Results 181 to 190 of about 67,645 (203)

From disease-free status to cardiometabolic multimorbidity: Metabolomic signatures associated with cardiometabolic progression

Maturitas
Although research has focused on metabolomic profiles linked to individual cardiometabolic diseases, there is a lack of studies on metabolomic signatures associated with cardiometabolic multimorbidity.We included 79,712 participants without cardiometabolic disease from the UK Biobank, randomly divided at a 70:30 training:testing ratio. Cox proportional
Ming, Sun, Rong, Huang, Weijing, Gao, Xueqing, Jia, Mengying, Han, Yating, Miao, Ning, Ning, Wenhui, Zhou, Xinke, Wang, Dong, Hang, Zuyun, Liu, Yanan, Ma   +11 more
openaire   +2 more sources

Accelerated Biological Aging: Unveiling the Path to Cardiometabolic Multimorbidity, Dementia, and Mortality

Frontiers in Public Health
BackgroundCardiometabolic multimorbidity (CMM) and aging are increasing public health concerns. This prospective study used UK Biobank cohort to investigate the relationship between biological aging and the trajectory of CMM to dementia and mortality.MethodsCMM is the coexistence of at least two cardiometabolic diseases (CMD), including stroke ...
Yu Jia, Yi Lei, Xiaoyang Liao
exaly   +4 more sources

Association of cardiorespiratory fitness with the incidence and progression trajectory of cardiometabolic multimorbidity

British Journal of Sports Medicine
Objectives This study examined the relationship of cardiorespiratory fitness (CRF) in the transition from healthy status to first cardiometabolic disease, subsequent cardiometabolic multimorbidity and further to death.
Yanchun Chen, Hongxi Yang, Dun Li, Lihui Zhou, Jing Lin, Xin Yin, Weiling Yang, Ying Gao, Qing Zhang, Sean X Leng, Yaogang Wang   +10 more
openaire   +2 more sources

Ultra-processed food, genetic risk, and the risk of cardiometabolic diseases and cardiometabolic multimorbidity: A prospective study

Nutrition, Metabolism and Cardiovascular Diseases
This study aims to evaluate the impact of ultra-processed food (UPF) on type 2 diabetes (T2D), cardiovascular disease (CVD), hypertension, and cardiometabolic multimorbidity (CMM), and to explore the role of genetic susceptibility in these associations.90 631 participants from the UK Biobank were included (collected between 2006 and 2010). The outcomes
Jing Wang, Tingting Chen, Wenmin Zhu, Ziwei Shi, Xiaolong Yan, Zhiqun Lei, Qi Wang   +6 more
openaire   +2 more sources

Harnessing machine learning to decode dietary Impacts on cardiometabolic multimorbidity

International Journal of Medical Informatics
The objective of this research is to develop and validate the efficacy of a machine learning model that integrates 13 nutrients with baseline characteristics to predict Cardiometabolic Multimorbidity (CMM). Furthermore, the study aims to examine the role of key nutrients in assessing disease risk and to elucidate the underlying mechanisms involved.Data
Ran Liu, Lei Tang, Feng Zhang, Ye Li, Qiaoling Tang, Xiangbin Zhang, Wang Li, Sai Wang, Yupeng Zhang, Lei Chen, Junyi Ma, Xuelun Zou, Tianxing Yao, Rongmei Tang, Zhaoyang Cai, Yexiang Yi, Yi Zeng, Le Zhang   +17 more
openaire   +2 more sources

Liver‐Pancreas Fat Deposition: Impact on Cardiometabolic Multimorbidity and Cardiac Dysfunction

Liver International
ABSTRACT Background & Aims Metabolic dysfunction‐associated steatotic liver disease (MASLD) and pancreatic steatosis (PS) are interconnected ectopic fat conditions linked to cardiometabolic dysregulation.
Li‐You Lian, Tianyi Xia, Zhong‐Wei Chen, Cai‐Yun Wen, Xiao‐Dong Zhou, Tie Xiao, Giovanni Targher, Christopher D. Byrne, Yee Hui Yeo, Shenghong Ju, Wen‐Yue Liu, Ming‐Hua Zheng   +11 more
openaire   +2 more sources

Breast Cancer Survivors Face Greater Cardiometabolic Risks

Ca-A Cancer Journal for Clinicians, 2022
Mike Fillon
exaly  

Approaches to Self-Management in Cardiometabolic Multimorbidity: A Qualitative Exploration

We used a qualitative description study design utilizing individual virtual interviews. Participants were included if they had CM and were ≥ 19 years of age. Data was transcribed verbatim and thematic analysis was used to generate themes in a systematic fashion. Initial themes were sent to participants as part of a member check process.
Nicole Ketter, Suzanne Huot, Mary Jung, Brodie Sakakibara   +3 more
openaire   +1 more source

Trends in the Prevalence of Cardiometabolic Multimorbidity in the United States, 1999–2018

International Journal of Environmental Research and Public Health, 2022
Xunjie Cheng, Guo-Gang Zhang, Tianqi Ma
exaly  

Long-Term Exposure to Ambient Air Pollution Is a Risk Factor for Trajectory of Cardiometabolic Multimorbidity: A Prospective Study in the UK Biobank

EBioMedicine, 2022
Xia Meng, Haidong Kan, Renjie Chen
exaly