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Open Access

Correction

Correction: Influence of Serotonin Transporter Gene Polymorphisms and Adverse Life Events on Depressive Symptoms in the Elderly: A Population-Based Study

  • Annalisa Davin,
  • Maria Cristina Monti,
  • Letizia Polito,
  • Roberta Vaccaro,
  • Simona Abbondanza,
  • Marco Gnesi,
  • Simona Villani,
  • Antonio Guaita

There is an error in Table 1, in the variable “Pharmacological treatment for depression.” The corresponding chi-square value is indicated as χ = 103.96, but it should read χ2 = 103.96.

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Table 1. Overview of the baseline characteristics of the cohort.

The summary statistics (mean and standard deviation) or the frequency distribution of each variable are shown in the overall population and by the presence/absence of clinically relevant depressive symptoms (GDS≥5 vs GDS<5).The statistical tests and p-values relative to analyses by GDS categories are also reported.

https://doi.org/10.1371/journal.pone.0152858.t001

There is an error in the Acknowledgments section. It should read: The authors are grateful to “Federazione Alzheimer Italia”, Milan, for overseeing the recruitment phase and the correct execution of the InveCe.Ab study and also acknowledge Valeria Marzagalli, Golgi Cenci Foundation, Abbiategrasso, for her contribution to the data collection and quality control.

Reference

  1. 1. Davin A, Monti MC, Polito L, Vaccaro R, Abbondanza S, Gnesi M, et al. (2015) Influence of Serotonin Transporter Gene Polymorphisms and Adverse Life Events on Depressive Symptoms in the Elderly: A Population-Based Study. PLoS ONE 10(11): e0143395. pmid:26598970

Citation: Davin A, Monti MC, Polito L, Vaccaro R, Abbondanza S, Gnesi M, et al. (2016) Correction: Influence of Serotonin Transporter Gene Polymorphisms and Adverse Life Events on Depressive Symptoms in the Elderly: A Population-Based Study. PLoS ONE 11(3): e0152858. https://doi.org/10.1371/journal.pone.0152858

Published: March 29, 2016

Copyright: © 2016 Davin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.