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Interconnection between lifestyle, health, and academic outcomes: an analysis on study habits and well-being

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Summary:Balancing academic demands with personal and professional responsibilities has become an increasingly challenging task, making it difficult to maintain well-being and potentially leading to serious health problems. The stress resulting from these multiple daily tasks, combined with the pressure to perform at high academic levels, directly impacts students’ mental and emotional health, significantly compromising their quality of life. In this work, statistical and clustering techniques are employed to analyze the dataset “Daily Lifestyle and Academic Performance of Students”. The objective of this work is to explore the relationship between students’ daily habits, level of stress, and the impact on academic performance. The results point out that many students have difficulty managing time and maintaining well-being (low-stress levels) with high academic performance since, according to the results, the higher the academic outcome, the higher the student’s stress level.
Main Authors:Azevedo, Beatriz Flamia
Other Authors:Bezerra, Ana J.B.; Sirmakessis, Spiros; Pereira, Ana I.
Subject:Wellness Student performance Stress level Data analysis Machine learning Clustering
Year:2026
Country:Portugal
Document type:conference paper
Access type:restricted access
Associated institution:Instituto Politécnico de Bragança
Language:English
Origin:Biblioteca Digital do IPB
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author Azevedo, Beatriz Flamia
author2 Bezerra, Ana J.B.
Sirmakessis, Spiros
Pereira, Ana I.
author2_role author
author
author
author_facet Azevedo, Beatriz Flamia
Bezerra, Ana J.B.
Sirmakessis, Spiros
Pereira, Ana I.
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
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datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Azevedo, Beatriz Flamia
Bezerra, Ana J.B.
Sirmakessis, Spiros
Pereira, Ana I.
datacite.date.Accepted.fl_str_mv 2026-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2025-12-04T16:00:51Z
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datacite.subjects.subject.fl_str_mv Wellness
Student performance
Stress level
Data analysis
Machine learning
Clustering
datacite.titles.title.fl_str_mv Interconnection between lifestyle, health, and academic outcomes: an analysis on study habits and well-being
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Azevedo, Beatriz Flamia
Bezerra, Ana J.B.
Sirmakessis, Spiros
Pereira, Ana I.
dc.date.Accepted.fl_str_mv 2026-01-01T00:00:00Z
dc.date.available.fl_str_mv 2025-12-04T16:00:51Z
dc.date.embargoed.fl_str_mv 2025-12-04T16:00:51Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/35175
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Springer Nature
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.subject.none.fl_str_mv Wellness
Student performance
Stress level
Data analysis
Machine learning
Clustering
dc.title.fl_str_mv Interconnection between lifestyle, health, and academic outcomes: an analysis on study habits and well-being
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_5794
description Balancing academic demands with personal and professional responsibilities has become an increasingly challenging task, making it difficult to maintain well-being and potentially leading to serious health problems. The stress resulting from these multiple daily tasks, combined with the pressure to perform at high academic levels, directly impacts students’ mental and emotional health, significantly compromising their quality of life. In this work, statistical and clustering techniques are employed to analyze the dataset “Daily Lifestyle and Academic Performance of Students”. The objective of this work is to explore the relationship between students’ daily habits, level of stress, and the impact on academic performance. The results point out that many students have difficulty managing time and maintaining well-being (low-stress levels) with high academic performance since, according to the results, the higher the academic outcome, the higher the student’s stress level.
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person_str_mv Azevedo, Beatriz Flamia
Azevedo, Beatriz Flamia
https://www.ciencia-id.pt/181E-855C-E62C
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Bezerra, Ana J.B.
Bezerra, Ana J.B.
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Sirmakessis, Spiros
Pereira, Ana I.
Pereira, Ana I.
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spelling engSpringer NatureengBalancing academic demands with personal and professional responsibilities has become an increasingly challenging task, making it difficult to maintain well-being and potentially leading to serious health problems. The stress resulting from these multiple daily tasks, combined with the pressure to perform at high academic levels, directly impacts students’ mental and emotional health, significantly compromising their quality of life. In this work, statistical and clustering techniques are employed to analyze the dataset “Daily Lifestyle and Academic Performance of Students”. The objective of this work is to explore the relationship between students’ daily habits, level of stress, and the impact on academic performance. The results point out that many students have difficulty managing time and maintaining well-being (low-stress levels) with high academic performance since, according to the results, the higher the academic outcome, the higher the student’s stress level.application/pdfengInterconnection between lifestyle, health, and academic outcomes: an analysis on study habits and well-beingPersonalAzevedo, Beatriz FlamiaDSpacehttp://dspace.org/items/04fa4023-3726-4dd5-8d97-f6b162ceb820DSpacehttp://dspace.org/items/04fa4023-3726-4dd5-8d97-f6b162ceb820AzevedoBeatriz FlamiaCiência IDhttps://www.ciencia-id.pt181E-855C-E62CORCIDhttp://orcid.org0000-0002-8527-7409PersonalBezerra, Ana J.B.DSpacehttp://dspace.org/items/8a84a0ac-8d0c-40a4-86b9-4be0b1f4f23fDSpacehttp://dspace.org/items/8a84a0ac-8d0c-40a4-86b9-4be0b1f4f23fBezerraAna J.B.Ciência IDhttps://www.ciencia-id.pt341B-2529-1112CeDRI, Instituto Politécnico de BragançaSirmakessis, SpirosPersonalPereira, Ana I.DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846PereiraAna I.Ciência IDhttps://www.ciencia-id.pt0716-B7C2-93E4ORCIDhttp://orcid.org0000-0003-3803-2043Researcher IDhttps://www.researcherid.comF-3168-2010Scopus Author IDhttps://www.scopus.com15071961600HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf9783032001368ISBNIsPartOf9783032001375ISSNIsPartOf1865-0929ISSNIsPartOf1865-0937DOIIsPartOf10.1007/978-3-032-00137-5_142025-12-04T16:00:51Z20262026-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/35175http://purl.org/coar/access_right/c_16ecrestricted accessWellnessStudent performanceStress levelData analysisMachine learningClustering4584790 bytesFundação para a Ciência e a TecnologiaALGORITMI Research Center6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_5794conference paper2026http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/7e8ce9ee-d8fb-4c32-9d4a-2cb2215d66d0/downloadOptimization, Learning Algorithms and Applications: 5th International Conference - Part 1201212
spellingShingle Interconnection between lifestyle, health, and academic outcomes: an analysis on study habits and well-being
Azevedo, Beatriz Flamia
Wellness
Student performance
Stress level
Data analysis
Machine learning
Clustering
status SINGLETON
subject.fl_str_mv Wellness
Student performance
Stress level
Data analysis
Machine learning
Clustering
title Interconnection between lifestyle, health, and academic outcomes: an analysis on study habits and well-being
title_full Interconnection between lifestyle, health, and academic outcomes: an analysis on study habits and well-being
title_fullStr Interconnection between lifestyle, health, and academic outcomes: an analysis on study habits and well-being
title_full_unstemmed Interconnection between lifestyle, health, and academic outcomes: an analysis on study habits and well-being
title_short Interconnection between lifestyle, health, and academic outcomes: an analysis on study habits and well-being
title_sort Interconnection between lifestyle, health, and academic outcomes: an analysis on study habits and well-being
topic Wellness
Student performance
Stress level
Data analysis
Machine learning
Clustering
topic_facet Wellness
Student performance
Stress level
Data analysis
Machine learning
Clustering
url http://hdl.handle.net/10198/35175
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