Search results for "Smoking Prevention"
showing 7 items of 17 documents
Curbing tobacco's toll starts with the professionals: World No Tobacco Day
2005
The Social Nature of Chronic Noncommunicable Diseases and How to Tackle Them Through Communication Technology, Training, and Outreach
2011
As world leaders prepare for the United Nations High Level Meeting on Noncommunicable Diseases, to take place in September 2011, international organizations, nongovernmental organizations, and economic and business fora have created new alliances and initiatives to accelerate research, advocacy, and political commitment. This article argues that the time is propitious to reflect on the social nature of the most common behavioral noncommunicable disease determinants, including tobacco and alcohol use, physical inactivity, and unhealthy diet. Evidence is presented related to the fact that these diseases are profoundly rooted in social and community ties and points to the need for a modern com…
Ungesunder Lebensstil bei Patienten einer psychosomatischen Poliklinik und Konsilambulanz
2014
Patienten mit psychischen Storungen haben ein hoheres Risiko fur die Entwicklung korperlicher Erkrankungen. Als wesentlicher Risikofaktor hierfur gilt ein ungesunder Lebensstil. Um praventive Ansatzpunkte zu finden, untersuchten wir, wie haufig ein ungesunder Lebensstil bei psychosomatischen Patienten vorkommt und wie dieser mit psychischen und somatischen Beschwerden zusammenhangt. Hierzu wurde die klinische Basisdokumentation der Jahre 2009–2011 von n=1 919 ambulanten psychosomatischen Patienten ausgewertet. Korperliche Inaktivitat war mit 62,4% das haufigste Lebensstilrisiko, gefolgt vom Rauchen (33,2%) und Adipositas (17,4%). Alle Lebensstilrisiken waren mit einer hoheren Symptombelastu…
Smoking cessation opportunities in severe mental illness (tobacco intensive motivational and estimate risk — TIMER—): study protocol for a randomized…
2019
There is an increased risk of premature death in people with severe mental illness (SMI). Respiratory disorders and cardiovascular disease are leading causes of increased mortality rates in these patients, and tobacco consumption remains the most preventable risk factor involved. Developing new tools to motivate patients towards cessation of smoking is a high priority. Information on the motivational value of giving the lung age and prevention opportunities is unknown in this high-risk population. In the context of community care, screening and early detection of lung damage could potentially be used, together with mobile technology, in order to produce a prevention message, which may provi…
Smoking and FOS expression from blood leukocyte transcripts in patients with coronary artery disease.
2011
International audience; OBJECTIVE: Analysis of the leukocyte transriptome, in particular the Finkel-Biskis-Jinkins Osteosarcoma (c-Fos) gene, which has a prominent role in inflammation, provides new insights into atherosclerosis mechanisms. Although smoking is a major risk factor, the links between smoking status and coronary artery disease (CAD) remains unclear. We aimed to analyze the relationship between smoking status and c-Fos expression in circulating leukocytes of patients with CAD. METHODS: c-Fos expression was measured by RT-Q-PCR, from blood leukocytes of 239 consecutive patients after acute myocardial infarction (MI). The patients were asked about their smoking status and stratif…
Analysing the Spanish smoke-free legislation of 2006: a new method to quantify its impact using a dynamic model.
2011
Background: There are many models that study aspects of smoking habits: the influence of price, tax, relapse time, and the effects of prohibition. There are also studies examining the effects of the Spanish smoke-free law. We wanted to build a model able to separate the effect of the law from the pre-law evolution of smoking habits. Methods: Using data from the Spanish Ministry of Health and Social Policy, we developed a dynamic model of tobacco use. The model projects the evolution over time of the number of non-smokers, smokers and ex-smokers before 2006. Then, we compared the predictions of the model with data for the years after the law came into force, 2006 and 2009. Results: We show t…