29 resultados para Classificació AMS::55 Algebraic topology::55P Homotopy theory


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Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores

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Since 1989, five parliamentary elections have been the stage for the foundation and demise of political parties aspiring to govern the new democratic Polish state. The demise of the AWS before the 2001 elections after ten years of attempts to create a centre-right core party resulted in a new splintering of the right-wing, and the centre-right became again devoid of a pivotal formation. While Eurosceptic parties in average gain 8 percent of the vote, in the 2001 Polish parliamentary elections Eurosceptic parties gained around 20 percent of the vote. In Poland right-wing parties show an unusual propensity for Euroscepticism. The persistence and increased importance of nationalism in Poland, which has prevented the development of a strong Christian democratic party, effectively explains the levels of Euroscepticism on the right. After the autumn 2005 parliamentary elections the national conservative party, Law and Justice, formed a governing coalition with the national Catholic League of Polish Families, creating one of the first Eurosceptic governments. Although this work does not intend to provide a theorisation of party systems development, it shows that the context of European integration fostered nationalists’ divisiveness of, and provoked the splitting of the right the unusual propensity of parties for Euroscepticism makes Poland a paradigmatic case of the kind of conflicts over European integration emerging in Central and Eastern European party systems.

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Thesis submitted to Faculdade de Ciências e Tecnologia from Universidade Nova de Lisboa in partial fulfillment of the requirements for the obtention of the degree of Master of Science in Biotechnology

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Trabalho apresentado no âmbito do Doutoramento em Informática, como requisito parcial para obtenção do grau de Doutor em Informática

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Dissertation submitted in partial fulfillment of the requirements for degree of Master in Statistics and Information Management.

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Etnográfica, 15 (2): 313-336

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

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RESUMO:Introdução: Reviu-se o conhecimento epidemiológico, fisiopatológico e clínico atual sobre a doença coronária, da sua génese até ao evento agudo, o Enfarte Agudo do Miocárdio (EAM). Valorizou-se, em especial, a teoria inflamatória da aterosclerose, que foi objeto de grandes desenvolvimentos na última década. Marcadores de instabilidade da placa aterosclerótica coronária: Aprofundou-se o conhecimento da placa aterosclerótica coronária instável. Descreveram-se detalhadamente os biomarcadores clínicos e laboratoriais associados à instabilidade da placa, com particular ênfase nos mecanismos inflamatórios. Objetivos:Estão divididos em dois pontos fundamentais:(1) Estudar em doentes com EAM a relação existente entre as moléculas inflamatórias: Interleucina-6 (IL-6), Fator de Necrose Tumoral-α (TNF-α) e Metaloproteinase de Matriz-3 (MMP3), não usados em contexto clínico, com um marcador inflamatório já em uso clínico: a Proteína C-Reativa ultrassensível (hs-CRP). Avaliar a relação de todas as moléculas inflamatórias com um biomarcador de lesão miocárdica: a Troponina Cardíaca I (cTnI). (2) Avaliar, no mesmo contexto de EAM, a Resposta de Fase Aguda (RFA) . Pretende-se demonstrar o impacto deste fenómeno, com repercussão clínica generalizada, no perfil lipídico e nos biomarcadores inflamatórios dos doentes. Métodos:(1) Estudo observacional prospetivo de doentes admitidos consecutivamente por EAM (grupo EAM) numa única unidade coronária, após exclusão de trauma ou infeção. Doseamento no sangue periférico, na admissão, de IL-6, TNF-α, MMP3, hs-CRP e cTnI. Este último biomarcador foi valorizado também nos valores séricos obtidos 6-9 horas depois. Procedeu-se a correlação linear (coeficiente de Pearson, de Rho-Spearman e determinação do R2) entre os 3 marcadores estudados com os valores de hs-CRP e de cTnI (valores da admissão e 6 a 9 horas após). Efetuou-se o cálculo dos coeficientes de regressão linear múltipla entre cTnI da admissão e cTnI 6-9h após, com o conjunto dos fatores inflamatórios estudados. (2) Estudo caso-controlo entre o grupo EAM e uma população aleatória de doentes seguidos em consulta de cardiologia, após exclusão de eventos cardiovasculares de qualquer território (grupo controlo) e também sem infeção ou trauma. Foram doseados os mesmos marcadores inflamatórios no grupo controlo e no grupo EAM. Nos dois grupos dosearam-se, ainda, as lipoproteínas: Colesterol total (CT), Colesterol HDL (HDLc), com as suas subfrações 2 e 3 (HDL 2 e HDL3), Colesterol LDL oxidado (LDLox),Triglicéridos (TG), Lipoproteína (a) [Lp(a)], Apolipoproteína A1 (ApoA1), Apolipoproteína B (ApoB) e Apolipoproteína E (ApoE). Definiram-se, em cada grupo, os dados demográficos, fatores de risco clássicos, terapêutica cardiovascular e o uso de anti-inflamatórios. Procedeu-se a análise multivariada em relação aos dados demográficos, fatores de risco e à terapêutica basal. Compararam-se as distribuições destas mesmas caraterísticas entre os dois grupos, assim como os valores séricos respetivos para as lipoproteínas estudadas. Procedeu-se à correlação entre as moléculas inflamatórias e as lipoproteínas, para todos os doentes estudados. Encontraram-se os coeficientes de regressão linear múltipla entre cada marcador inflamatório e o conjunto das moléculas lipídicas, por grupo. Finalmente, efetuou-se a comparação estatística entre os marcadores inflamatórios do grupo controlo e os marcadores inflamatórios do grupo EAM. Resultados: (1) Correlações encontradas, respetivamente, Pearson, Rho-Spearman e regressão-R2: IL-6/hs-CRP 0,549, p<0,001; 0,429, p=0,001; 0,302, p<0,001; MMP 3/hsCRP 0,325, p=0,014; 0,171, p=0,202; 0,106, p=0,014; TNF-α/hs-CRP 0,261, p=0,050; 0,315, p=0,017; 0,068, p=0.050; IL-6/cTnI admissão 0,486, p<0,001; 0,483, p<0,001; 0,236, p<0,001; MMP3/cTnI admissão 0,218, p=0,103; 0,146, p=0,278; 0,048, p=0,103; TNF-α/cTnI admissão 0,444, p=0,001; 0,380, p=0,004; 0,197, p=0,001; IL-6/cTnI 6-9h 0,676, p<0,001; 0,623, p<0,001; 0,456, p<0,01; MMP3/cTnI 6-9h 0,524, p=0,001; 0,149, p=0,270; 0,275, p<0,001; TNF-α/cTnI 6-9h 0,428, p=0,001, 0,452, p<0,001, 0,183, p<0,001. A regressão linear múltipla cTnI admissão/marcadores inflamatórios produziu: (R=0,638, R2=0,407) p<0,001 e cTnI 6-9h/marcadores inflamatórios (R=0,780, R2=0,609) p<0,001. (2) Significância da análise multivariada para idade (p=0,029), IMC>30 (p=0.070), AAS (p=0,040) e grupo (p=0,002). Diferenças importantes entre as distribuições dos dados basais entre os dois grupos (grupo controlo vs EAM): idade (47,95±11,55 vs 68,53±2,70 anos) p<0.001; sexo feminino (18,18 vs 22,80%) p=0,076; diabetes mellitus (9,09% vs 36,84%) p=0,012; AAS (18,18 vs 66,66%) p<0,001; clopidogrel (4,54% vs 66,66%) p=0,033; estatinas (31,81% vs 66,14%) p=0,078; beta-bloqueadores (18,18% vs 56,14%) p=0,011; anti-inflamatórios (4,54% vs 33,33%) p=0,009. Resultados da comparação entre os dois grupos quanto ao padrão lipídico (média±dp ou mediana/intervalo interquartil, grupo controlo vs EAM): CT (208,45±35,03 vs 171,05±41,63 mg/dl) p<0,001; HDLc (51,50/18,25 vs 42,00/16,00 mg/dl) p=0,007; HDL2 (8,50/3,25 vs 10,00/6,00 mg/dl) p=0,292; HDL3 (41,75±9,82 vs 31,75±9,41 mg/dl) p<0,001; LDLox (70,00/22,0 vs 43,50/21,00 U/L) p<0,001; TG (120,00/112,50 vs 107,00/86,00 mg/dl) p=0,527; Lp(a) (0,51/0,73 vs 0,51/0,50 g/L) p=0,854; ApoA1 (1,38±0,63 vs 1,19±0,21 g/L) p=0,002; ApoB (0,96±0,19 vs 0,78±0,28 g/L) p=0,004; ApoE (38,50/10,00 vs 38,00/17,00 mg/L) p=0,574. Nas correlações lineares entre as variáveis inflamatórias e as variáveis lipídicas para todos os doentes, encontrámos uma relação negativa entre IL-6 e CT, HDLc, HDL3, LDLox, ApoA1 e ApoB. A regressão múltipla marcadores inflamatórios/perfil lipídico (grupo controlo) foi: hs-CRP (R=0,883, R2=0,780) p=0,022; IL-6 (R=0,911, R2=0,830) p=0,007; MMP3 (R=0,498, R2=0,248) p=0,943; TNF-α (R=0,680, R2=0,462) p=0,524. A regressão múltipla marcadores inflamatórios/perfil lipídico (grupo EAM) foi: hs-CRP (R=0,647, R2=0,418) p=0,004; IL-6 (R=0,544, R2=0,300), p=0,073; MMP3 (R=0,539, R2=0,290) p=0,089; TNF-α (R=0,595; R2=0,354) p=0,022. Da comparação entre os marcadores inflamatórios dos dois grupos resultou (mediana/intervalo interquartil, grupo controlo vs EAM): hs-CRP (0,19/0,27 vs 0,42/2,53 mg/dl) p=0,001, IL-6 (4,90/5,48 vs 13,07/26,41 pg/ml) p<0,001, MMP3 (19,70/13,70 vs 10,10/10,40 ng/ml) p<0,001;TNF-α (8,67/6,71 vs 8,26/7,80 pg/dl) p=0,805. Conclusões: (1) Nos doentes com EAM, existe correlação entre as moléculas inflamatórias IL-6, MMP3 e TNF-α, quer com o marcador inflamatório hs-CRP, quer com o marcador de lesão miocárdica cTnI. Esta correlação reforça-se para os valores de cTnI 6-9 horas após admissão, especialmente na correlação múltipla com o grupo dos quatro marcadores inflamatórios. (2) IL-6 está inversamente ligada às lipoproteínas de colesterol; hs-CRP e IL-6 têm excelentes correlações com o perfil lipídico valorizado no seu conjunto. No grupo EAM encontram-se níveis séricos mais reduzidos para as lipoproteínas de colesterol. Para TNF-α não foram encontradas diferenças significativas entre os grupos, as quais foram observadas para a IL-6 e hs-CRP (mais elevadas no grupo EAM). Os valores de MMP3 no grupo controlo estão mais elevados. ABSTRACT: 0,524, p=0,001; 0,149, p=0,270; 0,275, p<0,001; TNF-α/cTnI 6-9h 0,428, p=0,001, 0,452, p<0,001, 0,183, p<0,001. A regressão linear múltipla cTnI admissão/marcadores inflamatórios produziu: (R=0,638, R2=0,407) p<0,001 e cTnI 6-9h/marcadores inflamatórios (R=0,780, R2=0,609) p<0,001. (2) Significância da análise multivariada para idade (p=0,029), IMC>30 (p=0.070), AAS (p=0,040) e grupo (p=0,002). Diferenças importantes entre as distribuições dos dados basais entre os dois grupos (grupo controlo vs EAM): idade (47,95±11,55 vs 68,53±2,70 anos) p<0.001; sexo feminino (18,18 vs 22,80%) p=0,076; diabetes mellitus (9,09% vs 36,84%) p=0,012; AAS (18,18 vs 66,66%) p<0,001; clopidogrel (4,54% vs 66,66%) p=0,033; estatinas (31,81% vs 66,14%) p=0,078; beta-bloqueadores (18,18% vs 56,14%) p=0,011; anti-inflamatórios (4,54% vs 33,33%) p=0,009. Resultados da comparação entre os dois grupos quanto ao padrão lipídico (média±dp ou mediana/intervalo interquartil, grupo controlo vs EAM): CT (208,45±35,03 vs 171,05±41,63 mg/dl) p<0,001; HDLc (51,50/18,25 vs 42,00/16,00 mg/dl) p=0,007; HDL2 (8,50/3,25 vs 10,00/6,00 mg/dl) p=0,292; HDL3 (41,75±9,82 vs 31,75±9,41 mg/dl) p<0,001; LDLox (70,00/22,0 vs 43,50/21,00 U/L) p<0,001; TG (120,00/112,50 vs 107,00/86,00 mg/dl) p=0,527; Lp(a) (0,51/0,73 vs 0,51/0,50 g/L) p=0,854; ApoA1 (1,38±0,63 vs 1,19±0,21 g/L) p=0,002; ApoB (0,96±0,19 vs 0,78±0,28 g/L) p=0,004; ApoE (38,50/10,00 vs 38,00/17,00 mg/L) p=0,574. Nas correlações lineares entre as variáveis inflamatórias e as variáveis lipídicas para todos os doentes, encontrámos uma relação negativa entre IL-6 e CT, HDLc, HDL3, LDLox, ApoA1 e ApoB. A regressão múltipla marcadores inflamatórios/perfil lipídico (grupo controlo) foi: hs-CRP (R=0,883, R2=0,780) p=0,022; IL-6 (R=0,911, R2=0,830) p=0,007; MMP3 (R=0,498, R2=0,248) p=0,943; TNF-α (R=0,680, R2=0,462) p=0,524. A regressão múltipla marcadores inflamatórios/perfil lipídico (grupo EAM) foi: hs-CRP (R=0,647, R2=0,418) p=0,004; IL-6 (R=0,544, R2=0,300), p=0,073; MMP3 (R=0,539, R2=0,290) p=0,089; TNF-α (R=0,595; R2=0,354) p=0,022. Da comparação entre os marcadores inflamatórios dos dois grupos resultou (mediana/intervalo interquartil, grupo controlo vs EAM): hs-CRP (0,19/0,27 vs 0,42/2,53 mg/dl) p=0,001, IL-6 (4,90/5,48 vs 13,07/26,41 pg/ml) p<0,001, MMP3 (19,70/13,70 vs 10,10/10,40 ng/ml) p<0,001;TNF-α (8,67/6,71 vs 8,26/7,80 pg/dl) p=0,805. Conclusões: (1) Nos doentes com EAM, existe correlação entre as moléculas inflamatórias IL-6, MMP3 e TNF-α, quer com o marcador inflamatório hs-CRP, quer com o marcador de lesão miocárdica cTnI. Esta correlação reforça-se para os valores de cTnI 6-9 horas após admissão, especialmente na correlação múltipla com o grupo dos quatro marcadores inflamatórios. (2) IL-6 está inversamente ligada às lipoproteínas de colesterol; hs-CRP e IL-6 têm excelentes correlações com o perfil lipídico valorizado no seu conjunto. No grupo EAM encontram-se níveis séricos mais reduzidos para as lipoproteínas de colesterol. Para TNF-α não foram encontradas diferenças significativas entre os grupos, as quais foram observadas para a IL-6 e hs-CRP (mais elevadas no grupo EAM). Os valores de MMP3 no grupo controlo estão mais elevados. ------------- ABSTRACT: Introduction: We reviewed the epidemiology, pathophysiology and current clinical knowledge about coronary heart disease, from its genesis to the acute myocardial infarction (AMI). The inflammatory theory for atherosclerosis, which has undergone considerable development in the last decade, was especially detailed. Markers of coronary atherosclerotic vulnerable plaque: The clinical and laboratory biomarkers associated with the unstable coronary atherosclerotic plaque vulnerable plaque are detailed. An emphasis was placed on the inflammatory mechanisms. Objectives: They are divided into two fundamental points: (1) To study in AMI patients, the relationship between the inflammatory molecules: Interleukin-6 (IL-6), Tumor Necrosis Factor-α (TNF-α) and Matrix metalloproteinase-3 (MMP3), unused in the clinical setting, with an inflammatory marker in clinical use: ultrasensitive C-reactive protein (hs-CRP), as well as a biomarker of myocardial injury: cardiac troponin I (cTnI). (2) To study, in the context of AMI, the Acute Phase Response (APR). We intend to demonstrate the impact of that clinical relevant phenomenon in the lipid profile and inflammatory biomarkers of our patients. Methods: (1) Prospective observational study of patients consecutively admitted for AMI (AMI group) in a single coronary care unit, after exclusion of trauma or infection. A peripheral assay at admission for IL-6, TNF-α, MMP3, hs-CRP and cTnI was performed. The latter was also valued in assays obtained 6-9 hours after admission. Linear correlation (Pearson's correlation coefficient, Spearman Rho's correlation coefficient and R2 regression) was performed between the three markers studied and the values of hs-CRP and cTnI (on admission and 6-9 hours after admission). Multiple linear regression was also obtained between cTnI on admission and 6-9h after, with all the inflammatory markers studied. (2) Case-control study between the AMI group and a random population of patients from an outpatient cardiology setting (control group). Cardiovascular events of any kind and infection or trauma were excluded in this group. The same inflammatory molecules were assayed in control and AMI groups. The following lipoproteins were also assayed: total cholesterol (TC), HDL cholesterol (HDLc) and subfractions 2 and 3 (HDL2 and HDL 3), oxidized LDL cholesterol (oxLDL), Triglycerides (TG), Lipoprotein (a) [Lp(a)], Apolipoprotein A1 (apoA1), Apolipoprotein B (ApoB) and Apolipoprotein E (ApoE). Demographics, classical risk factors, cardiovascular therapy and the use of anti-inflammatory drugs were appreciated in each group. The authors conducted a multivariate analysis with respect to demographics, risk factors and baseline therapy. The distribution of the same baseline characteristics was compared between the two groups, as well as the lipoprotein serum values. A correlation was performed between each inflammatory molecule and each of the lipoproteins, for all the patients studied. Multiple linear regression was determined between each inflammatory marker and all the lipid molecules per group. Finally, the statistical comparison between the inflammatory markers in the two groups was performed. Results: (1) The correlation coefficients recorded, respectively, Pearson, Spearman's Rho and regression-R2, were: IL-6/hs-CRP 0.549, p <0.001; 0.429, p=0.001; 0.302, p <0.001; MMP 3/hsCRP 0.325, p=0.014; 0.171, p=0.202; 0.106, p=0.014; TNF-α/hs-CRP 0.261, p=0.050; 0.315, p=0.017; 0.068, p=0.050; IL-6/admission cTnI 0.486, p<0.001; 0.483, p<0.001; 0.236, p<0.001; MMP3/admission cTnI 0.218, p=0.103; 0.146, p=0.278; 0.048, p=0.103; TNF-α/admission cTnI 0.444, p=0.001; 0.380, p=0.004; 0.197, p=0.001; IL-6/6-9 h cTnI 0.676, p<0.001; 0.149, p<0.001; 0.456, p <0.01; MMP3/6-9h cTnI 0.428, p=0.001; 0.149, p<0.001; 0.183, p=0.001; TNF-α/6-9 h cTnI 0.676, p<0,001; 0.452, p<0.001; 0.183, p<0,001. The multiple linear regression admission cTnI/inflammatory markers produced: (R=0.638, R2=0.407) p<0.001 and 6-9 h cTnI/inflammatory markers (R=0.780, R2=0.609) p<0.001. (2) Significances of the multivariate analysis were found for age (p=0.029), IMC>30 (p=0.070), Aspirin (p=0.040) and group (p=0.002). Important differences between the baseline data of the two groups (control group vs AMI): age (47.95 ± 11.55 vs 68.53±12.70 years) p<0.001; gender (18.18 vs 22.80%) p=0.076; diabetes mellitus (9.09% vs 36. 84%) p=0.012; Aspirin (18.18 vs. 66.66%) p<0.001; Clopidogrel (4, 54% vs 66.66%) p=0.033; Statins, 31.81% vs 66.14%, p=0.078, beta-blockers 18.18% vs 56.14%, p=0.011; anti-inflammatory drugs (4.54% vs 33.33%) p=0.009. Significant differences in the lipid pattern of the two groups (mean±SD or median/interquartile range, control group vs AMI): TC (208.45±35.03 vs 171.05±41.63 mg/dl) p<0.001; HDLc (51.50/18.25 vs 42.00/16.00 mg/dl) p=0.007; HDL2 (8.50/3.25 vs 10.00/6.00 mg/dl) p=0.292; HDL3 (41.75±9.82 vs 31.75±9.82 mg/dl) p<0.01; oxLDL (70.00/22.0 vs 43.50/21.00 U/L) p <0.001; TG (120.00/112.50 vs 107.00/86.00 mg/dl) p=0.527; Lp(a) (0.51/0.73 vs 0,51/0.50 g/L) p=0.854; apoA1 (1.38±0.63 vs 1.19±0.21 g/L) p=0.002; ApoB (0.96± 0.39 vs 0.78±0.28 g/L) p=0.004; ApoE (38.50/10,00 vs 38.00 /17,00 mg/L) p=0.574. In the linear correlations between inflammatory variables and lipid variables for all patients, we found a negative relationship between IL-6 and TC, HDLc, HDL3, ApoA1 and ApoB. The multiple linear regression inflammatory markers/lipid profile (control group) was: hs-CRP (R= 0.883, R2=0.780) p=0.022; IL6 (R=0.911, R2=0.830) p=0.007; MMP3 (R=0.498, R2=0.248) p=0.943; TNF-α (R=0.680, R2=0.462) p=0.524. For the linear regression inflammatory markers/lipid profile (AMI group) we found: hs-CRP (R=0.647, R2=0.418) p=0.004; IL-6 (R=0.544, R2=0.300) p=0.073; MMP3 (R=0.539, R2 =0.290) p=0.089; TNF-α (R=0.595, R2=0.354) p=0.022. The comparison between inflammatory markers in both groups (median/interquartile range, control group vs AMI) resulted as: hs-CRP (0.19/0.27 vs 0.42/2.53 mg/dl) p=0.001; IL-6 (4.90/5.48 vs 13.07/26.41 pg/ml) p<0.001; MMP3 (19.70/13.70 vs 10.10/10.40 ng/ml) p<0.001; TNF-α (8.67/6.71 vs 8.26/7.80 pg/dl) p=0.805. Conclusions: (1) In AMI patients there is a correlation between the inflammatory molecules IL-6, TNF-α and MMP3 with both the inflammatory marker hs-CRP and the ischemic marker cTnI. This correlation is strengthened for the cTnI at 6-9h post admission, particularly in the multiple linear regression to the four inflammatory markers studied. (2) IL-6 correlates negatively with the cholesterol lipoproteins. Hs-CRP and IL-6 are strongly correlated to the whole lipoprotein profile. AMI patients display reduced serum lipid levels. For the marker TNF-α no significant differences were found between groups, which were observed for IL-6 and hs-CRP (higher in the AMI group). MMP3 values are higher in the control group.

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J Biol Inorg Chem (2006) 11: 548–558 DOI 10.1007/s00775-006-0104-y

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Dissertação submetida para a obtenção do grau de Doutor em Engenharia Electrotécnica e de Computadores

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Trabalho de Projeto apresentado como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

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ABSTRACT - The problem of how to support “intentions to make behavioural changes” (IBC) and “behaviour changes” (BC) in smoking cessation when there is a scarcity of resources is a pressing issue in public health terms. The present research focuses on the use of information and communications technologies and their role in smoking cessation. It is developed in Portugal after the ratification of WHO Framework Convention on Tobacco Control (on 8 November 2005). The prevalence of smokers over fifteen years of age within the population stood at 20.9% (30.9% for men and 11.8% for women). While the strategy of helping people to quit smoking has been emphasised at National Health Service (NHS) level, the uptake of cessation assistance has exceeded the capacity of the service. This induced the search of new theoretical and practical venues to offer alternative options to people willing to stop smoking. Among these, the National Health Plan (NHP) of Portugal (2004-2010), identifies the use of information technologies in smoking cessation. eHealth and the importance of health literacy as a means of empowering people to make behavioural changes is recurrently considered an option worth investigating. The overall objective of this research is to understand, in the Portuguese context, the use of the Internet to help people to stop smoking. Research questions consider factors that may contribute to “intentions to make behavioural changes” (IBC) and “behavioural changes” (BC) while using a Web-Assisted Tobacco Intervention Probe (WATIP). Also consideration is given to the trade-off on the use of the Web as a tool for smoking cessation: can it reach a vast number of people for a small cost (efficiency) demonstrating to work in the domain of smoking cessation (efficacy)”? In addition to the introduction, there is a second chapter in which the use of tobacco is discussed as a public health menace. The health gains achieved by stopping smoking and the means of quitting are also examined, as is the use of the Internet in smoking cessation. Then, several research issues are introduced. These include background theory and the theoretical framework for the Sense of Coherence. The research model is also discussed. A presentation of the methods, materials and of the Web-Assisted Tobacco Intervention Probe (WATIP) follows. In chapter four the results of the use of the Web-Assisted Tobacco Intervention Probe (WATIP) are presented. This study is divided into two sections. The first describes results related to quality control in relation to the Web-Assisted Tobacco Intervention Probe (WATIP) and gives an overview of its users. Of these, 3,150 answered initial eligibility questions. In the end, 1,463 met all eligibility requirements, completed intake, decided on a day to quit smoking (Dday) and declared their “intentions to make behavioural changes” (IBC) while a second targeted group of 650 did not decide on a Dday. With two quit attempts made before joining the platform, most of the participants had experienced past failures while wanting to stop. The smoking rate averaged 21 cigarettes per day. With a mean age of 35, of the participants 55% were males. Among several other considerations, gender and the Sense of Coherence (SOC) influenced the success of participants in their IBC and endeavour to set quit dates. The results of comparing males and females showed that, for current smokers, establishing a Dday was related to gender differences, not favouring males (OR=0.76, p<0.005). Belonging to higher Socio-economic strata (SES) was associated with the intention to consider IBC (when compared to lower SES condition) (OR=1.57, p<0.001) and higher number of school years (OR=0.70, p<0.005) favoured the decision to smoking cessation. Those who demonstrated higher confidence in their likelihood of success in stopping in the shortest time had a higher rate of setting a Dday (OR=0.51, p<0.001). There were differences between groups in IBC reflecting the high and low levels of the SOC score (OR=1.43, p=0.006), as those who considered setting a Dday had higher levels of SOC. After adjusting for all variables, stages of readiness to change and SOC were kept in the model. This is the first Arm of this research where the focus is a discussion of the system’s implications for the participants’ “intentions to make behavioural changes” (IBC). Moreover, a second section of this study (second Arm) offers input collected from 77 in-depth interviews with the Web-Assisted Tobacco Intervention Probe (WATIP) users. Here, “Behaviour Change” (BC) and the usability of the platform are explored a year after IBC was declared. A percentage of 32.9% of self-reported, 12-month quitters in continuous abstinence from smoking from Dday to the 12-month follow- up point of the use of the Web-Assisted Tobacco Intervention Probe (WATIP) has been assessed. Comparing the Sense of Coherence (SOC) scores of participants by their respective means, according to the two groups, there was a significant difference in these scores of non smokers (BC) (M=144,66, SD=22,52) and Sense of Coherence (SOC) of smokers (noBC) (M=131,51, SD=21,43) p=0.014. This WATIP strategy and its contents benefit from the strengthening of the smoker’s sense of coherence (SOC), so that the person’s progress towards a life without tobacco may be experienced as comprehensible, manageable and meaningful. In this sample the sense of coherence (SOC) effect is moderate although it is associated with the day to quit smoking (Dday). Some of the limitations of this research have to do with self-selection bias, sample size (power) and self-reporting (no biochemical validation). The enrolment of participants was therefore not representative of the smoking population. It is not possible to verify the Web-Assisted Tobacco Intervention Probe (WATIP) evaluation of external validity; consequently, the results obtained cannot be applied generalized. No participation bias is provided. Another limitation of this study is the associated limitations of interviews. Interviewees’ perception that fabricating answers could benefit them more than telling the simple truth in response to questions is a risk that is not evaluated (with no external validation like measuring participants’ carbon monoxide levels). What emerges in this analysis is the relevance of the process that leads to the establishment of the quit day (Dday) to stop using tobacco. In addition, technological issues, when tailoring is the focus, are key elements for scrutiny. The high number of dropouts of users of the web platform mandates future research that should concentrate on the matters of the user-centred design of portals. The focus on gains in health through patient-centred care needs more research, so that technology usability be considered within the context of best practices in smoking cessation.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics