilament light chain in adults: a cross-sectional study. BMC Public Health 2024; 24:353. [PMID: 38308244 PMCID: PMC10835908 DOI: 10.1186/s12889-024-17811-8] [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: 11/15/2023] [Accepted: 01/18/2024] [Indexed: 02/04/2024] Open
Abstract
BACKGROUND Smoke exposure is a prevalent and well-documented risk factor for various diseases across different organ systems. Serum neurofilament light chain (sNfL) has emerged as a promising biomarker for a multitude of nervous system disorders. However, there is a notable paucity of research exploring the associations between smoke exposure and sNfL levels. METHODS We conducted a comprehensive analysis of the National Health and Nutrition Examination Survey (NHANES) cross-sectional data spanning the years 2013 to 2014. Serum cotinine levels were classified into the following three groups: < 0.05, 0.05-2.99, and ≥ 3 ng/ml. Multiple linear regression models were employed to assess the relationships between serum cotinine levels and sNfL levels. Additionally, we utilized restricted cubic spline analyses to elucidate the potential nonlinear relationship between serum cotinine and sNfL levels. RESULTS A total of 2053 participants were included in our present research. Among these individuals, the mean age was 47.04 ± 15.32 years, and males accounted for 48.2% of the total study population. After adjusting the full model, serum cotinine was positively correlated with sNfl in the second group (β = 0.08, 95%CI 0.01-0.15) and in the highest concentration of serum cotinine (β = 0.10, 95%CI 0.01-0.19) compared to the group with the lowest serum cotinine concentrations. Current smokers, in comparison to non-smokers, exhibited a trend toward elevated sNfL levels (β = 0.07, 95%CI 0.01-0.13). Furthermore, subgroup analyses revealed interactions between serum cotinine levels and different age groups (P for interaction = 0.001) and gender stratification (P for interaction = 0.015) on sNfL levels. CONCLUSION The study suggested that serum cotinine was significantly and positively associated with sNfl levels in adult participants. Furthermore, current smokers tend to exhibit elevated sNfL levels. This research sheds light on the potential implications of smoke exposure on neurological function impairment and underscores the importance of further exploration in this area.
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Affiliation(s)
- Ning Zhu
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, 59 Liuting Road, 315010, Ningbo, Zhejiang, China
| | - Jing Zhu
- Department of Cardiology, The First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei, China
| | - Shanhong Lin
- Department of Ultrasound, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Hang Yu
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, 59 Liuting Road, 315010, Ningbo, Zhejiang, China
| | - Chao Cao
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, 59 Liuting Road, 315010, Ningbo, Zhejiang, China.
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Yang R, Yang H, Sun J, Zhao M, Magnussen CG, Xi B. Association between secondhand smoke exposure across the life course and depressive symptoms among Chinese older adults. J Affect Disord 2024; 346:214-220. [PMID: 37952910 DOI: 10.1016/j.jad.2023.11.029] [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] [Received: 06/05/2023] [Revised: 10/24/2023] [Accepted: 11/09/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND There are limited data on the association between secondhand smoke (SHS) exposure across the life course and depressive symptoms among older adults. We aimed to investigate the association of childhood household SHS exposure, adulthood household SHS exposure, lifetime social SHS exposure, and their coexistence with depressive symptoms in older adults. METHODS Data were from the 2011-2012 and 2014 waves of the Chinese Longitudinal Healthy Longevity Survey. About 4000 participants (aged 60 years or older) were recruited in a randomly selected half of the counties and cities in China. Data on SHS exposure, past-year depressive symptoms, and covariates were collected using a questionnaire. The chi-square test (for categorical variables) and t-test (for continuous variables) were used to assess differences in the participant characteristics across groups of SHS exposures. We estimated the odds ratios (ORs) and 95 % confidence intervals (CIs) of depressive symptom according to different types of SHS exposure. RESULTS Childhood household SHS exposure (OR = 1.42, 95%CI = 1.22-1.66), adulthood household SHS exposure (OR = 1.41, 95%CI = 1.21-1.63) and lifetime social SHS exposure (OR = 1.35, 95%CI = 1.14-1.58) were associated with higher odds of depressive symptoms. Additionally, those with a higher SHS exposure score had higher odds of depressive symptoms (1 point: OR = 1.56, 95%CI = 1.22-2.00; 2 points: OR = 1.77, 95%CI = 1.39-2.25; 3 points: OR = 1.83, 95%CI = 1.45-2.31). The results were similar when stratified by lifetime nonsmoking, former smoking, and current smoking. LIMITATIONS Retrospective design may introduce recall bias. CONCLUSIONS SHS exposure was associated with higher odds of depressive symptoms in older adults, with the effect seeming to be addictive.
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Affiliation(s)
- Rong Yang
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Hui Yang
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jiahong Sun
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
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Gu H, Hao L, Li M, Li J. Joint effect of overweight/obesity and tobacco exposure on hypertension in children aged 6-17 years: a cross-sectional study. Front Pediatr 2023; 11:1188417. [PMID: 37456569 PMCID: PMC10347524 DOI: 10.3389/fped.2023.1188417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/14/2023] [Indexed: 07/18/2023] Open
Abstract
Aim To assess the individual effects of overweight/obesity and tobacco exposure, and their combined effects on hypertension in children. Methods This cross-sectional study included 6,339 children aged 6-17 years from National Health and Nutrition Examination Surveys 1999-2018. Participants' height, weight and blood pressure (BP) were measured by trained technicians. Hypertension was defined as: mean systolic BP (SBP) and/or diastolic BP (DBP) ≥ 90th percentile for sex, age, and height (for children aged 1-13 years), and SBP ≥120 mmHg and/or a DBP ≥80 mmHg (for adolescents aged 13-17 years); or self-reported having been diagnosed with hypertension or taking antihypertensive medication. Gender- and age-specific body mass index (BMI) cut-points were used to define overweight/obesity: "overweight" was defined as a BMI > 1 standard deviation (SD); "obesity" was defined as BMI > 2SD; and "thinness" was defined as BMI < -2SD. Tobacco exposure was defined as having serum cotinine levels >0.05 µg/L or reporting the presence of at least one smoker in the household. Weighted univariate and multivariate logistic regression models were used to assess overweight/obesity and tobacco exposure with the odds of hypertension, and the combined effects of overweight/ obesity and tobacco exposure on hypertension, followed by strata-specific analyses. Odds ratios (OR) with 95% confidence intervals (CI) were calculated. Results The prevalence of overweight/obesity and tobacco exposure was significantly higher in the hypertension group than in the non-hypertension group. Overweight/obesity (OR = 1.67, 95%CI: 1.26-2.21/ OR = 2.38, 95%CI: 1.67-3.39) and tobacco exposure (OR = 1.58, 95%CI: 1.16-2.14) were associated with a higher odd of hypertension in children, respectively. Additionally, we also observed the combined effect between overweight (OR = 3.05, 95%CI: 1.96-4.75)/obesity (OR = 3.68, 95%CI: 2.24-6.03) and tobacco exposure were related to hypertension odds in children, with a significant effect in different populations. Conclusion There may exist joint effect of overweight/obesity and tobacco exposure on the odds of hypertension in American children. These findings offer an insight that early weight control and reduction of tobacco exposure may be important to reduce odds of hypertension in children.
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Affiliation(s)
- Huan Gu
- Department of Integrative Cardiology, China-Japan Friendship Hospital, Beijing, China
| | - Long Hao
- Department of Pediatrics, Beijing Fangshan District Liangxiang Hospital, Beijing, China
| | - Mingxi Li
- Department of Pediatrics, Guang’ Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ji Li
- Department of Pediatrics, Guang’ Anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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9
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Liu X, Liu X, Wang Y, Zeng B, Zhu B, Dai F. Association between depression and oxidative balance score: National Health and Nutrition Examination Survey (NHANES) 2005-2018. J Affect Disord 2023:S0165-0327(23)00712-7. [PMID: 37244542 DOI: 10.1016/j.jad.2023.05.071] [Citation(s) in RCA: 38] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/07/2023] [Accepted: 05/21/2023] [Indexed: 05/29/2023]
Abstract
BACKGROUND Few studies have investigated the relationship between systemic oxidative stress status and depression. The oxidative balance score (OBS) was used to assess systemic oxidative stress status, with higher OBS scores implying exposure to more antioxidants. This study aimed to explore whether OBS is associated with depression. METHODS 18,761 subjects from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018 were selected. Depression was diagnosed by the Patient Health Questionnaire (PHQ-9, score ≥ 10). OBS was scored by 20 dietary and lifestyle factors. Weighted logistic regression and restricted cubic splines (RCS) were used to assess the association between OBS and depression. RESULTS The prevalence of depression was 8.42 %. There was a significant negative nonlinear relationship between OBS, dietary OBS, lifestyle OBS and depression (p for nonlinear < 0.05). Compared to the lowest quartile of OBS, the adjusted ORs for the highest quartile of OBS, dietary OBS, and lifestyle OBS and depression were 0.290 (95 % CI: 0.193-0.434), 0.500(95 % CI: 0.380-0.658), 0.403(95 % CI: 0.299-0.545) respectively, and all P for trend < 0.001. In stratified analyses, three OBS were negatively associated with the odds of depression across sex groups (all P for trend < 0.05), and the OR was smaller in the female group than in the male group. LIMITATIONS Cross-sectional data and absence of drug considerations. CONCLUSIONS OBS was strongly negatively associated with depression, especially in females. The findings underline the significance of adhering to an antioxidant diet and lifestyle, which helps prevent depression and appears to be of greater benefit to women.
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Affiliation(s)
- Xuna Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Xuyan Liu
- Department of Medicine, Northwest Minzu University, Lanzhou 730030, China
| | - Yiwen Wang
- Department of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Beibei Zeng
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Boxu Zhu
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Fei Dai
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
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10
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Fan Y, Zhao L, Deng Z, Li M, Huang Z, Zhu M, Xu W. Non-linear association between Mediterranean diet and depressive symptom in U.S. adults: A cross-sectional study. Front Psychiatry 2022; 13:936283. [PMID: 35911213 PMCID: PMC9334730 DOI: 10.3389/fpsyt.2022.936283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 06/27/2022] [Indexed: 11/23/2022] Open
Abstract
The Mediterranean diet (MED), a dietary pattern rich in fruits and vegetables, whole grains, legumes, nuts, fish, and olive oil, has anti-oxidative and anti-inflammatory effects. Although some data suggest that MED adherence is associated with decreased manifestation of depressive symptoms, it remains necessary to further analyze this apparent non-linear association as well as the influence of different factors on the relationship between MED and depression. Here, we investigated associations between the alternate MED (aMED) score and depressive symptom via multivariate logistic regression, weighted generalized additive (GAM) and two-step linear regression models, analyzing data from the 2005-2018 National Health and Nutrition Examination Survey (NHANES). The most important factor relevant to aMED score that contributed to the prevalence of depressive symptom was assessed using random forest. Furthermore, we examined whether the relationship between aMED score and depressive symptom differs by age, race, sex, socioeconomic variables, lifestyle- and health-related variables, and chronic medical conditions, via subgroup analyses. A total of 19,477 participants (20-80 years of age) were included in this cross-sectional study. In crude and adjusted (1-5) multivariate logistic regression models, increased aMED score was noted to associate with non-depressive status, as defined using the Patient Health Questionnaire-9 (P < 0.05). Data analyses via GAM and two-piecewise linear regression revealed a non-linear association between aMED and depressive symptom, which had an inflection point of 3. Random forest results revealed that vegetable score contributes greatest to the relationship between aMED and depressive symptom. Subgroup analyses revealed that aMED score is significantly negatively related with depressive symptom in most different populations (P < 0.05) with the exception of high annual income, diabetes, borderline blood glucose level and Parkinson's disease (PD) (P > 0.05). In conclusion, we observed a non-linear association between aMED score and depressive symptom. Further studies are needed to validate our results.
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Affiliation(s)
- Yaohua Fan
- Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Lijun Zhao
- Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Zhiyuan Deng
- Gaozhou Hospital of Traditional Chinese Medicine, Gaozhou, China
| | - Mengzhu Li
- Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Zifeng Huang
- Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Meiling Zhu
- Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Wenhua Xu
- Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Guangzhou University of Chinese Medicine, Shenzhen, China
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