Prevalence of sociodemographic factors in a cohort of diabetes mellitus: A retrospective study

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dc.contributor.authorErandathi, Madurapperumage A.en_NZ
dc.contributor.authorWang, William Yu Chungen_NZ
dc.contributor.authorMayo, Michaelen_NZ
dc.contributor.authorShafiu, Ibrahimen_NZ
dc.coverage.spatialVirtual, Japanen_NZ
dc.date.accessioned2022-11-01T01:24:46Z
dc.date.available2022-11-01T01:24:46Z
dc.date.issued2022en_NZ
dc.description.abstractExploring the sociodemographic factors of a cohort is a vital phase in revealing significant aspects of the societal health status. The health care sector utilises the results of exploratory analysis of the sociodemographic nature to fulfil various purposes such as constructing health care policies, allocating adequate resources, imposing necessary medications and many more. A large and growing body of evidence shows that understanding the pervasiveness of sociodemographic factors: age, ethnicity, gender, reveal crucial information. Therefore, this study aims to disclose the knowledge through analysing the sociodemographic details of a New Zealand diabetes cohort. Diabetes mellitus is a chronic fatal disease that occurs due to the inability to control proper blood sugar levels, which causes multitudinous acute and chronic complications. Diabetes became a high prevalence disease in the region of Waikato. Analysing the cohort of diabetes patients associated with complications of diabetes illustrate the prevalence of complications of diabetes among the patients. The dataset of the study has been collected from the Waikato district health board. This study intends to report the initial scanning of the dataset profile with visualising the resulting patterns of sociodemographic details from the samples and their association with complications of diabetes. The Sankey diagrams use to visualise the results of exploratory data analysis. The resulted graphs of the data screening descriptively illustrate the characteristics of the cohort associated with demographic factors. Maori population shows higher percentage (0.68) of diabetes patients than the other ethnicities, while having narrower age expansion (13-95) with early onset age, compared to others (20-103). Males (0.61%) are more vulnerable to diabetes than females (0.55%). Additionally, hypertension and cardiovascular diseases are common among the diabetes patients’ in the Waikato region. Maori male population is highly vulnerable to diabetes. This study will be beneficial in constructing and analysing the demographical categories of the cohort to comparatively study the pervasiveness of the diseases among resulting classes.
dc.format.mimetypeapplication/pdf
dc.identifier.doi10.1145/3545729.3545768en_NZ
dc.identifier.isbn9781450396301en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/15310
dc.language.isoen
dc.publisherACMen_NZ
dc.relation.isPartOfProceedings of 6th International Conference on Medical and Health Informaticsen_NZ
dc.rights© 2022 Copyright held by the author(s).
dc.sourceICMHI 2022en_NZ
dc.subjectcomplications of diabetesen_NZ
dc.subjectcomputer scienceen_NZ
dc.subjectdiabetes mellitusen_NZ
dc.subjectexploratory data analysisen_NZ
dc.subjectsociodemographic featuresen_NZ
dc.titlePrevalence of sociodemographic factors in a cohort of diabetes mellitus: A retrospective studyen_NZ
dc.typeConference Contribution
pubs.begin-page193
pubs.elements-id270288
pubs.end-page197
pubs.finish-date2022-05-14en_NZ
pubs.organisational-group/Waikato
pubs.organisational-group/Waikato/2026 PBRF
pubs.organisational-group/Waikato/DHECS
pubs.organisational-group/Waikato/DHECS/2026 PBRF - DHEC
pubs.organisational-group/Waikato/DHECS/SCMS
pubs.organisational-group/Waikato/DHECS/SCMS/2026 PBRF - SCMS
pubs.organisational-group/Waikato/DMGT
pubs.organisational-group/Waikato/DMGT/2026 PBRF - DMGT
pubs.organisational-group/Waikato/DMGT/SMMS
pubs.organisational-group/Waikato/DMGT/SMMS/2026 PBRF - SMMS
pubs.organisational-group/Waikato/DMGT/SMMS/SMMS Academic
pubs.publication-statusPublisheden_NZ
pubs.start-date2022-05-12en_NZ
pubs.user.infoWang, Yu Chung (william.wang@waikato.ac.nz)
pubs.user.infoMayo, Michael (michael.mayo@waikato.ac.nz)
uow.verification.statusverified
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