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Association between trajectories of fasting plasma glucose and risk of osteoporosis in non-diabetic and diabetic populations
INTRODUCTION: Previous studies based on a single measure of fasting plasma glucose (FPG) showed an inconsistent conclusion about the association between FPG and osteoporosis risk. Not accounting for time-varying and cumulative average of FPG over time could bias the true relation between FPG and ost...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679646/ https://www.ncbi.nlm.nih.gov/pubmed/36424968 http://dx.doi.org/10.3389/fpubh.2022.960928 |
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author | Wang, Ping Zhang, Yuanfeng Shan, Ruiqi Wu, Jing Man, Sailimai Deng, Yuhan Lv, Jun Wang, Xiaona Yin, Jianchun Ning, Yi Wang, Bo Li, Liming |
author_facet | Wang, Ping Zhang, Yuanfeng Shan, Ruiqi Wu, Jing Man, Sailimai Deng, Yuhan Lv, Jun Wang, Xiaona Yin, Jianchun Ning, Yi Wang, Bo Li, Liming |
author_sort | Wang, Ping |
collection | PubMed |
description | INTRODUCTION: Previous studies based on a single measure of fasting plasma glucose (FPG) showed an inconsistent conclusion about the association between FPG and osteoporosis risk. Not accounting for time-varying and cumulative average of FPG over time could bias the true relation between FPG and osteoporosis. Our study aims to investigate the association between the trajectories of FPG and osteoporosis risk for non-diabetic and diabetic populations. METHODS: A total of 18,313 participants who attended physical examinations during 2008–2018 were included. They were free of osteoporosis at their first physical examination and followed until their last physical examination before December 31, 2018. We recorded their incidence of osteoporosis and at least three FPG values during follow-up. Their longitudinal FPG trajectories were identified by the latent class growth analysis model based on the changes in FPG. Multivariable logistic regression models were used to analyze the association between the trajectories of FPG and osteoporosis diagnosed in the follow-up physical examination in both non-diabetics and diabetics. RESULTS: There were 752 incident osteoporosis among 16,966 non-diabetic participants, and 57 incident osteoporosis among 1,347 diabetic participants. Among non-diabetics, the elevated-increasing FPG trajectory was negatively associated with osteoporosis risk in women (odds ratio (OR), 0.62; 95% confidence interval (CI), 0.43–0.88). Premenopausal women with elevated-increasing FPG trajectory had lower osteoporosis risk than those women with normal-stable FPG trajectory (OR, 0.41; 95% CI, 0.20–0.88), while this association was insignificant in postmenopausal women. Among diabetics, those whose longitudinal FPG is kept at a very high level had the highest risk of osteoporosis (OR, 3.09; 95% CI, 1.16–8.22), whereas those whose FPG starts with the high level and keeps on increasing did not exhibit a significantly increased risk (OR, 1.75; 95% CI, 0.81–3.76) compared with those who keep stable moderate-high level of FPG, except in men (OR, 2.49; 95% CI, 1.02–6.12). CONCLUSION: Distinct trajectories of FPG are associated with differential risk of osteoporosis in non-diabetic and diabetic populations. Controlling a proper FPG level in different populations is necessary for osteoporosis prevention. |
format | Online Article Text |
id | pubmed-9679646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96796462022-11-23 Association between trajectories of fasting plasma glucose and risk of osteoporosis in non-diabetic and diabetic populations Wang, Ping Zhang, Yuanfeng Shan, Ruiqi Wu, Jing Man, Sailimai Deng, Yuhan Lv, Jun Wang, Xiaona Yin, Jianchun Ning, Yi Wang, Bo Li, Liming Front Public Health Public Health INTRODUCTION: Previous studies based on a single measure of fasting plasma glucose (FPG) showed an inconsistent conclusion about the association between FPG and osteoporosis risk. Not accounting for time-varying and cumulative average of FPG over time could bias the true relation between FPG and osteoporosis. Our study aims to investigate the association between the trajectories of FPG and osteoporosis risk for non-diabetic and diabetic populations. METHODS: A total of 18,313 participants who attended physical examinations during 2008–2018 were included. They were free of osteoporosis at their first physical examination and followed until their last physical examination before December 31, 2018. We recorded their incidence of osteoporosis and at least three FPG values during follow-up. Their longitudinal FPG trajectories were identified by the latent class growth analysis model based on the changes in FPG. Multivariable logistic regression models were used to analyze the association between the trajectories of FPG and osteoporosis diagnosed in the follow-up physical examination in both non-diabetics and diabetics. RESULTS: There were 752 incident osteoporosis among 16,966 non-diabetic participants, and 57 incident osteoporosis among 1,347 diabetic participants. Among non-diabetics, the elevated-increasing FPG trajectory was negatively associated with osteoporosis risk in women (odds ratio (OR), 0.62; 95% confidence interval (CI), 0.43–0.88). Premenopausal women with elevated-increasing FPG trajectory had lower osteoporosis risk than those women with normal-stable FPG trajectory (OR, 0.41; 95% CI, 0.20–0.88), while this association was insignificant in postmenopausal women. Among diabetics, those whose longitudinal FPG is kept at a very high level had the highest risk of osteoporosis (OR, 3.09; 95% CI, 1.16–8.22), whereas those whose FPG starts with the high level and keeps on increasing did not exhibit a significantly increased risk (OR, 1.75; 95% CI, 0.81–3.76) compared with those who keep stable moderate-high level of FPG, except in men (OR, 2.49; 95% CI, 1.02–6.12). CONCLUSION: Distinct trajectories of FPG are associated with differential risk of osteoporosis in non-diabetic and diabetic populations. Controlling a proper FPG level in different populations is necessary for osteoporosis prevention. Frontiers Media S.A. 2022-11-08 /pmc/articles/PMC9679646/ /pubmed/36424968 http://dx.doi.org/10.3389/fpubh.2022.960928 Text en Copyright © 2022 Wang, Zhang, Shan, Wu, Man, Deng, Lv, Wang, Yin, Ning, Wang and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Wang, Ping Zhang, Yuanfeng Shan, Ruiqi Wu, Jing Man, Sailimai Deng, Yuhan Lv, Jun Wang, Xiaona Yin, Jianchun Ning, Yi Wang, Bo Li, Liming Association between trajectories of fasting plasma glucose and risk of osteoporosis in non-diabetic and diabetic populations |
title | Association between trajectories of fasting plasma glucose and risk of osteoporosis in non-diabetic and diabetic populations |
title_full | Association between trajectories of fasting plasma glucose and risk of osteoporosis in non-diabetic and diabetic populations |
title_fullStr | Association between trajectories of fasting plasma glucose and risk of osteoporosis in non-diabetic and diabetic populations |
title_full_unstemmed | Association between trajectories of fasting plasma glucose and risk of osteoporosis in non-diabetic and diabetic populations |
title_short | Association between trajectories of fasting plasma glucose and risk of osteoporosis in non-diabetic and diabetic populations |
title_sort | association between trajectories of fasting plasma glucose and risk of osteoporosis in non-diabetic and diabetic populations |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679646/ https://www.ncbi.nlm.nih.gov/pubmed/36424968 http://dx.doi.org/10.3389/fpubh.2022.960928 |
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