BACKGROUND: The concept of cardiovascular health (CVH) was introduced as a global measure of one's burden of cardiovsacular risk factors. Previous studies established the relationship between neighborhood characteristics and individual cardiovascular risk factors. However, the relationship between neighborhood environment and overall CVH remains unknown. METHODS AND RESULTS: We analyzed data from the Multi-Ethnic Study of Atherosclerosis baseline examination (2000–2002). Mean age was 61.6 years, and 52% were women. Ideal, intermediate, and poor categories of cholesterol, body mass index, diet, physical activity, fasting glucose, blood pressure, and smoking were defined according to the American Heart Association 2020 Strategic Goals, assigned an individual score, and summed to create an overall score. CVH scores were categorized into ideal (11–14 points), intermediate (9–10), and poor (0–8). Neighborhood exposures included favorable food store and physical activity resources densities (by 1-mile buffer), reported healthy food availability,walking/physical activity environment, safety, and social cohesion (by census tract). Multinomial logistic regression was used to determine the association of each characteristic with ideal and intermediate CVH, adjusted for demographics and neighborhood socioeconomic status. Over 20% of Multi-Ethnic Study of Atherosclerosis participants had an ideal CVH score at baseline. In fully adjusted models, favorable food stores (odds ratio=1.22; 1.06–1.40), physical activity resources(odds ratio=1.19; 1.08–1.31), walking/physical activity environment (odds ratio=1.20; 1.05–1.37), and neighborhood socioeconomic status (odds ratio=1.22; 1.11–1.33) were associated with higher odds of having an ideal CVH score. CONCLUSIONS: Neighborhood environment including favorable food stores, physical activity resources, walking/physical activity environment, and neighborhood socioeconomic status are associated with ideal CVH. Further research is needed to investigate the longitudinal associations between neighborhood environment and CVH.
BACKGROUND: The concept of cardiovascular health (CVH) was introduced as a global measure of one's burden of cardiovsacular risk factors. Previous studies established the relationship between neighborhood characteristics and individual cardiovascular risk factors. However, the relationship between neighborhood environment and overall CVH remains unknown. METHODS AND RESULTS: We analyzed data from the Multi-Ethnic Study of Atherosclerosis baseline examination (2000–2002). Mean age was 61.6 years, and 52% were women. Ideal, intermediate, and poor categories of cholesterol, body mass index, diet, physical activity, fasting glucose, blood pressure, and smoking were defined according to the American Heart Association 2020 Strategic Goals, assigned an individual score, and summed to create an overall score. CVH scores were categorized into ideal (11–14 points), intermediate (9–10), and poor (0–8). Neighborhood exposures included favorable food store and physical activity resources densities (by 1-mile buffer), reported healthy food availability,walking/physical activity environment, safety, and social cohesion (by census tract). Multinomial logistic regression was used to determine the association of each characteristic with ideal and intermediate CVH, adjusted for demographics and neighborhood socioeconomic status. Over 20% of Multi-Ethnic Study of Atherosclerosisparticipants had an ideal CVH score at baseline. In fully adjusted models, favorable food stores (odds ratio=1.22; 1.06–1.40), physical activity resources(odds ratio=1.19; 1.08–1.31), walking/physical activity environment (odds ratio=1.20; 1.05–1.37), and neighborhood socioeconomic status (odds ratio=1.22; 1.11–1.33) were associated with higher odds of having an ideal CVH score. CONCLUSIONS: Neighborhood environment including favorable food stores, physical activity resources, walking/physical activity environment, and neighborhood socioeconomic status are associated with ideal CVH. Further research is needed to investigate the longitudinal associations between neighborhood environment and CVH.
Authors: Aaron R Folsom; Hiroshi Yatsuya; Jennifer A Nettleton; Pamela L Lutsey; Mary Cushman; Wayne D Rosamond Journal: J Am Coll Cardiol Date: 2011-04-19 Impact factor: 24.094
Authors: Donald M Lloyd-Jones; Yuling Hong; Darwin Labarthe; Dariush Mozaffarian; Lawrence J Appel; Linda Van Horn; Kurt Greenlund; Stephen Daniels; Graham Nichol; Gordon F Tomaselli; Donna K Arnett; Gregg C Fonarow; P Michael Ho; Michael S Lauer; Frederick A Masoudi; Rose Marie Robertson; Véronique Roger; Lee H Schwamm; Paul Sorlie; Clyde W Yancy; Wayne D Rosamond Journal: Circulation Date: 2010-01-20 Impact factor: 29.690
Authors: Janne Boone-Heinonen; Ana V Diez Roux; Catarina I Kiefe; Cora E Lewis; David K Guilkey; Penny Gordon-Larsen Journal: Soc Sci Med Date: 2011-01-25 Impact factor: 4.634
Authors: Mahasin S Mujahid; Ana V Diez Roux; Richard C Cooper; Steven Shea; David R Williams Journal: Am J Hypertens Date: 2010-09-16 Impact factor: 2.689
Authors: Claudia Bambs; Kevin E Kip; Andrea Dinga; Suresh R Mulukutla; Aryan N Aiyer; Steven E Reis Journal: Circulation Date: 2011-02-14 Impact factor: 29.690
Authors: Christina M Shay; Hongyan Ning; Norrina B Allen; Mercedes R Carnethon; Stephanie E Chiuve; Kurt J Greenlund; Martha L Daviglus; Donald M Lloyd-Jones Journal: Circulation Date: 2011-11-17 Impact factor: 29.690
Authors: Heather M Johnson; Lisa Sullivan-Vedder; KyungMann Kim; Patrick E McBride; Maureen A Smith; Jamie N LaMantia; Jennifer T Fink; Megan R Knutson Sinaise; Laura M Zeller; Diane R Lauver Journal: Contemp Clin Trials Date: 2019-01-21 Impact factor: 2.226
Authors: Sabriya L Linton; Hannah L F Cooper; Mary E Kelley; Conny C Karnes; Zev Ross; Mary E Wolfe; Don Des Jarlais; Salaam Semaan; Barbara Tempalski; Elizabeth DiNenno; Teresa Finlayson; Catlainn Sionean; Cyprian Wejnert; Gabriela Paz-Bailey Journal: Am J Public Health Date: 2015-10-15 Impact factor: 9.308
Authors: Seth A Berkowitz; Andrew J Karter; Giselle Corbie-Smith; Hilary K Seligman; Sarah A Ackroyd; Lily S Barnard; Steven J Atlas; Deborah J Wexler Journal: Diabetes Care Date: 2018-03-19 Impact factor: 19.112
Authors: Mohammad Hashim Jilani; Zulqarnain Javed; Tamer Yahya; Javier Valero-Elizondo; Safi U Khan; Bita Kash; Ron Blankstein; Salim S Virani; Michael J Blaha; Prachi Dubey; Adnan A Hyder; Farhaan S Vahidy; Miguel Cainzos-Achirica; Khurram Nasir Journal: Curr Atheroscler Rep Date: 2021-07-26 Impact factor: 5.113