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Background: Bone turnover and metabolic indicators are related to age and gender. Age and gender should be matched in subjects in disease control research of bone turnover and metabolism, but strict matching of gender and age increases the difficulty and cost of the research. Therefore, the aim of this study was to solve it is necessary to strictly match age and gender in clinical research in bone metabolism.
METHODS: A cross-sectional study was conducted from the data were extracted from the HIS of ZhuJiang Hospital. Data relating to seven bone turnover and metabolic indicators from 1036 patients between January 2018 and October 2019 were analyzed.
RESULTS: P1NP, β-CTx and 25(OH)D were significant different in individuals younger than 20 years of age. ALP was significantly higher in those under 20 years of age and lower at age 20-39 compared with other age groups. The concentrations of Ca and P were different among the groups aged 0-19, 20-39, and 40-59 years of age groups but exhibited no difference above 60 years of age. PTH expression was not dependent on age. P1NP, β-CTx and PTH concentrations were not significantly different between the genders within the same age group. ALP was significantly different between genders within the age range 20-59 years. Ca and 25(OH)D were significantly different between the genders for those older than 60. Serum P was significantly different in the two genders for those aged 40-79. Patients received both alfacalcidol and calcium treatment differently from the others in P1NP, β-CTx, Serum Ca, P and ALP.
CONCLUSION: P1NP and β-CTx were highly correlated with age. If these two indictors require analysis in a case control study, the patients and controls should be strictly matched by age under 20 years. The demarcation point for ALP was 40 years of age. Ca and P were strongly recommended strict matching according to age in disease research. The difference in P1NP, β-CTx, 25(OH)D and ALP between genders depends on age differences. Medication history should be considered in bone turnover and metabolic clinical research.
Keywords
bone turnover, bone metabolic, gender, age, children
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CURRENT STATUS: Published
View the published article at BMC Musculoskeletal Disorders.
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Posted 20 Aug, 2020
No community comments so far
Editorial decision: Accept
On 24 Aug, 2020
Editor assigned
On 17 Aug, 2020
Submission checks complete
On 16 Aug, 2020
Editor invited
On 16 Aug, 2020
No comments provided
Editor assigned
On 18 May, 2020
Submission checks complete
On 17 May, 2020
Editor invited
On 17 May, 2020
Version (no preprint)
Posted 27 May, 2020
Editorial decision: Major revision
On 22 Jul, 2020
Review #2 received
Received 15 Jul, 2020
Reviewer #2 agreed
On 13 Jul, 2020
Reviewers invited
Invitations sent on 08 Jul, 2020
Reviewer #1 agreed
On 08 Jul, 2020
Review #1 received
Received 08 Jul, 2020
Editor assigned
On 15 Jun, 2020
Submission checks complete
On 14 Jun, 2020
Editor invited
On 14 Jun, 2020
This version was not preprinted
No comments provided
Editorial decision: Major revision
On 24 Apr, 2020
Reviewer #2 agreed
On 03 Apr, 2020
Review #2 received
Received 03 Apr, 2020
Review #1 received
Received 31 Mar, 2020
Reviewer #1 agreed
On 16 Mar, 2020
Reviewers invited
Invitations sent on 12 Mar, 2020
Editor assigned
On 08 Mar, 2020
Submission checks complete
On 07 Mar, 2020
Editor invited
On 07 Mar, 2020
First submitted
On 05 Mar, 2020
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Subject Areas
Orthopedics
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A new preprint design is coming!
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See the published version of this preprint at BMC Musculoskeletal Disorders.
This is a preprint, 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
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: Published
View the published article at BMC Musculoskeletal Disorders.
Version 3
Posted 20 Aug, 2020
No community comments so far
Editorial decision: Accept
On 24 Aug, 2020
Editor assigned
On 17 Aug, 2020
Submission checks complete
On 16 Aug, 2020
Editor invited
On 16 Aug, 2020
No comments provided
Editor assigned
On 18 May, 2020
Submission checks complete
On 17 May, 2020
Editor invited
On 17 May, 2020
Version (no preprint)
Posted 27 May, 2020
Editorial decision: Major revision
On 22 Jul, 2020
Review #2 received
Received 15 Jul, 2020
Reviewer #2 agreed
On 13 Jul, 2020
Reviewers invited
Invitations sent on 08 Jul, 2020
Reviewer #1 agreed
On 08 Jul, 2020
Review #1 received
Received 08 Jul, 2020
Editor assigned
On 15 Jun, 2020
Submission checks complete
On 14 Jun, 2020
Editor invited
On 14 Jun, 2020
This version was not preprinted
No comments provided
Editorial decision: Major revision
On 24 Apr, 2020
Reviewer #2 agreed
On 03 Apr, 2020
Review #2 received
Received 03 Apr, 2020
Review #1 received
Received 31 Mar, 2020
Reviewer #1 agreed
On 16 Mar, 2020
Reviewers invited
Invitations sent on 12 Mar, 2020
Editor assigned
On 08 Mar, 2020
Submission checks complete
On 07 Mar, 2020
Editor invited
On 07 Mar, 2020
First submitted
On 05 Mar, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Orthopedics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Musculoskeletal Disorders.
Background: Bone turnover and metabolic indicators are related to age and gender. Age and gender should be matched in subjects in disease control research of bone turnover and metabolism, but strict matching of gender and age increases the difficulty and cost of the research. Therefore, the aim of this study was to solve it is necessary to strictly match age and gender in clinical research in bone metabolism.
METHODS: A cross-sectional study was conducted from the data were extracted from the HIS of ZhuJiang Hospital. Data relating to seven bone turnover and metabolic indicators from 1036 patients between January 2018 and October 2019 were analyzed.
RESULTS: P1NP, β-CTx and 25(OH)D were significant different in individuals younger than 20 years of age. ALP was significantly higher in those under 20 years of age and lower at age 20-39 compared with other age groups. The concentrations of Ca and P were different among the groups aged 0-19, 20-39, and 40-59 years of age groups but exhibited no difference above 60 years of age. PTH expression was not dependent on age. P1NP, β-CTx and PTH concentrations were not significantly different between the genders within the same age group. ALP was significantly different between genders within the age range 20-59 years. Ca and 25(OH)D were significantly different between the genders for those older than 60. Serum P was significantly different in the two genders for those aged 40-79. Patients received both alfacalcidol and calcium treatment differently from the others in P1NP, β-CTx, Serum Ca, P and ALP.
CONCLUSION: P1NP and β-CTx were highly correlated with age. If these two indictors require analysis in a case control study, the patients and controls should be strictly matched by age under 20 years. The demarcation point for ALP was 40 years of age. Ca and P were strongly recommended strict matching according to age in disease research. The difference in P1NP, β-CTx, 25(OH)D and ALP between genders depends on age differences. Medication history should be considered in bone turnover and metabolic clinical research.
Figure 1
Figure 2
Figure 3
This is a list of supplementary files associated with this preprint. Click to download.
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