Literature DB >> 20392865

Abdominal fat from spine dual-energy x-ray absorptiometry and risk for subsequent diabetes.

William D Leslie1, Sora M Ludwig, Suzanne Morin.   

Abstract

CONTEXT: Abdominal obesity is a major risk factor for diabetes. Dual-energy x-ray absorptiometry (DXA) of the lumbar spine provides an index of abdominal fat.
OBJECTIVE: Our objective was to examine the hypothesis that DXA-derived abdominal fat measurement in women undergoing osteoporosis investigation predicts risk for subsequent diagnosis of diabetes.
DESIGN: This historical cohort study was derived from the Manitoba Bone Density Program Database for the Province of Manitoba, Canada. SETTING AND PATIENTS: 30,252 nondiabetic women aged 40 yr and older were referred for baseline osteoporosis assessment with DXA between January 1990 and March 2007. MAIN OUTCOME MEASURES: Each woman's longitudinal provincial health service record was assessed for the presence of diabetes diagnosis codes after DXA testing.
RESULTS: During 5.2 + or - 2.6 yr of observation, 1252 (4.1%) women met the case definition for diabetes. A greater proportion of abdominal fat from spine DXA was strongly related to subsequent diabetes diagnosis in models adjusted for age, body mass index, and other comorbidities. Those in the highest quintile had 3.56 (95% confidence interval = 2.67-4.75) times the risk for subsequent diabetes diagnosis compared with those in the lowest (reference) quintile. Fat from hip DXA was not predictive of subsequent diabetes after adjustment for the same variables (1.00, 95% confidence interval = 0.79-1.26).
CONCLUSIONS: Predictive information about diabetes risk can be obtained from spine DXA scans performed for osteoporosis risk assessment. This is consistent with evidence linking abdominal fat with insulin resistance and the metabolic syndrome.

Entities:  

Mesh:

Year:  2010        PMID: 20392865     DOI: 10.1210/jc.2009-2794

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  7 in total

1.  Dual energy X-ray absorptiometry spine scans to determine abdominal fat in postmenopausal women.

Authors:  J W Bea; R M Blew; S B Going; C-H Hsu; M C Lee; V R Lee; B J Caan; M L Kwan; T G Lohman
Journal:  Am J Hum Biol       Date:  2016-07-15       Impact factor: 1.937

2.  Spine-Hip Thickness Ratio and Diabetes.

Authors:  Robert D Blank
Journal:  J Clin Densitom       Date:  2015-06-13       Impact factor: 2.617

3.  Use of iDXA spine scans to evaluate total and visceral abdominal fat.

Authors:  J W Bea; C-H Hsu; R M Blew; A P Irving; B J Caan; M L Kwan; I Abraham; S B Going
Journal:  Am J Hum Biol       Date:  2017-09-08       Impact factor: 1.937

4.  DXA Versus Clinical Measures of Adiposity as Predictors of Cardiometabolic Diseases and All-Cause Mortality in Postmenopausal Women.

Authors:  Deepika R Laddu; FeiFei Qin; Haley Hedlin; Marcia L Stefanick; JoAnn E Manson; Oleg Zaslavsky; Charles Eaton; Lisa Warsinger Martin; Thomas Rohan; Themistocles L Assimes
Journal:  Mayo Clin Proc       Date:  2021-08-31       Impact factor: 7.616

5.  Anthropometric variables accurately predict dual energy x-ray absorptiometric-derived body composition and can be used to screen for diabetes.

Authors:  Reza Yavari; Erin McEntee; Michael McEntee; Michael Brines
Journal:  PLoS One       Date:  2011-09-06       Impact factor: 3.240

6.  The Association between Body Composition using Dual energy X-ray Absorptiometry and Type-2 Diabetes: A Systematic Review and Meta-Analysis of Observational studies.

Authors:  Preeti Gupta; Carla Lanca; Alfred T L Gan; Pauline Soh; Sahil Thakur; Yijin Tao; Neelam Kumari; Ryan E K Man; Eva K Fenwick; Ecosse L Lamoureux
Journal:  Sci Rep       Date:  2019-09-02       Impact factor: 4.379

7.  High dietary magnesium intake is associated with low insulin resistance in the Newfoundland population.

Authors:  Farrell Cahill; Mariam Shahidi; Jennifer Shea; Danny Wadden; Wayne Gulliver; Edward Randell; Sudesh Vasdev; Guang Sun
Journal:  PLoS One       Date:  2013-03-05       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.