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Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses
Open accessAbstract
BACKGROUND: Type 2 diabetes mellitus (T2DM) is a global epidemic associated with increased health expenditure, and low quality of life. Many non-genetic risk factors have been suggested, but their overall epidemiological credibility has not been assessed. METHODS: We searched PubMed to capture all meta-analyses and Mendelian randomization studies for risk factors of T2DM. For each association, we estimated the summary effect size, its 95% confidence and prediction interval, and the I2 metric. We examined the presence of small-study effects and excess significance bias. We assessed the epidemiological credibility through a set of predefined criteria. RESULTS: We captured 86 eligible papers (142 associations) covering a wide range of biomarkers, medical conditions, and dietary, lifestyle, environmental and psychosocial factors. Adiposity, low hip circumference, serum biomarkers (increased level of alanine aminotransferase, gamma-glutamyl transferase, uric acid and C-reactive protein, and decreased level of adiponectin and vitamin D), an unhealthy dietary pattern (increased consumption of processed meat and sugar-sweetened beverages, decreased intake of whole grains, coffee and heme iron, and low adherence to a healthy dietary pattern), low level of education and conscientiousness, decreased physical activity, high sedentary time and duration of television watching, low alcohol drinking, smoking, air pollution, and some medical conditions (high systolic blood pressure, late menarche age, gestational diabetes, metabolic syndrome, preterm birth) presented robust evidence for increased risk of T2DM. CONCLUSIONS: A healthy lifestyle pattern could lead to decreased risk for T2DM. Future randomized clinical trials should focus on identifying efficient strategies to modify harmful daily habits and predisposing dietary patterns.
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In the citing paper
“Clinical guidelines recommend the monitoring of HbA1c every three months with frequent therapy modification until the glycemic goal is achieved [5].”
From Clinical Inertia in the Management of Type 2 Diabetes Mellitus: A Systematic Review (2023) · cites this paper as [5]
Experimental — accuracy not yet measuredIn the citing paper
“Obesity was associated with an increased risk of AD, DM, CHD, stroke and liver and bowel cancer by between 33% and 588%.11,77,81,85”
From Common risk factors for major noncommunicable disease, a systematic overview of reviews and commentary: the implied potential for targeted risk reduction (2019) · cites this paper as [77]
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“High adherence to a Mediterranean diet was shown to reduce risk across all five NCDs by between 4% and 36%,11,77,90,93,98”
From Common risk factors for major noncommunicable disease, a systematic overview of reviews and commentary: the implied potential for targeted risk reduction (2019) · cites this paper as [77]
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“higher levels of physical activity similarly resulted in risk reduction of between 13% and 45%.11,75,77,94”
From Common risk factors for major noncommunicable disease, a systematic overview of reviews and commentary: the implied potential for targeted risk reduction (2019) · cites this paper as [77]
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Citations
Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
International Diabetes Federation 2017
Carracher, A. M., Marathe, P. H., & Close, K. L. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12644 · Cited by 13,379
The metabolic phenotype in obesity: Fat mass, body fat distribution, and adipose tissue function
Goossens, G. H. (2017) · Obesity Facts · doi:10.1159/000471488 · Cited by 8,481
Sterne, J. A. C., Sutton, A. J., Ioannidis, J. P. A., Terrin, N., Jones, D. R., Lau, J., Carpenter, J., Rucker, G., Harbord, R. M., Schmid, C. H., et al. (2011) · BMJ · doi:10.1136/bmj.d4002 · Cited by 7,709
Obesity and insulin resistance
Kahn, B. B., & Flier, J. S. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10842 · Cited by 3,345
Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis
Bellamy, L., Casas, J.-P., Hingorani, A. D., & Williams, D. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60731-5 · Cited by 3,253
Biswas, A., Oh, P. I., Faulkner, G. E., Bajaj, R. R., Silver, M. A., Mitchell, M. S., & Alter, D. A. (2015) · Annals of Internal Medicine · doi:10.7326/m14-1651 · Cited by 2,726
A Re-Evaluation of Random-Effects Meta-Analysis
Higgins, J. P. T., Thompson, S. G., & Spiegelhalter, D. J. (2009) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2008.00552.x · Cited by 2,569
Quantitative Synthesis in Systematic Reviews
Lau, J., Ioannidis, J. P. A., & Schmid, C. H. (1997) · Annals of Internal Medicine · doi:10.7326/0003-4819-127-9-199711010-00008 · Cited by 2,517
Pathophysiology and treatment of type 2 diabetes: perspectives on the past, present, and future
Kahn, S. E., Cooper, M. E., & Del Prato, S. (2014) · The Lancet · doi:10.1016/s0140-6736(13)62154-6 · Cited by 1,743
Quantity and Quality of Sleep and Incidence of Type 2 Diabetes
Cappuccio, F. P., D'Elia, L., Strazzullo, P., & Miller, M. A. (2010) · Diabetes Care · doi:10.2337/dc09-1124 · Cited by 1,670
de Souza, R. J., Mente, A., Maroleanu, A., Cozma, A. I., Ha, V., Kishibe, T., Uleryk, E., Budylowski, P., Schünemann, H., Beyene, J., et al. (2015) · BMJ · doi:10.1136/bmj.h3978 · Cited by 1,424
Horta, B. L., de Mola, C. L., & Victora, C. G. (2015) · Acta Paediatrica · doi:10.1111/apa.13133 · Cited by 1,284
Type 2 diabetes incidence and socio-economic position: a systematic review and meta-analysis
Agardh, E. E., Allebeck, P., Hallqvist, J., Moradi, T., & Sidorchuk, A. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr029 · Cited by 1,113
Moran, L. J., Misso, M. L., Wild, R. A., & Norman, R. J. (2010) · Human Reproduction Update · doi:10.1093/humupd/dmq001 · Cited by 1,108
Diabetes: a 21st century challenge
Zimmet, P. Z., Magliano, D. J., Herman, W. H., & Shaw, J. E. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70112-8 · Cited by 1,062
Commentary: Heterogeneity in meta-analysis should be expected and appropriately quantified
Higgins, J. P. T. (2008) · International Journal of Epidemiology · doi:10.1093/ije/dyn204 · Cited by 995
Adiponectin Levels and Risk of Type 2 Diabetes: A Systematic Review and Meta-analysis
Li, S., Shin, H. J., Ding, E. L., & van Dam, R. M. (2009) · JAMA · doi:10.1001/jama.2009.976 · Cited by 991
Imamura, F., O’Connor, L., Ye, Z., Mursu, J., Hayashino, Y., Bhupathiraju, S. N., & Forouhi, N. G. (2015) · BMJ · doi:10.1136/bmj.h3576 · Cited by 977
Imamura, F., O’Connor, L., Ye, Z., Mursu, J., Hayashino, Y., Bhupathiraju, S. N., & Forouhi, N. G. (2016) · British Journal of Sports Medicine · doi:10.1136/bjsports-2016-h3576rep · Cited by 968
Birth Weight and Risk of Type 2 Diabetes
Whincup, P. H., Kaye, S. J., Owen, C. G., Huxley, R., Cook, D. G., Anazawa, S., Barrett-Connor, E. L., Bhargava, S. K., Birgisdóttir, B. E., Carlsson, S., et al. (2008) · JAMA · doi:10.1001/jama.2008.886 · Cited by 949
Aune, D., Norat, T., Leitzmann, M., Tonstad, S., & Vatten, L. J. (2015) · European Journal of Epidemiology · doi:10.1007/s10654-015-0056-z · Cited by 880
Grøntved, A. (2011) · JAMA · doi:10.1001/jama.2011.812 · Cited by 873
Abdullah, A., Peeters, A., de Courten, M., & Stoelwinder, J. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2010.04.012 · Cited by 824
Inflammatory Markers and Risk of Type 2 Diabetes
Wang, X., Bao, W., Liu, J., OuYang, Y.-Y., Wang, D., Rong, S., Xiao, X., Shan, Z.-L., Zhang, Y., Yao, P., et al. (2013) · Diabetes Care · doi:10.2337/dc12-0702 · Cited by 820
An exploratory test for an excess of significant findings
Ioannidis, J. P., & Trikalinos, T. A. (2007) · Clinical Trials · doi:10.1177/1740774507079441 · Cited by 751
Ioannidis, J. P. A. (2009) · Canadian Medical Association Journal · doi:10.1503/cmaj.081086 · Cited by 716
Belbasis, L., Bellou, V., Εvangelou, Ε., Ioannidis, J. P. A., & Tzoulaki, I. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70267-4 · Cited by 715
Self-citationBirth Weight and Subsequent Risk of Type 2 Diabetes: A Meta-Analysis
Harder, T., Rodekamp, E., Schellong, K., Dudenhausen, J. W., & Plagemann, A. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwk071 · Cited by 679
The many faces of diabetes: a disease with increasing heterogeneity
Tuomilehto, J., Santoro, N., Caprio, S., Cai, M., Weng, J., & Groop, L. (2013) · The Lancet · doi:10.1016/s0140-6736(13)62219-9 · Cited by 669
Holmes, M. V., Dale, C. E., Zuccolo, L., Silverwood, R. J., Guo, Y., Ye, Z., Prieto-Merino, D., Dehghan, A., Trompet, S., Wong, A., et al. (2014) · BMJ · doi:10.1136/bmj.g4164 · Cited by 669
White rice consumption and risk of type 2 diabetes: meta-analysis and systematic review
Hu, E. A., Pan, A., Malik, V., & Sun, Q. (2012) · BMJ · doi:10.1136/bmj.e1454 · Cited by 631
Metabolic Syndrome and Incident Diabetes
Ford, E. S., Li, C., & Sattar, N. A. (2008) · Diabetes Care · doi:10.2337/dc08-0423 · Cited by 592
Pan, A., Wang, Y., Talaei, M., Hu, F. B., & Wu, T. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00316-2 · Cited by 587
Association Between Serum Uric Acid and Development of Type 2 Diabetes
Kodama, S., Saito, K., Yachi, Y., Asumi, M., Sugawara, A., Totsuka, K., Saito, A., & Sone, H. (2009) · Diabetes Care · doi:10.2337/dc09-0288 · Cited by 552
Aune, D., Norat, T., Romundstad, P., & Vatten, L. J. (2013) · European Journal of Epidemiology · doi:10.1007/s10654-013-9852-5 · Cited by 539
Blood 25-Hydroxy Vitamin D Levels and Incident Type 2 Diabetes
Song, Y., Wang, L., Pittas, A. G., Gobbo, L. C. D., Zhang, C., Manson, J. E., & Hu, F. B. (2013) · Diabetes Care · doi:10.2337/dc12-0962 · Cited by 523
Ding, M., Bhupathiraju, S. N., Chen, M., van Dam, R. M., & Hu, F. B. (2014) · Diabetes Care · doi:10.2337/dc13-1203 · Cited by 511
Afshin, A., Micha, R., Khatibzadeh, S., & Mozaffarian, D. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.076901 · Cited by 509
Whole-grain intake and the risk of type 2 diabetes: a prospective study in men
Fung, T. T., Hu, F. B., Pereira, M. A., Liu, S., Stampfer, M. J., Colditz, G. A., & Willett, W. C. (2002) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/76.3.535 · Cited by 500
Dastani, Z., Hivert, M., Timpson, N. J., Perry, J. R. B., Yuan, X., Scott, R. A., Henneman, P., Heid, I. M., Kizer, J. R., Lyytikäinen, L., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002607 · Cited by 498
The InterAct Consortium (2015) · Diabetologia · doi:10.1007/s00125-015-3585-9 · Cited by 476
Bell, J. A., Mika Kivimaki, B., & Hamer, M. (2014) · Obesity Reviews · doi:10.1111/obr.12157 · Cited by 460
Environmental risk factors and Parkinson's disease: An umbrella review of meta-analyses
Bellou, V., Belbasis, L., Tzoulaki, I., Εvangelou, Ε., & Ioannidis, J. P. A. (2015) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2015.12.008 · Cited by 443
Self-citationAune, D., Norat, T., Romundstad, P., & Vatten, L. J. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.059030 · Cited by 434
Li, M., Fan, Y., Zhang, X., Hou, W., & Tang, Z. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-005497 · Cited by 417
Bhupathiraju, S. N., Tobias, D. K., Malik, V. S., Pan, A., Hruby, A., Manson, J. E., Willett, W. C., & Hu, F. B. (2014) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.113.079533 · Cited by 402
Alanine Aminotransferase, γ-Glutamyltransferase, and Incident Diabetes
Fraser, A., Harris, R., Sattar, N. A., Ebrahim, S. B. J., Smith, G. D., & Lawlor, D. A. (2009) · Diabetes Care · doi:10.2337/dc08-1870 · Cited by 391
Aune, D., Ursin, G., & Veierød, M. B. (2009) · Diabetologia · doi:10.1007/s00125-009-1481-x · Cited by 376
Louati, K., Vidal, C., Berenbaum, F., & Sellam, J. (2015) · RMD Open · doi:10.1136/rmdopen-2015-000077 · Cited by 370
Wang, P., Fang, J., Zong-hua, G., Zhang, C. M., & Xie, S. (2015) · Journal of Diabetes Investigation · doi:10.1111/jdi.12376 · Cited by 352
Omega-3 fatty acids and incident type 2 diabetes: A systematic review and meta-analysis
Wu, J. H. Y., Micha, R., Imamura, F., Pan, A., Biggs, M. L., Ajaz, O., Djousse, L., B. Hu, F., & Mozaffarian, D. (2012) · British Journal Of Nutrition · doi:10.1017/s0007114512001602 · Cited by 340
Uric Acid and Cardiovascular Events
Kleber, M. E., Delgado, G., Grammer, T. B., Silbernagel, G., Huang, J., Krämer, B. K., Ritz, E., & März, W. (2015) · Journal of the American Society of Nephrology · doi:10.1681/asn.2014070660 · Cited by 302
Bellou, V., Belbasis, L., Tzoulaki, I., Middleton, L. T., Ioannidis, J. P. A., & Εvangelou, Ε. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.07.152 · Cited by 298
Self-citationDietary fiber intake and risk of type 2 diabetes: a dose–response analysis of prospective studies
Yao, B., Fang, H., Xu, W., Yan, Y., Xu, H., Liu, Y., Mo, M., Zhang, H., & Zhao, Y. (2014) · European Journal of Epidemiology · doi:10.1007/s10654-013-9876-x · Cited by 281
Kivimäki, M., Virtanen, M., Kawachi, I., Nyberg, S. T., Alfredsson, L., Batty, G. D., Bjorner, J. B., Borritz, M., Brunner, E. J., Burr, H., et al. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70178-0 · Cited by 279
Long-term metabolic risk among children born premature or small for gestational age.
Mericq, V., Martinez-Aguayo, A., Uauy, R., Iñiguez, G., Van der Steen, M., & Hokken-Koelega, A. (2017) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.127 · Cited by 257
Magnesium intake and risk of type 2 diabetes: a meta‐analysis
Larsson, S. C., & Wolk, A. (2007) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2007.01840.x · Cited by 251
Koloverou, E., Esposito, K., Giugliano, D., & Panagiotakos, D. (2014) · Metabolism · doi:10.1016/j.metabol.2014.04.010 · Cited by 250
Job Strain as a Risk Factor for Type 2 Diabetes: A Pooled Analysis of 124,808 Men and Women
Nyberg, S. T., Fransson, E. I., Heikkilä, K., Ahola, K., Alfredsson, L., Bjorner, J. B., Borritz, M., Burr, H., Dragano, N., Goldberg, M., et al. (2014) · Diabetes Care · doi:10.2337/dc13-2936 · Cited by 249
Age at Menarche and Risk of Type 2 Diabetes: Results From 2 Large Prospective Cohort Studies
He, C., Zhang, C., Hunter, D. J., Hankinson, S. E., Louis, G. M. B., Hediger, M. L., & Hu, F. B. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp372 · Cited by 247
Stubbs, B., Vancampfort, D., Hert, M. A. F. D., & Mitchell, A. J. (2015) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12439 · Cited by 244
Aune, D., Norat, T., Romundstad, P., & VATTEN, L. J. (2013) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2013.10.028 · Cited by 240
Adverse childhood experiences and risk of type 2 diabetes: A systematic review and meta-analysis
Huang, H., Yan, P., Shan, Z., Chen, S., Li, M., Luo, C., Gao, H., Hao, L., & Liu, L. (2015) · Metabolism · doi:10.1016/j.metabol.2015.08.019 · Cited by 239
Belbasis, L., Savvidou, M. D., Kanu, C., Evangelou, E., & Tzoulaki, I. (2016) · BMC Medicine · doi:10.1186/s12916-016-0692-5 · Cited by 237
Self-citationWANG, X., BI, Y., ZHANG, Q., & PAN, F. (2013) · Respirology · doi:10.1111/j.1440-1843.2012.02267.x · Cited by 234
Type 2 Diabetes Mellitus in Youth Exposed to Antipsychotics
Galling, B., Roldán, A., Nielsen, R. E., Nielsen, J., Gerhard, T., Carbon, M., Stubbs, B., Vancampfort, D., Binder, M. D., Olfson, M., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.2923 · Cited by 229
Dietary flavonoids intake and risk of type 2 diabetes: A meta-analysis of prospective cohort studies
Liu, Y., Zhan, J., Liu, X., Wang, Y., Ji, J., & He, Q. (2013) · Clinical Nutrition · doi:10.1016/j.clnu.2013.03.011 · Cited by 225
Kodama, S., Horikawa, C., Fujihara, K., Heianza, Y., Hirasawa, R., Yachi, Y., Sugawara, A., Tanaka, S., Shimano, H., Iida, K. T., et al. (2012) · American Journal of Epidemiology · doi:10.1093/aje/kws172 · Cited by 223
Glycemic Index, Glycemic Load, Carbohydrates, and Type 2 Diabetes
Greenwood, D. C., Threapleton, D. E., Evans, C., Cleghorn, C., Nykjaer, C., Woodhead, C., & Burley, V. J. (2013) · Diabetes Care · doi:10.2337/dc13-0325 · Cited by 223
Holmes, M. V., Lange, L. A., Palmer, T., Lanktree, M. B., North, K. E., Almoguera, B., Buxbaum, S., Chandrupatla, H. R., Elbers, C. C., Guo, Y., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.12.014 · Cited by 216
Usual Blood Pressure and Risk of New-Onset Diabetes
Emdin, C. A., Anderson, S. G., Woodward, M., & Rahimi, K. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.07.059 · Cited by 216
Li, X., Yu, F., Zhou, Y., & He, J. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.114389 · Cited by 212
Association of C-reactive protein with type 2 diabetes: prospective analysis and meta-analysis
Lee, C.-T., Adler, A., Sandhu, M. S., Sharp, S. J., Forouhi, N. G., Erqou, S. A., Luben, R., Bingham, S. A., Khaw, K., & Wareham, N. J. (2009) · Diabetologia · doi:10.1007/s00125-009-1338-3 · Cited by 205
The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis
Fall, T., Hägg, S., Mägi, R., Ploner, A., Fischer, K., Horikoshi, M., Sarin, A.-P., Thorleifsson, G., Ladenvall, C., Kals, M., et al. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001474 · Cited by 203
Prins, B. P., Abbasi, A., Wong, A., Vaez, A., Nolte, I., Franceschini, N., Stuart, P. E., Guterriez Achury, J., Mistry, V., Bradfield, J. P., et al. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1001976 · Cited by 199
Breakfast skipping and the risk of type 2 diabetes: a meta-analysis of observational studies
Bi, H., Gan, Y., Yang, C., Chen, Y., Tong, X., & Lu, Z. (2015) · Public Health Nutrition · doi:10.1017/s1368980015000257 · Cited by 196
Vitamin D concentration, obesity, and risk of diabetes: a mendelian randomisation study
Afzal, S., Brøndum-Jacobsen, P., Bojesen, S. E., & Nordestgaard, B. G. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70200-6 · Cited by 190
Ye, Z., Sharp, S. J., Burgess, S., Scott, R. A., Imamura, F., Langenberg, C., Wareham, N. J., & Forouhi, N. G. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70184-6 · Cited by 190
Nordestgaard, A. T., Thomsen, M., & Nordestgaard, B. G. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv083 · Cited by 189
Wu, H., Bertrand, K. A., Choi, A. L., Hu, F. B., Laden, F., Grandjean, P., & Sun, Q. (2012) · Environmental Health Perspectives · doi:10.1289/ehp.1205248 · Cited by 187
Corbin, L. J., Richmond, R. C., Wade, K. H., Burgess, S., Bowden, J., Smith, G. D., & Timpson, N. J. (2016) · Diabetes · doi:10.2337/db16-0418 · Cited by 184
Leermakers, E. T. M., Darweesh, S. K. L., Baena, C. P., Moreira, E. M., van Lent, D. M., Tielemans, M. J., Muka, T., Vitezova, A., Chowdhury, R., Bramer, W. M., et al. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.120931 · Cited by 175
Vancampfort, D., Mitchell, A. J., De Hert, M., Sienaert, P., Probst, M., Buys, R., & Stubbs, B. (2015) · Depression and Anxiety · doi:10.1002/da.22387 · Cited by 171
Psoriasis, psoriatic arthritis and type 2 diabetes mellitus: a systematic review and meta-analysis
Coto‐Segura, P., Eirís, N., González‐Lara, L., Queiró, R., Martínez‐Camblor, P., Maldonado-Seral, C., García-García, B., Palacios‐García, L., Gómez-Bernal, S., Santos‐Juanes, J., et al. (2013) · British Journal of Dermatology · doi:10.1111/bjd.12473 · Cited by 167
ON POWER AND SAMPLE SIZE FOR STUDYING FEATURES OF THE RELATIVE ODDS OF DISEASE
Lubin, J. H., & Gail, M. H. (1990) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115530 · Cited by 166
Holliday, E. G., Magee, C. A., Kritharides, L., Banks, E., & Attia, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0082305 · Cited by 166
Wang, B., Xu, D., Jing, Z., Liu, D., Yan, S., & Wang, Y. (2014) · European Journal of Endocrinology · doi:10.1530/eje-14-0365 · Cited by 166
Intake of Fruit Juice and Incidence of Type 2 Diabetes: A Systematic Review and Meta-Analysis
Xi, B., Li, S., Liu, Z., Tian, H., Yin, X., Huai, P., Tang, W., Zhou, D., & Steffen, L. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093471 · Cited by 161
Kunutsor, S. K., Apekey, T. A., Walley, J. D., & Kain, K. (2013) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2394 · Cited by 158
Personality and risk of diabetes in adults: Pooled analysis of 5 cohort studies.
Jokela, M. M., Elovainio, M. J., Nyberg, S. T., Tabák, Á. G., Hintsa, T., Batty, G. D., & Mika Kivimaki, B. (2013) · Health Psychology · doi:10.1037/hea0000003 · Cited by 154
Belbasis, L., Köhler, C. A., Stefanis, N. C., Stubbs, B., van Os, J., Vieta, E., Seeman, M. V., Arango, C., Carvalho, A. F., & Εvangelou, Ε. (2017) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12847 · Cited by 154
Self-citationEpidemiology of air pollution and diabetes
Thiering, E., & Heinrich, J. (2015) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2015.05.002 · Cited by 153
Kodama, S., Horikawa, C., Fujihara, K., Yoshizawa, S. M., Yachi, Y., Tanaka, S., Ohara, N., Matsunaga, S., Yamada, T., Hanyu, O., et al. (2013) · Obesity Reviews · doi:10.1111/obr.12129 · Cited by 149
Ioannidis, J. P. A. (2013) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2013.03.002 · Cited by 149
Which diet for prevention of type 2 diabetes? A meta-analysis of prospective studies
Esposito, K., Chiodini, P., Maiorino, M. I., Bellastella, G., Panagiotakos, D., & Giugliano, D. (2014) · Endocrine · doi:10.1007/s12020-014-0264-4 · Cited by 142
Spousal diabetes as a diabetes risk factor: A systematic review and meta-analysis
Leong, A., Rahme, E., & Dasgupta, K. (2014) · BMC Medicine · doi:10.1186/1741-7015-12-12 · Cited by 140
Preterm birth and risk of type 1 and type 2 diabetes: systematic review and meta‐analysis
Li, S., Zhang, M., Tian, H., Liu, Z., Yin, X., & Xi, B. (2014) · Obesity Reviews · doi:10.1111/obr.12214 · Cited by 131
Association between sugar‐sweetened beverages and type 2 diabetes: A meta‐analysis
Wang, M., Yu, M., Fang, L., & Hu, R. (2014) · Journal of Diabetes Investigation · doi:10.1111/jdi.12309 · Cited by 129
Jorde, R., Schirmer, H., Wilsgaard, T., Joakimsen, R. M., Mathiesen, E. B., Njølstad, I., Løchen, M., Figenschau, Y., Berg, J. P., Svartberg, J. B., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037295 · Cited by 123
Yaghootkar, H., Lamina, C., Scott, R. A., Dastani, Z., Hivert, M., Warren, L. L., Stančáková, A., Buxbaum, S. G., Lyytikäinen, L., Henneman, P., et al. (2013) · Diabetes · doi:10.2337/db13-0128 · Cited by 121
A Mendelian Randomization Study of Circulating Uric Acid and Type 2 Diabetes
Sluijs, I., Holmes, M. V., van der Schouw, Y. T., Beulens, J. W. J., Asselbergs, F. W., Huerta, J. M., Palmer, T., Arriola, L., Balkau, B., Barricarte, A., et al. (2015) · Diabetes · doi:10.2337/db14-0742 · Cited by 121
Yarmolinsky, J., Barbieri, N. B., Weinmann, T., Ziegelmann, P. K., Duncan, B. B., & Schmidt, M. I. (2016) · Scientific Reports · doi:10.1038/srep17714 · Cited by 119
Prevalence and Predictors of Type 2 Diabetes Mellitus in People With Bipolar Disorder
Vancampfort, D., Mitchell, A. J., Binder, M. D., Sienaert, P. A., Probst, M., Buys, R., & Stubbs, B. (2015) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.14r09635 · Cited by 115
Bergholdt, H. K. M., Nordestgaard, B. G., & Ellervik, C. (2015) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.114.105049 · Cited by 107
Wang, L., Cui, L., Wang, Y., Vaidya, A., Chen, S., Zhang, C., Zhu, Y., Li, D., Hu, F. B., Wu, S., et al. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv079 · Cited by 107
Kunutsor, S. K., Apekey, T. A., & Laukkanen, J. A. (2015) · European Journal of Epidemiology · doi:10.1007/s10654-015-0058-x · Cited by 107
Belbasis, L., Stefanaki, I., Stratigos, A., & Εvangelou, Ε. (2016) · Journal of Dermatological Science · doi:10.1016/j.jdermsci.2016.09.003 · Cited by 106
Self-citationSystematic review and meta-analysis of age at menarche and risk of type 2 diabetes
Janghorbani, M., Mansourian, M., & Hosseini, E. (2014) · Acta Diabetologica · doi:10.1007/s00592-014-0579-x · Cited by 105
Pfister, R., Barnes, D. R., Luben, R., Forouhi, N. G., Bochud, M., Khaw, K., Wareham, N. J., & Langenberg, C. (2011) · Diabetologia · doi:10.1007/s00125-011-2235-0 · Cited by 103
Jia, Z., Zhang, X., Kang, S., & Wu, Y. (2013) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.03.026 · Cited by 98
Components of the Metabolic Syndrome and Risk of Type 2 Diabetes
Marott, S. C. W., Nordestgaard, B. G., Tybjærg‐Hansen, A., & Benn, M. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-3777 · Cited by 98
Zaccardi, F., O’Donovan, G., Webb, D. R., Yates, T. E., Kurl, S., Khunti, K., Davies, M. J., & Laukkanen, J. A. (2015) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2015.09.016 · Cited by 97
Tea consumption and risk of type 2 diabetes mellitus: a systematic review and meta-analysis update
Yang, J., Mao, Q., Xu, H., Ma, X., & Zeng, C. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-005632 · Cited by 93
Peters, K. E., Beilby, J. P., Cadby, G., Warrington, N. M., Bruce, D. G., Davis, W. A., Davis, T. M. E., Wiltshire, S., Knuiman, M. W., McQuillan, B., et al. (2013) · BMC Medical Genetics · doi:10.1186/1471-2350-14-15 · Cited by 91
Egg consumption and risk of type 2 diabetes: a meta-analysis of prospective studies
Djoussé, L., Khawaja, O. A., & Gaziano, J. M. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.119933 · Cited by 86
Low birthweight and risk of type 2 diabetes: a Mendelian randomisation study
Wang, T., Huang, T., Li, Y., Zheng, Y., Manson, J. E., Hu, F. B., & Qi, L. (2016) · Diabetologia · doi:10.1007/s00125-016-4019-z · Cited by 85
Belbasis, L., Bellou, V., & Evangelou, E. (2016) · Neuroepidemiology · doi:10.1159/000443146 · Cited by 82
Self-citationAlhazmi, A., Stojanovski, E., McEvoy, M., & Garg, M. L. (2012) · Journal of the American College of Nutrition · doi:10.1080/07315724.2012.10720425 · Cited by 81
Aune, D., ó Hartaigh, B., & Vatten, L. J. (2015) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2015.02.008 · Cited by 73
Systolic Blood Pressure and Risk of Type 2 Diabetes: A Mendelian Randomization Study
Aikens, R. C., Zhao, W., Saleheen, D., Reilly, M. P., Epstein, S. E., Tikkanen, E., Salomaa, V. V., & Voight, B. F. (2016) · Diabetes · doi:10.2337/db16-0868 · Cited by 73
Leong, A., Rehman, W., Dastani, Z., Greenwood, C. M. T., Timpson, N. J., Langsetmo, L., Berger, C., METASTROKE, Fu, L., Wong, B. Y. L., et al. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001751 · Cited by 72
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Gan, W., Guan, Y., Wu, Q., An, P., Zhu, J., Lu, L., Li, J., Yu, Y., Ruan, S., Xie, D., et al. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.025684 · Cited by 68
Sabanayagam, C., Lye, W. K., Klein, R., Klein, B. E. K., Cotch, M. F., Wang, J. J., Mitchell, P. L. R., Shaw, J. E., Selvin, E., Sharrett, A. R., et al. (2015) · Diabetologia · doi:10.1007/s00125-015-3717-2 · Cited by 63
Leptin levels and risk of type 2 diabetes: gender‐specific meta‐analysis
Chen, G. ‐., Li, Q., & Ye, J. ‐. (2013) · Obesity Reviews · doi:10.1111/obr.12088 · Cited by 52
Ungprasert, P., Upala, S., Sanguankeo, A., & Warrington, K. J. (2015) · Modern Rheumatology · doi:10.3109/14397595.2015.1081722 · Cited by 45
Guo, K., Zhou, Z., Jiang, Y., Li, W., & Li, Y. (2014) · Journal of Diabetes · doi:10.1111/1753-0407.12173 · Cited by 43
Buijsse, B., Boeing, H., Hirche, F., Weikert, C., Schulze, M. B., Gottschald, M., Kuhn, T. E., Katzke, V. A., Teucher, B., Dierkes, J., et al. (2013) · European Journal of Epidemiology · doi:10.1007/s10654-013-9844-5 · Cited by 42
Tajima, R., Kodama, S., Hirata, M., Horikawa, C., Fujihara, K., Yachi, Y., Yoshizawa, S. M., Iida, K., & Sone, H. (2014) · Clinical Nutrition · doi:10.1016/j.clnu.2014.03.001 · Cited by 39
Lee, Y. S., Cho, Y., Burgess, S., Smith, G. D., Relton, C. L., Shin, S.-Y., & Shin, M. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw226 · Cited by 33
Serum calcium and incident diabetes: an observational study and meta-analysis
Sing, C., Cheng, V. K. F., Ho, D. K. C., Kung, A. W. C., Cheung, B. M. Y., Wong, I. C. K., Tan, K. C. B., Salas‐Salvadó, J., Becerra‐Tomás, N., & Cheung, C. (2015) · Osteoporosis International · doi:10.1007/s00198-015-3444-z · Cited by 29
Vitamin D intake and type 2 diabetes risk: a meta-analysis of prospective cohort studies
Zhao, L., Tian, X., Ge, J., & Xu, Y. (2014) · African Health Sciences · doi:10.4314/ahs.v13i4.38 · Cited by 25
Dietary calcium intake and risk of type 2 diabetes: possible confounding by magnesium
Dong, J.-Y., & Qin, L.-Q. (2012) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2012.5 · Cited by 24
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Metadata
- Authors
- Bellou, V., Belbasis, L., Tzoulaki, I., & Evangelou, E.
- Affiliations
- University of Ioannina (GR)
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2018-03-20
- Volume
- 13
- Issue
- 3
- Pages
- e0194127
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC5860745
- OpenAlex
- W2789317488
- Cited by
- 713
- References
- 136
- Citations by year
- 2026: 58 · 2025: 72 · 2024: 116 · 2023: 115 · 2022: 117 · 2021: 97 · 2020: 82 · 2019: 46 · 2018: 10
- FWCI
- 9.04
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Spiral (Imperial College London) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- type 2 diabetes, risk factors, non-genetic risk factors, adiposity, serum biomarkers, dietary habits, physical activity, sedentary behavior, alcohol consumption, smoking, air pollution, metabolic syndrome, gestational diabetes mellitus, preterm birth, educational attainment, conscientiousness, psychosocial factors, umbrella review of meta-analyses, Mendelian randomization
- MeSH terms
- Air Pollution, Diabetes Mellitus, Type 2, Diet, Humans, Life Style, Obesity, Risk Factors, Exercise
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