Monday, October 1, 2007
Trouble at Home Boosts Kids' Asthma
Edith Chen and colleagues at the University of British Columbia in Vancouver examined the degree of support that 78 children with asthma received from family and peers. They also looked at social problems, such as crime and violence, in the children's neighborhoods.
They then assessed the children's lung function, asthma symptoms, and certain behaviors that can affect asthma.
The results indicated a correlation between social environment and asthma symptoms and lung function. Children who reported less family support and lived in worse neighborhoods experienced greater asthma symptoms, the team said. Those who reported less family support had poorer lung function.
Further analysis revealed that low levels of family support were associated with greater lung inflammation which, in turn, was associated with poorer asthma outcomes. Family support did not appear to influence behaviors that can affect asthma.
The researchers also concluded that living in worse neighborhoods was associated with higher rates of child smoking and exposure to smoke, which is associated with poorer asthma outcomes.
"Poor family relations may foster psychological experiences with direct physiologic consequences, whereas problematic neighborhoods may operate by providing the role models for maladaptive behaviors," the study authors wrote.
Peer group support had no significant effect on asthma symptoms or lung function. The study was published in the first issue for October of the American Journal of Respiratory and Critical Care Medicine.
But the 'off' switch may reverse the chance of trouble down the road, study says
-- If your toddler is watching a lot of TV, turn it off now and save yourself a lot of trouble later.
That's the conclusion of a new study that suggests that the negative effects of lots of early TV viewing on children can be overcome by limiting viewing before the age of 6.
The study doesn't confirm that television is actually bad for young kids. Nor does it show exactly how much of a cutback would help children exposed to lots of TV early in life. Still, lead author Kamila Mistry, a doctoral candidate at Johns Hopkins Bloomberg School of Public Health, said it makes a strong case for a "significant" difference in behavioral problems in kids depending on their viewing.
"It's never too late," Mistry said. "That's an important message for parents as well as pediatricians, encouraging parents to turn off the TV and think about alternative activities for kids."
Television, of course, has long been blamed for a variety of ills among children, from lethargy and obesity to shortened attention spans. The American Academy of Pediatrics discourages kids under 2 from watching any TV at all, and it says older kids shouldn't watch more than two hours a day.
Why take another look at TV and children? According to Mistry, the new study is unusual, because it followed kids over time -- from 2.5 years to 5.5 years -- and measured the effects of changing levels of TV watching.
The researchers looked at the results of surveys of 2,702 families who enrolled in a national study between 1996 and 1998. The kids were followed from birth to age 5.5.
Twenty percent of parents said their kids watched at least two hours of TV a day at both 2.5 and 5.5 years. Four in 10 children had TVs in their bedrooms at age 5.5.
Even when the researchers adjusted the study results to account for factors such as income and "parental involvement," they found that kids who watched two or more hours of TV daily at both ages were more likely to suffer from sleep, attention and aggressive behavior problems, and "externalizing of problem behaviors." Also, those who watched more TV over time had greater problems dealing with others.
But those children who reduced TV watching between the two ages didn't have a greater likelihood of either social or behavioral problems.
The researchers also found that kids with TVs in their bedrooms were more likely to have sleeping problems.
The findings are published in the October issue of Pediatrics.
The structure of the study didn't allow the researchers to say how much more likely kids were to have problems depending on their viewing habits, Mistry said. She added that it's not a cause-and-effect study. It's possible that behavioral and social problems may contribute to TV viewing, not the other way around, she said.
The study also didn't look at whether the children were watching educational programming, like "Sesame Street," or other programs, such as those geared toward adults.
"I hesitate to say TV is horrible," Mistry said, "but excessive amounts of any activity is probably not good."
Madeline A. Dalton, director of the Hood Center for Families and Children at Dartmouth Medical School, said she's not sure that reducing heavy early exposure to TV will eliminate the risk of problems. She thinks more research is needed to determine that and to figure out if it's possible that "parents may be more likely to sit their children in front of the TV if they have behavioral problems."
However, "time spent watching TV is likely to reduce the amount of time children spend interacting with adults and other children," Dalton said. "Therefore, it is not surprising that this may have an impact on ability to interact socially."
She added: "We are raising our children in a media-saturated world. That's not necessarily a bad thing, but our knowledge of how media affects children -- both in terms of behavior and health -- has clearly lagged behind its use."
Sunday, August 19, 2007
Anxiety - What is an Anxiety Symptom?
A Silent Epidemic among Children
Friday, August 17, 2007
The Use Of Modern Air Purifiers In Today's Home
Tuesday, August 14, 2007
New Nanoparticle Could Provide Simple Early Diagnosis Of Many Diseases
Most people think of hydrogen peroxide as a topical germ killer, but the medicine cabinet staple is gaining steam in the medical community as an early indicator of disease in the body.
The nanoparticle polymer is made of peroxalate esters. A fluorescent dye (pentacene) is then encapsulated into the polymer. When the nano particles bump into hydrogen peroxide, they excite the dye, which then emits photons (or light) that can be detected (Credit: Image courtesy of Georgia Institute of Technology)
Georgia Institute of Technology and Emory University researchers are the first to create a nanoparticle capable of detecting and imaging trace amounts of hydrogen peroxide in animals. The nanoparticles, thought to be completely nontoxic, could some day be used as a simple, all-purpose diagnostic tool to detect the earliest stages of any disease that involves chronic inflammation — everything from cancer and Alzheimer’s to heart disease and arthritis.
The research, lead by the laboratories of Niren Murthy at the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University and Dr. Robert Taylor in the Division of Cardiology at the Emory University School of Medicine, will appear in the October issue of Nature Materials and was funded by the National Science Foundation (NSF) and the National Institutes of Health (NIH).
Hydrogen peroxide is thought to be over-produced by cells at the early stages of most diseases. Because there were previously no imaging techniques available to capture this process in the body, the details of how the hydrogen peroxide is produced and its role in a developing disease must still be determined.
The Georgia Tech and Emory nanoparticles may be the key to better understanding the role of hydrogen peroxide in the progression of many diseases and later play an important diagnostic role, Murthy said.
“These nanoparticles are incredibly sensitive so you can detect nanomolar concentrations of hydrogen peroxide. That’s important because researchers aren’t yet certain what amounts of hydrogen peroxide are present in various diseases,” Murthy said.
The ultimate goal, however, is that the nanoparticles could some day be used as a simple, all-purpose diagnostic tool for most diseases. In the future, the nanoparticle would be injected by needle into a certain area of the body (for instance, the heart). If the nanoparticles encountered hydrogen peroxide, they would emit light. Should a doctor see a significant amount of light activity in the area, the doctor would know that the patient may be presenting early signs of a disease in that area of the body.
The Georgia Tech and Emory nanoparticles penetrate deep tissue and operate at a high wave length, making them sensitive indicators of the presence of hydrogen peroxide produced by any sort of inflammation.
The nanoparticle polymer is made of peroxalate esters. A fluorescent dye (pentacene) is then encapsulated into the polymer. When the nano particles bump into hydrogen peroxide, they excite the dye, which then emits photons (or light) that can be detected in a simple, photon-counting scan.
“It’s using this nanoparticle made of peroxalate esters that allows you to do this three component reaction in vivo. If you were to inject a peroxalate ester and a dye, they would go their own ways once in the body. With the nanoparticles, we can sequester both of these reagents within nanometers of each other, in vivo,” Murthy said.
The goal was to maximize the wavelength of the particles. Wavelength determines the sensitivity in vivo. And if the particle’s wavelength is high enough, it can penetrate the skin and display clearly on a scan.
The research team started with a nanoparticle that was made of dye and filled with peroxide esthers. They later realized that the reverse (a particle made of peroxalate esters and filled with dye) was more effective at imaging hydrogen peroxide, Murthy said.
The group will conduct further tests with the nanoparticles to confirm their safety and effectiveness.
Sunday, July 15, 2007
How to effectively use voice recognition for patient documentation
If you don’t already own a copy of voice recognition software, you probably know someone who does. Some have had great experiences with it, MOST have not. Why?
Voice Recognition Software has come a long way since the early IBM Via Voice and Dragon Naturally Speaking days. But is it there yet? Is it ready to be the documentation solution that you’ve been waiting for all these years? It just might be.
Voice recognition software has been around for longer than you think. Try 1970. It’s sort of one of those technologies that everyone has been waiting for 30 years but it just never really got finished. Like alternative energy cars. However the advancements made in this technology over the past 10 years have been remarkable and more and more products coming to market these days are equipped with voice activation ie. Cell Phones, Cars.
So what does this all mean for healthcare professionals and there endless amounts of paper work? The technology is mature enough to revolutionize your documentation, however it is not for the faint of heart. Do not expect to be able to go to your local computer store pick up a copy of Dragon Naturally Speaking and be able to dictate that 10 page report that night. Your success will be based on these three factors:
Hardware – A powerful computer and a digital quality microphone (usually USB) is your first step to starting out on the right foot. Your computer should be at least a 1 GHz and should have 512MB RAM. A headset microphone or digital array microphone is your best bet. If you’re thinking about using a Tablet PC, Motion Computing’s M1400 has a built-in microphone that works very well.
Training – The reality 9 out of 10 people will not go home and read the entire users manual to learn all the features that the software has to offer. Training from someone who is experienced in using the software is a great way to go. An hour or two will go a long way in getting a good voice profile setup.
Practice – Expect to spend at least 5-10 hours of learning the features, training your profile, making corrections and getting comfortable with using it from day to day.
Taking these simple steps should get you to a level where you will favor voice recognition over typing, and it’s only up from there. The end result of the development of this technology will be a universal profile that will achieve extremely high accuracy with no training at all, meaning anyone can just pick up the microphone and use it. This will then allow for the development of real-time language translators (already in the works).