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Guo X, Lin L, Qin K, Li J, Chen W, Guo VY. Adverse childhood experiences and depressive symptoms among middle-aged or older adults in China and the mediating role of short sleep duration. J Affect Disord 2023; 340:711-718. [PMID: 37597778 DOI: 10.1016/j.jad.2023.08.082] [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: 03/22/2023] [Revised: 07/31/2023] [Accepted: 08/14/2023] [Indexed: 08/21/2023]
Abstract
BACKGROUND Limited research has simultaneously examined the link between adverse childhood experiences (ACEs), short sleep duration, and depressive symptoms among middle-aged or older Chinese adults. This study aims to investigate the association between ACEs and later-life depressive symptoms, and to examine the mediating role of short sleep duration (<6 h/night) in this association. METHODS Data of 11,452 participants aged ≥45 years were obtained from the China Health and Retirement Longitudinal Study. Information on ACEs, depressive symptoms, and sleep duration were reported via questionnaires. The mediating effect of short sleep duration in the association between ACEs and depressive symptoms was examined by Baron and Kenny's causal steps method and Karlson/Holm/Breen (KHB) method. RESULTS Compared to non-exposed group, exposure to ACEs was significantly associated with increased odds of depressive symptoms in a dose-response pattern. The odds ratio of depressive symptoms increased from 1.27 (95 % CI: 1.11-1.46) for one ACE to 3.38 (95 % CI: 2.92-3.90) for ≥4 ACEs. The KHB method identified significant mediating role of short sleep duration in the association between experiencing three or more ACEs and depressive symptoms, with the proportional mediation estimated at 8.96 % and 8.85 % for the groups with 3 ACEs and ≥4 ACEs, respectively. The results were consistent across genders and gender did not moderate these associations. LIMITATIONS The cross-sectional design limited the ability to make causal inference. CONCLUSIONS ACEs were positively associated with depressive symptoms, and short sleep duration partially mediated this association. Promoting optimal sleep duration among ACE-exposed individuals might improve their mental health.
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Affiliation(s)
- Xun Guo
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Kang Qin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jinghua Li
- Department of Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Weiqing Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Vivian Yawei Guo
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Zhang Y, Chen W, Cao B, Lin L, Li J, Guo VY. Associations of handgrip weakness and asymmetry with new-onset stroke in Chinese middle-aged and older adults: a cohort study. Front Public Health 2023; 11:1251262. [PMID: 37908684 PMCID: PMC10615130 DOI: 10.3389/fpubh.2023.1251262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 08/31/2023] [Indexed: 11/02/2023] Open
Abstract
Background Weak handgrip strength (HGS) has been linked to adverse health outcomes including stroke. However, the joint associations of HGS weakness and asymmetry between limbs with stroke incidence remain underexplored. Methods This cohort study analyzed data of participants aged ≥45 years from three waves (2011, 2013, and 2015) of the China Health and Retirement Longitudinal Study. Weak HGS was defined according to the recommendation of European Working Group on Sarcopenia in Older People. Asymmetric HGS was defined if the HGS ratio of both hands was over 1.1 or below 0.9. New-onset stroke was confirmed through self-report of physician's diagnosis. Results A total of 10,966 participants without stroke at baseline were included in the analysis. During the 4 years follow-up, there were 262 (2.39%) new-onset stroke cases. Compared to individuals with non-weak and symmetric HGS, those with HGS asymmetry alone and weakness alone were associated with hazards of 1.09 (95% confidence interval [CI]: 0.80-1.48) and 1.27 (95%CI: 0.86-1.88) for new-onset stroke, respectively, while co-occurrence of both HGS asymmetry and weakness was associated with 1.80 (95%CI: 1.24-2.60) greater hazard for new-onset stroke after controlling for confounders. Such associations were consistent in older adults aged ≥60 years, but not in those aged<60 years. Conclusion Individuals with both weak and asymmetric HGS tended to have greater risk of new-onset stroke, compared to those with normal HGS, or with either weak or asymmetric HGS alone. Our finding suggested that examining HGS asymmetry alongside weakness may help to improve the risk-stratification and target prevention of stroke, particularly in the older population.
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Affiliation(s)
- Yuying Zhang
- Department of Child Healthcare, Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Weiqing Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Bing Cao
- Department of Neurosurgery, Wu Tsai Neuroscience Institute, Stanford University School of Medicine, Stanford, CA, United States
| | - Li Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jinghua Li
- Department of Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Vivian Yawei Guo
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
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Huang Q, Yin L, Liu Z, Wei M, Feng J, Huang Q, Liu Y, Liu Z, Xia J. Association of novel lipid indicators with the risk of stroke among participants in Central China: a population-based prospective study. Front Endocrinol (Lausanne) 2023; 14:1266552. [PMID: 37850101 PMCID: PMC10577285 DOI: 10.3389/fendo.2023.1266552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 09/18/2023] [Indexed: 10/19/2023] Open
Abstract
Background Several easily and inexpensively measured indicators of visceral adiposity dysfunction are currently available, but it remains unclear whether they are correlated with stroke risk in the community-dwelling population. We aimed to examine the longitudinal association of the triglyceridemic-waist phenotypes, the triglyceride glucose (TyG) index, as well as TyG-related indicators with stroke risk. Methods In this study, we conducted a prospective cohort study in Hunan, a region located in Central China, where the prevalence of stroke is relatively high. We included a total of 20185 subjects aged ≥40 years between November 2017 and December 2018. Triglyceride glucose-body mass index (TyG-BMI) and triglyceride glucose-waist circumference (TyG-WC) were calculated as multiplying TyG index by BMI and WC, respectively. Triglyceride waist phenotypes were categorized into four phenotypes: HTGW (elevated triglyceride and enlarged WC), NTNW (normal triglyceride and normal WC); HTNW (high triglyceride and normal WC), and NTGW (normal triglyceride and enlarged WC). We constructed a multivariable Cox regression model to assess the association between these novel lipid indicators and the risk of stroke. Subgroup analysis was conducted to test the robustness of our research findings. ROC curve was used for assessing the predictive ability of different stroke risk indices. Results After 2 years of follow- up, 135 participants experienced new stroke events. After adjusting for potential confounders, we found that participants with HTGW had higher likelihood of stroke (HR: 1.96, 95% CI: 1.21 to 3.16). However, we did not find significant associations for HTNW (HR: 1.42, 95% CI: 0.91 to 2.21) and NTGW (HR: 1.09, 95% CI 0.67 to 1.78). when compared to participants in the first TyG quartile, those in the fourth TyG quartile were associated with a 2.06-fold (95% CI: 1.22, 3.50) risk of stroke. Each 1-SD increase in TyG, TyG-BMI, and TyG-WC was associated with a higher risk of stroke, with adjusted HRs of 1.34 (95% CI: 1.11 to 1.61), 1.35 (95% CI: 1.14 to 1.59), and 1.23 (95% CI: 1.04 to 1.46), respectively. In subgroup analyses, those positive relationships appeared to be stronger among male participants with lower levels of physical activity and smoking. Conclusion HTGW, along with higher levels of TyG and TyG-related indicators, were found to be associated with an elevated risk of stroke. HTGW and these novel lipid indicators might be reliable indicators to identify populations at elevated risk of stroke.
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Affiliation(s)
- Qin Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurology, Peking University People’s Hospital, Beijing, China
| | - Li Yin
- Departement of Chronic Disease, Hunan Provincial Center for Disease Control and Prevention, Changsha, China
| | - Zeyu Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Minping Wei
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Feng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qing Huang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yunhai Liu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zunjing Liu
- Department of Neurology, Peking University People’s Hospital, Beijing, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, China
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Lin L, Cao B, Chen W, Li J, Zhang Y, Guo VY. Association of childhood threat and deprivation with depressive symptoms and the moderating role of current economic status among middle-aged and older adults in China. Soc Psychiatry Psychiatr Epidemiol 2023; 58:1227-1236. [PMID: 36418644 DOI: 10.1007/s00127-022-02384-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 11/14/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE To investigate the independent impact of threat-related and deprivation-related adverse childhood experiences (ACEs) on depressive symptoms among middle-aged and older adults, and to evaluate the moderating role of current economic status in these associations. METHODS This cross-sectional study included 11,048 participants aged ≥ 45 years from the China Health and Retirement Longitudinal Study. We captured five threat-related ACEs and five deprivation-related ACEs by questionnaires. Depressive symptoms were assessed using the 10-item Centre for Epidemiological Studies Depression Scale. Current economic status was reflected by annual per capita household consumption expenditure. We performed logistic regression analyses to evaluate the independent association of childhood threat and deprivation with depressive symptoms, and conducted stratified analyses and tests for interaction to explore the moderation effect of current economic status in such associations. RESULTS Compared with the nonexposed group, the experience of both childhood threat and deprivation were independently associated with greater risks of depressive symptoms later in life (odds ratio [OR] 1.75, 95% CI 1.49-2.05 for ≥ 2 threat-related ACEs; OR 2.02, 95% CI 1.67-2.43 for ≥ 2 deprivation-related ACEs). High current economic status significantly ameliorated the impact of childhood deprivation, but not threat, on depressive symptoms (P value for interaction 0.038). CONCLUSIONS Both threat-related and deprivation-related ACEs were associated with the risk of depressive symptoms among middle-aged and older adults, while current economic status was a significant moderator in such risks only for childhood deprivation. The findings implied that prioritising targeted interventions for individuals with ACEs, especially for childhood deprivation victims who were economically disadvantaged in adulthood, may help mitigate depressive symptoms in later life.
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Affiliation(s)
- Li Lin
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Second Road, Guangzhou, 510080, Guangdong, China
| | - Bing Cao
- Department of Neurosurgery, Wu Tsai Neuroscience Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Weiqing Chen
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Second Road, Guangzhou, 510080, Guangdong, China
| | - Jinghua Li
- Department of Biostatistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Yuying Zhang
- Department of Child Healthcare, Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Vivian Yawei Guo
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Second Road, Guangzhou, 510080, Guangdong, China.
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Qin K, Bai S, Chen W, Li J, Guo VY. Association of comorbid depression and obesity with cardiometabolic multimorbidity among middle-aged and older Chinese adults: A cohort study. Arch Gerontol Geriatr 2023; 107:104912. [PMID: 36565606 DOI: 10.1016/j.archger.2022.104912] [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: 07/29/2022] [Revised: 11/24/2022] [Accepted: 12/18/2022] [Indexed: 12/23/2022]
Abstract
PURPOSE To evaluate the association of comorbid depression and obesity with the risk of incident cardiometabolic multimorbidity among middle-aged and older Chinese adults. METHODS This cohort study extracted data from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). Depression was confirmed by the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) with a cut-off score ≥10. Obesity was defined as a body mass index ≥28 kg/m2. Participants were categorized into four groups based on depression and obesity status at baseline, i.e., with neither condition, depression only, obesity only, and with both conditions. Cardiometabolic multimorbidity was defined as the coexistence of two or more of heart diseases, stroke, and diabetes mellitus. Logistic regression models were established to estimate the associations. RESULTS A total of 9,308 participants without cardiometabolic multimorbidity at baseline were included (mean [SD] age, 58.8 [9.0] years; 4,449 [47.8%] were males). During four-year of follow-up, 349 (3.8%) participants developed cardiometabolic multimorbidity. Compared to participants without depression or obesity, comorbid depression and obesity was associated with greater risk of cardiometabolic multimorbidity (adjusted OR: 4.79, 95% CI: 3.09-7.43) than that in participants with depression alone (adjusted OR: 1.84, 95% CI: 1.37-2.46) or obesity alone (adjusted OR: 2.26, 95% CI: 1.48-3.45). The findings were consistent in different gender and age groups. CONCLUSIONS Comorbid depression and obesity was associated with excessive risk of cardiometabolic multimorbidity. Intervention targeting at individuals with both depression and obesity might have substantial benefit in minimizing the risk of cardiometabolic multimorbidity.
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Affiliation(s)
- Kang Qin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Shigen Bai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Weiqing Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Jinghua Li
- Department of Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Vivian Yawei Guo
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China.
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Deng H, Hu P, Li H, Zhou H, Wu X, Yuan M, Duan X, Lao M, Wu C, Zheng M, Lao XQ, Zhao W, Liu X. Novel lipid indicators and the risk of type 2 diabetes mellitus among Chinese hypertensive patients: findings from the Guangzhou Heart Study. Cardiovasc Diabetol 2022; 21:212. [PMID: 36243748 PMCID: PMC9571423 DOI: 10.1186/s12933-022-01660-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/03/2022] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Data are limited on whether several easily measured indices are independent predictors of type 2 diabetes mellitus (T2DM) in hypertensive patients. This study aimed to assess the association of hypertriglyceridemic-waist phenotype, triglyceride glucose (TyG) index, lipid accumulation product (LAP), and visceral adiposity index (VAI) with T2DM risk in hypertensive patients. METHODS This cross-sectional study included 5321 hypertensive patients from the baseline survey of the Guangzhou Heart Study. Face-to-face questionnaire survey, physical examination, and fasting blood sample collection were completed for all subjects. Odds ratio (OR) with 95% confidence interval (95% CI) were calculated by using the logistic regression model. The potential nonlinear relationship was examined using restricted cubic spline regression. RESULTS The prevalence of T2DM was 19.98% among hypertensive patients. After adjusting for confounders, participants with elevated triglyceride levels and enlarged waist circumference (HTGW) were associated with a 2.57-fold risk of T2DM (OR 2.57, 95% CI 2.05, 3.23). When comparing with subjects within the lowest quartile of the indices, those in the highest quartile of TyG, LAP, and VAI were associated with 5.35-fold (95% CI 4.33, 6.64), 2.65-fold (95% CI 2.11, 3.34), and 2.17-fold (95% CI 1.77, 2.67) risk of T2DM after adjusting for confounders. Every 1-unit increment of TyG, LAP, and VAI was associated with 81%, 38%, and 31% increased risk of T2DM, respectively. The nonlinear association was observed for TyG, LAP, and VAI (all P Non-linear < 0.001). CONCLUSIONS The results found that among hypertensive patients, HTGW and a higher level of TyG, LAP, and VAI were associated with an elevated risk of T2DM. The findings suggested that HTGW, TyG, LAP, and VAI may serve as simple and effective tools for T2DM risk assessment in the prevention and management of main chronic diseases.
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Affiliation(s)
- Hai Deng
- grid.413405.70000 0004 1808 0686Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Science, Guangzhou, 510080 China
| | - Peng Hu
- grid.411847.f0000 0004 1804 4300School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310 China ,grid.12981.330000 0001 2360 039XDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080 China
| | - Huoxing Li
- grid.284723.80000 0000 8877 7471The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515 China
| | - Huanning Zhou
- Guangzhou Yuexiu District Center for Disease Control and Prevention, Guangzhou, China
| | - Xiuyi Wu
- Nancun Community Health Service Center, Guangzhou, 511442 China
| | - Maohua Yuan
- Dadong Street Community Health Service Center, Guangzhou, 510080 China
| | - Xueru Duan
- grid.12981.330000 0001 2360 039XDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080 China
| | - Miaochao Lao
- Department of Sleep Center, Department of Geriatric Respiratory, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Guangzhou, 510080 China
| | - Chuchu Wu
- grid.411847.f0000 0004 1804 4300School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310 China
| | - Murui Zheng
- grid.508371.80000 0004 1774 3337Department of Community Health, Guangzhou Center for Disease Control and Prevention, No. 1 Qide Road, Baiyun District, Guangzhou, 510440 China
| | - Xiang Qian Lao
- grid.10784.3a0000 0004 1937 0482JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, 999077 SAR China
| | - Wenjing Zhao
- grid.263817.90000 0004 1773 1790School of Public Health and Emergency Management, Southern University of Science and Technology, No. 1088 Xueyuan Avenue, Shenzhen, 518055 China
| | - Xudong Liu
- grid.411847.f0000 0004 1804 4300School of Public Health, Guangdong Pharmaceutical University, No. 283 Jianghai Avenue, Haizhu District, Guangzhou, 510310 China
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Reis da Silva DA, de Almeida LS, Correa LL, Pimentel RFW, Gomes AMT, Travassos AG, Viana AM, Cerqueira MMBDF, de Souza MC, de Sousa AR, Barbosa PJB, Coelho JMF, Magalhães LBNC, D’Oliveira Júnior A, Cavalcante Neto JL, Santos CS, França LCM, Brandão JDL, dos Santos LFDM, Gomes HF, Peres EM, Rossi TRA, Damasceno KSM, das Mercês MC, Fernandes SL, Soriano EDA, Maduro IPDNN, Brandão TS, Menezes AC, Santana AIC, das Merces MC. Prevalence and Factors Associated with Metabolic Syndrome in Patients at a Psychosocial Care Center: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10203. [PMID: 36011835 PMCID: PMC9407874 DOI: 10.3390/ijerph191610203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Metabolic syndrome (MS) is associated with greater risk of morbimortality and it has high prevalence in people with mental illness. OBJECTIVE Estimate the prevalence of Metabolic Syndrome (MS) and its associated factors in the patients of a Psychosocial Care Center (CAPS in Brazilian Portuguese) in the city of Salvador, state of Bahia, Brazil. METHOD Cross-sectional study set at CAPS in the city of Salvador-Bahia between August 2019 and February 2020. MS was evaluated according to the National Cholesterol Education Program's Adult Treatment Panel III. In addition to descriptive statistics, gross and adjusted prevalence ratios were described. RESULTS MS was found in 100 (35.2%) individuals, 116 (40.9%) were obese and 165 (58.1%) had increased waist circumference. Polypharmacy was identified in 63 (22.3%) patients and 243 (85.9%) used antipsychotics. Under gross evaluation, women (PR = 1.88; 95%CI: 1.35-2.63) and those who used antidepressants (PR = 1.41; 95%CI: 1.05-1.88) showed an association with MS. After logistic regression, depression (PR = 1.86; 95%CI: 1.38-2.51), acanthosis (PR = 1.50; 95%CI: 1.18-1.90), use of antipsychotics (PR = 1.88; 95%CI: 1.13-2.75), and hypertriglyceridemic waist (PR = 3.33; 95%CI: 2.48-4.46) were associated with MS. CONCLUSION The prevalence of MS signals multimorbidity among individuals with mental disorders and suggests a need for clinical screening.
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Affiliation(s)
| | - Ludmila Santana de Almeida
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador 41150-000, Bahia, Brazil
| | - Livia Lugarinho Correa
- Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (IEDE), Rio de Janeiro 22451-000, Rio de Janeiro, Brazil
| | - Rodrigo Fernandes Weyll Pimentel
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador 41150-000, Bahia, Brazil
- Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal da Bahia (UFBA), Salvador 40026-010, Bahia, Brazil
- Hospital Universitário Professor Edgard Santos (HUPES/UFBA), Universidade Federal da Bahia, Salvador 40150-000, Bahia, Brazil
- Centro Universitário UnidomPedro, Salvador 40010-020, Bahia, Brazil
| | - Antonio Marcos Tosoli Gomes
- Faculdade de Enfermagem, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro 20551-030, Rio de Janeiro, Brazil
| | - Ana Gabriela Travassos
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador 41150-000, Bahia, Brazil
- Centro Especializado em Diagnóstico, Assistência e Pesquisa (CEDAP), Secretaria de Saúde do Estado da Bahia, Salvador 40100-160, Bahia, Brazil
| | - Adriana Mattos Viana
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador 41150-000, Bahia, Brazil
| | - Monique Magnavita Borba da Fonseca Cerqueira
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador 41150-000, Bahia, Brazil
- Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal da Bahia (UFBA), Salvador 40026-010, Bahia, Brazil
| | - Marcio Costa de Souza
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador 41150-000, Bahia, Brazil
| | - Anderson Reis de Sousa
- Escola de Enfermagem, Universidade Federal da Bahia (UFBA), Salvador 40110-060, Bahia, Brazil
| | - Paulo José Bastos Barbosa
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador 41150-000, Bahia, Brazil
| | - Julita Maria Freitas Coelho
- Centro Universitário UnidomPedro, Salvador 40010-020, Bahia, Brazil
- Instituto Federal da Bahia (IFBA), Simões Filho 43700-000, Bahia, Brazil
| | | | - Argemiro D’Oliveira Júnior
- Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal da Bahia (UFBA), Salvador 40026-010, Bahia, Brazil
| | | | | | - Luiz Carlos Moraes França
- Faculdade de Enfermagem, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro 20551-030, Rio de Janeiro, Brazil
| | - Juliana de Lima Brandão
- Faculdade de Enfermagem, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro 20551-030, Rio de Janeiro, Brazil
| | | | - Helena Ferraz Gomes
- Faculdade de Enfermagem, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro 20551-030, Rio de Janeiro, Brazil
| | - Ellen Marcia Peres
- Faculdade de Enfermagem, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro 20551-030, Rio de Janeiro, Brazil
| | - Thais Regis Aranha Rossi
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador 41150-000, Bahia, Brazil
| | - Kairo Silvestre Meneses Damasceno
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador 41150-000, Bahia, Brazil
- Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal da Bahia (UFBA), Salvador 40026-010, Bahia, Brazil
| | | | | | | | | | - Tatiana Santos Brandão
- Hospital Universitário Professor Edgard Santos (HUPES/UFBA), Universidade Federal da Bahia, Salvador 40150-000, Bahia, Brazil
| | - Amanda Cardoso Menezes
- Centro Universitário UnidomPedro, Salvador 40010-020, Bahia, Brazil
- Hospital Ana Nery (HAN), Salvador 40301-155, Bahia, Brazil
| | - Amália Ivine Costa Santana
- Hospital Universitário Professor Edgard Santos (HUPES/UFBA), Universidade Federal da Bahia, Salvador 40150-000, Bahia, Brazil
| | - Magno Conceição das Merces
- Departamento de Ciências da Vida, Universidade do Estado da Bahia (UNEB), Salvador 41150-000, Bahia, Brazil
- Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal da Bahia (UFBA), Salvador 40026-010, Bahia, Brazil
- Centro Universitário UnidomPedro, Salvador 40010-020, Bahia, Brazil
- Faculdade de Tecnologia e Ciências (UNIFTC), Salvador 41741-590, Bahia, Brazil
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Zheng X, Ren X, Jiang M, Han L. Association between hypertriglyceridemic-waist phenotype and cardiovascular disease: A cohort study and meta-analysis. Front Cardiovasc Med 2022; 9:940168. [PMID: 35990944 PMCID: PMC9386422 DOI: 10.3389/fcvm.2022.940168] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe association between hypertriglyceridemic-waist (HTGW) phenotype and cardiovascular disease (CVD) remains inconsistent and debatable. We aimed to prospectively investigate the relationship between HTGW phenotype and CVD.Methods and resultsWe included 8,216 participants from the China Health and Retirement Longitudinal Study. Participants were categorized into four subgroups: NTNW: normal triglyceride levels and normal waist circumference; HTNW: high triglyceride levels and normal waist circumference; NTGW: normal triglyceride levels with enlarged waist circumference; HTGW: high triglyceride levels and enlarged waist circumference. A Cox proportional hazards model was applied to determine the association between HTGW phenotype and CVD. A meta-analysis was conducted to incorporate the results of the current study and the previous-related studies on the association of HTGW phenotype and CVD. In the present cohort study, compared to the NTNW phenotype, those with NTGW (Hazard ratios (HRs) 1.34, 95% confidence intervals (CIs) 1.16–1.55) and HTGW (HRs 1.37, 95% CIs 1.16–1.62) phenotype were significantly associated with CVD risk. The meta-analysis further confirmed the significant association between HTGW phenotype and CVD [the pooled relative risk for HTGW vs. NTNW was 1.39 (1.29–1.49)].ConclusionThe HTGW phenotype was associated with the increased risk of CVD, independently of established risk factors. A simple assessment of HTGW phenotypes might help to identify individuals with a high risk of developing CVD.
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Chen D, Sun H, Lu C, Chen W, Guo VY. The association between hypertriglyceridemic-waist phenotype and chronic kidney disease: a cohort study and meta-analysis. Sci Rep 2022; 12:1935. [PMID: 35121773 PMCID: PMC8817025 DOI: 10.1038/s41598-022-05806-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 12/20/2021] [Indexed: 12/20/2022] Open
Abstract
Evidence on the association between hypertriglyceridemic-waist phenotype (HTGW) and chronic kidney disease (CKD) is limited and inconsistent. We aimed to explore such association among 7406 Chinese aged ≥ 45 years in a cohort setting, followed by a meta-analysis. Participants were categorized into four phenotypes: NTNW (normal triglycerides and normal waist circumference), NTGW (isolated enlarged waist circumference), HTNW (isolated high triglycerides), and HTGW (high triglycerides and enlarged waist circumference). We used multivariate logistic regression to determine the association between different phenotypes and risk of CKD in the cohort study. For meta-analysis, we searched relevant studies from Embase, Medline, PubMed, and Web of Science from dataset inception up to May 1, 2021. A random-effect model was used to estimate the pooled effect and I2 statistic was applied to evaluate heterogeneity. In the cohort study, compared to the NTNW phenotype, HTGW (OR 1.82, 95% CI 1.32 to 2.51, p < 0.01) and NTGW (OR 1.48, 95% CI 1.13 to 1.94, p = 0.004) were significantly associated with CKD risk after 4 years follow-up, but not for the HTNW phenotype. The meta-analysis also showed a positive association between HTGW phenotype and CKD risk (pooled OR 1.53, 95% CI 1.31 to 1.79, I2 = 62.4%). Assessment of triglyceridemic-waist phenotypes might help to identify individuals with high-risk of developing CKD.
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Affiliation(s)
- Dezhong Chen
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Second Road, Guangzhou, 510080, Guangdong, China
| | - Huimin Sun
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Second Road, Guangzhou, 510080, Guangdong, China
| | - Ciyong Lu
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Second Road, Guangzhou, 510080, Guangdong, China
| | - Weiqing Chen
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Second Road, Guangzhou, 510080, Guangdong, China
| | - Vivian Yawei Guo
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Second Road, Guangzhou, 510080, Guangdong, China.
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