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. 2023 Jan 3;20(1):875. doi: 10.3390/ijerph20010875

Table 1.

Characteristics of included studies. * Not included in the meta-analysis for prevalence.

Study Country Study Design Characteristics of Population Myopia Type of
n Age, Years Sex,% men Children/
Adolescent
Adults Occupation Prevalence Progression Risks Near-Work
Adams 1992 [26] England Cross-sectional 251 29.7 35.8 X Microscopist X X Diopter-hour
Alomair 2021 [27] Saudi Arabia Cross-sectional 850 10.5 55.9 X X X unspecified
Alsaif 2019 [28] Saudi Arabia Cross-sectional 338 unknown 48 X University student X X unspecified
Atowa 2020 [29] Nigeria Cross-sectional 1197 11.5 45 X X X Read, computer, video games, TV
Basso 2006 [30] Italy Cross-sectional 209 39.2 53 X Administrative workers X X X VDT
Berhane 2022 [31] Ethiopia Cross-sectional 484 22.81 63.4 X University student X X Reading, computer
Bez 2019 [32] Israel Cross-sectional 22,823 17.7 100 X X X unspecified
Chiang 2020 [33] USA Cross-sectional 6571 15.39 50.98 X X X TV, computer
Czepita 2010 [19] Poland Cross-sectional 5865 11.9 48 X X X Reading, computer, TV
Demir 2021 [79] Sweden Cross-sectional 128 12 45.3 X X unspecified
Deng 2010 [35] USA Prospective 147 12 54.4 X X X Reading, TV, computer
Donovan 2012 [36] China Cross-sectional 85 10.3 51 X * X unspecified
Edwards 1999 [37] China Prospective 123 7 57 X X X VDT
Enthoven 2020 [38] Netherland Cross-sectional 8563 7 unknown X X X computer, reading
Enthoven 2021 [39] Netherland Cross-sectional 525 13.7 46 X X smartphone
Fernandez-Montero 2015 [40] Spain Prospective 6963 38.5 31 X University student X X X Computer
French 2013 [41] Australia Prospective 4118 16 50 X X X Diopter-hour
Giloyan 2017 [42] Armenia Cross-sectional 1092 12.95 46.6 X X X unspecified
Guo 2013 [44] China Cross-sectional 681 12.95 unknown X * X Reading, computer
Guo 2016 [43] China Cross-sectional 3055 13.60 52 X X X computer, reading
Guo 2017 [45] China Prospective 382 6.30 unknown X X X X Reading, TV, computer
Han 2019 [46] Korea Cross-sectional 3398 36.3 54.5 X unknown X X Unspecified
Hansen 2020 [47] Denmark Cross-sectional 1443 16.6 45 X X X Electronic device
Hinterlong 2019 [48] Taiwan Cross-sectional 3686 11.2 52 X X X unspecified
Holton 2021 [49] Taiwan Cross-sectional 6200 11.2 53 X X X unspecified
Hsu 2017 [34] Taiwan Prospective 3526 7.49 56 X * X X computer, unspecified
Huang 2019 [50] China Cross-sectional 968 19.6 66 X University student X X Computer, electronic device,
Huang 2020 [51] Taiwan Prospective 10,743 10 52.73 X X X X unspecified
Hung 2020 [96] Vietnam Cross-sectional 1987 14 50.3 X X X Read, computer, TV
Ip 2008 [70] Australia Cross-sectional 2339 12.7 unknown X X X reading
Jacobsen 2008 [52] Denmark Prospective 143 23.1 unknown X Medical student X X unspecified
Jones 2007 [53] USA Prospective 514 8 unknown X X TV, computer, reading, diopter-hour
Jones-Jordan 2011 [14] USA Prospective 1318 10 48 X X TV, computer, reading
Jones-Jordan 2012 [54] USA Prospective 835 10.4 43 X * X unspecified
Khader 2006 [55] Jordan Cross-sectional 1777 14.5 61 X X X reading, TV, Computer
Kim 2020 [56] Korea Cross-sectional 938 12.2 51.4 X X X unspecified
Kinge 2000 [97] Norway Prospective 192 20.6 48 X University student * X X reading
Konstantopoulos 2008 [57] Greece Cross-sectional 200 21 100 Military conscript X Computer, reading, TV
Ku 2019 [58] Taiwan Prospective 1956 unknown 49.5 X X X X Computer, reading
Lam 1999 [59] China Prospective 142 11.38 47 X X X unspecified
Lanca 2022 [60] China Cross-sectional 12241 9 52 X X X TV, reading,
Lee 2013 [15] Taiwan Cross-sectional 5048 21.4 100 X Military conscript X TV, reading, computer
Lee 2017 [61] China Prospective 23,114 unknown 52 X X X Reading, TV, computer
Li 2015 [62] China Cross-sectional 1770 12.7 48 X X Reading, computer, TV, electronic device
Lin 2014 [63] China Cross-sectional 370 unknown 47 X X Reading, computer, TV
Lin 2016 [64] China Cross-sectional 836 10.5 52 X X X unspecified
Lin 2016 [95] China Prospective 222 10.9 48.2 X X X X Indoor activities
Lin 2017 [65] China Cross-sectional 572 10.6 49 X X X Reading, TV
Liu 2021 [66] China Cross-sectional 3831 unknown 51.5 X X X Digital screen time
Loman 2002 [67] USA Cross-sectional 177 27 58 X University student X X Non specified
Lu 2009 [68] China Cross-sectional 998 14.6 44 X X X Reading, TV
Ma et al. 2018 [69] China Prospective 1639 8.1 51.5 X X X X reading
Mavrakanas 2000 [71] Greece Cross-sectional 1738 unknown unknown X X Reading
McBrien 1997 [72] England Prospective 251 29.7 36 X microscopist X X Microscopy use
McCrann 2021 [73] Ireland Cross-sectional 402 16.7 45 X X X Electric device
Muhamedagic 2014 [74] Bosnia Prospective 100 21.89 39 X University student * X Tv, computer, reading, diopter-hours
Mutti 2002 [75] USA Cross-sectional 366 13.7 55 X X X Reading, TV, computer
Onal 2007 [76] Turkey Prospective 207 20.3 55 X Medical student X X unspecified
Pärssinen 2014 [13] Finland Prospective 240 10.9 50 X X X X Reading, TV
Pärssinen 2022 [77] Finland Cross-sectional 13,649 11 14.5 X X X Reading
Patel 2019 [78] India Cross-sectional 248 17.8 55 X X Medical student X Tv, computer, electronic device, reading
Qi 2019 [80] China Prospective 522 15.5 100 X X X Reading
Rose 2008 [81] Australia Cross-sectional 1735 9.7 51 X X TV, computer, Indoor activity
Saw 1999 [82] Singapore Prospective 405 9.5 unknown X * Indoor activity
Saw 2001 [83] China Cross-sectional 429 21 100 X military conscript X X Indoor activity
Saw 2002 [84] Singapore Cross-sectional 1962 8 50 X X X Indoor activity, reading
Speeg-Schatz 2001 [85] France Prospective 814 unknown 24 X administrative worker X Diopter-hours
Sun 2018 [86] China Cross-sectional 4890 12.5 51.7 X X X unspecified
Tsai 2016 [98] Taiwan Cross-sectional 11,590 unknown 53 X X X Read, TV
Wong 1993 [2] China Cross-sectional 408 27 55 X fisherman X TV, reading
Woodman 2011 [87] Australia Prospective 40 23.4 unknown X University student X X unspecified
Wu 2010 [89] Taiwan Cross-sectional 145 9 52 X X X indoor activities, computer, reading
Wu 2015 [88] China Cross-sectional 4677 16.9 47 X X University student X X Reading
Yang 2018 [90] Canada Cross-sectional 166 9.6 50 X X unspecified
Yao 2019 [91] China Prospective 800 15 100 X * X X reading
Yotsokura 2020 [92] Brazil Cross-sectional 421 10.6 unknown X X unspecified
You 2016 [93] China Prospective 4129 8.11 54 X * X X Reading, TV, indoor activities
Zadnik 2015 [94] USA Cross-sectional 4512 9.2 50 X X unspecified