Abstracts / 26th International Congress

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London, United Kingdom; ³Imperial College Business School, Imperial College .... ²Faculty of Medicine, J.J. Strossmayer University of Osijek, Osijek, Croatia;.
VOLUME 48 / SUPPLEMENT 60 / SEPTEMBER 2016

Abstracts / 26th International Congress London, United Kingdom 4 – 7 September 2016

Online ISSN: 1399-3003

Copyright for individual abstracts remains with the authors. This abstract supplement has been produced electronically by the European Respiratory Society. The European Respiratory Society is not responsible for errors or omissions in content. The ideas and opinions expressed in this publication do not necessarily reflect those of Coe-Truman and the European Respiratory Society. Products mentioned in this publication should not be construed as an endorsement of the product or the manufacturer’s claims. Readers are encouraged to contact the manufacturer with any questions about the features or limitations of the products mentioned. The European Respiratory Society assumes no responsibility for any injury and/or damage to persons or property arising out of or related to any use of the material contained in these abstracts. The reader is advised to check the appropriate medical literature and the product information currently provided by the manufacturer of each drug to be administered to verify the dosage, the method and duration of administration, or contraindications. It is the responsibility of the treating physician or other health care professional, relying on independent experience and knowledge of the patient, to determine drug dosages and the best treatment for the patient. An effort has been made to check generic and trade names, and to verify drug doses. The ultimate responsibility, however, lies with the prescribing physician. Please convey any errors to [email protected]. Citations should be made in the following way: Authors. Title. Eur Respir J 2016; 48: Suppl. 60, abstract number.

ERS International Congress 2016 Your personal abstract book

Table Of Content 558. New approaches and finding in smoking cessation

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OA3497: Smoking cessation using the gamification of mHealth apps: A longitudinal qualitative study

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OA3498: Smoking prevention using experiential learning in children aged 5-9 yo

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OA3499: Acute effect of smoking and its abstinence on dietary intake and appetite

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OA3500: Weighted smoking score: Measuring the benefits of quitting smoking in COPD

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OA3501: A follow-up study (MARKO) supports the need to change the diagnostic criteria for COPD

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OA3502: Dynamics of exhaled breath temperature (EBT) after a smoked cigarette

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OA3503: Effects of sodium hypochlorite and cigarette smoke on lung function and behavior of Wistar rats

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Eur Respir J 2016; 48: Suppl. 60

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ERS International Congress 2016 Your personal abstract book

558. New approaches and finding in smoking cessation OA3497 Smoking cessation using the gamification of mHealth apps: A longitudinal qualitative study Yusuf Sherwani¹, Mohammed Muntasir¹, Maroof Ahmed¹, Abdulrahman ElHilly¹, Sheeraz Iqbal¹, Sarim Siddiqui¹, Zaid Al-Fagih¹, Andreas Eisingerich³, Omar Usmani² ¹Faculty of Medicine, Imperial College London, London, United Kingdom; ²Airway Disease, Imperial College London and Royal Brompton Hospital, London, United Kingdom; ³Imperial College Business School, Imperial College London, London, United Kingdom Introduction Incorporating 'gaming' elements (gamification) as behaviour rewards into mHealth apps is becoming popular. We assessed the effect of the gamification of mHealth on health behaviour, specifically as an adjunct to smoking cessation therapies. Methods In a qualitative longitudinal-study,16 active smokers were divided into 2 cohorts: cohort-A used a gamified app, cohort-B used a non-gamified app. All participants underwent 4 semistructured interviews over a period of 5 weeks. We triangulated three further data sources to increase the validity of our primary dataset: a systematic literature review, expert interviews, and a secondary dataset. Results We observed, 'perceived behavioural control' and 'intrinsic motivation' acted as positive drivers to game engagement, and subsequently positive health behaviour. External social influences exerted a negative effect. We identified three critical factors, whose presence was necessary for game engagement; purpose, user alignment, and functional utility. We developed these findings into a framework, which we propose to guide the future development of gamified mHealth interventions.

Conclusion Gamification holds potential for highly effective mHealth solutions with widespread reach that may replace or supplement the behavioural support component found in current smoking cessation programmes.

OA3498 Smoking prevention using experiential learning in children aged 5-9 yo Dimitra Mpousiou⁶, Theodora Katsaounou², Michalis Toumpis³, Areti Karathanasi², Anna Karakatsani⁴, Christina Gratziou⁵, Spyridon Zakynthinos¹, Paraskevi Katsaounou¹ ¹Pulmonary Dept ICU, E.K.P.A., Athens, Greece; ²Institute of Educational Policy, Ministry of Education, Athens, Greece; ³Pulmonary Dept, Sotiria Hospital, Athens, Greece; ⁴Pulmonary Dept, Attiko Hospital, Athens, Greece; ⁵Pulmonary Dept, Evgenideio Hospital, Athens, Greece; ⁶Pulmonary Dept, IKA, Athens, Greece It is well established that attitudes and behaviors are strongly tied to childhood. The use of conventional teaching techniques as speeches and anti-smoking campaigns have been instrumental in shaping smoking attitudes but showed poor outcomes in smoking prevention among teenagers. In contrast experiential learning has proven helpful in improving outcomes and motivating pupils. We aim to investigate children's perceptions towards healthy habits especially smoking and then subsequently reinforce their positive perceptions/attitudes through experiential learning. Hitherto, we visited 20 Nursery Schools and 25 Primary Schools in Athens; about 900 children benefited. We wrote and illustrated specifically “The fairy tale of breath” and engaged children in 5 activities (brainstorming, tale narration, role playing, singing, self expression) with much emphasis on making them active learners so as to convey knowledge and positive attitude towards good health and resist peer pressure.In order to evaluate what the children have internalized, we encouraged them to draw

items of admiration and dislike. Repeated patterns are identified and critical understanding of children's creations is developed. In addition the colors used were correlated with positive or negative healthy or smoking habits/behaviors. We found that 87% of children understood the importance of keeping healthy lungs as expressed both verbally and in drawings. Those findings confirmed the paramount importance of experiential learning as a strategic tool for identifying and eventually adapting healthy habits and avoiding smoking initiation. However these interventions should be repeated regularly as children grow up in order to establish these attitudes.

OA3499 Acute effect of smoking and its abstinence on dietary intake and appetite Konstantina Zachari¹, Costas A. Anastasiou¹, Maria Sidiropoulou¹, Paraskevi Katsaounou², Roxani Tenta¹, Mary Yannakoulia¹ ¹Dietetics and Nutritional Science, Harokopio University, Athens, Greece; ²Medical School, University of Athens, Athens, Greece Introduction: Smoking and its cessation are related to weight change. Those who manage to stop smoking increase their weight, while current smokers are less likely to be obese than non-smokers. Aims and objectives: The aim of this study was to examine the acute effect of smoking and its abstinence on dietary intake, subjective feelings and hormones related to appetite. Methods: A randomized crossover study was conducted. 14 healthy males participated in two trials after overnight abstinence from smoking and food: the C-cig, where they smoked two cigarettes of their brand and the S-sham (control) where they held the cigarette as smoking without lighting it. Each trial lasted 15 min and after 45 min participants consumed ad libitum a variety of snacks. Dietary intake and at standard time points (t=0, t=60, t=150) appetite feelings (hunger, satiety, desire to eat) and craving for smoking were recorded . Blood samples were collected and analyzed for obestatin, ghrelin, GLP-1, CCK and insulin. Results: Smoking had an acute effect on dietary intake, reducing it by 152 kcal (p=0.01). Τhere was no intervention effect for taste preference (p=0.299) (sweet or salty foods) or macronutrient intake. An intervention time effect on plasma ghrelin concentration was found (p=0.06), with ghrelin's concentration being lower 60 min after S-sham. There was no intervention effect for appetite feelings, obestatin, CCK, GLP-1 and insulin. Conclusions: Smoking had an acute effect on energy intake that could be mediated by alterations in ghrelin levels. Further research is needed to investigate other potential biological mediators.

OA3500 Weighted smoking score: Measuring the benefits of quitting smoking in COPD Lucretia Udrescu¹, Mihai Udrescu², Stefan Mihaicuta³ ¹Faculty of Pharmacy, "Victor Babes" University of Medicine and Pharmacy Timisoara, Timisoara, Timis, Romania; ²Department of Computers, Politehnica University of Timisoara, Timisoara, Timis, Romania; ³Faculty of Medicine, "Victor Babes" University of Medicine and Pharmacy Timisoara, Timisoara, Timis, Romania Introduction. The smoking score (SS), clinically known as pack-years (Prignot, J. Eur J Respir Dis 1987; 70:1–7), is used in order to account for the effects of readymade cigarettes smoking. Objectives. For a person that quits smoking, SS is the same as the score during the smoking period. Therefore, SS does not reflect the benefits of quitting smoking. To address this drawback, we propose the weighted smoking score (WSS) which, for a smoking person, is the same as the SS, but for a person that had quit smoking decreases over time. Methods. We analyze a database of 428 COPD consecutive patients from Timisoara “Victor Babes” Hospital (Oct 2014 – Nov 2015) that records spirometry, anthropometric parameters, history of smoking, comorbidities, and the number of years since quitting smoking (NYQ). The WSS is calculated as WSS=SS2/(SS+NYQ). Results. The WSS computed for the patients in our database is correlated with SS (Figure 1a), thus is similar to SS in characterizing smokers. Moreover, WSS uncovers a new ex-smokers phenotype, consisting of patients with WSS