Dataset Information

Antidepressant medication use, weight gain, and risk of type 2 diabetes: a population-based study.

ABSTRACT:

Objective

To examine antidepressant medication use as a risk factor for type 2 diabetes and weight gain.

Research design and methods

A series of nested studies within a prospective cohort of 151,347 working-aged men and women including 9,197 participants with continuing antidepressant medication, 224 with severe depression, and 851 with incident type 2 diabetes during a mean follow-up of 4.8 years, as indicated by national health and prescription registers (the Public Sector study, Finland 1995-2005).

Results

In the first analysis, the case subjects were individuals with incident type 2 diabetes compared with matched diabetes-free control subjects. Antidepressant use of ? 200 defined daily doses was associated with a doubling of diabetes risk in both participants with no indication of severe depression (odds ratio 1.93 [95% CI 1.48-2.51]) and participants with severe depression (2.65 [1.31-5.39]). In further analyses, the exposed group was antidepressant users and the reference group was nonusers matched for depression-related characteristics. The 5-year absolute risk of diabetes was 1.1% for nonusers, 1.7% for individuals treated with 200-399 defined daily doses a year, and 2.3% for those with ? 400 defined daily doses (P(trend) < 0.0001). An average self-reported weight gain, based on repeated surveys, was 1.4 kg (2.5%) among nonusers and 2.5 kg (4.3%) among users of ? 200 defined daily doses (P(trend) < 0.0001). Separate analyses for tricyclic antidepressants and selective serotonin reuptake inhibitors replicated these findings.

Conclusions

In these data, continuing use of antidepressant medication was associated with an increased relative risk of type 2 diabetes, although the elevation in absolute risk was modest.

SUBMITTER: Kivimaki M

PROVIDER: S-EPMC2992199 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature

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Publications

Antidepressant medication use, weight gain, and risk of type 2 diabetes: a population-based study.

Kivimäki Mika M Hamer Mark M Batty G David GD Geddes John R JR Tabak Adam G AG Pentti Jaana J Virtanen Marianna M Vahtera Jussi J

Diabetes care 20100907 12

<h4>Objective</h4>To examine antidepressant medication use as a risk factor for type 2 diabetes and weight gain.<h4>Research design and methods</h4>A series of nested studies within a prospective cohort of 151,347 working-aged men and women including 9,197 participants with continuing antidepressant medication, 224 with severe depression, and 851 with incident type 2 diabetes during a mean follow-up of 4.8 years, as indicated by national health and prescription registers (the Public Sector study ...[more]

PMID: 20823343

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Project description:OBJECTIVE:To evaluate the long term association between antidepressant prescribing and body weight. DESIGN:Population based cohort study. SETTING:General practices contributing to the UK Clinical Practice Research Datalink, 2004-14. PARTICIPANTS:136?762 men and 157?957 women with three or more records for body mass index (BMI). MAIN OUTCOME MEASURES:The main outcomes were antidepressant prescribing, incidence of ?5% increase in body weight, and transition to overweight or obesity. Adjusted rate ratios were estimated from a Poisson model adjusting for age, sex, depression recording, comorbidity, coprescribing of antiepileptics or antipsychotics, deprivation, smoking, and advice on diet. RESULTS:In the year of study entry, 17?803 (13.0%) men and 35?307 (22.4%) women with a mean age of 51.5 years (SD 16.6 years) were prescribed antidepressants. During 1?836?452 person years of follow-up, the incidence of new episodes of ?5 weight gain in participants not prescribed antidepressants was 8.1 per 100 person years and in participants prescribed antidepressants was 11.2 per 100 person years (adjusted rate ratio 1.21, 95% confidence interval 1.19 to 1.22, P<0.001). The risk of weight gain remained increased during at least six years of follow-up. In the second year of treatment the number of participants treated with antidepressants for one year for one additional episode of ?5% weight gain was 27 (95% confidence interval 25 to 29). In people who were initially of normal weight, the adjusted rate ratio for transition to overweight or obesity was 1.29 (1.25 to 1.34); in people who were initially overweight, the adjusted rate ratio for transition to obesity was 1.29 (1.25 to 1.33). Associations may not be causal, and residual confounding might contribute to overestimation of associations. CONCLUSION:Widespread utilisation of antidepressants may be contributing to long term increased risk of weight gain at population level. The potential for weight gain should be considered when antidepressant treatment is indicated.

Project description:ObjectivesTo investigate the association between antidepressant treatment and risk of several potential adverse outcomes in older people with depression and to examine risks by class of antidepressant, duration of use, and dose.DesignCohort study of people aged 65 and over diagnosed as having depression.Setting570 general practices in the United Kingdom supplying data to the QResearch primary care database.Participants60,746 patients diagnosed as having a new episode of depression between the ages of 65 and 100 years from 1 January 1996 to 31 December 2007 and followed up until 31 December 2008.Main outcome measuresHazard ratios associated with antidepressant use for all cause mortality, attempted suicide/self harm, myocardial infarction, stroke/transient ischaemic attack, falls, fractures, upper gastrointestinal bleeding, epilepsy/seizures, road traffic accidents, adverse drug reactions, and hyponatraemia, adjusted for a range of potential confounding variables. Hazard ratios were calculated for antidepressant class (tricyclic and related antidepressants, selective serotonin reuptake inhibitors, other antidepressants), dose, and duration of use and for commonly prescribed individual drugs.Results54,038 (89.0%) patients received at least one prescription for an antidepressant during follow-up. A total of 1,398,359 antidepressant prescriptions were issued: 764,659 (54.7%) for selective serotonin reuptake inhibitors, 442,192 (31.6%) for tricyclic antidepressants, 2203 (0.2%) for monoamine oxidase inhibitors, and 189,305 (13.5%) for the group of other antidepressants. The associations with the adverse outcomes differed significantly between the antidepressant classes for seven outcomes. Selective serotonin reuptake inhibitors were associated with the highest adjusted hazard ratios for falls (1.66, 95% confidence interval 1.58 to 1.73) and hyponatraemia (1.52, 1.33 to 1.75) compared with when antidepressants were not being used. The group of other antidepressants was associated with the highest adjusted hazard ratios for all cause mortality (1.66, 1.56 to 1.77), attempted suicide/self harm (5.16, 3.90 to 6.83), stroke/transient ischaemic attack (1.37, 1.22 to 1.55), fracture (1.64, 1.46 to 1.84), and epilepsy/seizures (2.24, 1.60 to 3.15), compared with when antidepressants were not being used. Tricyclic antidepressants did not have the highest hazard ratio for any of the outcomes. Significantly different associations also existed between the individual drugs for the same seven outcomes; trazodone (tricyclic antidepressant), mirtazapine, and venlafaxine (both in the group of other antidepressants) were associated with the highest rates for some of these outcomes. Absolute risks over 1 year for all cause mortality were 7.04% for patients while not taking antidepressants, 8.12% for those taking tricyclic antidepressants, 10.61% for selective serotonin reuptake inhibitors, and 11.43% for other antidepressants.ConclusionsSelective serotonin reuptake inhibitors and drugs in the group of other antidepressants were associated with an increased risk of several adverse outcomes compared with tricyclic antidepressants. Among individual drugs, trazodone, mirtazapine, and venlafaxine were associated with the highest risks for some outcomes. As this is an observational study, it is susceptible to confounding by indication, channelling bias, and residual confounding, so differences in characteristics between patients prescribed different antidepressant drugs that could account for some of the associations between the drugs and the adverse outcomes may remain. Further research is needed to confirm these findings, but the risks and benefits of different antidepressants should be carefully evaluated when these drugs are prescribed to older people.

Dataset Information

Antidepressant medication use, weight gain, and risk of type 2 diabetes: a population-based study.

Objective

Research design and methods

Results

Conclusions

Publications

Antidepressant medication use, weight gain, and risk of type 2 diabetes: a population-based study.

Similar Datasets

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