Claire Townsend Ing, Hyeong Jun Ahn, Mapuana C K Antonio, Adrienne Y Dillard, Bridget Puni Kekauoha, Kevin Cassel, Scott Abrigo, Michelle Kauhane, Melody S Halzel, Joseph Keaweʻaimoku Kaholokula
{"title":"夏威夷原住民邻里层面的压力因素与个人层面的心血管疾病风险:一项横断面研究。","authors":"Claire Townsend Ing, Hyeong Jun Ahn, Mapuana C K Antonio, Adrienne Y Dillard, Bridget Puni Kekauoha, Kevin Cassel, Scott Abrigo, Michelle Kauhane, Melody S Halzel, Joseph Keaweʻaimoku Kaholokula","doi":"10.5888/pcd21.220341","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Native Hawaiian people have higher rates of illness and death related to cardiovascular disease (CVD) than non-Hispanic White people. Research in other populations has shown that individual-level CVD risk factors (ie, high-fat diet, physical inactivity, obesity, and tobacco use) are associated with neighborhood characteristics (ie, social cohesion, walkability, availability of healthy food, and safety). This association has yet to be examined among Native Hawaiians.</p><p><strong>Methods: </strong>We conducted a cross-sectional survey of community-dwelling Native Hawaiian people in 2020. Three multiple regression models and 1 logistic regression model were assessed. Each model included individual-level CVD risk factors, age, sex, education, income, and neighborhood characteristics.</p><p><strong>Results: </strong>The regression models for body mass index (BMI) and physical activity showed significant results. The BMI model (R<sup>2</sup> = 0.22, F = 4.81, P < .001) demonstrated that age, sex, education level, physical activity, and percentage of fat in the diet were significantly related to BMI. The availability of healthy foods had a significant, independent relationship with BMI (standardized β = -1.47, SE = 0.53, P = .01). The physical activity model (R<sup>2</sup> = 0.21, F = 4.46, P < .001) demonstrated that age, sex, education, and BMI were significantly related to physical activity. None of the neighborhood characteristics had significant, independent relationships to physical activity.</p><p><strong>Conclusions: </strong>We found that neighborhood-level factors improved the model's ability to explain variance in BMI. Efforts to decrease BMI would benefit from improving the availability of healthy foods in neighborhoods, a finding supported by research in other populations.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10870997/pdf/","citationCount":"0","resultStr":"{\"title\":\"Neighborhood-Level Stressors and Individual-Level Cardiovascular Disease Risk in Native Hawaiians: a Cross-Sectional Study.\",\"authors\":\"Claire Townsend Ing, Hyeong Jun Ahn, Mapuana C K Antonio, Adrienne Y Dillard, Bridget Puni Kekauoha, Kevin Cassel, Scott Abrigo, Michelle Kauhane, Melody S Halzel, Joseph Keaweʻaimoku Kaholokula\",\"doi\":\"10.5888/pcd21.220341\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Native Hawaiian people have higher rates of illness and death related to cardiovascular disease (CVD) than non-Hispanic White people. Research in other populations has shown that individual-level CVD risk factors (ie, high-fat diet, physical inactivity, obesity, and tobacco use) are associated with neighborhood characteristics (ie, social cohesion, walkability, availability of healthy food, and safety). This association has yet to be examined among Native Hawaiians.</p><p><strong>Methods: </strong>We conducted a cross-sectional survey of community-dwelling Native Hawaiian people in 2020. Three multiple regression models and 1 logistic regression model were assessed. Each model included individual-level CVD risk factors, age, sex, education, income, and neighborhood characteristics.</p><p><strong>Results: </strong>The regression models for body mass index (BMI) and physical activity showed significant results. The BMI model (R<sup>2</sup> = 0.22, F = 4.81, P < .001) demonstrated that age, sex, education level, physical activity, and percentage of fat in the diet were significantly related to BMI. The availability of healthy foods had a significant, independent relationship with BMI (standardized β = -1.47, SE = 0.53, P = .01). The physical activity model (R<sup>2</sup> = 0.21, F = 4.46, P < .001) demonstrated that age, sex, education, and BMI were significantly related to physical activity. None of the neighborhood characteristics had significant, independent relationships to physical activity.</p><p><strong>Conclusions: </strong>We found that neighborhood-level factors improved the model's ability to explain variance in BMI. Efforts to decrease BMI would benefit from improving the availability of healthy foods in neighborhoods, a finding supported by research in other populations.</p>\",\"PeriodicalId\":51273,\"journal\":{\"name\":\"Preventing Chronic Disease\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10870997/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Preventing Chronic Disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5888/pcd21.220341\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Preventing Chronic Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5888/pcd21.220341","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Neighborhood-Level Stressors and Individual-Level Cardiovascular Disease Risk in Native Hawaiians: a Cross-Sectional Study.
Introduction: Native Hawaiian people have higher rates of illness and death related to cardiovascular disease (CVD) than non-Hispanic White people. Research in other populations has shown that individual-level CVD risk factors (ie, high-fat diet, physical inactivity, obesity, and tobacco use) are associated with neighborhood characteristics (ie, social cohesion, walkability, availability of healthy food, and safety). This association has yet to be examined among Native Hawaiians.
Methods: We conducted a cross-sectional survey of community-dwelling Native Hawaiian people in 2020. Three multiple regression models and 1 logistic regression model were assessed. Each model included individual-level CVD risk factors, age, sex, education, income, and neighborhood characteristics.
Results: The regression models for body mass index (BMI) and physical activity showed significant results. The BMI model (R2 = 0.22, F = 4.81, P < .001) demonstrated that age, sex, education level, physical activity, and percentage of fat in the diet were significantly related to BMI. The availability of healthy foods had a significant, independent relationship with BMI (standardized β = -1.47, SE = 0.53, P = .01). The physical activity model (R2 = 0.21, F = 4.46, P < .001) demonstrated that age, sex, education, and BMI were significantly related to physical activity. None of the neighborhood characteristics had significant, independent relationships to physical activity.
Conclusions: We found that neighborhood-level factors improved the model's ability to explain variance in BMI. Efforts to decrease BMI would benefit from improving the availability of healthy foods in neighborhoods, a finding supported by research in other populations.
期刊介绍:
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. The mission of PCD is to promote the open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. The vision of PCD is to be the premier forum where practitioners and policy makers inform research and researchers help practitioners and policy makers more effectively improve the health of the population. Articles focus on preventing and controlling chronic diseases and conditions, promoting health, and examining the biological, behavioral, physical, and social determinants of health and their impact on quality of life, morbidity, and mortality across the life span.