Erratum to: Neighborhood matters: the impact of Hispanic ethnic density on future depressive symptoms 1-year following an ACS event among Hispanic patients.
Erratum to: Neighborhood matters: the impact of Hispanic ethnic density on future depressive symptoms 1-year following an ACS event among Hispanic patients.
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勘误表：社区问题：西班牙裔患者发生 ACS 事件后 1 年后，西班牙裔种族密度对未来抑郁症状的影响。
DOI：
10.1007/s10865-015-9690-x
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发表时间：
2016
影响因子：
3.1
通讯作者：
Cadermil,Esteban
中科院分区：
文献类型：
--
作者：
Denton,Ellen-GeD;Shaffer,JonathanA;Alcantara,Carmela;Cadermil,Esteban
种族密度假说认为，生活在具有相似种族背景的其他人周围可以降低抑郁等不良心理健康结果的风险。与这一假设相反，之前的研究表明，西班牙裔种族密度与因急性冠状动脉综合征（ACS；心肌梗死或不稳定心绞痛）住院患者抑郁症状严重程度的增加存在横断面相关。迄今为止，还没有研究检验西班牙裔种族密度与急性医疗事件后长期抑郁症状严重程度之间的前瞻性关联。我们前瞻性评估了 ACS 事件一年后西班牙裔成人患者中西班牙裔种族密度对抑郁症状的影响。我们测试了种族密度和抑郁症状之间的非线性关联，以解释种族密度假设的不一致结果。在索引 ACS 事件发生时（即基线，N = 326）和一年后（N = 252），来自处方使用、生活方式和压力评估前瞻性队列研究的西班牙裔患者完成了贝克抑郁量表，作为抑郁症状严重程度的衡量标准。西班牙裔种族密度是根据美国社区调查人口普查（2010-2013）中提取的数据，根据每个患者人口普查区内西班牙裔居民的百分比来定义的。协变量包括基线人口因素（年龄、性别、英语流利程度、教育程度、出生状况）、心血管因素（查尔森合并症指数、左心室射血分数、全球急性冠脉事件登记6个月预后风险评分）和邻里因素（居住密度、收入和接受公共援助的家庭百分比）。在调整后的多变量线性回归分析中，西班牙裔人口密度与一年时抑郁症状严重程度之间存在显着的曲线关联。随着西班牙裔人口密度从低密度增加到中等密度，抑郁症状有所增加，但在西班牙裔人口密度最高的人口普查区，抑郁症状略有下降。此外，性别显着调节了西班牙裔人口密度和 1 年抑郁症状严重程度之间的关系，因此西班牙裔人口密度与患有 ACS 的女性西班牙裔患者的抑郁症状严重程度增加显着相关，但与西班牙裔男性患者无关。先前的研究表明，种族密度可能有助于西班牙裔聚居地预防抑郁症。然而，我们的研究结果表明，种族密度效应是非线性的，并且种族密度与抑郁症之间存在总体上更复杂的关联。这些数据丰富了越来越多关于社会人口和背景因素对健康影响的文献。
The Ethnic Density hypothesis posits that living around others from similar ethnic backgrounds reduces the risk of adverse mental health outcomes such as depression. Contrary to this hypothesis, previous work has shown that Hispanic ethnic density is cross-sectionally associated withincreaseddepressive symptom severity among patients hospitalized with an acute coronary syndrome (ACS; myocardial infarction or unstable angina pectoris). To date, no study has examined the prospective association of Hispanic ethnic density on long-term depressive symptom severity following an acute medical event. We prospectively assessed the impact of Hispanic ethnic density on depressive symptoms, 1-year following an ACS event, among Hispanic adult patients. We tested the non-linear association between ethnic density and depressive symptoms to account for inconsistent findings on the ethnic density hypothesis. At the time of an index ACS event (i.e., baseline, N = 326) and 1-year later (N = 252), Hispanic patients from the Prescription Usage, Lifestyle, and Stress Evaluation prospective cohort study completed the Beck Depression Inventory as a measure of depressive symptom severity. Hispanic ethnic density was defined by the percentage of Hispanic residents within each patient’s census tract using data extracted from the American Community Survey Census (2010–2013). Covariates included baseline demographic factors (age, gender, English fluency, education, nativity status), cardiovascular factors (Charlson comorbidity index, left ventricular ejection fraction, Global Registry of Acute Coronary Events 6-month prognostic risk score), and neighborhood factors (residential density, income, and percentage of households receiving public assistance). In an adjusted multivariable linear regression analysis there was a significant curvilinear association between Hispanic ethnic density and depressive symptom severity at 1 year. As Hispanic ethnic density increased from low to moderate density, there was an increase in depressive symptoms, but depressive symptoms slightly declined in census tracts with the highest density of Hispanics. Furthermore, gender significantly moderated the relation between Hispanic ethnic density and 1-year depressive symptom severity, such that Hispanic ethnic density was significantly associated with increased depressive symptom severity for female Hispanic patients with ACS, but not for male Hispanic patients. Previous research suggests that ethnic density may be protective against depression in Hispanic enclaves; however, our findings suggest a non-linear ethnic density effect and an overall more complex association between ethnic density and depression. These data add to a growing body of literature on the effects of sociodemographic and contextual factors on health.
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