脑力劳动与生物衰老的关系:内脏脂肪指数的中介作用。

IF 4.3 3区 医学 Q1 GERIATRICS & GERONTOLOGY
Innovation in Aging Pub Date : 2025-07-08 eCollection Date: 2025-08-01 DOI:10.1093/geroni/igaf077
Kangnan Zhang, Rongdi Xu, Yuhe Liu, Wenqian Wu, Yong Zhou
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引用次数: 0

摘要

背景与目的:本研究旨在探讨脑力劳动、工作强度与生物加速衰老之间的关系,重点研究内脏脂肪指数(VAI)的中介作用。研究设计和方法:本横断面研究收集了亚太地区开滦体育锻炼队列的数据。采用表型age和klemera - double年龄加速法(KDMAge)评估生物老化。多变量线性回归模型检验了脑力劳动与生物衰老之间的联系,而中介分析评估了VAI的作用。结果:在3933名参与者中(平均年龄56.4岁,男性55.6%),脑力劳动者表现出更大的生物年龄(BA)加速:kdage加速增加了1.52岁(p为趋势=)。在调整了年龄和性别后,与体力劳动者相比,平均寿命缩短了1.46岁(p < 0.001)。在脑力劳动者中,高劳动强度与更大的BA加速相关:KDMAge β = 0.40, 95% CI [0.10-0.65];表型β = 0.51, 95% CI[0.10-1.38]。在体力劳动者中,高劳动强度也与BA加速增加相关:KDMAge β = 1.53, 95% CI [0.91-2.12];表型β = 1.32, 95% CI[0.37-2.26]。中介分析显示,VAI介导9.8%的心理工作-表型关系和20.9%的KDMAge关系。讨论与启示:脑力劳动与加速生物衰老有关。这些结果强调了针对工作强度和代谢健康的干预措施对于减少与年龄相关的疾病负担的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Association between mental work and biological aging: the mediating role of visceral adiposity index.

Association between mental work and biological aging: the mediating role of visceral adiposity index.

Background and objectives: This study aimed to investigate the relationship between mental work, work intensity, and accelerated biological aging, focusing on the mediating role of the Visceral Adiposity Index (VAI).

Research design and methods: In this cross-sectional study, data were collected from the Kailuan physical activity cohorts in the Asia-Pacific region. Biological aging was assessed using PhenoAge and Klemera-Doubal method age (KDMAge) acceleration. Multivariable linear regression models examined the link between mental work and biological aging, while mediation analysis assessed the role of VAI.

Results: Among 3,933 participants (mean age 56.4 years; 55.6% male), mental workers showed greater biological age (BA) acceleration: KDMAge acceleration increased by 1.52 years (p for trend = .04) and PhenoAge by 1.46 years (p for trend < .001) compared to manual workers, after adjusting for age and sex. In mental workers, high labor intensity was associated with greater BA acceleration: KDMAge β  =  0.40, 95% CI [0.10-0.65]; PhenoAge β  =  0.51, 95% CI [0.10-1.38]. In manual workers, high labor intensity also correlated with increased BA acceleration: KDMAge β  =  1.53, 95% CI [0.91-2.12]; PhenoAge β  =  1.32, 95% CI [0.37-2.26]. Mediation analysis showed that VAI mediated 9.8% of the mental work-PhenoAge relationship and 20.9% of the KDMAge relationship.

Discussion and implications: Mental work is associated with accelerated biological aging. These results highlight the importance of interventions targeting work intensity and metabolic health to reduce age-related disease burdens.

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来源期刊
Innovation in Aging
Innovation in Aging GERIATRICS & GERONTOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
72
审稿时长
15 weeks
期刊介绍: Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.
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