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Korean J Health Promot 2023 ; 23 (3) : p.169~170
Prevalence of Metabolic Syndrome and Related Factors Based on Smoking Status and Physical Activity in Korean Adult Men

Han Yuan1, Maeng-Kyu Kim1,2,3

1 Department of Physical Education, Graduate School, Kyungpook National University, Daegu, Korea 2 Department of Physical Education, Kyungpook National University College of Education, Daegu, Korea 3 Sports Science Research Institute, Kyungpook National University, Daegu, Korea

http://dx.doi.org/10.15384/kjhp.2023.23.2.75
Korean J Health Promot 2023;23(2):75-84 º» ÇмúÁö 23±Ç 2È£¿¡ °ÔÀçµÈ À§ ³í¹®¿¡ ´ÙÀ½°ú °°ÀÌ ¿À·ù°¡ ÀÖ ¾î Á¤Á¤ÇÕ´Ï´Ù. 1. Figure 1. »çÁø ÆÄÀÏ ¿À·ù Before correction Figure 1. The path model in this study (n=61). The model¡¯s fit showed a perfect fit to the data based on the results (¥ö 2=1.22, df=4, RMR=0.016, RMSEA¡Â0.001, GFI=0.993, AGFI=0.965, NFI=0.988, CFI=1.00). The model¡¯s fit showed a perfect fit to the data based on the results (¥ö2=1.22, df=4, RMR=0.016, RMSEA¡Â0.001, GFI=0.993, AGFI=0.965, NFI=0.988, CFI=1.00). df, degree of freedom; RMR, root mean square residual; RMSEA, root mean square error of approximation; GFI, goodness-of-fit index; AGFI, adjusted goodness-of-fit index; NFI, normed fit index; CFI, comparative fit index; AMOS, analysis of moment structures. aAll values indicate stand- ardized coefficients using AMOS with maximum likelihood estimation obtained by the path analysis. bP<0.05. After correction Figure 1 . Flow chart of inclusion and exclusion of the study participants.


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