کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
920787 1473863 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Examining the relation between respiratory sinus arrhythmia and depressive symptoms in emerging adults: A longitudinal study
ترجمه فارسی عنوان
بررسی ارتباط بین آریتمی های تنفسی سینوسی و علائم افسردگی در بزرگسالان در حال ظهور: یک مطالعه طولی
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب رفتاری
چکیده انگلیسی


• We examined respiratory sinus arrhythmia as a predictor of future depressive symptoms across one year in a sample of healthy, emerging adults.
• We collected respiratory sinus arrhythmia and participants completed the Beck Depression Inventory –II.
• Year one resting RSA predicted year 2 depressive symptoms, even after accounting for the stability of RSA and depressive symptoms across both time points and controlling for trait anxiety, body mass index, medication use, and age.
• This study provides support for RSA as a viable biomarker for predicting future depressive symptoms.

Major depressive disorder (MDD) is a debilitating and prevalent disorder associated with lower quality of life and substantial economic burden. Recently, there has been strong interest in respiratory sinus arrhythmia (RSA) as a biological predictor of later depression. Theoretical work suggests that higher resting RSA indexes physiological flexibility and better emotion regulation whereas lower RSA may mark vulnerability for psychopathology. However, empirical findings have varied. This study examined whether lower resting RSA predicted later depressive symptoms in a sample of healthy young adults across one year (n = 185). Results indicate that year one (Y1) resting RSA predicted Y2 depressive symptoms. This finding remained significant when accounting for the stability of RSA and depressive symptoms across both time points and when including trait anxiety, body mass index, and medication use in statistical models. Findings provide further support for RSA as a promising biological marker for understanding and predicting depressive symptoms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biological Psychology - Volume 110, September 2015, Pages 34–41
نویسندگان
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