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Identifying neighbourhood and individual resilience profiles for cardiovascular health: a cross-sectional study of blacks living in the Atlanta metropolitan area

OBJECTIVE: To simultaneously examine multiple individual-level neighbourhood perceptions and psychosocial characteristics and their relationships with cardiovascular health (CVH) among blacks. DESIGN: Cross-sectional study. SETTING: Subjects were recruited between 2016 and 2018 via convenience sampl...

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Autores principales: Ko, Yi-An, Shen, Jenny, Kim, Jeong Hwan, Topel, Matthew, Mujahid, Mahasin, Taylor, Herman, Quyyumi, Arshed, Sims, Mario, Vaccarino, Viola, Baltrus, Peter, Lewis, Tene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327812/
https://www.ncbi.nlm.nih.gov/pubmed/34330849
http://dx.doi.org/10.1136/bmjopen-2020-041435
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author Ko, Yi-An
Shen, Jenny
Kim, Jeong Hwan
Topel, Matthew
Mujahid, Mahasin
Taylor, Herman
Quyyumi, Arshed
Sims, Mario
Vaccarino, Viola
Baltrus, Peter
Lewis, Tene
author_facet Ko, Yi-An
Shen, Jenny
Kim, Jeong Hwan
Topel, Matthew
Mujahid, Mahasin
Taylor, Herman
Quyyumi, Arshed
Sims, Mario
Vaccarino, Viola
Baltrus, Peter
Lewis, Tene
author_sort Ko, Yi-An
collection PubMed
description OBJECTIVE: To simultaneously examine multiple individual-level neighbourhood perceptions and psychosocial characteristics and their relationships with cardiovascular health (CVH) among blacks. DESIGN: Cross-sectional study. SETTING: Subjects were recruited between 2016 and 2018 via convenience sampling. PARTICIPANTS: 385 Black men and women, age 30–70 living in the Atlanta metropolitan area (Georgia, USA). PRIMARY OUTCOME MEASURE: Individual’s CVH was summarised as a composite score using American Heart Association’s Life’s Simple 7 (LS7) metrics. METHODS: We implemented unsupervised learning (k-means) and supervised learning (Bayesian Dirichlet process clustering) to identify clusters based on 11 self-reported neighbourhood perception and psychosocial characteristics. We also performed principal component analysis to summarise neighbourhood perceptions and psychosocial variables and assess their associations with LS7 scores. RESULTS: K-means and Bayesian clustering resulted in 4 and 5 clusters, respectively. Based on the posterior distributions, higher LS7 scores were associated with better neighbourhood perceptions and psychosocial characteristics, including neighbourhood safety, social cohesion, activities with neighbours, environmental mastery, purpose in life, resilient coping and no depression. Taken together, the first principal components of neighbourhood perceptions and psychosocial characteristics were associated with an increase of 0.07 (95% CI −0.17 to 0.31) and 0.31 (95% CI 0.06 to 0.55) in LS7 score, respectively, after accounting for age, sex, household income and education level. CONCLUSION: Both neighbourhood perception and psychosocial domains were related to CVH, but individual psychosocial characteristics appeared to contribute to CVH most. Approaches that acknowledge the importance of factors in both domains may prove most beneficial for enhancing resilience and promoting CVH among black communities.
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spelling pubmed-83278122021-08-19 Identifying neighbourhood and individual resilience profiles for cardiovascular health: a cross-sectional study of blacks living in the Atlanta metropolitan area Ko, Yi-An Shen, Jenny Kim, Jeong Hwan Topel, Matthew Mujahid, Mahasin Taylor, Herman Quyyumi, Arshed Sims, Mario Vaccarino, Viola Baltrus, Peter Lewis, Tene BMJ Open Epidemiology OBJECTIVE: To simultaneously examine multiple individual-level neighbourhood perceptions and psychosocial characteristics and their relationships with cardiovascular health (CVH) among blacks. DESIGN: Cross-sectional study. SETTING: Subjects were recruited between 2016 and 2018 via convenience sampling. PARTICIPANTS: 385 Black men and women, age 30–70 living in the Atlanta metropolitan area (Georgia, USA). PRIMARY OUTCOME MEASURE: Individual’s CVH was summarised as a composite score using American Heart Association’s Life’s Simple 7 (LS7) metrics. METHODS: We implemented unsupervised learning (k-means) and supervised learning (Bayesian Dirichlet process clustering) to identify clusters based on 11 self-reported neighbourhood perception and psychosocial characteristics. We also performed principal component analysis to summarise neighbourhood perceptions and psychosocial variables and assess their associations with LS7 scores. RESULTS: K-means and Bayesian clustering resulted in 4 and 5 clusters, respectively. Based on the posterior distributions, higher LS7 scores were associated with better neighbourhood perceptions and psychosocial characteristics, including neighbourhood safety, social cohesion, activities with neighbours, environmental mastery, purpose in life, resilient coping and no depression. Taken together, the first principal components of neighbourhood perceptions and psychosocial characteristics were associated with an increase of 0.07 (95% CI −0.17 to 0.31) and 0.31 (95% CI 0.06 to 0.55) in LS7 score, respectively, after accounting for age, sex, household income and education level. CONCLUSION: Both neighbourhood perception and psychosocial domains were related to CVH, but individual psychosocial characteristics appeared to contribute to CVH most. Approaches that acknowledge the importance of factors in both domains may prove most beneficial for enhancing resilience and promoting CVH among black communities. BMJ Publishing Group 2021-07-30 /pmc/articles/PMC8327812/ /pubmed/34330849 http://dx.doi.org/10.1136/bmjopen-2020-041435 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology
Ko, Yi-An
Shen, Jenny
Kim, Jeong Hwan
Topel, Matthew
Mujahid, Mahasin
Taylor, Herman
Quyyumi, Arshed
Sims, Mario
Vaccarino, Viola
Baltrus, Peter
Lewis, Tene
Identifying neighbourhood and individual resilience profiles for cardiovascular health: a cross-sectional study of blacks living in the Atlanta metropolitan area
title Identifying neighbourhood and individual resilience profiles for cardiovascular health: a cross-sectional study of blacks living in the Atlanta metropolitan area
title_full Identifying neighbourhood and individual resilience profiles for cardiovascular health: a cross-sectional study of blacks living in the Atlanta metropolitan area
title_fullStr Identifying neighbourhood and individual resilience profiles for cardiovascular health: a cross-sectional study of blacks living in the Atlanta metropolitan area
title_full_unstemmed Identifying neighbourhood and individual resilience profiles for cardiovascular health: a cross-sectional study of blacks living in the Atlanta metropolitan area
title_short Identifying neighbourhood and individual resilience profiles for cardiovascular health: a cross-sectional study of blacks living in the Atlanta metropolitan area
title_sort identifying neighbourhood and individual resilience profiles for cardiovascular health: a cross-sectional study of blacks living in the atlanta metropolitan area
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327812/
https://www.ncbi.nlm.nih.gov/pubmed/34330849
http://dx.doi.org/10.1136/bmjopen-2020-041435
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