The lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders: a cross-sectional study
Abstract The literature has documented conflicting and inconsistent associations between muscle-to-fat ratios and metabolic diseases. Additionally, different adipose tissues can have contrasting effects, with visceral adipose tissue being identified as particularly harmful. This study aimed to explo...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-88167-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832571771499315200 |
|---|---|
| author | Ya Shao Na Wang Meiling Shao Bin Liu Yu Wang Yan Yang Longti Li Huiqin Zhong |
| author_facet | Ya Shao Na Wang Meiling Shao Bin Liu Yu Wang Yan Yang Longti Li Huiqin Zhong |
| author_sort | Ya Shao |
| collection | DOAJ |
| description | Abstract The literature has documented conflicting and inconsistent associations between muscle-to-fat ratios and metabolic diseases. Additionally, different adipose tissues can have contrasting effects, with visceral adipose tissue being identified as particularly harmful. This study aimed to explore the relationship between the ratio of the lean mass index (LMI) to the visceral fat mass index (VFMI) and cardiometabolic disorders, including dyslipidemia, hypertension, and diabetes, as previous research on this topic is lacking. This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted in the United States and included 10,867 individuals. Logistic regression was employed to explore the association between LMI/VFMI and cardiometabolic disorders. Generalized additive models were utilized to examine the nonlinear relationships between variables. Data analysis revealed a consistent inverse association between ln(LMI/VFMI) and dyslipidemia, hypertension, and diabetes. Each 2.7-fold increase in LMI/VFMI (one unit of ln[LMI/VFMI]) was associated with lower odds ratios (ORs) for these conditions. In men, the ORs were 0.21 (95% CI 0.17–0.25) for dyslipidemia, 0.37 (95% CI 0.30–0.45) for hypertension, and 0.16 (95% CI 0.10–0.23) for diabetes. Similarly, in women, the ORs were 0.22 (95% CI 0.19–0.26), 0.51 (95% CI 0.42–0.61), and 0.19 (95% CI 0.13–0.27). Quartile analysis showed that participants in the highest quartile (Q4) had significantly lower ORs compared to those in the lowest quartile (Q1). In men, Q4 ORs were 0.18 (95% CI 0.14–0.23) for dyslipidemia, 0.30 (95% CI 0.23–0.39) for hypertension, and 0.11 (95% CI 0.06–0.20) for diabetes. In women, Q4 ORs were 0.12 (95% CI 0.10–0.15), 0.39 (95% CI 0.29–0.52), and 0.12 (95% CI 0.06–0.25), respectively. Dyslipidemia and diabetes demonstrated nonlinear patterns, while a linear association was found for hypertension. Subgroup analyses across various characteristics confirmed these findings with no substantial directional changes. Maintaining an appropriate ratio of LMI to VFMI may be associated with favorable metabolic health. |
| format | Article |
| id | doaj-art-1077743e78d84483a6adc140b4e6bca5 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-1077743e78d84483a6adc140b4e6bca52025-02-02T12:19:43ZengNature PortfolioScientific Reports2045-23222025-01-0115111110.1038/s41598-025-88167-1The lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders: a cross-sectional studyYa Shao0Na Wang1Meiling Shao2Bin Liu3Yu Wang4Yan Yang5Longti Li6Huiqin Zhong7Health Management Center, TaiHe Hospital, Hubei University of MedicineInnovation Centre of Nursing Research, TaiHe Hospital, Hubei University of MedicineDepartment of Pharmacy, TaiHe Hospital, Hubei University of MedicineDepartment of Pharmacy, TaiHe Hospital, Hubei University of MedicineHealth Management Center, TaiHe Hospital, Hubei University of MedicineDepartment of General Surgery, TaiHe Hospital, Hubei University of MedicineInnovation Centre of Nursing Research, TaiHe Hospital, Hubei University of MedicineInnovation Centre of Nursing Research, TaiHe Hospital, Hubei University of MedicineAbstract The literature has documented conflicting and inconsistent associations between muscle-to-fat ratios and metabolic diseases. Additionally, different adipose tissues can have contrasting effects, with visceral adipose tissue being identified as particularly harmful. This study aimed to explore the relationship between the ratio of the lean mass index (LMI) to the visceral fat mass index (VFMI) and cardiometabolic disorders, including dyslipidemia, hypertension, and diabetes, as previous research on this topic is lacking. This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted in the United States and included 10,867 individuals. Logistic regression was employed to explore the association between LMI/VFMI and cardiometabolic disorders. Generalized additive models were utilized to examine the nonlinear relationships between variables. Data analysis revealed a consistent inverse association between ln(LMI/VFMI) and dyslipidemia, hypertension, and diabetes. Each 2.7-fold increase in LMI/VFMI (one unit of ln[LMI/VFMI]) was associated with lower odds ratios (ORs) for these conditions. In men, the ORs were 0.21 (95% CI 0.17–0.25) for dyslipidemia, 0.37 (95% CI 0.30–0.45) for hypertension, and 0.16 (95% CI 0.10–0.23) for diabetes. Similarly, in women, the ORs were 0.22 (95% CI 0.19–0.26), 0.51 (95% CI 0.42–0.61), and 0.19 (95% CI 0.13–0.27). Quartile analysis showed that participants in the highest quartile (Q4) had significantly lower ORs compared to those in the lowest quartile (Q1). In men, Q4 ORs were 0.18 (95% CI 0.14–0.23) for dyslipidemia, 0.30 (95% CI 0.23–0.39) for hypertension, and 0.11 (95% CI 0.06–0.20) for diabetes. In women, Q4 ORs were 0.12 (95% CI 0.10–0.15), 0.39 (95% CI 0.29–0.52), and 0.12 (95% CI 0.06–0.25), respectively. Dyslipidemia and diabetes demonstrated nonlinear patterns, while a linear association was found for hypertension. Subgroup analyses across various characteristics confirmed these findings with no substantial directional changes. Maintaining an appropriate ratio of LMI to VFMI may be associated with favorable metabolic health.https://doi.org/10.1038/s41598-025-88167-1Cardiometabolic disordersDyslipidemiaDiabetesHypertensionLean body massVisceral fat mass |
| spellingShingle | Ya Shao Na Wang Meiling Shao Bin Liu Yu Wang Yan Yang Longti Li Huiqin Zhong The lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders: a cross-sectional study Scientific Reports Cardiometabolic disorders Dyslipidemia Diabetes Hypertension Lean body mass Visceral fat mass |
| title | The lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders: a cross-sectional study |
| title_full | The lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders: a cross-sectional study |
| title_fullStr | The lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders: a cross-sectional study |
| title_full_unstemmed | The lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders: a cross-sectional study |
| title_short | The lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders: a cross-sectional study |
| title_sort | lean body mass to visceral fat mass ratio is negatively associated with cardiometabolic disorders a cross sectional study |
| topic | Cardiometabolic disorders Dyslipidemia Diabetes Hypertension Lean body mass Visceral fat mass |
| url | https://doi.org/10.1038/s41598-025-88167-1 |
| work_keys_str_mv | AT yashao theleanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT nawang theleanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT meilingshao theleanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT binliu theleanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT yuwang theleanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT yanyang theleanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT longtili theleanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT huiqinzhong theleanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT yashao leanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT nawang leanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT meilingshao leanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT binliu leanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT yuwang leanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT yanyang leanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT longtili leanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy AT huiqinzhong leanbodymasstovisceralfatmassratioisnegativelyassociatedwithcardiometabolicdisordersacrosssectionalstudy |