1
|
Satapathy P, Khatib MN, Gaidhane S, Zahiruddin QS, Gaidhane AM, Rustagi S, Serhan HA, Padhi BK. Association of neighborhood deprivation and hypertension: A systematic review and meta-analysis. Curr Probl Cardiol 2024; 49:102438. [PMID: 38301916 DOI: 10.1016/j.cpcardiol.2024.102438] [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: 01/29/2024] [Accepted: 01/29/2024] [Indexed: 02/03/2024]
Abstract
BACKGROUND Hypertension impacts nearly one billion individuals and is a primary health challenge. While traditional perspectives have focused on individual behavior and genetics as principal risk factors, recent research underscores the profound influence of socioeconomic factors within neighborhoods on the risk of hypertension. This systematic review and meta-analysis is aimed to elucidate the association between neighborhood deprivation and the risk of hypertension. METHODS A comprehensive literature search was conducted across PubMed, Embase, and Web of Science from inception until December 25, 2023. Observational studies defining neighborhood deprivation and reporting hypertension incidence were included. Nested Knowledge software was used for screening and data extraction, with study quality assessed using the Newcastle-Ottawa Scale. Statistical analysis was performed with R software (V 4.3), using a random-effects model to calculate the pooled relative risk (RR). RESULTS Twenty-six studies were included in the qualitative analysis and 22 in the meta-analysis, covering over 62 million participants. The pooled RR was 1.139 (95% CI: 1.006 - 1.290), p=0.04, indicating a higher hypertension risk in deprived neighborhoods. Subgroup analyses showed variability by country and deprivation assessment methods. RR varied from 1.00 in Japan (95% CI: 0.93-1.08) to 1.60 (95% CI: 1.07-2.39) in France and 1.57 (95% CI: 0.67-3.70) in Germany, with significant heterogeneity observed in measures of neighborhood deprivation. CONCLUSION Our analysis confirms a significant association between neighborhood deprivation and hypertension, underscoring the importance of socioeconomic factors in public health. It highlights the need for targeted local assessments and interventions. Future research should explore the causal mechanisms and effectiveness of interventions addressing neighborhood deprivation.
Collapse
Affiliation(s)
- Prakasini Satapathy
- Center for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India; School of Pharmacy, Graphic Era Hill University, Dehradun, India; Medical Laboratories Techniques Department, AL-Mustaqbal University, Hillah, Babil 51001, Iraq
| | - Mahalaqua Nazli Khatib
- Division of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India
| | - Shilpa Gaidhane
- One Health Centre (COHERD), Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education, Wardha, India
| | - Quazi Syed Zahiruddin
- South Asia Infant Feeding Research Network (SAIFRN), Division of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India
| | - Abhay M Gaidhane
- Jawaharlal Nehru Medical College, and Global Health Academy, School of Epidemiology and Public Health, Datta Meghe Institute of Higher Education, Wardha, India
| | - Sarvesh Rustagi
- School of Applied and Life Sciences, Uttaranchal University, Dehradun, Uttarakhand, India
| | - Hashem Abu Serhan
- Department of Ophthalmology, Hamad Medical Corporation, Doha, Qatar.
| | - Bijaya K Padhi
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
| |
Collapse
|
2
|
Wang J, Zhou H, Chen H, Feng H, Chang T, Sun C, Guo R, Ruan Z, Bi F, Li J, Wang J, Wang K, Ma G, Lei S, Wang C, Wang Z, Huang F, Zhang S, Wen Q, Wang Y, Sun Y, Li Y, Xie N, Liu H, Jiang Y, Lei L, Fan Z, Su S, Lu Y, Di L, Xu M, Wang M, Chen H, Wang S, Wen X, Zhu W, Duo J, Huang Y, Zheng D, Da Y. Environmental factors affecting the risk of generalization for ocular-onset myasthenia gravis: a nationwide cohort study. QJM 2024; 117:109-118. [PMID: 37802883 DOI: 10.1093/qjmed/hcad225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/20/2023] [Indexed: 10/08/2023] Open
Abstract
BACKGROUND The environmental effects on the prognosis of ocular myasthenia gravis (OMG) remain largely unexplored. AIM To investigate the association between specific environmental factors and the generalization of OMG. DESIGN The cohort study was conducted in China based on a nationwide multicenter database. METHODS Adult patients with OMG at onset, who were followed up for at least 2 years until May 2022, were included. We collected data on demographic and clinical factors, as well as environmental factors, including latitude, socioeconomic status (per capita disposable income [PDI] at provincial level and education) and smoking. The study outcome was the time to the development of generalized myasthenia gravis (GMG). Cox models were employed to examine the association between environmental exposures and generalization. Restricted cubic spline was used to model the association of latitude with generalization risk. RESULTS A total of 1396 participants were included. During a median follow-up of 5.15 (interquartile range [IQR] 3.37-9.03) years, 735 patients developed GMG within a median of 5.69 (IQR 1.10-15.66) years. Latitude of 20-50°N showed a U-shaped relation with generalization risk, with the lowest risk at around 30°N; both higher and lower latitudes were associated with the increased risk (P for non-linearity <0.001). Living in areas with lower PDI had 1.28-2.11 times higher risk of generalization. No significant association was observed with education or smoking. CONCLUSIONS Latitude and provincial-level PDI were associated with the generalization of OMG in China. Further studies are warranted to validate our findings and investigate their potential applications in clinical practice and health policy.
Collapse
Affiliation(s)
- Jingsi Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Hongyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Hongxi Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Huiyu Feng
- Department of Neurology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ting Chang
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Chao Sun
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Rongjing Guo
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Zhe Ruan
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Fangfang Bi
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jing Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jianwen Wang
- Department of Neurology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Kang Wang
- Department of Neurology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Gaoting Ma
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shaoyuan Lei
- Department of Evidence-Based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Chunxiu Wang
- Department of Evidence-Based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhihong Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feifei Huang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shu Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qi Wen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yaye Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yanan Sun
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yun Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Nairong Xie
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Haoran Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yuting Jiang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lin Lei
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhirong Fan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shengyao Su
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan Lu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Li Di
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Min Xu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Min Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Hai Chen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Suobin Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xinmei Wen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wenjia Zhu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jianying Duo
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yue Huang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Deqiang Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Yuwei Da
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
3
|
Anand VV, Zhe ELC, Chin YH, Goh RSJ, Lin C, Kueh MTW, Chong B, Kong G, Tay PWL, Dalakoti M, Muthiah M, Dimitriadis GK, Wang JW, Mehta A, Foo R, Tse G, Figtree GA, Loh PH, Chan MY, Mamas MA, Chew NWS. Socioeconomic deprivation and prognostic outcomes in acute coronary syndrome: A meta-analysis using multidimensional socioeconomic status indices. Int J Cardiol 2023:S0167-5273(23)00597-1. [PMID: 37116760 DOI: 10.1016/j.ijcard.2023.04.042] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 02/26/2023] [Accepted: 04/23/2023] [Indexed: 04/30/2023]
Abstract
BACKGROUND Low socioeconomic status (SES) is an important prognosticator amongst patients with acute coronary syndrome (ACS). This paper analysed the effects of SES on ACS outcomes. METHODS Medline and Embase were searched for articles reporting outcomes of ACS patients stratified by SES using a multidimensional index, comprising at least 2 of the following components: Income, Education and Employment. A comparative meta-analysis was conducted using random-effects models to estimate the risk ratio of all-cause mortality in low SES vs high SES populations, stratified according to geographical region, study year, follow-up duration and SES index. RESULTS A total of 29 studies comprising of 301,340 individuals were included, of whom 43.7% were classified as low SES. While patients of both SES groups had similar cardiovascular risk profiles, ACS patients of low SES had significantly higher risk of all-cause mortality (adjusted HR:1.19, 95%CI: 1.10-1.1.29, p < 0.001) compared to patients of high SES, with higher 1-year mortality (RR:1.08, 95%CI:1.03-1.13, p = 0.0057) but not 30-day mortality (RR:1.07, 95%CI:0.98-1.16, p = 0.1003). Despite having similar rates of ST-elevation myocardial infarction and non-ST-elevation ACS, individuals with low SES had lower rates of coronary revascularisation (RR:0.95, 95%CI:0.91-0.99, p = 0.0115) and had higher cerebrovascular accident risk (RR:1.25, 95%CI:1.01-1.55, p = 0.0469). Excess mortality risk was independent of region (p = 0.2636), study year (p = 0.7271) and duration of follow-up (p = 0.0604) but was dependent on the SES index used (p < 0.0001). CONCLUSION Low SES is associated with increased mortality post-ACS, with suboptimal coronary revascularisation rates compared to those of high SES. Concerted efforts are needed to address the global ACS-related socioeconomic inequity. REGISTRATION AND PROTOCOL The current study was registered with PROSPERO, ID: CRD42022334482.
Collapse
Affiliation(s)
- Vickram Vijay Anand
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Ethan Lee Cheng Zhe
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Yip Han Chin
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Rachel Sze Jen Goh
- Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Chaoxing Lin
- Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Martin Tze Wah Kueh
- Royal College of Surgeons in Ireland and University College Dublin Malaysia Campus, Malaysia
| | - Bryan Chong
- Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Gwyneth Kong
- Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Phoebe Wen Lin Tay
- Yong Loo Lin School of Medicine, National University Singapore, Singapore
| | - Mayank Dalakoti
- Yong Loo Lin School of Medicine, National University Singapore, Singapore; Department of Cardiology, National University Heart Centre, National University Health System, Singapore
| | - Mark Muthiah
- Yong Loo Lin School of Medicine, National University Singapore, Singapore; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore; National University Centre for Organ Transplantation, National University Health System, Singapore
| | - Georgios K Dimitriadis
- Faculty of Life Sciences and Medicine, School of Life Course Sciences, King's College London, London, UK; Department of Endocrinology ASO/EASO COM, King's College Hospital NHS Foundation Trust, Denmark Hill, London, UK
| | - Jiong-Wei Wang
- Yong Loo Lin School of Medicine, National University Singapore, Singapore; Department of Surgery, Cardiovascular Research Institute (CVRI), National University of Singapore, Singapore; Nanomedicine Translational Research Programme, Centre for NanoMedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Anurag Mehta
- Division of Cardiology, Department of Internal Medicine, Virginia Commonwealth University Pauley Heart Centre, Richmond, VA, USA
| | - Roger Foo
- Yong Loo Lin School of Medicine, National University Singapore, Singapore; Department of Cardiology, National University Heart Centre, National University Health System, Singapore
| | - Gary Tse
- Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin 300211, China; Kent and Medway Medical School, Kent, Canterbury CT2 7NT, UK
| | - Gemma A Figtree
- Northern Clinical School, Kolling Institute of Medical Research, University of Sydney, Sydney, NSW, Australia; Department of Cardiology, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Poay Huan Loh
- Yong Loo Lin School of Medicine, National University Singapore, Singapore; Department of Cardiology, National University Heart Centre, National University Health System, Singapore
| | - Mark Y Chan
- Yong Loo Lin School of Medicine, National University Singapore, Singapore; Department of Cardiology, National University Heart Centre, National University Health System, Singapore
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, School of Medicine, Keele University, Stoke-on-Trent, UK; Institute of Population Health, University of Manchester, UK
| | - Nicholas W S Chew
- Department of Cardiology, National University Heart Centre, National University Health System, Singapore.
| |
Collapse
|
4
|
Hollin IL, Bonilla B, Bagley A, Tucker CA. Social and environmental determinants of health among children with long-term movement impairment. FRONTIERS IN REHABILITATION SCIENCES 2022; 3:831070. [PMID: 36188898 PMCID: PMC9397841 DOI: 10.3389/fresc.2022.831070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 07/13/2022] [Indexed: 11/13/2022]
Abstract
The healthcare research community increasingly recognizes the need to address social (SDOH) and environmental determinants of health (EDOH) to optimize health and healthcare. This is particularly relevant to disability and functioning and to those with child onset conditions that impair mobility and impact functioning and participation. Using the World Health Organization (WHO)'s International Classification of Functioning, Disability, and Health (ICF) as a comprehensive framework, this paper aims to discuss our understanding of the relationships between social and EDOH and outcomes among people with impaired mobility that impacts functioning. This paper offers suggestions for future developments and guidance to use SDOH and EDOH in research and clinical practice.
Collapse
Affiliation(s)
- Ilene L. Hollin
- Department of Health Services Administration and Policy, Temple University College of Public Health, Philadelphia, PA, United States
- *Correspondence: Ilene L. Hollin
| | - Bethney Bonilla
- Center for Healthcare Policy and Research, University of California, Davis, Davis, CA, United States
- Bethney Bonilla
| | - Anita Bagley
- Clinical Research, Shriners Hospitals for Children, Northern California, Sacramento, CA, United States
| | - Carole A. Tucker
- Department of Nutrition, Metabolic and Rehabilitation Sciences, University of Texas Medical Branch, School of Health Professions, Galveston, TX, United States
| |
Collapse
|
5
|
Hruska B, Pacella-LaBarbara ML, Castro IE, George RL, Delahanty DL. Incorporating community-level risk factors into traumatic stress research: Adopting a public health lens. J Anxiety Disord 2022; 86:102529. [PMID: 35074683 DOI: 10.1016/j.janxdis.2022.102529] [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] [Received: 04/05/2021] [Revised: 11/13/2021] [Accepted: 01/09/2022] [Indexed: 10/19/2022]
Abstract
Infusing community-level risk factors into traumatic stress research can broaden intervention targets. The Neighborhood Deprivation Index (NDI) and the Index of Concentration at the Extremes (ICE) are two common community-level risk factors derived from U.S. census data. We provide R scripts facilitating the computation of these risk factors and demonstrate their relationship with PTSD symptomatology in 74 injury survivors assessed at 2-weeks, 6-weeks, and 3-months post-injury. The NDI and the ICE were computed using the Census Data Application Programming Interface, then matched to participants' census tracts using their residential addresses. Results indicated that after controlling for person-level characteristics, both risk factors were associated with PTSD symptom severity at follow up time points (Cohen's f2 =0.011,.14). This study provides an easy method for computing the NDI and ICE, demonstrates the increased mental health risk that they convey in the aftermath of injury, and highlights their value in intervention efforts.
Collapse
Affiliation(s)
- Bryce Hruska
- Department of Public Health, Syracuse University, USA.
| | | | | | | | | |
Collapse
|
6
|
Huded CP, Dalton JE, Kumar A, Krieger NI, Kassis N, Phelan M, Kravitz K, Reed GW, Krishnaswamy A, Kapadia SR, Khot U. Relationship of Neighborhood Deprivation and Outcomes of a Comprehensive ST Elevation Myocardial Infarction Protocol. J Am Heart Assoc 2021; 10:e024540. [PMID: 34779652 PMCID: PMC9075260 DOI: 10.1161/jaha.121.024540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Background We evaluated whether a comprehensive ST‐segment–elevation myocardial infarction protocol (CSP) focusing on guideline‐directed medical therapy, transradial percutaneous coronary intervention, and rapid door‐to‐balloon time improves process and outcome metrics in patients with moderate or high socioeconomic deprivation. Methods and Results A total of 1761 patients with ST‐segment–elevation myocardial infarction treated with percutaneous coronary intervention at a single hospital before (January 1, 2011–July 14, 2014) and after (July 15, 2014– July 15, 2019) CSP implementation were included in an observational cohort study. Neighborhood deprivation was assessed by the Area Deprivation Index and was categorized as low (≤50th percentile; 29.0%), moderate (51st –90th percentile; 40.8%), and high (>90th percentile; 30.2%). The primary process outcome was door‐to‐balloon time. Achievement of guideline‐recommend door‐to‐balloon time goals improved in all deprivation groups after CSP implementation (low, 67.8% before CSP versus 88.5% after CSP; moderate, 50.7% before CSP versus 77.6% after CSP; high, 65.5% before CSP versus 85.6% after CSP; all P<0.001). Median door‐to‐balloon time among emergency department/in‐hospital patients was significantly noninferior in higher versus lower deprivation groups after CSP (noninferiority limit=5 minutes; Pnoninferiority high versus moderate = 0.002, high versus low <0.001, moderate versus low = 0.02). In‐hospital mortality, the primary clinical outcome, was significantly lower after CSP in patients with moderate/high deprivation in unadjusted (before CSP 7.0% versus after CSP 3.1%; odds ratio [OR], 0.42 [95% CI, 0.25–0.72]; P=0.002) and risk‐adjusted (OR, 0.42 [95% CI, 0.23–0.77]; P=0.005) models. Conclusions A CSP was associated with improved ST‐segment–elevation myocardial infarction care across all deprivation groups and reduced mortality in those from moderate or high deprivation neighborhoods. Standardized initiatives to reduce care variability may mitigate social determinants of health in time‐sensitive conditions such as ST‐segment–elevation myocardial infarction.
Collapse
Affiliation(s)
- Chetan P Huded
- Department of Cardiology Saint Luke's Mid-America Heart Institute Kansas City MO
| | - Jarrod E Dalton
- Department of Quantitative Health Sciences Lerner Research Institute Cleveland Clinic Cleveland OH
| | - Anirudh Kumar
- Department of Cardiovascular Medicine Thoracic Institute Cleveland Clinic Heart, Vascular Cleveland OH.,Center for Healthcare Delivery Innovation Thoracic Institute Cleveland Clinic Heart, Vascular Cleveland OH
| | - Nikolas I Krieger
- Department of Quantitative Health Sciences Lerner Research Institute Cleveland Clinic Cleveland OH
| | - Nicholas Kassis
- Department of Cardiovascular Medicine Thoracic Institute Cleveland Clinic Heart, Vascular Cleveland OH.,Center for Healthcare Delivery Innovation Thoracic Institute Cleveland Clinic Heart, Vascular Cleveland OH
| | - Michael Phelan
- Department of Emergency Medicine Emergency Services Institute Cleveland Clinic Cleveland OH
| | - Kathleen Kravitz
- Department of Cardiovascular Medicine Thoracic Institute Cleveland Clinic Heart, Vascular Cleveland OH
| | - Grant W Reed
- Department of Cardiovascular Medicine Thoracic Institute Cleveland Clinic Heart, Vascular Cleveland OH
| | - Amar Krishnaswamy
- Department of Cardiovascular Medicine Thoracic Institute Cleveland Clinic Heart, Vascular Cleveland OH
| | - Samir R Kapadia
- Department of Cardiovascular Medicine Thoracic Institute Cleveland Clinic Heart, Vascular Cleveland OH
| | - Umesh Khot
- Department of Cardiovascular Medicine Thoracic Institute Cleveland Clinic Heart, Vascular Cleveland OH.,Center for Healthcare Delivery Innovation Thoracic Institute Cleveland Clinic Heart, Vascular Cleveland OH
| |
Collapse
|
7
|
Wang A, Kho AN, Black B, French DD. Determining the feasibility of an index of the social determinants of health using data from public sources. Inform Health Soc Care 2021; 46:205-217. [PMID: 33632053 DOI: 10.1080/17538157.2021.1880413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Examining the feasibility of developing an index measure for the social determinants of health using public data is needed. We examined these characteristics at the ZIP code in California and New York using public data extracted from the US Census, American Community Survey, the USDA Food Research Access Atlas, and the Dartmouth Atlas. We conducted a retrospective study from 2000 to 2017. The main outcome was a novel index measure representing six domains (economic stability, neighborhood and physical environment, education, community and social context, food access, and health care) and encompassing 13 items. The index measure at the ZIP code was created using principal component analysis, normalized to "0" worse and "1" better in California (ZIP codes n = 1,447 to 1,515) and New York (ZIP codes n = 1,211 to 1,298). We assessed the reliability and conducted a nonparametric comparison to the Robert Wood Johnson Foundation County Health Rankings, Area Deprivation Index, Social Deprivation Index, and GINI Index. These measures shared similarities and differences with the novel measure. Mapping of this novel measure showed regional variation. As a result, developing a universal social determinants of health measure is feasible and more research is needed to link it to health outcomes.
Collapse
Affiliation(s)
- Andrew Wang
- Institute for Public Health and Medicine, Center for Health Services and Outcomes Research, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Institute for Public Health and Medicine, Center for Health Information Partnerships, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Abel N Kho
- Institute for Public Health and Medicine, Center for Health Information Partnerships, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Division of General Internal Medicine and Geriatrics, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Bernard Black
- Pritzker School of Law, Northwestern University, Chicago, Illinois, USA.,Kellogg School of Management, Northwestern University, Chicago, Illinois, USA
| | - Dustin D French
- Institute for Public Health and Medicine, Center for Health Services and Outcomes Research, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.,U.S. Department of Veterans Affairs, Health Services Research and Development, Hines, Illinois, USA
| |
Collapse
|
8
|
Harding KE, Wardle M, Carruthers R, Robertson N, Zhu F, Kingwell E, Tremlett H. Socioeconomic status and disability progression in multiple sclerosis: A multinational study. Neurology 2019; 92:e1497-e1506. [PMID: 30796140 DOI: 10.1212/wnl.0000000000007190] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 11/16/2018] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVE To examine the association between socioeconomic status (SES) and disability outcomes and progression in multiple sclerosis (MS). METHODS Health administrative and MS clinical data were linked for 2 cohorts of patients with MS in British Columbia (Canada) and South East Wales (UK). SES was measured at MS symptom onset (±3 years) based on neighborhood-level average income. The association between SES at MS onset and sustained and confirmed Expanded Disability Status Scale (EDSS) 6.0 and 4.0 and onset of secondary progression of MS (SPMS) were assessed using Cox proportional hazards models. EDSS scores were also examined via linear regression, using generalized estimating equations (GEE) with an exchangeable working correlation. Models were adjusted for onset age, sex, initial disease course, and disease-modifying drug exposure. Random effect models (meta-analysis) were used to combine results from the 2 cohorts. RESULTS A total of 3,113 patients with MS were included (2,069 from Canada; 1,044 from Wales). A higher SES was associated with a lower hazard of reaching EDSS 6.0 (adjusted hazard ratio [aHR] 0.90, 95% confidence interval [CI] 0.89-0.91), EDSS 4.0 (aHR 0.93, 0.88-0.98), and SPMS (aHR 0.94, 0.88-0.99). The direction of findings was similar when all EDSS scores were included (GEE: β = -0.13, -0.18 to -0.08). CONCLUSIONS Lower neighborhood-level SES was associated with a higher risk of disability progression. Reasons for this association are likely to be complex but could include factors amenable to modification, such as lifestyle or comorbidity. Our findings are relevant for planning and development of MS services.
Collapse
Affiliation(s)
- Katharine E Harding
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK.
| | - Mark Wardle
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
| | - Robert Carruthers
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
| | - Neil Robertson
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
| | - Feng Zhu
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
| | - Elaine Kingwell
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
| | - Helen Tremlett
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
| |
Collapse
|