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Satapathy P, Khatib MN, Gaidhane S, Zahiruddin QS, Gaidhane AM, Rustagi S, Serhan HA, Padhi BK. Association of neighborhood deprivation and hypertension: A systematic review and meta-analysis. Curr Probl Cardiol 2024; 49:102438. [PMID: 38301916 DOI: 10.1016/j.cpcardiol.2024.102438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 01/29/2024] [Indexed: 02/03/2024]
Abstract
BACKGROUND Hypertension impacts nearly one billion individuals and is a primary health challenge. While traditional perspectives have focused on individual behavior and genetics as principal risk factors, recent research underscores the profound influence of socioeconomic factors within neighborhoods on the risk of hypertension. This systematic review and meta-analysis is aimed to elucidate the association between neighborhood deprivation and the risk of hypertension. METHODS A comprehensive literature search was conducted across PubMed, Embase, and Web of Science from inception until December 25, 2023. Observational studies defining neighborhood deprivation and reporting hypertension incidence were included. Nested Knowledge software was used for screening and data extraction, with study quality assessed using the Newcastle-Ottawa Scale. Statistical analysis was performed with R software (V 4.3), using a random-effects model to calculate the pooled relative risk (RR). RESULTS Twenty-six studies were included in the qualitative analysis and 22 in the meta-analysis, covering over 62 million participants. The pooled RR was 1.139 (95% CI: 1.006 - 1.290), p=0.04, indicating a higher hypertension risk in deprived neighborhoods. Subgroup analyses showed variability by country and deprivation assessment methods. RR varied from 1.00 in Japan (95% CI: 0.93-1.08) to 1.60 (95% CI: 1.07-2.39) in France and 1.57 (95% CI: 0.67-3.70) in Germany, with significant heterogeneity observed in measures of neighborhood deprivation. CONCLUSION Our analysis confirms a significant association between neighborhood deprivation and hypertension, underscoring the importance of socioeconomic factors in public health. It highlights the need for targeted local assessments and interventions. Future research should explore the causal mechanisms and effectiveness of interventions addressing neighborhood deprivation.
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Affiliation(s)
- Prakasini Satapathy
- Center for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India; School of Pharmacy, Graphic Era Hill University, Dehradun, India; Medical Laboratories Techniques Department, AL-Mustaqbal University, Hillah, Babil 51001, Iraq
| | - Mahalaqua Nazli Khatib
- Division of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India
| | - Shilpa Gaidhane
- One Health Centre (COHERD), Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education, Wardha, India
| | - Quazi Syed Zahiruddin
- South Asia Infant Feeding Research Network (SAIFRN), Division of Evidence Synthesis, Global Consortium of Public Health and Research, Datta Meghe Institute of Higher Education, Wardha, India
| | - Abhay M Gaidhane
- Jawaharlal Nehru Medical College, and Global Health Academy, School of Epidemiology and Public Health, Datta Meghe Institute of Higher Education, Wardha, India
| | - Sarvesh Rustagi
- School of Applied and Life Sciences, Uttaranchal University, Dehradun, Uttarakhand, India
| | - Hashem Abu Serhan
- Department of Ophthalmology, Hamad Medical Corporation, Doha, Qatar.
| | - Bijaya K Padhi
- Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India.
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Savin KL, Carlson JA, Patel SR, Jankowska MM, Allison MA, Sotres-Alvarez D, Sallis JF, Talavera GA, Roesch SC, Malcarne VL, Larsen B, Rutledge T, Gallo LC. Social and built neighborhood environments and sleep health: The Hispanic Community Health Study/Study of Latinos Community and Surrounding Areas and Sueño Ancillary Studies. Sleep 2024; 47:zsad260. [PMID: 37788570 PMCID: PMC10851842 DOI: 10.1093/sleep/zsad260] [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: 05/10/2023] [Revised: 09/15/2023] [Indexed: 10/05/2023] Open
Abstract
STUDY OBJECTIVES To test associations between neighborhood social, built, and ambient environment characteristics and multidimensional sleep health in Hispanic/Latino adults. METHODS Data were from San Diego-based Hispanic/Latino adults mostly of Mexican heritage enrolled in the Hispanic Community Health Study/Study of Latinos (N = 342). Home addresses were geocoded to ascertain neighborhood characteristics of greenness, walkability (density of intersections, retail spaces, and residences), socioeconomic deprivation (e.g. lower income, lower education), social disorder (e.g. vacant buildings, crime), traffic density, and air pollution (PM 2.5) in the Study of Latinos Communities and Surrounding Areas Study. Sleep dimensions of regularity, satisfaction, alertness, timing, efficiency, and duration were measured by self-report or actigraphy approximately 2 years later. Multivariable regression models accounting for study design (stratification and clustering) were used to examine associations of neighborhood variables with individual sleep dimensions and a multidimensional sleep health composite score. RESULTS Neighborhood characteristics were not significantly associated with the multidimensional sleep health composite, and there were few significant associations with individual sleep dimensions. Greater levels of air pollution (B = 9.03, 95% CI: 1.16, 16.91) were associated with later sleep midpoint, while greater social disorder (B = -6.90, 95% CI: -13.12, -0.67) was associated with earlier sleep midpoint. Lower walkability was associated with more wake after sleep onset (B = -3.58, 95% CI: -7.07, -0.09). CONCLUSIONS Living in neighborhoods with lower walkability and greater air pollution was associated with worse sleep health, but otherwise findings were largely null. Future research should test these hypotheses in settings with greater variability and investigate mechanisms of these associations.
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Affiliation(s)
- Kimberly L Savin
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Jordan A Carlson
- Center for Children’s Health Lifestyles and Nutrition, Children’s Mercy Kansas City, Kansas City, MO, USA
- Department of Pediatrics, Children’s Mercy Kansas City and University of Missouri Kansas City, Kansas City, MO, USA
| | - Sanjay R Patel
- Center for Sleep and Cardiovascular Outcomes Research, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Matthew A Allison
- Department of Family Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James F Sallis
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Gregory A Talavera
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Scott C Roesch
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Vanessa L Malcarne
- Department of Psychology, San Diego State University, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Britta Larsen
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Thomas Rutledge
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Department of Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
| | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, CA, USA
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Ma Q, Cheng C, Chen Y, Wang Q, Li B, Wang P. Effect and prediction of physical exercise and diet on blood pressure control in patients with hypertension. Medicine (Baltimore) 2023; 102:e36612. [PMID: 38115342 PMCID: PMC10727525 DOI: 10.1097/md.0000000000036612] [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: 05/08/2023] [Revised: 08/07/2023] [Accepted: 11/21/2023] [Indexed: 12/21/2023] Open
Abstract
The study aims to explore the current status of hypertension control and its predictors in patients with hypertension in China and provide evidence for preventing and controlling hypertension. A questionnaire survey was conducted among 300 hypertensive patients who visited the Second Affiliated Hospital of Anhui Medical University from February 20, 2023 to March 11, 2023. The patients were divided into a well-controlled group and an untargeted-control group according to their hypertension control status. A total of 294 subjects, including 83 in the well-controlled group and 211 in the untargeted-control group, were included in the analysis. Multivariate logistic regression analysis showed that hypertensive patients with high BMI and family history of hypertension were risk factors for hypertension control. Married status was a protective factor for hypertension control. SVM optimized the model with γ = 0.001 and a penalty factor of C = 0.001. The prediction accuracy of the final model was 80.9%. The findings indicated that BMI, family history of hypertension, and marital status were independent predictors of blood pressure control. Further studies are warranted to illustrate potential mechanisms for improving hypertensive patients' blood pressure control.
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Affiliation(s)
- Qiang Ma
- Department of Police Physical Skills Training, Anhui Vocational College of Police Officers, Hefei, China
| | - Cheng Cheng
- Department of Cardiovascular Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yuenan Chen
- School of Pharmacy, Anhui Medical University, Hefei, China
| | - Qianya Wang
- School of Clinical Medicine, Anhui Medical University, Hefei, China
| | - Baozhu Li
- School of Public Health, Anhui Medical University, Hefei, China
| | - Ping Wang
- School of Innovation and Entrepreneurship, Anhui Medical University, Hefei, China
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Pirzada A, Cai J, Cordero C, Gallo LC, Isasi CR, Kunz J, Thyagaragan B, Wassertheil-Smoller S, Daviglus ML. Risk Factors for Cardiovascular Disease: Knowledge Gained from the Hispanic Community Health Study/Study of Latinos. Curr Atheroscler Rep 2023; 25:785-793. [PMID: 37773246 DOI: 10.1007/s11883-023-01152-9] [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] [Accepted: 09/11/2023] [Indexed: 10/01/2023]
Abstract
PURPOSE OF REVIEW The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) has made important contributions on the prevalence of and factors associated with cardiovascular disease (CVD) risk factors among diverse Hispanic/Latino adults in the US. This article summarizes the knowledge gained thus far on major CVD risk factors from this landmark study. RECENT FINDINGS HCHS/SOL demonstrated the sizeable burdens of CVD risk in all major Hispanic/Latino groups in the US, as well as the marked variations in prevalence of hypertension, hypercholesterolemia, diabetes, obesity, and smoking by sex and background. It also identified sociodemographic, lifestyle, and sociocultural characteristics associated with risk factors. HCHS/SOL has yielded an expanding body of literature on characteristics associated with adverse CVD risk factors in this population. Long-term follow-up of this cohort will shed further light on the observed heterogeneity in CVD risk across Hispanic/Latino groups and identify specific risk/protective factors driving these variations.
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Affiliation(s)
- Amber Pirzada
- Institute for Minority Health Research, University of Illinois Chicago, 1819 W. Polk Street, Suite 246, Chicago, IL, 60612, USA.
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - John Kunz
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bharat Thyagaragan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | | | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois Chicago, 1819 W. Polk Street, Suite 246, Chicago, IL, 60612, USA
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Lai KY, Webster C, Gallacher JE, Sarkar C. Associations of Urban Built Environment with Cardiovascular Risks and Mortality: a Systematic Review. J Urban Health 2023; 100:745-787. [PMID: 37580546 PMCID: PMC10447831 DOI: 10.1007/s11524-023-00764-5] [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] [Accepted: 06/28/2023] [Indexed: 08/16/2023]
Abstract
With rapid urbanization, built environment has emerged as a set of modifiable factors of cardiovascular disease (CVD) risks. We conducted a systematic review to synthesize evidence on the associations of attributes of urban built environment (e.g. residential density, land use mix, greenness and walkability) with cardiovascular risk factors (e.g. hypertension and arterial stiffness) and major CVD events including mortality. A total of 63 studies, including 31 of cross-sectional design and 32 of longitudinal design conducted across 21 geographical locations and published between 2012 and 2023 were extracted for review. Overall, we report moderately consistent evidence of protective associations of greenness with cardiovascular risks and major CVD events (cross-sectional studies: 12 of 15 on hypertension/blood pressure (BP) and 2 of 3 on arterial stiffness; and longitudinal studies: 6 of 8 on hypertension/BP, 7 of 8 on CVD mortality, 3 of 3 on ischemic heart disease mortality and 5 of 8 studies on stroke hospitalization or mortality reporting significant inverse associations). Consistently, walkability was associated with lower risks of hypertension, arterial stiffness and major CVD events (cross-sectional studies: 11 of 12 on hypertension/BP and 1 of 1 on arterial stiffness; and longitudinal studies: 3 of 6 on hypertension/BP and 1 of 2 studies on CVD events being protective). Sixty-seven percent of the studies were rated as "probably high" risk of confounding bias because of inability to adjust for underlying comorbidities/family history of diseases in their statistical models. Forty-six percent and 14% of the studies were rated as "probably high" risk of bias for exposure and outcome measurements, respectively. Future studies with robust design will further help elucidate the linkages between urban built environment and cardiovascular health, thereby informing planning policies for creating healthy cities.
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Affiliation(s)
- Ka Yan Lai
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China.
- Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China.
| | - Chris Webster
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Urban Systems Institute, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - John Ej Gallacher
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Chinmoy Sarkar
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
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Schiff MD, Mair CF, Barinas-Mitchell E, Brooks MM, Méndez DD, Naimi AI, Reeves A, Hedderson M, Janssen I, Fabio A. Longitudinal profiles of neighborhood socioeconomic vulnerability influence blood pressure changes across the female midlife period. Health Place 2023; 82:103033. [PMID: 37141837 PMCID: PMC10407757 DOI: 10.1016/j.healthplace.2023.103033] [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] [Received: 02/02/2023] [Revised: 04/17/2023] [Accepted: 04/21/2023] [Indexed: 05/06/2023]
Abstract
PURPOSE To examine whether longitudinal exposure to neighborhood socioeconomic vulnerability influences blood pressure changes throughout midlife in a racially, ethnically, and geographically-diverse cohort of women transitioning through menopause. METHODS We used longitudinal data on 2738 women (age 42-52 at baseline) living in six United States cities from The Study of Women's Health Across the Nation. Residential histories, systolic blood pressures (SBP), and diastolic blood pressures (DBP) were collected annually for ten years. We used longitudinal latent profile analysis to identify patterns of neighborhood socioeconomic vulnerability occurring from 1996 to 2007 in participant neighborhoods. We used linear mixed-effect models to determine if a woman's neighborhood profile throughout midlife was associated with blood pressure changes. RESULTS We identified four unique profiles of neighborhood socioeconomic vulnerability - differentiated by residential socioeconomic status, population density, and vacant housing conditions - which remained stable across time. Women residing in the most socioeconomically vulnerable neighborhoods experienced the steepest increase in annual SBP growth by 0.93 mmHg/year (95% CI: 0.65-1.21) across ten-year follow-up. CONCLUSIONS Neighborhood socioeconomic vulnerability was significantly associated with accelerated SBP increases throughout midlife among women.
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Affiliation(s)
- Mary D Schiff
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States
| | - Christina F Mair
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States; Department of Behavioral and Community Health Sciences, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States
| | - Emma Barinas-Mitchell
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States
| | - Maria M Brooks
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States
| | - Dara D Méndez
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States
| | - Ashley I Naimi
- Department of Epidemiology, School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, United States
| | - Alexis Reeves
- Department of Epidemiology and Population Health, School of Medicine, Stanford University, Palo Alto, 291 Campus Drive, Stanford, CA, 94305, United States
| | - Monique Hedderson
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, United States
| | - Imke Janssen
- Department of Preventive Medicine, Rush University Medical Center, 1620 W Harrison St, Chicago, IL, 60612, United States
| | - Anthony Fabio
- Department of Epidemiology, School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, United States.
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Vintimilla R, Seyedahmadi A, Hall J, Johnson L, O’Bryant S. Association of Area Deprivation Index and hypertension, diabetes, dyslipidemia, and Obesity: A Cross-Sectional Study of the HABS-HD Cohort. Gerontol Geriatr Med 2023; 9:23337214231182240. [PMID: 37361029 PMCID: PMC10286155 DOI: 10.1177/23337214231182240] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/09/2023] [Accepted: 05/29/2023] [Indexed: 06/28/2023] Open
Abstract
Objective: This study aims to investigate the association between neighborhood deprivation and the prevalence of major cardiovascular disease (CVD) risk factors (hypertension, diabetes, dyslipidemia, and obesity) in a Mexican American (MA) population compared to NonHispanic Whites (NHW). Method: A cross-sectional analysis was conducted to include 1,867 subjects (971 MA and 896 NHW). Participants underwent a clinical interview, neuropsychological exam battery, functional examination, MRI of the head, amyloid PET scan, and blood draw for clinical and biomarker analysis. We use the Area Deprivation Index (ADI) Model to assign an ADI score to participants based on their neighborhoods. Descriptive, Cochran-Armitage test for trend, and odds ratio statistical analysis were applied. Results: Our results suggest that NHW had higher odds of having HTN, DM, and obesity in the most deprived neighborhoods, while MA showed no increased odds. The study also found that neighborhood deprivation contributed to diabetes in both MA and NHW and was associated with obesity in NHW. Conclusions: These findings highlighted the importance of addressing both individual and societal factors in efforts to reduce cardiovascular risk. Future research should explore the relationship between socio-economic status and cardiovascular risk in more detail to inform the development of targeted interventions.
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Affiliation(s)
- Raul Vintimilla
- University of North Texas Health Science Center, Fort Worth, USA
| | | | - James Hall
- University of North Texas Health Science Center, Fort Worth, USA
| | - Leigh Johnson
- University of North Texas Health Science Center, Fort Worth, USA
| | - Sid O’Bryant
- University of North Texas Health Science Center, Fort Worth, USA
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Sallis JF, Carlson JA, Ortega A, Allison MA, Geremia CM, Sotres-Alvarez D, Jankowska MM, Mooney SJ, Chambers EC, Hanna DB, Perreira KM, Daviglus ML, Gallo LC. Micro-scale pedestrian streetscapes and physical activity in Hispanic/Latino adults: Results from HCHS/SOL. Health Place 2022; 77:102857. [PMID: 36027739 DOI: 10.1016/j.healthplace.2022.102857] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 06/23/2022] [Accepted: 06/30/2022] [Indexed: 11/29/2022]
Abstract
We examined associations of micro-scale environment attributes (e.g., sidewalks, street crossings) with three physical activity (PA) measures among Hispanic/Latino adults (n = 1776) living in San Diego County, CA. Systematic observation was used to quantify micro-scale environment attributes near each participant's home. Total PA was assessed with accelerometers, and PA for transportation and recreation were assessed by validated self-report. Although several statistically significant interactions between individual and neighborhood characteristics were identified, there was little evidence micro-scale attributes were related to PA. An important limitation was restricted environmental variability for this sample which lived in a small area of a single county.
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Affiliation(s)
- James F Sallis
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, MC 0631, La Jolla, CA, USA.
| | - Jordan A Carlson
- Center for Children's Healthy Lifestyles and Nutrition, Children's Mercy, Kansas City, MO, USA
| | - Adrian Ortega
- Clinical Child Psychology Program, University of Kansas, Lawrence, KS, USA
| | - Matthew A Allison
- Department of Family Medicine, University of California, La Jolla, CA, USA
| | - Carrie M Geremia
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, MC 0631, La Jolla, CA, USA
| | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Marta M Jankowska
- Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Stephen J Mooney
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Earle C Chambers
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Family and Social Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - David B Hanna
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Krista M Perreira
- Department of Social Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, CA, USA
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9
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Lloyd-Jones DM, Allen NB, Anderson CAM, Black T, Brewer LC, Foraker RE, Grandner MA, Lavretsky H, Perak AM, Sharma G, Rosamond W. Life's Essential 8: Updating and Enhancing the American Heart Association's Construct of Cardiovascular Health: A Presidential Advisory From the American Heart Association. Circulation 2022; 146:e18-e43. [PMID: 35766027 PMCID: PMC10503546 DOI: 10.1161/cir.0000000000001078] [Citation(s) in RCA: 565] [Impact Index Per Article: 282.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
In 2010, the American Heart Association defined a novel construct of cardiovascular health to promote a paradigm shift from a focus solely on disease treatment to one inclusive of positive health promotion and preservation across the life course in populations and individuals. Extensive subsequent evidence has provided insights into strengths and limitations of the original approach to defining and quantifying cardiovascular health. In response, the American Heart Association convened a writing group to recommend enhancements and updates. The definition and quantification of each of the original metrics (Life's Simple 7) were evaluated for responsiveness to interindividual variation and intraindividual change. New metrics were considered, and the age spectrum was expanded to include the entire life course. The foundational contexts of social determinants of health and psychological health were addressed as crucial factors in optimizing and preserving cardiovascular health. This presidential advisory introduces an enhanced approach to assessing cardiovascular health: Life's Essential 8. The components of Life's Essential 8 include diet (updated), physical activity, nicotine exposure (updated), sleep health (new), body mass index, blood lipids (updated), blood glucose (updated), and blood pressure. Each metric has a new scoring algorithm ranging from 0 to 100 points, allowing generation of a new composite cardiovascular health score (the unweighted average of all components) that also varies from 0 to 100 points. Methods for implementing cardiovascular health assessment and longitudinal monitoring are discussed, as are potential data sources and tools to promote widespread adoption in policy, public health, clinical, institutional, and community settings.
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