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Table 4 Qualitative description of metabolic syndrome subcomponents prevalence within included studies

From: Prevalence of metabolic syndrome among HIV-positive and HIV-negative populations in sub-Saharan Africa—a systematic review and meta-analysis

Author and publication year Hypertension Diabetes Visceral obesity High triglycerides Low HDL cholesterol
HIV+ HIV− HIV+ HIV− HIV+ HIV− HIV+ HIV− HIV+ HIV−
1 Amusa et al., 2016 [33] 46.0% P < 0.01 5/50 (10.0%) P < 0.01 42/150 (28.0%) P < 0.01 2/50 (4.0%) P < 0.01 48/150 (32.0%) P 0.79 15/50 (30%) P 0.79 (P = 0.79) NP NP NP NP
2 Ayodele et al., 2012 [32] 82 (28.2%), P = 0.146 NP 54 (18.6%) P = 0.600 NP 56 (19.2%) P < 0.001 NP 38 (13.1%) P = 0.880 NP 159 (54.6) P = 0.013 NP
3 Berhane et al., 2012 [34] 110/313 (35.1%) NP 78/313 (24.9%)   43/313 (13.7%)   83/31 (26.5%)    NP
4 Tesfaye et al., 2014 [42] SBP = 39/374
DBP = 33/374
NP 103 NP NP NP 154 NP 248 NP
5 Sobieszczyk et al., 2016 [29] NP NP (0.7 to 1.9%) P = 0.346   33.5 to 44.3% (P = 0.060)   9.4 to 13.3%,
P = 0.112
  56.6 to 61.0%, P = 0.283  
6 Obirikorang et al., 2016 [41] NP NP NP NP NP NP NP NP NP NP
7 Ngatchou et al., 2013 [40] NP NP 26%
P < 0.01
1%
P < 0.01
NP NP NP NP NP NP
8 Fourie et al., 2010 [35] 50.0% P = 0.03 59.0% P = 0.03 ATP III
22.7% P = 0.49
IDF
36.6% P = 0.08
ATP III
25.1% P = 0.49
IDF
43.7% P = 0.08
ATP III
Male—0.9% P = 0.32
Female—18.3%
P = 0.93
IDF
Male—2.6% P = 0.31
Female—33.9% P - 0.22 (P = 0.22)
ATP III
Male—0.0%
P - 0.32 (P = 0.32)
Female—18.7% P - 0.93 (P = 0.93)
IDF
Male—0.9%
P - 0.31 (P = 0.31)
Female—40.1% P - 0.22 (P = 0.22)
ATP III
18.2% P = 0.19
IDF
14.3% P = 0.19
ATP III
17.6% P = 0.28
IDF
14.3% P = 0.28
ATP III
Male—47.4%, Female—62.6%
P < 0.0001
IDF
Male—46.5%
P < 0.0001
Female—62.6%
P < 0.0001
ATP III
Male—12.1%
P < 0.0001
Female—33.7% P < 0.0001
IDF
Male—11.2% P < 0.0001
Female—33.7% P < 0.0001
9 Muhammad et al., 2013 [45] 9.5 (P < 0.001). NP 3 (P = 1.0) NP NP NP 16   68.5%  
10 Mbunkah et al., 2014 [38] 24.7% NP NP NP NP NP NP NP NP NP
11 Guehi et al., 2016 [30] 37 (4.9%) NP 4 (0.5%) NP 128 (17.0%) NP 128 (17.0%) NP NP NP
12 Mashinya et al., 2015 [37] 56 (26.2%) NP 10 (4.7%) NP NP NP Male = 35.0 vs female = 12.5%, P = 0.001)   91 (43.8%)  
13 Guira et al., 2016 [31] 36 (66.7%) NP 16 (29.6%)     27 (50%)   37 (68.5%)  
14 Hirigo et al., 2016 [36] 18/185
P = 0.84
NP IDF criteria 58 (31.3%) NP NP NP NP NP NP NP
15 Zannou et al., 2009 [28] 29 (42.6)   6 (7.6%)   24 (33.3%) NP 10 (14.1%) NP NP NP
16 Muyanja et al., 2016 [39] 13 (5.2%) P = 0.46 NP NP NP NP NP 74 (29.6%) 0.76 NP 214 (85.6%) 0.16 NP
17 Adébayo et al., 2015 [44]* 60 (24.6%) 5 (10%), P < 0.01 5 (2.04%) 2 (4.0%) NP NP 44 (18.0%)
Male—12 (12.6%)
Female—26 (13.3%)
NP NP NP
18 Sawadogo et al., 2005 [43]* NP NP 1.3%, CI (0.5–3.0) NP NP NP NP NP NP NP
  1. *French publication