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Influencing factors of wide pulse pressure in an elderly Chinese population: A cross‐sectional study

Blood pressure and pulse pressure (PP) had their own characteristics in the elderly population. This cross‐sectional study including 5030 elderly participants was conducted to describe the distribution of blood pressure and wide PP in the elderly population and find influencing factors of wide PP. W...

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Autores principales: Yang, Dandan, Chen, Jie, Zhang, Tingting, Lin, Yaoyao, Yao, Xuecheng, Meng, Lin, Guo, Fanjia, Chen, Kun, Dai, Honglei, Tang, Mengling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659878/
https://www.ncbi.nlm.nih.gov/pubmed/36259250
http://dx.doi.org/10.1111/jch.14582
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author Yang, Dandan
Chen, Jie
Zhang, Tingting
Lin, Yaoyao
Yao, Xuecheng
Meng, Lin
Guo, Fanjia
Chen, Kun
Dai, Honglei
Tang, Mengling
author_facet Yang, Dandan
Chen, Jie
Zhang, Tingting
Lin, Yaoyao
Yao, Xuecheng
Meng, Lin
Guo, Fanjia
Chen, Kun
Dai, Honglei
Tang, Mengling
author_sort Yang, Dandan
collection PubMed
description Blood pressure and pulse pressure (PP) had their own characteristics in the elderly population. This cross‐sectional study including 5030 elderly participants was conducted to describe the distribution of blood pressure and wide PP in the elderly population and find influencing factors of wide PP. Wide PP was defined as PP equal to or more than 65 mmHg, and was classified three types as low systolic blood pressure (SBP) and low diastolic blood pressure (DBP) (LSLD), high SBP and low DBP (HSLD), and high SBP and high DBP (HSHD). Using multivariate logistic regression models to analyze the associations of demographic factors, health‐related factors and lifestyle factors with different wide PP types. The associations of lifestyles with wide PP by gender were estimated by subgroup analyses. Among 5030 elderly participants, 2727 (54.2%) participants had wide PP. Logistic regression models showed older age (OR = 2.48, 95%CI: 2.14‐2.88), female (OR = 1.31, 95%CI: 1.07‐1.60), not married (OR = 1.26, 95%CI: 1.07‐1.49), having chronic diseases (OR = 1.28, 95%CI: 1.09‐1.50), current alcohol drinker (OR = 1.29, 95%CI: 1.11‐1.50) were positively associated, and higher body height (OR = .78, 95%CI: .62‐.99), higher education level (OR = .60, 95%CI: .43‐.82), current smoker (OR = .79, 95%CI: .64‐.97) were negatively associated with wide PP. Among three different types of wide PP including LSLD, HSLD, HSHD, these factors had different effects. Subgroup analyses found that only among male, current smoker was negatively associated and current alcohol drinker was positively associated with wide PP.
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spelling pubmed-96598782022-11-14 Influencing factors of wide pulse pressure in an elderly Chinese population: A cross‐sectional study Yang, Dandan Chen, Jie Zhang, Tingting Lin, Yaoyao Yao, Xuecheng Meng, Lin Guo, Fanjia Chen, Kun Dai, Honglei Tang, Mengling J Clin Hypertens (Greenwich) Pulse Pressure Blood pressure and pulse pressure (PP) had their own characteristics in the elderly population. This cross‐sectional study including 5030 elderly participants was conducted to describe the distribution of blood pressure and wide PP in the elderly population and find influencing factors of wide PP. Wide PP was defined as PP equal to or more than 65 mmHg, and was classified three types as low systolic blood pressure (SBP) and low diastolic blood pressure (DBP) (LSLD), high SBP and low DBP (HSLD), and high SBP and high DBP (HSHD). Using multivariate logistic regression models to analyze the associations of demographic factors, health‐related factors and lifestyle factors with different wide PP types. The associations of lifestyles with wide PP by gender were estimated by subgroup analyses. Among 5030 elderly participants, 2727 (54.2%) participants had wide PP. Logistic regression models showed older age (OR = 2.48, 95%CI: 2.14‐2.88), female (OR = 1.31, 95%CI: 1.07‐1.60), not married (OR = 1.26, 95%CI: 1.07‐1.49), having chronic diseases (OR = 1.28, 95%CI: 1.09‐1.50), current alcohol drinker (OR = 1.29, 95%CI: 1.11‐1.50) were positively associated, and higher body height (OR = .78, 95%CI: .62‐.99), higher education level (OR = .60, 95%CI: .43‐.82), current smoker (OR = .79, 95%CI: .64‐.97) were negatively associated with wide PP. Among three different types of wide PP including LSLD, HSLD, HSHD, these factors had different effects. Subgroup analyses found that only among male, current smoker was negatively associated and current alcohol drinker was positively associated with wide PP. John Wiley and Sons Inc. 2022-10-19 /pmc/articles/PMC9659878/ /pubmed/36259250 http://dx.doi.org/10.1111/jch.14582 Text en © 2022 The Authors. The Journal of Clinical Hypertension published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Pulse Pressure
Yang, Dandan
Chen, Jie
Zhang, Tingting
Lin, Yaoyao
Yao, Xuecheng
Meng, Lin
Guo, Fanjia
Chen, Kun
Dai, Honglei
Tang, Mengling
Influencing factors of wide pulse pressure in an elderly Chinese population: A cross‐sectional study
title Influencing factors of wide pulse pressure in an elderly Chinese population: A cross‐sectional study
title_full Influencing factors of wide pulse pressure in an elderly Chinese population: A cross‐sectional study
title_fullStr Influencing factors of wide pulse pressure in an elderly Chinese population: A cross‐sectional study
title_full_unstemmed Influencing factors of wide pulse pressure in an elderly Chinese population: A cross‐sectional study
title_short Influencing factors of wide pulse pressure in an elderly Chinese population: A cross‐sectional study
title_sort influencing factors of wide pulse pressure in an elderly chinese population: a cross‐sectional study
topic Pulse Pressure
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9659878/
https://www.ncbi.nlm.nih.gov/pubmed/36259250
http://dx.doi.org/10.1111/jch.14582
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