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Background: Adiposity plays a crucial role in the risk of osteoporosis. However, the impact of body fat distribution on the skeleton is contentious. The study was designed to explore the association of various adiposity indices on estimated bone mineral density (BMD) and the risk of osteoporosis based on body mass index (BMI), body fat percentage (BFP), waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR), and visceral fat index (VFI). Methods: A total of 8475 subjects derived from the Henan Rural Cohort Study were analyzed. The estimated BMD of study participants were measured by calcaneal quantitative ultrasound (QUS). Linear and binary logistic regression was performed to estimate the association of adiposity and the outcomes. Results: The mean age of the study participants was 55.23 ± 11.09 years and 59.61% were women. The crude and age-standardized prevalence of high risk for osteoporosis was 16.24% and 11.82%. Per unit increment in adiposity indices was associated with 0.005-0.021 g/cm 2 increase in estimated BMD. The adjusted odds ratios (95% confidence interval) for high osteoporosis risk in per 1 SD increase of WC, WHR, WHtR, BMI, BFP, and VFI were 0.820 (0.748, 0.898), 0.872 (0.811, 0.938), 0.825 (0.765, 0.891), 0.798 (0.726, 0.878), 0.882 (0.800, 0.972), and 0.807 (0.732, 0.889), respectively. Stratified analyses indicated greater effects on individuals aged 55 years or more. Conclusions: The adiposity indices have an inverse association with the risk of osteoporosis among Chinese rural population, especially in the elderly. Keywords: Adiposity; Bone mineral density; Osteoporosis; Rural population
Keywords
Adiposity; Bone mineral density; Osteoporosis; Rural population
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View the published article at BMC Public Health.
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Editorial decision: Accept
On 19 Feb, 2020
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On 18 Feb, 2020
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Editorial decision: Minor revision
On 15 Feb, 2020
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On 13 Feb, 2020
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On 12 Feb, 2020
Editor invited
On 12 Feb, 2020
No comments provided
Editorial decision: Minor revision
On 02 Feb, 2020
Reviewers invited
Invitations sent on 22 Jan, 2020
Reviewer #1 agreed
On 22 Jan, 2020
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Received 22 Jan, 2020
Editor assigned
On 17 Jan, 2020
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On 16 Jan, 2020
Editor invited
On 16 Jan, 2020
No comments provided
Review #1 received
Received 19 Dec, 2019
Editorial decision: Major revision
On 19 Dec, 2019
Reviewer #2 agreed
On 16 Dec, 2019
Review #2 received
Received 16 Dec, 2019
Reviewer #1 agreed
On 12 Dec, 2019
Reviewers invited
Invitations sent on 12 Dec, 2019
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On 03 Dec, 2019
First submitted
On 02 Dec, 2019
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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 Public Health.
No community comments so far
Editorial decision: Accept
On 19 Feb, 2020
Editor assigned
On 18 Feb, 2020
Submission checks complete
On 17 Feb, 2020
Editor invited
On 17 Feb, 2020
Version 3
Posted 14 Feb, 2020
No comments provided
Editorial decision: Minor revision
On 15 Feb, 2020
Editor assigned
On 13 Feb, 2020
Submission checks complete
On 12 Feb, 2020
Editor invited
On 12 Feb, 2020
No comments provided
Editorial decision: Minor revision
On 02 Feb, 2020
Reviewers invited
Invitations sent on 22 Jan, 2020
Reviewer #1 agreed
On 22 Jan, 2020
Review #1 received
Received 22 Jan, 2020
Editor assigned
On 17 Jan, 2020
Submission checks complete
On 16 Jan, 2020
Editor invited
On 16 Jan, 2020
No comments provided
Review #1 received
Received 19 Dec, 2019
Editorial decision: Major revision
On 19 Dec, 2019
Reviewer #2 agreed
On 16 Dec, 2019
Review #2 received
Received 16 Dec, 2019
Reviewer #1 agreed
On 12 Dec, 2019
Reviewers invited
Invitations sent on 12 Dec, 2019
Editor assigned
On 03 Dec, 2019
First submitted
On 02 Dec, 2019
Submission checks complete
On 02 Dec, 2019
Editor invited
On 02 Dec, 2019
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Public Health.
Background: Adiposity plays a crucial role in the risk of osteoporosis. However, the impact of body fat distribution on the skeleton is contentious. The study was designed to explore the association of various adiposity indices on estimated bone mineral density (BMD) and the risk of osteoporosis based on body mass index (BMI), body fat percentage (BFP), waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR), and visceral fat index (VFI). Methods: A total of 8475 subjects derived from the Henan Rural Cohort Study were analyzed. The estimated BMD of study participants were measured by calcaneal quantitative ultrasound (QUS). Linear and binary logistic regression was performed to estimate the association of adiposity and the outcomes. Results: The mean age of the study participants was 55.23 ± 11.09 years and 59.61% were women. The crude and age-standardized prevalence of high risk for osteoporosis was 16.24% and 11.82%. Per unit increment in adiposity indices was associated with 0.005-0.021 g/cm 2 increase in estimated BMD. The adjusted odds ratios (95% confidence interval) for high osteoporosis risk in per 1 SD increase of WC, WHR, WHtR, BMI, BFP, and VFI were 0.820 (0.748, 0.898), 0.872 (0.811, 0.938), 0.825 (0.765, 0.891), 0.798 (0.726, 0.878), 0.882 (0.800, 0.972), and 0.807 (0.732, 0.889), respectively. Stratified analyses indicated greater effects on individuals aged 55 years or more. Conclusions: The adiposity indices have an inverse association with the risk of osteoporosis among Chinese rural population, especially in the elderly. Keywords: Adiposity; Bone mineral density; Osteoporosis; Rural population
This is a list of supplementary files associated with this preprint. Click to download.
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