Research Article
Factors Associated with Gestational Diabetes Mellitus: A Meta-Analysis
Table 1
Baseline characteristics of the included studies.
| Author | Year | Country | Study design | Maternal age (years) | Sample sizes | GDM cases | Quality scores |
| Wagaarachchi | 2001 | Sri Lanka | Case-control | — | 1004 | 41 | 5 | Weijers | 2002 | Amsterdam | Case-control | | 561 | 71 | 5 | Yang | 2002 | China | Case-control | | 9886 | 177 | 4 | Dempsey | 2004 | USA | Case-control | — | 541 | 155 | 6 | Ozumba | 2004 | Nigeria | Case-control | — | 400 | 200 | 5 | Zhang | 2004 | China | Case-control | — | 327 | 67 | 6 | Hadaegh | 2005 | Iran | Case-control | — | 700 | 62 | 6 | Janghorbani | 2006 | UK | Case-control | — | 3933 | 65 | 4 | Wijeyaratne | 2006 | Sri Lanka | Case-control | — | 442 | 274 | 5 | Mamabolo | 2007 | South Africa | Case-control | | 262 | 23 | 4 | Qiu | 2007 | USA | Case-control | | 201 | 105 | 5 | Cypryk | 2008 | Poland | Case-control | — | 1670 | 510 | 4 | Hedderson | 2008 | USA | Case-control | — | 1323 | 381 | 6 | Hedderson | 2008 | USA | Case-control | — | 455 | 251 | 6 | Murgia | 2008 | Italy | Case-control | | 1103 | 247 | 5 | Bhat | 2010 | India | Case-control | | 600 | 300 | 4 | Harizopoulou | 2010 | Greece | Cross-sectional | | 160 | 40 | 5 | Hedderson | 2010 | USA | Case-control | — | 1134 | 341 | 5 | Ogonowski | 2010 | Poland | Case-control | | 2425 | 1414 | 6 | Kuti | 2011 | Nigeria | Case-control | — | 765 | 106 | 4 | Morisset | 2011 | Canada | Case-control | | 294 | 55 | 5 | Qiu | 2011 | USA | Case-control | | 596 | 185 | 5 | Anzaku | 2013 | Nigeria | Cross-sectional | | 253 | 21 | 5 | Jao | 2013 | Cameroon | Cross-sectional | 30.5 (27.5-34.5) | 316 | 20 | 4 | Khan | 2013 | Pakistan | Case-control | | 200 | 103 | 5 | Fawole | 2014 | Ibadan | Cross-sectional | — | 1086 | 35 | 12 | Kirke | 2014 | Australia | Case-control | | 1636 | 73 | 4 | Mwanri | 2014 | Tanzania | Cross-sectional | — | 910 | 54 | 14 | Padmanabhan | 2014 | Australia | Case-control | 33.0 (29.0-36.0) | 682 | 343 | 4 | Rajput | 2014 | India | Case-control | | 913 | 127 | 6 | Tabatabaei | 2014 | Canada | Case-control | | 96 | 48 | 4 | Bibi | 2015 | Pakistan | Cross-sectional | — | 190 | 50 | 11 | Erem | 2015 | Turkey | Cross-sectional | | 815 | 39 | 15 | Olagbuji | 2015 | Nigeria | Cohort | — | 1059 | 91 | 5 | Oppong | 2015 | Ghana | Cross-sectional | — | 399 | 37 | 14 | Robledo | 2015 | USA | Cohort | — | 649952 | 11334 | 5 | Singh | 2015 | India | Case-control | | 102 | 51 | 5 | Bowers | 2016 | Danish | Case-control | | 699 | 350 | 4 | Mohan | 2016 | India | Case-control | — | 201 | 32 | 4 | Nasiri-Amiri | 2016 | Iran | Case-control | — | 200 | 100 | 6 | Tomic | 2016 | Bosnia and Herzegovina | Cross-sectional | — | 285 | 31 | 13 | Abdelmola | 2017 | Saudi Arabia | Cross-sectional | — | 36 | 36 | 14 | Anand | 2017 | Canada | Case-control | | 1006 | 365 | 6 | Collier | 2017 | UK | Case-control | — | 47290 | 973 | 4 | Farina | 2017 | Italy | Case-control | 33.5 (24-40) | 72 | 12 | 6 | Liu | 2017 | China | Case-control | | 600 | 300 | 6 | Mapira | 2017 | Rwanda | Cross-sectional | — | 288 | 24 | 5 | Oriji | 2017 | Nigeria | Case-control | — | 235 | 35 | 5 | Rawal | 2017 | USA | Case-control | | 321 | 107 | 5 | Sedaghat | 2017 | Iran | Case-control | | 388 | 122 | 6 | Sugiyama | 2017 | Palau | Case-control | — | 1730 | 95 | 5 | Bartakova | 2018 | Czech | Case-control | 33 (29-36) | 363 | 293 | 4 | Egbe | 2018 | Cameroon | Cross-sectional | — | 200 | 41 | 13 | Feleke | 2018 | Ethiopia | Case-control | — | 2257 | 567 | 5 | Larrabure-Torrealva | 2018 | America | Cross-sectional | | 1300 | 205 | 15 | Macaulay | 2018 | South Africa | Cohort | 31 (27-36) | 741 | 83 | 7 | Macaulay | 2018 | South Africa | Cross-sectional | 31 (27-36) | 1900 | 174 | 15 | Mak | 2018 | China | Cohort | | 1337 | 199 | 6 | Nhidza | 2018 | Zimbabwe | Cross-sectional | — | 150 | 10 | 5 | Wu | 2018 | China | Case-control | | 4959 | 1080 | 6 | Xiao | 2018 | China | Case-control | 32 (29-34) | 1585 | 599 | 5 | Zaman | 2018 | Iran | Cross-sectional | | 520 | 260 | 16 | Abualhamael | 2019 | Saudi Arabia | Case-control | | 196 | 103 | 7 | Agah | 2019 | Iran | Cross-sectional | — | 609 | 28 | 14 | Asadi | 2019 | Iran | Case-control | | 278 | 130 | 6 | Chakkalakal | 2019 | Tennessee | Case-control | | 89 | 40 | 4 | Chen | 2019 | China | Case-control | — | 9556 | 1464 | 4 | Chen | 2019 | China | Case-control | | 249 | 123 | 5 | Hrolfsdottir | 2019 | Iceland | Cohort | | 1651 | 264 | 6 | Hu | 2019 | China | Cohort | — | 1014 | 238 | 5 | Huo | 2019 | China | Case-control | | 486 | 243 | 7 | Ijas | 2019 | Finland | Cohort | — | 24577 | 5680 | 5 | Kouhkan | 2019 | Iran | Case-control | | 270 | 135 | 6 | Li | 2019 | China | Case-control | | 496 | 248 | 4 | Mak | 2019 | China | Cohort | | 1449 | 229 | 6 | Muche | 2019 | Ethiopia | Cross-sectional | — | 1027 | 131 | 12 | Olmedo-Requena | 2019 | Spain | Cross-sectional | | 1466 | 291 | 16 | Rajasekar | 2019 | Vellore | Cross-sectional | | 225 | 75 | 16 | Rajput | 2019 | India | Case-control | | 100 | 50 | 7 | Telejko | 2019 | Poland | Cohort | 31 (27-35) | 1508 | 397 | 7 | Wan (China) | 2019 | China | Case-control | | 3419 | 398 | 5 | Wan (Australia) | 2019 | Australia | Case-control | | 28594 | 1181 | 5 | Wang | 2019 | China | Case-control | | 1552 | 776 | 7 | Yan | 2019 | China | Cohort | | 78572 | 13846 | 7 | Yen | 2019 | China | Cohort | — | 527 | 74 | 5 | Zahra | 2019 | Pakistan | Case-control | — | 200 | 103 | 5 | Zhang | 2019 | China | Cohort | 29.0 (27-32) | 2093 | 241 | 5 | Zhu | 2019 | China | Case-control | | 3110 | 399 | 5 | Zhu | 2019 | China | Case-control | | 3289 | 429 | 5 | Aburezq | 2020 | Kuwait | Cross-sectional | | 653 | 92 | 15 | Alsaedi | 2020 | Saudi Arabia | Case-control | | 347 | 279 | 5 | Bar-Zeev | 2020 | Ohio | Case-control | — | 222408 | 12897 | 5 | Basu | 2020 | India | Case-control | | 715 | 127 | 6 | Dos Santos | 2020 | Brazil | Cross-sectional | — | 2284 | 126 | 14 | Francis | 2020 | USA | Case-control | | 321 | 107 | 7 | Ganapathy | 2020 | India | Case-control | | 140 | 70 | 6 | Giles | 2020 | Australia | Cross-sectional | — | 671227 | 54805 | 12 | Kong | 2020 | China | Cohort | | 1441 | 114 | 6 | Lan | 2020 | China | Cohort | | 1910 | 620 | 6 | Li | 2020 | China | Case-control | | 610 | 305 | 5 | Mishra | 2020 | India | Case-control | — | 373 | 100 | 5 | Rayis | 2020 | Saudi Arabia | Case-control | 30 (25-34) | 259 | 48 | 4 | Siddiqui | 2020 | Saudi Arabia | Cross-sectional | | 218 | 53 | 16 | Yong | 2020 | The Netherlands | Cohort | | 452 | 48 | 5 |
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GDM: gestational diabetes mellitus.
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