Multimorbidity - not just an older person's issue. Results from an Australian biomedical study

Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed multimorbidity across a range of ages so that planners are informed and appropriate prevention programs, management strategies and health service/health car...

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Published inBMC public health Vol. 10; no. 1; p. 718
Main Authors Taylor, Anne W, Price, Kay, Gill, Tiffany K, Adams, Robert, Pilkington, Rhiannon, Carrangis, Natalie, Shi, Zumin, Wilson, David
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 22.11.2010
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Abstract Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed multimorbidity across a range of ages so that planners are informed and appropriate prevention programs, management strategies and health service/health care planning can be implemented. Multimorbidity was assessed across three age groups from data collected in a major biomedical cohort study (North West Adelaide Health Study). Using randomly selected adults, diabetes, asthma, and chronic obstructive pulmonary disease were determined clinically and cardio-vascular disease, osteoporosis, arthritis and mental health by self-report (ever been told by a doctor). A range of demographic, social, risk and protective factors including high blood pressure and high cholesterol (assessed bio-medically), health service use, quality of life and medication use (linked to government records) were included in the multivariate modelling. Overall 4.4% of the 20-39 year age group, 15.0% of the 40-59 age group and 39.2% of those aged 60 years of age or older had multimorbidity (17.1% of the total). Of those with multimorbidity, 42.1% were aged less than 60 years of age. A variety of variables were included in the final logistic regression models for the three age groups including family structure, marital status, education attainment, country of birth, smoking status, obesity measurements, medication use, health service utilisation and overall health status. Multimorbidity is not just associated with older persons and flexible care management support systems, appropriate guidelines and care-coordination programs are required across a broader age range. Issues such as health literacy and polypharamacy are also important considerations. Future research is required into assessing multimorbidity across the life course, prevention of complications and assessment of appropriate self-care strategies.
AbstractList Abstract Background Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed multimorbidity across a range of ages so that planners are informed and appropriate prevention programs, management strategies and health service/health care planning can be implemented. Methods Multimorbidity was assessed across three age groups from data collected in a major biomedical cohort study (North West Adelaide Health Study). Using randomly selected adults, diabetes, asthma, and chronic obstructive pulmonary disease were determined clinically and cardio-vascular disease, osteoporosis, arthritis and mental health by self-report (ever been told by a doctor). A range of demographic, social, risk and protective factors including high blood pressure and high cholesterol (assessed bio-medically), health service use, quality of life and medication use (linked to government records) were included in the multivariate modelling. Results Overall 4.4% of the 20-39 year age group, 15.0% of the 40-59 age group and 39.2% of those aged 60 years of age or older had multimorbidity (17.1% of the total). Of those with multimorbidity, 42.1% were aged less than 60 years of age. A variety of variables were included in the final logistic regression models for the three age groups including family structure, marital status, education attainment, country of birth, smoking status, obesity measurements, medication use, health service utilisation and overall health status. Conclusions Multimorbidity is not just associated with older persons and flexible care management support systems, appropriate guidelines and care-coordination programs are required across a broader age range. Issues such as health literacy and polypharamacy are also important considerations. Future research is required into assessing multimorbidity across the life course, prevention of complications and assessment of appropriate self-care strategies.
Background Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed multimorbidity across a range of ages so that planners are informed and appropriate prevention programs, management strategies and health service/health care planning can be implemented. Methods Multimorbidity was assessed across three age groups from data collected in a major biomedical cohort study (North West Adelaide Health Study). Using randomly selected adults, diabetes, asthma, and chronic obstructive pulmonary disease were determined clinically and cardio-vascular disease, osteoporosis, arthritis and mental health by self-report (ever been told by a doctor). A range of demographic, social, risk and protective factors including high blood pressure and high cholesterol (assessed bio-medically), health service use, quality of life and medication use (linked to government records) were included in the multivariate modelling. Results Overall 4.4% of the 20-39 year age group, 15.0% of the 40-59 age group and 39.2% of those aged 60 years of age or older had multimorbidity (17.1% of the total). Of those with multimorbidity, 42.1% were aged less than 60 years of age. A variety of variables were included in the final logistic regression models for the three age groups including family structure, marital status, education attainment, country of birth, smoking status, obesity measurements, medication use, health service utilisation and overall health status. Conclusions Multimorbidity is not just associated with older persons and flexible care management support systems, appropriate guidelines and care-coordination programs are required across a broader age range. Issues such as health literacy and polypharamacy are also important considerations. Future research is required into assessing multimorbidity across the life course, prevention of complications and assessment of appropriate self-care strategies.
Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed multimorbidity across a range of ages so that planners are informed and appropriate prevention programs, management strategies and health service/health care planning can be implemented. Multimorbidity was assessed across three age groups from data collected in a major biomedical cohort study (North West Adelaide Health Study). Using randomly selected adults, diabetes, asthma, and chronic obstructive pulmonary disease were determined clinically and cardio-vascular disease, osteoporosis, arthritis and mental health by self-report (ever been told by a doctor). A range of demographic, social, risk and protective factors including high blood pressure and high cholesterol (assessed bio-medically), health service use, quality of life and medication use (linked to government records) were included in the multivariate modelling. Overall 4.4% of the 20-39 year age group, 15.0% of the 40-59 age group and 39.2% of those aged 60 years of age or older had multimorbidity (17.1% of the total). Of those with multimorbidity, 42.1% were aged less than 60 years of age. A variety of variables were included in the final logistic regression models for the three age groups including family structure, marital status, education attainment, country of birth, smoking status, obesity measurements, medication use, health service utilisation and overall health status. Multimorbidity is not just associated with older persons and flexible care management support systems, appropriate guidelines and care-coordination programs are required across a broader age range. Issues such as health literacy and polypharamacy are also important considerations. Future research is required into assessing multimorbidity across the life course, prevention of complications and assessment of appropriate self-care strategies.
BACKGROUNDMultimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed multimorbidity across a range of ages so that planners are informed and appropriate prevention programs, management strategies and health service/health care planning can be implemented.METHODSMultimorbidity was assessed across three age groups from data collected in a major biomedical cohort study (North West Adelaide Health Study). Using randomly selected adults, diabetes, asthma, and chronic obstructive pulmonary disease were determined clinically and cardio-vascular disease, osteoporosis, arthritis and mental health by self-report (ever been told by a doctor). A range of demographic, social, risk and protective factors including high blood pressure and high cholesterol (assessed bio-medically), health service use, quality of life and medication use (linked to government records) were included in the multivariate modelling.RESULTSOverall 4.4% of the 20-39 year age group, 15.0% of the 40-59 age group and 39.2% of those aged 60 years of age or older had multimorbidity (17.1% of the total). Of those with multimorbidity, 42.1% were aged less than 60 years of age. A variety of variables were included in the final logistic regression models for the three age groups including family structure, marital status, education attainment, country of birth, smoking status, obesity measurements, medication use, health service utilisation and overall health status.CONCLUSIONSMultimorbidity is not just associated with older persons and flexible care management support systems, appropriate guidelines and care-coordination programs are required across a broader age range. Issues such as health literacy and polypharamacy are also important considerations. Future research is required into assessing multimorbidity across the life course, prevention of complications and assessment of appropriate self-care strategies.
Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed multimorbidity across a range of ages so that planners are informed and appropriate prevention programs, management strategies and health service/health care planning can be implemented. Multimorbidity was assessed across three age groups from data collected in a major biomedical cohort study (North West Adelaide Health Study). Using randomly selected adults, diabetes, asthma, and chronic obstructive pulmonary disease were determined clinically and cardio-vascular disease, osteoporosis, arthritis and mental health by self-report (ever been told by a doctor). A range of demographic, social, risk and protective factors including high blood pressure and high cholesterol (assessed bio-medically), health service use, quality of life and medication use (linked to government records) were included in the multivariate modelling. Overall 4.4% of the 20-39 year age group, 15.0% of the 40-59 age group and 39.2% of those aged 60 years of age or older had multimorbidity (17.1% of the total). Of those with multimorbidity, 42.1% were aged less than 60 years of age. A variety of variables were included in the final logistic regression models for the three age groups including family structure, marital status, education attainment, country of birth, smoking status, obesity measurements, medication use, health service utilisation and overall health status. Multimorbidity is not just associated with older persons and flexible care management support systems, appropriate guidelines and care-coordination programs are required across a broader age range. Issues such as health literacy and polypharamacy are also important considerations. Future research is required into assessing multimorbidity across the life course, prevention of complications and assessment of appropriate self-care strategies.
ArticleNumber 718
Audience Academic
Author Price, Kay
Taylor, Anne W
Pilkington, Rhiannon
Gill, Tiffany K
Carrangis, Natalie
Adams, Robert
Wilson, David
Shi, Zumin
AuthorAffiliation 1 Population Research & Outcome Studies, South Australian Department of Health, Adelaide, Australia
2 Department of Medicine, University of Adelaide, Adelaide, Australia
4 Health Observatory, Queen Elizabeth Hospital, University of Adelaide, Adelaide, Australia
3 School of Nursing & Midwifery, University of South Australia, Adelaide, Australia
5 Health Promotion, South Australian Department of Health, Adelaide, Australia
AuthorAffiliation_xml – name: 4 Health Observatory, Queen Elizabeth Hospital, University of Adelaide, Adelaide, Australia
– name: 5 Health Promotion, South Australian Department of Health, Adelaide, Australia
– name: 2 Department of Medicine, University of Adelaide, Adelaide, Australia
– name: 3 School of Nursing & Midwifery, University of South Australia, Adelaide, Australia
– name: 1 Population Research & Outcome Studies, South Australian Department of Health, Adelaide, Australia
Author_xml – sequence: 1
  givenname: Anne W
  surname: Taylor
  fullname: Taylor, Anne W
  email: anne.taylor@health.sa.gov.au
  organization: Population Research & Outcome Studies, South Australian Department of Health, Adelaide, Australia. anne.taylor@health.sa.gov.au
– sequence: 2
  givenname: Kay
  surname: Price
  fullname: Price, Kay
– sequence: 3
  givenname: Tiffany K
  surname: Gill
  fullname: Gill, Tiffany K
– sequence: 4
  givenname: Robert
  surname: Adams
  fullname: Adams, Robert
– sequence: 5
  givenname: Rhiannon
  surname: Pilkington
  fullname: Pilkington, Rhiannon
– sequence: 6
  givenname: Natalie
  surname: Carrangis
  fullname: Carrangis, Natalie
– sequence: 7
  givenname: Zumin
  surname: Shi
  fullname: Shi, Zumin
– sequence: 8
  givenname: David
  surname: Wilson
  fullname: Wilson, David
BackLink https://www.ncbi.nlm.nih.gov/pubmed/21092218$$D View this record in MEDLINE/PubMed
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2010 Taylor et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright ©2010 Taylor et al; licensee BioMed Central Ltd. 2010 Taylor et al; licensee BioMed Central Ltd.
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Snippet Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed multimorbidity...
Background Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed...
Abstract Background: Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research...
BACKGROUNDMultimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed...
BACKGROUND: Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research assessed...
Abstract Background Multimorbidity, the simultaneous occurrence of two or more chronic conditions, is usually associated with older persons. This research...
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Aged
Asthma
Australia
Chronic diseases
Chronic illnesses
Cohort Studies
Comorbidity
Data collection
Diagnosis
Female
Health aspects
Health services
Health Services - utilization
Humans
Interviews
Interviews as Topic
Male
Marital status
Mental disorders
Mental health
Middle Aged
Morbidity
Quality of Life
Risk factors
Studies
Young Adult
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Title Multimorbidity - not just an older person's issue. Results from an Australian biomedical study
URI https://www.ncbi.nlm.nih.gov/pubmed/21092218
https://www.proquest.com/docview/902192549
https://search.proquest.com/docview/818401701
http://dx.doi.org/10.1186/1471-2458-10-718
https://pubmed.ncbi.nlm.nih.gov/PMC3001730
https://doaj.org/article/c8ebcc38901d4357be310c50f5f62ed1
Volume 10
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