UNASSIGNED: Excess fat in the abdomen can be classified generally as visceral and subcutaneous @entity1386 . Evidence suggests that visceral @entity1386 has greater implications for @entity6 than other fat depots. The purpose of this study is to explore the disparities in the distribution of @entity1625 in @entity6 /prediabetic and nondiabetic populations and to identify moderators that influence the pattern of central @entity28 via a meta-analysis technique. The Hedges' g was used as a measure of effect size and 95% confidence interval was computed. A total of 41 relevant studies with 101 effect sizes were retrieved. Pooled effect sizes for visceral and subcutaneous @entity1386 were 0.69 and 0.42, respectively. @entity6 /prediabetic populations exhibited greater visceral and subcutaneous @entity1386 compared to nondiabetic populations (Z = 10.35, P < 0.05). Significant moderator effects of gender (Z = -2.90) and assessment method of @entity1625 (Z = -2.17) were found for visceral fat (P < 0.05), but not for subcutaneous fat. Type of health condition influenced both visceral (Z = -5.10) and subcutaneous (Z = -7.09) @entity1625 volumes (P < 0.05). Abdominal @entity1386 distributions were significantly altered in the @entity6 /prediabetic population compared to the nondiabetic population. Gender, assessment method of @entity1625 , and type of health conditions ( @entity6 /prediabetics) were identified as crucial moderators that influence the degree of @entity1625 .

Abdominal Adiposity Distribution in XXXX /Prediabetic and Nondiabetic Populations: A Meta-Analysis.

@entity28 :: ('MESH:D009765', 'Disease') :: ['obesity'] @entity1625 :: ('MESH:D004828', 'Disease') :: ['abdominal adiposity'] @entity1386 :: ('MESH:D018205', 'Disease') :: ['adiposity'] @entity6 :: ('MESH:D003920', 'Disease') :: ['Diabetic', 'diabetic', 'diabetes']
@entity6 :: (MESH:D003920,Disease) :: ['Diabetic']
