Population impact of depression either as a risk factor or consequence of type 2 diabetes in adults: a meta-analysis of longitudinal studies

Hasan, Syed Shahzad, Clavarino, Alexandra M., Mamun, Abdullah, Doi, Suhail A.R., and Kairuz, Therese (2013) Population impact of depression either as a risk factor or consequence of type 2 diabetes in adults: a meta-analysis of longitudinal studies. Asian Journal of Psychiatry, 6 (6). pp. 460-472.

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Abstract

This meta-analysis examined the reciprocal relationship between depression and diabetes mellitus type 2 (T2DM) by conducting a bias adjusted meta-analysis of longitudinal studies using relative and absolute risk estimates. Specifically, the data were reconstructed to compute relative risk (RR), risk difference (RD), and the number needed to be exposed for one additional person to be harmed (NNEH) or benefited (NNEB). The 25 studies selected for review generated 29 datasets of which 15 examined endpoint A (depression as a risk factor for T2DM), and 14 examined endpoint B (T2DM as a risk factor for depression). For both endpoints, there was a small relative risk increase (for both the RR and hazard ratio (HR)) though with significant heterogeneity between studies. This however translated to a non-significant NNEH of 87 (NNEB 161 to ∞ to NNEH 35) and NNEH of 233 (NNEB 28 to ∞ to NNEH 23) for studies examining endpoint A and endpoint B respectively. This study suggests that the magnitude of the relative risk increase for depression as a risk factor or consequence of T2DM is small without significant impact on absolute risk indices. While these risks may be considered in terms of individual patient management, they are unlikely to have an impact on a population perspective.

Item ID: 35013
Item Type: Article (Research - C1)
ISSN: 1876-2026
Keywords: depression, diabetes mellitus, type 2, longitudinal, meta-analysis
Date Deposited: 27 Aug 2014 01:51
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1199 Other Medical and Health Sciences > 119999 Medical and Health Sciences not elsewhere classified @ 100%
SEO Codes: 92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 100%
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