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Jul 15, 2017 (publication date) through Nov 25, 2024
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Publication Name
World Journal of Diabetes
ISSN
1948-9358
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Haghighatdoost F, Amini M, Feizi A, Iraj B. Are body mass index and waist circumference significant predictors of diabetes and prediabetes risk: Results from a population based cohort study. World J Diabetes 2017; 8(7): 365-373 [PMID: 28751960 DOI: 10.4239/wjd.v8.i7.365] |
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| URL: | https://www.wjgnet.com/1948-9358/full/v8/i7/365.htm |
| Number | Citing Articles |
| 1 |
Dan Tzizik. A multilevel life course perspective on type 2 diabetes. JAAPA 2019; 32(12): 34 doi: 10.1097/01.JAA.0000604868.56572.28
|
| 2 |
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|
| 3 |
Bernd Richter, Bianca Hemmingsen, Maria-Inti Metzendorf, Yemisi Takwoingi. Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia. Cochrane Database of Systematic Reviews 2018; 2018(11) doi: 10.1002/14651858.CD012661.pub2
|
| 4 |
ShamboSamrat Samajdar, Shatavisa Mukherjee, SabnamAra Begum, Sumalya Sen, SantanuKumar Tripathi. Anthropometric measures in risk prediction for type 2 diabetes mellitus? – A cross-sectional study in regular athletes. International Journal of Health & Allied Sciences 2021; 10(2): 152 doi: 10.4103/ijhas.IJHAS_28_20
|
| 5 |
Zhongyan Tian, Yuqian Li, Linlin Li, Xiaotian Liu, Haiqing Zhang, Xia Zhang, Xinling Qian, Wen Zhou, Jingjing Jiang, Jingzhi Zhao, Lei Yin, Chongjian Wang. Gender-specific associations of body mass index and waist circumference with type 2 diabetes mellitus in Chinese rural adults: The Henan Rural Cohort Study. Journal of Diabetes and its Complications 2018; 32(9): 824 doi: 10.1016/j.jdiacomp.2018.06.012
|
| 6 |
Awat Feizi, Parisa Khodabandeh Shahraki, Azimeh Maghzi Najafabadi, Bijan Iraj, Majid Abyar, Massoud Amini, Rokhsareh Meamar, Ashraf Aminorroaya. The association of exposure to air pollution with changes in plasma glucose indices, and incidence of diabetes and prediabetes: A prospective cohort of first-degree relatives of patients with type 2 diabetes. Journal of Research in Medical Sciences 2023; 28(1) doi: 10.4103/jrms.jrms_477_22
|
| 7 |
Minsun Song, Soo Heon Kwak, Jihyun Kim. Risk prediction and interaction analysis using polygenic risk score of type 2 diabetes in a Korean population. Scientific Reports 2024; 14(1) doi: 10.1038/s41598-024-55945-2
|
| 8 |
Rosario Suárez, Patricia Diaz, Yoredy Sarmiento-Andrade, Marcela Cadena, Ludwig Alvarez, Evelyn Frias-Toral. Evaluación del estilo de vida con el riesgo de diabetes mellitus tipo 2 en trabajadores universitarios ecuatorianos. Bionatura 2023; 8(2): 1 doi: 10.21931/RB/2023.08.02.6
|
| 9 |
Anthony Chen, Weiju Zhou, Jian Hou, Alan Nevill, Yuanlin Ding, Yuhui Wan, Rebecca Jester, Xia Qin, Zhi Hu, Ruoling Chen. Impact of Older Age Adiposity on Incident Diabetes: A Community-Based Cohort Study in China. Diabetes & Metabolism Journal 2022; 46(5): 733 doi: 10.4093/dmj.2021.0215
|
| 10 |
Rouham Yamout, Walid Ammar, Jiana Tabbara, Souha Fares, Moubadda Assi, Abla M. Sibai. Waist circumference cutoff points for predicting metabolic abnormalities in Lebanese adults. Archives of Medical Science – Civilization Diseases 2019; 4(1): 64 doi: 10.5114/amscd.2019.86814
|
| 11 |
Agus Hendra Al Rahmad. Faktor Risiko Obesitas pada Guru Sekolah Perempuan serta Relevansi dengan PTM Selama Pandemi Covid-19. Amerta Nutrition 2021; 5(1): 31 doi: 10.20473/amnt.v5i1.2021.31-40
|
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|
| 13 |
Ryoko Higuchi, Taizo Iwane, Kaname Suwa, Kei Nakajima. Adjustment for Waist Circumference Reveals a U-Shaped Association Between Glycated Hemoglobin Levels and Body Mass Index in Young Adults. Canadian Journal of Diabetes 2019; 43(3): 201 doi: 10.1016/j.jcjd.2018.09.007
|
| 14 |
Mohammad Fakhrolmobasheri, Davood Shafie, Behrad Manshaee, Shima Karbasi, Alireza Mazroui, Mahsa Mohammadi Najafabadi, Sadegh Mazaheri-Tehrani, Masoumeh Sadeghi, Hamidreza Roohafza, Maryam Emamimeybodi, Maryam Heidarpour, Najmeh Rabanipour, Nizal Sarrafzadegan. Accuracy of novel anthropometric indices for assessing the risk for progression of prediabetes to diabetes; 13 years of results from Isfahan Cohort Study. Archives of Endocrinology and Metabolism 2024; 68 doi: 10.20945/2359-4292-2023-0269
|
| 15 |
Marta Sánchez, Enric Sánchez, Marcelino Bermúdez-López, Gerard Torres, Cristina Farràs-Sallés, Reinald Pamplona, Eva Castro-Boqué, José Valdivielso, Francisco Purroy, Montserrat Martínez-Alonso, Pere Godoy, Dídac Mauricio, Elvira Fernández, Marta Hernández, Ferran Rius, Albert Lecube. Clinical Usefulness of Anthropometric Indices to Predict the Presence of Prediabetes. Data from the ILERVAS Cohort. Nutrients 2021; 13(3): 1002 doi: 10.3390/nu13031002
|
| 16 |
Ataklti Gebertsadik Woldegebriel, Kiros Ajemu Fenta, Asfawosen Berhe Aregay, Abraham Desta Aregay, Nega Bezabih Mamo, Tewolde Woldearegay Wubayehu, Alemayehu Bayray, Afework Mulugeta. Effectiveness of Anthropometric Measurements for Identifying Diabetes and Prediabetes among Civil Servants in a Regional City of Northern Ethiopia: A Cross-Sectional Study. Journal of Nutrition and Metabolism 2020; 2020: 1 doi: 10.1155/2020/8425912
|
| 17 |
Majed Meripour, Hashem Mohamadian, Morteza Abdullatif Khafaie. Evaluation of Anthropometric Indices and Biochemical Markers in Iranian Prediabetics in Hoveyzeh Located in Southwest Iran: A Cross-sectional Study. Jundishapur Journal of Chronic Disease Care 2021; 10(4) doi: 10.5812/jjcdc.117444
|
| 18 |
Dennis Schrijnders, Steven H. Hendriks, Nanne Kleefstra, Pauline A. J. Vissers, Jeffrey A. Johnson, Geertruida H. de Bock, Henk J. G. Bilo, Gijs W. D. Landman, Harald Mischak. Sex differences in obesity related cancer incidence in relation to type 2 diabetes diagnosis (ZODIAC-49). PLOS ONE 2018; 13(1): e0190870 doi: 10.1371/journal.pone.0190870
|
| 19 |
Jun-Sang Yu, Younghwa Baek, Daesung Hyun, Sei-Jin Chang. Customized BMI and waist circumference cut-off values are needed to identify metabolic syndrome among South Koreans according to their Sasang constitutional type. Journal of Korean Medicine 2018; 39(4): 51 doi: 10.13048/jkm.18034
|
| 20 |
Marie Fanelli Kuczmarski, Elizabeth Orsega-Smith, Michele K. Evans, Alan B. Zonderman. The Association of Loneliness with Diabetes Is Mediated by Physical Activity and BMI but Not Diet Quality. Nutrients 2023; 15(23): 4923 doi: 10.3390/nu15234923
|
| 21 |
Keddagoda Gamage Piyumi Wasana, Anoja Priyadarshani Attanayake, Thilak Priyantha Weerarathna, Kamani Ayoma Perera Wijewardana Jayatilaka. Demographic Associations of Diabetes Status by Both Fasting Plasma Glucose Concentration and Glycated Hemoglobin in a Community Survey in Galle District, Sri Lanka. Journal of Nutrition and Metabolism 2020; 2020: 1 doi: 10.1155/2020/6127432
|
| 22 |
Butheinah A Al-Sharafi, Ahmed A Qais, Khalil Salem, Muneer O Bashaaib. Family History, Consanguinity and Other Risk Factors Affecting the Prevalence of Prediabetes and Undiagnosed Diabetes Mellitus in Overweight and Obese Yemeni Adults. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2021; : 4853 doi: 10.2147/DMSO.S344440
|
| 23 |
Ying‐Bin You, Hua Zhou, Jing Han, Yan‐Hui Zhu, Ding Zan, Qing‐Ying Zhang. Anthropometry did not approach adequate predictive accuracies for detecting elevated fasting plasma glucose or hemoglobin A1c levels among Chinese children aged 7–9 years. Journal of Diabetes Investigation 2021; 12(5): 781 doi: 10.1111/jdi.13395
|
| 24 |
Makiko Abe, Hideyuki Fujii, Shunsuke Funakoshi, Atsushi Satoh, Miki Kawazoe, Toshiki Maeda, Kazuhiro Tada, Soichiro Yokota, Toshitaka Yamanokuchi, Chikara Yoshimura, Ryosuke Mimata, Koji Takahashi, Kenji Ito, Tetsuhiko Yasuno, Takeshi Kuga, Shigeki Mukoubara, Kozaburo Akiyoshi, Daiji Kawanami, Kosuke Masutani, Hisatomi Arima. Comparison of Body Mass Index and Waist Circumference in the Prediction of Diabetes: A Retrospective Longitudinal Study. Diabetes Therapy 2021; 12(10): 2663 doi: 10.1007/s13300-021-01138-3
|
| 25 |
Imnameren Longkumer, Naorem Kiranmala Devi, Benrithung Murry, Kallur Nava Saraswathy. Differential risk factors and morbidity/mortality pattern in type 2 diabetes: A study among two Mendelian populations with different ancestry (India). Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2020; 14(6): 1769 doi: 10.1016/j.dsx.2020.09.006
|
| 26 |
Nana Wang, Yuying Li, Chuanji Guo. Waist-corrected BMI predicts incident diabetes mellitus in a population-based observational cohort study. Frontiers in Endocrinology 2023; 14 doi: 10.3389/fendo.2023.1186702
|
| 27 |
Eva Hohoff, Nicole Jankovic, Ines Perrar, Maike Schnermann, Christian Herder, Ute Nöthlings, Lars Libuda, Ute Alexy. The association between dairy intake in adolescents on inflammation and risk markers of type 2 diabetes during young adulthood: results of the DONALD study. Public Health Nutrition 2024; 27(1) doi: 10.1017/S1368980024000624
|
| 28 |
Shahla Safari, Maryam Abdoli, Masoud Amini, Ashraf Aminorroaya, Awat Feizi. A 16-year prospective cohort study to evaluate effects of long-term fluctuations in obesity indices of prediabetics on the incidence of future diabetes. Scientific Reports 2021; 11(1) doi: 10.1038/s41598-021-91229-9
|
| 29 |
Marcos de Sá Rego Fortes, Samir Ezequiel da Rosa, Walmir Coutinho, Eduardo Borba Neves. Epidemiological study of metabolic syndrome in Brazilian soldiers. Archives of Endocrinology and Metabolism 2019; doi: 10.20945/2359-3997000000115
|
| 30 |
Yuanyuan Jiang, Shan Jiang, Qing Long, Jundi Yang, Jyu-Lin Chen, Jia Guo. Factors Associated with Hemoglobin A1c Level Among Women Without Prior Diabetes Diagnosis in Rural Areas of Central South China: A Cross-Sectional Study. International Journal of Women's Health 2022; : 741 doi: 10.2147/IJWH.S362143
|
| 31 |
Sally Sonia Simmons. Strikes and Gutters: Biomarkers and anthropometric measures for predicting diagnosed diabetes mellitus in adults in low- and middle-income countries. Heliyon 2023; 9(9): e19494 doi: 10.1016/j.heliyon.2023.e19494
|
| 32 |
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|
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|
| 34 |
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|
| 35 |
Yong Han, Haofei Hu, Zhiqiang Huang, Dehong Liu. Association between body mass index and reversion to normoglycemia from impaired fasting glucose among Chinese adults: a 5-year cohort study. Frontiers in Endocrinology 2023; 14 doi: 10.3389/fendo.2023.1111791
|
| 36 |
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|
| 37 |
Tae Kyung Yoo, Kyung-Do Han, Yang-Hyun Kim, Ga Eun Nam, Sang Hyun Park, Eun-Jung Rhee, Won-Young Lee. Differential Impact of Obesity on the Risk of Diabetes Development in Two Age Groups: Analysis from the National Health Screening Program. Diabetes & Metabolism Journal 2023; 47(6): 846 doi: 10.4093/dmj.2022.0242
|