County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado.
County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado.
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DOI：
10.3390/ijerph19042202
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发表时间：
2022-02-15
影响因子：
--
通讯作者：
Alderete TL
中科院分区：
文献类型：
--
作者：
Wild LE;Walters M;Powell A;James KA;Corlin L;Alderete TL
心脏代谢疾病是一组相互关联的疾病，给社会弱势群体带来更大的负担。社会脆弱性指数 (SVI) 可以识别易受紧急情况影响的社区，还可以帮助确定面临不良慢性健康后果风险的社区。然而，没有研究考察科罗拉多州 SVI 与心脏代谢健康结果之间的关系，也没有关注农村地区的研究。这项生态研究的目的是确定县级 SVI 是否与县级心脏代谢健康指标相关，特别关注农村和种族/民族多样性。我们从疾病控制与预防中心获得了 2014 年 SVI 评分（得分为 0-1；越高 = 越脆弱），并从科罗拉多州公共卫生和环境部获得了 2013-2015 年心脏代谢健康评估。对健康问题社会决定因素的分布进行了空间评估。使用简单线性回归模型估计 SVI 和心脏代谢指标之间的双变量关系。 SVI 得分最高的是农村地区，包括圣路易斯谷（平均值：0.78，中位数：0.91）、东南部（平均值：0.72，中位数：0.73）和东北部地区（平均值：0.66，中位数：0.76）。在整个科罗拉多州，SVI 占超重和肥胖患病率变异的 41%（p < 0.001）、糖尿病患病率变异的 17%（p = 0.001）以及年龄调整的心肌梗死住院率的 58%（p < 0.001）。 SVI 值可能有助于确定社区的心脏代谢疾病负担。
Cardiometabolic diseases are a group of interrelated diseases that pose greater burden among socially vulnerable communities. The social vulnerability index (SVI) identifies communities vulnerable to emergencies and may also help determine communities at risk of adverse chronic health outcomes. However, no studies have examined the relationship between the SVI and cardiometabolic health outcomes in Colorado or focused on rural settings. The aim of this ecological study was to determine whether the county-level SVI is associated with county-level cardiometabolic health indicators with a particular focus on rurality and racial/ethnic diversity. We obtained 2014 SVI scores from the Centers for Disease Control and Prevention (scored 0–1; higher = more vulnerable) and 2013–2015 cardiometabolic health estimates from the Colorado Department of Public Health and Environment. The distribution of social determinants of health was spatially evaluated. Bivariate relationships between the SVI and cardiometabolic indicators were estimated using simple linear regression models. The highest SVI scores were observed in rural areas, including the San Luis Valley (mean: 0.78, median: 0.91), Southeast (mean: 0.72, median: 0.73), and Northeast (mean: 0.66, median: 0.76) regions. Across Colorado, the SVI accounted for 41% of the variability in overweight and obesity prevalence (p < 0.001), 17% of the variability in diabetes prevalence (p = 0.001), and 58% of the age-adjusted myocardial infarction hospitalization rate (p < 0.001). SVI values may be useful in determining a community’s burden of cardiometabolic diseases.
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影响因子：
39
作者：
Kubota, Yasuhiko;Heiss, Gerardo;Folsom, Aaron R.
通讯作者：
Folsom, Aaron R.
影响因子：
5
作者：
HAMMAN, RF;MARSHALL, JA;LEZOTTE, DC
通讯作者：
LEZOTTE, DC
影响因子：
12.7
作者：
Gaskin DJ;Thorpe RJ Jr;McGinty EE;Bower K;Rohde C;Young JH;LaVeist TA;Dubay L
通讯作者：
Dubay L
DOI：
10.1186/s12940-017-0344-z
发表时间：
2017-12-13
期刊：
Environmental health : a global access science source
影响因子：
--
作者：
Greenfield BK;Rajan J;McKone TE
通讯作者：
McKone TE
影响因子：
3.3
作者：
Maizlish, Neil;Delaney, Tracy;Snellings, Lauren
通讯作者：
Snellings, Lauren