静息代谢率与高尿酸血症的关系:代谢率越高越好吗?

IF 2.8 3区 医学 Q3 ENVIRONMENTAL SCIENCES
Guo Jinhao, Zheng Jiarui, Yin Xianglin, Qiu Hongbin, Wei Jinfeng
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引用次数: 0

摘要

基础代谢率、静息代谢率和静息能量消耗经常被用于相同的研究目的,但将它们与人类代谢率和代谢性疾病分开的潜在机制仍然知之甚少。此外,在不同静息代谢率人群中预防和管理高尿酸血症的具体建议尚未提出,如何根据静息代谢率等因素减少高尿酸血症的公共卫生负担尚未探讨。[方法]2011 - 2018年,从全国健康与营养检查调查(NHANES)中选取3268名成年参与者。采用改进的Harris-Benedict方程计算静息代谢率,采用NHANES实验室测试获得各项生化参数。采用多变量logistic回归分析观察高尿酸血症与静息代谢率之间的关系。[结果]多因子校正模型第二至第四四分位数RMR水平相对于第一四分位数的相对优势比分别为1.258 (0.883 ~ 1.793),P < 0.05, 1.569 (1.024 ~ 2.404), P < 0.05, 1.991 (1.187 ~ 3.338), P < 0.05;1.683 (0.955 ~ 2.967), P < 0.05;和2.140 (0.965 ~ 4.747),P > 0.05为第二至第四分位数。女性亚组调整后绝经后RMR水平的第二至第四分位数,相对优势比为1.186 (1.005 ~ 3.082),P < 0.05。[结论]静息代谢率与高尿酸血症呈正相关。这种模式在性别亚组的研究中也得到了体现,45岁以上的女性特别容易受到高尿酸血症和静息代谢率之间关系的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The relationship between resting metabolic rate and hyperuricemia: is a higher metabolic rate better?

Basal metabolic rate, resting metabolic rate, and resting energy expenditure are frequently utilised for the same research aims, but the underlying mechanisms separating them from human metabolic rate and metabolic disease remain poorly understood.Furthermore, specific recommendations for the prevention and management of hyperuricemia in populations with different resting metabolic rates have not been proposed, or how to reduce the public health burden of hyperuricemia based on resting metabolic rate and other factors have not been explored.[Methods] From 2011 to 2018, we selected 3268 adult participants from the National Health and Nutrition Examination Survey (NHANES). The modified Harris-Benedict equation was used to compute resting metabolic rate, and NHANES laboratory tests were used to acquire all biochemical parameters. A multivariate logistic regression analysis was performed to look at the relationship between hyperuricemia and resting metabolic rate. [Results] The multifactorial corrected model's second through fourth quartiles of RMR levels compared to the first quartile had relative advantage ratios of 1.258 (0.883 to 1.793), P > 0.05, 1.569 (1.024 to 2.404), P < 0.05, and 2.570 (1.555 to 4.247), P < 0.001 for men, respectively, following analysis.Subgroups of sexes Following analysis, the relative advantage ratios for the second and third tertiles of RMR levels for males were 1.157 (0.712 to 1.880), P > 0.05, and 1.991 (1.187 to 3.338), P < 0.05, respectively, when compared to the first tertile in the multifactorial corrected model.The female subgroup's adjusted postmenopausal RMR levels had relative dominating ratios of 1.157 (0.767 to 1.743), P > 0.05; 1.683 (0.955 to 2.967), P > 0.05; and 2.140 (0.965 to 4.747), P > 0.05 for the second through fourth quartiles. For the second through fourth quartiles of adjusted postmenopausal RMR levels in the female subgroup, the relative dominance ratios were 1.186 (1.005 to 3.082), P < 0.05; 2.302 (1.043 to 5.081), P < 0.05; and 1.192 (0.792 to 1.794), P > 0.05.[Conclusion] There was a positive correlation between resting metabolic rate and hyperuricemia. This pattern was also shown when gender subgroups were examined, with women over 45 being particularly susceptible to the association between hyperuricemia and resting metabolic rate.

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来源期刊
Journal of Health, Population, and Nutrition
Journal of Health, Population, and Nutrition 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.20
自引率
0.00%
发文量
49
审稿时长
6 months
期刊介绍: Journal of Health, Population and Nutrition brings together research on all aspects of issues related to population, nutrition and health. The journal publishes articles across a broad range of topics including global health, maternal and child health, nutrition, common illnesses and determinants of population health.
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