雌激素和肌肉力量之间的关系:一个当前的观点

K. Elliott-Sale
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引用次数: 4

摘要

肌肉力量和雌激素之间的关系是模糊的,很大程度上仍未解决。支持和反对雌二醇对肌肉功能决定因素的影响的证据是模棱两可的,而且经常是矛盾的。这一领域的大部分研究是在上世纪八九十年代进行的,使用的是生殖功能模型,比如;月经周期、更年期和激素替代疗法、口服避孕药和体外受精治疗,改变女性荷尔蒙环境。在过去的十年中,大约有15篇论文证明了雌激素浓度与骨骼肌力量之间的关系,无论是正的还是负的。相反,大约有20篇文章没有显示雌激素对许多力量测量有任何影响。这些研究大多是在绝经后和痛经的女性中进行的。目前大多数研究使用激素测定来确认雌激素状态,但最近没有研究报道雌二醇的生物可利用浓度。同样,在过去的10年里,没有研究使用体外受精治疗或怀孕作为性激素浓度超生理变化的急性和慢性模型。未来的工作应侧重于对肌肉力量的每个关键组成部分进行荟萃分析,以试图阐明因果关系。此外,应使用引起雌激素浓度最大变化的生殖功能模型,同时控制尽可能多的混杂因素。
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The relationship between oestrogen and muscle strength: a current perspective
The relationship between muscle strength and oestrogen is ambiguous and is still largely unresolved. The evidence for and against an effect of oestradiol on determinants of muscle function is equivocal and often contradictory. The bulk of the research in this area was performed during the eighties and nineties, using models of reproductive functioning such as; the menstrual cycle, the menopause and hormone replacement therapy, oral contraceptives and in vitro fertilisation treatment, to alter the female hormonal milieu. In the last decade, approximately 15 papers have demonstrated a relationship, both positive and negative, between the concentration of oestrogen and skeletal muscle strength. Conversely, around 20 articles have not shown any influence of oestrogen on a number of strength measures. The majority of these studies were performed using post-menopausal and eumenorrheic females. Most current studies use hormonal assays to confirm oestrogen status, however no recent studies have reported the bioavailable concentration of oestradiol. Similarly, no research in the last 10 years has used in vitro fertilisation treatment or pregnancy as acute and chronic models of supra-physiological changes in sex hormone concentration. Future work should focus on performing meta-analyses on each of the key components of muscle strength in an attempt to elucidate a causal relationship. In addition, models of reproductive functioning that cause the greatest magnitude of change to oestrogen concentration should be used, while controlling as many confounding factors as possible.
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