This preprint is under consideration at Population Health Metrics. 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.
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Research
Carol Strong
National Cheng Kung University Hospital
Corresponding Author
ORCiD: https://orcid.org/0000-0002-2934-5382
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Background: A dynamic change in weight over time has been known as an important factor that impacts mortality risk. However, it is currently unknown how the dynamic change of body mass index (BMI) contributes to the cause-specific mortality risk.
Methods: In this cohort study, we obtained data from a large prospective cohort study in Taiwan between 1998 and 2019, which was linked to National Death Registry for death information. The database accumulated 290,279 participants who were born before 1977. We excluded those who were less than 40 years old at 1998 (n=51,731), less than two waves follow-up (n=145,270), and who had ever been diagnosed at baseline with any of the following self-reported conditions: cancer, stroke (n=3392) with a final 89,886 participants.
Results: This study shows that different trajectories are associated with mortality suggests that the mortality risk differs in each trajectory group and in each age and gender stratification. It appears that obesity is a protective factor in cancer-related mortality in females but not in males in the group of old age; low-normal weight is a risk factor in respiratory-related mortality in all participants.
Conclusions: Our findings can be used to define the appropriate BMI in each age and gender groups and thereby earlier health interventions can be taken to avoid mortality.
Keywords
BMI trajectory, all-cause mortality risk, cause-specific mortality
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CURRENT STATUS: Under Review
Version 1
Posted 11 Mar, 2021
No community comments so far
Reviewer #1 agreed
On 14 Mar, 2021
Reviews received
Received 14 Mar, 2021
Reviewers invited
Invitations sent on 13 Mar, 2021
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On 27 Feb, 2021
Editor invited
On 27 Feb, 2021
Editor assigned
On 24 Feb, 2021
First submitted
On 23 Feb, 2021
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Subject Areas
Population Biology
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This preprint is under consideration at Population Health Metrics. 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
Carol Strong
National Cheng Kung University Hospital
Corresponding Author
ORCiD: https://orcid.org/0000-0002-2934-5382
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 Review
Version 1
Posted 11 Mar, 2021
No community comments so far
Reviewer #1 agreed
On 14 Mar, 2021
Reviews received
Received 14 Mar, 2021
Reviewers invited
Invitations sent on 13 Mar, 2021
Submission checks complete
On 27 Feb, 2021
Editor invited
On 27 Feb, 2021
Editor assigned
On 24 Feb, 2021
First submitted
On 23 Feb, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Population Biology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: A dynamic change in weight over time has been known as an important factor that impacts mortality risk. However, it is currently unknown how the dynamic change of body mass index (BMI) contributes to the cause-specific mortality risk.
Methods: In this cohort study, we obtained data from a large prospective cohort study in Taiwan between 1998 and 2019, which was linked to National Death Registry for death information. The database accumulated 290,279 participants who were born before 1977. We excluded those who were less than 40 years old at 1998 (n=51,731), less than two waves follow-up (n=145,270), and who had ever been diagnosed at baseline with any of the following self-reported conditions: cancer, stroke (n=3392) with a final 89,886 participants.
Results: This study shows that different trajectories are associated with mortality suggests that the mortality risk differs in each trajectory group and in each age and gender stratification. It appears that obesity is a protective factor in cancer-related mortality in females but not in males in the group of old age; low-normal weight is a risk factor in respiratory-related mortality in all participants.
Conclusions: Our findings can be used to define the appropriate BMI in each age and gender groups and thereby earlier health interventions can be taken to avoid mortality.
Figure 1
Figure 2
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