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中年成年人的生活方式轨迹及其与健康指标的关系。

Lifestyle trajectories in middle-aged adults and their relationship with health indicators.

机构信息

Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la UAB, Badalona, Spain.

Departament de Medicina, Facultat de Medicina i Ciències de la Salut i Institut de Neurociències, Universitat de Barcelona, Barcelona, Spain.

出版信息

Front Public Health. 2024 Jun 5;12:1412547. doi: 10.3389/fpubh.2024.1412547. eCollection 2024.

Abstract

INTRODUCTION

Understanding the impact of different lifestyle trajectories on health preservation and disease risk is crucial for effective interventions.

METHODS

This study analyzed lifestyle engagement over five years in 3,013 healthy adults aged 40-70 from the Barcelona Brain Health Initiative using K-means clustering. Nine modifiable risk factors were considered, including cognitive, physical, and social activity, vital plan, diet, obesity, smoking, alcohol consumption, and sleep. Self-reported diagnoses of new diseases at different time-points after baseline allowed to explore the association between these five profiles and health outcomes.

RESULTS

The data-driven analysis classified subjects into five lifestyle profiles, revealing associations with health behaviors and risk factors. Those exhibiting high scores in health-promoting behaviors and low-risk behaviors, demonstrate a reduced likelihood of developing diseases ( < 0.001). In contrast, profiles with risky habits showed distinct risks for psychiatric, neurological, and cardiovascular diseases. Participant's lifestyle trajectories remained relatively stable over time.

DISCUSSION

Our findings have identified risk for distinct diseases associated to specific lifestyle patterns. These results could help in the personalization of interventions based on data-driven observation of behavioral patterns and policies that promote a healthy lifestyle and can lead to better health outcomes for people in an aging society.

摘要

简介

了解不同生活方式轨迹对健康保护和疾病风险的影响对于有效的干预至关重要。

方法

本研究使用 K-均值聚类分析了巴塞罗那大脑健康倡议中 3013 名 40-70 岁健康成年人五年的生活方式参与情况。考虑了 9 个可改变的风险因素,包括认知、身体和社会活动、生活计划、饮食、肥胖、吸烟、饮酒和睡眠。自报在基线后不同时间点的新发疾病诊断,以探讨这五种模式与健康结果之间的关系。

结果

数据驱动的分析将受试者分为五种生活方式模式,揭示了与健康行为和风险因素的关联。那些表现出健康促进行为和低风险行为高分的人,疾病发病的可能性降低(<0.001)。相比之下,具有危险习惯的模式显示出明显的精神、神经和心血管疾病风险。参与者的生活方式轨迹随着时间的推移相对稳定。

讨论

我们的研究结果确定了与特定生活方式模式相关的特定疾病风险。这些结果可以帮助根据行为模式的数据分析观察和促进健康生活方式的政策进行个性化干预,从而为老龄化社会中的人们带来更好的健康结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d784/11188459/5be96ad0244c/fpubh-12-1412547-g001.jpg

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