Table 2 Demographic of the patients in the study
From: Association of diabetes and obesity with sperm parameters and testosterone levels: a meta-analysis
Study | Country | Population size (cases/controls) | Age, year (cases/controls) | BMI, kg/m2 (cases/controls) | Newcastle Ottawa |
|---|---|---|---|---|---|
Obesity | |||||
Oztekin, 2020 [2] | Turkey | 62/146 | 31.2 ± 5.5/30.2 ± 5.2 | 33.4 ± 2.9/22.6 ± 1.7 | 8 |
Salas-Huetos, 2020 (1) [32] | USA | 12/12 | 23.6 ± 0.3/23.5 ± 0.3 | 36.7 ± 2.3/20.4 ± 0.4 | 8 |
Salas-Huetos,A.2020 (2) [32] | USA | 12/12 | 30.5 ± 0.1/30.3 ± 0.1 | 34.2 ± 0.9/21.9 ± 0.5 | 8 |
Salas-Huetos 2020 (3) [32] | USA | 12/12 | 40.5 ± 0.4/40.8 ± 0.1 | 37.6 ± 2.0/23.2 ± 0.3 | 8 |
Pini, 2020 [33] | USA | 5/5 | 41.0 ± 2.1/38.2 ± 2.2 | 33.0 ± 0.6/23.9 ± 0.4 | 6 |
Abbasihormozi, 2019 [22] | Iran | 40/40 | 33 ± 0.97/33 ± 0.97 | 36 ± 0.80/23.3 ± 0.21 | 8 |
Chen, 2019 [34] | China | 28/143 | 37.25 ± 7.8/35.98 ± 8.92 |  | 7 |
Taha, 2019 [35] | Egypt | 96/92 | 35 ± 6.54/36.5 ± 7.1 | - | 7 |
Ferigolo, 2019 [36] | Brazil | 27/20 | - | 36.9 ± 8.22/23.2 ± 1.48 | 6 |
Calderón, 2019 [37] | Spain | 20/10 | 40 ± 8/34 ± 5 | 48 ± 9/24 ± 2 | 7 |
Qi, 2018 [38] | China | 27/28 | – | – | 5 |
Ramaraju, 2018 [39] | India | 201/437 | 35.2 ± 4.4/33.9 ± 4.7 | – | 8 |
Oliveira, 2017 [40] | Brazil | 598/370 | 38.0 ± 6.4/38.3 ± 7.0 | – | 7 |
Engin-Ustun, 2018 [17] | Turkey | 53/53 | 33.32 ± 6.64/32.21 ± 5.82 | – | 8 |
Wang, 2017 [41] | China | 298/1398 | 32.9 ± 1.8/32.1 ± 2.0 | – | 7 |
Luque, 2017 [42] | Argentina | 468/747 | 36.4 ± 0.2/34.9 ± 0.2 | 32.6 ± 0.1/23.6 ± 0.1 | 8 |
Keskin, 2017 [13] | Turkey | 56/165 | – | 33.09 ± 3.44/22.65 ± 1.69 | 6 |
Taha, 2016 [8] | Egypt | 25/81 | 38.5 ± 5.3/36.0 ± 4.7 | – 32.7 ± 2.5/21.7 ± 1.7 | 7 |
Alshahrani, 2016 [43] | Saudi Arabia | 185/75 | 37.37 ± 6.69/35.64 ± 6.56 | 34.88 ± 5.31/23.05 ± 1.34 | 7 |
Garolla, 2015 [44] | Italy | 20/20 | 37.5 ± 9.1/34.2 ± 8.6 | 35.8 ± 4.0/23.5 ± 5.0 | 8 |
Samavat, 2014 [45] | Italy | 23/25 | 39.6 ± 10.7/39.2 ± 6.2 | 44.3 ± 5.9/24.2 ± 1.0 | 8 |
Shuangyong, 2014 [46] | – | 59/58 |  | – | 3 |
Leisegang, 2014 [47] | South Africa | 23/19 | 37.9 ± 7.3/35.1 ± 5.9 | 35.8 ± 4.3/25.5 ± 2.4 | 8 |
Belloc, 2014 [48] | France | 634/5799 | 38.0 ± 7.3/36.4 ± 6.4 | – | 6 |
La Vignera, 2012 [49] | Italy | 50/50 | 31.5 ± 1.1/31.6 ± 1.7 | – | 8 |
Fariello, 2012 [50] | Brazil | 36/82 | 34.3 ± 4.9/33.5 ± 6.1 | – | 5 |
Rybar, 2011 [11] | Czech Republic | 16/74 | 32.5 ± 4.0/30.2 ± 5.9 | – | 6 |
Belloc, 2011 [51] | – | 400/3415 | – | – | 3 |
Shayeb, 2011 [52] | UK | 269/839 | 34.0 ± 5.8/32.4 ± 6.0 | – | 7 |
Paasch, 2010 [53] | Germany | 245/1003 | 34.3 ± 0.56/27.8 ± 0.26 | 32.7 ± 0.19/22.5 ± 0.04 | 8 |
Martini, 2010 [54] | Argentina | 155/251 | 36.0 ± 0.5/34.1 ± 0.4 | 33.2 ± 0.3/23.4 ± 0.1 | 7 |
Qin, 2007 [55] | China | 17/690 | 39.0 ± 9.9/38.4 ± 9.9 | 31.4 ± 1.6/22.2 ± 1.8 | 8 |
Diabetics | |||||
Imani, 2020 [56] | Iran | 30/30 | 33.5 ± 1.1/34.1 ± 1.5 | 25.51 ± 1.69/24.75 ± 1.15 | 7 |
Lu, 2017 [57] | China | 30/30 | Aged 21–49 years | – | 8 |
Ghasemi, 2016 [14] | Iran | 25/25 | Aged 22–46 years | – | 7 |
Singh, 2014 [58] | India | 25/25 | 47.8 ± 3.0/44.3 ± 2.3 | – | 5 |
Verit, 2014 [59] | Turkey | 40/40 | 31.2 ± 5.0/29.6 ± 5.0 | 25.6 ± 3.3/25.0 ± 3.3 | 8 |
Bhattacharya, 2014 [60] | India | 52/66 | 36.29 ± 5.29/34.92 ± 4.58 | 27.68 ± 3.88/27.57 ± 3.83 | 7 |
Rama Raju, 2012 [61] | India | 24/52 | – | – | 8 |
Karimi, 2012 [7] | Iran | 32/35 | 35.84 ± 8.89/32.58 ± 5.68 | – | 7 |
Agbaje, 2007 [4] | UK | 27/29 | 34.0 ± 2.0/32.7 ± 0.7 | – | 6 |
Baccetti, 2002 [12] | Italy | 22/24 | 38 ± 6/37 ± 5 | 26 ± 4/27 ± 3 | 8 |
Ali, 1993 (1) [62] | Japan | 100/100 | Mean 54 years | – | 6 |
Ali, 1993 (2) [62] | Japan | 314/100 | Mean 54 years | – | 6 |
GarcÃa-DÃez, 1991 [63] | Spain | 7/10 | – | – | 4 |
Murray, 1988 [64] | USA | 8/10 | 23 ± 0.8/26 ± 1.7 | 23.2 ± 1.50/22.4 ± 1.24 | 5 |
Padrón, 1984 [65] | Spain | 32/42 | Mean 18.6 years (range 17 to 22 years) | – | 4 |