Gharipour et al. 2014 55 Gharipour M, Sadeghi M, Dianatkhah M, Bidmeshgi S, Ahmadi A, Tahri M, et al. The Cut-Off Values of Anthropometric Indices for Identifying Subjects at Risk for Metabolic Syndrome in Iranian Elderly Men. J Obes. 2014;2014:1-6.
|
CC |
0,683 (0,606-0,761) |
94,5 cm |
64,0 |
68,0 |
|
|
|
|
RCQ |
0,645 (0,563-0,727) |
0,96 |
6,0 |
69,0 |
|
IMC |
0,641 (0,561-0,722) |
26,65 kg/m2
|
48,0 |
76,0 |
RCE |
0,680 (0,602-0,758) |
58,66 |
52,0 |
79,0 |
|
|
|
|
Liang et al. 2013 77 Liang H, Chen X, Chen Q, Wang Y, Wu X, Li Y, et al. The metabolic syndrome among postmenopausal women in rural canton: prevalence, associated factors, and the optimal obesity and atherogenic indices. PLoS One. 2013;8(9):e74121.
|
CC |
|
|
|
|
0,76 |
79,5 cm |
72,7 |
76,7 |
RCQ |
|
|
|
|
0,70 |
0,86 |
62,8 |
72,1 |
RCE |
|
|
|
|
0,74 |
0,53 |
67,6 |
72,9 |
IMC |
|
|
|
|
0,71 |
22,47 kg/m2
|
64,8 |
67,3 |
Yan et al. 2014 88 Yan Q, Sun D, Li X, Zheng Q, Li L, Gu C, et al. Neck circumference is a valuable tool for identifying metabolic syndrome and obesity in Chinese elder subjects: a community-based study. Diabetes Metab Res Rev. 2014;30(1):69-76.
|
CP |
0,76 |
> 38 cm |
80,0 |
55,0 |
0,73 |
> 35 cm |
75,0 |
67,0 |
Guasch-Ferré et al. 2012 99 Guasch-Ferré M, Bulló M, Martínez-González MÁ, Corella D, Estruch R, Covas M-I, et al. Waist-to-height ratio and cardiovascular risk factors in elderly individuals at high cardiovascular Rrsk. PLoS One .2012; 7(8):e43275.
|
RCE |
0,74 (0,72-0,75) |
|
|
|
|
|
|
|
CC |
0,72 (0,71-0,73) |
Resultados apresentados sem estratificação por sexo |
IMC |
0,69 (0,68-0,70) |
|
|
|
|
|
|
|
Chu et al. 2012 1111 Chu F-L, Hsu C-H, Jeng C. Low predictability of anthropometric indicators of obesity in metabolic syndrome (MS) risks among elderly women. Arch Gerontol Geriatr. 2012;55(3):718-23.
|
RCE |
|
|
|
|
0,66 (0,58-0,74) |
0,54 |
70 |
70 |
CC |
|
|
|
|
0,68 (0,60-0,76) |
82,4 cm |
75 |
69 |
RCQ |
|
|
|
|
0,63 (0,56-0,71) |
0,84 |
58 |
72 |
IMC |
|
|
|
|
0,58 (0,50-0,68) |
24,4 kg/m2
|
78 |
60 |
Gharipour et al. 2013 1212 Gharipour M, Sarrafzadegan N, Sadeghi M, Andalib E, Talaie M, Shafie D, et al. Predictors of metabolic syndrome in the iranian population: waist circumference, body mass index, or waist to hip ratio? Cholesterol. 2013;2013:198384.
|
CC |
0,78 (0,70-0,85) |
92,0cm |
81,4 |
55,8 |
|
|
|
|
RCQ |
0,76 (0,68-0,83) |
0,93 |
82,9 |
52,3 |
Resultados apresentados sem estratificação por sexo |
IMC |
0,77 (0,70-0,84) |
28,8 kg/m2
|
80,0 |
61,6 |
|
|
|
|
Zeng et al. 2014 1313 Zeng Q, He Y, Dong S, Zhao X, Chen Z, Song Z, et al. Optimal cut-off values of BMI, waist circumference and waist:height ratio for defining obesity in Chinese adults. Br J Nutr. 2014;112(10):1735-44.
|
IMC |
0,640 (0,648-0,666) 0,665 (0,654-0,675)
|
24,2 kg/m2
23,3 kg/m2
|
69,171,7 |
54,352,3 |
0,637 (0,624-0,650) 0,665 (0,648-0,682)
|
23,3 kg/m2 23,5 kg/m2
|
70,465,3 |
49,759,9 |
CC |
0,640 (0,631-0,654) 0,646 (0,636-0,657)
|
83,5 cm82,3 cm |
74,374,0 |
45,847,3 |
0,641 (0,628-0,645) 0,668 (0,651-0,685)
|
78,5 cm78,5 cm |
65,270,1 |
55,654,7 |
RCE |
0,645 (0,636-0,654) 0,651 (0,641-0,662)
|
0,520,50 |
62,371,9 |
58,450,2 |
0,640 (0,627-0,653)0,659 (0,642-0,676)
|
0,490,52 |
76,065,2 |
44,559,6 |
Zeng et al. 2014 1313 Zeng Q, He Y, Dong S, Zhao X, Chen Z, Song Z, et al. Optimal cut-off values of BMI, waist circumference and waist:height ratio for defining obesity in Chinese adults. Br J Nutr. 2014;112(10):1735-44.
|
IMC |
0,640 (0,648-0,666) 0,665 (0,654-0,675)
|
24,2 kg/m2
23,3 kg/m2
|
69,171,7 |
54,352,3 |
0,637 (0,624-0,650) 0,665 (0,648-0,682)
|
23,3 kg/m223,5 kg/m2
|
70,465,3 |
49,759,9 |
CC |
0,640 (0,631-0,654) 0,646 (0,636-0,657)
|
83,5 cm 82,3 cm |
74,374,0 |
45,847,3 |
0,641 (0,628-0,645) 0,668 (0,651-0,685)
|
78,5 cm 78,5 cm |
65,270,1 |
55,654,7 |
RCE |
0,645 (0,636-0,654) 0,651 (0,641-0,662)
|
0,520,50 |
62,371,9 |
58,450,2 |
0,640 (0,627-0,653) 0,659 (0,642-0,676)
|
0,490,52 |
76,065,2 |
44,559,6 |
Paula et al. 2012 1414 Paula HA A, Ribeiro RCL, Rosado LE, Abranches MV, Franceschini S C. Classic anthropometric and body composition indicators can predict risk of metabolic syndrome in the elderly. Ann Nutr Metab. 2012;60(4):264-71.
|
CC |
|
|
|
|
0,694 (0,600-0,777) |
92,0 cm |
80 |
58,2 |
IMC |
|
|
|
|
0,619 (0,523-0,708) |
25,4 kg/m2
|
66,7 |
55,1 |
RCQ |
|
|
|
|
0,752 (0,662-0,829) |
0,98 |
80 |
59,2 |
SP |
|
|
|
|
0,669 (0,574-0,726) |
108 mm |
66,7 |
64,3 |
Risérus et al. 2010 1616 Risérus U, de Faire U, Berglund L, Hellénius M-L. Sagittal abdominal diameter as a screening tool in clinical research: cut-offs for cardiometabolic risk. J Obes. 2010;Pii:757939.
|
DAS |
0,80 (0,77-0,82) |
22,2 cm |
|
|
0,77 (0,75-0,80) |
20,1 cm |
|
|
CC |
0,78 (0,75-0,80) |
100 cm |
|
|
0,77 (0,75-0,80) |
88,4 cm |
|
|
RCQ |
0,74 (0,71-0,77) |
0,97 |
|
|
0,76 (0,74-0,79) |
0,82 |
|
|
IMC |
0,78 (0,76-0,81) |
27,9 kg/m2
|
|
|
0,74 (0,72-0,77) |
27,6 kg/m2
|
|
|
Sharda et al. 2014 1717 Sharda M, Nagar D, Soni A. Sagittal abdominal diameter as a predictor of metabolic syndrome in the elderly. J Indian Acad Geriatr. 2014 Mar;10:5-9.
|
DAS |
|
> 22 cm |
88,0 |
83,0 |
|
> 20 cm |
87,0 |
80,0 |
Aoi et al. 2014 1818 Aoi S, Miyake T, Harada T, Ishizaki F, Ikeda H, Nitta Y, et al. Neck circumference has possibility as a predictor for metabolic syndrome in postmenopausal women. Hiroshima J Med Sci. 2014;63(4):27-32.
|
CP |
CP foi associada com IMC (r = 0,747, p < 0,0001), %GC (r = 0,715, p < 0,0001), TG (r = 0,276, p = 0,028), redução em HDLc (r = -0,401, p < 0,001) e HbA1c (r = 0,298, p = 0,019), HOMA-R e leptina (r = 0,488, p < 0,001), |
Limpawattana et al. 2016 1919 Limpawattana P, Manjavong M, Sopapong R. Can neck circumference predict metabolic syndrome? An experience from a university community. Endocr Pract. 2016;22(1):8-15.
|
CP |
0,84 (0,79-0,90) 0,71 (0,64-0,78)
|
> 39 cm
|
70,89 |
81,15 |
0,79 (0,75-0,84) 0,77(0,72-0,82)
|
> 33 cm
|
86,54 |
59,39 |
Hoebel et al. 2012 2020 Hoebel S, Malan L, de Ridder JH. Determining cut-off values for neck circumference as a measure of the metabolic syndrome amongst a South African cohort: the SABPA study. Endocrine. 2012;42(2):335-42.
|
CP |
0,70 (0,50-1,00) 0,70 (0,60-0,90)
|
> 35 cm> 41 cm
|
|
|
0,60 (0,40-0,80) 0,80 (0,70-0,90)
|
> 35 cm> 33 cm
|
|
|
Liu et al. 2013 2121 Liu P, Ma F, Lou H, Liu Y. The utility of fat mass index vs. body mass index and percentage of body fat in the screening of metabolic syndrome. BMC Public Health. 2013;13:629.
|
IMC |
0,904 (0,882-0,925) |
27,45 kg/m2
|
80,6 |
84,3 |
0,869 (0,869-0,928) |
23,85 kg/m2
|
92,7 |
72,9 |
GC |
0,883 (0,859-0,908) |
23,95% |
84,1 |
7,8 |
0,855 (0,818-0,892) |
31,35% |
77,1 |
81,4 |
IMG |
0,920 (0,900-0,940) |
7,00 kg/m2
|
80,2 |
86,9 |
0,898 (0,869-0,927) |
7,90 kg/m2
|
78,9 |
85,7 |