Your browser doesn't support javascript.
loading
Comparison of Associations of DXA and CT Visceral Adipose Tissue Measures With Insulin Resistance, Lipid Levels, and Inflammatory Markers.
Schousboe, John T; Langsetmo, Lisa; Schwartz, Ann V; Taylor, Brent C; Vo, Tien N; Kats, Allyson M; Barrett-Connor, Elizabeth; Orwoll, Eric S; Marshall, Lynn M; Miljkovic, Iva; Lane, Nancy E; Ensrud, Kristine E.
Afiliação
  • Schousboe JT; Park Nicollet Clinic and Health Partners Institute, HealthPartners, Minneapolis, MN, USA; Division of Health Policy and Management, University of Minnesota, Minneapolis, MN, USA. Electronic address: scho0600@umn.edu.
  • Langsetmo L; Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN; Department of Medicine, University of Minnesota, Minneapolis, MN, USA.
  • Schwartz AV; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
  • Taylor BC; Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN; Department of Medicine, University of Minnesota, Minneapolis, MN, USA; Center for Chronic Disease Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA.
  • Vo TN; Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN.
  • Kats AM; Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN.
  • Barrett-Connor E; Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA.
  • Orwoll ES; Bone and Mineral Unit, Department of Medicine, Oregon Health & Sciences University, Portland, OR, USA.
  • Marshall LM; Bone and Mineral Unit, Department of Medicine, Oregon Health & Sciences University, Portland, OR, USA; Department of Orthopaedics and Rehabilitation, Oregon Health & Science University, Portland, OR, USA.
  • Miljkovic I; Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
  • Lane NE; Department of Medicine, University of California, Davis, Davis, CA, USA; Department of Rheumatology, University of California, Davis, Davis, CA, USA.
  • Ensrud KE; Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN; Department of Medicine, University of Minnesota, Minneapolis, MN, USA; Center for Chronic Disease Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA.
J Clin Densitom ; 20(2): 256-264, 2017.
Article em En | MEDLINE | ID: mdl-28238606
ABSTRACT
Visceral adipose tissue (VAT) measured by computed tomography (CT) is related to insulin resistance, lipids, and serum inflammatory markers. Our objective was to compare the strength of the associations of VAT measured using dual-energy X-ray absorptiometry (DXA-VAT) and CT (CT-VAT) with insulin resistance, serum lipids, and serum markers of inflammation. For 1117 men aged 65 and older enrolled in the Osteoporotic Fractures in Men Study, the cross-sectional associations of DXA-VAT and CT-VAT with homeostasis model assessment of insulin resistance (homa2ir), C-reactive protein, and high-density lipoprotein (HDL) cholesterol were estimated with regression models and compared using a Hausman test. Adjusted for age and body mass index, DXA-VAT was moderately associated with homa2ir (effect size 0.38, 95% confidence interval [CI] 0.28-0.47) and modestly associated with HDL cholesterol (DXA effect size -0.29, 95% CI -0.38 to -0.21). These associations were significantly greater than those for CT-VAT with homa2ir (0.30, 95% CI 0.24-0.37; p value for effect size difference 0.03) and CT-VAT with HDL cholesterol (-0.22, 95% CI -0.29 to -0.15; p value for difference 0.005). Neither DXA-VAT nor CT-VAT was associated with C-reactive protein after adjustment for age and body mass index (DXA-VAT effect size 0.14, 95% CI -0.04 to 0.32; CT-VAT effect size 0.08, 95% CI -0.08 to 0.25; p value for difference 0.35). DXA-VAT has similar or greater associations with insulin resistance and HDL cholesterol as does CT-VAT in older men, confirming the concurrent validity of DXA-VAT. Investigations of how well DXA measurements of VAT predict incident cardiovascular disease events are warranted.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article