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Yuanyuan Lin, Speaker at Weight Management Conferences
Beijing University of Chinese Medicine, China

Abstract:

Background: Evidence on the associations between iron status biomarkers and both overweight/obesity prevalence and body mass index (BMI) is limited.

Methods: This cross-sectional analysis utilized data from 5454 participants in the NHANES 2003-2006 and 2017-2020 cycles. Overweight and obesity were defined as BMI ≥25 kg/m² and ≥30 kg/m², respectively. Weighted multivariable logistic and liner regression models were employed to assess associations between iron biomarkers, dietary iron intake, and overweight/obesity risk or BMI. Restricted cubic splines (RCS) were utilized to explore potential non-linear patterns. Furthermore, subgroup analyses stratified by categorical covariates were conducted.

Results: Following adjustment for confounding variables, weighted logistic regression identified reduced odds of overweight/obesity with higher dietary iron intake (OR = 0.98, P = 0.026), serum iron (SI; OR = 0.98, P= 0.004), and transferrin saturation (TSAT; OR = 0.98, P = 0.003). Weighted multivariable linear regression demonstrated inverse associations of dietary iron intake (β = −0.06, P = 0.045), SI (β = −0.02, P < 0.001), and TSAT (β = −0.09, P < 0.001) with BMI. Total iron-binding capacity (TIBC) exhibited a positive association with overweight/obesity risk and BMI. RCS analysis revealed nonlinear dose-response relationships between SI, TSAT, TIBC, and overweight/obesity risk. Stratified analyses indicated a stronger positive association between TSAT and overweight/obesity risk in females.

Conclusions: Elevated dietary iron intake, serum iron, and TSAT inversely associated with overweight/obesity risk, highlighting the potential protective role of adequate iron status in preventing obesity.

Keywords: Iron, Obesity, Overweight, National Health and Nutrition Examination Survey (NHANES), Transferrin saturation, cross-sectional study.

Biography:

Ms. Lin is a postgraduate student majoring in Internal Medicine of Traditional Chinese Medicine at Beijing University of Chinese Medicine. Dedicated to the research on the prevention and treatment of metabolic diseases with traditional Chinese medicine, Lin has been delving into the theoretical and practical aspects of this field under the guidance of Dr. Zhao from Dongzhimen Hospital. During the study, Lin actively participates in academic seminars and research projects. She has published 1 research articles in SCI (E) journals.

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