Health Maintenance Regarding Carbohydrate Counting and Calorie Restricted Diets in Diabetes Mellitus Type 2 Patients

Diabetes Mellitus is a rapidly growing epidemic in today’s society. In 2000, 2.8% (171 million) of the world had this diagnosis. In 2030, it is expected to increase to 4.4% (366 million). There is an increased need for research and implementation in the nursing field to manage diabetic symptoms. Diabetes mellitus type 2 is a cellular change causing insulin to be resistant to the cells which leads to a build up of glucose. Multiple medical complications can result from the diagnosis of diabetes mellitus type 2. The purpose of this study is to determine which diabetic diet is more effective in reducing the symptoms of diabetes mellitus type 2 patients: carbohydrate counting or calorie restricted diets

Pupillary reactivity to negative stimuli prospectively predicts recurrence of major depressive disorder in women.

There is a large body of research supporting the association between disrupted physiological reactivity to negative stimuli and depression. The present study aimed to examine whether physiological reactivity to emotional stimuli, assessed via pupil dilation, served as a biological marker of risk for depression recurrence among individuals who are known to be at a higher risk due to having previous history of depression. Participants were 57 women with a history of major depressive disorder (MDD). Pupil dilation to angry, happy, sad, and neutral faces was recorded. Participants’ diagnoses and symptoms were assessed 24 months after the initial assessment. We found that women’s pupillary reactivity to negative (sad or angry faces) but not positive stimuli prospectively predicted MDD recurrence. Additionally, we found that both hyper- and hypopupillary reactivity to angry faces predicted risk for MDD recurrence. These findings suggest that disrupted physiological response to negative stimuli indexed via pupillary dilation could serve as a physiological marker of MDD risk, thus presenting clinicians with a convenient and inexpensive method to predict which of the at-risk women are more likely to experience depression recurrence

Neural correlates of rumination in adolescents with remitted major depressive disorder and healthy controls

This is the author accepted manuscript. The final version is available from Springer Verlag via the DOI in this record.The aim of the current study was to use fMRI to examine the neural correlates of engaging in rumination among a sample of remitted depressed adolescents, a population at high risk for future depressive relapse. A rumination induction task was used to assess differences in patterns of neural activation during rumination as compared with a distraction condition among 26 adolescents in remission from major depressive disorder (rMDD) and 15 healthy control adolescents. Self-report depression and rumination as well as clinician-rated depression were also assessed among all participants. All participants recruited regions in the default mode network (DMN), including the posterior cingulate cortex (PCC), medial prefrontal cortex (mPFC), inferior parietal lobe (IPL), and medial temporal gyrus (MTG) during rumination. Increased activation in these regions during rumination was correlated with increased self-report rumination and symptoms of depression across all participants. Adolescents with rMDD also exhibited greater activation in regions involved in visual, somatosensory, and emotion processing when compared to healthy peers. The current findings suggest that during ruminative thought, adolescents with rMDD are characterized by increased recruitment of regions within the DMN and in areas involved in visual, somatosensory, and emotion processing.The current study was funded by UL1TR00050 (PI:Azar for UIC CCTS) Professional Development award, the Klingenstein Third Generation Foundation, The UIC Campus Research Board, and a Varela award from the Mind and Life Institute (awarded to RHJ). ATP and KLB were supported by National Institute of Mental Health Grant T32- MH067631 (Training in the Neuroscience of Mental Health; PI: Mark Rasenick), and SAL was supported by MH091811 and MH101487. The authors have no conflict of interest to disclose