Kim Eun Mi, Kim Sung Hi, Lee Geon Ho, Kim Yun-A
Department of Family Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea.
Korean J Fam Med. 2019 Jul;40(4):227-234. doi: 10.4082/kjfm.18.0137. Epub 2019 Jul 20.
We evaluated the effects of socioeconomic factors and psychosocial factors, both individually and combined, on all-cause mortality risk (mortality risk).
We conducted an 8-year (2006-2014) longitudinal analysis of 10,247 individuals who took part in the Korean Longitudinal Study of Aging, a nationwide survey of people aged 45-79 years. Socioeconomic vulnerability (SEV) was assessed with factors such as education, household income, commercial health insurance, and residential area. Mental health (MH) was assessed with factors such as depression, social engagement, and life satisfaction. The covariates were age, gender, marital status, cohabiting, number of chronic diseases, and health behaviors such as regular exercise, smoking, and alcohol intake. We used a Cox proportional hazard analysis to investigate the effects of SEV and MH on mortality risk and also to analyze the superimposed effects of SEV-MH on mortality risk.
After the controlling for the covariates, high SEV and negative MH were found to be strong predictors of all-cause mortality. The highest quartile of SEV (vs. lowest) had a 1.70 times greater mortality risk (hazard ratio [HR], 1.70; 95% confidence interval [CI], 1.24-2.33) and the highest quartile of MH (vs. lowest) had a 2.13 times greater mortality risk (HR, 2.13; 95% CI, 1.72-2.64). Being in the highest quartile for both SEV and MH (vs. lowest) increased mortality risk more than 3 times (HR, 3.11; 95% CI, 2.20-4.40).
High SEV and negative MH were independently associated with increased mortality risk, and their superimposed effects were associated with an increased risk of mortality.
我们分别评估了社会经济因素和心理社会因素以及二者共同作用对全因死亡风险(死亡风险)的影响。
我们对参加韩国老年纵向研究的10247名个体进行了为期8年(2006 - 2014年)的纵向分析,该研究是一项针对45 - 79岁人群的全国性调查。社会经济脆弱性(SEV)通过教育程度、家庭收入、商业健康保险和居住地区等因素进行评估。心理健康(MH)通过抑郁、社会参与和生活满意度等因素进行评估。协变量包括年龄、性别、婚姻状况、同居情况、慢性病数量以及规律运动、吸烟和饮酒等健康行为。我们使用Cox比例风险分析来研究SEV和MH对死亡风险的影响,并分析SEV - MH对死亡风险的叠加效应。
在控制协变量后,高SEV和不良MH被发现是全因死亡的有力预测因素。SEV最高四分位数组(与最低四分位数组相比)的死亡风险高1.70倍(风险比[HR],1.70;95%置信区间[CI],1.24 - 2.33),MH最高四分位数组(与最低四分位数组相比)的死亡风险高2.13倍(HR,2.13;95% CI,1.72 - 2.64)。SEV和MH均处于最高四分位数组(与最低四分位数组相比)使死亡风险增加超过3倍(HR,3.11;95% CI,2.20 - 4.40)。
高SEV和不良MH与死亡风险增加独立相关,且它们的叠加效应与死亡风险增加相关。