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Table 1 Large cohort studies provide evidence for a significant association between bipolar disorder and diabetes mellitus

From: Bipolar disorder and diabetes mellitus: evidence for disease-modifying effects and treatment implications

Author

Year

Title

Design

Type of bipolar disorder (BD)

Method of assessment of BD

Type of diabetes mellitus (DM)

Method of assessment

Results for BD group

Age of participants (years)

N

Wändell et al.

2014

Diabetes and psychiatric illness in the total population of Stockholm

National cohort study

Cross-sectional study

BD

F30–F31

Electronic patient records

DM (ICD-10 codes E10–E14

Electronic patient records

Age adjusted odds ratio of BD among patients with DM 1.714 (1.540–1.905) for women and 1.600 (1.429–1.792) for men

0–85+

2058,408

96,103 with DM

6341 with BD

Crump et al.

2013

Comorbidities and mortality in bipolar disorder: a Swedish national cohort study

National cohort study

Cross-sectional

BD

ICD-10 code F31

Public health records

DM (ICD-10 codes E10–E14)

Public health records

Risk of DM (1.7-fold among women and 1.6-fold among men)

>20

6587,036

353,615 with DM

6618 with BD

Bai et al.

2013

Risk of developing diabetes

mellitus and hyperlipidemia among patients with bipolar disorder, major depressive disorder, and schizophrenia: a 10-year nationwide population-based prospective cohort study

10-year nationwide population-based prospective matched control cohort study

BD

(ICD-9-CM code: 296, except 296.2, 296.3)

National Health Insurance (NHI) program records

DM (ICD-9-CM code 250)

National Health Insurance (NHI) program records

Increased risk of initiation of anti-diabetic medications (10.1 vs. 6.3 %, p = 0.012)

Age and gender adjusted risk

[hazard ratio (HR) of 1.702, 95 % confidence interval (CI): 1.155–2.507]

Average age 45.3 ± 14.0

1000,000

367 patients with BD

37 with DM

Svendal et al.

2012

Co-prescription of medication for bipolar disorder and diabetes mellitus: a nationwide population-based study with focus on gender differences

Norwegian prescription database

Case–control study

BD

Indicated by prescription of mood stabilizers

DM

Indicated by prescription of antidiabetic medication

Unadjusted odds ratio of 2.1 (CI 95 %: 1.9, 2.2)

Sex and age adjusted odds ratio of 2.0 (CI 95 %: 1.8, 2.1)

20–69

2,929,065

77,669 with DM

17,007 with BD

Hsieh

et al.

2012

Medical costs and vasculo-metabolic comorbidities among patients with bipolar disorder in Taiwan—a population-based and -matched control study

Matched case–control study

BD (ICD-9-CM code 296, except 296.2, 296.3)

Hospital admission

DM

ICD-9-CM (250)

Medical records

DM prevalence ratio 3.19; [2.74, 3.70]; p < .0001

>20

About 23,000,000

4,067 with BD,

420 with DM

Kodesh et al.

2012

Epidemiology and comorbidity of severe mental illnesses in the community: findings from a computerized mental health registry in a large Israeli health organization

Publicly funded Health Maintenance Organization (HMO) records

Case–control study

BD-I, BD-II, Mania ICD-9 codes 295.*–298.*

Medical records

DM

Computerized medical records

DM odds ratio of 1.6

>21

2,000,000

5,732 patients with BD

Chien

et al.

2010

Prevalence of diabetes in patients with bipolar disorder in Taiwan: a population-based national health insurance study

National Health Research Institute

Case–control study

BD

Medical records

DM

Medical records

Diabetes prevalence in BD patients versus controls 10.77 vs. 5.57 %, OR 2.01; 99 % CI 1.64–2.48

>18

1,000,000

1,848 with BD