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Associations of Gain in Weight-Related Anthropometric Indices with a Marker of Lipid Peroxidation: A Cohort Study Among Urban Adults in China

BACKGROUND: Obesity is reported to be associated with oxidative stress which can cause lipid peroxidation. However, the effects of gain in various weight-related anthropometric indices on lipid peroxidation remain unclear. We aimed to examine the cross-sectional and longitudinal associations between...

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Detalles Bibliográficos
Autores principales: Xu, Tao, Wang, Bin, Cao, Limin, Qiu, Weihong, Zhang, Zhuang, Chen, Ailian, Chen, Weihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443444/
https://www.ncbi.nlm.nih.gov/pubmed/32884314
http://dx.doi.org/10.2147/DMSO.S259194
Descripción
Sumario:BACKGROUND: Obesity is reported to be associated with oxidative stress which can cause lipid peroxidation. However, the effects of gain in various weight-related anthropometric indices on lipid peroxidation remain unclear. We aimed to examine the cross-sectional and longitudinal associations between altered weight-related anthropometric indices and a marker of lipid peroxidation among urban adults in China. METHODS: A total of 3762 participants from the Wuhan-Zhuhai cohort were included in the present study, with a follow-up of 3 years. Six weight-related anthropometric indicators were measured and calculated, including waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), a body shape index (ABSI), and body adiposity index (BAI). Individual urinary 8-iso-prostaglandin-F(2α) (8-iso-PGF(2α)) was determined via enzyme-linked immunosorbent assay to evaluate lipid peroxidation. We used generalized linear models to analyze the cross-sectional and longitudinal associations of weight-related anthropometric indices with a marker of lipid peroxidation and stratified analyses to estimate effect modification. RESULTS: We found significant relationships between WHR, WHtR, ABSI, and urinary 8-iso-PGF(2α) at baseline. Each 1% increase in WHR, WHtR, and ABSI was significantly associated with a 0.007, 0.004, and 0.104 increase in log-transformed 8-iso-PGF(2α) concentration, respectively (P<0.05). In longitudinal analysis, positive dose–response relationships were observed between gains in BMI, BAI, and increased 8-iso-PGF(2α) after adjusting for potential confounders (P(trend)<0.05). We also found that gender and smoking status modified the association of BMI gain and 8-iso-PGF(2α) increment, and such an association was more obvious in female and non-smokers. CONCLUSION: Our research implied that gain in anthropometric indices may result in a higher level of lipid peroxidation.