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Table 2 Basic information of selected articles

From: Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries

First author

Year of publishing

Location

Sample size

Study design

Definition criteria for MetS

Follow up/study time (year)

Statistical model

Xiaoxian Jia [19]

2018

Dongying City/china

21,777

longitudinal study

Chinese Diabetes Society (CDS)

6

Markov modeling

Xiaoxiao Chen [16]

2014

Dongying City/china

7510

longitudinal study

Chinese Diabetes Society (CDS)

6

Markov modeling

Xiao Tang [24]

2018

Dalian City/china

5881

longitudinal study

Chinese Diabetes Society (CDS)

7

Markov modeling

Lee-Ching Hwang [21]

2013

Taiwan

2247

longitudinal study

revised AHA/NHLBI

5

Markov modeling

Maria A. Barcelo [26]

2017

Catalonia,

Spain

13,030

retrospective cohort

the American Diabetes Association

8

multivariate survival analysis

Bernard M. Y. Cheung [18]

2008

Hong Kong/china

1944

longitudinal study

NCEP and IDF

6

Multivariate

logistic regression

Angelo Scuteri [17]

2009

Baltimore/ Maryland

967

longitudinal study

NCEP

6

Linear mixed-effects regression models

Angela D. Liese [14]

1997

U.S.

6113

retrospective cohort

–

6

Multiple logistic regression

Pratik A. Patel [30]

2013

Minnesota

1042

longitudinal study

NCEP

8.3

Cox regression analysis

Oscar H. Franco [31]

2009

Framingham

3078

longitudinal study

NCEP

9

logistic regression/ Cox regression analysis

Robin Haring [25]

2012

Pomerania /Central Europe

3187

longitudinal study

NCEP

5

Network-Based Approach

John A Morrison [32]

2005

Ohio

2270

longitudinal study

NCEP

10

Longitudinal regression models