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The Relationship between Lifestyle and Costs Related to Medicine Use in Adults

BACKGROUND: The unhealthy lifestyle is growing and this can have repercussions on health status demanding actions on the occurrence of diseases and leads to increased expenses. OBJECTIVE: To examine the interrelationship between the costs of medicine use and lifestyle behaviors. METHODS: A cohort st...

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Autores principales: Fernandes, Romulo Araujo, Mantovani, Alessandra Madia, Codogno, Jamile Sanches, Turi-Lynch, Bruna Camilo, Pokhrel, Subhash, Anokye, Nana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Cardiologia - SBC 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636366/
https://www.ncbi.nlm.nih.gov/pubmed/30892384
http://dx.doi.org/10.5935/abc.20190049
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author Fernandes, Romulo Araujo
Mantovani, Alessandra Madia
Codogno, Jamile Sanches
Turi-Lynch, Bruna Camilo
Pokhrel, Subhash
Anokye, Nana
author_facet Fernandes, Romulo Araujo
Mantovani, Alessandra Madia
Codogno, Jamile Sanches
Turi-Lynch, Bruna Camilo
Pokhrel, Subhash
Anokye, Nana
author_sort Fernandes, Romulo Araujo
collection PubMed
description BACKGROUND: The unhealthy lifestyle is growing and this can have repercussions on health status demanding actions on the occurrence of diseases and leads to increased expenses. OBJECTIVE: To examine the interrelationship between the costs of medicine use and lifestyle behaviors. METHODS: A cohort study with 118 participants, age around 51.7 ± 7.1 years old. It was collected personal and anthropometric data and information about medicine of continuous use to calculate the costs. Lifestyle variables included habitual physical activity (PA) assessed by pedometer, sedentary behavior by Baecke questionnaire, sleep quality by mini sleep questionnaire and self-report of smoke and alcohol consumption. Statistical analyses were performed by BioEstat (version 5.2) and the significance level set at p-value < 0.05. RESULTS: In 12 months, 62 subjects bought 172 medicines, representing an overall cost of US$ 3,087.01. Expenditures with drugs were negatively related to PA (r = -0.194, p-value = 0.035 and r = -0.281, p-value = 0.002), but positively related with sleep quality (r = 0.299, p-value=0.001 and r = 0.315, p-value = 0.001) and age (r = 0.274, p-value = 0.003). Four multivariate models were executed considering lifestyle behaviors in different moments of cohort and medicine costs, and all these models identify important relationship between lifestyle behaviors with expenditures with drugs. CONCLUSION: Worse sleep quality seems to increase the costs related to medicine use in adults, while obesity and ageing play a relevant role in this phenomenon and alcohol consumption seems a variable with relevant economic impact.
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spelling pubmed-66363662019-07-22 The Relationship between Lifestyle and Costs Related to Medicine Use in Adults Fernandes, Romulo Araujo Mantovani, Alessandra Madia Codogno, Jamile Sanches Turi-Lynch, Bruna Camilo Pokhrel, Subhash Anokye, Nana Arq Bras Cardiol Original Article BACKGROUND: The unhealthy lifestyle is growing and this can have repercussions on health status demanding actions on the occurrence of diseases and leads to increased expenses. OBJECTIVE: To examine the interrelationship between the costs of medicine use and lifestyle behaviors. METHODS: A cohort study with 118 participants, age around 51.7 ± 7.1 years old. It was collected personal and anthropometric data and information about medicine of continuous use to calculate the costs. Lifestyle variables included habitual physical activity (PA) assessed by pedometer, sedentary behavior by Baecke questionnaire, sleep quality by mini sleep questionnaire and self-report of smoke and alcohol consumption. Statistical analyses were performed by BioEstat (version 5.2) and the significance level set at p-value < 0.05. RESULTS: In 12 months, 62 subjects bought 172 medicines, representing an overall cost of US$ 3,087.01. Expenditures with drugs were negatively related to PA (r = -0.194, p-value = 0.035 and r = -0.281, p-value = 0.002), but positively related with sleep quality (r = 0.299, p-value=0.001 and r = 0.315, p-value = 0.001) and age (r = 0.274, p-value = 0.003). Four multivariate models were executed considering lifestyle behaviors in different moments of cohort and medicine costs, and all these models identify important relationship between lifestyle behaviors with expenditures with drugs. CONCLUSION: Worse sleep quality seems to increase the costs related to medicine use in adults, while obesity and ageing play a relevant role in this phenomenon and alcohol consumption seems a variable with relevant economic impact. Sociedade Brasileira de Cardiologia - SBC 2019-06 /pmc/articles/PMC6636366/ /pubmed/30892384 http://dx.doi.org/10.5935/abc.20190049 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivative License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited and the work is not changed in any way.
spellingShingle Original Article
Fernandes, Romulo Araujo
Mantovani, Alessandra Madia
Codogno, Jamile Sanches
Turi-Lynch, Bruna Camilo
Pokhrel, Subhash
Anokye, Nana
The Relationship between Lifestyle and Costs Related to Medicine Use in Adults
title The Relationship between Lifestyle and Costs Related to Medicine Use in Adults
title_full The Relationship between Lifestyle and Costs Related to Medicine Use in Adults
title_fullStr The Relationship between Lifestyle and Costs Related to Medicine Use in Adults
title_full_unstemmed The Relationship between Lifestyle and Costs Related to Medicine Use in Adults
title_short The Relationship between Lifestyle and Costs Related to Medicine Use in Adults
title_sort relationship between lifestyle and costs related to medicine use in adults
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636366/
https://www.ncbi.nlm.nih.gov/pubmed/30892384
http://dx.doi.org/10.5935/abc.20190049
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