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Research article
Seyed Morteza Shamshirgaran
Neyshabur University of Medical Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0001-9786-4419
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Objective
This study aimed to examine the association of Health-Related Quality of Life (HRQOL) and multimorbidity (MM) and its correlates over time in New Zealand.
Methods
People aged 55 years and over were invited to participate in a nationally representative population-based longitudinal study in 2006 and followed up biennially until 2016. GEE models, adjusted for both time-constant and time-varying factors used baseline and five subsequent waves of data, to compare a range of factors related to changes in MM and HRQOL.
Results
At baseline, 957 of the participants were classified as “MM participants”; 570 had two, and the rest had three chronic conditions. The results of the GEE modelling demonstrated that SF12-PCS decreased over time and there was a significant difference in SF12-PCS between MM and Non-MM participants. Having MM was negatively associated with HRQOL-PCS [-3.00 (95%CI -3.60, -2.49); p <0.001)]. Although the results showed an increase in SF12-MCS over time, the score of the mental dimension of HRQOL was lower among MM participants compared to Non-MM participants [-2.60, 95%CI -3.09, -2.11].
Conclusions
According to this longitudinal study, there is an inverse association between MM and one of the most important health outcomes; HRQOL, in older adults.
Keywords
Multimorbidity, Comorbity, GEE modelling, Longitudinal
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Peer Review Timeline
CURRENT STATUS: Under Revision
The most recent version of this article is available here.
No community comments so far
Review #3 received
Received 27 Dec, 2020
Editorial decision: Major revision
On 27 Dec, 2020
Reviewer #3 agreed
On 29 Aug, 2020
Review #2 received
Received 30 Apr, 2020
Review #1 received
Received 31 Mar, 2020
Reviewer #2 agreed
On 29 Mar, 2020
Reviewer #1 agreed
On 25 Mar, 2020
Reviewers invited
Invitations sent on 24 Mar, 2020
Editor assigned
On 24 Mar, 2020
Submission checks complete
On 23 Mar, 2020
Editor invited
On 23 Mar, 2020
Version 1
Posted 08 Jan, 2020
No comments provided
Review #2 received
Received 06 Feb, 2020
Editorial decision: Major revision
On 06 Feb, 2020
Review #1 received
Received 30 Jan, 2020
Reviewers invited
Invitations sent on 08 Jan, 2020
Reviewer #1 agreed
On 08 Jan, 2020
Reviewer #2 agreed
On 08 Jan, 2020
Editor assigned
On 30 Dec, 2019
Submission checks complete
On 29 Dec, 2019
Editor invited
On 29 Dec, 2019
First submitted
On 27 Dec, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Geriatrics & Gerontology
Learn more about our company.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
This preprint is under consideration at BMC Geriatrics. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Seyed Morteza Shamshirgaran
Neyshabur University of Medical Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0001-9786-4419
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Revision
The most recent version of this article is available here.
No community comments so far
Review #3 received
Received 27 Dec, 2020
Editorial decision: Major revision
On 27 Dec, 2020
Reviewer #3 agreed
On 29 Aug, 2020
Review #2 received
Received 30 Apr, 2020
Review #1 received
Received 31 Mar, 2020
Reviewer #2 agreed
On 29 Mar, 2020
Reviewer #1 agreed
On 25 Mar, 2020
Reviewers invited
Invitations sent on 24 Mar, 2020
Editor assigned
On 24 Mar, 2020
Submission checks complete
On 23 Mar, 2020
Editor invited
On 23 Mar, 2020
Version 1
Posted 08 Jan, 2020
No comments provided
Review #2 received
Received 06 Feb, 2020
Editorial decision: Major revision
On 06 Feb, 2020
Review #1 received
Received 30 Jan, 2020
Reviewers invited
Invitations sent on 08 Jan, 2020
Reviewer #1 agreed
On 08 Jan, 2020
Reviewer #2 agreed
On 08 Jan, 2020
Editor assigned
On 30 Dec, 2019
Submission checks complete
On 29 Dec, 2019
Editor invited
On 29 Dec, 2019
First submitted
On 27 Dec, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Geriatrics & Gerontology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
The most recent version of this article is available here.
Objective
This study aimed to examine the association of Health-Related Quality of Life (HRQOL) and multimorbidity (MM) and its correlates over time in New Zealand.
Methods
People aged 55 years and over were invited to participate in a nationally representative population-based longitudinal study in 2006 and followed up biennially until 2016. GEE models, adjusted for both time-constant and time-varying factors used baseline and five subsequent waves of data, to compare a range of factors related to changes in MM and HRQOL.
Results
At baseline, 957 of the participants were classified as “MM participants”; 570 had two, and the rest had three chronic conditions. The results of the GEE modelling demonstrated that SF12-PCS decreased over time and there was a significant difference in SF12-PCS between MM and Non-MM participants. Having MM was negatively associated with HRQOL-PCS [-3.00 (95%CI -3.60, -2.49); p <0.001)]. Although the results showed an increase in SF12-MCS over time, the score of the mental dimension of HRQOL was lower among MM participants compared to Non-MM participants [-2.60, 95%CI -3.09, -2.11].
Conclusions
According to this longitudinal study, there is an inverse association between MM and one of the most important health outcomes; HRQOL, in older adults.
Figure 1
Figure 2
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