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Kennedy K, Jusue-Torres I, Buller ID, Rossi E, Mallisetty A, Rodgers K, Lee B, Menchaca M, Pasquinelli M, Nguyen RH, Weinberg F, Rubinstein I, Herman JG, Brock M, Feldman L, Aldrich MC, Hulbert A. Neighborhood-level deprivation and survival in lung cancer. BMC Cancer 2024; 24:959. [PMID: 39107707 PMCID: PMC11301857 DOI: 10.1186/s12885-024-12720-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Accepted: 07/29/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Despite recent advances in lung cancer therapeutics and improving overall survival, disparities persist among socially disadvantaged populations. This study aims to determine the effects of neighborhood deprivation indices (NDI) on lung cancer mortality. This is a multicenter retrospective cohort study assessing the relationship between NDI and overall survival adjusted for age, disease stage, and DNA methylation among biopsy-proven lung cancer patients. State-specific NDI for each year of sample collection were computed at the U.S. census tract level and dichotomized into low- and high-deprivation. RESULTS A total of 173 non small lung cancer patients were included, with n = 85 (49%) and n = 88 (51%) in the low and high-deprivation groups, respectively. NDI was significantly higher among Black patients when compared with White patients (p = 0.003). There was a significant correlation between DNA methylation and stage for HOXA7, SOX17, ZFP42, HOXA9, CDO1 and TAC1. Only HOXA7 DNA methylation was positively correlated with NDI. The high-deprivation group had a statistically significant shorter survival than the low-deprivation group (p = 0.02). After adjusting for age, race, stage, and DNA methylation status, belonging to the high-deprivation group was associated with higher mortality with a hazard ratio of 1.81 (95%CI: 1.03-3.19). CONCLUSIONS Increased neighborhood-level deprivation may be associated with liquid biopsy DNA methylation, shorter survival, and increased mortality. Changes in health care policies that consider neighborhood-level indices of socioeconomic deprivation may enable a more equitable increase in lung cancer survival.
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Affiliation(s)
- Kathleen Kennedy
- Department of Hematology Oncology, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
| | - Ignacio Jusue-Torres
- Department of Neurologic Surgery, Mayo Clinic Health System, Eau Claire, WI, USA
| | - Ian D Buller
- Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Rockville, MD, USA
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Emily Rossi
- Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Rockville, MD, USA
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Apurva Mallisetty
- Department of Surgery, Cancer Center, University of Illinois College of Medicine in Chicago, 909 South Wolcott Ave COMRB Suite 5140, Chicago, IL, 60612, USA
| | - Kristen Rodgers
- Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Beverly Lee
- Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Martha Menchaca
- Department of Radiology, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
| | - Mary Pasquinelli
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
| | - Ryan H Nguyen
- Department of Hematology Oncology, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
| | - Frank Weinberg
- Department of Hematology Oncology, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
| | - Israel Rubinstein
- Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
- Division of Research Services, Jesse Brown VA Medical Center, Chicago, IL, USA
| | - James G Herman
- Lung Cancer Program, University of Pittsburgh Cancer Institute, The Hillman Cancer Center, Pittsburgh, PA, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Malcolm Brock
- Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Lawrence Feldman
- Department of Hematology Oncology, University of Illinois College of Medicine in Chicago, Chicago, IL, USA
- Division of Research Services, Jesse Brown VA Medical Center, Chicago, IL, USA
| | - Melinda C Aldrich
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alicia Hulbert
- Department of Surgery, Cancer Center, University of Illinois College of Medicine in Chicago, 909 South Wolcott Ave COMRB Suite 5140, Chicago, IL, 60612, USA.
- Division of Research Services, Jesse Brown VA Medical Center, Chicago, IL, USA.
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA.
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Suresh T, LaPointe S, Lee JC, Nagy ZP, Shapiro DB, Kramer MR, Hipp HS, Gaskins AJ. Neighborhood deprivation in relation to ovarian reserve and outcomes of ovarian stimulation among oocyte donors. Fertil Steril 2024; 122:316-325. [PMID: 38461907 PMCID: PMC11283953 DOI: 10.1016/j.fertnstert.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/27/2024] [Accepted: 03/04/2024] [Indexed: 03/12/2024]
Abstract
OBJECTIVE To study the relationship between neighborhood deprivation index (NDI) and markers of ovarian reserve and outcomes of controlled ovarian stimulation among young, healthy oocyte donors. DESIGN Retrospective cohort study. PATIENTS A total of 547 oocyte donors who underwent 905 oocyte retrieval cycles (2008-2020) at a private fertility center in Sandy Springs, Georgia, United States. INTERVENTIONS Neighborhood deprivation index was calculated using principal component analysis applied to census-level measures of poverty, employment, household composition, and public assistance, which was then standardized and linked to donor information on the basis of donor residence. MAIN OUTCOME MEASURES Markers of ovarian reserve, including antral follicle count (AFC) and antimüllerian hormone (AMH) levels, and outcomes of controlled ovarian stimulation including number of total and mature oocytes retrieved and ovarian sensitivity index (OSI) (defined as the number of oocytes retrieved/total gonadotropin dose × 1,000). Multivariable generalized estimating equations with Poisson and normal distribution were used to model the relationship between NDI and outcome measures adjusting for age, body mass index, and year of retrieval. RESULTS The mean (SD) age of donors was 25.0 (2.8) years and 29% of the donors were racial or ethnic minorities. There were no associations between donor NDI and ovarian reserve markers. For every interquartile range increase in NDI, there was a reduction of -1.5% (95% confidence interval: -5.3% to 2.4%) in total oocytes retrieved although the effect estimate was imprecise. Associations of NDI with a number of mature oocytes retrieved and OSI were in a similar direction. We observed evidence for effect modification of the NDI and OSI association by donor race. There was a suggestive positive association between NDI and OSI in Black donors but no association in White donors. CONCLUSION In this cohort of young, healthy, racially diverse oocyte donors, we found little evidence of associations between NDI and markers of ovarian reserve or outcomes of ovarian stimulation.
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Affiliation(s)
- Tanvi Suresh
- Department of Epidemiology, Emory University Rollins School of Public Heath, Atlanta, Georgia
| | - Sarah LaPointe
- Department of Epidemiology, Emory University Rollins School of Public Heath, Atlanta, Georgia
| | - Jaqueline C Lee
- Division of Reproductive Endocrinology and Infertility, Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Zsolt P Nagy
- Reproductive Biology Associates, Sandy Springs, Georgia
| | | | - Michael R Kramer
- Department of Epidemiology, Emory University Rollins School of Public Heath, Atlanta, Georgia
| | - Heather S Hipp
- Division of Reproductive Endocrinology and Infertility, Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Audrey J Gaskins
- Department of Epidemiology, Emory University Rollins School of Public Heath, Atlanta, Georgia.
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Bonsel JM, Kodali H, Poeran J, Bonsel GJ. Socioeconomic, Patient, and Hospital Determinants for the Utilization of Peripheral Nerve Blocks in Total Joint Arthroplasty. Anesth Analg 2024:00000539-990000000-00873. [PMID: 39042570 DOI: 10.1213/ane.0000000000007107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
Abstract
BACKGROUND While peripheral nerve blocks (PNBs) are associated with various improved outcomes in patients undergoing total hip or knee arthroplasty (THA/TKA), disparities in PNB utilization have been reported. This study assessed the importance of socioeconomic, demographic, clinical, and hospital determinants in explaining PNB utilization using the population-attributable risk (PAR) framework. Subsequently, we examined the association between PNB use and 3 secondary outcomes: Centers for Medicare and Medicaid Services (CMS)-defined complications, 90-day all-cause readmissions, and length of stay >3 days. METHODS This retrospective cohort study included 52,926 THA and 94,795 TKA cases from the 5% 2012 to 2021 Medicare dataset. Mixed-effects logistic regression models measured the association between study variables and PNB utilization. Variables of interest were demographic (age, sex), clinical (outpatient setting, diagnosis, prior hospitalizations in the year before surgery, Deyo-Charlson index, obesity, (non)-opioid abuse, smoking), socioeconomic (neighborhood Social Deprivation Index, race and ethnicity) and hospital variables (beds, ownership, region, rurality, resident-to-bed ratio). The model was used for the calculation of variable-specific and variable category-specific PARs (presented in percentages), reflecting the proportion of variation in PNB use explained after eliminating variables (or groups of variables) of interest with all other factors held constant. Subsequently, regression models measured the association between PNB use and secondary outcomes. Associations are presented with odds ratios (ORs) and 95% confidence intervals (95% CIs). RESULTS Socioeconomic and demographic variables accounted for only a small proportion of variation in PNB use (up to 3% and 7%, respectively). Clinical (THA: 46%; TKA: 34%) and hospital variables (THA: 31%; TKA: 22%) were the primary drivers of variation. In THA, variation by clinical variables was driven by increased PNB use in the inpatient setting (OR, 1.28 [95% CI, 1.07-1.53]) and decreased use in patients with ≥2 prior hospitalizations (OR, 0.72 [95% CI, 0.57-0.90]). Moreover, nonosteoarthritis diagnoses associated with reduced PNB utilization in THA (OR, 0.64 [95% CI, 0.58-0.72]) and TKA (OR, 0.35 [95% CI, 0.34-0.37]).In TKA, PNB use was subsequently associated with fewer complications (OR, 0.82 [95% CI, 0.75-0.90]) and less prolonged length of stay (OR, 0.90 [95% CI, 0.86-0.95]); no association was found for readmissions (OR, 0.98 [95% CI, 0.93-1.03]). In THA, associations did not reach statistical significance. CONCLUSIONS Among THA and TKA patients on Medicare, large variations exist in the utilization of PNBs by clinical and hospital variables, while demographic and socioeconomic variables played a limited role. Given the consistent benefits of PNBs, particularly in TKA patients, more standardized provision may be warranted to mitigate the observed variation.
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Affiliation(s)
- Joshua M Bonsel
- From the Department of Orthopedics and Sports Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Hanish Kodali
- Department of Population Health and Policy, Icahn School of Medicine, Mount Sinai Hospital, New York, New York
| | - Jashvant Poeran
- Department of Population Health and Policy, Icahn School of Medicine, Mount Sinai Hospital, New York, New York
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Papastefan ST, Bian Y, Singh M, Marriott WS, Ito JA, Fry J, Shaaban AF, Premkumar A. Neighborhood deprivation is not associated with abortion consideration or completion in patients with fetal myelomeningocele. Prenat Diagn 2024. [PMID: 38982329 DOI: 10.1002/pd.6633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 06/06/2024] [Accepted: 07/02/2024] [Indexed: 07/11/2024]
Abstract
OBJECTIVE The objective of this study was to evaluate whether patient-level neighborhood deprivation index (NDI) was associated with termination of pregnancy consideration and completion in patients presenting with fetal myelomeningocele. METHODS This was a retrospective cohort analysis of patients with fetal myelomeningocele presenting to a fetal treatment center (FTC) in Illinois between 2018 and 2024. The exposure was NDI calculated from patient zip codes. The NDI was analyzed as both a dichotomous and ordinal exposure. The co-primary outcomes were abortion consideration prior to FTC consultation, ascertained by nurse intake, and abortion completion after consultation. Bivariate and log-binomial regression analyses were performed. Covariates were selected based on p < 0.10 on bivariate analyses. Otherwise, p < 0.05 indicated statistical significance. RESULTS A total of 157 participants were included. Evaluation of neighborhood deprivation as a dichotomous exposure revealed no association with abortion consideration or completion. AdditionallLy, no association was found on log binomial modeling after controlling for gestational age at presentation to the FTC and maternal race or ethnicity for abortion consideration (aRR 0.87, 95% CI 0.59-1.28) or completion (aRR 0.86, 95% CI 0.59-1.28). These results were similar when treating the NDI as an ordinal exposure. CONCLUSIONS Contrary to our hypothesis, NDI is not associated with abortion consideration or completion in patients with fetal myelomeningocele.
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Affiliation(s)
- Steven T Papastefan
- Division of Pediatric Surgery, The Chicago Institute for Fetal Health, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
- Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Yuqi Bian
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Department of Medical Humanities and Bioethics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Manmeet Singh
- Division of Pediatric Surgery, The Chicago Institute for Fetal Health, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - William S Marriott
- Division of Pediatric Surgery, The Chicago Institute for Fetal Health, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Joyceline A Ito
- Division of Pediatric Surgery, The Chicago Institute for Fetal Health, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Jessica Fry
- Neonatology and Palliative Care, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Aimen F Shaaban
- Division of Pediatric Surgery, The Chicago Institute for Fetal Health, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
- Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Ashish Premkumar
- Department of Obstetrics and Gynecology, Section of Maternal Fetal Medicine, Pritzker School of Medicine at the University of Chicago, Chicago, Illinois, USA
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Li Y, Menon G, Kim B, Clark-Cutaia MN, Long JJ, Metoyer GT, Mohottige D, Strauss AT, Ghildayal N, Quint EE, Wu W, Segev DL, McAdams-DeMarco MA. Components of Residential Neighborhood Deprivation and Their Impact on the Likelihood of Live-Donor and Preemptive Kidney Transplantation. Clin Transplant 2024; 38:e15382. [PMID: 38973768 PMCID: PMC11232925 DOI: 10.1111/ctr.15382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 05/30/2024] [Accepted: 06/05/2024] [Indexed: 07/09/2024]
Abstract
INTRODUCTION Adults residing in deprived neighborhoods face various socioeconomic stressors, hindering their likelihood of receiving live-donor kidney transplantation (LDKT) and preemptive kidney transplantation (KT). We quantified the association between residential neighborhood deprivation index (NDI) and the likelihood of LDKT/preemptive KT, testing for a differential impact by race and ethnicity. METHODS We studied 403 937 adults (age ≥ 18) KT candidates (national transplant registry; 2006-2021). NDI and its 10 components were averaged at the ZIP-code level. Cause-specific hazards models were used to quantify the adjusted hazard ratio (aHR) of LDKT and preemptive KT across tertiles of NDI and its 10 components. RESULTS Candidates residing in high-deprivation neighborhoods were more likely to be female (40.1% vs. 36.2%) and Black (41.9% vs. 17.7%), and were less likely to receive both LDKT (aHR = 0.66, 95% confidence interval [CI]: 0.64-0.67) and preemptive KT (aHR = 0.60, 95% CI: 0.59-0.62) than those in low-deprivation neighborhoods. These associations differedby race and ethnicity (Black: aHRLDKT = 0.58, 95% CI: 0.55-0.62; aHRpreemptive KT = 0.68, 95% CI: 0.63-0.73; Pinteractions: LDKT < 0.001; Preemptive KT = 0.002). All deprivation components were associated with the likelihood of both LDKT and preemptive KT (except median home value): for example, higher median household income (LDKT: aHR = 1.08, 95% CI: 1.07-1.09; Preemptive KT: aHR = 1.10, 95% CI: 1.08-1.11) and educational attainments (≥high school [LDKT: aHR = 1.17, 95% CI: 1.15-1.18; Preemptive KT: aHR = 1.23, 95% CI: 1.21-1.25]). CONCLUSION Residence in socioeconomically deprived neighborhoods is associated with a lower likelihood of LDKT and preemptive KT, differentially impacting minority candidates. Identifying and understanding which neighborhood-level socioeconomic status contributes to these racial disparities can be instrumental in tailoring interventions to achieve health equity in LDKT and preemptive KT.
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Affiliation(s)
- Yiting Li
- Department of Surgery, New York University Grossman School of Medicine, New York, New York, USA
| | - Gayathri Menon
- Department of Surgery, New York University Grossman School of Medicine, New York, New York, USA
| | - Byoungjun Kim
- Department of Surgery, New York University Grossman School of Medicine, New York, New York, USA
- Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA
| | - Maya N Clark-Cutaia
- Rory Meyers College of Nursing, New York University, New York, New York, USA
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA
| | - Jane J Long
- Department of Surgery, New York University Grossman School of Medicine, New York, New York, USA
| | - Garyn T Metoyer
- Department of Surgery, New York University Grossman School of Medicine, New York, New York, USA
| | - Dinushika Mohottige
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Alexandra T Strauss
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Nidhi Ghildayal
- Department of Surgery, New York University Grossman School of Medicine, New York, New York, USA
| | - Evelien E Quint
- Division of Transplant Surgery, Department of Surgery, University Medical Center Groningen, Groningen, The Netherlands
| | - Wenbo Wu
- Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA
- Department of Medicine, New York University Grossman School of Medicine, New York, New York, USA
| | - Dorry L Segev
- Department of Surgery, New York University Grossman School of Medicine, New York, New York, USA
- Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA
| | - Mara A McAdams-DeMarco
- Department of Surgery, New York University Grossman School of Medicine, New York, New York, USA
- Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA
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Li Y, Menon G, Long JJ, Chen Y, Metoyer GT, Wu W, Crews DC, Purnell TS, Thorpe RJ, Hill CV, Szanton SL, Segev DL, McAdams-DeMarco MA. Neighborhood Racial and Ethnic Segregation and the Risk of Dementia in Older Adults Living with Kidney Failure. J Am Soc Nephrol 2024; 35:936-948. [PMID: 38671538 PMCID: PMC11230717 DOI: 10.1681/asn.0000000000000359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 04/22/2024] [Indexed: 04/28/2024] Open
Abstract
Key Points
Regardless of race and ethnicity, older adults with kidney failure residing in or receiving care at dialysis facilities located in high-segregation neighborhoods were at a 1.63-fold and 1.53-fold higher risk of dementia diagnosis, respectively.Older adults with kidney failure residing in minority-predominant high-segregation neighborhoods had a 2.19-fold higher risk of dementia diagnosis compared with White individuals in White-predominant neighborhoods.
Background
Dementia disproportionately affects older minoritized adults with kidney failure. To better understand the mechanism of this disparity, we studied the role of racial and ethnic segregation (segregation hereafter), i.e., a form of structural racism recently identified as a mechanism in numerous other health disparities.
Methods
We identified 901,065 older adults (aged ≥55 years) with kidney failure from 2003 to 2019 using the United States Renal Data System. We quantified dementia risk across tertiles of residential neighborhood segregation score using cause-specific hazard models, adjusting for individual- and neighborhood-level factors. We included an interaction term to quantify the differential effect of segregation on dementia diagnosis by race and ethnicity.
Results
We identified 79,851 older adults with kidney failure diagnosed with dementia between 2003 and 2019 (median follow-up: 2.2 years). Compared with those in low-segregation neighborhoods, older adults with kidney failure in high-segregation neighborhoods had a 1.63-fold (95% confidence interval [CI], 1.60 to 1.66) higher risk of dementia diagnosis, an association that differed by race and ethnicity (Asian: adjusted hazard ratio [aHR] = 1.26, 95% CI, 1.15 to 1.38; Black: aHR = 1.66, 95% CI, 1.61 to 1.71; Hispanic: aHR = 2.05, 95% CI, 1.93 to 2.18; White: aHR = 1.59, 95% CI, 1.55 to 1.64; P
interaction < 0.001). Notably, older Asian (aHR = 1.76; 95% CI, 1.64 to 1.89), Black (aHR = 2.65; 95% CI, 2.54 to 2.77), Hispanic (aHR = 2.15; 95% CI, 2.04 to 2.26), and White (aHR = 2.20; 95% CI, 2.09 to 2.31) adults with kidney failure residing in minority-predominant high-segregation neighborhoods had a higher risk of dementia diagnosis compared with older White adults with kidney failure in White-predominant high-segregation neighborhoods. Moreover, older adults with kidney failure receiving care at dialysis facilities located in high-segregation neighborhoods also experienced a higher risk of dementia diagnosis (aHR = 1.53; 95% CI, 1.50 to 1.56); this association differed by race and ethnicity (P
interaction < 0.001).
Conclusions
Residing in or receiving care at dialysis facilities located in high-segregation neighborhoods was associated with a higher risk of dementia diagnosis among older individuals with kidney failure, particularly minoritized individuals.
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Affiliation(s)
- Yiting Li
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Gayathri Menon
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Jane J Long
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Yusi Chen
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Garyn T Metoyer
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
| | - Wenbo Wu
- Department of Medicine, New York University Grossman School of Medicine, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
| | - Deidra C Crews
- Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Tanjala S Purnell
- Division of Transplantation, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Health Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Roland J Thorpe
- Department of Health Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Sarah L Szanton
- Johns Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Johns Hopkins University School of Nursing, Baltimore, Maryland
| | - Dorry L Segev
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
| | - Mara A McAdams-DeMarco
- Department of Surgery, New York University Grossman School of Medicine, New York, New York
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
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Ruiz J, Li Y, Cao L, Huang YSV, Tam V, Griffis HM, Winestone LE, Fisher BT, Alonzo TA, Wang YCJ, Dang AT, Kolb EA, Glanz K, Getz KD, Aplenc R, Seif AE. Association of the social disorganization index with time to first septic shock event in children with acute myeloid leukemia. Cancer 2024; 130:962-972. [PMID: 37985388 PMCID: PMC10922804 DOI: 10.1002/cncr.35109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/19/2023] [Accepted: 10/09/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Pediatric acute myeloid leukemia (AML) chemotherapy increases the risk of life-threatening complications, including septic shock (SS). An area-based measure of social determinants of health, the social disorganization index (SDI), was hypothesized to be associated with SS and SS-associated death (SS-death). METHODS Children treated for de novo AML on two Children's Oncology Group trials at institutions contributing to the Pediatric Health Information System (PHIS) database were included. The SDI was calculated via residential zip code data from the US Census Bureau. SS was identified via PHIS resource utilization codes. SS-death was defined as death within 2 weeks of an antecedent SS event. Patients were followed from 7 days after the start of chemotherapy until the first of end of front-line therapy, death, relapse, or removal from study. Multivariable-adjusted Cox regressions estimated hazard ratios (HRs) comparing time to first SS by SDI group. RESULTS The assembled cohort included 700 patients, with 207 (29.6%) sustaining at least one SS event. There were 233 (33%) in the SDI-5 group (highest disorganization). Adjusted time to incident SS did not statistically significantly differ by SDI (reference, SDI-1; SDI-2: HR, 0.84 [95% confidence interval (CI), 0.51-1.41]; SDI-3: HR, 0.70 [95% CI, 0.42-1.16]; SDI-4: HR, 0.97 [95% CI, 0.61-1.53]; SDI-5: HR, 0.72 [95% CI, 0.45-1.14]). Nine patients (4.4%) with SS experienced SS-death; seven of these patients (78%) were in SDI-4 or SDI-5. CONCLUSIONS In a large, nationally representative cohort of trial-enrolled pediatric patients with AML, there was no significant association between the SDI and time to SS.
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Affiliation(s)
- Jenny Ruiz
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yimei Li
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Lusha Cao
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Yuan-Shung V Huang
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Vicky Tam
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Heather M Griffis
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Lena E Winestone
- Division of Allergy, Immunology, and Bone Marrow Transplantation, Benioff Children's Hospital, University of California San Francisco, San Francisco, California, USA
| | - Brian T Fisher
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Division of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Todd A Alonzo
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | | | - Alice T Dang
- Public Health Institute, Monrovia, California, USA
| | - E Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Nemours Children's Health, Wilmington, Delaware, USA
| | - Karen Glanz
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kelly D Getz
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Richard Aplenc
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alix E Seif
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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8
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Beauchamp AM, Shen GC, Hussain SH, Adam A, Highfield L, Zhang K. Cultural context index: A geospatial measure of social determinants of health in the United States. SSM Popul Health 2024; 25:101591. [PMID: 38283545 PMCID: PMC10820261 DOI: 10.1016/j.ssmph.2023.101591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/22/2023] [Accepted: 12/24/2023] [Indexed: 01/30/2024] Open
Abstract
Minority populations will continue to grow in the United States. Such pluralism necessitates iterative, geospatial measurements of cultural contexts. Our objective in this study was to create a measure of social determinants of health in geographic areas with varying ethnic, linguistic, and religious diversity in the United States. We extracted geographic information systems data based on community characteristics that have known associations with population health disparities from 2015 to 2019. We used principal component analysis to construct a Cultural Context Index (CCI). We created the CCI for 73,682 census tracts across 50 states and five inhabited territories. We identified hot and cold spots that are the highest and lowest CCI quintile, respectively. Hot spots census tracts were mostly located in metropolitan areas (84.8%), in the Southern census region (41.5%), and also had larger Black and Hispanic populations. The census tracts with the greatest need for culturally competent health care also had the sickest populations. Census tracts with a CCI rank of 5 ('greatest need') had higher prevalences of self-reported poor physical health (17.2%) and poor mental health (17.4%), compared to either the general population (13.9% and 14.5%) or to CCI rank of 1 ('lowest need') (11.9% and 10.8%). The CCI can pinpoint census tracts with a need for culturally competent health care and inform supply-side policy planning as healthcare and social service providers will inevitably come in contact with consumers from different backgrounds.
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Affiliation(s)
- Alaina M. Beauchamp
- The University of Texas Health Science Center at Houston School of Public Health, Department of Epidemiology, Human Genetics, and Environmental Sciences, Dallas, TX, USA
- UT Southwestern Medical Center, O'Donnell School of Public Health, Dallas, TX, USA
| | - Gordon C. Shen
- The University of Texas Health Science Center at Houston School of Public Health, Department of Management, Policy, and Community Health, Houston, TX, USA
| | - Syed H. Hussain
- The University of Texas Health Science Center at Houston School of Public Health, Department of Management, Policy, and Community Health, Houston, TX, USA
| | - Atif Adam
- John Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Linda Highfield
- The University of Texas Health Science Center at Houston School of Public Health, Department of Management, Policy, and Community Health, Houston, TX, USA
| | - Kai Zhang
- University at Albany, State University of New York School of Public Health, Department of Environmental Health Sciences, Rensselaer, NY, USA
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9
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Snyder BM, Achten NB, Gebretsadik T, Wu P, Mitchel EF, Escobar G, Bont LJ, Hartert TV. Personalized Infant Risk Prediction for Severe Respiratory Syncytial Virus Lower Respiratory Tract Infection Requiring Intensive Care Unit Admission. Open Forum Infect Dis 2024; 11:ofae077. [PMID: 38481426 PMCID: PMC10932939 DOI: 10.1093/ofid/ofae077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 02/05/2024] [Indexed: 03/28/2024] Open
Abstract
Background Currently, there are no available tools to identify infants at the highest risk of significant morbidity and mortality from respiratory syncytial virus (RSV) lower respiratory tract infection (LRTI) who would benefit most from RSV prevention products. The objective was to develop and internally validate a personalized risk prediction tool for use among all newborns that uses readily available birth/postnatal data to predict RSV LRTI requiring intensive care unit (ICU) admission. Methods We conducted a population-based birth cohort study of infants born from 1995 to 2007, insured by the Tennessee Medicaid Program, and who did not receive RSV immunoprophylaxis during the first year of life. The primary outcome was severe RSV LRTI requiring ICU admission during the first year of life. We built a multivariable logistic regression model including demographic and clinical variables available at or shortly after birth to predict the primary outcome. Results In a population-based sample of 429 365 infants, 713 (0.2%) had severe RSV LRTI requiring ICU admission. The median age of admission was 66 days (interquartile range, 37-120). Our tool, including 19 variables, demonstrated good predictive accuracy (area under the curve, 0.78; 95% confidence interval, 0.77-0.80) and identified infants who did not qualify for palivizumab, based on American Academy of Pediatrics guidelines, but had higher predicted risk levels than infants who qualified (27% of noneligible infants with >0.16% predicted probabilities [lower quartile for eligible infants]). Conclusions We developed a personalized tool that identified infants at increased risk for severe RSV LRTI requiring ICU admission, expected to benefit most from immunoprophylaxis.
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Affiliation(s)
- Brittney M Snyder
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Niek B Achten
- Department of Pediatrics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Tebeb Gebretsadik
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Pingsheng Wu
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Edward F Mitchel
- Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Gabriel Escobar
- Division of Research, Kaiser Permanente, Oakland, California, USA
| | - Louis J Bont
- Department of Pediatrics, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Tina V Hartert
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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10
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Shapiro WL, Kunani P, Sidell MA, Li X, Anderson SR, Slezak JM, Koebnick C, Schwimmer JB. Prevalence of Adolescents Meeting Criteria for Metabolic and Bariatric Surgery. Pediatrics 2024; 153:e2023063916. [PMID: 38410833 DOI: 10.1542/peds.2023-063916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/26/2023] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND AND OBJECTIVES The American Academy of Pediatrics endorses metabolic and bariatric surgery (MBS) as a safe and effective treatment of severe obesity in children with class 3 obesity or with class 2 obesity and qualifying comorbidities. The study objective was to determine eligibility and characteristics of adolescents who qualify for MBS based on American Academy of Pediatrics guidelines. METHODS This retrospective cohort study analyzed electronic health record data of 603 051 adolescents aged 13 to 17 years between January 1, 2018, and December 31, 2021. Centers for Disease Control and Prevention criteria were used to define obesity classes 2 and 3. Multivariable logistic regression was used to evaluate the factors associated with meeting MBS eligibility criteria. RESULTS Of the 603 041 adolescents evaluated, 22.2% had obesity (12.9% class 1, 5.4% class 2, and 3.9% class 3). The most frequently diagnosed comorbid conditions were gastroesophageal reflux disease (3.2%), hypertension (0.5%), and nonalcoholic fatty liver disease (0.5%). Among adolescents with class 2 obesity, 9.1% had 1 or more comorbidities qualifying for MBS, and 4.4% of all adolescents met the eligibility criteria for MBS. In multivariable modeling, males, Black and Hispanic adolescents, and those living in more deprived neighborhoods were more likely to meet MBS eligibility criteria. CONCLUSIONS Overall, 1 in 23 adolescents met the eligibility criteria for MBS. Demographic and social determinants were associated with a higher risk for meeting these criteria. The study suggests that the health care system may face challenges in accommodating the demand for MBS among eligible adolescents.
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Affiliation(s)
- Warren L Shapiro
- Department of Pediatrics, Southern California Permanente Medical Group, San Diego, California
- Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, University of California, San Diego School of Medicine, San Diego, California
- Department of Gastroenterology, Rady Children's Hospital, San Diego, California
| | - Poornima Kunani
- Department of Pediatrics, Kaiser Permanente South Bay Medical Center, Southern California Permanente Medical Group, Manhattan Beach, California
| | - Margo A Sidell
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Xia Li
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Sabina R Anderson
- Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, University of California, San Diego School of Medicine, San Diego, California
- Amherst College, Amherst, Massachusetts
| | - Jeffrey M Slezak
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Corinna Koebnick
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Jeffrey B Schwimmer
- Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, University of California, San Diego School of Medicine, San Diego, California
- Department of Gastroenterology, Rady Children's Hospital, San Diego, California
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11
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Skiba MB, Lind KE, Felion CM, Krupnik C, Segrin C. Connected Community Classification (C3): Development, Validation, and Geospatial Application for Population Health Promotion and Equity. JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE 2024; 30:E74-E83. [PMID: 38271113 DOI: 10.1097/phh.0000000000001852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
CONTEXT Social determinants of health (SDOH) impact population health. Leveraging community-level strengths related to SDOH through a social infrastructure perspective can optimize health behaviors and health outcomes to promote health equity. OBJECTIVE Our aims were to develop, validate, and apply the Connected Community Classification (C3) as comprehensive community-level measure of protective SDOH and structural factors in the Four Corners states region of the United States. DESIGN C3 was developed using an iterative principal component analysis of publicly available data mapped to 5 SDOH domains. Regional clustering of C3 by zip code tabulation area (ZCTA) was identified using spatial autocorrelation methods. MAIN OUTCOMES In adjusted spatial autoregressive models, we analyzed the association of C3 with high-risk health behaviors and chronic disease prevalence using publicly available data for population-level estimates of fruit and vegetable intake, physical activity, obesity, smoking, alcohol use, coronary heart disease (CHD), diabetes, and cancer. RESULTS C3 was found to be reliable and valid; a C3 value of 10 indicates communities with greater connection (high), while a value of 1 indicates communities with greater separation (low) to social infrastructure. Lower connection, as measured by C3, was significantly inversely associated with lower fruit and vegetable intake, lower physical activity, and higher rates of obesity, smoking, CHD, diabetes, and cancer. C3 was significantly positively associated with heavy alcohol use. CONCLUSIONS These findings demonstrate that communities connected to social infrastructure have better population health outcomes. C3 captures protective community attributes and can be used in future applications to assist health researchers, practitioners, nonprofits, and policymakers to advance social connection and health equity in geographically diverse underserved regions.
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Affiliation(s)
- Meghan B Skiba
- Advanced Nursing Practice and Science Division, College of Nursing (Dr Skiba and Ms Felion), University of Arizona Cancer Center (Drs Skiba and Lind), Department of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health (Dr Lind), Department of Mining and Geological Engineering, College of Engineering (Mr Krupnik), and Department of Communication, College of Social and Behavioral Sciences (Dr Segrin), University of Arizona, Tucson, Arizona
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12
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Smith RB, Baird MD, Hunter GP, Ghosh-Dastidar B, Richardson AS, Cantor JH, Dubowitz T. Do Publicly Funded Neighborhood Investments Impact Individual-Level Health-Related Outcomes? A Longitudinal Study of Two Neighborhoods in Pittsburgh, PA from 2011 to 2018. HOUSING POLICY DEBATE 2024; 34:489-507. [PMID: 39157451 PMCID: PMC11328983 DOI: 10.1080/10511482.2024.2309952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 01/18/2024] [Accepted: 01/20/2024] [Indexed: 08/20/2024]
Abstract
Research examining the relationship between a neighborhood's built-environment and resident health or health-related outcomes has largely either focused on static characteristics using a cross-sectional research design or focuses on the neighborhood in its entirety. Such an approach makes it difficult to understand how specific dynamic neighborhood characteristics are associated with individual well-being. In this analysis, we use longitudinal data from the Pittsburgh Research on Neighborhood Change and Health (PHRESH) studies to assess the relationship between publicly funded neighborhood investments occurring across seven years (2011-2018) on five health-related outcomes: food insecurity, stress, perceived neighborhood safety, neighborhood satisfaction, and dietary quality. We additionally utilize this dataset to determine whether the distance between an individual's place of residence and the investment, as measured at the neighborhood, 1 mile, and ½ mile level, effects the magnitude of associations. Using individual and year fixed effects models, we find that when measured at the neighborhood level, a one standard deviation increase in investments (about $130 million dollars) is associated with decreased food insecurity (-0.294 sd), increased safety (0.231 sd), and increased neighborhood satisfaction (0.201 sd) among adults who remain in the study for at least two waves of data collection. We also analyze specific investment types and find that commercial investments are largely driving the changes in food insecurity, safety, and neighborhood satisfaction, while business investments are correlated with the decrease in stress. We find no relationship between investments and dietary quality.
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Affiliation(s)
- Rebecca B. Smith
- Sol Price School of Public Policy, University of Southern California, Los Angeles, United States
| | - Matthew D. Baird
- Department of Economics, Sociology, and Statistics, RAND Corporation, Pittsburgh, PA, USA
| | | | - Bonnie Ghosh-Dastidar
- Department of Economics, Sociology, and Statistics, RAND Corporation, Pittsburgh, PA, USA
| | - Andrea S. Richardson
- Department of Behavioral and Policy Sciences, RAND Corporation, Pittsburgh, PA, USA
| | - Jonathan H. Cantor
- Department of Behavioral and Policy Sciences, RAND Corporation, Santa Monica, CA, USA
| | - Tamara Dubowitz
- Department of Behavioral and Policy Sciences, RAND Corporation, Pittsburgh, PA, USA
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13
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Alphonso SR, Andrews MR, Regan SD, Shishkov A, Cantor JH, Powell-Wiley TM, Tamura K. Geospatially clustered low COVID-19 vaccine rates among adolescents in socially vulnerable US counties. Prev Med Rep 2024; 37:102545. [PMID: 38186659 PMCID: PMC10767486 DOI: 10.1016/j.pmedr.2023.102545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024] Open
Abstract
COVID-19 vaccinations are widely available across the United States (U.S.), yet little is known about the spatial clustering of COVID-19 vaccinations. This study aimed to test for geospatial clustering of COVID-19 vaccine rates among adolescents aged 12-17 across the U.S. counties and to compare these clustering patterns by sociodemographic characteristics. County-level data on COVID-19 vaccinations and sociodemographic characteristics were obtained from the COVID-19 Community Profile Report up to April 14, 2022. A total of 3,108 counties were included in the analysis. Global Moran's I statistic and Anselin Local Moran's analysis were used, and clustering patterns were compared to sociodemographic variables using t-tests. Counties with low COVID-19 vaccinated clusters were more likely, when compared to unclustered counties, to have higher numbers of individuals in poverty and uninsured individuals, and higher values of Social Vulnerability Index (SVI) and COVID-19 Community Vulnerability Index (CCVI). While high COVID-19 vaccinated clusters, compared to neighboring counties, had lower numbers of Black population, individuals in poverty, and uninsured individuals, and lower values of SVI and CCVI, but a higher number of Hispanic population. This study emphasizes the importance of addressing systemic barriers, such as poverty and lack of health insurance, which were found to be associated with low COVID-19 vaccination coverage.
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Affiliation(s)
- Sophie R. Alphonso
- Socio-Spatial Determinants of Health (SSDH) Laboratory, Population and Community Health Sciences Branch, Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Marcus R. Andrews
- Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Seann D. Regan
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Alyssa Shishkov
- Socio-Spatial Determinants of Health (SSDH) Laboratory, Population and Community Health Sciences Branch, Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | | | - Tiffany M. Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Kosuke Tamura
- Socio-Spatial Determinants of Health (SSDH) Laboratory, Population and Community Health Sciences Branch, Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
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14
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Uong SP, Zhou J, Lovinsky-Desir S, Albrecht SS, Azan A, Chambers EC, Sheffield PE, Thompson A, Wilson J, Woo Baidal J, Stingone JA. The Creation of a Multidomain Neighborhood Environmental Vulnerability Index Across New York City. J Urban Health 2023; 100:1007-1023. [PMID: 37594675 PMCID: PMC10618140 DOI: 10.1007/s11524-023-00766-3] [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: 06/19/2023] [Indexed: 08/19/2023]
Abstract
Compared to previous studies commonly using a single summary score, we aimed to construct a multidomain neighborhood environmental vulnerability index (NEVI) to characterize the magnitude and variability of area-level factors with the potential to modify the association between environmental pollutants and health effects. Using the Toxicological Prioritization Index framework and data from the 2015-2019 U.S. Census American Community Survey and the 2020 CDC PLACES Project, we quantified census tract-level vulnerability overall and in 4 primary domains (demographic, economic, residential, and health status), 24 subdomains, and 54 distinct area-level features for New York City (NYC). Overall and domain-specific indices were calculated by summing standardized feature values within the subdomains and then aggregating and weighting based on the number of features within each subdomain within equally-weighted primary domains. In citywide comparisons, NEVI was correlated with multiple existing indices, including the Neighborhood Deprivation Index (r = 0.91) and Social Vulnerability Index (r = 0.87) but provided additional information on features contributing to vulnerability. Vulnerability varied spatially across NYC, and hierarchical cluster analysis using subdomain scores revealed six patterns of vulnerability across domains: 1) low in all, 2) primarily low except residential, 3) medium in all, 4) high demographic, economic, and residential 5) high economic, residential, and health status, and 6) high demographic, economic and health status. Created using methods that offer flexibility for theory-based construction, NEVI provided detailed vulnerability metrics across domains that can inform targeted research and public health interventions aimed at reducing the health impacts from environmental exposures across urban centers.
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Affiliation(s)
- Stephen P Uong
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, Room 1608, New York, NY, 10032, USA
| | - Jiayi Zhou
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, Room 1608, New York, NY, 10032, USA
| | - Stephanie Lovinsky-Desir
- Department of Pediatrics New York, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Sandra S Albrecht
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, Room 1608, New York, NY, 10032, USA
| | - Alexander Azan
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Earle C Chambers
- Department of Family and Social Medicine Bronx, Albert Einstein College of Medicine, New York, NY, USA
| | - Perry E Sheffield
- Department of Environmental Medicine and Public Health New York, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Azure Thompson
- School of Public Health Brooklyn, SUNY Downstate Health Sciences University New York, New York, NY, USA
| | - Joseph Wilson
- Department of Environmental Medicine and Public Health New York, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jennifer Woo Baidal
- Department of Pediatrics New York, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Jeanette A Stingone
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, Room 1608, New York, NY, 10032, USA.
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15
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Baumer Y, Pita MA, Turner BS, Baez AS, Ortiz-Whittingham LR, Gutierrez-Huerta CA, Neally SJ, Farmer N, Mitchell VM, Collins BS, Powell-Wiley TM. Neighborhood socioeconomic deprivation and individual-level socioeconomic status are associated with dopamine-mediated changes to monocyte subset CCR2 expression via a cAMP-dependent pathway. Brain Behav Immun Health 2023; 30:100640. [PMID: 37251548 PMCID: PMC10220312 DOI: 10.1016/j.bbih.2023.100640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 05/12/2023] [Indexed: 05/31/2023] Open
Abstract
Social determinants of health (SDoH) include socioeconomic, environmental, and psychological factors that impact health. Neighborhood socioeconomic deprivation (NSD) and low individual-level socioeconomic status (SES) are SDoH that associate with incident heart failure, stroke, and cardiovascular mortality, but the underlying biological mechanisms are not well understood. Previous research has demonstrated an association between NSD, in particular, and key components of the neural-hematopoietic-axis including amygdala activity as a marker of chronic stress, bone marrow activity, and arterial inflammation. Our study further characterizes the role of NSD and SES as potential sources of chronic stress related to downstream immunological factors in this stress-associated biologic pathway. We investigated how NSD, SES, and catecholamine levels (as proxy for sympathetic nervous system activation) may influence monocytes which are known to play a significant role in atherogenesis. First, in an ex vivo approach, we treated healthy donor monocytes with biobanked serum from a community cohort of African Americans at risk for CVD. Subsequently, the treated monocytes were subjected to flow cytometry for characterization of monocyte subsets and receptor expression. We determined that NSD and serum catecholamines (namely dopamine [DA] and norepinephrine [NE]) associated with monocyte C-C chemokine receptor type 2 (CCR2) expression (p < 0.05), a receptor known to facilitate recruitment of monocytes towards arterial plaques. Additionally, NSD associated with catecholamine levels, especially DA in individuals of low SES. To further explore the potential role of NSD and the effects of catecholamines on monocytes, monocytes were treated in vitro with epinephrine [EPI], NE, or DA. Only DA increased CCR2 expression in a dose-dependent manner (p < 0.01), especially on non-classical monocytes (NCM). Furthermore, linear regression analysis between D2-like receptor surface expression and surface CCR2 expression suggested D2-like receptor signaling in NCM. Indicative of D2-signaling, cAMP levels were found to be lower in DA-treated monocytes compared to untreated controls (control 29.78 pmol/ml vs DA 22.97 pmol/ml; p = 0.038) and the impact of DA on NCM CCR2 expression was abrogated by co-treatment with 8-CPT, a cAMP analog. Furthermore, Filamin A (FLNA), a prominent actin-crosslinking protein, that is known to regulate CCR2 recycling, significantly decreased in DA-treated NCM (p < 0.05), indicating a reduction of CCR2 recycling. Overall, we provide a novel immunological mechanism, driven by DA signaling and CCR2, for how NSD may contribute to atherogenesis. Future studies should investigate the importance of DA in CVD development and progression in populations disproportionately experiencing chronic stress due to SDoH.
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Affiliation(s)
- Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mario A. Pita
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Briana S. Turner
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrew S. Baez
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lola R. Ortiz-Whittingham
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Cristhian A. Gutierrez-Huerta
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sam J. Neally
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nicole Farmer
- Translational Biobehavioral and Health Disparities Branch, National Institutes of Health, Clinical Center, Bethesda, MD, USA
| | - Valerie M. Mitchell
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Billy S. Collins
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tiffany M. Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
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Chugh HS, Sargsyan A, Nakamura K, Uy-Evanado A, Dizon B, Norby FL, Young C, Hadduck K, Jui J, Shepherd D, Salvucci A, Chugh SS, Reinier K. Sudden cardiac arrest during the COVID-19 pandemic: A two-year prospective evaluation in a North American community. Heart Rhythm 2023; 20:947-955. [PMID: 36965652 PMCID: PMC10035806 DOI: 10.1016/j.hrthm.2023.03.025] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 03/03/2023] [Accepted: 03/19/2023] [Indexed: 03/27/2023]
Abstract
BACKGROUND Early during the coronavirus disease 2019 (COVID-19) pandemic, higher sudden cardiac arrest (SCA) incidence and lower survival rates were reported. However, ongoing effects on SCA during the evolving pandemic have not been evaluated. OBJECTIVE The purpose of this study was to assess the impact of COVID-19 on SCA during 2 years of the pandemic. METHODS In a prospective study of Ventura County, California (2020 population 843,843; 44.1% Hispanic), we compared SCA incidence and outcomes during the first 2 years of the COVID-19 pandemic to the prior 4 years. RESULTS Of 2222 out-of-hospital SCA cases identified, 907 occurred during the pandemic (March 2020 to February 2022) and 1315 occurred prepandemic (March 2016 to February 2020). Overall age-standardized annual SCA incidence increased from 39 per 100,000 (95% confidence [CI] 37-41) prepandemic to 54 per 100,000 (95% CI 50-57; P <.001) during the pandemic. Among Hispanics, incidence increased by 77%, from 38 per 100,000 (95% CI 34-43) to 68 per 100,000 (95% CI 60-76; P <.001). Among non-Hispanics, incidence increased by 26%, from 39 per 100,000 (95% CI 37-42; P <.001) to 50 per 100,000 (95% CI 46-54). SCA incidence rates closely tracked COVID-19 infection rates. During the pandemic, SCA survival was significantly reduced (15% to 10%; P <.001), and Hispanics were less likely than non-Hispanics to receive bystander cardiopulmonary resuscitation (45% vs 55%; P = .005) and to present with shockable rhythm (15% vs 24%; P = .003). CONCLUSION Overall SCA rates remained consistently higher and survival outcomes consistently lower, with exaggerated effects during COVID infection peaks. This longer evaluation uncovered higher increases in SCA incidence among Hispanics, with worse resuscitation profiles. Potential ethnicity-specific barriers to acute SCA care warrant urgent evaluation and intervention.
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Affiliation(s)
- Harpriya S Chugh
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | - Arayik Sargsyan
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | - Kotoka Nakamura
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | - Audrey Uy-Evanado
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | - Bernadine Dizon
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | - Faye L Norby
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California
| | | | - Katy Hadduck
- Ventura County Health Care Agency, Ventura, California
| | - Jonathan Jui
- Department of Emergency Medicine, Oregon Health and Science University, Portland, Oregon
| | | | | | - Sumeet S Chugh
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California.
| | - Kyndaron Reinier
- Center for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, California.
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Mamudu HM, Adzrago D, Dada O, Odame EA, Ahuja M, Awasthi M, Weierbach FM, Williams F, Stewart DW, Paul TK. Examining Disparities in Current E-Cigarette Use among U.S. Adults before and after the WHO Declaration of the COVID-19 Pandemic in March 2020. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5649. [PMID: 37174168 PMCID: PMC10177985 DOI: 10.3390/ijerph20095649] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/14/2023] [Accepted: 04/18/2023] [Indexed: 05/15/2023]
Abstract
This paper aims to estimate the prevalence of e-cigarette use before and after the COVID-19 pandemic declaration and to delineate disparities in use across subpopulations. Data were derived from the 2020 Health Information National Trends Survey (N = 3865) to conduct weighted multivariable logistic regression and marginal analyses. The overall prevalence of current e-cigarette use increased from 4.79% to 8.63% after the COVID-19 pandemic declaration. Furthermore, non-Hispanic Black people and Hispanic people had lower odds of current e-cigarette use than non-Hispanic White people, but no significant differences were observed between groups before the pandemic. Compared to heterosexual participants, sexual minority (SM) participants had higher odds of current e-cigarette use after the declaration, with insignificant differences before. People who had cardiovascular disease conditions, relative to those without, had higher odds of current e-cigarette use after the declaration, but no group differences were found before the declaration. The marginal analyses showed that before and after the pandemic declaration, SM individuals had a significantly higher probability of using e-cigarettes compared to heterosexual individuals. These findings suggest the importance of adopting a subpopulation approach to understand and develop initiatives to address substance use, such as e-cigarettes, during pandemics and other public health emergencies.
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Affiliation(s)
- Hadii M. Mamudu
- College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA; (M.A.); (M.A.)
- Center for Cardiovascular Risk Research, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA; (F.M.W.); (D.W.S.); (T.K.P.)
| | - David Adzrago
- Center for Health Promotion and Prevention Research and School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA;
| | - Oluwabunmi Dada
- Department of Occupational Safety and Health, Murray State University, 157 Industry and Technology Center, Murray, KY 42071, USA;
| | - Emmanuel A. Odame
- Department of Environmental Health Sciences, Ryals Public Health Building (RPHB), University of Alabama at Birmingham, 1665 University Boulevard, Birmingham, AL 35233, USA;
| | - Manik Ahuja
- College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA; (M.A.); (M.A.)
- Center for Cardiovascular Risk Research, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA; (F.M.W.); (D.W.S.); (T.K.P.)
| | - Manul Awasthi
- College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA; (M.A.); (M.A.)
- Center for Cardiovascular Risk Research, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA; (F.M.W.); (D.W.S.); (T.K.P.)
| | - Florence M. Weierbach
- Center for Cardiovascular Risk Research, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA; (F.M.W.); (D.W.S.); (T.K.P.)
- College of Nursing, East Tennessee State University, Johnson City, TN 37614, USA
| | - Faustine Williams
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD 20892, USA;
| | - David W. Stewart
- Center for Cardiovascular Risk Research, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA; (F.M.W.); (D.W.S.); (T.K.P.)
- Bill Gatton College of Pharmacy, East Tennessee State University, Johnson City, TN 37614, USA
| | - Timir K. Paul
- Center for Cardiovascular Risk Research, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA; (F.M.W.); (D.W.S.); (T.K.P.)
- Division of Medicine, University of Tennessee at Nashville/Ascension Saint Thomas Hospital, Nashville, TN 37205, USA
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18
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Lord BD, Harris AR, Ambs S. The impact of social and environmental factors on cancer biology in Black Americans. Cancer Causes Control 2023; 34:191-203. [PMID: 36562901 DOI: 10.1007/s10552-022-01664-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
Low socioeconomic status (SES) is associated with early onset of chronic diseases and reduced life expectancy. The involvement of neighborhood-level factors in defining cancer risk and outcomes for marginalized communities has been an active area of research for decades. Yet, the biological processes that underlie the impact of SES on chronic health conditions, such as cancer, remain poorly understood. To date, limited studies have shown that chronic life stress is more prevalent in low SES communities and can affect important molecular processes implicated in tumor biology such as DNA methylation, inflammation, and immune response. Further efforts to elucidate how neighborhood-level factors function physiologically to worsen cancer outcomes for disadvantaged communities are underway. This review provides an overview of the current literature on how socioenvironmental factors within neighborhoods contribute to more aggressive tumor biology, specifically in Black U.S. women and men, including the impact of environmental pollutants, neighborhood deprivation, social isolation, structural racism, and discrimination. We also summarize commonly used methods to measure deprivation, discrimination, and structural racism at the neighborhood-level in cancer health disparities research. Finally, we offer recommendations to adopt a multi-faceted intersectional approach to reduce cancer health disparities and develop effective interventions to promote health equity.
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Affiliation(s)
- Brittany D Lord
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bldg. 37/Room 3050, Bethesda, MD, 20892-4258, USA.
| | - Alexandra R Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bldg. 37/Room 3050, Bethesda, MD, 20892-4258, USA
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bldg. 37/Room 3050, Bethesda, MD, 20892-4258, USA
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19
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DeVille NV, Iyer HS, Holland I, Bhupathiraju SN, Chai B, James P, Kawachi I, Laden F, Hart JE. Neighborhood socioeconomic status and mortality in the nurses' health study (NHS) and the nurses' health study II (NHSII). Environ Epidemiol 2023; 7:e235. [PMID: 36777531 PMCID: PMC9916023 DOI: 10.1097/ee9.0000000000000235] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 11/12/2022] [Indexed: 12/24/2022] Open
Abstract
Few studies have prospectively examined long-term associations between neighborhood socioeconomic status (nSES) and mortality risk, independent of demographic and lifestyle risk factors. Methods We assessed associations between nSES and all-cause, nonaccidental mortality among women in the Nurses' Health Study (NHS) 1986-2014 (N = 101,701) and Nurses' Health Study II (NHSII) 1989-2015 (N = 101,230). Mortality was ascertained from the National Death Index (NHS: 19,228 deaths; NHSII: 1556 deaths). Time-varying nSES was determined for the Census tract of each residential address. We used principal component analysis (PCA) to identify nSES variable groups. Multivariable Cox proportional hazards models were conditioned on age and calendar period and included time-varying demographic, lifestyle, and individual SES factors. Results For NHS, hazard ratios (HRs) comparing the fifth to first nSES quintiles ranged from 0.89 (95% confidence interval [CI] = 0.84, 0.94) for percent of households receiving interest/dividends, to 1.11 (95% CI = 1.06, 1.17) for percent of households receiving public assistance income. In NHSII, HRs ranged from 0.72 (95% CI: 0.58, 0.88) for the percent of households receiving interest/dividends, to 1.27 (95% CI: 1.07, 1.49) for the proportion of households headed by a single female. PCA revealed three constructs: education/income, poverty/wealth, and racial composition. The racial composition construct was associated with mortality (HRNHS: 1.03; 95% CI = 1.01, 1.04). Conclusion In two cohorts with extensive follow-up, individual nSES variables and PCA component scores were associated with mortality. nSES is an important population-level predictor of mortality, even among a cohort of women with little individual-level variability in SES.
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Affiliation(s)
- Nicole V. DeVille
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology and Biostatistics, University of Nevada, Las Vegas School of Public Health, Las Vegas, Naveda
| | - Hari S. Iyer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Isabel Holland
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Shilpa N. Bhupathiraju
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Boyang Chai
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Ichiro Kawachi
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Francine Laden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Jaime E. Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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20
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Drewnowski A, Hong BD, Shen E, Ji M, Paz SR, Bhakta BB, Macias M, Crawford CL, Lewis KH, Liu J, Moore DD, Murali SB, Young DR, Coleman KJ. Neighborhood deprivation and residential property values do not affect weight loss at 1 or 3 years after bariatric surgery. Obesity (Silver Spring) 2023; 31:545-552. [PMID: 36627742 PMCID: PMC9877110 DOI: 10.1002/oby.23623] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 09/21/2022] [Accepted: 09/28/2022] [Indexed: 01/12/2023]
Abstract
OBJECTIVE This study examined the association between individual- and neighborhood-level sociodemographic factors and surgical weight loss at 1 year (short term) and 3 years (long term). METHODS Data were obtained from the baseline survey of the BELONG (Bariatric Experience Long Term) prospective longitudinal cohort study. Individual-level self-reported data on sex, race and ethnicity, education, and household income were obtained by survey. Data from the 2010 US Census were used to calculate area Neighborhood Deprivation Index score and median value of owner-occupied housing units at the census tract level. RESULTS Patients (N = 1341) had a mean age of 43.4 (SD 11.3) years, were mostly female (86%), were mostly Black or Hispanic (52%), had some college education (83%), and had annual household incomes ≥$51,000 (55%). Percentage total weight loss was 25.8% (SD 9.0%) at year 1 and 22.2% (SD 10.5%) at year 3. Race and ethnicity and age were significant predictors of weight loss at 1 and 3 years with a small effect of self-reported household income at year 1. There were no significant associations between census tract-level Neighborhood Deprivation Index score or value of owner-occupied housing units and weight loss at either time point. CONCLUSIONS Health systems could improve the chances of weight-loss maintenance after surgery by addressing factors related to racial and ethnic disparities and to income disparities.
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Affiliation(s)
- Adam Drewnowski
- Center for Public Health Nutrition, University of Washington, Seattle, WA
| | - Benjamin D. Hong
- Kaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, CA
| | - Ernest Shen
- Kaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, CA
| | - Ming Ji
- College of Nursing, University of South Florida, Tampa, FL
| | - Silvia R. Paz
- Kaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, CA
| | - Bhumi B. Bhakta
- Kaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, CA
| | - Mayra Macias
- Kaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, CA
| | - Cecelia L. Crawford
- Regional Nursing Research Program, Kaiser Permanente Southern California, Pasadena, CA
| | - Kristina H. Lewis
- Division of Public Health Sciences, Department of Epidemiology & Prevention, Wake Forest University Health Sciences, Winston-Salem, NC
| | - Jialuo Liu
- Kaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, CA
| | - Darren D. Moore
- Marriage and Family Therapy Program, The Family Institute, Northwestern University, Evanston, IL
| | - Sameer B. Murali
- Center for Obesity Medicine & Metabolic Performance, Department of Surgery, University of Texas McGovern Medical School, Houston, Texas
| | - Deborah R. Young
- Kaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, CA
| | - Karen J. Coleman
- Kaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, CA
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21
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Myers LC, Murray RK, Donato BMK, Liu VX, Kipnis P, Shaikh A, Franchino-Elder J. Persistent Steroid Exposure Before Coronavirus Disease 2019 Diagnosis and Risk of Hospitalization in Patients With Chronic Obstructive Pulmonary Disease. CHRONIC OBSTRUCTIVE PULMONARY DISEASES (MIAMI, FLA.) 2023; 10:64-76. [PMID: 36472621 PMCID: PMC9995236 DOI: 10.15326/jcopdf.2022.0351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background It is unclear whether persistent inhaled steroid exposure in chronic obstructive pulmonary disease (COPD) patients before coronavirus disease 2019 (COVID-19) is associated with hospitalization risk. Objective Our objective was to examine the association between persistent steroid exposure and COVID-19-related hospitalization risk in COPD patients. Study Design and Methods This retrospective cohort study used electronic health records from the Kaiser Permanente Northern California health care system (February 2, 2020, to September 30, 2020) for patients aged ≥40 years with COPD and a positive polymerase chain reaction test result for COVID-19. Primary exposure was persistent oral and/or inhaled steroid exposure defined as ≥6 months of prescriptions filled in the year before the COVID-19 diagnosis. Multivariable logistic regression was performed for the primary outcome of COVID-19-related hospitalization or death/hospice referral. Steroid exposure in the month before a COVID-19 diagnosis was a covariate. Results Of >4.3 million adults, 697 had COVID-19 and COPD, of whom 270 (38.7%) had COVID-19-related hospitalizations. Overall, 538 (77.2%) were neither exposed to steroids in the month before COVID-19 diagnosis nor persistently exposed; 53 (7.6%) were exposed in the month before but not persistently; 23 (3.3%) were exposed persistently but not in the month before; and 83 (11.9%) were exposed both persistently and in the month before. Adjusting for all confounders including steroid use in the month before, the odds ratio for hospitalization was 0.77 (95% confidence interval 0.41-1.46) for patients persistently exposed to steroids before a COVID-19 diagnosis. Interpretation No association was observed between persistent steroid exposure and the risk of COVID-19-related hospitalization in COPD patients.
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Affiliation(s)
- Laura C Myers
- The Permanente Medical Group, Kaiser Permanente Northern California, Oakland, California, United States.,Division of Research, Kaiser Permanente Northern California, Oakland, California, United States
| | | | - Bonnie M K Donato
- Health Economics and Outcomes Research, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, Connecticut, United States
| | - Vincent X Liu
- The Permanente Medical Group, Kaiser Permanente Northern California, Oakland, California, United States.,Division of Research, Kaiser Permanente Northern California, Oakland, California, United States
| | - Patricia Kipnis
- The Permanente Medical Group, Kaiser Permanente Northern California, Oakland, California, United States.,Division of Research, Kaiser Permanente Northern California, Oakland, California, United States
| | - Asif Shaikh
- Clinical Development and Medical Affairs, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, Connecticut, United States
| | - Jessica Franchino-Elder
- Health Economics and Outcomes Research, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, Connecticut, United States
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22
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Hu H, Liu X, Zheng Y, He X, Hart J, James P, Laden F, Chen Y, Bian J. Methodological Challenges in Spatial and Contextual Exposome-Health Studies. CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY 2023; 53:827-846. [PMID: 37138645 PMCID: PMC10153069 DOI: 10.1080/10643389.2022.2093595] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
The concept of the exposome encompasses the totality of exposures from a variety of external and internal sources across an individual's life course. The wealth of existing spatial and contextual data makes it appealing to characterize individuals' external exposome to advance our understanding of environmental determinants of health. However, the spatial and contextual exposome is very different from other exposome factors measured at the individual-level as spatial and contextual exposome data are more heterogenous with unique correlation structures and various spatiotemporal scales. These distinctive characteristics lead to multiple unique methodological challenges across different stages of a study. This article provides a review of the existing resources, methods, and tools in the new and developing field for spatial and contextual exposome-health studies focusing on four areas: (1) data engineering, (2) spatiotemporal data linkage, (3) statistical methods for exposome-health association studies, and (4) machine- and deep-learning methods to use spatial and contextual exposome data for disease prediction. A critical analysis of the methodological challenges involved in each of these areas is performed to identify knowledge gaps and address future research needs.
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Affiliation(s)
- Hui Hu
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Xiaokang Liu
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yi Zheng
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Xing He
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Jaime Hart
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Population Medicine, Harvard Pilgrim Healthcare, Boston, Massachusetts, USA
| | - Francine Laden
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Yong Chen
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jiang Bian
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA
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23
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Myers LC, Murray R, Donato B, Liu VX, Kipnis P, Shaikh A, Franchino-Elder J. Risk of hospitalization in a sample of COVID-19 patients with and without chronic obstructive pulmonary disease. Respir Med 2023; 206:107064. [PMID: 36459955 PMCID: PMC9700393 DOI: 10.1016/j.rmed.2022.107064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 11/21/2022] [Accepted: 11/23/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND AND OBJECTIVE Patients with chronic obstructive pulmonary disease (COPD) may have worse coronavirus disease-2019 (COVID-19)-related outcomes. We compared COVID-19 hospitalization risk in patients with and without COPD. METHODS This retrospective cohort study included patients ≥40 years, SARS-CoV-2 positive, and with Kaiser Permanente Northern California membership ≥1 year before COVID-19 diagnosis (electronic health records and claims data). COVID-19-related hospitalization risk was assessed by sequentially adjusted logistic regression models and stratified by disease severity. Secondary outcome was death/hospice referral after COVID-19. RESULTS AND DISCUSSION Of 19,558 COVID-19 patients, 697 (3.6%) had COPD. Compared with patients without COPD, COPD patients were older (median age: 69 vs 53 years); had higher Elixhauser Comorbidity Index (5 vs 0) and more median baseline outpatient (8 vs 4), emergency department (2 vs 1), and inpatient (2 vs 1) encounters. Unadjusted analyses showed increased odds of hospitalization with COPD (odds ratio [OR]: 3.93; 95% confidence interval [CI]: 3.40-4.60). After full risk adjustment, there were no differences in odds of hospitalization (OR: 1.14, 95% CI: 0.93-1.40) or death/hospice referral (OR: 0.96, 95% CI: 0.72-1.27) between patients with and without COPD. Primary/secondary outcomes did not differ by COPD severity, except for higher odds of hospitalization in COPD patients requiring supplemental oxygen versus those without COPD (OR: 1.84, 95% CI: 1.02-3.33). CONCLUSIONS Except for hospitalization among patients using supplemental oxygen, no differences in odds of hospitalization or death/hospice referral were observed in the COVID-19 patient sample depending on whether they had COPD.
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Affiliation(s)
- Laura C Myers
- The Permanente Medical Group, Kaiser Permanente Northern California, Oakland, CA, USA; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
| | | | - Bonnie Donato
- Health Economics and Outcomes Research, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, USA
| | - Vincent X Liu
- The Permanente Medical Group, Kaiser Permanente Northern California, Oakland, CA, USA; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Patricia Kipnis
- The Permanente Medical Group, Kaiser Permanente Northern California, Oakland, CA, USA; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Asif Shaikh
- Clinical Development and Medical Affairs, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, USA
| | - Jessica Franchino-Elder
- Health Economics and Outcomes Research, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, USA
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24
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Zelenina A, Shalnova S, Maksimov S, Drapkina O. Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10063. [PMID: 36011694 PMCID: PMC9408665 DOI: 10.3390/ijerph191610063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/10/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Many studies around the world are undertaken to establish the association between deprivation and public health indicators. Both separate indicators (e.g., income, education, occupation, public security and social support) and complex models (indices) include several indicators. Deprivation indices are actively used in public health since the mid 1980s. There is currently no clear classification of indices. METHODS In the current review, data related to deprivation indices are combined and analyzed in order to create a taxonomy of indices based on the results obtained. The search was carried out using two bibliographic databases. After conducting a full-text review of the articles and searching and adding relevant articles from the bibliography, and articles that were already known to the authors, sixty studies describing the use of sixty deprivation indices in seventeen countries were included in the narrative synthesis, resulting in development of a taxonomy of indices. When creating the taxonomy, an integrative approach was used that allows integrating new classes and sub-classes in the event that new information appears. RESULTS In the review, 68% (41/60) of indices were classified as socio-economic, 7% (4/60) of indices as material deprivation, 5% (3/60) of indices as environmental deprivation and 20% (12/60) as multidimensional indices. CONCLUSIONS The data stimulates the use of a competent approach, and will help researchers and public health specialist in resolving conflicts or inconsistencies that arise during the construction and use of indices.
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Affiliation(s)
- Anastasia Zelenina
- National Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, Petroverigskiy per. 10, 101990 Moscow, Russia
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Zahedi-Spung L, Polnaszek B, Duckham H, Zhang F, Stout MJ, Herrick CJ, Paul R, Carter EB. The Impact of Neighborhood Deprivation on Glycemic Control for Patients with Type 2 Diabetes During Pregnancy. J Womens Health (Larchmt) 2022; 31:1156-1164. [PMID: 35245092 PMCID: PMC9419981 DOI: 10.1089/jwh.2021.0273] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: The impact of neighborhood level factors on glycemic control and pregnancy outcomes is understudied. The primary objective was to determine whether there is an association between glycemic control during pregnancy and level of neighborhood deprivation, defined by area deprivation index (ADI). Materials and Methods: We conducted a retrospective cohort study of women with type 2 diabetes who received care at a tertiary referral center from 2007 to 2017. Patients living in more deprived neighborhoods (ADI >85th national percentile) were compared to those living in less deprived neighborhoods (ADI ≤85th percentile). The primary outcome was change in hemoglobin A1c (HbA1c) over time. Demographic characteristics were compared between groups, and trends in mean A1c through each trimester were tested with repeated measures analysis. Results: Of 237 women meeting study criteria, 93 (39.2%) lived in less deprived (low ADI) and 144 (60.8%) lived in more deprived neighborhoods (high ADI). Women living in more deprived neighborhoods were more likely to be Black (86.8% vs. 53.8%, p < 0.01), less likely to be married (11.3% vs. 31.2%, p < 0.01), and had more severe diabetes (p = 0.05). Both groups achieved significant improvement in HbA1c across each trimester using repeated measures analysis. Those living in more deprived neighborhoods had significantly more improvement in HbA1c from their initial visit to the third trimester compared to those in less deprived neighborhoods, (p = 0.01) such that there was no longer a statistically significant disparity in HbA1c by the third trimester (6.69 ± 0.97 Less deprived vs. 6.95 ± 1.22 more deprived, p = 0.19). Conclusions: Low-income women living in more deprived neighborhoods enter pregnancy with significantly worse glycemic control than those living in less deprived neighborhoods, but the gap in glycemic control largely closes by the end of pregnancy with similar maternal and neonatal outcomes.
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Affiliation(s)
- Leilah Zahedi-Spung
- Regional Obstetrical Consultants, University of Tennesse-Chattanooga, Division of Maternal Fetal Medicine, Chattanooga, TN.,Address correspondence to: Leilah Zahedi-Spung, MD, Regional Obstetrical Consultants, Chattanooga, TN 37405, USA
| | - Brock Polnaszek
- Warren Alpert Medical School of Brown University, Providence, RI
| | - Hillary Duckham
- Division of Clinical Research, Department of Obstetrics and Gynecology, Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Fan Zhang
- Division of Clinical Research, Department of Obstetrics and Gynecology, Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Molly J. Stout
- Division of Maternal Fetal Medicine, University of Michigan, Ann Arbor, MI
| | - Cynthia J. Herrick
- Division of Endocrinology, Metabolism and Lipid Research, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Rachel Paul
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Ebony B. Carter
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Washington University School of Medicine in St. Louis, St. Louis, MO
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Comparing Global and Spatial Composite Measures of Neighborhood Socioeconomic Status Across US Counties. J Urban Health 2022; 99:457-468. [PMID: 35484371 PMCID: PMC9187828 DOI: 10.1007/s11524-022-00632-8] [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] [Accepted: 03/18/2022] [Indexed: 10/18/2022]
Abstract
Area-level neighborhood socioeconomic status (NSES) is often measured without consideration of spatial autocorrelation and variation. In this paper, we compared a non-spatial NSES measure to a spatial NSES measure for counties in the USA using principal component analysis and geographically weighted principal component analysis (GWPCA), respectively. We assessed spatial variation in the loadings using a Monte Carlo randomization test. The results indicated that there was statistically significant variation (p = 0.004) in the loadings of the spatial index. The variability of the census variables explained by the spatial index ranged from 60 to 90%. We found that the first geographically weighted principal component explained the most variability in the census variables in counties in the Northeast and the West, and the least variability in counties in the Midwest. We also tested the two measures by assessing the associations with county-level diabetes prevalence using data from the CDC's US Diabetes Surveillance System. While associations of the two NSES measures with diabetes did not differ for this application, the descriptive results suggest that it might be important to consider a spatial index over a global index when constructing national county measures of NSES. The spatial approach may be useful in identifying what factors drive the socioeconomic status of a county and how they vary across counties. Furthermore, we offer suggestions on how a GWPCA-based NSES index may be replicated for smaller geographic scopes.
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Sidell MA, Chen Z, Huang BZ, Chow T, Eckel SP, Martinez MP, Lurmann F, Thomas DC, Gilliland FD, Xiang AH. Ambient air pollution and COVID-19 incidence during four 2020-2021 case surges. ENVIRONMENTAL RESEARCH 2022; 208:112758. [PMID: 35063430 PMCID: PMC8767981 DOI: 10.1016/j.envres.2022.112758] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 01/14/2022] [Accepted: 01/15/2022] [Indexed: 05/07/2023]
Abstract
BACKGROUND Air pollution exposure may make people more vulnerable to COVID-19 infection. However, previous studies in this area mostly focused on infection before May 2020 and long-term exposure. OBJECTIVE To assess both long-term and short-term exposure to air pollution and COVID-19 incidence across four case surges from 03/1/2020 to 02/28/2021. METHODS The cohort included 4.6 million members from a large integrated health care system in southern California with comprehensive electronic medical records (EMR). COVID-19 cases were identified from EMR. Incidence of COVID-19 was computed at the census tract-level among members. Prior 1-month and 1-year averaged air pollutant levels (PM2.5, NO2, and O3) at the census tract-level were estimated based on hourly and daily air quality data. Data analyses were conducted by each wave: 3/1/2020-5/31/2020, 6/1/202-9/30/2020, 10/1/2020-12/31/2020, and 1/1/2021-2/28/2021 and pooled across waves using meta-analysis. Generalized linear mixed effects models with Poisson distribution and spatial autocorrelation were used with adjustment for meteorological factors and census tract-level social and health characteristics. Results were expressed as relative risk (RR) per 1 standard deviation. RESULTS The cohort included 446,440 COVID-19 cases covering 4609 census tracts. The pooled RRs (95% CI) of COVID-19 incidence associated with 1-year exposures to PM2.5, NO2, and O3 were 1.11 (1.04, 1.18) per 2.3 μg/m3,1.09 (1.02, 1.17) per 3.2 ppb, and 1.06 (1.00, 1.12) per 5.5 ppb respectively. The corresponding RRs (95% CI) associated with prior 1-month exposures were 1.11 (1.03, 1.20) per 5.2 μg/m3 for PM2.5, 1.09 (1.01, 1.17) per 6.0 ppb for NO2 and 0.96 (0.85, 1.08) per 12.0 ppb for O3. CONCLUSION Long-term PM2.5 and NO2 exposures were associated with increased risk of COVID-19 incidence across all case surges before February 2021. Short-term PM2.5 and NO2 exposures were also associated. Our findings suggest that air pollution may play a role in increasing the risk of COVID-19 infection.
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Affiliation(s)
- Margo A Sidell
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Zhanghua Chen
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brian Z Huang
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ting Chow
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Sandrah P Eckel
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mayra P Martinez
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | | | - Duncan C Thomas
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Frank D Gilliland
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Anny H Xiang
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
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28
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Ndukwe T, Cole E, Scanzera AC, Chervinko MA, Chiang MF, Campbell JP, Chan RVP. Health Equity and Disparities in ROP Care: A Need for Systematic Evaluation. Front Pediatr 2022; 10:806691. [PMID: 35433564 PMCID: PMC9010777 DOI: 10.3389/fped.2022.806691] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 03/03/2022] [Indexed: 12/04/2022] Open
Abstract
Retinopathy of prematurity (ROP) is a vasoproliferative retinal disorder that can have devastating visual sequelae if not managed appropriately. From an ophthalmology standpoint, ROP care is complex, since it spans multiple care settings and providers, including those in the neonatal intensive care unit (NICU), step down nurseries, and the outpatient clinic setting. This requires coordination and communication between providers, ancillary staff, and most importantly, effective communication with the patient's family members and caregivers. Often, factors related to the social determinants of health play a significant role in effective communication and care coordination with the family, and it is important for ophthalmologists to recognize these risk factors. The aim of this article is to (1) review the literature related to disparities in preterm birth outcomes and infants at risk for ROP; (2) identify barriers to ROP care and appropriate follow up, and (3) describe patient-oriented solutions and future directions for improving ROP care through a health equity lens.
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Affiliation(s)
- Tochukwu Ndukwe
- Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, IL, United States
| | - Emily Cole
- Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, IL, United States
| | - Angelica C. Scanzera
- Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, IL, United States
| | - Margaret A. Chervinko
- Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, IL, United States
| | - Michael F. Chiang
- National Institutes of Health, National Eye Institute, Bethesda, MD, United States
| | - John Peter Campbell
- Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, OR, United States
| | - Robison Vernon Paul Chan
- Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois at Chicago, Chicago, IL, United States
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Wheeler DC, Boyle J, Nelson EJ. Modeling annual elevated blood lead levels among children in Maryland in relation to neighborhood deprivation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 805:150333. [PMID: 34543794 DOI: 10.1016/j.scitotenv.2021.150333] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 09/09/2021] [Accepted: 09/10/2021] [Indexed: 06/13/2023]
Abstract
Estimating environmental lead exposure using ecologic risk models is an inexpensive strategy to inform public health departments and to develop location-based intervention strategies such as targeted screening and mitigation. Importantly, studies in this area have not assessed temporal and spatio-temporal lead exposure risk trends. Due to lead abatement efforts and targeted screening efforts, it is anticipated that lead exposure risk has decreased over time. However, it is unknown if decreases have occurred, and if the decreases are evenly distributed across neighborhoods. Thus, the purpose of this study was to examine the association between neighborhood deprivation and risk of elevated blood lead levels (EBLLs) in both temporal and spatio-temporal contexts within the US state of Maryland in 2005-2015. To consider the temporal dimension of lead risk, we used a novel extension of Bayesian index models to estimate time-varying neighborhood deprivation indices along with time-varying index effects. The results showed that overall EBLL proportion decreased over time, from a high of 0.11 in 2006 to a low of 0.02 in 2015. The association between neighborhood deprivation and EBLL risk was positive and significant annually, but generally diminished over time. The most important variables in the neighborhood deprivation index were percent of houses built before 1940 and median household income. In summary, using Bayesian index models that can account for both temporal and spatio-temporal contexts is a promising approach to inform public health efforts to remediate lead and focus testing efforts and may be useful in studies in other geographic areas and times.
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Affiliation(s)
- David C Wheeler
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, United States of America.
| | - Joseph Boyle
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, United States of America
| | - Erik J Nelson
- Department of Public Health, College of Life Sciences, Brigham Young University, Provo, UT, United States of America
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Andrews MR, Tamura K, Best JN, Ceasar JN, Batey KG, Kearse TA, Allen LV, Baumer Y, Collins BS, Mitchell VM, Powell-Wiley TM. Spatial Clustering of County-Level COVID-19 Rates in the U.S. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:12170. [PMID: 34831926 PMCID: PMC8622138 DOI: 10.3390/ijerph182212170] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 11/07/2021] [Accepted: 11/12/2021] [Indexed: 12/18/2022]
Abstract
Despite the widespread prevalence of cases associated with the coronavirus disease 2019 (COVID-19) pandemic, little is known about the spatial clustering of COVID-19 in the United States. Data on COVID-19 cases were used to identify U.S. counties that have both high and low COVID-19 incident proportions and clusters. Our results suggest that there are a variety of sociodemographic variables that are associated with the severity of COVID-19 county-level incident proportions. As the pandemic evolved, communities of color were disproportionately impacted. Subsequently, it shifted from communities of color and metropolitan areas to rural areas in the U.S. Our final period showed limited differences in county characteristics, suggesting that COVID-19 infections were more widespread. The findings might address the systemic barriers and health disparities that may result in high incident proportions of COVID-19 clusters.
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Affiliation(s)
- Marcus R. Andrews
- Department of Health Behavior and Health Education, School of Public Health, University of Michigan, 1450 Washington Heights, Ann Arbor, MI 48109, USA; (M.R.A.); (J.N.B.)
| | - Kosuke Tamura
- Neighborhood Social and Geospatial Determinants of Health Disparities Laboratory, Population and Community Health Sciences Branch, Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Janae N. Best
- Department of Health Behavior and Health Education, School of Public Health, University of Michigan, 1450 Washington Heights, Ann Arbor, MI 48109, USA; (M.R.A.); (J.N.B.)
| | - Joniqua N. Ceasar
- Department of Medicine, Internal Medicine-Pediatrics Residency, Johns Hopkins University, 251 Bayview Boulevard, Baltimore, MD 21224, USA;
| | - Kaylin G. Batey
- College of Medicine, University of Kentucky, 800 Rose Street MN 150, Lexington, KY 40506, USA;
| | - Troy A. Kearse
- Department of Psychology, Howard University, 525 Bryant Street, NW, Washington, DC 20059, USA;
| | - Lavell V. Allen
- Department of Public Health, University of New England, 11 Hills Beach Road, Biddeford, ME 04005, USA;
| | - Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (Y.B.); (B.S.C.); (V.M.M.)
| | - Billy S. Collins
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (Y.B.); (B.S.C.); (V.M.M.)
| | - Valerie M. Mitchell
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (Y.B.); (B.S.C.); (V.M.M.)
| | - Tiffany M. Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (Y.B.); (B.S.C.); (V.M.M.)
- Adjunct Investigator, Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD 20892, USA
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Andrews MR, Ceasar J, Tamura K, Langerman SD, Mitchell VM, Collins BS, Baumer Y, Gutierrez Huerta CA, Dey AK, Playford MP, Mehta NN, Powell-Wiley TM. Neighborhood environment perceptions associate with depression levels and cardiovascular risk among middle-aged and older adults: Data from the Washington, DC cardiovascular health and needs assessment. Aging Ment Health 2021; 25:2078-2089. [PMID: 32691611 PMCID: PMC7855489 DOI: 10.1080/13607863.2020.1793898] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Little is understood about associations between neighborhood characteristics and depression, a cardiovascular disease (CVD) risk factor, in diverse populations. We examined relationships between perceived/objective neighborhood characteristics, depression, and CVD markers within the Washington, DC CV Health/Needs Assessment, an evaluation among predominantly African-American (AA) adults in resource-limited DC communities. METHOD Factor analysis of overall neighborhood environment perception (NEP) identified three NEP sub-scores:1) violence; 2) physical/social environment; 3) social cohesion (higher score = more favorable perception). Objective neighborhood characteristics were measured by geospatially-derived scores of walkability, transportation, and crime. Depression was defined by the revised Center for Epidemiologic Studies Depression Scale (CESD-R). We used linear-regression modeling to examine neighborhood measures and CESD-R associations. To investigate a subsequent connection with CVD risk, we examined relationships between CESD-R and CVD-associated cytokines in a population subset. RESULTS Participants (N = 99; mean age = 59.06; 99% AA) had a mean CESD-R score = 5.8(SD = 8.88). In adjusted models, CESD-R scores decreased by 0.20 units (p = 0.01) for every overall NEP unit-increase. Perceived physical/social environment (β = -0.34, p = 0.04) and social cohesion (β = -0.82, p = 0.01) were related to CESD-R while perceived violence was not (β = -0.28, p = 0.1). Of objective neighborhood environment measures (i.e. walk, transit, bike, personal crime, and property crime scores), only property crime score was associated with depression (β = 4.99, p < 0.03). In population subset (n = 42), higher CESD-R associated with higher IL-1β (β = 21.25, p < 0.01) and IL-18 (β = 0.006, p = 0.01). CONCLUSION Favorable neighborhood perceptions are related to lower depressive symptoms in a predominantly AA cohort from Washington, DC resource-limited communities. Neighborhood perceptions appear to be strongly associated with depressive symptoms compared to objective characteristics. Increasing CESD-R scores were related to higher pro-inflammatory markers. Improving neighborhood perceptions may be beneficial to psychological well-being and CV health for urban minority residents.
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Affiliation(s)
- Marcus R. Andrews
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joniqua Ceasar
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kosuke Tamura
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Steven D. Langerman
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Valerie M. Mitchell
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Billy S. Collins
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Cristhian A. Gutierrez Huerta
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amit K. Dey
- Section of Inflammation and Cardiometabolic Diseases, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, USA
| | - Martin P. Playford
- Section of Inflammation and Cardiometabolic Diseases, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, USA
| | - Nehal N. Mehta
- Section of Inflammation and Cardiometabolic Diseases, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, USA
| | - Tiffany M. Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA;,Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
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Lobelo F, Bienvenida A, Leung S, Mbanya A, Leslie E, Koplan K, Shin SR. Clinical, behavioural and social factors associated with racial disparities in COVID-19 patients from an integrated healthcare system in Georgia: a retrospective cohort study. BMJ Open 2021; 11:e044052. [PMID: 34011589 PMCID: PMC8136804 DOI: 10.1136/bmjopen-2020-044052] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVES To identify sociodemographic, clinical and behavioural drivers of racial disparities and their association with clinical outcomes among Kaiser Permanente Georgia (KPGA) members with COVID-19. DESIGN Retrospective cohort of patients with COVID-19 seen from 3 March to 29 October 2020. We described the distribution of underlying comorbidities, quality of care metrics, demographic and social determinants of health (SDOH) indicators across race groups. We also described clinical outcomes in hospitalised patients including length of stay, intensive care unit (ICU) admission, readmission and mortality. We performed multivariable analyses for hospitalisation risk among all patients with COVID-19 and stratifyied by race and sex. SETTING KPGA, an integrated healthcare system. PARTICIPANTS 5712 patients who all had laboratory-confirmed COVID-19. Of them, 57.8% were female, 58.4% black, 29.5% white, 8.5% Hispanic and 3.6% Asian. RESULTS Black patients had the highest proportions of living in neighborhoods under the federal poverty line (12.4%) and in more deprived locations (neighbourhood deprivation index=0.4). Overall, 14.4% (n=827) of this cohort was hospitalised. Asian patients had the highest rates of ICU admission (53.1%) and mechanical ventilation (21.9%). Among all patients, Hispanics (adjusted 1.60, 95% CI (1.08, 2.37)), blacks (1.43 (1.13, 1.83)), age in years (1.03 (1.02, 1.04)) and living in a zip code with high unemployment (1.08 (1.03, 1.13)) were associated with higher odds of hospitalisation. COVID-19 patients with chronic obstructive pulmonary disease (2.59 (1.67, 4.02)), chronic heart failure (1.79 (1.31, 2.45)), immunocompromised (1.77 (1.16, 2.70)), with glycated haemoglobin >8% (1.68 (1.19, 2.38)), depression (1.60 (1.24, 2.06)), hypertension (1.5 (1.21, 1.87)) and physical inactivity (1.25 (1.03, 1.51)) had higher odds of hospitalisation. CONCLUSIONS Black and Hispanic KPGA patients were at higher odds of hospitalisation, but not mortality, compared with other race groups. Beyond previously reported sociodemographics and comorbidities, factors such as quality of care, lifestyle behaviours and SDOH indicators should be considered when designing and implementing interventions to reduce COVID-19 racial disparities.
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Affiliation(s)
- Felipe Lobelo
- The Southeast Permanente Medical Group, Kaiser Permanente Georgia, Atlanta, Georgia, USA
- Global Health Department, Rollins School of Public Health, Atlanta, Georgia, USA
| | - Alan Bienvenida
- The Southeast Permanente Medical Group, Kaiser Permanente Georgia, Atlanta, Georgia, USA
| | - Serena Leung
- The Southeast Permanente Medical Group, Kaiser Permanente Georgia, Atlanta, Georgia, USA
| | - Armand Mbanya
- The Southeast Permanente Medical Group, Kaiser Permanente Georgia, Atlanta, Georgia, USA
| | - Elizabeth Leslie
- The Southeast Permanente Medical Group, Kaiser Permanente Georgia, Atlanta, Georgia, USA
| | - Kate Koplan
- The Southeast Permanente Medical Group, Kaiser Permanente Georgia, Atlanta, Georgia, USA
| | - Sangmin Ryan Shin
- The Southeast Permanente Medical Group, Kaiser Permanente Georgia, Atlanta, Georgia, USA
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Farmer N, Gutierrez-Huerta CA, Turner BS, Mitchell VM, Collins BS, Baumer Y, Wallen GR, Powell-Wiley TM. Neighborhood Environment Associates with Trimethylamine-N-Oxide (TMAO) as a Cardiovascular Risk Marker. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:4296. [PMID: 33919545 PMCID: PMC8072883 DOI: 10.3390/ijerph18084296] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 04/15/2021] [Accepted: 04/16/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Neighborhoods and the microbiome are linked to cardiovascular disease (CVD), yet investigations to identify microbiome-related factors at neighborhood levels have not been widely investigated. We sought to explore relationships between neighborhood deprivation index (NDI) and the microbial metabolite, trimethylamine-N-oxide. We hypothesized that inflammatory markers and dietary intake would be mediators of the relationship. METHODS African-American adults at risk for CVD living in the Washington, DC area were recruited to participate in a cross-sectional community-based study. US census-based neighborhood deprivation index (NDI) measures (at the census-tract level) were determined. Serum samples were analyzed for CVD risk factors, cytokines, and the microbial metabolite, trimethylamine-N-oxide (TMAO). Self-reported dietary intake based on food groups was collected. RESULTS Study participants (n = 60) were predominantly female (93.3%), with a mean (SD) age of 60.83 (+/-10.52) years. Mean (SD) NDI was -1.54 (2.94), and mean (SD) TMAO level was 4.99 (9.65) µmol/L. Adjusting for CVD risk factors and BMI, NDI was positively associated with TMAO (β = 0.31, p = 0.02). Using mediation analysis, the relationship between NDI and TMAO was significantly mediated by TNF-α (60.15%) and interleukin)-1 β (IL; 49.96%). When controlling for clustering within neighborhoods, the NDI-TMAO association was no longer significant (β = 5.11, p = 0.11). However, the association between NDI and IL-1 β (β = 0.04, p = 0.004) and TNF-α (β = 0.17, p = 0.003) remained. Neither NDI nor TMAO was significantly associated with daily dietary intake. Conclusion and Relevance: Among a small sample of African-American adults at risk for CVD, there was a significant positive relationship with NDI and TMAO mediated by inflammation. These hypothesis-generating results are initial and need to be confirmed in larger studies.
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Affiliation(s)
- Nicole Farmer
- Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Cristhian A. Gutierrez-Huerta
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (C.A.G.-H.); (B.S.T.); (V.M.M.); (B.S.C.); (Y.B.); (T.M.P.-W.)
| | - Briana S. Turner
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (C.A.G.-H.); (B.S.T.); (V.M.M.); (B.S.C.); (Y.B.); (T.M.P.-W.)
| | - Valerie M. Mitchell
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (C.A.G.-H.); (B.S.T.); (V.M.M.); (B.S.C.); (Y.B.); (T.M.P.-W.)
| | - Billy S. Collins
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (C.A.G.-H.); (B.S.T.); (V.M.M.); (B.S.C.); (Y.B.); (T.M.P.-W.)
| | - Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (C.A.G.-H.); (B.S.T.); (V.M.M.); (B.S.C.); (Y.B.); (T.M.P.-W.)
| | - Gwenyth R. Wallen
- Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Tiffany M. Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; (C.A.G.-H.); (B.S.T.); (V.M.M.); (B.S.C.); (Y.B.); (T.M.P.-W.)
- Intramural Research Program, National Institute on Minority and Health Disparities, Bethesda, MD 20892, USA
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Burris HH, Parker MG. Racial and ethnic disparities in preterm birth outcomes: a call to action for neonatal providers. J Perinatol 2021; 41:365-366. [PMID: 33510416 DOI: 10.1038/s41372-021-00917-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/13/2021] [Accepted: 01/14/2021] [Indexed: 11/09/2022]
Affiliation(s)
- Heather H Burris
- Division of Neonatology, Department of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Margaret G Parker
- Department of Pediatrics, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
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Tamura K, Langerman SD, Orstad SL, Neally SJ, Andrews MR, Ceasar JN, Sims M, Lee JE, Powell-Wiley TM. Physical activity-mediated associations between perceived neighborhood social environment and depressive symptoms among Jackson Heart Study participants. Int J Behav Nutr Phys Act 2020; 17:91. [PMID: 32650787 PMCID: PMC7350640 DOI: 10.1186/s12966-020-00991-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 06/29/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Little is known about the associations between perceived neighborhood social environment (PNSE) and depressive symptoms among African Americans. Furthermore, the role of physical activity (PA) as a mediator of this association has not been investigated. The two-fold objectives of this study, therefore, were (1) to examine the associations between PNSE and depressive symptoms among African Americans, and (2) to test the degree to which these associations were mediated by total PA. METHODS We used baseline data from the Jackson Heart Study (JHS), a single-site, prospective, community-based study of African-American adults (n = 2209) recruited from Jackson, Mississippi. PNSE variables included scores for neighborhood violence (i.e., higher score = more violence), problems (higher score = more problems), and social cohesion (higher score = more cohesion). Depressive symptoms were measured by the 20-item Center for Epidemiological Studies Depression (CES-D) score. First, multilevel modeling, controlling for census tract clustering effects, was used to estimate associations between each PNSE variable and CES-D score, adjusting for covariates, including demographic, health-related, and population density. Second, validated, self-reported total PA, based on active living, sport, and home indices, was tested as the mediator. Multivariable linear regressions with bootstrap-generated 95% bias-corrected confidence intervals (BC CIs) were estimated to test for significant unstandardized indirect effects, controlling for all covariates. RESULTS Our participants were 64.2% female with a mean age of 52.6 (SD = 12.2) and a mean CES-D score of 10.8 (SD = 8.1). In the fully-adjusted model, neighborhood violence and problems were positively related to depressive symptoms (B = 3.59, 95%CI = 0.93, 6.26, and B = 3.06, 95%CI = 1.19, 4.93, respectively). Neighborhood violence and problems were also indirectly related to depressive symptoms via total PA (B = 0.26, 95%BC CI = 0.05, 0.55; and B = 0.15, 95%BC CI = 0.02, 0.34, respectively). Social cohesion was neither directly nor indirectly related to depressive symptoms. CONCLUSIONS We found that higher levels of perceived neighborhood problems and violence were directly and positively associated with depressive symptoms. These associations may be explained in part by lower total PA levels. Future interventions to reduce depressive symptoms attributed to neighborhood features should consider emphasizing built environment features that facilitate PA increases in conjunction with community efforts to reduce neighborhood violence and problems.
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Affiliation(s)
- Kosuke Tamura
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA.
| | | | - Stephanie L Orstad
- Department of Medicine, Division of General Internal Medicine and Clinical Innovation, New York University Grossman School of Medicine, New York, NY, USA
| | - Sam J Neally
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Marcus R Andrews
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Joniqua N Ceasar
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Jae E Lee
- Research Centers in Minority Institutions Translational Research Network Data Coordinating Center, Jackson State University, Jackson, MS, USA
| | - Tiffany M Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
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