메뉴 건너뛰기




Volumn 330, Issue 7481, 2005, Pages 17-18

Insulin resistance and depression: Cross sectional study

Author keywords

[No Author keywords available]

Indexed keywords

INSULIN;

EID: 11244261224     PISSN: 09598146     EISSN: None     Source Type: Journal    
DOI: 10.1136/bmj.38313.513310.F7     Document Type: Article
Times cited : (117)

References (5)
  • 1
    • 0346218218 scopus 로고    scopus 로고
    • Association of insulin resistance with depression: Cross sectional findings from the British Women's Heart and Health Study
    • Lawlor DA, Smith GD, Ebrahim S. Association of insulin resistance with depression: cross sectional findings from the British Women's Heart and Health Study. BMJ 2003;327:1383-4.
    • (2003) BMJ , vol.327 , pp. 1383-1384
    • Lawlor, D.A.1    Smith, G.D.2    Ebrahim, S.3
  • 2
    • 0141832614 scopus 로고    scopus 로고
    • Relationship of depression to diabetes types 1 and 2: Epidemiology, biology, and treatment
    • Musselman DL, Betan E, Larsen H, Phillips LS. Relationship of depression to diabetes types 1 and 2: epidemiology, biology, and treatment. Biol Psychiatry 2003;54:317-29.
    • (2003) Biol Psychiatry , vol.54 , pp. 317-329
    • Musselman, D.L.1    Betan, E.2    Larsen, H.3    Phillips, L.S.4
  • 4
    • 0036846532 scopus 로고    scopus 로고
    • Low insulin sensitivity measured by both quantitative insulin sensitivity check index and homeostasis model assessment method as a risk factor of increased intima-media thickness of the carotid artery
    • Rajala U, Laakso M, Paivansalo M, Pelkonen O, Suramo I, Keinanen-Kiukaannemi S. Low insulin sensitivity measured by both quantitative insulin sensitivity check index and homeostasis model assessment method as a risk factor of increased intima-media thickness of the carotid artery. J Clin Endocrinol Metab 2002;87:5092-7.
    • (2002) J Clin Endocrinol Metab , vol.87 , pp. 5092-5097
    • Rajala, U.1    Laakso, M.2    Paivansalo, M.3    Pelkonen, O.4    Suramo, I.5    Keinanen-Kiukaannemi, S.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.