Cargando…
Predicting hypertension by obesity- and lipid-related indices in mid-aged and elderly Chinese: a nationwide cohort study from the China Health and Retirement Longitudinal Study
BACKGROUND: Currently, the study outcomes of anthropometric markers to predict the risk of hypertension are still inconsistent due to the effect of racial disparities. This study aims to investigate the most effective predictors for screening and prediction of hypertension (HTN) in the Chinese middl...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120116/ https://www.ncbi.nlm.nih.gov/pubmed/37081416 http://dx.doi.org/10.1186/s12872-023-03232-9 |
_version_ | 1785029130119544832 |
---|---|
author | Li, Yuqing Gui, Jiaofeng Zhang, Xiaoyun Wang, Ying Mei, Yujin Yang, Xue Liu, Haiyang Guo, Lei-lei Li, Jinlong Lei, Yunxiao Li, Xiaoping Sun, Lu Yang, Liu Yuan, Ting Wang, Congzhi Zhang, Dongmei Wei, Huanhuan Li, Jing Liu, Mingming Hua, Ying Zhang, Lin |
author_facet | Li, Yuqing Gui, Jiaofeng Zhang, Xiaoyun Wang, Ying Mei, Yujin Yang, Xue Liu, Haiyang Guo, Lei-lei Li, Jinlong Lei, Yunxiao Li, Xiaoping Sun, Lu Yang, Liu Yuan, Ting Wang, Congzhi Zhang, Dongmei Wei, Huanhuan Li, Jing Liu, Mingming Hua, Ying Zhang, Lin |
author_sort | Li, Yuqing |
collection | PubMed |
description | BACKGROUND: Currently, the study outcomes of anthropometric markers to predict the risk of hypertension are still inconsistent due to the effect of racial disparities. This study aims to investigate the most effective predictors for screening and prediction of hypertension (HTN) in the Chinese middle-aged and more elderly adult population and to predict hypertension using obesity and lipid-related markers in Chinese middle-aged and older people. METHODS: The data for the cohort study came from the China Health and Retirement Longitudinal Study (CHARLS), including 4423 middle-aged and elderly people aged 45 years or above. We examined 13 obesity- and lipid-related indices, including waist circumference (WC), body mass index (BMI), waist-height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product index (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), triglyceride-glucose index (TyG-index) and their combined indices (TyG-BMI, TyG-WC, TyG-WHtR). To compare the capacity of each measure to forecast the probability of developing HTN, the receiver operating characteristic curve (ROC) was used to determine the usefulness of anthropometric indices for screening for HTN in the elderly and determining their cut-off value, sensitivity, specificity, and area under the curve (AUC). Association analysis of 13 obesity-related anthropometric indicators with HTN was performed using binary logistic regression analysis. RESULTS: During the four years, the incident rates of HTN in middle-aged and elderly men and women in China were 22.08% and 17.82%, respectively. All the above 13 indicators show a modest predictive power (AUC > 0.5), which is significant for predicting HTN in adults (middle-aged and elderly people) in China (P < 0.05). In addition, when WHtR = 0.501 (with an AUC of 0.593, and sensitivity and specificity of 63.60% and 52.60% respectively) or TYg-WHtR = 4.335 (with an AUC of 0.601, and sensitivity and specificity of 58.20% and 59.30% respectively), the effect of predicting the incidence risk of men is the best. And when WHtR = 0.548 (with an AUC of 0.609, and sensitivity and specificity of 59.50% and 56.50% respectively) or TYg-WHtR = 4.781(with an AUC of 0.617, and sensitivity and specificity of 58.10% and 60.80% respectively), the effect of predicting the incidence risk of women is the best. CONCLUSIONS: The 13 obesity- and lipid-related indices in this study have modest significance for predicting HTN in Chinese middle-aged and elderly patients. WHtR and Tyg-WHtR are the most cost-effective indicators with moderate predictive value of the development of HTN. |
format | Online Article Text |
id | pubmed-10120116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101201162023-04-22 Predicting hypertension by obesity- and lipid-related indices in mid-aged and elderly Chinese: a nationwide cohort study from the China Health and Retirement Longitudinal Study Li, Yuqing Gui, Jiaofeng Zhang, Xiaoyun Wang, Ying Mei, Yujin Yang, Xue Liu, Haiyang Guo, Lei-lei Li, Jinlong Lei, Yunxiao Li, Xiaoping Sun, Lu Yang, Liu Yuan, Ting Wang, Congzhi Zhang, Dongmei Wei, Huanhuan Li, Jing Liu, Mingming Hua, Ying Zhang, Lin BMC Cardiovasc Disord Research BACKGROUND: Currently, the study outcomes of anthropometric markers to predict the risk of hypertension are still inconsistent due to the effect of racial disparities. This study aims to investigate the most effective predictors for screening and prediction of hypertension (HTN) in the Chinese middle-aged and more elderly adult population and to predict hypertension using obesity and lipid-related markers in Chinese middle-aged and older people. METHODS: The data for the cohort study came from the China Health and Retirement Longitudinal Study (CHARLS), including 4423 middle-aged and elderly people aged 45 years or above. We examined 13 obesity- and lipid-related indices, including waist circumference (WC), body mass index (BMI), waist-height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product index (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), triglyceride-glucose index (TyG-index) and their combined indices (TyG-BMI, TyG-WC, TyG-WHtR). To compare the capacity of each measure to forecast the probability of developing HTN, the receiver operating characteristic curve (ROC) was used to determine the usefulness of anthropometric indices for screening for HTN in the elderly and determining their cut-off value, sensitivity, specificity, and area under the curve (AUC). Association analysis of 13 obesity-related anthropometric indicators with HTN was performed using binary logistic regression analysis. RESULTS: During the four years, the incident rates of HTN in middle-aged and elderly men and women in China were 22.08% and 17.82%, respectively. All the above 13 indicators show a modest predictive power (AUC > 0.5), which is significant for predicting HTN in adults (middle-aged and elderly people) in China (P < 0.05). In addition, when WHtR = 0.501 (with an AUC of 0.593, and sensitivity and specificity of 63.60% and 52.60% respectively) or TYg-WHtR = 4.335 (with an AUC of 0.601, and sensitivity and specificity of 58.20% and 59.30% respectively), the effect of predicting the incidence risk of men is the best. And when WHtR = 0.548 (with an AUC of 0.609, and sensitivity and specificity of 59.50% and 56.50% respectively) or TYg-WHtR = 4.781(with an AUC of 0.617, and sensitivity and specificity of 58.10% and 60.80% respectively), the effect of predicting the incidence risk of women is the best. CONCLUSIONS: The 13 obesity- and lipid-related indices in this study have modest significance for predicting HTN in Chinese middle-aged and elderly patients. WHtR and Tyg-WHtR are the most cost-effective indicators with moderate predictive value of the development of HTN. BioMed Central 2023-04-20 /pmc/articles/PMC10120116/ /pubmed/37081416 http://dx.doi.org/10.1186/s12872-023-03232-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Yuqing Gui, Jiaofeng Zhang, Xiaoyun Wang, Ying Mei, Yujin Yang, Xue Liu, Haiyang Guo, Lei-lei Li, Jinlong Lei, Yunxiao Li, Xiaoping Sun, Lu Yang, Liu Yuan, Ting Wang, Congzhi Zhang, Dongmei Wei, Huanhuan Li, Jing Liu, Mingming Hua, Ying Zhang, Lin Predicting hypertension by obesity- and lipid-related indices in mid-aged and elderly Chinese: a nationwide cohort study from the China Health and Retirement Longitudinal Study |
title | Predicting hypertension by obesity- and lipid-related indices in mid-aged and elderly Chinese: a nationwide cohort study from the China Health and Retirement Longitudinal Study |
title_full | Predicting hypertension by obesity- and lipid-related indices in mid-aged and elderly Chinese: a nationwide cohort study from the China Health and Retirement Longitudinal Study |
title_fullStr | Predicting hypertension by obesity- and lipid-related indices in mid-aged and elderly Chinese: a nationwide cohort study from the China Health and Retirement Longitudinal Study |
title_full_unstemmed | Predicting hypertension by obesity- and lipid-related indices in mid-aged and elderly Chinese: a nationwide cohort study from the China Health and Retirement Longitudinal Study |
title_short | Predicting hypertension by obesity- and lipid-related indices in mid-aged and elderly Chinese: a nationwide cohort study from the China Health and Retirement Longitudinal Study |
title_sort | predicting hypertension by obesity- and lipid-related indices in mid-aged and elderly chinese: a nationwide cohort study from the china health and retirement longitudinal study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120116/ https://www.ncbi.nlm.nih.gov/pubmed/37081416 http://dx.doi.org/10.1186/s12872-023-03232-9 |
work_keys_str_mv | AT liyuqing predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT guijiaofeng predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT zhangxiaoyun predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT wangying predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT meiyujin predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT yangxue predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT liuhaiyang predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT guoleilei predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT lijinlong predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT leiyunxiao predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT lixiaoping predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT sunlu predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT yangliu predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT yuanting predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT wangcongzhi predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT zhangdongmei predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT weihuanhuan predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT lijing predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT liumingming predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT huaying predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy AT zhanglin predictinghypertensionbyobesityandlipidrelatedindicesinmidagedandelderlychineseanationwidecohortstudyfromthechinahealthandretirementlongitudinalstudy |