Literature DB >> 24795160

Fatty and lean red meat consumption in China: differential association with Chinese abdominal obesity.

Z Wang1, B Zhang2, F Zhai2, H Wang2, J Zhang2, W Du2, C Su2, J Zhang2, H Jiang2, B M Popkin3.   

Abstract

AIM: We examined the longitudinal association between red meat (RM) consumption and the risk of abdominal obesity in Chinese adults. METHODS AND
RESULTS: Our data are from 16,822 adults aged 18-75 in the China Health and Nutrition Survey from 1993 to 2011. We assessed RM intake with three 24-h dietary recalls. We defined abdominal obesity as a waist circumference (WC) ≥85 centimeters (cm) for men and ≥80 cm for women. Multilevel mixed-effect regression models showed that men experienced WC increases of 0.74 cm (95% confidence interval [CI]: 0.39-1.09) from a higher total intake of fresh RM and 0.59 cm (95% CI: 0.24-0. 95) from a higher intake of fatty fresh RM but 0.14 cm (95% CI: -0.39 to 0.66) from a higher intake of lean fresh RM in the top quartile versus non-consumers when adjusted for potential confounders. In contrast, after additional adjustment for baseline WC, the odds ratios of abdominal obesity in men were attenuated for total fresh RM (1.25 [95% CI: 1.06-1.47]) and fatty fresh RM (1.22 [95% CI: 1.03-1.44]) but were still not affected by lean fresh RM (0.95 [95% CI: 0.75-1.22]). Women also showed a positive association of fatty fresh RM intake with abdominal obesity.
CONCLUSION: Greater intake of fatty fresh RM was significantly associated with higher WC (men only) and abdominal obesity risk in Chinese adults. The gender-specific differential association of fatty versus lean fresh RM warrants further study.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Abdominal obesity; Chinese; Fatty fresh red meat; Waist circumference

Mesh:

Substances:

Year:  2014        PMID: 24795160      PMCID: PMC4112159          DOI: 10.1016/j.numecd.2014.03.002

Source DB:  PubMed          Journal:  Nutr Metab Cardiovasc Dis        ISSN: 0939-4753            Impact factor:   4.222


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