Click here to close now.

SYS-CON MEDIA Authors: Plutora Blog, Bart Copeland, Andreas Grabner, Liz McMillan, Dana Gardner

News Feed Item

Diabetes Distress v. Depression: Are People With Type 2 Being Misdiagnosed?

Treating "Diabetes Distress" Lessens Symptoms of Depression in People With Type 2; Second Study Finds Higher Mortality Rate in People With Type 1 Diabetes Who Report Symptoms of Depression

SAN FRANCISCO, CA -- (Marketwired) -- 06/16/14 -- Researchers have long understood there is a strong association between diabetes and depression. But new research presented at the American Diabetes Association's 74th Scientific Sessions® shows that symptoms of depression in people with type 2 diabetes can be significantly reduced through interventions for "diabetes distress," suggesting that much of what is being labeled as depression may not be a co-morbid psychiatric disorder after all, but rather a reaction to living with a stressful, complex disease that is often difficult to manage.

A second study, of patients with type 1 diabetes, emphasizes the potential importance of treating depressive symptoms regardless of their cause: It found that the greater depressive symptoms a patient reported, the higher that person's mortality risk.

Diabetes distress v. depression

"Because depression is measured with scales that are symptom-based and not tied to cause, in many cases these symptoms may actually reflect the distress that people are having about their diabetes, and not a clinical diagnosis of depression," said lead author Lawrence Fisher, PhD, ABPP, Professor of Family and Community Medicine at the University of California, San Francisco.

Fisher and his team developed measures of diabetes-specific distress that reflect whether a person had been feeling worried about a variety of problems associated with living with their diabetes, such as hypoglycemia. They also asked patients to fill out the Patient Health Questionnaire to measure depressive symptoms. Those who reported high levels of distress and high levels of depressive symptoms were assigned one of three interventions, all of which were designed to reduce the distress associated with managing diabetes, rather than symptoms of depression.

One group took part in an online diabetes self-management program. A second participated in the online program, and received individual assistance to problem solve issues related to their diabetes distress. A third was provided with personalized health risk information and then sent educational material about diabetes through the mail. All groups received personal phone calls during the course of the project.

All three interventions significantly reduced distress as well as depressive symptoms over a 12-month period, and patients maintained those reductions over the course of the study. Overall, 84 percent of those scoring above 10 on the PHQ8 (maximum 27, with 10 being moderate depression) reduced their levels of depression to below 10 following the interventions, Fisher said. Reductions were evenly distributed for all three interventions.

"What's important about this," said Fisher, "is that many of the depressive symptoms reported by people with type 2 diabetes are really related to their diabetes, and don't have to be considered psychopathology. So they can be addressed as part of the spectrum of the experience of diabetes and dealt with by their diabetes care team."

Depressive symptoms associated with higher mortality

A second, unrelated study that analyzed data from a cohort of people with type 1 diabetes in the Pittsburgh area, the Pittsburgh Epidemiology of Diabetes Complications study (EDC), showed why it is so important to recognize depressive symptoms in people living with diabetes: Those who exhibit the highest level of depressive symptoms are most likely to die prematurely.

In this study, the Beck Depression Inventory was used to measure depressive symptoms such as low mood, losing interest in doing things, loss of appetite, feeling worthless and having suicidal tendencies. Participants in the study had been diagnosed with diabetes as children between 1950 and 1980, and were first studied in 1986. They are now in their 25th year of follow-up as part of a large, prospective cohort study.

"For every 1-point increase on the Beck Depression Inventory scale, participants showed a 4-percent increase in risk for mortality -- after controlling for other factors that might increase the risk of death," said Cassie Fickley, the lead author who analyzed these data as part of her PhD degree.

"These data are very consistent with earlier findings from EDC which showed that greater depressive symptomatology predicted the incidence of heart disease in this cohort," said Trevor Orchard, MD, M.Med.Sci., FAHA, FACE, Professor of Epidemiology, Medicine and Pediatrics at the Graduate School of Public Health, University of Pittsburgh, and the EDC study principal investigator.

The earlier analysis was conducted by Cathy Lloyd, PhD, a co-author on the current paper, and currently a senior lecturer at the Open University in the UK. Lloyd noted that "the data are relatively unique as the consequences of depression in type 1 diabetes are an understudied area of research."

The American Diabetes Association is leading the fight to Stop Diabetes® and its deadly consequences and fighting for those affected by diabetes. The Association funds research to prevent, cure and manage diabetes; delivers services to hundreds of communities; provides objective and credible information; and gives voice to those denied their rights because of diabetes. Founded in 1940, our mission is to prevent and cure diabetes and to improve the lives of all people affected by diabetes. For more information please call the American Diabetes Association at 1-800-DIABETES (1-800-342-2383) or visit www.diabetes.org. Information from both these sources is available in English and Spanish.

Contact:
Christine Feheley
(703) 253-4374
Angela
(703) 549-1500, ext. 3425

News Room: June 13-17, 2014
Room S-252
(415) 978-3636

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

Latest Stories
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @Things...
PubNub on Monday has announced that it is partnering with IBM to bring its sophisticated real-time data streaming and messaging capabilities to Bluemix, IBM’s cloud development platform. “Today’s app and connected devices require an always-on connection, but building a secure, scalable solution from the ground up is time consuming, resource intensive, and error-prone,” said Todd Greene, CEO of PubNub. “PubNub enables web, mobile and IoT developers building apps on IBM Bluemix to quickly add sc...
The cloud has transformed how we think about software quality. Instead of preventing failures, we must focus on automatic recovery from failure. In other words, resilience trumps traditional quality measures. Continuous delivery models further squeeze traditional notions of quality. Remember the venerable project management Iron Triangle? Among time, scope, and cost, you can only fix two or quality will suffer. Only in today's DevOps world, continuous testing, integration, and deployment upend...
Data-intensive companies that strive to gain insights from data using Big Data analytics tools can gain tremendous competitive advantage by deploying data-centric storage. Organizations generate large volumes of data, the vast majority of which is unstructured. As the volume and velocity of this unstructured data increases, the costs, risks and usability challenges associated with managing the unstructured data (regardless of file type, size or device) increases simultaneously, including end-to-...
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more. In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, includin...
The excitement around the possibilities enabled by Big Data is being tempered by the daunting task of feeding the analytics engines with high quality data on a continuous basis. As the once distinct fields of data integration and data management increasingly converge, cloud-based data solutions providers have emerged that can buffer your organization from the complexities of this continuous data cleansing and management so that you’re free to focus on the end goal: actionable insight.
Between the compelling mockups and specs produced by your analysts and designers, and the resulting application built by your developers, there is a gulf where projects fail, costs spiral out of control, and applications fall short of requirements. In his session at DevOps Summit, Charles Kendrick, CTO and Chief Architect at Isomorphic Software, will present a new approach where business and development users collaborate – each using tools appropriate to their goals and expertise – to build mo...
Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing...
The Internet of Things (IoT) is causing data centers to become radically decentralized and atomized within a new paradigm known as “fog computing.” To support IoT applications, such as connected cars and smart grids, data centers' core functions will be decentralized out to the network's edges and endpoints (aka “fogs”). As this trend takes hold, Big Data analytics platforms will focus on high-volume log analysis (aka “logs”) and rely heavily on cognitive-computing algorithms (aka “cogs”) to mak...
When it comes to the Internet of Things, hooking up will get you only so far. If you want customers to commit, you need to go beyond simply connecting products. You need to use the devices themselves to transform how you engage with every customer and how you manage the entire product lifecycle. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, will show how “product relationship management” can help you leverage your connected devices and the data th...
In the consumer IoT, everything is new, and the IT world of bits and bytes holds sway. But industrial and commercial realms encompass operational technology (OT) that has been around for 25 or 50 years. This grittier, pre-IP, more hands-on world has much to gain from Industrial IoT (IIoT) applications and principles. But adding sensors and wireless connectivity won’t work in environments that demand unwavering reliability and performance. In his session at @ThingsExpo, Ron Sege, CEO of Echelon...
With several hundred implementations of IoT-enabled solutions in the past 12 months alone, this session will focus on experience over the art of the possible. Many can only imagine the most advanced telematics platform ever deployed, supporting millions of customers, producing tens of thousands events or GBs per trip, and hundreds of TBs per month. With the ability to support a billion sensor events per second, over 30PB of warm data for analytics, and hundreds of PBs for an data analytics arc...
One of the biggest impacts of the Internet of Things is and will continue to be on data; specifically data volume, management and usage. Companies are scrambling to adapt to this new and unpredictable data reality with legacy infrastructure that cannot handle the speed and volume of data. In his session at @ThingsExpo, Don DeLoach, CEO and president of Infobright, will discuss how companies need to rethink their data infrastructure to participate in the IoT, including: Data storage: Understand...
Since 2008 and for the first time in history, more than half of humans live in urban areas, urging cities to become “smart.” Today, cities can leverage the wide availability of smartphones combined with new technologies such as Beacons or NFC to connect their urban furniture and environment to create citizen-first services that improve transportation, way-finding and information delivery. In her session at @ThingsExpo, Laetitia Gazel-Anthoine, CEO of Connecthings, will focus on successful use c...
Sensor-enabled things are becoming more commonplace, precursors to a larger and more complex framework that most consider the ultimate promise of the IoT: things connecting, interacting, sharing, storing, and over time perhaps learning and predicting based on habits, behaviors, location, preferences, purchases and more. In his session at @ThingsExpo, Tom Wesselman, Director of Communications Ecosystem Architecture at Plantronics, will examine the still nascent IoT as it is coalescing, includin...