LETM-Domain Containing 1 (LETMD1) Enhances Energy Expenditure in Human Beige Adipocytes

in Asian women (26.50) and Asian men (27.32).These differences may be influenced by unmeasured confounders like occupational types, dietary habits, and physiology.Groups at higher risk of BMI increase under overworking ( >60 hours) include Asian American men (1.08), Asian American women (1.30), multiracial men (1.33), multiracial women (0.93), and White women (1.03).Conclusions: Due to computational constraints, we reduced the training set size, which affected model precision and increased sensitivity to outliers.BMI, developed using data from primarily white men, lacks accuracy across different racial, ethnic, and gender groups.It also fails to account for fat distribution and muscle mass, misclassifying muscular individuals as overweight.

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Publication Details

Journal
Current Developments in Nutrition
Published
2025-05-01
DOI
https://doi.org/10.1016/j.cdnut.2025.107265
Primary Topic
Adipose Tissue and Metabolism
Type
article
Field-Weighted Citation Impact
0.00
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article

LETM-Domain Containing 1 (LETMD1) Enhances Energy Expenditure in Human Beige Adipocytes

Xiaoyan Hui, Donghai Wu, Jiaxin Liu, Wei Sun et al.
Current Developments in Nutrition
Adipose Tissue and Metabolism
article

LETM-Domain Containing 1 (LETMD1) Enhances Energy Expenditure in Human Beige Adipocytes

Xiaoyan Hui, Donghai Wu, Jiaxin Liu, Wei Sun, Shiqing Liang
article en

Abstract

in Asian women (26.50) and Asian men (27.32).These differences may be influenced by unmeasured confounders like occupational types, dietary habits, and physiology.Groups at higher risk of BMI increase under overworking ( >60 hours) include Asian American men (1.08), Asian American women (1.30), multiracial men (1.33), multiracial women (0.93), and White women (1.03).Conclusions: Due to computational constraints, we reduced the training set size, which affected model precision and increased sensitivity to outliers.BMI, developed using data from primarily white men, lacks accuracy across different racial, ethnic, and gender groups.It also fails to account for fat distribution and muscle mass, misclassifying muscular individuals as overweight.

Current Developments in NutritionVol. 9
Chinese University of Hong Kong (HK), Guangzhou Institutes of Biomedicine and Health (CN)
Affordable and clean energy
Openalex Percentile: Top 84%
Adipose Tissue and Metabolism
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LETM-Domain Containing 1 (LETMD1) Enhances Energy Expenditure in Human Beige Adipocytes — Xiaoyan Hui, Donghai Wu, et al. · Current Developments in Nutrition (2025) | TGRS Research Map | TGRS