Copyright
©The Author(s) 2015.
World J Gastroenterol. Feb 7, 2015; 21(5): 1650-1662
Published online Feb 7, 2015. doi: 10.3748/wjg.v21.i5.1650
Published online Feb 7, 2015. doi: 10.3748/wjg.v21.i5.1650
Table 1 Baseline characteristics for studies included in meta-analysis
First author and year | Country | Case, n (M/W) | Control, n (M/W) | Design | Excluding1 | Cut-off | Adjusted factors | NOS |
High vs low category in waist circumference | ||||||||
Zelber-Sagi et al[27] | Israel | 66/32 | 108/120 | c-s | Hep B, C, DILI | 102/88 | 5 | 8 |
Park et al[28] | Korea | 62/84 | 118/86 | c-s | Hep B, C | 90/80 | 11 | 6 |
Choi et al[29] | Korea | 246/68 | 216/129 | c-s | Hep B, C | 90/80 | 7 | 6 |
Tsai et al[30] | Taiwan | 253/120 | 275/228 | c-s | None | 90/80 | 7 | 7 |
Kogiso et al[31] | Japan | 33/24 | 60/113 | c-s | Hep B, C | 85/90 | 10 | 7 |
Das et al[32] | India | 89/75 | 926/821 | n-c-c | Hep B, C, DILI | 90/80 | 6 | 8 |
Pinidiyapathirage et al[33] | Sri Lanka | 45/27 | 144/185 | c-s | Hep B, C | 90/80 | 4 | 8 |
High vs low category in waist-to-hip ratio | ||||||||
Kogiso et al[31] | Japan | 33/24 | 60/113 | c-s | Hep B, C | 0.845/0.845 | 10 | 7 |
Zheng et al[34] | China | 189/61 | 192/48 | c-c | Hep B, C | 0.900/0.850 | 8 | 7 |
Wengert et al[35] | Germany | 58/22 | 138/125 | c-s | Hep B, C | NR | 8 | 9 |
Per-unit increase in waist circumference | ||||||||
Yoon et al[36] | Korea | 11/27 | 15/38 | c-s | Other liver diseases | / | 3 | 7 |
Church et al[22] | USA | 24/0 | 218/0 | n-c-c | Other liver diseases | / | 3 | 7 |
Sung et al[37] | Korea | 7155/1867 | 10461/11757 | c-s | Hep B, C, DILI | / | 2 | 6 |
Seo et al[20] | Korea | 45/28 | 50/36 | c-c | Hep B, C, DILI | / | 12 | 8 |
Xu et al[38] | China | 139/88 | 416/235 | c-s | Other liver diseases | / | 7 | 7 |
Sathiaraj et al[39] | India | 77/21 | 75/27 | c-c | Hep B, C, DILI | / | 2 | 6 |
Zhou et al[40] | China | 211 | 513 | Cohort | Other liver diseases | / | 11 | 8 |
Eshraghian et al[21] | Iran | 127 | 705 | c-s | DILI, other liver diseases | / | 12 | 7 |
Cheah et al[41] | Malaysia | 17/17 | 19/24 | c-s | None | / | 9 | 8 |
Foster et al[42] | USA | 227/294 | 1144/1391 | c-s | DILI, other liver diseases | / | 9 | 7 |
Li et al[23] | China | 28/51 | 130/233 | Cohort | Other fatty liver | / | 17 | 8 |
Table 2 Subgroup and meta-regression analyses of waist circumference and the risk of nonalcoholic fatty liver disease
Covariates | Subgroup | Studies, n | OR(95%CI) | P of Q | I2 | Inter-groupP value | UnivariateP value | MultivariateP value |
Per-unit increase in waist circumference | ||||||||
Region | East | 9 | 1.076 (1.025-1.129) | 0.000 | 73.6 | 0.006 | 0.171 | 0.214 |
West | 2 | 1.031 (1.016-1.046) | 0.535 | 0.0 | ||||
Design | c-s | 8 | 1.063 (1.014-1.114) | 0.000 | 79.1 | 0.157 | 0.764 | 0.984 |
Others | 3 | 1.071 (1.026-1.119) | 0.254 | 26.9 | ||||
Adjusted | Yes | 7 | 1.051 (1.019-1.084) | 0.035 | 55.8 | 0.031 | 0.489 | 0.770 |
(> 3 confounders) | No | 4 | 1.126 (1.000-1.269) | 0.000 | 85.0 | |||
Individuals | Yes | 6 | 1.054 (1.025-1.083) | 0.055 | 56.7 | 0.163 | 0.728 | 0.975 |
(> 700) | No | 5 | 1.100 (0.991-1.22) | 0.000 | 81.5 | |||
High vs low category of waist circumference | ||||||||
Design | c-s | 5 | 2.113 (1.615-2.765) | 0.180 | 36.2 | 0.057 | 0.642 | 0.947 |
Others | 2 | 4.072 (2.189-7.575) | 0.512 | 0.0 | ||||
Individuals | Yes | 3 | 2.070 (1.546-2.774) | 0.245 | 28.9 | 0.122 | 0.635 | 0.942 |
(> 600) | No | 4 | 3.185 (2.010-5.046) | 0.164 | 41.2 |
Table 3 Further analyses after adding several studies
Covariates | Subgroup | n of studies | OR(95%CI) | P of Q | I2 | Inter-studyP value | UnivariateP value | MultivariateP value |
Per-unit increase in waist circumference | ||||||||
Region | East | 15 | 1.089 (1.057-1.122) | 0.000 | 94.1 | 0.001 | 0.180 | 0.145 |
West | 5 | 1.040 (1.028-1.052) | 0.149 | 40.8 | ||||
Design | c-s | 14 | 1.067 (1.042-1.193) | 0.000 | 94.6 | 0.010 | 0.734 | 0.968 |
Others | 6 | 1.076 (1.049-1.103) | 0.140 | 39.8 | ||||
Adjusted | Yes | 11 | 1.059 (1.038-1.081) | 0.000 | 82.9 | 0.806 | 0.393 | / |
(> 3 factors) | No | 9 | 1.101 (1.055-1149) | 0.000 | 95.9 | |||
Adjusting for BMI | Yes | 14 | 1.064 (1.040-1.089) | 0.000 | 84.8 | 0.000 | 0.649 | 0.918 |
No | 6 | 1.086 (1.046-1.127) | 0.000 | 95.3 | ||||
Excluding ALD | Yes | 16 | 1.079 (1.051-1.107) | 0.000 | 90.0 | 0.000 | 0.603 | 0.869 |
No | 4 | 1.056 (1.022-1.093) | 0.000 | 93.8 | ||||
High vs low category of waist circumference | ||||||||
Region | East | 11 | 2.687 (2.018-3.579) | 0.000 | 74.4 | 0.000 | 0.545 | 0.934 |
West | 5 | 3.098 (2.005-4.785) | 0.000 | 83.3 | ||||
Design | c-s | 12 | 2.471 (1.958-3.119) | 0.000 | 72.3 | 0.000 | 0.015 | 0.078 |
Other | 4 | 5.212 (2.121-12.807) | 0.858 | 0.0 | ||||
Adjusted | Yes | 10 | 3.002 (2.268-3.973) | 0.000 | 73.1 | 0.000 | 0.459 | / |
(> 3 factors) | No | 6 | 2.840 (2.184-3.691) | 0.000 | 75.2 | |||
Adjusting for BMI | Yes | 10 | 2.492 (1.898-3.271) | 0.002 | 65.8 | 0.000 | 0.221 | 0.591 |
No | 6 | 3.281 (2.308-4.664) | 0.000 | 79.5 | ||||
Excluding ALD | Yes | 12 | 2.856 (2.115-3.855) | 0.000 | 74.9 | 0.000 | 0.910 | 1.000 |
No | 4 | 2.794 (1.716-4.549) | 0.000 | 89.5 |
Table 4 Summary estimates by fixed- vs random-effects methods
OR (95%CI) | ||
Fixed-effects | Random-effects | |
Categorical variable | ||
WC | 2.344 (1.831-3.000) | 2.550 (1.799-3.615) |
WHR | 3.910 (2.255-6.780) | 4.061 (1.529-10.790) |
BMI | 2.183 (1.582-3.013) | 2.854 (1.604-5.080) |
WC1 | 2.844 (2.082-3.885) | 3.139 (2.067-4.767) |
Per-unit increase | ||
WC | 1.043 (1.031-1.055) | 1.065 (1.029-1.103) |
BMI | 1.121 (1.093-1.150) | 1.250 (1.131-1.382) |
- Citation: Pang Q, Zhang JY, Song SD, Qu K, Xu XS, Liu SS, Liu C. Central obesity and nonalcoholic fatty liver disease risk after adjusting for body mass index. World J Gastroenterol 2015; 21(5): 1650-1662
- URL: https://www.wjgnet.com/1007-9327/full/v21/i5/1650.htm
- DOI: https://dx.doi.org/10.3748/wjg.v21.i5.1650