A Systematic Review and Meta-analysis of the Association Between Depression and Insulin Resistance

被引:285
作者
Kan, Carol [1 ]
Silva, Naomi [1 ]
Golden, Sherita Hill [2 ,3 ]
Rajala, Ulla [4 ]
Timonen, Markku [4 ]
Stahl, Daniel [5 ]
Ismail, Khalida [1 ]
机构
[1] Kings Coll London, Inst Psychiat, London WC2R 2LS, England
[2] Johns Hopkins Sch Med, Dept Med, Baltimore, MD USA
[3] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[4] Univ Oulu, Inst Hlth Sci, Oulu, Finland
[5] Kings Coll London, Inst Psychiat, Dept Biostat, London WC2R 2LS, England
关键词
TYPE-2; DIABETES-MELLITUS; YOUNG-ADULT MALES; COMORBID DEPRESSION; MINIMAL MODEL; HEALTH-CARE; RISK-FACTOR; SYMPTOMS; WOMEN; SENSITIVITY; QUALITY;
D O I
10.2337/dc12-1442
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE-Depression is associated with the onset of type 2 diabetes. A systematic review and meta-analysis of observational studies, controlled trials, and unpublished data was conducted to examine the association between depression and insulin resistance (IR). RESEARCH DESIGN AND METHODS-Medline, EMBASE, and PsycINFO were searched for studies published up to September 2011. Two independent reviewers assessed the eligibility of each report based on predefined inclusion criteria (study design and measure of depression and IR, excluding prevalent cases of diabetes). Individual effect sizes were standardized, and a meta-analysis was performed to calculate a pooled effect size using random effects. Subgroup analyses and meta-regression were conducted to explore any potential source of heterogeneity between studies. RESULTS-Of 967 abstracts reviewed, 21 studies met the inclusion criteria of which 18 studies had appropriate data for the meta-analysis (n = 25,847). The pooled effect size (95% CI) was 0.19 (0.11-0.27) with marked heterogeneity (I-2 = 82.2%) using the random-effects model. Heterogeneity between studies was not explained by age or sex, but could be partly explained by the methods of depression and IR assessments. CONCLUSIONS-A small but significant cross-sectional association was observed between depression and IR, despite heterogeneity between studies. The pathophysiology mechanisms and direction of this association need further study using a purposively designed prospective or intervention study in samples at high risk for diabetes. Diabetes Care 36:480-489, 2013
引用
收藏
页码:480 / 489
页数:10
相关论文
共 60 条
[11]   THE COMPARISON OF PERCENTAGES IN MATCHED SAMPLES [J].
COCHRAN, WG .
BIOMETRIKA, 1950, 37 (3-4) :256-266
[12]  
Cooper H., 1994, The handbook of research synthesis
[13]   Association of depression and diabetes complications: A meta-analysis [J].
de Groot, M ;
Anderson, R ;
Freedland, KE ;
Clouse, RE ;
Lustman, PJ .
PSYCHOSOMATIC MEDICINE, 2001, 63 (04) :619-630
[14]   Depression is a risk factor for noncompliance with medical treatment -: Meta-analysis of the effects of anxiety and depression on patient adherence [J].
DiMatteo, MR ;
Lepper, HS ;
Croghan, TW .
ARCHIVES OF INTERNAL MEDICINE, 2000, 160 (14) :2101-2107
[15]   Bias in meta-analysis detected by a simple, graphical test [J].
Egger, M ;
Smith, GD ;
Schneider, M ;
Minder, C .
BMJ-BRITISH MEDICAL JOURNAL, 1997, 315 (7109) :629-634
[16]   Depressive symptoms, insulin resistance, and risk of diabetes in women at midlife [J].
Everson-Rose, SA ;
Meyer, PM ;
Powell, LH ;
Pandey, D ;
Torréns, JI ;
Kravitz, HM ;
Bromberger, JT ;
Matthews, KA .
DIABETES CARE, 2004, 27 (12) :2856-2862
[18]   Depression and type 2 diabetes mellitus: The multiethnic study of atherosclerosis [J].
Golden, Sherita Hill ;
Lee, Hochang Benjamin ;
Schreiner, Pamela J. ;
Roux, Ana Diez ;
Fitzpatrick, Annette L. ;
Szklo, Moyses ;
Lyketsos, Constantine .
PSYCHOSOMATIC MEDICINE, 2007, 69 (06) :529-536
[19]   Measuring inconsistency in meta-analyses [J].
Higgins, JPT ;
Thompson, SG ;
Deeks, JJ ;
Altman, DG .
BMJ-BRITISH MEDICAL JOURNAL, 2003, 327 (7414) :557-560
[20]   The relationship between depression and diabetes mellitus: findings from the Hertfordshire Cohort Study [J].
Holt, R. I. G. ;
Phillips, D. I. W. ;
Jameson, K. A. ;
Cooper, C. ;
Dennison, E. M. ;
Peveler, R. C. .
DIABETIC MEDICINE, 2009, 26 (06) :641-648