Table 1 Characteristics of included studies
Author/year published | Country | POI | Control | Outcome measurements | Matched variables | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
Number of cases | Age of cases | BMI | FSH | E2 | Number of controls | Age | BMI | ||||
AbdulAzeez 2018 [14] | Nigeria | 50 | 26.4 ± 5.2 | Not reported | 23.0 ± 15.0 | 101.8 ± 42.3 | 40 | 26.4 ± 5.4 | Not reported | TC, TG, HDL, LDL | Age |
Ağaçayak 2016 [15] | Turkey | 30 | 28.9 ± 6.8 | 24.1 ± 4.2 | 60 ± 20 | 17.0 ± 7.2 | 30 | 29.2 ± 5.0 | 23.2 ± 3.3 | FG, TC, TG | Age, ethnic |
Ates 2014 [16] | Turkey | 56 | 35.23 ± 4.58 | 25.79 ± 4.10 | 75.33 ± 39.73 | 47.44 ± 49.48 | 59 | 35.47 ± 4.49 | 26.09 ± 3.80 | WC, SBP, DBP, TC, TG, HDL, LDL, FG, INS | Age |
Bozkaya 2020 [17] | Turkey | 34 | 30.94 ± 5.58 | 25.90 ± 4.22 | 56.68 ± 28.84 | 32.32 ± 34.70 | 35 | 28.53 ± 5.09 | 24.47 ± 3.89 | SBP, DBP, FG, TC, TG, HDL, LDL |  |
Cekici 2021 [18] | Turkey | 66 | 32.5 ± 4.7 | 23.6 ± 4.3 | 75.1 ± 34.9 | 5.4 ± 1.4 | 73 | 31.0 ± 4.9 | 22.7 ± 5.3 | FG, TC, TG, HDL, LDL | Age |
Czyzyk 2017 [19] | Poland | 23 | 31 ± 7 | 24.37 ± 4.35 | 95.29 ± 48.36 | 29.26 ± 31.29 | 18 | 31 ± 3 | 24.44 ± 3.18 | INS, FG, TC, TG, HDL, LDL | Age, BMI |
Daan 2017 [20] | Netherland | 83 | 49.9 ± 4.7 | 25.1 ± 4.1 | NA | 5.01 [358.49] | 267 | 50.9 ± 3.1 | 26.9 ± 4.9 | WC, SBP, DBP, TC, HDL, LDL |  |
Goldmeier 2014 [21] | Brazil | 17 | 37 ± 9 | 26 ± 5 | 53.9 ± 24.15 | 17.7 ± 14.9 | 15 | 38 ± 9 | 26 ± 3 | WC, FG, TG, LDL, HDL, TC | Age |
Gulhan 2012 [22] | Turkey | 47 | 36.8 ± 1.8 | 25.9 ± 4.9 | 94.9 ± 36.4 | 27.9 ± 28.3 | 60 | 36.0 ± 2.3 | 24.8 ± 4.6 | TC, TG, HDL, LDL | Age |
Huang 2021 [23] | China | 303 | 34.78 ± 5.42 | 21.44 ± 2.75 | 73.23 (51.19 92.85) | 7.64 (5.00 28.10) | 303 | 34.68 ± 4.80 | 21.25 ± 2.92 | TC, TG, HDL, LDL, FG | Age |
Kalantaridou 2004 [24] | Greece | 18 | 35.4 ± 5.5 | 24.2 ± 3.1 | 78.9 ± 22.9 | 37 ± 24 | 20 | 35.0 ± 3.6 | 23.0 ± 2.6 | SBP, DBP, FG, TC, TG, HDL, LDL | Age, BMI |
Knauff 2008 [25] | Netherland | 90 | 33.8 ± 5.6 | 24.9 ± 4.3 | 79.5 ± 42.3 | 38.14 ± 41.41 | 198 | 30.3 ± 2.9 | 24.3 ± 4.8 | WC, TC, TG, HDL, LDL |  |
Kulaksizoglu 2013 [26] | Turkey | 43 | 36.83 ± 2.72 | 30.33 ± 5.59 | 48.55 ± 16.63 | 12.62 ± 9.13 | 33 | 37.15 ± 1.88 | 29.62 ± 3.48 | FG, INS, TC, TG, HDL, LDL |  |
Kunicki 2018 [27] | Poland | 98 | 31.48 ± 6.07 | 23.78 ± 3.563 | 69.71 ± 25.43 | 22.34 ± 31.69 | 78 | 27.78 ± 5.25 | 22.20 ± 2.94 | INS |  |
Luo 2018 [28] | China | 240 | 31.58 ± 6.83 | 21.11 ± 2.57 | 92.24 ± 33.76 | 20.46 ± 9.97 | 240 | 31.32 ± 6.62 | 20.90 ± 2.38 | WC | Age, BMI |
Podfigurna 2018 [29] | Poland | 56 | 30.7 ± 6.9 | 23.54 ± 4.55 | 97.57 ± 42.30 | 21.45 ± 43.07 | 68 | 27.3 ± 4.5 | 28.62 ± 5.30 | SBP, DBP, FG, INS, TC, TG, HDL, LDL | Age, weight |
Podfigurna 2020 [30] | Poland | 132 | 31.86 ± 7.75 | 23.68 ± 4.42 | 100.14 ± 36.93 | 13.43 ± 18.91 | 17 | 23.21 ± 5.86 | 20.71 ± 5.15 | FG, INS | Age, weight |
Szlendak-Sauer 2016 [31] | Poland | 98 | 30 ± 6.3 | 23.5 ± 2.8 | 73.9 ± 26.8 | 14.5 ± 8.4 | 75 | 29.4 ± 4 | 23.2 ± 2.5 | INS, FG |  |
Tunc 2017 [32] | Turkey | 30 | 28.9 ± 6.8 | 25.9 ± 4.1 | 60.09 ± 20.01 | 33.75 ± 39.70 | 30 | 29.2 ± 5.0 | 24.1 ± 4.2 | TC, TG, FG | Age, gravidity, BMI |
Xu 2019 [33] | China | 33 | Not reported | Not reported | 59.56 ± 32.67 | Not reported | 72 | Not reported | Not reported | TC |  |
Yorgun 2012 [34] | Turkey | 26 | 37.5 ± 10.1 | 26.0 ± 3.6 | 47.9 ± 17.5 | 25.0 ± 15.6 | 31 | 37.5 ± 9.0 | 23.3 ± 1.3 | SBP, DBP, TC, TG, LDL, HDL, FG | Age |