Meng Lv
Biographic Data
| ID | 7066290 |
|---|---|
| NAME | Meng Lv |
| GIVEN NAMES | Meng |
| FAMILY NAME | Lv |
| SIGNATURE | LV M |
| AFFILIATIONS | Shanxi University |
| ORCID | 0000-0002-0201-6722 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Validation of measurement of body composition by dual-energy X-ray absorptiometry and bioelectrical impedance analysis and body composition’s profiling in Tibetan’s adults
Objective: We aimed to validate in-body bioelectrical impedance analysis (BIA) measures with dual-energy X-ray absorptiometry (DXA) as reference and describe the body composition (BC) profiling of Tibetan adults. Design: This cross-sectional study included 855 participants (391 men and 464 women). Correlation and Bland–Altman analyses were performed for method agreement of in-body BIA and DXA. BC were described by obesity and metabolic status. Se…
Temporary teams
A combination of cecum microbiome and metabolome in Cums depressed rats reveals the antidepressant mechanism of traditional Chinese medicines
Deciphering the compatibility rules of traditional Chinese medicine prescriptions based on NMR metabolomics
No prominent works on this page.
Deciphering the compatibility rules of traditional Chinese medicine prescriptions based on NMR metabolomics
Temporary teams
A combination of cecum microbiome and metabolome in Cums depressed rats reveals the antidepressant mechanism of traditional Chinese medicines
Validation of measurement of body composition by dual-energy X-ray absorptiometry and bioelectrical impedance analysis and body composition’s profiling in Tibetan’s adults
Objective: We aimed to validate in-body bioelectrical impedance analysis (BIA) measures with dual-energy X-ray absorptiometry (DXA) as reference and describe the body composition (BC) profiling of Tibetan adults. Design: This cross-sectional study included 855 participants (391 men and 464 women). Correlation and Bland–Altman analyses were performed for method agreement of in-body BIA and DXA. BC were described by obesity and metabolic status. Se…
Medicine (3 works) · Bioinformatics (2 works) · Biology (2 works) · Engineering (2 works) · Internal Medicine (2 works) · Pharmacology (2 works) · Traditional medicine (2 works) · Alternative medicine (1 work) · Anthropometry (1 work) · Antidepressant (1 work)