• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过双能X线吸收法评估的绝经相关女性脂肪分布差异。

Menopause-associated differences in female fat patterning estimated by dual-energy X-ray absorptiometry.

作者信息

Kirchengast S, Gruber D, Sator M, Hartmann B, Knogler W, Huber J

机构信息

Institute for Human Biology, University of Vienna, Austria.

出版信息

Ann Hum Biol. 1997 Jan-Feb;24(1):45-54. doi: 10.1080/03014469700004762.

DOI:10.1080/03014469700004762
PMID:9022905
Abstract

The aim of the present study was to describe and quantify the typical changes in fat patterning from premenopause to postmenopause. The absolute and relative fat and lean body mass were estimated using dual-energy X-ray absorptiometry in 461 healthy non-obese females between the ages of 18 and 64 years (x = 43.2). Significant differences (p < 0.001) in absolute and relative fat mass, body weight and body mass index between pre-, peri- and postmenopausal females were observed. Postmenopausal women were significantly heavier (BMI, x = 26.8) than perimenopausal (BMI, x = 24.4) and younger and older premenopausal women (BMI, x = 22.8) and showed significantly higher fat percentages (fat% x = 38.1) in comparison to perimenopausal (x = 36.8) and premenopausal females (x = 31.4). Three indices, upper body composition index, lower body composition index and fat distribution index were calculated. Typical differences in fat distribution patterns between females of differential menopausal status were found. During the premenopausal phase a more gynoid type of fat distribution prevailed, during the postmenopausal phase a more android kind of fat distribution occurred predominantly. The fat distribution during the perimenopause can be interpreted as less gynoid than during the premenopause.

摘要

本研究的目的是描述和量化从绝经前到绝经后脂肪分布模式的典型变化。使用双能X线吸收法对461名年龄在18至64岁之间(平均年龄 = 43.2岁)的健康非肥胖女性的绝对和相对脂肪及瘦体重进行了估计。观察到绝经前、围绝经期和绝经后女性在绝对和相对脂肪量、体重和体重指数方面存在显著差异(p < 0.001)。绝经后女性的体重(BMI,平均 = 26.8)显著高于围绝经期女性(BMI,平均 = 24.4)以及年轻和年长的绝经前女性(BMI,平均 = 22.8),并且与围绝经期女性(平均 = 36.8)和绝经前女性(平均 = 31.4)相比,脂肪百分比显著更高(脂肪%平均 = 38.1)。计算了三个指数,即上身成分指数、下身成分指数和脂肪分布指数。发现不同绝经状态女性的脂肪分布模式存在典型差异。在绝经前阶段,更倾向于女性型脂肪分布,在绝经后阶段,主要出现男性型脂肪分布。围绝经期的脂肪分布可解释为比绝经前更不具有女性型特征。

相似文献

1
Menopause-associated differences in female fat patterning estimated by dual-energy X-ray absorptiometry.通过双能X线吸收法评估的绝经相关女性脂肪分布差异。
Ann Hum Biol. 1997 Jan-Feb;24(1):45-54. doi: 10.1080/03014469700004762.
2
Menopause, fat and lean distribution in obese women.肥胖女性的绝经、脂肪与瘦体重分布
Maturitas. 1996 Aug;25(1):11-9. doi: 10.1016/0378-5122(96)01119-x.
3
The impact of nutritional status on body fat distribution patterns in pre- and postmenopausal females.营养状况对绝经前后女性身体脂肪分布模式的影响。
J Biosoc Sci. 1998 Apr;30(2):145-54. doi: 10.1017/s002193209800145x.
4
Sex- and menopause-associated changes in body-fat distribution.与性别和更年期相关的身体脂肪分布变化。
Am J Clin Nutr. 1992 May;55(5):950-4. doi: 10.1093/ajcn/55.5.950.
5
Climacteric modifications in body weight and fat tissue distribution.更年期体重及脂肪组织分布的变化
Climacteric. 1999 Mar;2(1):37-44. doi: 10.3109/13697139909025561.
6
Age- and menopause-associated variations in body composition and fat distribution in healthy women as measured by dual-energy X-ray absorptiometry.通过双能X线吸收法测量的健康女性身体成分和脂肪分布随年龄及绝经的变化。
Metabolism. 1995 Mar;44(3):369-73. doi: 10.1016/0026-0495(95)90168-x.
7
Difference in segmental lean and fat mass components between pre- and postmenopausal women.绝经前和绝经后女性之间节段性瘦体重和脂肪量成分的差异。
Menopause. 2007 Sep-Oct;14(5):875-8. doi: 10.1097/GME.0b013e318032b2f9.
8
The contribution of menopause to changes in body-fat distribution.更年期对身体脂肪分布变化的影响。
J Obstet Gynaecol Res. 1999 Oct;25(5):367-72. doi: 10.1111/j.1447-0756.1999.tb01178.x.
9
Effect of climacteric transition and hormone replacement therapy on body weight and body fat distribution.更年期过渡及激素替代疗法对体重和体脂分布的影响。
Gynecol Endocrinol. 2006 Mar;22(3):145-50. doi: 10.1080/09513590600629092.
10
Relative contribution of aging and menopause to changes in lean and fat mass in segmental regions.衰老和绝经对身体各部位瘦体重和脂肪量变化的相对贡献。
Maturitas. 2002 Aug 30;42(4):301-6. doi: 10.1016/s0378-5122(02)00161-5.

引用本文的文献

1
Cardiometabolic Effects of Denosumab in Premenopausal Women With Breast Cancer Receiving Estradiol Suppression: RCT.地诺单抗对接受雌二醇抑制治疗的绝经前乳腺癌女性的心脏代谢影响:随机对照试验
J Clin Endocrinol Metab. 2024 Sep 16;109(10):e1857-e1866. doi: 10.1210/clinem/dgae003.
2
Body Weight, Physical Activity, and Risk of Cancer in Lynch Syndrome.林奇综合征患者的体重、体力活动与癌症风险
Cancers (Basel). 2021 Apr 13;13(8):1849. doi: 10.3390/cancers13081849.
3
Investigation of Adiposity Measures and Operational Taxonomic unit (OTU) Data Transformation Procedures in Stool Samples from a German Cohort Study Using Machine Learning Algorithms.
利用机器学习算法对德国队列研究中粪便样本的肥胖测量指标和操作分类单元(OTU)数据转换程序进行调查。
Microorganisms. 2020 Apr 10;8(4):547. doi: 10.3390/microorganisms8040547.
4
Changes in truncal obesity and fat distribution predict arterial health.躯干部肥胖和脂肪分布的变化可预测动脉健康状况。
J Clin Lipidol. 2017 Nov-Dec;11(6):1354-1360.e3. doi: 10.1016/j.jacl.2017.08.013. Epub 2017 Sep 1.
5
Fat distribution patterns in young amenorrheic females.年轻闭经女性的脂肪分布模式
Hum Nat. 2001 Jun;12(2):123-40. doi: 10.1007/s12110-001-1020-z.
6
Lifestyle factors and reproductive health: taking control of your fertility.生活方式因素与生殖健康:掌控你的生育能力。
Reprod Biol Endocrinol. 2013 Jul 16;11:66. doi: 10.1186/1477-7827-11-66.
7
The relationship between endogenous androgens and body fat distribution in early and late postmenopausal women.绝经早晚期女性内源性雄激素与体脂分布的关系。
PLoS One. 2013;8(3):e58448. doi: 10.1371/journal.pone.0058448. Epub 2013 Mar 4.
8
Menopause versus aging: The predictor of obesity and metabolic aberrations among menopausal women of Karnataka, South India.更年期与衰老:印度南部卡纳塔克邦绝经后女性肥胖和代谢异常的预测因素
J Midlife Health. 2012 Jan;3(1):24-30. doi: 10.4103/0976-7800.98814.