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For: Amiri P, Jalali-Farahani S, Karimi M, Taherian R, Kazempour-Ardebili S, Hosseini-Esfahani F, Mirmiran P, Azizi F. Factors associated with pre-diabetes in Tehranian men and women: A structural equations modeling. PLoS One 2017;12:e0188898. [PMID: 29216229 DOI: 10.1371/journal.pone.0188898] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Paudel S, Tran T, Owen AJ, Smith BJ. The contribution of physical inactivity and socioeconomic factors to type 2 diabetes in Nepal: A structural equation modelling analysis. Nutr Metab Cardiovasc Dis 2020;30:1758-67. [PMID: 32636120 DOI: 10.1016/j.numecd.2020.06.003] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Lee TL, Hsuan CF, Wu CC, Hung WC, Tsai IT, Wei CT, Yu TH, Lu IC, Chung FM, Lee YJ, Lu YC. Association between Triglyceride Glucose Index and Corrected QT Prolongation in Chinese Male Steelworkers. Int J Environ Res Public Health 2021;18:4020. [PMID: 33921213 DOI: 10.3390/ijerph18084020] [Reference Citation Analysis]
3 Tura A, Pacini G, Moro E, Vrbíková J, Bendlová B, Kautzky-Willer A. Sex- and age-related differences of metabolic parameters in impaired glucose metabolism and type 2 diabetes compared to normal glucose tolerance. Diabetes Res Clin Pract 2018;146:67-75. [PMID: 30287229 DOI: 10.1016/j.diabres.2018.09.019] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
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5 Siddiqui S, Zainal H, Harun SN, Sheikh Ghadzi SM, Ghafoor S. Gender differences in the modifiable risk factors associated with the presence of prediabetes: A systematic review. Diabetes Metab Syndr 2020;14:1243-52. [PMID: 32688241 DOI: 10.1016/j.dsx.2020.06.069] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 6.0] [Reference Citation Analysis]
6 Darbandi M, Najafi F, Pasdar Y, Rezaeian S. Structural equation model analysis for the evaluation of factors associated with overweight and obesity in menopausal women in RaNCD cohort study. Menopause 2020;27:208-15. [PMID: 31895176 DOI: 10.1097/GME.0000000000001452] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
7 Mphekgwana PM, Mabila LN, Maimela E. Indirect and direct effects of factors associated with diabetes amongst the rural black population in the Dikgale Health and Demographic Surveillance System, South Africa. Afr J Prim Health Care Fam Med 2021;13:e1-6. [PMID: 34342480 DOI: 10.4102/phcfm.v13i1.2819] [Reference Citation Analysis]
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