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01.12.2017 | Research article | Ausgabe 1/2017 Open Access

BMC Psychiatry 1/2017

Insomnia symptoms as a cause of type 2 diabetes Incidence: a 20 year cohort study

Zeitschrift:
BMC Psychiatry > Ausgabe 1/2017
Autoren:
Michael J Green, Colin A Espie, Frank Popham, Tony Robertson, Michaela Benzeval
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s12888-017-1268-4) contains supplementary material, which is available to authorized users.

Abstract

Background

Insomnia symptoms are associated with type 2 diabetes incidence but are also associated with a range of potential time-varying covariates which may confound and/or mediate associations. We aimed to assess whether cumulative exposure to insomnia symptoms has a causal effect on type 2 diabetes incidence.

Methods

A prospective cohort study in the West of Scotland, following respondents for 20 years from age 36. 996 respondents were free of diabetes at baseline and had valid data from up to four follow-up visits. Type 2 diabetes was assessed at the final visit by self-report, taking diabetic medication, or blood-test (HbA1c ≥ 6.5% or 48 mmol/mol). Effects of cumulative insomnia exposure on type 2 diabetes incidence were estimated with traditional regression and marginal structural models, adjusting for time-dependent confounding (smoking, diet, physical inactivity, obesity, heavy drinking, psychiatric distress) as well as for gender and baseline occupational class.

Results

Traditional regression yielded an odds ratio (OR) of 1.34 (95% CI: 1.06-1.70) for type 2 diabetes incidence for each additional survey wave in which insomnia was reported. Marginal structural models adjusted for prior covariates (assuming concurrently measured covariates were potential mediators), reduced this OR to 1.20 (95% CI: 0.98-1.46), and when concurrent covariates were also included (viewing them as potential confounders) this dropped further to 1.08 (95% CI: 0.85-1.37).

Conclusions

The association between cumulative experience of insomnia and type 2 diabetes incidence appeared confounded. Evidence for a residual causal effect depended on assumptions as to whether concurrently measured covariates were confounders or mediators.
Zusatzmaterial
Additional file 1: Appendix 1. Calculation of weights. Gives further technical details of the specific models used to calculate analysis weights. (DOCX 17 kb)
12888_2017_1268_MOESM1_ESM.docx
Additional file 2: Appendix 2. Covariate balance. Includes 5 supplementary figures showing how wave-specific weights achieve covariate balance on prior measures of covariates. (DOCX 164 kb)
12888_2017_1268_MOESM2_ESM.docx
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