Kreibig Sylvia D, Whooley Mary A, Gross James J
From the Department of Psychology (S.D.K., J.J.G.), Stanford University, Stanford, California; VA Medical Center (M.A.W.), San Francisco, California; and Department of Medicine (M.A.W.), University of California, San Francisco, California.
Psychosom Med. 2014 Oct;76(8):659-68. doi: 10.1097/PSY.0000000000000100.
To determine why lower social integration predicts higher mortality in patients with coronary heart disease (CHD).
The association between social integration and mortality was examined prospectively in 1019 outpatients with stable CHD from the Heart and Soul Study. Baseline social integration was assessed with the Berkman Social Network Index. Cox proportional hazards models were used to determine the extent to which demographic and disease-relevant confounders and potential biological, behavioral, and psychological mediators explained the association between social integration and mortality.
During a mean (standard deviation) follow-up period of 6.7 (2.3) years, the age-adjusted annual rate of mortality was 6.3% among socially isolated patients and 4.1% among nonisolated patients (age-adjusted hazard ratio [HR] = 1.61, 95% confidence interval [CI] = 1.26-2.05, p < .001). After adjustment for demographic and disease-relevant confounders, socially isolated patients had a 50% greater risk of death than did nonisolated patients (HR = 1.50, 95% CI = 1.07-2.10). Separate adjustment for potential biological (HR = 1.53, CI = 1.05-2.25) and psychological mediators (HR = 1.52, CI = 1.08-2.14) did not significantly attenuate this association, whereas adjustment for potential behavioral mediators did (HR = 1.30, CI = 0.91-1.86). C-reactive protein and hemoglobin A1c were identified as important biological and omega-3 fatty acids, smoking, and medication adherence as important behavioral potential mediators, with smoking making the largest contribution.
In this sample of outpatients with baseline stable CHD, the association between social integration and mortality was largely explained by health-related behavioral pathways, particularly smoking.
确定社会融合程度较低为何预示着冠心病(CHD)患者的死亡率较高。
在“心灵研究”中,对1019例稳定型冠心病门诊患者进行前瞻性研究,以检验社会融合与死亡率之间的关联。采用伯克曼社会网络指数评估基线社会融合程度。使用Cox比例风险模型来确定人口统计学和疾病相关混杂因素以及潜在的生物学、行为学和心理学中介因素在多大程度上解释了社会融合与死亡率之间的关联。
在平均(标准差)6.7(2.3)年的随访期内,社会孤立患者的年龄调整后年死亡率为6.3%,非孤立患者为4.1%(年龄调整风险比[HR]=1.61,95%置信区间[CI]=1.26 - 2.05,p<0.001)。在调整了人口统计学和疾病相关混杂因素后,社会孤立患者的死亡风险比非孤立患者高50%(HR = 1.50,95% CI = 1.07 - 2.10)。分别对潜在生物学中介因素(HR = 1.53,CI = 1.05 - 2.25)和心理学中介因素(HR = 1.52,CI = 1.08 - 2.14)进行调整并没有显著减弱这种关联,而对潜在行为学中介因素进行调整则有显著减弱(HR = 1.30,CI = 0.91 - 1.86)。C反应蛋白和糖化血红蛋白被确定为重要的生物学潜在中介因素,ω-3脂肪酸、吸烟和药物依从性被确定为重要的行为学潜在中介因素,其中吸烟的影响最大。
在这个基线稳定型冠心病门诊患者样本中,社会融合与死亡率之间的关联很大程度上可由与健康相关的行为途径来解释,尤其是吸烟。