Mortality and risk of cardiovascular diseases by age at retirement in three Italian cohorts

IF 3.5 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Big Data Research Pub Date : 2025-05-23 DOI:10.1016/j.bdr.2025.100543

Chiara Ardito , Roberto Leombruni , Giuseppe Costa , Angelo d’Errico

{"title":"Mortality and risk of cardiovascular diseases by age at retirement in three Italian cohorts","authors":"Chiara Ardito , Roberto Leombruni , Giuseppe Costa , Angelo d’Errico","doi":"10.1016/j.bdr.2025.100543","DOIUrl":null,"url":null,"abstract":"<div><div>The relationship between age at retirement and subsequent physical health appears still contradictory in the literature, with more recent studies suggesting possible adverse health effects linked to employment at later ages. Aim of this study was to assess the long-term risk of overall mortality and incidence of cardiovascular diseases (CVDs) associated with age at retirement in three large Italian cohorts using both survey and administrative data.</div><div>The risk of mortality and CVDs associated with age at retirement, kept continuous, was assessed separately for gender using age-adjusted Cox models, further controlled for chronic morbidity, education, socioeconomic and previous working characteristics. In another analysis, age at retirement was examined treating it as a dichotomous variable, comparing, in a set of analyses with age at retirement from 52 to 65 years, the incidence of the health outcomes among subjects who retired after a certain age, compared to those who retired up to that age.</div><div>Higher age at retirement was associated with significantly higher mortality among men in the three cohorts, while among women the association was not significant, although in the same direction as for men. The risk of CVDs was also significantly associated with higher age at retirement in all the datasets among men, and in two of them among women. The set of the analyses on age at retirement dichotomized confirmed the results based on continuous age at retirement for both genders. Several robustness analyses, including IV Poisson instrumental variable, confirm the validity of results for men, whereas female results were less stable and robust.</div><div>Policy makers should be aware of the risk for public heath of policies that increase retirement age.</div></div>","PeriodicalId":56017,"journal":{"name":"Big Data Research","volume":"41 ","pages":"Article 100543"},"PeriodicalIF":3.5000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Data Research","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214579625000383","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}

引用次数: 0

Abstract

The relationship between age at retirement and subsequent physical health appears still contradictory in the literature, with more recent studies suggesting possible adverse health effects linked to employment at later ages. Aim of this study was to assess the long-term risk of overall mortality and incidence of cardiovascular diseases (CVDs) associated with age at retirement in three large Italian cohorts using both survey and administrative data.

The risk of mortality and CVDs associated with age at retirement, kept continuous, was assessed separately for gender using age-adjusted Cox models, further controlled for chronic morbidity, education, socioeconomic and previous working characteristics. In another analysis, age at retirement was examined treating it as a dichotomous variable, comparing, in a set of analyses with age at retirement from 52 to 65 years, the incidence of the health outcomes among subjects who retired after a certain age, compared to those who retired up to that age.

Higher age at retirement was associated with significantly higher mortality among men in the three cohorts, while among women the association was not significant, although in the same direction as for men. The risk of CVDs was also significantly associated with higher age at retirement in all the datasets among men, and in two of them among women. The set of the analyses on age at retirement dichotomized confirmed the results based on continuous age at retirement for both genders. Several robustness analyses, including IV Poisson instrumental variable, confirm the validity of results for men, whereas female results were less stable and robust.

Policy makers should be aware of the risk for public heath of policies that increase retirement age.

查看原文本刊更多论文

意大利三个队列按退休年龄划分的心血管疾病死亡率和风险

在文献中，退休年龄与随后的身体健康之间的关系似乎仍然是矛盾的，最近的研究表明，年龄较晚的就业可能对健康产生不利影响。本研究的目的是利用调查和管理数据评估意大利三个大型队列中与退休年龄相关的总死亡率和心血管疾病（cvd）发病率的长期风险。死亡率和心血管疾病风险与退休年龄相关，保持连续性，使用年龄调整的Cox模型分别评估性别，进一步控制慢性发病率、教育、社会经济和以前的工作特征。在另一项分析中，对退休年龄进行了检查，将其作为一个二分变量，在一组与退休年龄从52岁到65岁的分析中，比较了在某一年龄之后退休的受试者与在该年龄之前退休的受试者的健康结果发生率。在这三个队列中，退休年龄越高的男性死亡率越高，而在女性中，尽管与男性的方向相同，但这种关联并不显著。在所有的男性数据集中，心血管疾病的风险也与较高的退休年龄显著相关，其中两个是女性数据集。在连续退休年龄的基础上，对两种性别的退休年龄进行了二分类分析，证实了这一结果。包括泊松工具变量在内的几个稳健性分析证实了男性结果的有效性，而女性结果则不那么稳定和稳健。决策者应该意识到提高退休年龄的政策对公共健康的风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Big Data Research Computer Science-Computer Science Applications

CiteScore

8.40

自引率

3.00%

发文量

期刊介绍： The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.