Cohort profile: the prospective cohort study on the incidence of metabolic diseases and risk factors in Shunde, China (Speed-Shunde cohort)

队列 医学 前瞻性队列研究 血脂异常 非酒精性脂肪肝 队列研究 入射(几何) 代谢综合征 内科学 糖尿病 脂肪肝 疾病 肥胖 内分泌学 光学 物理
作者
Heng Wan,Nanfang Yao,Jing Yang,Guoqiu Huang,Si‐Yang Liu,Xiao Wang,Xü Lin,Zhao Li,Lingling Liu,Aimin Yang,Lan Liu,Jie Shen
出处
期刊:European Heart Journal - Quality of Care and Clinical Outcomes [Oxford University Press]
卷期号:11 (1): 3-9 被引量:7
标识
DOI:10.1093/ehjqcco/qcae077
摘要

Abstract Aims The objective of this prospective cohort study on the incidence of metabolic diseases and risk factors in Shunde (Speed-Shunde cohort) was to evaluate the incidence of cardiovascular–kidney–metabolic (CKM) syndrome and metabolic-associated multimorbidity, such as diabetes, hypertension, dyslipidaemia, and metabolic dysfunction-associated steatotic liver disease in Shunde, Foshan, Guangdong, China. Additionally, the study sought to identify the potential determinants that may impact the development of these conditions and the potential consequences that may result. Methods and results In the Speed-Shunde cohort, data were gathered via questionnaires, physical measurements, and laboratory analyses encompassing demographic data, behavioural tendencies, anthropometric assessments, controlled attenuation parameters, and liver stiffness measurement utilizing vibration-controlled transient elastography, as well as serum and urine detection (such as oral 75 g glucose tolerance tests, haemoglobin A1c levels, lipid profiles, liver and renal function tests, urinary microalbumin, and creatinine levels). The baseline data were gathered from October 2021 to September 2022 from over 10 000 Chinese community-based adults and the follow-up surveys would be conducted every 2 or 3 years. Blood and urine samples were obtained and stored for future omics data acquisition. Initial analyses revealed the prevalence and risk factors associated with metabolic-associated multimorbidity. Conclusions The Speed-Shunde cohort study is a longitudinal community-based cohort with comprehensive CKM health and metabolic-associated multimorbidity assessment. It will provide valuable insights into these conditions’ development, progression, and interrelationships, potentially informing future prevention and treatment strategies.
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