Assessing the severity of Type 2 diabetes using clinical data-based measures: a systematic review.

AIMS: To identify and critically appraise measures that use clinical data to grade the severity of Type 2 diabetes. METHODS: We searched MEDLINE, Embase and PubMed between inception and June 2018. Studies reporting on clinical data-based diabetes-specific severity measures in adults with Type 2 diabetes were included. We excluded studies conducted solely in participants with other types of diabetes. After independent screening, the characteristics of the eligible measures including design and severity domains, the clinical utility of developed measures, and the relationship between severity levels and health-related outcomes were assessed. RESULTS: We identified 6798 studies, of which 17 studies reporting 18 different severity measures (32 314 participants in 17 countries) were included: a diabetes severity index (eight studies, 44%); severity categories (seven studies, 39%); complication count (two studies, 11%); and a severity checklist (one study, 6%). Nearly 89% of the measures included diabetes-related complications and/or glycaemic control indicators. Two of the severity measures were validated in a separate study population. More severe diabetes was associated with increased healthcare costs, poorer cognitive function and significantly greater risks of hospitalization and mortality. The identified measures differed greatly in terms of the included domains. One study reported on the use of a severity measure prospectively. CONCLUSIONS: Health records are suitable for assessment of diabetes severity; however, the clinical uptake of existing measures is limited. The need to advance this research area is fundamental as higher levels of diabetes severity are associated with greater risks of adverse outcomes. Diabetes severity assessment could help identify people requiring targeted and intensive therapies and provide a major benchmark for efficient healthcare services.

Perceived social support buffers the impact of PTSD symptoms on suicidal behavior: implications into suicide resilience research.

BACKGROUND: A growing body of research has highlighted the importance of identifying resilience factors against suicidal behavior. However, no previous study has investigated potential resilience factors among individuals with Posttraumatic Stress Disorder (PTSD). The aim of this study was to examine whether perceived social support buffered the impact of PTSD symptoms on suicidal behavior. METHODS: Fifty-six individuals who had previously been exposed to a traumatic event and reported PTSD symptoms in the past month (n = 34, 60.7% participants met the full criteria for a current PTSD diagnosis) completed a range of self-report measures assessing PTSD symptoms, perceived social support and suicidal behavior. Hierarchical regression analyses were conducted to examine whether perceived social support moderates the effects of PTSD symptoms on suicidal behavior. RESULTS: The results showed that perceived social support moderated the impact of the number and severity of PTSD symptoms on suicidal behavior. For those who perceived themselves as having high levels of social support, an increased number and severity of PTSD symptoms were less likely to lead to suicidal behavior. CONCLUSIONS: The current findings suggest that perceived social support might confer resilience to individuals with PTSD and counter the development of suicidal thoughts and behaviors. The milieu of social support potentially provides an area of further research and an important aspect to incorporate into clinical interventions for suicidal behavior in PTSD or trauma populations.

An empirical investigation of the effectiveness of the broad-minded affective coping procedure (BMAC) to boost mood among individuals with posttraumatic stress disorder (PTSD).

The broaden-and-build theory postulates that positive emotions broaden people's cognitions and actions, and facilitate the building of personal and social resources which enhance resilience in a range of clinical populations. The Broad-Minded Affective Coping procedure (BMAC) is a recently developed clinical technique which utilizes the recall of positive autobiographical memories and mental imagery to elicit positive affect. This study aims to investigate the ability of the BMAC to boost mood among 50 individuals diagnosed currently (n = 31) or previously (n = 19) with Posttraumatic Stress Disorder (PTSD). To assess mood, a series of Visual Analog Scales (VASs) and Likert scales measuring feelings of sadness, calmness, happiness, hopelessness, defeat and frustration were administrated at baseline, immediately following the completion of the BMAC and two hours and two days afterwards. Participants in the BMAC condition demonstrated greater increases in self-reported levels of positive emotions and greater reductions in self-reported levels of negative emotions following the BMAC technique compared to those in the control condition. The results suggest that the BMAC is a useful clinical technique which can be incorporated into other clinical interventions such as cognitive behavioral therapy to elicit positive affect and promote resilience.