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Table 3 Characteristics of included studies

From: Neck circumference may be a valuable tool for screening individuals with obesity: findings from a young Chinese population and a meta-analysis

Author Year Country Age (years) Gender Diagnostic criteria n Cut-off points TP FP FN TN
Central obesity
 Zhang 2015 China ≥40 Male WC ≥ 85 cm 3891 36.8 cm 1728 426 604 1133
Female WC ≥ 80 cm 5849 32.3 cm 2564 665 1275 1345
 Ang 2011 Philippines 49.35 ± 11.26 Male WC ≥ 90 cm 227 40.0 cm 72 1 44 110
Female WC ≥ 80 cm 198 33.8 cm 73 13 35 77
 Aswathappa 2014 India 18–65 Male WC ≥ 90 cm 840 38.0 cm 259 78 99 404
Female WC ≥ 80 cm 511 34.0 cm 196 24 127 164
 Wang 2017 China 45–86 Male WC ≥ 85 cm 256 37.0 cm 106 14 35 101
Female WC ≥ 80 cm 542 32.7 cm 255 54 85 148
 Lin 2017 China ≥50 Male WC ≥ 90 cm 569 38.5 cm 170 50 56 293
Female WC ≥ 85 cm 904 33.4 cm 439 118 79 268
 Peia 2017 China 18-25 Male WC ≥ 85 cm 641 37.1 cm 66 144 20 411
Female WC ≥ 80 cm 528 32.6 cm 25 61 5 437
Overweight/obesity
 Kumar 2012 India ≥35 Male BMI ≥ 25 kg/m2 120 38.0 cm 9 17 2 92
Female BMI ≥ 25 kg/m2 82 34.7 cm 10 4 3 65
 Coelho 2016 Brazil ≥60 Male BMI ≥ 28 kg/m2 64 40.5 cm 26 23 4 11
Female BMI ≥ 28 kg/m2 371 35.7 cm 134 143 26 65
 Aswathappa 2014 India 18–65 Male BMI ≥ 23 kg/m2 840 36.0 cm 389 57 157 237
Female BMI ≥ 23 kg/m2 511 32.0 cm 215 56 121 119
 Ben-Noun 2016 Israel 35–65 Male BMI ≥ 25 kg/m2 352 37.0 cm 235 9 2 106
Female BMI ≥ 25 kg/m2 371 34.0 cm 255 0 3 113
 Yan 2014 China ≥65 Male BMI ≥ 25 kg/m2 971 38.0 cm 274 249 41 407
Female BMI ≥ 25 kg/m2 1121 35.0 cm 322 187 80 532
 Yang 2010 China 20–80 Male BMI ≥ 24 kg/m2 1294 38.0 cm 509 122 312 351
Female BMI ≥ 24 kg/m2 1888 35.0 cm 858 222 389 419
 Wang 2017 China 45–86 Male BMI ≥ 24 kg/m2 256 37.2 cm 98 32 28 98
Female BMI ≥ 24 kg/m2 542 33.2 cm 184 42 66 250
 Lin 2017 China ≥50 Male BMI ≥ 24 kg/m2 569 38.4 cm 211 42 69 247
Female BMI ≥ 24 kg/m2 904 33.7 cm 384 99 93 328
 Peia 2017 China 18-25 Male BMI ≥ 24 kg/m2 641 37.4 cm 83 124 34 400
Female BMI ≥ 24 kg/m2 528 32.2 cm 47 70 13 468
  1. TP true positive value, FP false positive value, TN true negative value, FN false negative value
  2. a our unpublished research; n: sample size of each study
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BMC Public Health

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