Arterial distensibility in adolescents: the influence of adiposity, the metabolic syndrome, and classic risk factors.

BACKGROUND: Atherosclerosis develops from childhood, but the determinants of this preclinical stage remain uncertain. We examined the relations of classic coronary risk factors, adiposity and its associated metabolic disturbances, to arterial distensibility (a marker of early arterial disease) in 13- to 15-year-olds, some of whom had previously been studied at ages 9 to 11 years. METHODS AND RESULTS: Brachial artery distensibility was measured by a noninvasive ultrasound technique in 471 British children in whom measures of adiposity, blood pressure, fasting blood lipids, and insulin had been made. All adiposity measures showed strong graded inverse relationships with distensibility. Inverse associations with distensibility were also observed for insulin resistance (homeostasis model assessment), diastolic pressure, C-reactive protein, and the number of metabolic syndrome components present, which had a graded relation to distensibility. Total and LDL cholesterol levels were also inversely related to distensibility, but less strongly than adiposity; homocysteine had no relation to distensibility. Although the relations of total and LDL cholesterol and diastolic pressure to distensibility had been present at 9 to 11 years of age, those of adiposity and insulin resistance were only apparent at 13 to 15 years. CONCLUSIONS: Adiposity and its metabolic consequences are associated with adverse changes in the arterial wall by the teenage years. The graded relation with increasing adiposity was stronger than that for cholesterol and was seen at body mass index levels well below those considered to represent "obesity." This emphasizes the importance of population-based strategies to control adiposity and its metabolic consequences in the young

Anxiety and caffeine consumption in people with anxiety disorders

Forthy-three anxiety disorder patients (DSM-III) who completed the Hopkins Symptom Checklist (SCL-90-R) and a caffeine questionnaire were compared to 124 medical inpatients. Eighty-four percent of the anxious patients were low caffeine consumers (0-249 mg/day) compared to 41% of medical inpatients; 65% of anxiety patients consumed < 100 mg/day. In anxiety patients, there were no significant correlations between subscale scores of the SCL-90-R and amount of caffeine consumption. Patients who consumed < 100 mg/day did not differ on anxiety subscale scores of the SCL-90-R from those who consumed more. However, patients who reported becoming anxious in response to dringking coffee had higher SCL-90-R anxiety subscale scores than patients who did not, even though their daily consumption was not different. It appears that anxiety disorder patients have increased caffeine sensitivity which leads to decreased consumption.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/25630/1/0000180.pd

Chronic caffeine consumption and the dexamethasone suppression test in depression

Acute caffeine administration increases cortisol and converts the dexamethasone suppression test (DST) to nonsuppression in normal humans; data concerning chronic administration as well as effects in depressed patients are minimal. To determine whether caffeine intake influenced DST results in depression, we retrospectively studied the relationship between regular daily caffeine consumption and pretreatment DST status in major depressives. Daily intake was not correlated with either post-DST cortisol levels or symptom ratings. These data suggest that chronic caffeine use is unlikely to be a major factor in dysregulation of the hypothalamic-pituitary-adrenal axis in depression, perhaps because of the development of tolerance.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/27342/1/0000367.pd

Circadian fluctuations in anxiety disorders

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/26184/1/0000263.pd

Circadian symptom fluctuations in people with anxiety disorders

Circadian rhythm abnormalities have been demonstrated in people with depression, including a tendency toward maximal symptom severity in the morning. Although a few studies have suggested that symptoms in people with anxiety are worse later in the day, no detailed study of this observation has been reported. In 86 patients with anxiety disorders (63 with panic disorder or agoraphobia with panic attacks), anxiety symptoms tended to be more severe in the afternoon or evening than in the morning, with no abnormalities of heart rate or oral temperature. This is the first systematic demonstration of a circadian fluctuation of mood in any disorder other than depression.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/25991/1/0000057.pd

Development of an open technology sensor suite for assisted living: a student-led research project.

Many countries have a rapidly ageing population, placing strain on health services and creating a growing market for assistive technology for older people. We have, through a student-led, 12-week project for 10 students from a variety of science and engineering backgrounds, developed an integrated sensor system to enable older people, or those at risk, to live independently in their own homes for longer, while providing reassurance for their family and carers. We provide details on the design procedure and performance of our sensor system and the management and execution of a short-term, student-led research project. Detailed information on the design and use of our devices, including a door sensor, power monitor, fall detector, general in-house sensor unit and easy-to-use location-aware communications device, is given, with our open designs being contrasted with closed proprietary systems. A case study is presented for the use of our devices in a real-world context, along with a comparison with commercially available systems. We discuss how the system could lead to improvements in the quality of life of older users and increase the effectiveness of their associated care network. We reflect on how recent developments in open source technology and rapid prototyping increase the scope and potential for the development of powerful sensor systems and, finally, conclude with a student perspective on this team effort and highlight learning outcomes, arguing that open technologies will revolutionize the way in which technology will be deployed in academic research in the future.This is the final version of the article. It first appeared from Royal Society Publishing via http://dx.doi.org/10.1098/rsfs.2016.001

Inhaled or Ingested, Which Is Worse, E-Vaping or High-Fat Diet?

Long term e-cigarette vaping induces inflammation, which is largely nicotine independent. High-fat diet (HFD) consumption is anoter cause of systemic low-grade inflammation. The likelihood of using e-cigarettes as a weight control strategy is concomitant with the increase in obesity. In Australia, only nicotine-free e-fluid is legal for sale. Therefore, this study aimed to investigate how nicotine-free e-cigarette vapour exposure affects inflammatory responses in mice with long term HFD consumption. Mice were fed a HFD for 16 weeks, while in the last 6 weeks, half of the chow and HFD groups were exposed to nicotine-free e-vapour, while the other half to ambient air. Serum, lung, liver and epididymal fat were collected to measure inflammatory markers. While both e-vapour exposure and HFD consumption independently increased serum IFN-γ, CX3CL1, IL-10, CCL20, CCL12, and CCL5 levels, the levels of IFN-γ, CX3CL1, and IL-10 were higher in mice exposed to e-vapour than HFD. The mRNA expression pattern in the epididymal fat mirrors that in the serum, suggesting the circulating inflammatory response to e-vapour is from the fat tissue. Of the upregulated cytokines in serum, none were found to change in the lungs. The anti-inflammatory cytokine IL-10 was increased by combining e-vapour and HFD in the liver. We conclude that short-term nicotine-free e-vapour is more potent than long term HFD consumption in causing systemic inflammation. Future studies will be needed to examine the long-term health impact of nicotine-free e-cigarettes.</jats:p

Endocrine and physiological changes during "spontaneous" panic attacks

Eight patients with DSM-III-defined panic attacks were compared to four normal subjects on hormonal and physiological variables measured at six predetermined times through 24 hr and also during nine "spontaneous" attacks. Levels at predetermined times were not different, other than a reduction of urinary unconjugated epinephrine in patients. Plasma prolactin was elevated at the peak of most of the attacks and correlated with attack severity. Plasma cortisol and growth hormone, and heart rate, were elevated during some attacks, and plasma norepinephrine showed small increases. Significant plasma epinephrine and MHPG changes were not observed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/26943/1/0000509.pd

Are your covariates under control? How normalization can re-introduce covariate effects

Many statistical tests rely on the assumption that the residuals of a model are normally distributed. Rank-based inverse normal transformation (INT) of the dependent variable is one of the most popular approaches to satisfy the normality assumption. Studies regularly adjust for covariates and then normalize the residuals. This study investigated the effect of regressing covariates against the dependent variable and then applying rank-based INT to the residuals. The correlation between the dependent variable and covariates at each stage of processing was assessed. An alternative approach was tested of applying rank-based INT to the dependent variable before regressing covariates was tested. Analyses based on both simulated and real data examples demonstrated that applying rank-based INT to the dependent variable residuals after regressing out covariates re-introduces a linear correlation between the dependent variable and covariates in almost all situations. This will increase type-1 errors and reduce power. Our proposed alternative approach, where rank-based INT was applied prior to controlling for covariate effects, gave residuals that were normally distributed and linearly uncorrelated with covariates. This approach is therefore recommended

Remission in psoriatic arthritis: is it possible and how can it be predicted?

10.1186/ar3021Arthritis Research and Therapy123R9