Association between phenotypic age and mortality risk in individuals with obesity: a retrospective cohort study DOI Creative Commons

Yingxuan Huang,

Apei Zhou, Yisen Huang

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 9, 2024

This study investigates the association between phenotypic age acceleration (PAA) and all-cause cause-specific mortality in obese individuals.

Language: Английский

Association between dietary quality and accelerated aging: a cross-sectional study of two cohorts DOI

Yue Chen,

Xin Zheng, Yiming Wang

et al.

Food & Function, Journal Year: 2024, Volume and Issue: 15(15), P. 7837 - 7848

Published: Jan. 1, 2024

Background: Diet quality significantly influences aging processes and age-related health outcomes. This study aims to explore the association between dietary accelerated in two large cohorts. Methods: collected data from Kailuan National Health Nutrition Examination Survey (NHANES) cohorts; participants' was evaluated using American Heart Association (AHA) score Healthy Eating Index-2015 (HEI-2015), respectively. Accelerated participants determined by calculating difference phenotypic age chronological age. Logistic regression models were used scores aging. Additionally, variations this across different subgroups investigated. To minimize influence of excessive aging, individuals aged 75 above excluded sensitivity analyses. Results: In study, we included 33 701 (27.3% female, mean 57.29 ± 11.88) 9285 (50.6% 49.83 17.62) NHANES. cohort, with ranging 3 5 exhibited a 22% lower risk compared those scoring 0 2 (OR = 0.78, 95% CI 0.72-0.85). Similarly, NHANES highest quartile HEI-2015 experienced 34% reduction lowest 0.66, 0.52-0.84). Subgroup analyses underscored more pronounced among males unhealthy lifestyles. Sensitivity confirmed robustness Conclusion: summary, our found significant Better associated reduced particularly males, smokers,

Language: Английский

Citations

7
Construction and validation of a DNN-based biological age and its influencing factors in the China Kadoorie Biobank DOI Creative Commons

Yushu Huang,

Lijuan Da,

Yue Dong

et al.

GeroScience, Journal Year: 2025, Volume and Issue: unknown

Published: March 7, 2025

Biological age is an important measure of aging that reflects individual's physical health and linked to various diseases. Current prediction models are still limited in precision, the risk factors for accelerated remain underexplored. Therefore, we aimed develop a precise biological assess impact socio-demographic behavioral patterns on process.We utilized Deep Neural Networks (DNN) construct from participants with examinations, blood samples, questionnaires data China Kadoorie Biobank (CKB) between June 2004 December 2016. △age, calculated as residuals chronological age, was used investigate associations acceleration Socio-demographics (gender, education attainment, marital status, household income) lifestyle characteristics (body mass index [BMI], smoking, drinking, activity, sleep) were also assessed explore their acceleration. 18,261 aged 57 ± 10 years included this study. The DNN-based model has demonstrated accurate predictive performance, achieving mean absolute error 3.655 years. △age associated increased risks morbidity mortality, highest found circulatory respiratory diseases, hazard ratios 1.033 (95% CI: 1.023, 1.042) 1.078 1.027, 1.130), respectively. Socio-demographics, including being female, lower education, widowed or divorced, low income, along patterns, such underweight, insufficient poor sleep, aging. Our DNN capable constructing using commonly collected data. aging, highlighting addressing modifiable can effectively slow reduce disease risk, providing valuable insights interventions promote healthy

Language: Английский

Citations

0
PhenoAge and PhenoAgeAccel in the context of dyslipidemia: association with stroke and potential as a new predictor in the US general population DOI

Weijie Zhao,

Ziyue Wang,

C B Mi

et al.

Postgraduate Medical Journal, Journal Year: 2024, Volume and Issue: unknown

Published: July 31, 2024

The challenges posed by an aging society are increasingly recognized, particularly regarding the potential impacts of high-fat diets and trend toward younger ages disease onset. purpose this study was to clarify relationships between prevalence stroke in general US population PhenoAge (PA) PhenoAgeAccel (PAA).

Language: Английский

Citations

2
Identification of potential diagnostic biomarkers for hypertension via integrated analysis of gene expression and DNA methylation DOI Creative Commons
Xiujiang Han, Jing Xue, Sheng Gao

et al.

Blood Pressure, Journal Year: 2024, Volume and Issue: 33(1)

Published: Aug. 1, 2024

Hypertension refers to the elevated blood pressure (BP) in arteries, with a BP reading of 140/90 mm Hg or higher adults. Over 40% >25-year-old population have suffered from hypertension. Thus, this study aimed find novel diagnostic biomarkers for

Language: Английский

Citations

2
Evaluating the role of biological age in osteoporosis risk among middle-aged and older adults: A nationwide perspective DOI

Guomao Zhu,

Buyu Guo,

Jinqian Liang

et al.

Bone, Journal Year: 2024, Volume and Issue: 189, P. 117255 - 117255

Published: Sept. 14, 2024

Language: Английский

Citations

2
From the molecular to the functional level: the aging continuum through blood pressure trajectories DOI Creative Commons
Leonardo Bencivenga, Laure Rouch

The journal of nutrition health & aging, Journal Year: 2024, Volume and Issue: 28(9), P. 100320 - 100320

Published: July 20, 2024

Language: Английский

Citations

0
Association between phenotypic age and mortality risk in individuals with obesity: a retrospective cohort study DOI Creative Commons

Yingxuan Huang,

Apei Zhou, Yisen Huang

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 9, 2024

This study investigates the association between phenotypic age acceleration (PAA) and all-cause cause-specific mortality in obese individuals.

Language: Английский

Citations

0