Study shows asthma-related Twitter posts can predict rise in hospital visits – EurekAlert (press release)

Study shows asthma-related Twitter posts can predict rise in hospital visits
EurekAlert (press release)
For the study, "The Twitter Asthma Pulse: Using Real-Time Twitter Data to Prospectively Predict Asthma Emergency Department Visits or Hospital Admissions in a Population," researchers collected tweets posted between October 2013 and June 2014 and …

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Study shows asthma-related Twitter posts can predict rise in hospital visits – Science Codex

Study shows asthma-related Twitter posts can predict rise in hospital visits
Science Codex
For the study, "The Twitter Asthma Pulse: Using Real-Time Twitter Data to Prospectively Predict Asthma Emergency Department Visits or Hospital Admissions in a Population," researchers collected tweets posted between October 2013 and June 2014 and …

and more »

View full post on asthma – Google News

California researchers receive $6M grant to predict kids’ asthma attacks with … – MobiHealthNews


MobiHealthNews

California researchers receive $6M grant to predict kids' asthma attacks with
MobiHealthNews
Asthma is the most common chronic condition in children, and it weighs heavily on the nation in terms of public health, medical costs and quality of life,” Alex Bui, the principal investigator and a professor of radiological sciences at the David
$6M to help kids cope with asthmaHealthcare IT News
Using Smart Devices and Wearables to Tackle Childhood AsthmamHealthIntelligence.com

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UCLA–USC team to develop tech to predict kids’ asthma attacks – University of California


University of California

UCLA–USC team to develop tech to predict kids' asthma attacks
University of California
The platform will incorporate information about children's health with current data on weather conditions, air quality, pollen count and other factors that could trigger asthma attacks. A team of UCLA and USC researchers has been awarded $6 million by
$6 million grant will help UCLA–USC team develop kid-friendly technology to UC Los Angeles
Could Smart Devices Alert Children About Asthma Triggers?Healthcare Informatics

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Beliefs about medication predict the misattribution of a common symptom as a medication side effect – Evidence from an analogue online study.

Related Articles

Beliefs about medication predict the misattribution of a common symptom as a medication side effect – Evidence from an analogue online study.

J Psychosom Res. 2015 Oct 13;

Authors: Heller MK, Chapman SC, Horne R

Abstract
OBJECTIVE: Some perceived medication side effects may be ‘normal’ symptoms that patients misattribute to the medication. Using an analogue approach, we tested if medication beliefs predict whether participants misattribute a headache as a side effect and subsequently intend to stop medication.
METHODS: We recruited 690 participants, 223 reporting a past asthma diagnosis. They received information about asthma and Molair, a fictitious asthma treatment modeled on a licensed treatment (montelukast). We varied the description of efficacy and side effects (which did not include headache). Pre-exposure to this information, participants completed the Beliefs about Medicine Questionnaire (BMQ)-General and the Perceived Sensitivity to Medicines Scale (PSM), post-exposure they completed the BMQ-Specific. Participants were asked to imagine they experienced a headache while taking Molair. Finally, they rated whether the headache was a side effect (misattribution) and if they would stop taking Molair (behavioral intention).
RESULTS: Nearly a quarter (170) of participants misattributed the headache to Molair and 69 (10%) subsequently intended to stop Molair. Both outcomes were predicted by general and specific medication beliefs. Odds of misattribution (m) and behavioral intention (i) increased with higher General Harm (ORm=1.90, ORi=2.72), General Overuse (ORm=1.74, ORi=1.56) and Molair Concern beliefs (ORm=1.52, ORi=1.78, all p<.01), but decreased with General Benefit (ORm=0.72, ORi=0.53) and Molair Necessity beliefs (ORm=0.72, ORi=0.70, all p<.05).
CONCLUSION: Symptom misattribution and subsequent intentions to stop Molair were predicted by pre-exposure beliefs about medicines in general and post-exposure beliefs about Molair. Patients with negative medication beliefs may be prone to misattribute symptoms and subsequently stop medication.

PMID: 26519128 [PubMed – as supplied by publisher]

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How gut bacteria can predict asthma in children – Quartz


NPR

How gut bacteria can predict asthma in children
Quartz
When they crunched the data, they found that those who had less amounts of four types of bacteria—Lachnospira, Veillonella, Faecalibacterium, and Rothia—at three months old went on to show early signs of asthma, such as wheezing and skin allergies, …
Missing Microbes Provide Clues About Asthma RiskNPR
Certain gut bacteria may be tied to asthma risk in babiesWashington Post
'Good bacteria' key to stopping asthmaBBC News
The Verge
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Type 5 and 6 nasal septal deformities: Could we predict and prevent acute coronary syndrome attacks in the future?

Type 5 and 6 nasal septal deformities: Could we predict and prevent acute coronary syndrome attacks in the future?

Med Hypotheses. 2015 Aug 7;

Authors: Mladina R, Skitareli? N, Cari? T, Raguž M

Abstract
Undisturbed nasal breathing is essential for normal breathing physiology as a whole. Nasal septal deformities (NSD) are well known as a factor which can remarkably and substantially affect the quality of nasal and pulmonary breathing. However, it is well known that type 5 and type 6 nasal septal deformities may cause only a moderate, unilateral nasal obstruction or none at all. The effects of nasal obstruction on the respiratory and cardiovascular systems have been well studied so far: right ventricle problems, ischemic heart diseases, sleep disorders, mucociliary clearance system disturbances, paranasal sinus pathology, have all been described as a result of impaired nasal breathing. The connection between the upper and lower respiratory systems has been recognized in allergic rhinitis and asthma as well, resulting in the united airways concept. Most recently, the ostensible connection between chronic rhinosinusitis (CRS) and acute myocardial infarction has been said to be proven. However, the results of this study might have not been well founded since there are no direct and clear proofs that CRS as a chronic inflammatory process has anything to do with the acute coronary syndrome (ACS). On the other hand, a large international study on the incidence of NSD in CRS patients, based on the Mladina classification, showed that NSD were present in a high incidence and that the most frequent deformities were types 5 (36.18%) and 7 (29.92%). The vast majority of those types 7 consisted of types 3 and (again) types 5 or types 6 (76.32%). The fact that in CRS patients a remarkably high incidence of type 5 septal deformity can be seen, gives rise to thinking that this factor perhaps plays a role in the onset of ACS. Acute coronary syndrome is one of the leading causes of death all over the world. Traditional risk factors such as family history, overweight body, smoking, stress, hypertension, hypercholesterolemia, diabetes mellitus, coronary artery calcium score, C-reactive protein, lipoprotein, homocysteine, lipoprotein-associated phospholipase A2, as well as high-density lipoprotein functionality perhaps cannot account for the entire risk for incident coronary events. Several other potential risk factors have been identified in an effort to improve risk assessment for ACS. This article reviews one of them: the possible influence of an unusual, so far unknown predisposing factor: type 5 or type 6 nasal septal deformities. They have been found as pure, isolated types or as a part of combined nasal septal deformity (type 7).

PMID: 26277657 [PubMed – as supplied by publisher]

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