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. 2020 Apr 10;117(15):253–260. doi: 10.3238/arztebl.2020.0253

Table 2. Summary of the BMI categorization results.

Study Continent n Prevalence (%) [95% CI]
Accurate classification Underestimation Overestimation
Harris (2016) America 118 16.1 [9; 23] 83.9 [77; 91] 0
Kirk (2008)*2 Australia*1 102 26.5 [18; 35]
Baur (2012) America 768 32.0 [29; 35] 68.0 [65; 71] 0
Phetla (2017) Africa 210 33.3 [27; 40] 60.5 [56; 65] 6.2 [4; 9]
Duncan (2014) Africa 466 34.1 [30; 38] 63.3 [60; 66] 2.6 [2; 4]
Irani (2007) America 356 34.4 [29; 39] 56.8 [53; 60] 8.8 [7; 11]
Moore (2010) America 323 35.6 [30; 41] 61.6 [58; 62] 2.8 [2; 4]
Akgoz (2017) Asia 300 36.3 [31; 42] 57 [51; 63] 6.7 [4; 10]
Faber (2005) Africa 187 36.9 [30; 44] 63.1 [56; 70] 0
Colchero (2014) America 32 052 38.0 [38; 39] 57.8 [57; 58] 4.2 [4.0; 4.3]
Mogre (2014) Africa 200 42 (35; 49] 45 [40; 50] 13 [10; 16]
Minsky (2013) America 586 42.8 [39; 47] 51.2 [48; 54] 6.0 [5; 7]
Loret de Mola (2012) America 983 43 [40; 46] 53.8 [52; 56] 3.2 [2; 4]
Gao (2017) Asia 10 177 43.4 [42; 44] 53.8 [53; 54] 2.8 [2.6; 3.0]
Muhihi (2012) Africa 209 46.4 [40; 53] 49.3 [43; 56] 4.3 [2; 6]
Akindele (2017) Africa 567 46.4 [43; 51] 53.6 [32; 76] 0
Ver Ploeg (2008) America 623 49.4 [48; 51] 45.0 [44; 46] 5.6 [5; 6]
Mueller (2014)*2 America 507 49.5 [45; 54]
Monteagudo (2015) Europe 1282 50.3 [48; 53] 48 [46; 50] 1.7 [1.2; 2.2]
Barzuca (2013)*2 Europe 110 55.5 [46; 65]
Howard (2008) Australia*1 2382 55.5 [54; 57] 36.9 [35; 38] 7.6 [6.9; 8.4]
DeVille-Almond (2011) Europe 263 55.9 [50; 62] 40.3 [34; 46] 3.8 [1; 6]
Akinpelu (2015) Africa 567 56.8 [50; 64] 35 [30; 40] 8.2 [5; 11]
Jauregui (2016) Europe 71 57.8 [46; 69] 8.5 [3; 14] 33.8 [26; 42]
Kim (2018) Asia 16 559 59.9 [59; 61] 23.5 [23; 24] 16.8 [16.4; 17.2]
Wang (2017) America 623 59.9 [56; 64] 24.2 [12; 36] 15.9 [14; 18]
Sinhababu (2007)*2 Asia 176 61.4 [53; 68]
Barichella (2011)*2 Europe 914 61.5 [58; 65]
Drumond (2012) America 3622 63.1 [62; 64] 31.6 [31; 33] 5.3 [4.7; 5.8]
Shin (2015) Asia 33 704 63.8 [63; 64] 19.6 [19; 20] 16.6 [16.3; 16.9]
Peltzer (2012) Africa 289 65.1 [59; 71] 20.4 [17; 14] 14.5 [12; 17]
Jeffs (2016) Australia*1 638 66.5 [63; 70] 31.0 [27; 35] 2.5 [1; 4]
El-Kassas (2016)*2 Asia 369 66.9 [62; 72]
Caleyachetty (2016)*2 Africa 5736 67.2 [66; 68]
Prinsloo (2011) Africa 301 68.4 [63; 74] 23.6 [19; 28] 8.0 [5; 11]
Veggi (2004) America 3498 68.6 [67; 70] 16.0 [15; 17] 15.4 [14.8; 16.1]
Murillo (2016) America 7992 70.1 [69; 71]
Dorosty (2014) Asia 542 70.1 [66; 74] 7.8 [5; 10] 22.1 [20; 25]
Herbert (2017) Australia*1 7947 70.7 [70; 72] 25.5 [25; 26] 3.8 [3.5; 4.1]
Van Minnen (2011) Australia*1 1272 72.2 [70; 75] 25.7 [24; 27] 2.1 [1.6; 2.7]
Blokstra (1998) Europe 4601 74.1 [73; 75] 16.1 [15; 17] 9.8 [9.6; 10.0]
Rouiller (2016) Europe 4786 74.2 [73; 75] 19.1 [18; 20] 6.8 [6.3; 7.3]
Johnston (2014) Europe 9089 75 [74; 76] 25 [24; 26] 0
Griger (2015) Europe 6886 75.8 [75; 77] 12.9 [12; 13] 11.3 [10.7; 11.8]
Mogre (2015) Africa 368 79.4 [75; 83] 16.3 [14; 19] 4.3 [3; 6]
Rahman (2010) America 2224 80.4 [79; 82] 12 [11; 13] 7.6 [7; 9]
Maruf (2012) Africa 120 80.8 [74; 88] 16.7 [12; 21] 2.5 [1; 4]
Agrawal (2014) Asia 322 82.6 [78; 87] 11.8 [8; 15] 5.6 [3; 8]
Strassnig (2005) America 143 83.2 [77; 89] 14 [10; 18] 2.8 [2.2; 3.4]
Hendley (2011) America 429 48.8 [15; 82]

*1 Australia and Polynesia

*2 no differentiated information about over- and underestimation provided

CI, confidence interval; n, number of participants