2023
DOI: 10.1038/s41467-023-42423-y
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Development and validation of an age-sex-ethnicity-specific metabolic syndrome score in the Chinese adults

Shujuan Yang,
Bin Yu,
Wanqi Yu
et al.

Abstract: Metabolic syndrome (MetS) is characterized by metabolic dysfunctions and could predict future risk for cardiovascular diseases (CVDs). However, the traditionally defined dichotomous MetS neither reflected MetS severity nor considered demographic variations. Here we develop a continuous, age-sex-ethnicity-specific MetS score based on continuous measures of the five metabolic dysfunctions (waist circumference [WC], triglycerides [TG], high-density lipoprotein cholesterol [HDL-C], mean arterial pressure [MAP], an… Show more

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Cited by 10 publications
(4 citation statements)
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“…1 ). 15 A multi-stage cluster random sampling method, adopted by the Chinese Center for Disease Prevention and Control to carry out the national Chronic Disease and Risk Factor Surveillance, 16 , 17 was used to recruit participants from the general population in selected communities, which were chosen from each of the selected districts/counties in three provinces. Participants were invited to participate in the surveys if meeting all following inclusion criteria: 1) being aged 18 or older on the day of the survey; 2) living in the selected communities for more than three years; and 3) not having severe mental illnesses, such as paraplegia, schizophrenia, and terminal illnesses.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…1 ). 15 A multi-stage cluster random sampling method, adopted by the Chinese Center for Disease Prevention and Control to carry out the national Chronic Disease and Risk Factor Surveillance, 16 , 17 was used to recruit participants from the general population in selected communities, which were chosen from each of the selected districts/counties in three provinces. Participants were invited to participate in the surveys if meeting all following inclusion criteria: 1) being aged 18 or older on the day of the survey; 2) living in the selected communities for more than three years; and 3) not having severe mental illnesses, such as paraplegia, schizophrenia, and terminal illnesses.…”
Section: Methodsmentioning
confidence: 99%
“…As a result, the Fujian Behavior and Disease Surveillance Cohort (FBDS) was established during 2018–2020, recruiting 54,961 adults aged >18 years from 29 districts/counties of the province, with a participation rate of 85%–92%; the Hubei Behavior and Disease Surveillance Cohort (HBDS) was established during 2018–2020, recruiting 27,962 adults aged >18 years from 10 districts/counties of the province, with a participation rate of 91%; and the Yunnan Behavior and Disease Surveillance Cohort (YBDS) was established from January to August 2021, recruiting 51,480 adults aged >18 years from 35 districts/counties of the province, with a participation rate of 99.7%. 15
Fig. 1 Distributions of the study participants and the 3-year average PM 2.5 concentrations in three provinces.
…”
Section: Methodsmentioning
confidence: 99%
“…Notably, many previous studies in SGAs' effects were conducted in European populations, and rarely on Asian/Chinese settings. Given the difference in baseline BMI and metabolic profiles between Asian and European populations [24][25][26][27], it is valuable to study SGAs' effects using a Chinese sample.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, the binary classi cation of MetS failed to accurately re ect the severity of metabolic disturbances and overlooked differences in race, sex, and age, leading to inadequate capture of the subtle variations in the progression of MetS. To address these issues, Yang et al developed an age-sex-racespeci c MetS scoring system(Met Score) for the Chinese population (19). This system quanti es the severity of MetS by reweighting ve common metabolic disorder factors-triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), fasting blood glucose (FBG), waist circumference (WC), and mean arterial pressure (MAP)-and has been validated in three large population samples for its effectiveness in predicting adverse outcomes associated with MetS.…”
Section: Introductionmentioning
confidence: 99%