» Articles » PMID: 18664607

Antipsychotics and Diabetes: an Age-related Association

Overview
Specialty Pharmacology
Date 2008 Jul 31
PMID 18664607
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Previous studies have reported an association between anti-psychotic medications and diabetes.

Objective: To explore the association between antipsychotic medications and diabetes in patients of different ages.

Methods: A retrospective analysis of a large health maintenance organization's drug claim database (3.7 million members) was performed. All patients treated with antipsychotic drugs during 1998-2004 were identified. Patients with diabetes were defined by a record of antidiabetic drug use during 2004. The prevalence of diabetes in different age groups treated with antipsychotics was compared with the prevalence of diabetes among enrollees in the same age groups not treated with antipsychotics.

Results: Among 82,754 patients treated with antipsychotics, the association between diabetes and consumption of antipsychotics was strongest in the younger age groups and decreased with increasing age: for patients aged 0-24 years, OR 8.9 (95% CI 7.0 to 11.3); 25-44 years, OR 4.2 (95% CI 3.8 to 4.5); 45-54 years, OR 1.9 (95% CI 1.8 to 2.1); 55-64 years, OR 1.3 (95% CI 1.2 to 1.4); and 65 years or older, OR 0.93 (95% CI 0.9 to 1.0). However, the risk associated with atypical antipsychotics was lower than the risk associated with typical antipsychotics, with ORs ranging from 0.7 in patients 0-24 years old to 0.3 in those 65 years or older.

Conclusions: Antipsychotic drug use was associated with diabetes mellitus. This association was stronger in younger patients. In older adults, the difference was much smaller and, in some cases, there was no association. A lower risk was associated with atypical agents, as compared with typical antipsychotics. Clinicians should be aware that young adults treated with antipsychotics are at increased risk for diabetes.

Citing Articles

Impact of institutional quality improvement initiatives on metabolic monitoring in mental disorder in patients treated with antipsychotics: A meta-analysis of intervention studies.

Shin S, Moon S, Wang J, Choi Y J Glob Health. 2024; 14():04074.

PMID: 38783701 PMC: 11116930. DOI: 10.7189/jogh.14.04074.


Nonalcoholic Fatty Liver Disease in Children and Adolescents Taking Atypical Antipsychotic Medications: Protocol for a Systematic Review and Meta-analysis.

Hatem R, Nawaz F, Al-Sharif G, Almoosa M, Kattan W, Tzivinikos C JMIR Res Protoc. 2022; 11(3):e20168.

PMID: 35311689 PMC: 8981001. DOI: 10.2196/20168.


The Burden of Antipsychotic-Induced Weight Gain and Metabolic Syndrome in Children.

Libowitz M, Nurmi E Front Psychiatry. 2021; 12:623681.

PMID: 33776816 PMC: 7994286. DOI: 10.3389/fpsyt.2021.623681.


Query-constraint-based mining of association rules for exploratory analysis of clinical datasets in the National Sleep Research Resource.

Abeysinghe R, Cui L BMC Med Inform Decis Mak. 2018; 18(Suppl 2):58.

PMID: 30066656 PMC: 6069291. DOI: 10.1186/s12911-018-0633-7.


Prevalence of Self-Reported Diabetes by Sexual Orientation: Results from the 2014 Behavioral Risk Factor Surveillance System.

Beach L, Elasy T, Gonzales G LGBT Health. 2018; 5(2):121-130.

PMID: 29377760 PMC: 5833244. DOI: 10.1089/lgbt.2017.0091.