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Cintron MA, Baumer Y, Pang AP, Aquino Peterson EM, Ortiz-Whittingham LR, Jacobs JA, Sharda S, Potharaju KA, Baez AS, Gutierrez-Huerta CA, Ortiz-Chaparro EN, Collins BS, Mitchell VM, Saurabh A, Mendelsohn LG, Redekar NR, Paul S, Corley MJ, Powell-Wiley TM. Associations between the neural-hematopoietic-inflammatory axis and DNA methylation of stress-related genes in human leukocytes: Data from the Washington, D.C. cardiovascular health and needs assessment. Brain Behav Immun Health 2025; 45:100976. [PMID: 40166762 PMCID: PMC11957810 DOI: 10.1016/j.bbih.2025.100976] [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: 11/17/2024] [Revised: 02/28/2025] [Accepted: 03/08/2025] [Indexed: 04/02/2025] Open
Abstract
Chronic stress is associated with cardiovascular disease (CVD) risk and elevated amygdala activity. Previous research suggests a plausible connection between amygdala activity, hematopoietic tissue activity, and cardiovascular events; however, the underlying biological mechanisms linking these relationships are incompletely understood. Chronic stress is thought to modulate epigenomic modifications. Our investigation focused on associations between amygdala activity (left (L), right (R), maximum (M), and average (Av) AmygA), and splenic (SpleenA), and bone marrow activity (BMA) as determined by 18Fluorodeoxyglucose (FDG) on Positron Emission Tomography/Computed Tomography (PET/CT) scans. Subsequently, we assessed how these markers of chronic stress and hematopoietic activity might relate to the DNA methylation of stress-associated genes in a community-based cohort of African American individuals from Washington D.C. at risk for CVD. To assess the relationships between AmgyA, SpleenA, BMA, and DNA methylation, linear regression models were run and adjusted for body mass index and 10-year predicted atherosclerotic CVD risk. Among 60 participants (93.3% female, mean age 60.8), M-AmygA positively associated with SpleenA (β = 0.29; p = 0.001), but not BMA (β = 0.01; p = 0.89). M-AmygA (β = 0.37; p = 0.01 and β = 0.31; p = 0.02, respectively) and SpleenA (β = 0.73; p < 0.01 and β = 0.59; p = 0.005, respectively) were associated with both IL-1β and TNFα. Decreased M-AmygA, SpleenA, IL-1β, and TNFα were associated with methylation of NFκB1 at cg07955720 and STAT3 at cg19438966. Our findings suggest a potential association between AmygA, SpleenA, and pro-inflammatory cytokines in the setting of chronic stress, suggesting an adverse hematopoietic effect. Furthermore, findings reveal associations with epigenetic markers of NFκB and JAK/STAT pathways linked to chronic stress.
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Affiliation(s)
- Manuel A. Cintron
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alina P.S. Pang
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, NY, USA
| | - Elizabeth M. Aquino Peterson
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, 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, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joshua A. Jacobs
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sonal Sharda
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kameswari A. Potharaju
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrew S. Baez
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, 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, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erika N. Ortiz-Chaparro
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Billy S. Collins
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Valerie M. Mitchell
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Abhinav Saurabh
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Laurel G. Mendelsohn
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Neelam R. Redekar
- Integrated Data Sciences Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Subrata Paul
- Integrated Data Sciences Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Michael J. Corley
- Department of Medicine, Division of Infectious Diseases, Weill Cornell Medicine, New York, NY, 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, USA
- Intramural Research Program, National Institute on Minority Health Disparities, National Institutes of Health, Bethesda, MD, USA
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Tomlinson MM, Kerstiens S, Smith C, Agbonlahor O, Clarke J, Vincent K, Walker KL, McLeish AC, Keith RJ, Smith T, Yeager RA, Wood LA, Bhatnagar A, Hart JL. The association between perceived neighborhood safety and cardiovascular disease risk factors. PSYCHOL HEALTH MED 2025; 30:47-58. [PMID: 39360605 DOI: 10.1080/13548506.2024.2410418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 09/09/2024] [Indexed: 10/04/2024]
Abstract
Cardiovascular disease (CVD) remains the leading cause of mortality in the U.S. accounting for 1 in 4 deaths each year. Environmental factors, such as neighborhood safety, may increase the risk of CVD. Therefore, the current study assessed perceived neighborhood safety and its association with CVD risk factors (i.e. dyslipidemia, hypertension, type II diabetes) among 663 adults (mean age: 49.97 years, 61.24% female, 78.28% White). Participants completed self-report measures as part of a larger study of environmental influences on cardiac health. Results indicated that individuals reporting low perceived neighborhood safety had greater odds of having at least one CVD risk factor (OR = 2.76, 95% CI: 1.46, 5.22) compared to those with high perceived safety. There was a significant interaction between gender and the presence of at least one CVD risk factor in relation to perceived neighborhood safety. Low perceived neighborhood safety was associated with greater odds of having at least one CVD risk factor among males (OR = 5.48, 95% C.I: 1.82, 16.52) but not females. These findings suggest that low perceived safety is associated with CVD risk factors, especially among males. Future work should seek to better understand the interaction by gender in the relationship between perceived safety and CVD risk factors.
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Affiliation(s)
- Madeline M Tomlinson
- College of Health Professions, Bellarmine University, Louisville, KY, USA
- Department of Epidemiology and Population Health, School of Public Health and Information Health Sciences, University of Louisville, Louisville, KY, USA
| | - Savanna Kerstiens
- Department of Communication Studies, Northwestern University, Evanston, IL, USA
| | - Courteney Smith
- Brian Lamb School of Communication, Purdue University, West Lafayette, IN, USA
| | - Osayande Agbonlahor
- Department of Epidemiology and Population Health, School of Public Health and Information Health Sciences, University of Louisville, Louisville, KY, USA
| | - Julianna Clarke
- Department of Epidemiology and Population Health, School of Public Health and Information Health Sciences, University of Louisville, Louisville, KY, USA
| | - Kolbie Vincent
- Department of Communication, University of Louisville, Louisville, KY, USA
| | - Kandi L Walker
- Department of Communication, University of Louisville, Louisville, KY, USA
- Christina Lee Brown Envirome Institute, School of Medicine, University of Louisville, Louisville, KY, USA
- Superfund Research Center, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Alison C McLeish
- Christina Lee Brown Envirome Institute, School of Medicine, University of Louisville, Louisville, KY, USA
- Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, USA
| | - Rachel J Keith
- Christina Lee Brown Envirome Institute, School of Medicine, University of Louisville, Louisville, KY, USA
- Superfund Research Center, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Ted Smith
- Christina Lee Brown Envirome Institute, School of Medicine, University of Louisville, Louisville, KY, USA
- Superfund Research Center, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Ray A Yeager
- Christina Lee Brown Envirome Institute, School of Medicine, University of Louisville, Louisville, KY, USA
- Superfund Research Center, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Lindsey A Wood
- Department of Epidemiology and Population Health, School of Public Health and Information Health Sciences, University of Louisville, Louisville, KY, USA
| | - Aruni Bhatnagar
- Christina Lee Brown Envirome Institute, School of Medicine, University of Louisville, Louisville, KY, USA
- Superfund Research Center, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Joy L Hart
- Department of Communication, University of Louisville, Louisville, KY, USA
- Christina Lee Brown Envirome Institute, School of Medicine, University of Louisville, Louisville, KY, USA
- Superfund Research Center, School of Medicine, University of Louisville, Louisville, KY, USA
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3
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Finlay J, Westrick AC, Guzman V, Meltzer G. Neighborhood Built Environments and Health in Later Life: A Literature Review. J Aging Health 2025; 37:3-17. [PMID: 37994863 PMCID: PMC11111591 DOI: 10.1177/08982643231217776] [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] [Indexed: 11/24/2023]
Abstract
Objectives: This literature review aims to assess the current state of the field linking neighborhood environments to later-life health and wellbeing. Methods: We used electronic databases (e.g., PubMed, Google Scholar, and ProQuest) to search for studies published between 2010 and 2022 examining associations between neighborhood built environmental variables and later-life physical, cognitive, mental, and social health outcomes. Results: Among 168 studies reviewed, the majority were quantitative (n = 144) and cross-sectional (n = 122). Neighborhood environmental variables significantly associated with later-life health outcomes included population density/rurality, walkability/street connectivity, access to services and amenities, neighborhood quality and disorder, and parks/green/blue/open space. Neighborhoods operated through behavioral and biological pathways including hazardous exposures, affective states (e.g., stress and restoration), and lifestyle (e.g., exercise, socialization, and diet). Discussion: Neighborhoods and healthy aging research is a burgeoning interdisciplinary and international area of scholarship. Findings can inform upstream community interventions and strengthen clinical care.
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Affiliation(s)
- Jessica Finlay
- Department of Geography, University of Colorado Boulder, Boulder, CO, USA
- Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA
- Social Environment and Health Program, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Ashly C. Westrick
- Center for Social Epidemiology and Population Health, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Viveka Guzman
- Department of Health Psychology, School of Population Health, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Gabriella Meltzer
- Departments of Environmental Health and Epidemiology, Mailman School of Public Health, Columbia University, New York City, NY, USA
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Mulerova TA, Gaziev TF, Bazdyrev ED, Indukaeva EV, Nakhratova OV, Tsygankova DP, Artamonova GV, Barbarash OL. Individually Perceived Parameters of Residential Infrastructure and Their Relationship with Cardiovascular Risk Factors. Healthcare (Basel) 2024; 12:2004. [PMID: 39408184 PMCID: PMC11476190 DOI: 10.3390/healthcare12192004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 10/01/2024] [Accepted: 10/04/2024] [Indexed: 10/20/2024] Open
Abstract
In modern medicine, studies devoted to the assessment of the parameters of residential infrastructure and the population's attitude towards them have become quite large-scale. Objectives: The aim of the study was to establish associations between individually perceived parameters of residential infrastructure and the main modifiable cardiovascular risk factors (hypertension, obesity, lipid and carbohydrate metabolism disorders) in one of the subjects of the Russian Federation. Methods: The epidemiological study "Study of the influence of social factors on chronic non-communicable diseases" started in 2015 and ended in 2023. The sample was formed by using the stratification method based on the assignment to a medical organization. The study included 1598 respondents aged 35 to 70 years (491 rural residents). The study of infrastructure parameters was conducted based on the subjective opinions of respondents using the neighborhood environment walkability scale (NEWS) questionnaire, divided into eight scales. Logistic regression analysis was used to identify associations between infrastructure parameters and cardiovascular risk factors; the odds ratio (OR) and 95% confidence interval were evaluated. Results: Individually perceived infrastructure parameters of the scale B, reflecting the accessibility of infrastructure facilities, were associated with hypertension [OR = 1.33], obesity [OR = 1.40], and abdominal obesity [OR = 1.59]. Elements of the social infrastructure of the scale C, describing the streets in the residential area, increased the likelihood of developing obesity [OR = 1.42] and visceral obesity [OR = 1.43]. The characteristics of the residential area, represented by the scale D that evaluates pedestrian infrastructure, were associated with all major cardiovascular risk factors (hypertension [OR = 1.65], obesity [OR = 1.62] and abdominal obesity [OR = 1.82], and disorders of lipid [OR = 1.41] and carbohydrate metabolism [OR = 1.44]). Conclusion: Social factors represented by various aspects of infrastructure have become important criteria for determining cardiovascular health. Environmental conditions affect cardiovascular risk factors through behavioral patterns that shape the respondent's lifestyle. Interventions in urban planning-increasing accessibility to infrastructure facilities for the population, developing a pedestrian-friendly urban environment, improving physical activity resources in areas, planning recreation areas, and landscaping-can become the most important concept for the prevention of cardiovascular diseases.
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Affiliation(s)
| | | | | | | | - Olga V. Nakhratova
- Research Institute for Complex Issues of Cardiovascular Diseases, 6 Academician Barbarash Boulevard, 650002 Kemerovo, Russia; (T.A.M.); (T.F.G.); (E.D.B.); (E.V.I.); (D.P.T.); (G.V.A.); (O.L.B.)
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Li M, Li Y, Liu Z, Hystad P, Rangarajan S, Tse LA, Lear SA, Ma Y, Chen M, Han G, Li R, Yusuf S, Liu L, Hu B, Li W. Associations of perceived built environment characteristics using NEWS questionnaires with all-cause mortality and major cardiovascular diseases: The prospective urban rural epidemiology (PURE)-China study. ENVIRONMENT INTERNATIONAL 2024; 187:108627. [PMID: 38636273 DOI: 10.1016/j.envint.2024.108627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/31/2024] [Accepted: 04/02/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Despite increased literature focusing on the role of the built environment (BE) in health, few cohort studies have quantitatively analyzed neighborhood walkability environment in relation to the risk of death and cardiovascular disease (CVD). This longitudinal study aimed at evaluating the association between perceived BE attributeswith mortality and major CVD based on the Prospective Urban Rural Epidemiology study in China (PURE-China). METHODS The PURE-China study recruited 47,931 participants aged 35-70 years from 12 provinces of China between 2005 and 2009. The perceived BE information, including land use, street, aesthetics, and safety, was collected using the neighborhood environment walkability scale (NEWS) questionnaire, with higher scores indicating a more favorable rating. Two primary outcomes are all-cause mortality and major CVD event. The Cox frailty model with random intercepts was used to assess the association between the perceived total BE/subscales score and outcomes. RESULTS Of 32,163 participants included in this study, 19,253 (59.9 %) were women, and the mean (SD) age was 51.0 (9.5) years. After a median follow-up period of 11.7 years (IQR 9.4 - 12.2), we observed that one standard deviation higher of combined BE scores was related to a lower risk of all-cause mortality (HR = 0.85; 95 %CI, 0.80-0.90), and major CVD events (HR = 0.95; 95 %CI, 0.90-0.99). The subscales of perceived BE were related to a lower risk, although a few were not significant. Land use mix-diversity and safety from crime were the two most significant subscales. Stronger risks were observed among urban and female participants. CONCLUSION Favorable perceived BE characteristics were linked with a lower risk of all-cause mortality and major CVD events in Chinese population, especially in urban areas and females. Our findings can be used by policymakers to take action to mitigate the adverse effect of poor community conditions on health, such as improving local amenities and transport connectivity, providing building paths for walking, running and cycling.
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Affiliation(s)
- Mengya Li
- Medical Research & Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences Beijing, China
| | - Yang Li
- Medical Research & Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences Beijing, China; Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Zhiguang Liu
- Clinical Trial Unit, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States
| | - Sumathy Rangarajan
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Lap Ah Tse
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR
| | - Scott A Lear
- Faculty of Health Sciences, Simon Fraser University, Vancouver, BC, Canada
| | - Yuanting Ma
- Dongguan Street Community Health Service Center, Xining, Qinghai Province, China
| | - Mengxin Chen
- Medical Research & Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences Beijing, China
| | - Guoliang Han
- Medical Research & Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences Beijing, China
| | - Ruotong Li
- Medical Research & Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences Beijing, China
| | - Salim Yusuf
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Lisheng Liu
- Beijing Hypertension League Institute, Beijing, China.
| | - Bo Hu
- Medical Research & Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences Beijing, China.
| | - Wei Li
- Medical Research & Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences Beijing, China.
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Qin W, Erving CL, Nguyen AW. Trajectories of depressive symptoms among older African Americans: the influence of neighborhood characteristics and gender. Aging Ment Health 2023; 27:2220-2228. [PMID: 37231746 PMCID: PMC10592451 DOI: 10.1080/13607863.2023.2215180] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 05/12/2023] [Indexed: 05/27/2023]
Abstract
OBJECTIVES Focusing on older African Americans, this study aims to (1) identify 9-year trajectories of depressive symptoms, (2) examine the association between baseline neighborhood characteristics (i.e., social cohesion and physical disadvantage) and trajectories of depressive symptoms, and (3) test whether the effects of neighborhood characteristics on depressive symptoms trajectories differ by gender. METHODS Data came from the National Health and Aging Trend Study. Older African Americans at baseline were selected (N = 1662) and followed up for eight rounds. Depressive symptom trajectories were estimated using group-based trajectory modeling. Weighted multinomial logistic regressions were conducted. RESULTS Three trajectories of depressive symptoms were identified: "persistently low," "moderate and increasing," and "high and decreasing" (Objective 1). Objective 2 and 3 were partially supported. Specifically, high perceived neighborhood social cohesion was associated with a lower relative risk of being on the "moderate and increasing" versus the "persistently low" trajectory (RRR = 0.64, p < 0.01). The association between neighborhood physical disadvantage and depressive symptom trajectories was stronger among older African American men compared to women. CONCLUSIONS High levels of neighborhood social cohesion may protect against increasing depressive symptoms in older African Americans. Compared to women, older African American men may be more vulnerable to negative mental health effects of neighborhood physical disadvantage.
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Affiliation(s)
- Weidi Qin
- Population Studies Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Christy L Erving
- Department of Sociology, The University of Texas at Austin, Austin, TX, USA
| | - Ann W Nguyen
- Jack, Joseph and Morton Mandel School of Applied Social Sciences, Case Western Reserve University, Cleveland, OH, USA
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McGuinn LA, Rosa MJ, Osorio-Valencia E, Gutiérrez-Avila I, Martinez-Medina S, Harari H, Kloog I, Wright RJ, Téllez-Rojo M, Wright RO, Tamayo-Ortiz M. Urban Stress and its Association with Symptoms of Depression, Fatigue, and Sleep Disruption in Women in Mexico City. CITIES & HEALTH 2023; 7:830-838. [PMID: 37850027 PMCID: PMC10578658 DOI: 10.1080/23748834.2023.2218159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 05/11/2023] [Indexed: 10/19/2023]
Abstract
Women in urban neighborhoods often face disproportionately higher levels of environmental and social stressors; however, the health effects from urban stressors remains poorly understood. We aimed to evaluate the association between urban stress and symptoms of depression, fatigue, and sleep disruption in a cohort of 460 women in Mexico City. To assess urban stress, women were administered the Urban Annoyances (Nuisances Environnementales) scale. Six constructs were summarized to create an overall index. Depressive symptoms were assessed using the Edinburgh Depression Scale; the Patient-Reported Outcomes Information System scales were used to assess sleep disruption and fatigue. Linear regression models were used to estimate the association with continuous symptoms comparing women with high urban stress to those with lower levels. Models were adjusted for socioeconomic status, education, age, social support, and previous depressive symptoms. High urban stress was associated with greater depressive symptoms (β: 1.77; 95%CI: 0.83, 2.71), fatigue (β: 2.47; 95%CI: 0.87, 4.07), and sleep disruption (β: 2.14; 95%CI: 0.54, 3.73). Urban stress plays an important role in women's psychological and physical health, highlighting the importance of including these measures in environmental health studies. Urban interventions, such as promoting alternative transport options, should additionally be addressed to improve health of urban populations.
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Affiliation(s)
- Laura A. McGuinn
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Family Medicine, University of Chicago, Chicago, IL, USA
| | - Maria José Rosa
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Iván Gutiérrez-Avila
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Homero Harari
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rosalind J. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Kravis Children’s Hospital, Department of Pediatrics, Division of Pediatric Pulmonology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mara Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico
| | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marcela Tamayo-Ortiz
- Occupational Health Research Unit, Mexican Institute of Social Security (IMSS), Mexico City, Mexico
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8
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Zhu J, Kodali H, Wyka KE, Huang TTK. Perceived neighborhood environment walkability and health-related quality of life among predominantly Black and Latino adults in New York City. BMC Public Health 2023; 23:127. [PMID: 36653809 PMCID: PMC9847133 DOI: 10.1186/s12889-022-14973-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/30/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Measures of the built environment such as neighborhood walkability have been associated with health behaviors such as physical activity, the lack of which in turn may contribute to the development of diseases such as obesity, diabetes, cardiovascular disease, and cancer. However, limited research has examined these measures in association with health-related quality of life (HR-QoL), particularly in minoritized populations. We examined the relationship between perceived neighborhood environment and HR-QoL in a sample of mostly Black and Latino residents in New York City (NYC). METHODS This study utilized the baseline survey data from the Physical Activity and Redesigned Community Spaces (PARCS) Study among 1252 residents [34.6% Black, 54.1% Latino, 80.1% female, mean(±SD) age = 38.8 ± 12.5) in 54 park neighborhoods in NYC. Perceived built environment was measured using Neighborhood Environment and Walkability Survey, and mental and physical HR-QoL was estimated using Short Form (SF)-12. Using factor analysis, we identified two subscales of neighborhood walkability: enablers (e.g., trails, sidewalks, esthetics) vs. barriers (e.g., high crime and traffic). In addition, we included a third subscale on neighborhood satisfaction. Generalized Estimating Equation models adjusted for demographics and BMI and accounted for the clustering effect within neighborhood. Multiple imputation was used to account for missing data. RESULTS Mental HR-QoL was associated with barriers of walkability (β ± SE = - 1.63 ± 0.55, p < 0.01) and neighborhood satisfaction (β ± SE = 1.55 ± 0.66, p = 0.02), after adjusting for covariates. Physical HR-QoL was associated with only barriers of walkability (β ± SE = - 1.13 ± 0.57, p < 0.05). CONCLUSIONS Among NYC residents living in minoritized neighborhoods, mitigating negative aspects of the neighborhood environment may be more crucial than adding positive features in terms of HR-QoL. Our study points to the need to investigate further the role of the built environment in urban, minoritized communities.
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Affiliation(s)
- Jiaqi Zhu
- Center for Systems and Community Design, Graduate School of Public Health & Health Policy, City University of New York (CUNY), 55 West 125th Street, New York, NY, 10027, USA
| | - Hanish Kodali
- Center for Systems and Community Design, Graduate School of Public Health & Health Policy, City University of New York (CUNY), 55 West 125th Street, New York, NY, 10027, USA
| | - Katarzyna E Wyka
- Center for Systems and Community Design, Graduate School of Public Health & Health Policy, City University of New York (CUNY), 55 West 125th Street, New York, NY, 10027, USA
| | - Terry T-K Huang
- Center for Systems and Community Design, Graduate School of Public Health & Health Policy, City University of New York (CUNY), 55 West 125th Street, New York, NY, 10027, USA.
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Molina-Martínez MÁ, Marsillas S, Sánchez-Román M, del Barrio E. Friendly Residential Environments and Subjective Well-Being in Older People with and without Help Needs. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15832. [PMID: 36497900 PMCID: PMC9741280 DOI: 10.3390/ijerph192315832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/14/2022] [Accepted: 11/17/2022] [Indexed: 06/17/2023]
Abstract
Previous studies have shown that friendly environments are associated with well-being and higher quality of life in older people. This study aimed to investigate the relationship between friendly environments and subjective well-being by segmenting the population according to the need for help in performing activities of daily living (ADLs) in a representative sample of people over 55 years of age in the Basque Country (Spain) (n = 2760). To determine the predictive power of friendliness on subjective well-being, two separate linear regression models were obtained according to the need for help in ADLs. The results obtained show a greater explanatory power of the model in the case of people who required help. However, in the case of people who do not need help, subjective health had a greater weight in the predictions. This paper's findings support the greater importance of the characteristics of the physical and social environment, as people's functional status worsens, with friendliness being an explanatory factor for people's well-being as they age and their dependency increases.
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Affiliation(s)
- María Ángeles Molina-Martínez
- Faculty of Psychology, Universidad Nacional de Educación a Distancia (UNED), 28040 Madrid, Spain
- ENCAGEn-CM R&D Programme, Faculty of Education and Psychology, Francisco de Vitoria University, 28223 Madrid, Spain
| | | | - María Sánchez-Román
- ENCAGEn-CM R&D Programme, Research Group on Ageing (GIE-CSIC), Institute of Economics, Geography and Demography (IEGD-CSIC), Spanish National Research Council (CSIC), 28037 Madrid, Spain
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10
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Bogoian HR, Dotson VM. Vascular depression in Black Americans: A systematic review of the construct and its cognitive, functional, and psychosocial correlates. Clin Neuropsychol 2022; 36:431-461. [PMID: 34098846 PMCID: PMC10450356 DOI: 10.1080/13854046.2021.1933188] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 05/14/2021] [Accepted: 05/18/2021] [Indexed: 10/21/2022]
Abstract
Objective: Vascular burden is associated with cognitive deficits and a form of late-life depression, vascular depression (VaDep), which is marked by decreased white matter integrity, executive dysfunction, poor treatment response, and functional disability. Older Black Americans represent a vulnerable population at risk of developing VaDep, but the literature in this group is limited. Thus, the goal of this systematic review is to summarize the existing literature that informs our understanding of VaDep in older Black Americans, including cognitive, functional, and psychosocial outcomes. Method: Following Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines, studies were identified that examined the relationship between vascular disease or vascular risk factors and that either had a sample of at least 75% Black participants or conducted race-specific analyses. Thirty studies met all inclusion criterion based on review of both authors. Results: Overall, studies support the construct of VaDep in older Black Americans. There is preliminary support for VaDep-related cognitive and functional deficits, and mixed findings regarding racial disparities in prevalence of VaDep. Conclusion: This review underscores the need for further neuroimaging and neuropsychological research in Black older adults with comorbid depression and vascular disease. Findings also highlight the importance of screening for depressive symptoms in Black individuals with multiple vascular risk factors.
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Affiliation(s)
- Hannah R Bogoian
- Department of Psychology, Georgia State University, Atlanta, USA
| | - Vonetta M Dotson
- Department of Psychology, Georgia State University, Atlanta, USA
- Neuroscience Institute, Georgia State University, Atlanta, USA
- Gerontology Institute, Georgia State University, Atlanta, USA
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11
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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: 14] [Impact Index Per Article: 3.5] [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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12
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Tsuboi H, Takakura Y, Tsujiguchi H, Miyagi S, Suzuki K, Nguyen TTT, Pham KO, Shimizu Y, Kambayashi Y, Yoshida N, Hara A, Nakamura H. Validation of the Japanese Version of the Center for Epidemiologic Studies Depression Scale-Revised: A Preliminary Analysis. Behav Sci (Basel) 2021; 11:bs11080107. [PMID: 34436097 PMCID: PMC8389265 DOI: 10.3390/bs11080107] [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: 06/09/2021] [Revised: 07/12/2021] [Accepted: 07/20/2021] [Indexed: 12/04/2022] Open
Abstract
To make the Japanese version of the CESD-R—a revised version of the Center for Epidemiologic Studies depression scale (CES-D)—in the assessment of depressive symptoms in a general population. The English version of CESD-R was translated into Japanese, and back-translated into English by three native speakers of Japanese and English; then, we selected the version most completely consistent with the original items. The CESD-R was applied to 398 community-dwelling people (191 men: 48.0%, and 207 women: 52.0%) who were over 40 years old. The Japanese version of the CES-D was also carried out in the same population. Factor analysis was performed. Additionally, the correlations between the CESD-R and CES-D results were identified. The CESD-R scores showed a significantly positive correlation with CES-D scores (r = 0.74, p < 0.0005). Analysis of the CESD-R yielded a Cronbach’s alpha result of 0.90. Factor analysis revealed one principal factor in the CESD-R, whereas the original CES-D had two factors because of reversed items. The Japanese version of the CESD-R appears to have the reliability to be applicable for assessing depressive symptoms in population-based samples. However, because the Japanese expressions for some items might be unusual, our study population was also limited; further studies on other populations and on incorporating improved Japanese terminology will be needed.
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Affiliation(s)
- Hirohito Tsuboi
- Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa 920-1192, Japan; (Y.T.); (N.Y.)
- Correspondence:
| | - Yui Takakura
- Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa 920-1192, Japan; (Y.T.); (N.Y.)
| | - Hiromasa Tsujiguchi
- Department of Hygiene and Public Health, Graduate School of Medicine, Kanazawa University, Kanazawa 920-8640, Japan; (H.T.); (K.S.); (A.H.); (H.N.)
| | - Sakae Miyagi
- Innovative Clinical Research Center, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Japan;
| | - Keita Suzuki
- Department of Hygiene and Public Health, Graduate School of Medicine, Kanazawa University, Kanazawa 920-8640, Japan; (H.T.); (K.S.); (A.H.); (H.N.)
| | - Thao Thi Thu Nguyen
- Department of Epidemiology, Faculty of Public Health, Haiphong University of Medicine and Pharmacy, 72A Nguyen Binh Khiem, Ngo Quyen, Hai Phong 042-12, Vietnam;
| | - Kim Oanh Pham
- Department of Environmental and Preventive Medicine, Graduate School of Medical Science, Kanazawa University, 1-13 Takaramachi, Kanazawa 920-8640, Japan;
| | - Yukari Shimizu
- Department of Nursing, Faculty of Health Sciences, Komatsu University, 1-14 Mukaimotoorimachi, Komatsu 923-0961, Japan;
| | - Yasuhiro Kambayashi
- Department of Public Health, Faculty of Veterinary Medicine, Okayama University of Science, 1-3 Ikoinooka, Imabari 794-8555, Japan;
| | - Naoko Yoshida
- Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa 920-1192, Japan; (Y.T.); (N.Y.)
| | - Akinori Hara
- Department of Hygiene and Public Health, Graduate School of Medicine, Kanazawa University, Kanazawa 920-8640, Japan; (H.T.); (K.S.); (A.H.); (H.N.)
| | - Hiroyuki Nakamura
- Department of Hygiene and Public Health, Graduate School of Medicine, Kanazawa University, Kanazawa 920-8640, Japan; (H.T.); (K.S.); (A.H.); (H.N.)
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13
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Tamura K, Curlin K, Neally SJ, Vijayakumar NP, Mitchell VM, Collins BS, Gutierrez-Huerta C, Troendle JF, Baumer Y, Osei Baah F, Turner BS, Gray V, Tirado BA, Ortiz-Chaparro E, Berrigan D, Mehta NN, Vaccarino V, Zenk SN, Powell-Wiley TM. Geospatial Analysis of Neighborhood Environmental Stress in Relation to Biological Markers of Cardiovascular Health and Health Behaviors in Women: Protocol for a Pilot Study. JMIR Res Protoc 2021; 10:e29191. [PMID: 34292168 PMCID: PMC8367127 DOI: 10.2196/29191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 11/26/2022] Open
Abstract
Background Innovative analyses of cardiovascular (CV) risk markers and health behaviors linked to neighborhood stressors are essential to further elucidate the mechanisms by which adverse neighborhood social conditions lead to poor CV outcomes. We propose to objectively measure physical activity (PA), sedentary behavior, and neighborhood stress using accelerometers, GPS, and real-time perceived ecological momentary assessment via smartphone apps and to link these to biological measures in a sample of White and African American women in Washington, DC, neighborhoods. Objective The primary aim of this study is to test the hypothesis that living in adverse neighborhood social conditions is associated with higher stress-related neural activity among 60 healthy women living in high or low socioeconomic status neighborhoods in Washington, DC. Sub-aim 1 of this study is to test the hypothesis that the association is moderated by objectively measured PA using an accelerometer. A secondary objective is to test the hypothesis that residing in adverse neighborhood social environment conditions is related to differences in vascular function. Sub-aim 2 of this study is to test the hypothesis that the association is moderated by objectively measured PA. The third aim of this study is to test the hypothesis that adverse neighborhood social environment conditions are related to differences in immune system activation. Methods The proposed study will be cross-sectional, with a sample of at least 60 women (30 healthy White women and 30 healthy Black women) from Wards 3 and 5 in Washington, DC. A sample of the women (n=30) will be recruited from high-income areas in Ward 3 from census tracts within a 15% of Ward 3’s range for median household income. The other participants (n=30) will be recruited from low-income areas in Wards 5 from census tracts within a 15% of Ward 5’s range for median household income. Finally, participants from Wards 3 and 5 will be matched based on age, race, and BMI. Participants will wear a GPS unit and accelerometer and report their stress and mood in real time using a smartphone. We will then examine the associations between GPS-derived neighborhood variables, stress-related neural activity measures, and adverse biological markers. Results The National Institutes of Health Institutional Review Board has approved this study. Recruitment will begin in the summer of 2021. Conclusions Findings from this research could inform the development of multilevel behavioral interventions and policies to better manage environmental factors that promote immune system activation or psychosocial stress while concurrently working to increase PA, thereby influencing CV health. International Registered Report Identifier (IRRID) PRR1-10.2196/29191
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Affiliation(s)
- Kosuke Tamura
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Kaveri Curlin
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Sam J Neally
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Nithya P Vijayakumar
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Valerie M Mitchell
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Billy S Collins
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Cristhian Gutierrez-Huerta
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - James F Troendle
- Office of Biostatistics Research, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Foster Osei Baah
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Briana S Turner
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Veronica Gray
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Brian A Tirado
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Erika Ortiz-Chaparro
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - David Berrigan
- Health Behaviors Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Shady Grove, MD, United States
| | - Nehal N Mehta
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.,Department of Medicine, School of Medicine, Emory University, Atlanta, GA, United States
| | - Shannon N Zenk
- National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, United States
| | - Tiffany M Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.,Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States
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