Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018
ObjectiveThe relationship between body composition and insulin resistance (IR) is controversial. This study aimed to thoroughly examine the correlation between adipose tissue, lean body mass, and IR as evaluated by the Homeostatic Model Assessment (HOMA-IR).MethodsIn this cross-sectional study, we u...
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Frontiers Media S.A.
2023-09-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2023.1232896/full |
| _version_ | 1797687175115964416 |
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| author | Ya Shao Longti Li Huiqin Zhong Xiaojun Wang Yu Hua Xu Zhou |
| author_facet | Ya Shao Longti Li Huiqin Zhong Xiaojun Wang Yu Hua Xu Zhou |
| author_sort | Ya Shao |
| collection | DOAJ |
| description | ObjectiveThe relationship between body composition and insulin resistance (IR) is controversial. This study aimed to thoroughly examine the correlation between adipose tissue, lean body mass, and IR as evaluated by the Homeostatic Model Assessment (HOMA-IR).MethodsIn this cross-sectional study, we utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. Our study included 4981 subjects, and we employed multiple linear regression, smoothed curve fitting, threshold, and saturation effect analysis to investigate the relationship between lean body mass, visceral fat mass, and IR. Also, we used the lean body mass to visceral fat ratio (Log LM/VFM) as a proxy variable to analyze its association with IR alone.ResultsThe study discovered a negative link between lean body mass and IR, but the visceral fat mass was positively correlated after correcting for covariates. A negative correlation was observed when the alternative variable Log LM/VFM was analyzed separately for its association with IR. This association was present regardless of whether the exposure variables were analyzed as continuous or categorical. The data analysis revealed a nonlinear relationship between Log LM/VFM and IR, as evidenced by the generalized additive model. In addition, a threshold effect with a critical value of 1.80 and a saturation effect with a critical point of 2.5 were also observed. Further subgroup analysis for sex, age, BMI, active levels, hypertension, and diabetes showed considerable robustness between the relationship of Log LM/VFM and IR.ConclusionMaintaining a proper ratio of lean body mass and visceral fat is beneficial for decreasing IR. |
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| issn | 1664-2392 |
| language | English |
| last_indexed | 2024-03-12T01:14:28Z |
| publishDate | 2023-09-01 |
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| series | Frontiers in Endocrinology |
| spelling | doaj.art-2f0f94976b8145c78cd9a10f20ee2c8c2023-09-13T16:34:36ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922023-09-011410.3389/fendo.2023.12328961232896Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018Ya Shao0Longti Li1Huiqin Zhong2Xiaojun Wang3Yu Hua4Xu Zhou5Department of Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, ChinaDepartment of Nursing, TaiHe Hospital, Hubei University of Medicine, Shiyan, ChinaDepartment of Gastroenterology, TaiHe Hospital, Hubei University of Medicine, Shiyan, ChinaDepartment of Gastroenterology, TaiHe Hospital, Hubei University of Medicine, Shiyan, ChinaDepartment of Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, ChinaDepartment of Health Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, ChinaObjectiveThe relationship between body composition and insulin resistance (IR) is controversial. This study aimed to thoroughly examine the correlation between adipose tissue, lean body mass, and IR as evaluated by the Homeostatic Model Assessment (HOMA-IR).MethodsIn this cross-sectional study, we utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. Our study included 4981 subjects, and we employed multiple linear regression, smoothed curve fitting, threshold, and saturation effect analysis to investigate the relationship between lean body mass, visceral fat mass, and IR. Also, we used the lean body mass to visceral fat ratio (Log LM/VFM) as a proxy variable to analyze its association with IR alone.ResultsThe study discovered a negative link between lean body mass and IR, but the visceral fat mass was positively correlated after correcting for covariates. A negative correlation was observed when the alternative variable Log LM/VFM was analyzed separately for its association with IR. This association was present regardless of whether the exposure variables were analyzed as continuous or categorical. The data analysis revealed a nonlinear relationship between Log LM/VFM and IR, as evidenced by the generalized additive model. In addition, a threshold effect with a critical value of 1.80 and a saturation effect with a critical point of 2.5 were also observed. Further subgroup analysis for sex, age, BMI, active levels, hypertension, and diabetes showed considerable robustness between the relationship of Log LM/VFM and IR.ConclusionMaintaining a proper ratio of lean body mass and visceral fat is beneficial for decreasing IR.https://www.frontiersin.org/articles/10.3389/fendo.2023.1232896/fullinsulin resistancelean body massNHANESvisceral fat massHOMA-IR |
| spellingShingle | Ya Shao Longti Li Huiqin Zhong Xiaojun Wang Yu Hua Xu Zhou Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018 Frontiers in Endocrinology insulin resistance lean body mass NHANES visceral fat mass HOMA-IR |
| title | Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018 |
| title_full | Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018 |
| title_fullStr | Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018 |
| title_full_unstemmed | Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018 |
| title_short | Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018 |
| title_sort | anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance nhanes 2011 2018 |
| topic | insulin resistance lean body mass NHANES visceral fat mass HOMA-IR |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2023.1232896/full |
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