Zhiguang Ping1, Xiaoting Pei2, Peige Xia3, Yuansi Chen3, Rui Guo4, Chenxi Hu5, Mustapha Umar Imam6, Yanzi Chen2, Panpan Sun2, Li Liu7. 1. College of Public Health, Zhengzhou University, Zhengzhou 450001, China. Electronic address: ping_zhg@163.com. 2. College of Public Health, Zhengzhou University, Zhengzhou 450001, China. 3. Department of Clinical Medicine, Zhengzhou University, Zhengzhou 450001, China. 4. The Nursing College of Zhengzhou University, Zhengzhou 450001, China. 5. School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China. 6. Department of Medical Biochemistry, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodio University, Sokoto, Nigeria. 7. School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China. Electronic address: liulixh@zzu.edu.cn.
Abstract
AIM: To seek anthropometric indices that estimate visceral and subcutaneous adipose tissue (VAT and SAT) by meta-analysis and comparing the predictive efficacy based on different characteristics of participants. METHODS: PubMed, PubMed Central, Web of Science, China National Knowledge Infrastructure and Wanfang databases were searched for publications containing correlation coefficients of VAT and/or SAT with waist circumference (WC) and/or body mass index (BMI). The overall or subgroup pooled results were analyzed by meta and metafor packages of R with random effects model. MedCalc software was used to compare the correlation coefficients between groups. RESULTS: Twenty-nine publications were included in this meta-analysis. The correlation coefficients of VAT-WC, VAT-BMI, SAT-WC and SAT-BMI for total studies were between 0.640 and 0.785. The correlation of VAT with WC was larger than that with BMI (Z = 11.664, P < 0.001). Meanwhile, the correlation coefficients of VAT-WC were statistically different among different age groups, areas, ethnicities, body shapes, scanning levels, units and instruments of measuring VAT (P < 0.05). The overall correlation of SAT with BMI was larger than that with WC (Z = 3.805, P < 0.001). The subgroups' correlation coefficients of SAT-BMI showed statistical differences between genders, age groups, areas, ethnicities, body shapes, scanning levels, units (cm2 and cm3) and instruments of measuring SAT (P < 0.05). CONCLUSIONS: WC may be a common and simple surrogate for estimating VAT, and BMI for SAT, especially in Europeans, but not in the aged people.
AIM: To seek anthropometric indices that estimate visceral and subcutaneous adipose tissue (VAT and SAT) by meta-analysis and comparing the predictive efficacy based on different characteristics of participants. METHODS: PubMed, PubMed Central, Web of Science, China National Knowledge Infrastructure and Wanfang databases were searched for publications containing correlation coefficients of VAT and/or SAT with waist circumference (WC) and/or body mass index (BMI). The overall or subgroup pooled results were analyzed by meta and metafor packages of R with random effects model. MedCalc software was used to compare the correlation coefficients between groups. RESULTS: Twenty-nine publications were included in this meta-analysis. The correlation coefficients of VAT-WC, VAT-BMI, SAT-WC and SAT-BMI for total studies were between 0.640 and 0.785. The correlation of VAT with WC was larger than that with BMI (Z = 11.664, P < 0.001). Meanwhile, the correlation coefficients of VAT-WC were statistically different among different age groups, areas, ethnicities, body shapes, scanning levels, units and instruments of measuring VAT (P < 0.05). The overall correlation of SAT with BMI was larger than that with WC (Z = 3.805, P < 0.001). The subgroups' correlation coefficients of SAT-BMI showed statistical differences between genders, age groups, areas, ethnicities, body shapes, scanning levels, units (cm2 and cm3) and instruments of measuring SAT (P < 0.05). CONCLUSIONS: WC may be a common and simple surrogate for estimating VAT, and BMI for SAT, especially in Europeans, but not in the aged people.
Authors: Linda Nab; Maarten van Smeden; Renée de Mutsert; Frits R Rosendaal; Rolf H H Groenwold Journal: Am J Epidemiol Date: 2021-09-01 Impact factor: 5.363
Authors: Marie W Lundblad; Bjarne K Jacobsen; Jonas Johansson; Sameline Grimsgaard; Lene F Andersen; Laila A Hopstock Journal: Obes Sci Pract Date: 2021-05-03