Self-reported Diabetes in Portugal and its association with health-related quality of life and medical resources consumption using a nationwide prospective cohort

Detalhes bibliográficos
Autor(a) principal: Lopes, Vanessa Sofia Salgueiro
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/54226
Resumo: Trabalho de projeto de mestrado, Bioestatística, Universidade de Lisboa, Faculdade de Ciências, 2022
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spelling Self-reported Diabetes in Portugal and its association with health-related quality of life and medical resources consumption using a nationwide prospective cohortDiabetesModelos GEEModelos GLMModelos TobitPrevalenciaTrabalhos de projeto de mestrado - 2022Departamento de Estatística e Investigação OperacionalTrabalho de projeto de mestrado, Bioestatística, Universidade de Lisboa, Faculdade de Ciências, 2022Diabetes is a chronic metabolic disease characterised by high blood glucose levels. It is a major burden on the national healthcare system as it brings serious problems associated with it over time, such as heart, eye, kidney, nerve and blood vessel problems, and can increase the consumption of healthcare resources. Diabetes greatly disrupts the lives of individuals being associated with poorer quality of life and increased early mortality. Therefore, it is important to characterise the Portuguese diabetic population as well as the comorbidities that most often accompany diabetes. (Organization, 2000). This study is part of a project proposed by EpiDoC Unit at Nova Medical School, where a prospective cohort study entitled Epidemiology in chronic diseases (EpiDoC) was developed in 2011. To this end, this study was designed to be representative of the Portuguese adult population. EpiDoC is a prospective closed cohort study, including a nationally representative sample of adults (older than 18 years) who were not institutionalised and lived in private homes in Mainland Portugal and Islands (Ac¸ores and Madeira). The main objective of this project was to characterise the diabetic population in Portuguese adults using the EpiDoC cohort. Data collected at the three follow-up waves were analysed to assess the impact of diabetes on the loss of quality of life and on the consumption of medical resources, namely the occurrence of hospitalisations and the number of medical appointments. The specific objectives were as follows: • To characterise the population regarding self-reported diabetes among Portuguese adults, taking into account the geographical distribution, socio-demographic characteristics and comorbidities associated with the disease. To this end, a broad exploratory analysis was conducted. • To assess the impact of diabetes on quality of life - measured by the EuroQol Five Dimensional Questionnaire score - at each data collection wave, as well as in a longitudinal perspective, in order to assess the evolution of this measure over time. To answer this question, the Tobit regression model was used. • To assess the impact of diabetes on the occurrence of hospital admissions and the number of medical appointments through longitudinal generalized linear models for binary data and counts, respectively. By the analysis of the prevalences, and analysing the responses of individuals in the first wave, it is concluded that there are more diabetic women than men, yet this difference is not significant. Furthermore, there is a higher prevalence of diabetics of Caucasian ethnicity, aged 66 to 75 years and married. Regarding NUTS II, there is a higher proportion of diabetics in the Norte region. Regarding the level of education, there is a higher proportion of diabetics whose schooling varies between 1 and 4 years. However, age may be considered a confounding factor, since there is a higher probability of low levels of education being associated with individuals with a more advanced age. The fact that most diabetics were retired corroborates the idea of age being a confounding factor. With regard to lifestyle habits, we concluded that most diabetics drink alcohol, do not smoke and do exercise. As expected, most diabetics have a Body Mass Index (BMI) corresponding to the obesity category. Finally, high blood pressure proved to be the most prevalent disease in diabetics. Regarding the quality of life models, it decreases with the presence of diabetes. As regards the occurrence of hospital admissions, a first analysis showed that only 14.5% of diabetic individuals had been hospitalized. Through the analysis of the model, concluded that the chance of an individual being hospitalized increases in diabetic patients. With regard to the number of consultations, it was found that diabetes causes the expected number of medical appointments to increase.Antunes, Marília Cristina de Sousa, 1969-Rodrigues, Ana MariaRepositório da Universidade de LisboaLopes, Vanessa Sofia Salgueiro2022-08-30T13:50:00Z202220222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/54226enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T17:00:38Zoai:repositorio.ul.pt:10451/54226Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:05:08.903108Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Self-reported Diabetes in Portugal and its association with health-related quality of life and medical resources consumption using a nationwide prospective cohort
title Self-reported Diabetes in Portugal and its association with health-related quality of life and medical resources consumption using a nationwide prospective cohort
spellingShingle Self-reported Diabetes in Portugal and its association with health-related quality of life and medical resources consumption using a nationwide prospective cohort
Lopes, Vanessa Sofia Salgueiro
Diabetes
Modelos GEE
Modelos GLM
Modelos Tobit
Prevalencia
Trabalhos de projeto de mestrado - 2022
Departamento de Estatística e Investigação Operacional
title_short Self-reported Diabetes in Portugal and its association with health-related quality of life and medical resources consumption using a nationwide prospective cohort
title_full Self-reported Diabetes in Portugal and its association with health-related quality of life and medical resources consumption using a nationwide prospective cohort
title_fullStr Self-reported Diabetes in Portugal and its association with health-related quality of life and medical resources consumption using a nationwide prospective cohort
title_full_unstemmed Self-reported Diabetes in Portugal and its association with health-related quality of life and medical resources consumption using a nationwide prospective cohort
title_sort Self-reported Diabetes in Portugal and its association with health-related quality of life and medical resources consumption using a nationwide prospective cohort
author Lopes, Vanessa Sofia Salgueiro
author_facet Lopes, Vanessa Sofia Salgueiro
author_role author
dc.contributor.none.fl_str_mv Antunes, Marília Cristina de Sousa, 1969-
Rodrigues, Ana Maria
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Lopes, Vanessa Sofia Salgueiro
dc.subject.por.fl_str_mv Diabetes
Modelos GEE
Modelos GLM
Modelos Tobit
Prevalencia
Trabalhos de projeto de mestrado - 2022
Departamento de Estatística e Investigação Operacional
topic Diabetes
Modelos GEE
Modelos GLM
Modelos Tobit
Prevalencia
Trabalhos de projeto de mestrado - 2022
Departamento de Estatística e Investigação Operacional
description Trabalho de projeto de mestrado, Bioestatística, Universidade de Lisboa, Faculdade de Ciências, 2022
publishDate 2022
dc.date.none.fl_str_mv 2022-08-30T13:50:00Z
2022
2022
2022-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/54226
url http://hdl.handle.net/10451/54226
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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