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Hajiesmaeili Y, Tamhankar P, Stranges S, Barra L. Factors associated with incident cardiovascular disease in patients with rheumatoid arthritis: A scoping review. Autoimmun Rev 2024; 23:103539. [PMID: 38582291 DOI: 10.1016/j.autrev.2024.103539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 04/02/2024] [Accepted: 04/02/2024] [Indexed: 04/08/2024]
Abstract
INTRODUCTION Rheumatoid arthritis (RA) is the most common form of autoimmune inflammatory arthritis and is associated with various comorbidities including cardiovascular disease (CVD). This scoping review summarizes the current evidence on longitudinal cohort studies assessing potential factors associated with the incidence of cardiovascular events among patients with RA. METHODS Scopus, PubMed, Ovid MEDLINE and Cochrane databases were used to identify longitudinal cohort studies investigating the incidence of CVD among RA patients. Using predetermined inclusion and exclusion criteria, two reviewers screened and extracted the relevant studies independently to map the existing literature on this topic. The extracted data included study characteristics, demographics, comorbidities, behavioural and RA-related factors. RESULTS Thirty-three research papers were included with a mean follow-up duration of 7.8 years. The sample size of the studies ranged from 182 to 4,311,022 subjects, the mean age from 46.1 to 72.3 years, and on average, 34.6% of the participants were male. The following factors were reported to be associated with a higher incidence of CVD in RA patients: older age, male sex, co-morbid hypertension, diabetes, and/or dyslipidemia, the presence of rheumatoid factor (RF) and/or acute phase reactants. Among RA treatments, glucocorticoids were shown to increase CVD incidence while DMARDs, especially methotrexate, were associated with a lower incidence of CVD. CONCLUSION This review offers a comprehensive summary of the current literature reporting on risk factors for CVD incidence among RA patients. Future research should focus on the less studied factors, including socioeconomic status, physical inactivity, alcohol consumption, sleep habits and dietary patterns as well as some RA-related factors such as anti-citrullinated protein antibodies and functional impairment.
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Affiliation(s)
- Yasaman Hajiesmaeili
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
| | - Preeti Tamhankar
- Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
| | - Saverio Stranges
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; The Africa Institute, Western University, London, ON, Canada; Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy; Lawson Health Research Institute, London, ON, Canada; Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
| | - Lillian Barra
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Department of Medicine, Division of Rheumatology, Western University, London, ON, Canada; Lawson Health Research Institute, London, ON, Canada.
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Fu Y, Yu G, Maulana N, Thomson K. Interventions to tackle health inequalities in cardiovascular risks for socioeconomically disadvantaged populations: a rapid review. Br Med Bull 2023; 148:22-41. [PMID: 37724711 PMCID: PMC10724464 DOI: 10.1093/bmb/ldad025] [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] [Accepted: 08/29/2023] [Indexed: 09/21/2023]
Abstract
INTRODUCTION Cardiovascular disease (CVD) has shown significant health inequalities for people with low socioeconomic status associated with more risk factors. This review was to synthesize interventions that targeted CVD risks and outcomes among socioeconomically disadvantaged populations and to understand the impact associated with these interventions. SOURCES OF DATA Cochrane CENTRAL, MEDLINE, Embase, PsycINFO and CINAHL were searched for records published in the last decade using a systematic search strategy, complemented by screening the reference lists and citation indexes. Nineteen studies were included and a narrative synthesis with the effect direction plot was undertaken in which studies, interventions, participants and outcomes were examined according to the intervention type focusing on behaviours, lifestyle, education, medication and monitoring. AREAS OF AGREEMENT No universal definition of disadvantaged socioeconomic status was used with common factors relating to racial/ethnic minorities, low income and low or no health insurance. Mixed effects of interventions were reported on clinical outcomes including weight, body mass index, blood pressure, glycated haemoglobin and cholesterol. AREAS OF CONTROVERSY Inconsistent effect was reported due to a large variety of settings, participants and intervention components although they are considered necessary to address the complex health needs of socioeconomically disadvantaged populations. GROWING POINTS There is inadequate evidence to determine whether any of the intervention types are effective in optimising lipids management for socioeconomically disadvantaged populations. AREAS TIMELY FOR DEVELOPING RESEARCH Research is needed with mixed evidence using real world evaluation and lived experience combined with health economic evaluation, on both mental and physical health outcomes.
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Affiliation(s)
- Yu Fu
- Department of Primary Care & Mental Health, Institute of Population Health, University of Liverpool, 1-3 Brownlow Street, Liverpool, L69 3GL, UK
| | - Ge Yu
- King’s Health Economics, Health Services and Population Research, Department of Psychiatry, Psychology & Neuroscience, King’s College London, David Goldberg Centre 18 De Crespigny Park, London, SE5 8AF, UK
| | - Naswa Maulana
- Population Health Sciences Institute, Faculty of Medical Sciences Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne NE2 4AX, UK
| | - Katie Thomson
- Population Health Sciences Institute, Faculty of Medical Sciences Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne NE2 4AX, UK
- National Institute for Health Research Applied Research Collaboration, North East and North Cumbria, Cumbria, Northumberland, Tyne & Wear NHS Foundation Trust St Nicholas Hospital Gosforth, Newcastle Upon Tyne NE3 3XT, UK
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Cerci RJ, Fernandes-Silva MM, Vitola JV, Cerci JJ, Pereira Neto CC, Masukawa M, Gracia APW, Silvello LL, Prado P, Guedes M, Hino AAF, Baena CP. Association of Income Level and Ischemic Heart Disease: Potential Role of Walkability. Arq Bras Cardiol 2023; 120:e20220844. [PMID: 38055417 DOI: 10.36660/abc.20220844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 08/16/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Association of Income Level and Ischemic Heart Disease: Potential Role of Walkability Association of ischemic heart disease (adjusted for traditional risk factors and socioeconomics variables) and income level (A), and walkability z-score (B), and association of walkability z-score and income level (C). BACKGROUND Socioeconomic status has been linked to ischemic heart disease (IHD). High-income neighborhoods may expose individuals to a walking-promoting built environment for daily activities (walkability). Data from the association between income and IHD is lacking in middle-income countries. It is also uncertain whether walkability mediates this association. OBJECTIVES To investigate whether income is associated with IHD in a middle-income country and whether neighborhood walkability mediates the income-IHD association. METHODS This cross-sectional study evaluated 44,589 patients referred for myocardial perfusion imaging (SPECT-MPI). Income and walkability were derived from participants' residential census tract. Walkability quantitative score combined 4 variables: street connectivity, residential density, commercial density, and mixed land use. IHD was defined by abnormal myocardial perfusion during a SPECT-MPI study. We used adjusted mixed effects models to evaluate the association between income level and IHD, and we performed a mediation analysis to measure the percentage of the income-IHD association mediated by walkability. We considered p values below 0.01 as statistically significant. RESULTS From 26,415 participants, those living in the lowest-income tertile census tract were more physically inactive (79.1% versus 75.8% versus 72.7%) when compared to higher-income tertile census tracts (p < 0.001). Income was associated with IHD (odds ratio: 0.91 [95% confidence interval: 0.87 to 0.96] for each 1,000.00 international dollars increase in income) for both men and women equally (p for interaction = 0.47). Census tracts with a higher income were associated with better walkability (p < 0.001); however, walkability did not mediate the income-IHD association (percent mediated = -0.3%). CONCLUSIONS Income was independently associated with higher prevalence of IHD in a middle-income country irrespective of gender. Although walkability was associated with census tract income, it did not mediate the income-IHD association.
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Affiliation(s)
- Rodrigo Julio Cerci
- Quanta Diagnóstico por Imagem - Cardiovascular CT, Curitiba, PR - Brasil
- Pontifícia Universidade Católica do Paraná, Curitiba, PR - Brasil
| | - Miguel Morita Fernandes-Silva
- Quanta Diagnóstico por Imagem - Cardiovascular CT, Curitiba, PR - Brasil
- Pontifícia Universidade Católica do Paraná, Curitiba, PR - Brasil
| | | | | | | | - Margaret Masukawa
- Quanta Diagnóstico por Imagem - Cardiovascular CT, Curitiba, PR - Brasil
| | | | | | - Pedro Prado
- Quanta Diagnóstico por Imagem - Cardiovascular CT, Curitiba, PR - Brasil
| | - Murilo Guedes
- Pontifícia Universidade Católica do Paraná, Curitiba, PR - Brasil
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Nguyen TA, Mai TD, Vu LD, Dao CX, Ngo HM, Hoang HB, Tran TA, Pham TQ, Pham DT, Nguyen MH, Nguyen LQ, Dao PV, Nguyen DN, Vuong HTT, Vu HD, Nguyen DD, Vu TD, Nguyen DT, Do ALN, Pham QT, Khuat NH, Duong NV, Ngo CC, Do SN, Nguyen HT, Nguyen CV, Nguyen AD, Luong CQ. Factors related to intracerebral haematoma in patients with aneurysmal subarachnoid haemorrhage in Vietnam: a multicentre prospective cohort study. BMJ Open 2023; 13:e066186. [PMID: 37085308 PMCID: PMC10124281 DOI: 10.1136/bmjopen-2022-066186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/23/2023] Open
Abstract
OBJECTIVES To investigate the impact of intracerebral haematoma (ICH) on the outcomes and the factors related to an ICH in patients with aneurysmal subarachnoid haemorrhage (aSAH) in a low- and middle-income country. DESIGN A multicentre prospective cohort study. SETTING Three central hospitals in Hanoi, Vietnam. PARTICIPANTS This study included all patients (≥18 years) presenting with aSAH to the three central hospitals within 4 days of ictus, from August 2019 to June 2021, and excluded patients for whom the admission Glasgow Coma Scale was unable to be scored or patients who became lost at 90 days of follow-up during the study. OUTCOME MEASURES The primary outcome was ICH after aneurysm rupture, defined as ICH detected on an admission head CT scan. The secondary outcomes were 90-day poor outcomes and 90-day death. RESULTS Of 415 patients, 217 (52.3%) were females, and the median age was 57.0 years (IQR: 48.0-67.0). ICH was present in 20.5% (85/415) of patients with aSAH. There was a significant difference in the 90-day poor outcomes (43.5% (37/85) and 29.1% (96/330); p=0.011) and 90-day mortality (36.5% (31/85) and 20.0% (66/330); p=0.001) between patients who had ICH and patients who did not have ICH. The multivariable regression analysis showed that systolic blood pressure (SBP) ≥140 mm Hg (adjusted odds ratio (AOR): 2.674; 95% CI: 1.372 to 5.214; p=0.004), World Federation of Neurosurgical Societies (WFNS) grades II (AOR: 3.683; 95% CI: 1.250 to 10.858; p=0.018) to V (AOR: 6.912; 95% CI: 2.553 to 18.709; p<0.001) and a ruptured middle cerebral artery (MCA) aneurysm (AOR: 3.717; 95% CI: 1.848 to 7.477; p<0.001) were independently associated with ICH on admission. CONCLUSIONS In this study, ICH was present in a substantial proportion of patients with aSAH and contributed significantly to a high rate of poor outcomes and death. Higher SBP, worse WFNS grades and ruptured MCA aneurysms were independently associated with ICH on admission.
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Affiliation(s)
- Tuan Anh Nguyen
- Center for Emergency Medicine, Bach Mai Hospital, Hanoi, Viet Nam
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
| | - Ton Duy Mai
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
- Stroke Center, Bach Mai Hospital, Hanoi, Viet Nam
- Faculty of Medicine, University of Medicine and Pharmacy, Vietnam National University, Hanoi, Viet Nam
| | - Luu Dang Vu
- Department of Radiology, Hanoi Medical University, Hanoi, Viet Nam
- Radiology Centre, Bach Mai Hospital, Hanoi, Viet Nam
| | - Co Xuan Dao
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
- Faculty of Medicine, University of Medicine and Pharmacy, Vietnam National University, Hanoi, Viet Nam
- Center for Critical Care Medicine, Bach Mai Hospital, Hanoi, Viet Nam
| | - Hung Manh Ngo
- Faculty of Medicine, University of Medicine and Pharmacy, Vietnam National University, Hanoi, Viet Nam
- Department of Neurosurgery II, Neurosurgery Center, Vietnam-Germany Friendship Hospital, Hanoi, Viet Nam
- Department of Surgery, Hanoi Medical University, Hanoi, Viet Nam
| | - Hai Bui Hoang
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
- Emergency and Critical Care Department, Hanoi Medical University Hospital, Hanoi Medical University, Hanoi, Viet Nam
| | - Tuan Anh Tran
- Faculty of Medicine, University of Medicine and Pharmacy, Vietnam National University, Hanoi, Viet Nam
- Department of Radiology, Hanoi Medical University, Hanoi, Viet Nam
- Radiology Centre, Bach Mai Hospital, Hanoi, Viet Nam
| | - Trang Quynh Pham
- Department of Surgery, Hanoi Medical University, Hanoi, Viet Nam
- Department of Neurosurgery, Bach Mai Hospital, Hanoi, Viet Nam
| | - Dung Thi Pham
- Department of Nutrition and Food Safety, Faculty of Public Health, Thai Binh University of Medicine and Pharmacy, Thai Binh, Viet Nam
| | - My Ha Nguyen
- Department of Health Organization and Management, Faculty of Public Health, Thai Binh University of Medicine and Pharmacy, Thai Binh, Viet Nam
| | - Linh Quoc Nguyen
- Center for Emergency Medicine, Bach Mai Hospital, Hanoi, Viet Nam
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
| | - Phuong Viet Dao
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
- Stroke Center, Bach Mai Hospital, Hanoi, Viet Nam
- Faculty of Medicine, University of Medicine and Pharmacy, Vietnam National University, Hanoi, Viet Nam
| | | | - Hien Thi Thu Vuong
- Department of Emergency, Vietnam-Czechoslovakia Friendship Hospital, Hai Phong, Viet Nam
| | - Hung Dinh Vu
- Emergency and Critical Care Department, Hanoi Medical University Hospital, Hanoi Medical University, Hanoi, Viet Nam
| | - Dong Duc Nguyen
- Department of Neurosurgery II, Neurosurgery Center, Vietnam-Germany Friendship Hospital, Hanoi, Viet Nam
| | - Thanh Dang Vu
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
- Department of Emergency, Agriculture General Hospital, Hanoi, Viet Nam
| | | | - Anh Le Ngoc Do
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
| | - Quynh Thi Pham
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
| | - Nhung Hong Khuat
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
- Department of Intensive Care and Poison Control, Duc Giang General Hospital, Hanoi, Viet Nam
| | - Ninh Van Duong
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
- Department of Intensive Care and Poison Control, Dien Bien Provincial General Hospital, Dien Bien Phu, Viet Nam
| | - Cong Chi Ngo
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
- Department of Emergency, Military Central Hospital 108, Hanoi, Viet Nam
| | - Son Ngoc Do
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
- Faculty of Medicine, University of Medicine and Pharmacy, Vietnam National University, Hanoi, Viet Nam
- Center for Critical Care Medicine, Bach Mai Hospital, Hanoi, Viet Nam
| | - Hao The Nguyen
- Department of Surgery, Hanoi Medical University, Hanoi, Viet Nam
- Department of Neurosurgery, Bach Mai Hospital, Hanoi, Viet Nam
| | - Chi Van Nguyen
- Center for Emergency Medicine, Bach Mai Hospital, Hanoi, Viet Nam
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
| | - Anh Dat Nguyen
- Center for Emergency Medicine, Bach Mai Hospital, Hanoi, Viet Nam
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
| | - Chinh Quoc Luong
- Center for Emergency Medicine, Bach Mai Hospital, Hanoi, Viet Nam
- Department of Emergency and Critical Care Medicine, Hanoi Medical University, Hanoi, Viet Nam
- Faculty of Medicine, University of Medicine and Pharmacy, Vietnam National University, Hanoi, Viet Nam
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Singh SS, Stranges S, Wilk P, Tang ASL, Frisbee SJ. Influence of the Social Environment on Ideal Cardiovascular Health. J Am Heart Assoc 2023; 12:e026790. [PMID: 36789849 PMCID: PMC10111502 DOI: 10.1161/jaha.122.026790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Background The environment plays a large role in the health of individuals; however, more research is needed to better understand aspects of the environment that most influence health. Specifically, our study examines how the social environment influences cardiovascular health (CVH). Methods and Results The social environment was characterized using measures of belonging and life and work stress in individuals, as well as nationally derived measures of marginalization, deprivation, economic status, and community well-being in neighborhoods. CVH was defined by the American Heart Association's Cardiovascular Health Index-a summed score of 7 clinical and behavioral components known to have the greatest impact on CVH. Data were obtained from the Canadian Community Health Survey 2015 to 2016 and multiple national data sources. Multilevel regression models were used to analyze the associations between CVH and the social environment. Overall, 27% of Canadians reported ideal CVH (6-7 score points), 68% reported intermediate CVH (3-5 score points), and 5% reported poor CVH (0-2 score points). The neighborhood environment contributed up to 7% of the differences in CVH between individuals. Findings indicated that residing in a neighborhood with greater community well-being (odds ratio [OR], 1.33 [95% CI, 1.26-1.41]) was associated with achieving higher odds of ideal CVH, while weaker community belonging (OR, 0.67 [95% CI, 0.62-0.72]) and residing in a neighborhood with greater marginalization (OR, 0.87 [95% CI, 0.82-0.91]) and deprivation (OR, 0.67 [95% CI, 0.64-0.69]) were associated with achieving lower odds of ideal CVH. Conclusions Aspects of individual-level social environment and residing in a neighborhood with a more favorable social environment were both independently and significantly associated with achieving ideal CVH.
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Affiliation(s)
- Sarah S Singh
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry University of Western Ontario London Ontario Canada
| | - Saverio Stranges
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry University of Western Ontario London Ontario Canada.,Department of Medicine, Schulich School of Medicine & Dentistry University of Western Ontario London Ontario Canada.,Department of Family Medicine, Schulich School of Medicine & Dentistry University of Western Ontario London Ontario Canada.,Department of Precision Medicine Luxembourg Institute of Health Strassen Luxembourg
| | - Piotr Wilk
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry University of Western Ontario London Ontario Canada.,Department of Paediatrics, Schulich School of Medicine & Dentistry University of Western Ontario London Ontario Canada
| | - Anthony S L Tang
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry University of Western Ontario London Ontario Canada.,Department of Medicine, Division of Cardiology, Schulich School of Medicine & Dentistry University of Western Ontario London Ontario Canada
| | - Stephanie J Frisbee
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry University of Western Ontario London Ontario Canada.,Department of Pathology & Laboratory Medicine, Schulich School of Medicine & Dentistry University of Western Ontario London Ontario Canada.,Lawson Health Research Institute London Ontario Canada
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Dev R, Adams AM, Raparelli V, Norris CM, Pilote L. Sex and Gender Determinants of Vascular Disease in the Global Context. Can J Cardiol 2022; 38:1799-1811. [PMID: 35667597 DOI: 10.1016/j.cjca.2022.05.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/17/2022] [Accepted: 05/29/2022] [Indexed: 12/14/2022] Open
Abstract
Globally, vascular diseases are a leading cause of morbidity and mortality. Many of the most significant risk factors for vascular disease have a gendered dimension, and sex differences in vascular diseases incidence are apparent, worldwide. In this narrative review, we provide a contemporary picture of sex- and gender-related determinants of vascular disease. We illustrate key factors underlying sex-specific risk stratification, consider similarities and sex differences in vascular disease risk and outcomes with comparisons of data from the global North (ie, developed high-income countries in the Northern hemisphere and Australia) and the global South (ie, regions outside Europe and North America), and explore the relationship between country-level gendered inequities in vascular disease risk and the United Nation's gender inequality index. Review findings suggest that the rising incidence of vascular disease in women is partly explained by an increase in the prevalence of traditional risk factors linked to gender-related determinants such as shifting roles and relations related to the double burden of employment and caregiving responsibilities, lower educational attainment, lower socioeconomic status, and higher psychosocial stress. Social isolation partly explained the higher incidence of vascular disease in men. These patterns were apparent across the global North and South. Study findings emphasize the necessity of taking into account sex differences and gender-related factors in the determination of the vascular disease risk profiles and management strategies. As we move toward the era of precision medicine, future research is needed that identifies, validates, and measures gender-related determinants and risk factors in the global South.
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Affiliation(s)
- Rubee Dev
- Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada; Faculty of Applied Science, School of Nursing, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alayne M Adams
- Department of Family Medicine, McGill University, Montreal, Quebec, Canada
| | - Valeria Raparelli
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy; University Center for Studies on Gender Medicine, University of Ferrara, Ferrara, Italy
| | - Colleen M Norris
- Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada; Faculty of Medicine and School of Public Health Sciences, University of Alberta, Edmonton, Alberta, Canada; Cardiovascular and Stroke Strategic Clinical Network, Alberta Health Services, Edmonton, Alberta, Canada
| | - Louise Pilote
- Divisions of General Internal Medicine and Clinical Epidemiology, Department of Medicine, McGill University, Montreal, Quebec, Canada; Centre for Outcomes Research and Evaluation, McGill University Health Centre Research Institute, Montreal, Quebec, Canada.
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Qureshi F, Bousquet-Santos K, Okuzono SS, Tsao E, Delaney S, Guimond AJ, Boehm JK, Kubzansky LD. The social determinants of ideal cardiovascular health: A global systematic review. Ann Epidemiol 2022; 76:20-38. [PMID: 36191736 PMCID: PMC9930100 DOI: 10.1016/j.annepidem.2022.09.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 09/19/2022] [Accepted: 09/28/2022] [Indexed: 11/26/2022]
Abstract
This systematic review synthesizes research published from January 2010-July 2022 on the social determinants of ideal cardiovascular health (CVH) carried out around the world and compares trends in high-income countries (HICs) to those in low- and middle-income countries (LMICs). 41 studies met inclusion criteria (n = 28 HICs, n = 13 LMICs). Most were from the United States (n = 22) and cross-sectional (n = 33), and nearly all evaluated associations among adults. Among studies conducted in LMICs, nearly all were from middle-income countries and only one was carried out in low-income country. Education (n = 24) and income/wealth (n = 17) were the most frequently examined social determinants in both HICs and LMICs. Although most studies assessed ideal CVH using reliable and valid methods (n = 24), only 7 used criteria pre-defined by the American Heart Association to characterize ideal levels of each CVH metric. Despite heterogeneity in how outcome measures were derived and analyzed, consistent associations were evident between multiple markers of higher social status (i.e. greater education, income/wealth, socioeconomic status, racial/ethnic majority status) and greater levels of ideal CVH across both country contexts. Gaps in the literature include evidence from LMICs and HICs other than the United States, longitudinal research, and investigations of a wider array of social determinants beyond education and income/wealth.
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Affiliation(s)
- Farah Qureshi
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
| | - Kelb Bousquet-Santos
- Department of Biological and Health Sciences, University of Brasilia, Campus Universitario - Centro Metropolitano, Ceilandia Campus, Brasilia, FD, Brazil
| | - Sakurako S Okuzono
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Elaine Tsao
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA; Lee Kum Sheung Center for Health and Happiness, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Scott Delaney
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA; Lee Kum Sheung Center for Health and Happiness, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Anne-Josee Guimond
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA; Lee Kum Sheung Center for Health and Happiness, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Julia K Boehm
- Department of Psychology, Chapman University, Orange, CA
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA; Lee Kum Sheung Center for Health and Happiness, Harvard T. H. Chan School of Public Health, Boston, MA
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8
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Janković J, Mandić-Rajčević S, Davidović M, Janković S. Demographic and socioeconomic inequalities in ideal cardiovascular health: A systematic review and meta-analysis. PLoS One 2021; 16:e0255959. [PMID: 34379696 PMCID: PMC8357101 DOI: 10.1371/journal.pone.0255959] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 07/28/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND In 2010, the American Heart Association introduced a new concept of ideal cardiovascular health (CVH) defined as the simultaneous presence of 7 favorable CVH metrics (smoking, diet, physical activity, body mass index, blood pressure, total cholesterol, and fasting blood glucose). The objective of this study was to conduct a systematic literature review and meta-analysis of studies examining the prevalence of ideal CVH, and each of the ideal CVH metrics as well as the relationship between socio-demographic determinants and ideal CVH. METHODS A comprehensive literature search was conducted in Medline and Scopus databases for studies published between 1 January 2010 and 30 June 2020. A total of 50 studies including 2,148,470 participants were analyzed. Associations were estimated using DerSimonian-Laird random-effect models. Heterogeneity was investigated through subgroup analyses, Q-test, and I2 statistics. RESULTS This study showed a low prevalence of ideal CVH defining as 6 and 7 ideal metrics (3.3%). Among seven ideal CVH metrics, smoking was the best metric (71%), while the poorest CVH metric was a healthy diet (5.8%). Gender was a statistically significant moderator of ideal smoking (81% in females and 60% in males) and ideal blood pressure (42% in females and 30% in males). Females and young adults had better CVH status compared to males and older adults. Also, more educated and better-off individuals had a greater number of ideal CVH metrics. CONCLUSIONS To the best of our knowledge, this is the first systematic review on the relationship between participants' socioeconomic status and ideal CVH. The results suggest that the prevalence of ideal CVH and most metrics was unsatisfactory. In order to achieve the improvement of the CVH metrics and the overall ideal CVH, nationwide prevention efforts at the population and individual levels are urgently needed.
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Affiliation(s)
- Janko Janković
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Stefan Mandić-Rajčević
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Maša Davidović
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Slavenka Janković
- Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
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Maugana VF, Kruger R, Schutte AE, Smith W. Socioeconomic inequalities, modifiable lifestyle risk factors, and retinal vessel calibers: The African-PREDICT Study. Microcirculation 2021; 28:e12714. [PMID: 34008905 DOI: 10.1111/micc.12714] [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: 01/28/2021] [Revised: 04/01/2021] [Accepted: 05/11/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Lifestyle risk factors vary between socioeconomic status (SES) groups and may influence cardiovascular function differently. The retinal microvasculature allows for monitoring early changes in cardiovascular health, and therefore, we investigated whether retinal vessel calibers associate differently with modifiable risk factors in different SES groups. METHODS We included 1064 young adults (aged 20-30 years) grouped by low and high SES. The central retinal artery and vein equivalents (CRAE, CRVE) were determined from fundus images captured using the Dynamic Retinal Vessel Analyzer (Imedos Systems GmbH, Jena, Germany). We collected anthropometry, self-reported alcohol consumption, and biochemical data. RESULTS Retinal vessel calibers did not differ between SES groups (p ≥ .80) after adjusting for sex and ethnicity. Unique independent associations were observed in the low SES group, where CRAE (β = 0.08, p = .042) and CRVE (β = .14, p = .001) associated positively with cotinine and body mass index, respectively. In the high SES group, CRAE (β = -0.09, p = .027) associated negatively with alcohol consumption. CONCLUSION At young ages, retinal vessel calibers associated differently with modifiable lifestyle risk factors within each SES group. Our data highlight the importance of detecting adverse lifestyle risk factors among young adults from diverse socioeconomic settings to improve prevention of cardiovascular disease.
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Affiliation(s)
| | - Ruan Kruger
- Hypertension in Africa Research Team (HART, North-West University, Potchefstroom, South Africa.,Medical Research Council: Unit for Hypertension and Cardiovascular Disease, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
| | - Aletta Elisabeth Schutte
- Hypertension in Africa Research Team (HART, North-West University, Potchefstroom, South Africa.,Medical Research Council: Unit for Hypertension and Cardiovascular Disease, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa.,School of Population Health, The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Wayne Smith
- Hypertension in Africa Research Team (HART, North-West University, Potchefstroom, South Africa.,Medical Research Council: Unit for Hypertension and Cardiovascular Disease, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
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10
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Martínez-García M, Gutiérrez-Esparza GO, Roblero-Godinez JC, Marín-Pérez DV, Montes-Ruiz CL, Vallejo M, Hernández-Lemus E. Cardiovascular Risk Factors and Social Development Index. Front Cardiovasc Med 2021; 8:631747. [PMID: 33708806 PMCID: PMC7940205 DOI: 10.3389/fcvm.2021.631747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 01/20/2021] [Indexed: 12/14/2022] Open
Abstract
Cardiovascular diseases (CVD) are the leading causes of morbidity and mortality worldwide. The complex etiology of CVD is known to be significantly affected by environmental and social factors. There is, however, a lag in our understanding of how population level components may be related to the onset and severity of CVD, and how some indicators of unsatisfied basic needs might be related to known risk factors. Here, we present a cross-sectional study aimed to analyze the association between cardiovascular risk factors (CVRF) and Social Development Index (SDI) in adult individuals within a metropolitan urban environment. The six components of SDI as well as socioeconomic, anthropometric, clinical, biochemical, and risk behavior parameters were explored within the study population. As a result, several CVRF (waist circumference, waist-to-height ratio, body mass index, systolic blood pressure, glucose, lower high-density lipoprotein cholesterol, triglycerides, and sodium) were found in a higher proportion in the low or very low levels of the SDI, and this pattern occurs more in women than in men. Canonical analysis indicates a correlation between other socioeconomic features and anthropometric, clinical, and biochemical factors (canonical coefficient = 0.8030). Further studies along these lines are needed to fully establish how to insert such associations into the design of health policy and interventions with a view to lessen the burden of cardiovascular diseases, particularly in metropolitan urban environments.
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Affiliation(s)
| | | | | | | | | | - Maite Vallejo
- Sociomedical Research, National Institute of Cardiology, Mexico City, Mexico
| | - Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico
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11
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Hernández-Vásquez A, Chacón-Torrico H, Vargas-Fernández R, Bendezu-Quispe G, Santero M. Metrics of Ideal Cardiovascular Health are Unequally Distributed between Peruvian Men and Women: Analysis of a National Population-Based Survey in 2017. Int J Prev Med 2020; 11:190. [PMID: 33815714 PMCID: PMC8000168 DOI: 10.4103/ijpvm.ijpvm_326_19] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 11/21/2019] [Indexed: 11/08/2022] Open
Abstract
Background: To determine socioeconomic inequalities in cardiovascular health (CVH) metrics among Peruvian adults as well as differences according to sex. Methods: An observational, cross-sectional study was conducted in 26,175 individuals aged 18–65 years using the 2017 Peruvian Demographic and Health Survey. According to the American Heart Association, 5 CVH metrics which comprised three ideal health behaviors (diet, non smoking, ideal body mass index [BMI]), and two ideal health factors (ideal blood pressure and no history of diabetes) were evaluated. The concentration curves (CC) methodology was used to analyze whether CVH metrics vary between socioeconomic status and sex. The concentration index (CI) was used to quantify socioeconomic-related inequality in health variables. Results: Overall, the mean age was 36.5 years (SD = 11.9) and 51.2% were women. Only 2.4% had 5 ideal CVH metrics (women 3.7%, men 1.0%) with a CI very close to the equality line (0.0135). (0.0135; higher in women [0.0262], compared to men [0,0002]). A greater prevalence of ideal CHV metrics (3 or more) was found in women (P < 0.001). Ideal health factors were more prevalent (52.1%) than ideal health behaviors (13.8%). Regarding inequality measures, CCs for most CVH metrics had a higher concentration in the lowest wealth population, except for ideal diet, which was more frequent among higher levels of wealth. An ideal BMI was the CVH metric with the lowest CI (overall: −0.0817; men: −0.2699). Conclusions: Peruvian women presented a higher prevalence of ideal CVH metrics and fewer inequalities. Ideal CVH metrics tend to be concentrated in the wealthiest women. Low- and middle-income countries should consider socioeconomic inequalities in cardiovascular disease prevention programs.
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Affiliation(s)
- Akram Hernández-Vásquez
- Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Lima, Peru
| | | | | | - Guido Bendezu-Quispe
- Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima, Peru
| | - Marilina Santero
- Universidad de Buenos Aires, Buenos Aires, Argentina.,Instituto de Efectividad Clínica y Sanitaria, Buenos Aires, Argentina
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12
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Abstract
Background: The ideal cardiovascular health index (CVHI) is a measure to summarize cardiovascular (CV) health, and includes smoking, body-mass index, physical activity, blood pressure, glucose, total cholesterol, and diet. Objective: This study aimed to assess CV health using the CVHI and determinants on CV health in a rural African population, and correlate carotid intima-media thickness (CIMT), a surrogate marker for atherosclerosis, with CVHI. Methods: A cross-sectional analysis was performed on baseline data of the Ndlovu Cohort Study, located in rural South Africa. CVHI score (CVHIs) was calculated by the sum of favourable CVHI factors (range 0 to 7). Logistic regression was performed to examine the association of age, sex, HIV-status, education level, employment status, and income with good CV health (5–7 favourable health factors). Mean CIMT was displayed by poor, intermediate and good CV health. Results: The study included 1927 participants with a mean age of 38.7 years (SD ± 12.8). Of the factors contributing to the CVHI, glucose and total cholesterol scored best; diet least good. Average CVHIs for the population was 4.4 (SD ± 1.2) and 53% of the population had a good CV health. Determinants associated with good CV health were younger age, higher educational attainment, and HIV positivity. CVHIs showed good agreement with CIMT. Conclusion: CVHIs showed that more than half of the participants had a good CV health. Agreement between CVHIs and CIMT indicates potential use of CVHIs as a surrogate marker for CV risk. The study highlights the importance of education for health promotion; good CV health in HIV-positive participants may in part be attributed to more frequent health care contact and provision of chronic disease care. Highlights Good cardiovascular health (CVH) was observed in 53% of the study population. In global comparison, rural African study participants showed a good CVH score. HIV positivity was associated with a good CVH score. CVH score showed good agreement with carotid intima-media thickness.
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13
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Harrison S, Couillard C, Robitaille J, Vohl MC, Bélanger M, Desroches S, Provencher V, Rabasa-Lhoret R, Bouchard L, Langlois MF, Houle J, Lemieux S, Lamarche B. Assessment of the American Heart Association's "Life's simple 7" score in French-speaking adults from Québec. Nutr Metab Cardiovasc Dis 2019; 29:684-691. [PMID: 31078363 DOI: 10.1016/j.numecd.2019.03.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 02/15/2019] [Accepted: 03/11/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND AIMS The "Life's Simple 7" (LS7) metrics were developed by the American Heart Association (AHA) to assess and promote cardiovascular health in the American population. The purpose of this study was to assess the overall cardiovascular health of French-speaking adults from the Province of Quebec using the LS7 score. METHODS AND RESULTS A total of 777 age and sex-representative participants of five different administrative regions in the Province of Quebec (387 men and 390 women; mean age ± SEM: 41.9 ± 0.1 years) were included in these analyses. Metrics of the LS7 score (smoking, physical activity, diet, body mass index, blood pressure, fasting total cholesterol and blood glucose) were analysed to generate a final score ranging from 0 to 7. Only 0.5% of participants met all criteria for ideal cardiovascular health. The diet metric showed the lowest prevalence of "ideal" scores (4.8%) whereas not smoking was the metric with the highest prevalence (88.1%). Women had a higher LS7 score than men, while age and education level (negative and positive association, respectively; p < 0.0001) were also associated with the LS7 score. CONCLUSION Consistent with studies conducted among other populations, very few French-speaking adults from the Province of Quebec achieve an ideal cardiovascular health. These data indicate that further public health efforts aimed at promoting the LS7 metrics, focusing primarily on diet, are urgently needed. Specific groups, including older adults and those with lower levels of education, should be targeted when developing cardiovascular health promotion interventions.
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Affiliation(s)
- S Harrison
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec, G1V 0A6, Canada; School of Nutrition, Université Laval, Quebec, G1V 0A6, Canada
| | - C Couillard
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec, G1V 0A6, Canada; School of Nutrition, Université Laval, Quebec, G1V 0A6, Canada
| | - J Robitaille
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec, G1V 0A6, Canada; School of Nutrition, Université Laval, Quebec, G1V 0A6, Canada
| | - M-C Vohl
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec, G1V 0A6, Canada; School of Nutrition, Université Laval, Quebec, G1V 0A6, Canada
| | - M Bélanger
- Department of Family Medicine, Université de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada
| | - S Desroches
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec, G1V 0A6, Canada; School of Nutrition, Université Laval, Quebec, G1V 0A6, Canada
| | - V Provencher
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec, G1V 0A6, Canada; School of Nutrition, Université Laval, Quebec, G1V 0A6, Canada
| | - R Rabasa-Lhoret
- Montreal Clinical Research Institute, Université de Montréal, Montréal, QC, H2W 1R7, Canada
| | - L Bouchard
- ECOGENE-21 Biocluster, Chicoutimi, Qc, G7H 7K9, Canada; Faculté de médecine et des Sciences de la santé, Université de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada
| | - M-F Langlois
- Faculté de médecine et des Sciences de la santé, Université de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada
| | - J Houle
- Département des Sciences infirmières, Université du Québec à Trois-Rivières, Trois-Rivières, QC, G9A 5H7, Canada
| | - S Lemieux
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec, G1V 0A6, Canada; School of Nutrition, Université Laval, Quebec, G1V 0A6, Canada
| | - B Lamarche
- Institute of Nutrition and Functional Foods (INAF), Université Laval, Quebec, G1V 0A6, Canada; School of Nutrition, Université Laval, Quebec, G1V 0A6, Canada.
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14
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Wang F, Zhang LY, Zhang P, Cheng Y, Ye BZ, He MA, Guo H, Zhang XM, Yuan J, Chen WH, Wang YJ, Yao P, Wei S, Zhu YM, Liang Y. Effect of Physical Activity on Hospital Service Use and Expenditures of Patients with Coronary Heart Disease: Results from Dongfeng-Tongji Cohort Study in China. Curr Med Sci 2019; 39:483-492. [PMID: 31209822 DOI: 10.1007/s11596-019-2063-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 11/30/2018] [Indexed: 01/09/2023]
Abstract
The intervention of behaviors, including physical activity (PA), has become a strategy for many hospitals dealing with patients with chronic diseases. Given the limited evidence available about PA and healthcare use with chronic diseases, this study explored the association between different levels of PA and annual hospital service use and expenditure for inpatients with coronary heart disease (CHD) in China. We analyzed PA information from the first follow-up survey (2013) of the Dongfeng-Tongji cohort study of 1460 CHD inpatients. We examined factors such as PA exercise volume and years of PA and their associations with the number of inpatient visits, number of hospital days, and inpatient costs and total medical costs. We found that the number of hospital days and the number of inpatient visits were negatively associated with intensity of PA level. Similarly, total inpatient and outpatient costs declined when the PA exercise volume levels increased. Furthermore, there were also significant associations between the number of hospital days, inpatient costs or total medical costs and levels of PA years. This study provides the first empirical evidence about the effects of the intensity and years of PA on hospital service use and expenditure of CHD in China. It suggests that the patients' PA, especially the vigorous PA, should be promoted widely to the public and patients in order to relieve the financial burden of CHD.
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Affiliation(s)
- Fang Wang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Liu-Yi Zhang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ping Zhang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yao Cheng
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Bei-Zhu Ye
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Mei-An He
- Institute of Occupational Medicine and the Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Huan Guo
- Institute of Occupational Medicine and the Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiao-Min Zhang
- Institute of Occupational Medicine and the Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jing Yuan
- Institute of Occupational Medicine and the Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Wei-Hong Chen
- Institute of Occupational Medicine and the Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - You-Jie Wang
- Institute of Occupational Medicine and the Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Ping Yao
- Institute of Occupational Medicine and the Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Sheng Wei
- Department of Epidemiology and Biostatistics and the Ministry of Education (MOE) Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yi-Mei Zhu
- School of Media, Communication and Sociology, University of Leicester, Leicester, LE1 7JA, UK
| | - Yuan Liang
- Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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15
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Akgöz A, Gözüm S. Cardiovascular disease risk in Turkish family health centers. JOURNAL OF VASCULAR NURSING 2019; 37:117-124. [PMID: 31155158 DOI: 10.1016/j.jvn.2019.02.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 02/12/2019] [Accepted: 02/19/2019] [Indexed: 10/27/2022]
Abstract
Cardiovascular diseases (CVDs) are the leading cause of death both worldwide and in Turkey. The risk of CVD increases among those who are middle aged and among people with certain sociodemographic factors related to that risk. The objective of this study was to determine the prevalence of the risk of CVD and assess the factors related to this risk among adults aged 40-65 years. The study consisted of 327 individuals (208 [63.6%] women and 119 [36.4%] men) from a family health center (FHC) in Antalya, Turkey, who volunteered to participate in the study. The average age of the patients was 52.7 years. This cross-sectional study was conducted between April and September of 2016. The risk levels of the participants were calculated using the HeartScore program in 4 categories (low, moderate, high, and very high risk). In addition, sociodemographic and medical data were collected from the participants, as well. It was found that 3.4% of the patients were at a very high risk, 8% were at a high risk, 22% were at a moderate risk, and 66.7% were at a low risk of CVD. Major variables increasing this risk included diastolic hypertension by 7.49 (3.77-14.88) times. The individuals who completed secondary and high school had 2.44 times greater risk compared with those who completed primary school and lower education; moreover, those who completed university and higher education had the 2.24 times greater risk. Cardiovascular risk screening is important for apparently healthy individuals. The HeartScore program is practical for nurses and other health care professionals in FHCs to estimate individuals' risk of CVD.
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Affiliation(s)
- Ayşe Akgöz
- Faculty of Nursing, Akdeniz University, Antalya, Turkey.
| | - Sebahat Gözüm
- Faculty of Nursing, Akdeniz University, Antalya, Turkey
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16
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Janković J, Davidović M, Bjegović-Mikanović V, Janković S. Status of cardiovascular health in the Republic of Serbia: Results from the National Health Survey. PLoS One 2019; 14:e0214505. [PMID: 30917180 PMCID: PMC6436747 DOI: 10.1371/journal.pone.0214505] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 03/14/2019] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Cardiovascular diseases (CVD) remain the most significant cause of death in low- and middle-income countries where the burden of CVD continues to rise due to the increasing incidence of CVD. The aim of this study was to assess the prevalence of ideal cardiovascular health (CVH) across sex and age groups and to analyze associations between demographic and socio-economic variables and ideal CVH metrics in the adult population of the Republic of Serbia. METHODS Information on demographic (age, sex, marital status, and type of settlement) and socio-economic characteristics (education, and wealth index), and the 7 ideal CVH metrics (smoking, physical activity, healthy diet, BMI, blood pressure, cholesterol, and glucose) was obtained for 13100 respondents aged 20 years and above, from the 2013 National Health Survey in the Republic of Serbia. According to the American Heart Association, the ideal CVH was defined as the simultaneous presence of 7 ideal CVH metrics. RESULTS Out of all ideal CVH metrics, the most prevalent components were ideal glucose (92.2%), ideal cholesterol (86.4%) and ideal smoking (63%), while the least prevalent ideal CVH component was ideal healthy diet (2.4%). Only 0.1% had all 7 CVH components at the ideal level. According to the multivariable logistic regression analysis the higher number of ideal CVH metrics was observed in women (OR = 4.46), younger people (OR = 7.12), people living without partner (OR = 1.70), more educated (OR = 2.51 for middle educated and OR = 3.57 for high educated), as well as among the rich (OR = 1.43). CONCLUSION Our findings of existing age-specific, sex and socio-economic differences in the prevalence and number of ideal CVH metrics should serve for the development of appropriate CVD prevention policies tailored to fit specific needs of both sexes, all age groups and people with different socioeconomic status.
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Affiliation(s)
- Janko Janković
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
- Centre—School of Public Health and Management, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Maša Davidović
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
- Centre—School of Public Health and Management, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Vesna Bjegović-Mikanović
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
- Centre—School of Public Health and Management, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Slavenka Janković
- Institute of Epidemiology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
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17
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Kelli HM, Hammadah M, Ahmed H, Ko YA, Topel M, Samman-Tahhan A, Awad M, Patel K, Mohammed K, Sperling LS, Pemu P, Vaccarino V, Lewis T, Taylor H, Martin G, Gibbons GH, Quyyumi AA. Association Between Living in Food Deserts and Cardiovascular Risk. Circ Cardiovasc Qual Outcomes 2018; 10:CIRCOUTCOMES.116.003532. [PMID: 28904075 DOI: 10.1161/circoutcomes.116.003532] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Accepted: 07/06/2017] [Indexed: 01/01/2023]
Abstract
BACKGROUND Food deserts (FD), neighborhoods defined as low-income areas with low access to healthy food, are a public health concern. We evaluated the impact of living in FD on cardiovascular risk factors and subclinical cardiovascular disease (CVD) with the hypothesis that people living in FD will have an unfavorable CVD risk profile. We further assessed whether the impact of FD on these measures is driven by area income, individual household income, or area access to healthy food. METHODS AND RESULTS We studied 1421 subjects residing in the Atlanta metropolitan area who participated in the META-Health study (Morehouse and Emory Team up to Eliminate Health Disparities; n=712) and the Predictive Health study (n=709). Participants' zip codes were entered into the United States Food Access Research Atlas for FD status. Demographic data, metabolic profiles, hs-CRP (high-sensitivity C-reactive protein) levels, oxidative stress markers (glutathione and cystine), and arterial stiffness were evaluated. Mean age was 49.4 years, 38.5% male and 36.6% black. Compared with those not living in FD, subjects living in FD (n=187, 13.2%) had a higher prevalence of hypertension and smoking, higher body mass index, fasting glucose, and 10-year risk for CVD. They also had higher hs-CRP (P=0.014), higher central augmentation index (P=0.015), and lower glutathione level (P=0.003), indicative of increased oxidative stress. Area income and individual income, rather than food access, were associated with CVD risk measures. In a multivariate analysis that included food access, area income and individual income, both low-income area and low individual household income, were independent predictors of a higher 10-year risk for CVD. Only low individual income was an independent predictor of higher hs-CRP and augmentation index. CONCLUSIONS Although living in FD is associated with a higher burden of cardiovascular risk factors and preclinical indices of CVD, these associations are mainly driven by area income and individual income rather than access to healthy food.
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Affiliation(s)
- Heval M Kelli
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Muhammad Hammadah
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Hina Ahmed
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Yi-An Ko
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Matthew Topel
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Ayman Samman-Tahhan
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Mossab Awad
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Keyur Patel
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Kareem Mohammed
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Laurence S Sperling
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Priscilla Pemu
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Viola Vaccarino
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Tene Lewis
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Herman Taylor
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Greg Martin
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Gary H Gibbons
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.)
| | - Arshed A Quyyumi
- From the Emory Clinical Cardiovascular Research Institute (H.M.K., M.H., H.A., M.T., A.S.-T., M.A., K.P., K.M., L.S.S., V.V., A.A.Q.), Rollins School of Public Health, Emory University School of Medicine (Y.-A.K., V.V., T.L.), and Predictive Health Institute (G.M.), Emory University, Atlanta, GA; Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, GA (P.P., H.T.); and National Heart, Lung, and Blood Institute, Bethesda, MD (G.H.G.).
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18
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Schultz WM, Kelli HM, Lisko JC, Varghese T, Shen J, Sandesara P, Quyyumi AA, Taylor HA, Gulati M, Harold JG, Mieres JH, Ferdinand KC, Mensah GA, Sperling LS. Socioeconomic Status and Cardiovascular Outcomes: Challenges and Interventions. Circulation 2018; 137:2166-2178. [PMID: 29760227 PMCID: PMC5958918 DOI: 10.1161/circulationaha.117.029652] [Citation(s) in RCA: 762] [Impact Index Per Article: 127.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Socioeconomic status (SES) has a measurable and significant effect on cardiovascular health. Biological, behavioral, and psychosocial risk factors prevalent in disadvantaged individuals accentuate the link between SES and cardiovascular disease (CVD). Four measures have been consistently associated with CVD in high-income countries: income level, educational attainment, employment status, and neighborhood socioeconomic factors. In addition, disparities based on sex have been shown in several studies. Interventions targeting patients with low SES have predominantly focused on modification of traditional CVD risk factors. Promising approaches are emerging that can be implemented on an individual, community, or population basis to reduce disparities in outcomes. Structured physical activity has demonstrated effectiveness in low-SES populations, and geomapping may be used to identify targets for large-scale programs. Task shifting, the redistribution of healthcare management from physician to nonphysician providers in an effort to improve access to health care, may have a role in select areas. Integration of SES into the traditional CVD risk prediction models may allow improved management of individuals with high risk, but cultural and regional differences in SES make generalized implementation challenging. Future research is required to better understand the underlying mechanisms of CVD risk that affect individuals of low SES and to determine effective interventions for patients with high risk. We review the current state of knowledge on the impact of SES on the incidence, treatment, and outcomes of CVD in high-income societies and suggest future research directions aimed at the elimination of these adverse factors, and the integration of measures of SES into the customization of cardiovascular treatment.
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Affiliation(s)
| | - Heval M Kelli
- Emory Clinical Cardiovascular Research Institute (H.M.K., J.S., P.S., A.A.Q., L.S.S.), Emory University School of Medicine, Atlanta, GA
| | | | | | - Jia Shen
- Emory Clinical Cardiovascular Research Institute (H.M.K., J.S., P.S., A.A.Q., L.S.S.), Emory University School of Medicine, Atlanta, GA
| | - Pratik Sandesara
- Emory Clinical Cardiovascular Research Institute (H.M.K., J.S., P.S., A.A.Q., L.S.S.), Emory University School of Medicine, Atlanta, GA
| | - Arshed A Quyyumi
- Emory Clinical Cardiovascular Research Institute (H.M.K., J.S., P.S., A.A.Q., L.S.S.), Emory University School of Medicine, Atlanta, GA
| | | | - Martha Gulati
- University of Arizona-Phoenix College of Medicine (M.G.)
| | - John G Harold
- Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA (J.G.H.)
| | | | | | - George A Mensah
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (G.A.M.)
| | - Laurence S Sperling
- Emory Clinical Cardiovascular Research Institute (H.M.K., J.S., P.S., A.A.Q., L.S.S.), Emory University School of Medicine, Atlanta, GA
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19
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Machado LB, Silva BL, Garcia AP, Oliveira RA, Barreto SM, Fonseca MDJM, Lotufo PA, Bensenor IM, Santos IS. Ideal cardiovascular health score at the ELSA-Brasil baseline and its association with sociodemographic characteristics. Int J Cardiol 2018; 254:333-337. [DOI: 10.1016/j.ijcard.2017.12.037] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Revised: 11/30/2017] [Accepted: 12/12/2017] [Indexed: 12/09/2022]
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20
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Topa G, Depolo M, Alcover CM. Early Retirement: A Meta-Analysis of Its Antecedent and Subsequent Correlates. Front Psychol 2018; 8:2157. [PMID: 29354075 PMCID: PMC5759094 DOI: 10.3389/fpsyg.2017.02157] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2017] [Accepted: 11/28/2017] [Indexed: 01/01/2023] Open
Abstract
Early or voluntary retirement (ER) can be defined as the full exit from an organizational job or career path of long duration, decided by individuals of a certain age at the mid or late career before mandatory retirement age, with the aim of reducing their attachment to work and closing a process of gradual psychological disengagement from working life. Given the swinging movements that characterize employment policies, the potential effects of ER-both for individuals and society-are still controversial. This meta-analysis examined the relationships between ER and its antecedent and subsequent correlates. Our review of the literature was generated with 151 empirical studies, containing a total number of 706,937 participants, with a wide range of sample sizes (from N = 27 to N = 127,384 participants) and 380 independent effect sizes (ESs), which included 171 independent samples. A negligible ES value for antecedent correlates of early retirement (family pull, job stress, job satisfaction, and income) was obtained (which ranged from r = -0.13 to 0.19), while a fair ES was obtained for workplace timing for retirement, organizational pressures, financial security, and poor physical and mental health, (ranging from r = 0.28 to 0.25). Regarding ER subsequent correlates, poor ESs were obtained, ranging from r = 0.08 to 0.18 for the relationships with subsequent correlates, and fair ESs only for social engagement (r = -0.25). Examination of the potential moderator variables has been conducted. Only a reduced percentage of variability of primary studies has been explained by moderators. Although potential moderator factors were examined, there are several unknown or not measurable factors which contribute to ER and about which there are very little data available. The discussion is aimed to offer theoretical and empirical implications suggestion in order to improve employee's well-being.
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Affiliation(s)
- Gabriela Topa
- Social and Organizational Psychology, Universidad Nacional de Educación a Distancia, Madrid, Spain
| | - Marco Depolo
- Psychology, Università di Bologna, Bologna, Italy
| | - Carlos-Maria Alcover
- Medicine and Surgery, Psychology, Preventive Medicine and Public Health, Immunology and Medical Microbiology, Nursing, and Stomatology, Universidad Rey Juan Carlos, Madrid, Spain
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21
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Peng Y, Wang Z, Dong B, Cao S, Hu J, Adegbija O. Life's Simple 7 and ischemic heart disease in the general Australian population. PLoS One 2017; 12:e0187020. [PMID: 29073220 PMCID: PMC5658112 DOI: 10.1371/journal.pone.0187020] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2017] [Accepted: 10/11/2017] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The American Heart Association released 7 modifiable factors, Life's Simple 7, that are expected to improve cardiovascular health (CVH), but their contributions to ischemic heart disease (IHD) in the general Australians are not well clarified. METHODS We performed a cross-sectional study based on 7499 adults (≥18 years) who have tested for total cholesterol and fasting plasma glucose as part of 2011-12 Australian Health Survey. Poisson regression analyses were used to estimate the incidence rate ratios and population attributable fractions of those factors to IHD prevalence. Participants were classified into three CVH groups based on the number of ideal metrics: inadequate (0-2), average (3-4), and optimal (5-7). Logistic regression analyses were performed to elucidate the relationship between overall CVH and IHD prevalence. RESULTS 357 participants were self-reported having IHD condition, with a weighted prevalence of 3.3%. Physical inactivity, elevated body mass index (BMI) and total cholesterol (TC) were independently associated with IHD. Compared to the inadequate category, participants in the optimal and average categories have a 78% [adjusted odds ratio (OR), 0.22; 95% confidence interval (CI), 0.03-1.96] and a 45% (adjusted OR, 0.55; 95% CI, 0.39-0.77) lower IHD risk. One more optimal metric was associated with an 18% lower IHD risk (adjusted OR, 0.82; 95% CI, 0.71-0.93). CONCLUSIONS Our findings indicate that physical inactivity, raised BMI and elevated TC were independent modifiable risk factors of IHD in the general Australian population. The improvement of overall CVH may also reduce IHD risk among the general Australian adults.
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Affiliation(s)
- Yang Peng
- Centre for Chronic Disease, Centre for Clinical Research, The University of Queensland, Herston, Australia
- * E-mail:
| | - Zhiqiang Wang
- Centre for Chronic Disease, Centre for Clinical Research, The University of Queensland, Herston, Australia
| | - Bin Dong
- Centre for Chronic Disease, Centre for Clinical Research, The University of Queensland, Herston, Australia
- Institute of Child and Adolescent Health, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Sifan Cao
- Centre for Longitudinal and Life Course Research, School of Public Health, The University of Queensland, Herston, Australia
| | - Jie Hu
- Centre for Chronic Disease, Centre for Clinical Research, The University of Queensland, Herston, Australia
| | - Odewumi Adegbija
- Centre for Chronic Disease, Centre for Clinical Research, The University of Queensland, Herston, Australia
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22
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Abstract
PURPOSE OF REVIEW The aim of this paper is to summarize the recent and relevant evidence linking socioeconomic status (SES) to cardiovascular disease (CVD) and cardiovascular risk factors (CVRFs). RECENT FINDINGS In high-income countries (HICs), the evidence continues to expand, with meta-analyses of large longitudinal cohort studies consistently confirming the inverse association between SES and several CVD and CVRFs. The evidence remains limited in low-income and middle-income countries (LMICs), where most of the evidence originates from cross-sectional studies of varying quality and external validity; the available evidence indicates that the association between SES and CVD and CVRFs depends on the socioeconomic development context and the stage in the demographic, epidemiological, and nutrition transition of the population. The recent evidence confirms that SES is strongly inversely associated with CVD and CVRFs in HICs. However, there remains a need for more research to better understand the way socioeconomic circumstances become embodied in early life and throughout the life course to affect cardiovascular risk in adult and later life. In LMICs, the evidence remains scarce; thus, there is an urgent need for large longitudinal studies to disaggregate CVD and CVRFs by socioeconomic indicators, particularly as these countries already suffer the greatest burden of CVD.
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Affiliation(s)
- Carlos de Mestral
- Division of Chronic Diseases, Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital (CHUV), Biopôle 2 - Route de la Corniche 10, 1010, Lausanne, Switzerland
| | - Silvia Stringhini
- Division of Chronic Diseases, Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital (CHUV), Biopôle 2 - Route de la Corniche 10, 1010, Lausanne, Switzerland.
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23
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Festin K, Thomas K, Ekberg J, Kristenson M. Choice of measure matters: A study of the relationship between socioeconomic status and psychosocial resources in a middle-aged normal population. PLoS One 2017; 12:e0178929. [PMID: 28832585 PMCID: PMC5568385 DOI: 10.1371/journal.pone.0178929] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Accepted: 05/22/2017] [Indexed: 12/30/2022] Open
Abstract
Psychosocial resources may serve as an important link to explain socioeconomic differences in health. Earlier studies have demonstrated that education, income and occupational status cannot be used interchangeably as indicators of a hypothetical latent social dimension. In the same manner, it is important to disentangle the effect of measuring different constructs of psychosocial resources. The aim of this study was therefore to analyse if associations between socioeconomic status (SES) and psychosocial resources differ depending on the measures used. A cross-sectional population-based study of a random sample (n = 1007) of middle-aged individuals (45-69 years old, 50% women) in Sweden was performed using questionnaire and register data. SES was measured as education, occupation, household income and self-rated economy. Psychosocial resources were measured as social integration, social support, mastery, self-esteem, sense of coherence (SOC) and trust. Logistic regression models were applied to analyse the relationships controlling for the effects of possible confounders. The measures of SES were low or moderately correlated to each other as were the measures of psychosocial resources. After controlling for age, sex, country of birth and employment status, household income and self-rated economy were associated with all six psychosocial resources; occupation was associated with three (social integration, self-esteem and trust) and education with two (social integration and self-esteem). Social integration and self-esteem showed a significant and graded relationship with all SES measures; trust was associated with all SES measures except education, whereas SOC and mastery were only associated with household income and self-rated economy. After controlling for other SES measures, no associations with psychosocial resources remained for education or occupation. In conclusion, associations between SES and psychosocial resources did differ depending on the measures used. The findings illustrate the importance of the choice of measure when investigating SES as well as psychosocial resources.
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Affiliation(s)
- Karin Festin
- Division of Community Medicine, Department of Medical and Health Sciences, Faculty of Medicine and Health, Linköping University, Linköping, Sweden
- * E-mail:
| | - Kristin Thomas
- Division of Community Medicine, Department of Medical and Health Sciences, Faculty of Medicine and Health, Linköping University, Linköping, Sweden
| | - Joakim Ekberg
- Unit for Health Analysis, Centre for Healthcare Development, Region Östergötland, Linköping, Sweden
| | - Margareta Kristenson
- Division of Community Medicine, Department of Medical and Health Sciences, Faculty of Medicine and Health, Linköping University, Linköping, Sweden
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24
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Perceived physical strain at work and incidence of colorectal cancer: A nested case–control study. Cancer Epidemiol 2016; 43:100-4. [DOI: 10.1016/j.canep.2016.07.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 06/23/2016] [Accepted: 07/04/2016] [Indexed: 11/22/2022]
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25
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Empana JP, Perier MC, Singh-Manoux A, Gaye B, Thomas F, Prugger C, Plichart M, Wiernik E, Guibout C, Lemogne C, Pannier B, Boutouyrie P, Jouven X. Cross-sectional analysis of deprivation and ideal cardiovascular health in the Paris Prospective Study 3. Heart 2016; 102:1890-1897. [PMID: 27354274 DOI: 10.1136/heartjnl-2016-309502] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Revised: 05/18/2016] [Accepted: 05/30/2016] [Indexed: 11/04/2022] Open
Abstract
AIMS We hypothesised that deprivation might represent a barrier to attain an ideal cardiovascular health (CVH) as defined by the American Heart Association (AHA). METHODS AND RESULTS The baseline data of 8916 participants of the Paris Prospective Study 3, an observational cohort on novel markers for future cardiovascular disease, were used. The AHA 7-item tool includes four health behaviours (smoking, body weight, physical activity and optimal diet) and three biological measures (blood cholesterol, blood glucose and blood pressure). A validated 11-item score of individual material and psychosocial deprivation, the Evaluation de la Précarité et des Inégalités dans les Centres d'Examens de Santé-Evaluation of Deprivation and Inequalities in Health Examination centres (EPICES) score was used. The mean age was 59.5 years (standard deviation 6.2), 61.2% were men and 9.98% had an ideal CVH. In sex-specific multivariable polytomous logistic regression, the odds ratio (OR) for ideal behavioural CVH progressively decreased with quartile of increasing deprivation, from 0.54 (95% CI 0.41 to 0.72) to 0.49 (0.37 to 0.65) in women and from 0.61 (0.50 to 0.76) to 0.57 (0.46 to 0.71) in men. Associations with ideal biological CVH were confined to the most deprived women (OR=0.60; 95% CI 0.37 to 0.99), whereas in men, greater deprivation was related to higher OR of intermediate biological CVH (OR=1.28; 95% CI 1.05 to 1.57 for the third quartile vs the first quartile). CONCLUSIONS Higher material and psychosocial deprivation may represent a barrier to reach an ideal CVH. TRIAL REGISTRATION NUMBER NCT00741728.
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Affiliation(s)
- J P Empana
- Department of Epidemiology, INSERM, UMR-S970, Paris Cardiovascular Research Center, Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - M C Perier
- Department of Epidemiology, INSERM, UMR-S970, Paris Cardiovascular Research Center, Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - A Singh-Manoux
- INSERM, U1018, Epidemiology of Ageing and Age Related Diseases, Villejuif, France.,Université Paris-Saclay, Univ. Paris-Sud, UVSQ, France
| | - B Gaye
- Department of Epidemiology, INSERM, UMR-S970, Paris Cardiovascular Research Center, Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - F Thomas
- Preventive and Clinical Investigation Center, Paris, France
| | - C Prugger
- Institute of Public Health, Charité University Medicine Berlin, Berlin, Germany
| | - M Plichart
- Department of Epidemiology, INSERM, UMR-S970, Paris Cardiovascular Research Center, Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France.,Department of Geriatry, APHP, Hopital Broca, Paris, France
| | - E Wiernik
- INSERM, U1018, Epidemiology of Ageing and Age Related Diseases, Villejuif, France.,Université Paris-Saclay, Univ. Paris-Sud, UVSQ, France
| | - C Guibout
- Department of Epidemiology, INSERM, UMR-S970, Paris Cardiovascular Research Center, Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - C Lemogne
- Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France.,Psychiatry Department, APHP, Georges Pompidou European Hospital, Paris, France.,INSERM, Centre for Psychiatry and Neuroscience, Paris, France
| | - B Pannier
- Preventive and Clinical Investigation Center, Paris, France
| | - P Boutouyrie
- Department of Epidemiology, INSERM, UMR-S970, Paris Cardiovascular Research Center, Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France.,Pharmacology Departments, APHP, Georges Pompidou European Hospital, Paris, France
| | - X Jouven
- Department of Epidemiology, INSERM, UMR-S970, Paris Cardiovascular Research Center, Paris, France.,Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France.,Cardiology Department, APHP, Georges Pompidou European Hospital, Paris, France
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