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Deng X, Liu D, Li M, He J, Fu Y. Association between depression and stroke and the role of sociodemographic factors: A study among hypertensive populations. J Stroke Cerebrovasc Dis 2023; 32:107457. [PMID: 37931348 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107457] [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: 09/09/2023] [Revised: 10/13/2023] [Accepted: 10/27/2023] [Indexed: 11/08/2023] Open
Abstract
OBJECTIVES Studies have shown that depression increases the risk of stroke, and that this relationship can be modified by sex. However, few studies have explored this relationship in a hypertensive population, and an examination of sociodemographic factors may be useful in determining whether depression and stroke are related. MATERIALS AND METHODS We used data from the National Health and Nutrition Examination Survey conducted between 2005-2018. The relationship between depression and stroke was investigated using a multivariate logistic regression. Effect modification by sex was examined using an interaction analysis model. RESULTS Participants with mild or moderate depression had a 53 % (odds ratio, [OR] 1.53; 95 % confidence interval [CI], 1.15-2.04) higher risk of stroke than those without depression, with 1.76 times (95 % CI, 1.14-2.72) greater risk for major depression. Interaction analysis indicated that sex had no effect on this relationship (OR, 1.30; 95 % CI, 0.85-1.47, P=0.430). In comparison with Hispanics, non-Hispanic blacks and others/mixed-race individuals with depression had a greater risk of stroke (OR, 2.26; 95 % CI, 1.5-3.14; OR, 2.67, 95 % CI, 1.29-5.55). CONCLUSIONS Our study found that the degree of depression was positively correlated with stroke in a hypertensive population, and that this relationship was not affected by sex.
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Affiliation(s)
- Xiaoqi Deng
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, Chongqing 400010, China
| | - Dichuan Liu
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, Chongqing 400010, China.
| | - Miao Li
- Department of Nursing, Beijing Tiantan Hospital, Capital Medical University, 100070, China
| | - Jie He
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, Chongqing 400010, China
| | - Yufan Fu
- Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, Chongqing 400010, China
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Fan L, Chen Y, Zhu M, Mao Z, Li N. Correlation between childhood trauma experience and depressive symptoms among young adults: The potential mediating role of loneliness. CHILD ABUSE & NEGLECT 2023; 144:106358. [PMID: 37499308 DOI: 10.1016/j.chiabu.2023.106358] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/27/2023] [Accepted: 07/16/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND It is widely recognized that childhood trauma poses a significant risk of developing depressive symptoms. However, the underlying mediation mechanism between childhood trauma and depressive symptoms requires further exploration. OBJECTIVE This study focuses on exploring whether loneliness may act as a potential mediator between childhood trauma and depressive symptoms. PARTICIPANTS AND SETTING We analyzed a large sample of college students (N = 7293). Participants completed online questionnaires in the WeChat group. METHODS Childhood trauma, depressive symptoms, and loneliness were evaluated using the Childhood Trauma Questionnaire-Short Form (CTQ-SF), the Patient Health Questionnaire-9 (PHQ-9), and the University of California Los Angeles Loneliness Scale (UCLA-LS) respectively. The linear regression method was applied to explore the mediating role. RESULTS Gender, relationship with family, and left-behind experience are all substantial depressive symptoms risk factors. Childhood trauma was shown to be highly related to depressive symptoms, and this relationship was potentially mediated by loneliness. CONCLUSIONS Our research indicates that treating loneliness in those who have undergone childhood trauma may help prevent or treat depressive symptoms. Therefore, loneliness should be taken into consideration while treating and preventing depressive symptoms.
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Affiliation(s)
- Lurong Fan
- Business School, Sichuan University, Chengdu, Sichuan 610064, PR China.
| | - Yu Chen
- Business School, Sichuan University, Chengdu, Sichuan 610064, PR China.
| | - Mengyuan Zhu
- School of Economics and Management, Civil Aviation Flight University of China, PR China.
| | - Zhiqian Mao
- Business School, City University of Hong Kong, Hong Kong
| | - Na Li
- Mental Health Education Center, Chengdu Normal University, Chengdu 611130, PR China
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Cheung ECL, Leung MTY, Chen K, Fai Wan EY, Li X, Lai FTT, Wong CKH, Qin XS, Chan EW, Lau KK, Luo H, Lin CC, Wong ICK, Chui CSL. Risk of Adverse Events and Delirium After COVID-19 Vaccination in Patients Living With Dementia. J Am Med Dir Assoc 2023:S1525-8610(23)00380-8. [PMID: 37156470 PMCID: PMC10121138 DOI: 10.1016/j.jamda.2023.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 03/20/2023] [Accepted: 04/11/2023] [Indexed: 05/10/2023]
Abstract
OBJECTIVES The aim of this study was to compare incidences of adverse events of special interest (AESI) and delirium in 3 cohorts: after COVID-19 vaccination, prepandemic, and SARS-CoV-2 polymerase chain reaction (PCR) test positive. DESIGN This is a population-based cohort study using electronic medical records linked with vaccination records in Hong Kong. SETTING AND PARTICIPANTS A total of 17,449 older people with dementia received at least 1 dose of CoronaVac (n = 14,719) or BNT162b2 (n = 2730) between February 23, 2021, and March 31, 2022. Moreover, 43,396 prepandemic and 3592 SARS-CoV-2 test positive patients were also included in this study. METHODS The incidences of AESI and delirium up to 28 days after vaccination in the vaccinated dementia cohort were compared with the prepandemic and SARS-CoV-2 test positive dementia cohorts by calculating incidence rate ratios (IRRs). Patients who received multiple doses were followed up separately for each dose, up to the third dose. RESULTS We did not detect an increased risk of delirium and most AESI following vaccination compared to the prepandemic period and those tested positive for SARS-CoV-2. No AESI group nor delirium incidence exceeded 10 per 1000 person-days in vaccinated individuals. CONCLUSIONS AND IMPLICATIONS The findings provide evidence for the safe use of COVID-19 vaccines in older patients with dementia. In the short run, benefit appears to outweigh the harm due to vaccine; however, longer follow-up should be continued to identify remote adverse events.
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Affiliation(s)
- Edmund C L Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Miriam T Y Leung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Kailin Chen
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xue Li
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Francisco T T Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Carlos K H Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xiwen Simon Qin
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Esther W Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
| | - Kui Kai Lau
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Hao Luo
- Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China
| | - Chia-Chin Lin
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian C K Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China; Research Department of Practice and Policy, School of Pharmacy, University College London, United Kingdom; Expert Committee on Clinical Events Assessment Following COVID-19 Immunization, Department of Health, The Government of the Hong Kong Special Administrative Region, Hong Kong SAR, China.
| | - Celine S L Chui
- Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China; School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
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Yao H, Junna L, Hu Y, Sha X, Martikainen P. The relationship of income on stroke incidence in Finland and China. Eur J Public Health 2023:7136716. [PMID: 37087112 DOI: 10.1093/eurpub/ckad035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/24/2023] Open
Abstract
BACKGROUND Stroke incidence has continued to increase recently in most countries. The roles of individual-level income on the incidence of overall stroke and its subtypes are still unknown, especially in low- and middle-income countries and the cross-national evidence is also limited. We explored the association between individual-level income and stroke incidence in Finland and China. METHODS Changde Social Health Insurance Database (N=571 843) and Finnish population register (N=4 046 205) data were used to calculate standard stroke incidence rates, which were employed to assess the absolute incidence difference between income quintiles. Cox regression was used to compare income differences in first-ever stroke incidence. RESULTS The highest income quintile had lower overall and subtype stroke incidence when compared to lower-income quintiles. The relative difference was more evident in hemorrhagic stroke incidence. After adjusting for age and employment status, the disparity of stroke incidence between the lowest and highest income quintiles was high among both men and women and in Finland and China. The disparity was particularly notable among men: in Finland, the hazard ratio (HR) for hemorrhagic stroke was 0.633 [95% confidence interval (95% CI) 0.576-0.696] and HR 0.572 (95% CI 0.540-0.606) for ischemic stroke. The respective figures were HR 0.452 (95% CI 0.276-0.739) and HR 0.633 (95% CI 0.406-0.708) for China. CONCLUSIONS Individual-level income is related to overall and subtype stroke incidence. Future studies should explore the causal relationship between individual-level income and stroke incidence.
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Affiliation(s)
- Honghui Yao
- Department of Learning, Informatics, Management, and Ethics, Karolinska Institutet, Stockholm, Sweden
- Department of Infectious Diseases, ChangdeXiangya Hospital, Central South University, Hunan, China
| | - Liina Junna
- Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
- The Max Planck Institute for Demographic Research, Rostock, Germany
| | - Yaoyue Hu
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Xinping Sha
- Department of Infectious Diseases, ChangdeXiangya Hospital, Central South University, Hunan, China
| | - Pekka Martikainen
- Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
- The Max Planck Institute for Demographic Research, Rostock, Germany
- Department of Public Health Sciences, Stockholm University, Stockholm, Sweden
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5
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Sanchez MA, Fuchs B, Tubert-Bitter P, Mariet AS, Jollant F, Mayet A, Quantin C. Trends in psychotropic drug consumption among French military personnel during the COVID-19 epidemic. BMC Med 2022; 20:306. [PMID: 36100914 PMCID: PMC9470234 DOI: 10.1186/s12916-022-02497-9] [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: 03/02/2022] [Accepted: 07/25/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The coronavirus disease (COVID-19) pandemic may have had significant mental health consequences for military personnel, which is a population already exposed to psychological stress. To assess the potential impact of the COVID-19 pandemic, we analyzed the dispensing of three classes of psychotropic drugs (anxiolytics, hypnotics, and antidepressants) among French military personnel. METHODS A retrospective analysis was conducted using the individualized medico-administrative data of persons insured by the National Military Social Security Fund from the National Health Data System. All active French military personnel aged 18-64 who received outpatient care and to whom drugs were dispensed between January 1, 2019, and April 30, 2021, were included from the French national health database. Rate ratios of dispensed anxiolytics, hypnotics and antidepressants (based on drug reimbursement) were estimated from negative binomial regressions before and after the start of the COVID-19 pandemic. RESULTS Three hundred eighty-one thousand seven hundred eleven individuals were included. Overall, 45,148 military personnel were reimbursed for anxiolytics, 10,637 for hypnotics, and 4328 for antidepressants. Drugs were dispensed at a higher rate in 2020 and 2021 than in 2019. There was a notable peak at the beginning of the first lockdown followed by a decrease limited to the duration of the first lockdown. During the first lockdown only, there were temporary phenomena including a brief increase in drug dispensing during the first week followed by a decrease during the rest of lockdown, possibly corresponding to a stocking-up effect. For the study period overall, while there was a significant downward trend in psychotropic drug dispensing before the occurrence of COVID-19 (p < 0.001), the pandemic period was associated with an increase in dispensed anxiolytics (rate ratio, 1.03; 95% CI, 1.02-1.04, p < 0.05), hypnotics (rate ratio, 1.13; 95% CI, 1.11-1.16, p < 0.001) and antidepressants (rate ratio, 1.12; 95% CI, 1.10-1.13, p < 0.001) in the military population. CONCLUSIONS The COVID-19 pandemic has probably had a significant impact on the mental health of French military personnel, as suggested by the trends in dispensed psychotropic drugs. The implementation of mental health prevention measures should be investigated for this population.
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Affiliation(s)
- Marc-Antoine Sanchez
- Information Systems and Digital Department, French Military Health Service, Saint-Mandé, France.,Université Paris-Saclay, UVSQ, Université Paris-Sud, Inserm, High-Dimensional Biostatistics for Drug Safety and Genomics, CESP, Villejuif, France
| | - Basile Fuchs
- Centre Hospitalo-Universitaire Cochin, Paris, Assistance Publique Des Hôpitaux de Paris, Paris, France
| | - Pascale Tubert-Bitter
- Université Paris-Saclay, UVSQ, Université Paris-Sud, Inserm, High-Dimensional Biostatistics for Drug Safety and Genomics, CESP, Villejuif, France
| | - Anne-Sophie Mariet
- Service de Biostatistiques Et d'Information Médicale (DIM), CHU Dijon Bourgogne, INSERM, Université de Bourgogne, CIC 1432, Module Épidémiologie Clinique, 21000, Dijon, France
| | - Fabrice Jollant
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.,Université de Paris, Paris, France & GHU Paris Psychiatrie Et Neurosciences, Hôpital Sainte-Anne, CMME, Paris, France.,McGill Group for Suicide Studies, McGill University, Montréal, Canada.,Nîmes Academic Hospital (CHU), Nîmes, France.,Moods Team, INSERM UMR-1018, CESP, Le Kremlin-Bicêtre, France
| | - Aurélie Mayet
- French Armed Forces Center for Epidemiology and Public Health (CESPA), French Military Health Service, Marseille, France.,INSERM-IRD-Aix-Marseille université - SESSTIM, Marseille, France
| | - Catherine Quantin
- Université Paris-Saclay, UVSQ, Université Paris-Sud, Inserm, High-Dimensional Biostatistics for Drug Safety and Genomics, CESP, Villejuif, France. .,Service de Biostatistiques Et d'Information Médicale (DIM), CHU Dijon Bourgogne, INSERM, Université de Bourgogne, CIC 1432, Module Épidémiologie Clinique, 21000, Dijon, France.
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Farran D, Bean D, Wang T, Msosa Y, Casetta C, Dobson R, Teo JT, Scott P, Gaughran F. Anticoagulation for atrial fibrillation in people with serious mental illness in the general hospital setting. J Psychiatr Res 2022; 153:167-173. [PMID: 35816976 DOI: 10.1016/j.jpsychires.2022.06.044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 06/13/2022] [Accepted: 06/24/2022] [Indexed: 12/31/2022]
Abstract
OBJECTIVE People with serious mental illnesses (SMI) have an increased risk of stroke compared to the general population. This study aims to evaluate oral anticoagulation prescription trends in atrial fibrillation (AF) patients with and without a comorbid SMI. METHODS An open-source retrieval system for clinical data (CogStack) was used to identify a cohort of AF patients with SMI who ever had an inpatient admission to King's College Hospital from 2011 to 2020. A Natural Language Processing pipeline was used to calculate CHA2DS2-VASc and HASBLED risk scores from Electronic Health Records free text. Antithrombotic prescriptions of warfarin and Direct acting oral anti-coagulants (DOACs) (apixaban, rivaroxaban, dabigatran, edoxaban) were extracted from discharge summaries. RESULTS Among patients included in the study (n = 16 916), 2.7% had a recorded co-morbid SMI diagnosis. Compared to non-SMI patients, those with SMI had significantly higher CHA2DS2-VASc (mean (SD): 5.3 (1.96) vs 4.7 (2.08), p < 0.001) and HASBLED scores (mean (SD): 3.2 (1.27) vs 2.5 (1.29), p < 0.001). Among AF patients having a CHA2DS2-VASc ≥2, those with co-morbid SMI were less likely than non-SMI patients to be prescribed an OAC (44% vs 54%, p < 0.001). However, there was no evidence of a significant difference between the two groups since 2019. CONCLUSION Over recent years, DOAC prescription rates have increased among AF patients with SMI in acute hospitals. More research is needed to confirm whether the introduction of DOACs has reduced OAC treatment gaps in people with serious mental illness and to assess whether the use of DOACs has improved health outcomes in this population.
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Affiliation(s)
- Dina Farran
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Daniel Bean
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Health Data Research UK London, Institute of Health Informatics, University College London, London, UK
| | - Tao Wang
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Yamiko Msosa
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Cecilia Casetta
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Health Sciences, ASST Santi Paolo Carlo, Milano, Italy
| | - Richard Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Health Data Research UK London, Institute of Health Informatics, University College London, London, UK; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | - James T Teo
- Department of Neurosciences, King's College Hospital NHS Foundation Trust, Denmark Hill, London, UK
| | - Paul Scott
- Department of Cardiology, King's College Hospital, Denmark Hill, London, UK
| | - Fiona Gaughran
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
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7
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Yu L, Chen Y, Wang N, Xu K, Wu C, Liu T, Fu C. Association Between Depression and Risk of Incident Cardiovascular Diseases and Its Sex and Age Modifications: A Prospective Cohort Study in Southwest China. Front Public Health 2022; 10:765183. [PMID: 35433580 PMCID: PMC9005795 DOI: 10.3389/fpubh.2022.765183] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 03/08/2022] [Indexed: 01/12/2023] Open
Abstract
To examine possible associations between depression and cardiovascular disease (CVD) incidence and whether demographic factors modified those associations in the Chinese population. This prospective cohort study comprised 7,735 adults aged 18 years or older in Guizhou, China from 2010 to 2020. The Patient Health Questionnaire-9 (PHQ-9) was used to measure the prevalence of depression. Cox proportional hazard models were used to estimated hazard ratios (HRs) and 95% confidence intervals (95%CIs) of depression and incident CVD. We identified 215 CVD cases (including 28 acute myocardial infarction (AMI) and 197 stroke cases) during an average follow-up of 7.07 years. In the multivariable-adjusted model, baseline PHQ-9 score was associated with incident CVD, AMI, and stroke. The HR per 1-SD increase for PHQ-9 score was 1.14 (95%CI: 1.03, 1.26) for CVD, 1.26 (95%CI: 1.01, 1.57) for AMI, and 1.12 (95%CI: 1.01, 1.25) for stroke. Compared with participants without depression, those with any mild or more advanced depression had a higher risk of incident CVD (HR: 1.69, 95%CI: 1.08, 2.64) and AMI (HR: 3.36, 95%CI: 1.17, 10.56). Associations between depression with CVD and stroke were suggested to be even stronger among women and participants aged <65 years (P for interaction <0.05). The effect of depression on stroke tended to be preserved in non-smokers. Depression was associated with a higher risk of incident CVD, AMI, and stroke in adults of Southwest, China, particularly in women, participants aged <65 years, and non-smokers. These findings highlighted the importance and urgency of depression healthcare.
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Affiliation(s)
- Lisha Yu
- Guizhou Center for Disease Control and Prevention, Guiyang, China
| | - Yun Chen
- School of Public Health, Key Laboratory of Public Health Safety, National Health Commission Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Na Wang
- School of Public Health, Key Laboratory of Public Health Safety, National Health Commission Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Kelin Xu
- School of Public Health, Key Laboratory of Public Health Safety, National Health Commission Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Chenghan Wu
- Guizhou Center for Disease Control and Prevention, Guiyang, China
| | - Tao Liu
- Guizhou Center for Disease Control and Prevention, Guiyang, China
| | - Chaowei Fu
- School of Public Health, Key Laboratory of Public Health Safety, National Health Commission Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
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8
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Lai FTT, Huang L, Chui CSL, Wan EYF, Li X, Wong CKH, Chan EWW, Ma T, Lum DH, Leung JCN, Luo H, Chan EWY, Wong ICK. Multimorbidity and adverse events of special interest associated with Covid-19 vaccines in Hong Kong. Nat Commun 2022; 13:411. [PMID: 35058463 PMCID: PMC8776841 DOI: 10.1038/s41467-022-28068-3] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 01/06/2022] [Indexed: 02/06/2023] Open
Abstract
Prior research using electronic health records for Covid-19 vaccine safety monitoring typically focuses on specific disease groups and excludes individuals with multimorbidity, defined as ≥2 chronic conditions. We examine the potential additional risk of adverse events 28 days after the first dose of CoronaVac or Comirnaty imposed by multimorbidity. Using a territory-wide public healthcare database with population-based vaccination records in Hong Kong, we analyze a retrospective cohort of patients with chronic conditions. Thirty adverse events of special interest according to the World Health Organization are examined. In total, 883,416 patients are included and 2,807 (0.3%) develop adverse events. Results suggest vaccinated patients have lower risks of adverse events than unvaccinated individuals, multimorbidity is associated with increased risks regardless of vaccination, and the association of vaccination with adverse events is not modified by multimorbidity. To conclude, we find no evidence that multimorbidity imposes extra risks of adverse events following Covid-19 vaccination.
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Affiliation(s)
- Francisco Tsz Tsun Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Lei Huang
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Celine Sze Ling Chui
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Eric Yuk Fai Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Xue Li
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Carlos King Ho Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
- Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Edward Wai Wa Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Tiantian Ma
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Dawn Hei Lum
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Janice Ching Nam Leung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Hao Luo
- Department of Social Work and Social Administration, Faculty of Social Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Computer Science, Faculty of Engineering, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Esther Wai Yin Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China
| | - Ian Chi Kei Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administrative Region, China.
- Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.
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9
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Lee SY, Waring ME, Park CL, Blake EC. Do Depressive Symptoms Predict Blood Pressure Control in US Veterans? J Gen Intern Med 2022; 37:57-63. [PMID: 33772439 PMCID: PMC8738794 DOI: 10.1007/s11606-021-06709-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 01/15/2021] [Accepted: 03/09/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND High blood pressure is the most common chronic condition among US veterans. Blood pressure control is essential to preventing and managing cardiovascular diseases. While depressive symptoms are a known risk factor for uncontrolled blood pressure and veterans experience high rates of depressive symptoms, no research has examined the relationship between depressive symptoms and blood pressure control among US veterans. OBJECTIVE We examined whether moderately severe-to-severe depressive symptoms, compared to none-to-minimal, are associated with higher risk of uncontrolled blood pressure among US veterans. DESIGN We analyzed a population-based sample of veterans from the National Health and Nutrition Examination Survey (2013-2016). Logistic regression models were adjusted for marital status, age, and body mass index. All analyses were weighted; results are generalizable to US veterans. PARTICIPANTS A sample of 864 veterans was analyzed, representing approximately 18.8 million US veterans. MAIN MEASURES Depressive symptoms were assessed by the Patient Health Questionnaire-9. Uncontrolled blood pressure was defined as average systolic blood pressure ≥ 130 and/or diastolic blood pressure ≥ 80. KEY RESULTS For depressive symptoms, 78.2% (SE = 1.6) of US veterans had none-to-minimal, 18.2% (SE = 1.2) had mild-to-moderate, and 3.5% (SE = 0.8) had moderately severe-to-severe. Forty-three percent (SE = 3.0) of US veterans had uncontrolled blood pressure. Moderately severe-to-severe depressive symptoms, compared to none-to-minimal, were associated with lower risk for uncontrolled blood pressure (aOR = .28, 95% CI [.09, .85]). Mild-to-moderate depressive symptoms were not associated with blood pressure control (aOR = .98, 95% CI [.59, 1.65]). CONCLUSIONS US veterans with moderately severe-to-severe depressive symptoms were less likely to have uncontrolled blood pressure than veterans with none-to-minimal symptoms. Future research should examine factors unique to veterans that may explain findings opposite of the hypothesized relationship between depressive symptoms and blood pressure control.
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Affiliation(s)
- Sharon Y Lee
- Department of Psychological Sciences, University of Connecticut, Storrs, USA.
| | - Molly E Waring
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT, USA
| | - Crystal L Park
- Department of Psychological Sciences, University of Connecticut, Storrs, USA
| | - Erin C Blake
- Department of Psychological Sciences, University of Connecticut, Storrs, USA
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10
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Lai FTT, Beeler PE, Yip BHK, Cheetham M, Chau PYK, Chung RY, Wong ELY, Yeoh EK, Battegay E, Wong SYS. Comparing Multimorbidity Patterns Among Discharged Middle-Aged and Older Inpatients Between Hong Kong and Zurich: A Hierarchical Agglomerative Clustering Analysis of Routine Hospital Records. Front Med (Lausanne) 2021; 8:651925. [PMID: 34368178 PMCID: PMC8336865 DOI: 10.3389/fmed.2021.651925] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 06/25/2021] [Indexed: 11/16/2022] Open
Abstract
Background: Multimorbidity, defined as the co-occurrence of ≥2 chronic conditions, is clinically diverse. Such complexity hinders the development of integrated/collaborative care for multimorbid patients. In addition, the universality of multimorbidity patterns is unclear given scarce research comparing multimorbidity profiles across populations. This study aims to derive and compare multimorbidity profiles in Hong Kong (HK, PRC) and Zurich (ZH, Switzerland). Methods: Stratified by sites, hierarchical agglomerative clustering analysis (dissimilarity measured by Jaccard index) was conducted with the objective of grouping inpatients into clinically meaningful clusters based on age, sex, and 30 chronic conditions among 20,000 randomly selected discharged multimorbid inpatients (10,000 from each site) aged ≥ 45 years. The elbow point method based on average within-cluster dissimilarity, complemented with a qualitative clinical examination of disease prevalence, was used to determine the number of clusters. Results: Nine clusters were derived for each site. Both similarities and dissimilarities of multimorbidity patterns were observed. There was one stroke-oriented cluster (3.9% in HK; 6.5% in ZH) and one chronic kidney disease-oriented cluster (13.1% in HK; 11.5% ZH) in each site. Examples of site-specific multimorbidity patterns, on the other hand, included a myocardial infarction-oriented cluster in ZH (2.3%) and several clusters in HK with high prevalence of heart failure (>65%) and chronic pain (>20%). Conclusion: This is the first study using hierarchical agglomerative clustering analysis to profile multimorbid inpatients from two different populations to identify universalities and differences of multimorbidity patterns. Our findings may inform the coordination of integrated/collaborative healthcare services.
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Affiliation(s)
- Francisco T T Lai
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.,Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Patrick E Beeler
- Department of Internal Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Benjamin H K Yip
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Marcus Cheetham
- Department of Internal Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Patsy Y K Chau
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Roger Y Chung
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Eliza L Y Wong
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Eng-Kiong Yeoh
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Edouard Battegay
- Department of Internal Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Samuel Y S Wong
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
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11
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Lai FTT, Guthrie B, Mercer SW, Smith DJ, Yip BHK, Chung GKK, Lee KP, Chung RY, Chau PYK, Wong ELY, Yeoh EK, Wong SYS. Association between antipsychotic use and acute ischemic heart disease in women but not in men: a retrospective cohort study of over one million primary care patients. BMC Med 2020; 18:289. [PMID: 33131494 PMCID: PMC7604971 DOI: 10.1186/s12916-020-01765-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 08/25/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Research comparing sex differences in the effects of antipsychotic medications on acute ischemic heart disease (IHD) is limited and the findings ambiguous. This study aimed to investigate these associations within a primary care setting. METHODS Hong Kong public general outpatient electronic records of patients aged 45+ during 2007-2010 were extracted, with the last consultation date as the baseline for a 4-year follow-up period to observe acute IHD hospitalizations (2011-2014). Antipsychotic use was defined as any prescription over the previous 12 months from a list of 16 antipsychotics, while acute IHD was defined by ICD-9: 410.00-411.89. Both sex-specific and sex-combined (both sexes) mixed-effects Cox models (random intercept across 74 clinics) were implemented to examine the association and test the interaction between antipsychotics and sex. RESULTS Among 1,043,236 included patients, 17,780 (1.7%) were prescribed antipsychotics, and 8342 (0.8%) developed IHD. In sex-specific analyses, antipsychotic prescription was associated with a 32% increased hazard rate of acute IHD among women (95% CI 1.05-1.67) but not among men. A likelihood ratio test comparing sex-combined models with and without the interaction between antipsychotic use and sex suggested significant interaction (χ2 = 4.72, P = 0.030). The association between antipsychotic use and IHD among women attenuated and became non-significant when haloperidol was omitted from the operationalization of antipsychotic use (HR = 1.23, 95% CI 0.95-1.60). CONCLUSION Our results suggest that antipsychotic prescription is moderately associated with an increased risk of acute IHD among women in primary care and this relationship may be explained by specific antipsychotics. Further research should observe and capture the potential intermediary mechanisms and the dose-response relationship of this association to provide more rigorous evidence to establish causality and inform clinical practices.
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Affiliation(s)
- Francisco T T Lai
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, New Territories, China
| | - Bruce Guthrie
- Usher Institute, The University of Edinburgh, Scotland, UK
| | | | - Daniel J Smith
- Institute of Health & Wellbeing, The University of Glasgow, Scotland, UK
| | - Benjamin H K Yip
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, New Territories, China
| | - Gary K K Chung
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, New Territories, China
| | - Kam-Pui Lee
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, New Territories, China
| | - Roger Y Chung
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, New Territories, China
| | - Patsy Y K Chau
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, New Territories, China
| | - Eliza L Y Wong
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, New Territories, China
| | - Eng-Kiong Yeoh
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, New Territories, China
| | - Samuel Y S Wong
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, New Territories, China.
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