不同早餐习惯人群中体力活动与表型年龄的关系。

Association of Physical Activity with Phenotypic Age among Populations with Different Breakfast Habits.

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Xinmin Street No.1163, Changchun 130021, China.

出版信息

Nutrients. 2024 Feb 20;16(5):575. doi: 10.3390/nu16050575.

Abstract

BACKGROUND

The global aging situation has reached a serious stage, and healthy lifestyles, like regular physical activity and eating breakfast, could slow the process. Phenotypic age (PhenoAge) is regarded as a novel measure of aging. Therefore, our study aimed to quantify the impact of physical activity and eating breakfast on aging via PhenoAge and phenotypic age acceleration (PhenoAgeAccel).

METHODS

A total of 3719 adults who participated in the National Health and Nutrition Examination Survey were involved in this study. Physical activity was divided into an active group and an inactive group. According to the number of reported breakfast recalls, eating breakfast was divided into the no recalls group, one recall group, and both recalls group. Sensitivity analysis was performed by stratified analysis.

RESULTS

Active physical activity was a protective factor for PhenoAge and PhenoAgeAccel. Compared to the inactive group, the β values of the active group were -8.36 (-10.09, -6.62) for PhenoAge and -1.67 (-2.21, -1.14) for PhenoAgeAccel. The stratified analysis results showed that in the groups reporting breakfast in both recalls, one recall, and no recalls, the β values of the active group were -8.84 (-10.70, -6.98), -8.17 (-12.34, -4.00), and -3.46 (-7.74, 0.82), respectively, compared to the inactive group.

CONCLUSIONS

Active physical activity was strongly correlated with lower values of PhenoAge and PhenoAgeAccel, but the association was no longer statistically significant when combined with not regularly eating breakfast.

摘要

背景

全球老龄化形势严峻,健康的生活方式,如定期进行身体活动和吃早餐,可能会减缓这一进程。表型年龄(PhenoAge)被认为是一种新的衰老衡量标准。因此,我们的研究旨在通过 PhenoAge 和表型年龄加速(PhenoAgeAccel)来量化身体活动和吃早餐对衰老的影响。

方法

本研究共纳入 3719 名参加全国健康与营养调查的成年人。身体活动分为活跃组和不活跃组。根据报告的早餐回忆次数,吃早餐分为无回忆组、一次回忆组和两次回忆组。采用分层分析进行敏感性分析。

结果

积极的身体活动是 PhenoAge 和 PhenoAgeAccel 的保护因素。与不活跃组相比,活跃组的 PhenoAge 和 PhenoAgeAccel 的β值分别为-8.36(-10.09,-6.62)和-1.67(-2.21,-1.14)。分层分析结果显示,在两次回忆、一次回忆和无回忆报告早餐的组中,活跃组的β值分别为-8.84(-10.70,-6.98)、-8.17(-12.34,-4.00)和-3.46(-7.74,0.82),与不活跃组相比。

结论

积极的身体活动与较低的 PhenoAge 和 PhenoAgeAccel 值密切相关,但与不规律吃早餐相结合时,这种关联不再具有统计学意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7b4/10934488/01b4edef1a27/nutrients-16-00575-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索