Response: Prevalence and Correlates of Disordered Sleep in Southeast Asian Indians with Type 2 Diabetes (Diabetes Metab J 2012;36:70-6)

Article information

Diabetes Metab J. 2012;36(4):316-316

Publication date (electronic) : 2012 August 20

doi : https://doi.org/10.4093/dmj.2012.36.4.316

Amarabalan Rajendran , Krishna G. Seshadri

Department of Endocrinology, Diabetes & Metabolism, Sri Ramachandra University, Chennai, Tamilnadu, India.

Corresponding author: Krishna G. Seshadri. Department of Endocrinology, Diabetes & Metabolism, Sri Ramachandra University, Porur, Chennai, Tamilnadu, India. krishnagseshadri@gmail.com

We are grateful for the careful reading and comments of the authors of the letter regarding our article, "Prevalence and correlates of disordered sleep in southeast Asian Indians with type 2 diabetes."

The author's comments are quite valid and do brings out the inherent and methodological limitations of our study. Further we present multiple regression analysis of our data as desired by the author in Table 1. The multiple regression analysis strengthens our conclusion that duration of diabetes strongly correlates (positively) with the global Pittsburg Sleep Quality Index (PSQI) score and in turn sleep dysfunction. A larger prospective study that further examines the influence of duration of diabetes on sleep will clarify some questions raised by our small study.

Table 1

Results of multiple regression analysis

We once again thank you for taking interest in our study and also for your comments.

Notes

No potential conflict of interest relevant to this article was reported.

Article information Continued

(open-access, http://creativecommons.org/licenses/by-nc/3.0/) :

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Table 1

Results of multiple regression analysis

Dependent variable: Pittsburg Sleep Quality Index (PSQI). R² for this regression model was 0.215.

B, regression coefficient; SE, standard error; CI, confidence interval; BMI, body mass index; HbA1c, glycosylated hemoglobin.