Cargando…

Correlation Between Ideal Cardiovascular Health Metrics and Plasma hs-CRP Levels in a North China Population: One Four-Year Follow-Up Study

BACKGROUND: This prospective cohort study aimed to evaluate the potential association of ideal cardiovascular health metrics with the plasma levels of highly sensitive C-reactive protein (hs-CRP) among people in North China. METHODS: A total of 80,968 participants were included in this study at base...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Jia, Xu, Liuyue, He, Quan, Wu, Shouling, Hu, Dayi, Lu, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505702/
https://www.ncbi.nlm.nih.gov/pubmed/32982379
http://dx.doi.org/10.2147/IJGM.S266602
_version_ 1783584869305024512
author Chen, Jia
Xu, Liuyue
He, Quan
Wu, Shouling
Hu, Dayi
Lu, Kai
author_facet Chen, Jia
Xu, Liuyue
He, Quan
Wu, Shouling
Hu, Dayi
Lu, Kai
author_sort Chen, Jia
collection PubMed
description BACKGROUND: This prospective cohort study aimed to evaluate the potential association of ideal cardiovascular health metrics with the plasma levels of highly sensitive C-reactive protein (hs-CRP) among people in North China. METHODS: A total of 80,968 participants were included in this study at baseline. Data relating to seven health metrics and plasma hs-CRP levels were collected at baseline and the end of follow-up. The change in health metrics of each individual was compared and recorded. The potential association of gain or loss of each health metric, as well as the change in the total number of health metrics that each individual had during follow-up, with the risk of increased hs-CRP level, were explored by multiple Cox proportional hazards models. RESULTS: A total of 72,321 participants (94.51%) completed the follow-up, and the average follow-up time was 4.1 years. Ideal body mass index (BMI), physical activity, smoking status and total cholesterol all had significant impacts on hs-CRP levels, with ideal BMI having the largest impact. Losing ideal BMI during follow-up raised the probability of hs-CRP increase during the follow-up time by 1.72 (95% CI, 1.59–1.86) times for men and 2.05 (95% CI, 1.76–2.39) times for women. The effects of ideal salt intake and blood pressure on hs-CRP levels were uncertain. Changes in the total number of ideal metrics for each individual had a significant cumulative effect on hs-CRP. The hazard ratio of loss of four to six health metrics during follow-up on the risk of hs-CRP increase was 1.69 (95% CI, 1.38–2.06) for men and 1.52 (95% CI, 1.13–2.04) for women. CONCLUSION: Loss or gain of ideal cardiovascular health metrics is associated with significant fluctuations in plasma hs-CRP levels. The cardiovascular benefits brought by the ideal health metrics are mediated at least in part by reducing systemic inflammation in the body.
format Online
Article
Text
id pubmed-7505702
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-75057022020-09-24 Correlation Between Ideal Cardiovascular Health Metrics and Plasma hs-CRP Levels in a North China Population: One Four-Year Follow-Up Study Chen, Jia Xu, Liuyue He, Quan Wu, Shouling Hu, Dayi Lu, Kai Int J Gen Med Original Research BACKGROUND: This prospective cohort study aimed to evaluate the potential association of ideal cardiovascular health metrics with the plasma levels of highly sensitive C-reactive protein (hs-CRP) among people in North China. METHODS: A total of 80,968 participants were included in this study at baseline. Data relating to seven health metrics and plasma hs-CRP levels were collected at baseline and the end of follow-up. The change in health metrics of each individual was compared and recorded. The potential association of gain or loss of each health metric, as well as the change in the total number of health metrics that each individual had during follow-up, with the risk of increased hs-CRP level, were explored by multiple Cox proportional hazards models. RESULTS: A total of 72,321 participants (94.51%) completed the follow-up, and the average follow-up time was 4.1 years. Ideal body mass index (BMI), physical activity, smoking status and total cholesterol all had significant impacts on hs-CRP levels, with ideal BMI having the largest impact. Losing ideal BMI during follow-up raised the probability of hs-CRP increase during the follow-up time by 1.72 (95% CI, 1.59–1.86) times for men and 2.05 (95% CI, 1.76–2.39) times for women. The effects of ideal salt intake and blood pressure on hs-CRP levels were uncertain. Changes in the total number of ideal metrics for each individual had a significant cumulative effect on hs-CRP. The hazard ratio of loss of four to six health metrics during follow-up on the risk of hs-CRP increase was 1.69 (95% CI, 1.38–2.06) for men and 1.52 (95% CI, 1.13–2.04) for women. CONCLUSION: Loss or gain of ideal cardiovascular health metrics is associated with significant fluctuations in plasma hs-CRP levels. The cardiovascular benefits brought by the ideal health metrics are mediated at least in part by reducing systemic inflammation in the body. Dove 2020-09-17 /pmc/articles/PMC7505702/ /pubmed/32982379 http://dx.doi.org/10.2147/IJGM.S266602 Text en © 2020 Chen et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Chen, Jia
Xu, Liuyue
He, Quan
Wu, Shouling
Hu, Dayi
Lu, Kai
Correlation Between Ideal Cardiovascular Health Metrics and Plasma hs-CRP Levels in a North China Population: One Four-Year Follow-Up Study
title Correlation Between Ideal Cardiovascular Health Metrics and Plasma hs-CRP Levels in a North China Population: One Four-Year Follow-Up Study
title_full Correlation Between Ideal Cardiovascular Health Metrics and Plasma hs-CRP Levels in a North China Population: One Four-Year Follow-Up Study
title_fullStr Correlation Between Ideal Cardiovascular Health Metrics and Plasma hs-CRP Levels in a North China Population: One Four-Year Follow-Up Study
title_full_unstemmed Correlation Between Ideal Cardiovascular Health Metrics and Plasma hs-CRP Levels in a North China Population: One Four-Year Follow-Up Study
title_short Correlation Between Ideal Cardiovascular Health Metrics and Plasma hs-CRP Levels in a North China Population: One Four-Year Follow-Up Study
title_sort correlation between ideal cardiovascular health metrics and plasma hs-crp levels in a north china population: one four-year follow-up study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505702/
https://www.ncbi.nlm.nih.gov/pubmed/32982379
http://dx.doi.org/10.2147/IJGM.S266602
work_keys_str_mv AT chenjia correlationbetweenidealcardiovascularhealthmetricsandplasmahscrplevelsinanorthchinapopulationonefouryearfollowupstudy
AT xuliuyue correlationbetweenidealcardiovascularhealthmetricsandplasmahscrplevelsinanorthchinapopulationonefouryearfollowupstudy
AT hequan correlationbetweenidealcardiovascularhealthmetricsandplasmahscrplevelsinanorthchinapopulationonefouryearfollowupstudy
AT wushouling correlationbetweenidealcardiovascularhealthmetricsandplasmahscrplevelsinanorthchinapopulationonefouryearfollowupstudy
AT hudayi correlationbetweenidealcardiovascularhealthmetricsandplasmahscrplevelsinanorthchinapopulationonefouryearfollowupstudy
AT lukai correlationbetweenidealcardiovascularhealthmetricsandplasmahscrplevelsinanorthchinapopulationonefouryearfollowupstudy