Comparative impact of social isolation on mortality in adults aged 40 years and above with versus without metabolic syndrome: evidence from two large cohorts in the U.S. and U.K.

IF 2.5 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Siying Liu, Cihang Lu, Bingxin You, Qiqiang Guo, Tingting Liu, Yongze Li
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引用次数: 0

Abstract

Introduction: Social isolation is increasingly recognized as a significant public health concern associated with mortality risk. However, whether the impact of social isolation on mortality differs between individuals with and without metabolic syndrome (MetS) remains unclear. This study aimed to investigate the associations of social isolation with all-cause mortality, cardiovascular mortality (CVDM), cancer mortality (CAM), other cause mortality (OTM), and premature mortality in MetS and non-MetS populations using data from large cohorts in the UK and the US.

Methods: This study analyzed data from 75,190 participants with metabolic syndrome (MetS) and 229,388 participants without MetS in the UK Biobank, as well as 5758 MetS participants and 7448 non-MetS participants from the U.S. National Health and Nutrition Examination Survey (NHANES). All participants included in the study were aged 40 years or above. The identification of MetS was based on a comprehensive assessment of multiple biochemical indicators, including waist circumference, blood glucose, blood pressure, and blood lipid levels. Social isolation was evaluated using information on marital status, household size, frequency of contact with family and friends, and engagement in social activities. The primary outcomes included all-cause mortality, cardiovascular mortality, cancer mortality, other-cause mortality, and premature mortality, defined as death before the age of 70. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between social isolation and various mortality outcomes. In addition, interaction and subgroup analyses were conducted to explore the potential modifying effects of MetS status, as well as lifestyle and other risk factors, on the relationship between social isolation and mortality.

Results: In the UK Biobank, the rates of all-cause mortality, CVDM, CAM, OTM, and premature mortality among participants with MetS were 9.07%, 1.48%, 4.22%, 3.36%, and 1.98%, respectively; the corresponding rates among participants without MetS were 4.81%, 0.51%, 2.61%, 1.68%, and 2.47%. In NHANES, the respective mortality rates among individuals with MetS were 26.20%, 9.24%, 6.15%, 10.85%, and 13.90%, and among those without MetS were 25.80%, 8.13%, 6.31%, 11.30%, and 14.10%. Cox regression analyses showed that, in the fully adjusted models, social isolation was significantly associated with increased risks of all-cause mortality, CVDM, CAM, OTM, and premature mortality in both individuals with and without MetS. In the UK Biobank, the HRs for participants with MetS were 1.30, 1.21, 1.12, 1.38, and 1.39, respectively; for those without MetS, the HRs were 1.51, 1.75, 1.30, 1.76, and 1.54, respectively. In the U.S. NHANES, the HRs for the MetS group were 1.14, 1.54, 1.48, 1.71, and 1.09, respectively; while for the non-MetS group, the HRs were 1.60, 1.75, 1.47, 1.56, and 1.39, respectively. The results of the interaction and sensitivity analyses were consistent.

Conclusions: Compared to individuals without MetS, those with MetS have higher mortality rates. Moreover, social isolation is associated with increased mortality regardless of MetS status. It is a risk factor for all-cause mortality, CVDM, CAM, OTM, and premature mortality in both MetS and non-MetS populations. Notably, the impact of social isolation on all-cause, cardiovascular, and premature mortality is more pronounced in individuals without MetS. Public health strategies should focus on population-wide interventions to reduce social isolation, enhance social engagement, and improve overall health and longevity, rather than targeting only high-risk groups.

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社会隔离对40岁及以上有与无代谢综合征的成年人死亡率的比较影响:来自美国和英国两个大型队列的证据
导言:社会孤立日益被认为是与死亡风险相关的一个重大公共卫生问题。然而,社会隔离对死亡率的影响在有代谢综合征(MetS)和没有代谢综合征(MetS)的个体之间是否存在差异尚不清楚。本研究旨在调查社会隔离与全因死亡率、心血管死亡率(CVDM)、癌症死亡率(CAM)、其他原因死亡率(OTM)以及MetS和非MetS人群过早死亡率之间的关系,研究数据来自英国和美国的大型队列。方法:本研究分析了来自英国生物银行的75,190名代谢综合征(MetS)参与者和229,388名非MetS参与者的数据,以及来自美国国家健康与营养检查调查(NHANES)的5758名MetS参与者和7448名非MetS参与者的数据。该研究的所有参与者年龄均在40岁或以上。MetS的鉴定是基于多种生化指标的综合评估,包括腰围、血糖、血压和血脂水平。利用婚姻状况、家庭规模、与家人和朋友接触的频率以及参与社会活动等信息来评估社会孤立。主要结局包括全因死亡率、心血管死亡率、癌症死亡率、其他原因死亡率和过早死亡率(定义为70岁前死亡)。使用Cox比例风险模型来估计社会隔离与各种死亡结果之间的关联的风险比(hr)和95%置信区间(CIs)。此外,还进行了相互作用和亚组分析,以探讨MetS状态以及生活方式和其他危险因素对社会孤立与死亡率之间关系的潜在调节作用。结果:在UK Biobank中,met参与者的全因死亡率、CVDM、CAM、OTM和过早死亡率分别为9.07%、1.48%、4.22%、3.36%和1.98%;无MetS受试者的相应率分别为4.81%、0.51%、2.61%、1.68%和2.47%。在NHANES中,有MetS个体的死亡率分别为26.20%、9.24%、6.15%、10.85%和13.90%,无MetS个体的死亡率分别为25.80%、8.13%、6.31%、11.30%和14.10%。Cox回归分析显示,在完全调整的模型中,社会隔离与有和没有MetS的个体的全因死亡率、CVDM、CAM、OTM和过早死亡率的风险增加显著相关。在UK Biobank中,met参与者的hr分别为1.30、1.21、1.12、1.38和1.39;无met组的hr分别为1.51、1.75、1.30、1.76和1.54。在美国NHANES中,met组的hr分别为1.14、1.54、1.48、1.71和1.09;而对于非mets组,hr分别为1.60,1.75,1.47,1.56和1.39。相互作用和敏感性分析结果一致。结论:与没有MetS的个体相比,MetS患者的死亡率更高。此外,社会孤立与死亡率的增加有关,无论是否处于MetS状态。在MetS和非MetS人群中,它是全因死亡率、CVDM、CAM、OTM和过早死亡的危险因素。值得注意的是,社会隔离对全因死亡率、心血管死亡率和过早死亡率的影响在没有MetS的个体中更为明显。公共卫生战略应侧重于全民干预措施,以减少社会孤立,加强社会参与,改善整体健康和寿命,而不是只针对高危群体。
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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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