Electrophysiology and genetic studies aid in diagnosis. GFS/ESCS is a clinical diagnosis and should be suspected before molecular test. We present a novel mutation for this disease.
  The lifestyle of Inuit in Greenland and worldwide is undergoing a transition from a fisher-hunter to a westernized society and meanwhile the prevalence of type-2 diabetes (T2D) has increased dramatically. Studies have shown that a common nonsense p.Arg684Ter variant in TBC1D4, which is frequent in Greenland, confers genetic susceptibility towards high risk of T2D. The aim of the study is to investigate whether a traditional marine diet, with high fat and low carbohydrate, will improve glycemic control in Greenland Inuit compared to a western diet. Moreover, we want to examine if the response is more pronounced in carriers of the p.Arg684Ter variant.
 
  We will conduct a randomized, clinical cross-over trial with two dietary intervention periods of four weeks duration. The diet intervention comprise provision of >20E% and instruction for the remaining part of the diet. We expect to include 30 homozygous carriers and 30 homozygous non-carriers of the p.Arg684Ter variant, aged 18-80 years, across three Greenlandic towns. The primary outcome is plasma (p)-glucose 2h post an oral glucose tolerance test and we aim to have 80% power, at α=0.05, to detect a difference of 1.1mmol/L. We will also include supporting measures of glucose homeostasis, assess other markers of the metabolic syndrome and perform metabolome and microbiome profiling. The statistical analysis will be performed as complete case analyses using linear mixed models.
 
  The study received approval by the Ethics Committee of Greenland (KVUG 2018-26) and will be disseminated via international peer-reviewed journal articles and conferences.
 
  Clinicaltrials.gov identifier no. NCT04011904.
 Clinicaltrials.gov identifier no. NCT04011904.Wait-list control clinical trials are popular among psychologists and rehabilitation specialists partly because all participants receive the intervention. In 2 arm wait-list control trials, individuals randomized to the treatment group receive immediate treatment whereas individuals randomized to the control group wait a fixed amount of time before intervention is initiated. For interventions that have varying durations, careful consideration must be given to the period that participants in the control group have a delay until treatment begins, as incongruent wait times compared to the intervention durations of the treatment group may introduce confounding into the evaluation of the treatment differences. To alleviate this issue, we propose to adaptively assign wait times to individuals randomized to the control group based on the intervention duration of those in the treatment group. Simulations demonstrate the that our method not only results in similar timing distributions between participants in the treatment and control groups, but also allows participants in the control group to initiate treatment earlier than the traditional design. The latter characteristic may reduce dropout and result in more efficient study enrollment.The quality of life in the workplace can be achieved by creating a place more humanized and strategies that provide wellness to workers. The aim of this study was to investigate the effectiveness of telehealth education program to promote quality of life of office workers.This is a cluster randomized controlled trial (RCT). The participants were office workers computer users (n = 326). All received 9 audiovisual content (grouped into topics musculoskeletal health, healthy diet, and mental health) that addresses the real needs identified by them in the focus groups. The intervention group (n = 178) was instructed to seek the tutor support about topics addressed by the audiovisual content. The primary outcome measure was quality of life by WHOQOL-BREF. The secondary outcome measure was level of physical activity of the participants. Data analysis was performed by General Linear Mixed Model. After six months of telehealth education program a general improvement in health and environmental domain, was observed in the intervention group.  https://www.selleckchem.com/products/sndx-5613.html  During that period, a within-group analysis showed that there was a significant improvement in the intervention group, with respect to quality of life in general health (p 
  The trial was prospectively registered at ClinicalTrial.gov (NCT02980237). The date of registration was August 23, 2016.
 The trial was prospectively registered at ClinicalTrial.gov (NCT02980237). The date of registration was August 23, 2016.
  Posttraumatic stress disorder (PTSD) is a chronic, disabling, and prevalent mental health disorder among Veterans. Despite the availability of empirically supported psychotherapies, many Veterans remain symptomatic after treatment and/or prefer to seek complementary and integrative health approaches, including yoga, to manage PTSD. The randomized controlled trial (RCT) described herein will evaluate the efficacy of a manualized yoga program as compared to nonaerobic exercise in reducing PTSD severity among Veterans. A secondary aim of this study is to better understand the mechanisms of change.
 
  Veterans (
  =192) with PTSD will be randomized to hatha yoga or nonaerobic physical activity control; both groups consist of 12 weekly, 60-min group or online training sessions with 15-20min of daily at-home practice. Outcome measures will be administered at baseline, mid-treatment, posttreatment, and 12-week follow-up.
 
  This study will evaluate changes in PTSD severity (primary outcome) as well as depression, anxms), the Coping Model (i.e., yoga increases distress tolerance, which improves coping, which reduces PTSD symptoms), and the combination of these models. This aspect of the study is innovative and important given the absence of an existing, comprehensive model for understanding yoga's impact on PTSD. Ultimately, we hope to develop guidelines for application of yoga to PTSD recovery.
  Cancer clinical trials (CCT) offer significant potential benefit, not only for future patients but also for enrolled participants, yet a very small minority of cancer patients participate, resulting in low levels of enrollment that have stalled clinical trials dramatically. Though many have endeavored to study this phenomenon, relatively little research has explored the demographic factors which may affect CCT enrollment. Understanding patient demographics is critical to optimizing enrollment, evaluating generalizability, and ensuring equity of CCT.
 
  To better understand the effect of social determinants of health on CCT enrollment, the authors constructed a multivariable logistic regression model to analyze data collected in the last ten years in the CDC Behavioral Risk Factor Surveillance System (BRFSS) Survey, an annual national survey conducted among the non-institutionalized adult population of the U.S.
 
  In multivariable regression analysis, enrollment varied significantly with sociodemographic factors.