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Bray EP, Georgiou RF, Hives L, Iqbal N, Benedetto V, Spencer J, Harris C, Clegg A, Williams N, Rutter P, Watkins C. Non-pharmacological interventions for the reduction and maintenance of blood pressure in people with prehypertension: a systematic review protocol. BMJ Open 2024; 14:e078189. [PMID: 38253457 PMCID: PMC10806604 DOI: 10.1136/bmjopen-2023-078189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
INTRODUCTION Prehypertension is defined as blood pressure that is above the normal range but not high enough to be classed as hypertension. Prehypertension is a warning of development of hypertension as well as a risk for cardiovascular disease, heart attack and stroke. In the UK, non-pharmacological interventions are recommended for prehypertension management but no reviews have focused on the effectiveness of these types of interventions solely in people with prehypertension. Therefore, the proposed systematic review will assess the clinical effectiveness and cost-effectiveness of non-pharmacological interventions in reducing or maintaining blood pressure in prehypertensive people. METHODS AND ANALYSIS This systematic review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The databases/trial registries that will be searched to identify relevant randomised controlled trials (RCTs) and economic evaluations include Medline, EMBASE, CINAHL, PsycINFO, CENTRAL, the WHO International Clinical Trials Registry Platform, ClinicalTrials.gov, Cochrane Library, Scopus and the International HTA Database. Search terms have been identified by the team including an information specialist. Three reviewers will be involved in the study selection process. Risk of bias will be evaluated using the Cochrane risk-of-bias tool for RCTs and the Consensus Health Economic Criteria list for economic evaluations. Findings from the included studies will be tabulated and synthesised narratively. Heterogeneity will be assessed through visual inspection of forest plots and the calculation of the χ2 and I2 statistics and causes of heterogeneity will be assessed where sufficient data are available. If possible, we plan to investigate differential effects on specific subgroups and from different types of interventions using meta-regression. Where relevant, the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) will be used to assess the certainty of the evidence found. ETHICS AND DISSEMINATION Ethical approval is not needed. Results will be published in a peer-reviewed journal, disseminated via the wider study website and shared with the study sites and participants. REGISTRATION DETAILS The review is registered with PROSPERO (CRD420232433047).
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Affiliation(s)
- Emma P Bray
- Stroke Research Team, University of Central Lancashire, Preston, UK
| | | | - Lucy Hives
- School of Community Health and Midwifery, University of Central Lancashire, Preston, UK
| | - Nafisa Iqbal
- Stroke Research Team, University of Central Lancashire, Preston, UK
| | - Valerio Benedetto
- Synthesis, Economic Evaluation and Decision Science Group, University of Central Lancashire, Preston, UK
| | - Joseph Spencer
- Research Facilitation and Delivery Unit, University of Central Lancashire, Preston, UK
| | - Cath Harris
- Synthesis, Economic Evaluation and Decision Science Group, University of Central Lancashire, Preston, UK
| | - Andrew Clegg
- Synthesis, Economic Evaluation and Decision Science Group, University of Central Lancashire, Preston, UK
| | - Nefyn Williams
- Primary Care, Department of Primary Care and Mental Health, University of Liverpool, Liverpool, UK
| | - Paul Rutter
- Pharmacy Practice, School of Biomedical Sciences, University of Portsmouth, Portsmouth, UK
| | - Caroline Watkins
- Stroke Research Team, University of Central Lancashire, Preston, UK
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Gui J, Li Y, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Li J, Liu M, Hua Y, Zhang L. Obesity-and lipid-related indices as a risk factor of hypertension in mid-aged and elderly Chinese: a cross-sectional study. BMC Geriatr 2024; 24:77. [PMID: 38245677 PMCID: PMC10800050 DOI: 10.1186/s12877-023-04650-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 12/30/2023] [Indexed: 01/22/2024] Open
Abstract
OBJECTIVE Hypertension refers to the persistent elevation of blood pressure above the established normal range, resulting in increased pressure exerted by blood on the walls of blood vessels during its circulation. Recent studies have identified significant associations between obesity and lipid-related indices, as well as hypertension. Nevertheless, these studies have yet to comprehensively examine the correlation between the two variables. Our objective is to identify the fat and lipid-related indices that have the strongest correlation with hypertension. METHOD There was a total of 9488 elderly and middle-aged Chinese citizens who participated in this investigation. The participants in this research were separated into distinct gender cohorts. The participants were classified into normal and hypertensive categories according to their gender, with hypertension defined as a blood pressure level of 140/90 mmHg or higher, or a history of hypertension. Through the utilization of binary logistic regression analyses and the receiver operator curve (ROC), the optimal among fourteen indicators associated with obesity and lipids were identified. RESULTS After adjusting for variables, statistical analysis showed that all 14 measures of obesity and lipid were risk factors for hypertension. The receiver operating characteristic (ROC) curve analysis reveals that the Chinese visceral adiposity index (CVAI) has the highest degree of relationship to hypertension. Simultaneously, a statistically significant association between hypertension and these 14 variables was observed in both males and females. CONCLUSION There was a significant independent association between various parameters related to obesity and lipid-related index and the presence of hypertension, indicating that these factors can be considered risk factors for hypertension. CVAI and WHtR (waist height ratio) can be used to screen the high-risk groups of hypertensions in middle-aged and elderly people in China, and then take individualized health care measures to reduce the harm of hypertension.
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Affiliation(s)
- Jiaofeng Gui
- Department of Graduate School, Wannan Medical College, Wuhu, Anhui, China
| | - Yuqing Li
- Department of Graduate School, Wannan Medical College, Wuhu, Anhui, China
| | - Haiyang Liu
- Student Health Center, Wannan Medical College, Wuhu, Anhui, China
| | - Lei-Lei Guo
- Department of Surgical Nursing, School of Nursing, Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Jinlong Li
- Department of Occupational and Environmental Health, Key Laboratory of Occupational Health and Safety for Coal Industry in Hebei Province, School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China
| | - Yunxiao Lei
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China
| | - Xiaoping Li
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China
| | - Lu Sun
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China
| | - Liu Yang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China
| | - Ting Yuan
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China
| | - Congzhi Wang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China
| | - Dongmei Zhang
- Department of Pediatric Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China
| | - Jing Li
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China
| | - Mingming Liu
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China
| | - Ying Hua
- Rehabilitation Nursing, School of Nursing, Wanna Medical College, Wuhu, Anhui, China
| | - Lin Zhang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, Anhui, China.
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Hives L, Georgiou RF, Spencer J, Benedetto V, Clegg A, Rutter P, Watkins C, Williams N, Bray EP. Risk reduction intervention for raised blood pressure (REVERSE): protocol for a mixed-methods feasibility study. BMJ Open 2023; 13:e072225. [PMID: 37258072 DOI: 10.1136/bmjopen-2023-072225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/02/2023] Open
Abstract
INTRODUCTION Around 40% of adults have pre-hypertension (blood pressure between 120-139/80-89), meaning they are at increased risk of developing hypertension and other cardiovascular disease-related conditions. There are limited studies on the management of pre-hypertension; however, guidance recommends that it should be focused on lifestyle modification rather than on medication. Self-monitoring of blood pressure could allow people to monitor and manage their risk status and may allow individuals to modify lifestyle factors. The purpose of this study is to determine the feasibility and acceptability, to both healthcare professionals and people with pre-hypertension, of blood pressure self-monitoring. METHODS AND ANALYSIS A prospective, non-randomised feasibility study, with a mixed-methods approach will be employed. Eligible participants (n=114) will be recruited from general practices, pharmacies and community providers across Lancashire and South Cumbria. Participants will self-monitor their blood pressure at home for 6 months and will complete questionnaires at three timepoints (baseline, 6 and 12 months). Healthcare professionals and participants involved in the study will be invited to take part in follow-up interviews and a focus group. The primary outcomes include the willingness to engage with the concept of pre-hypertension, the acceptability of self-monitoring, and the study processes. Secondary outcomes will inform the design of a potential future trial. A cost-analysis and cost-benefit analysis will be conducted. ETHICS AND DISSEMINATION Ethics approval has been obtained from London-Fulham NHS Research Ethics Committee, the University of Central Lancashire Health Ethics Review Panel and the HRA. The results of the study will be disseminated via peer-reviewed publications, feedback to service users and healthcare professionals, and to professional bodies in primary care and pharmacy. TRIAL REGISTRATION NUMBER ISRCTN13649483.
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Affiliation(s)
- Lucy Hives
- Research Facilitation and Delivery Unit, Applied Health Research Hub, University of Central Lancashire, Preston, UK
| | - Rachel F Georgiou
- Stroke Research Team, School of Nursing, University of Central Lancashire, Preston, UK
| | - Joseph Spencer
- Research Facilitation and Delivery Unit, Applied Health Research Hub, University of Central Lancashire, Preston, UK
| | - Valerio Benedetto
- Health Technology Assessment Unit, Applied Health Research Hub, University of Central Lancashire, Preston, UK
- Methodological Innovation, Development, Adaptation and Support (MIDAS) Theme, NIHR Applied Research Collaboration North West Coast, Liverpool, UK
| | - Andrew Clegg
- Health Technology Assessment Unit, Applied Health Research Hub, University of Central Lancashire, Preston, UK
- Methodological Innovation, Development, Adaptation and Support (MIDAS) Theme, NIHR Applied Research Collaboration North West Coast, Liverpool, UK
| | - Paul Rutter
- Faculty of Science and Health, School of Biomedical Sciences, University of Portsmouth, Portsmouth, UK
| | - Caroline Watkins
- Stroke Research Team, School of Nursing, Facility of Health and Care, University of Central Lancashire, Preston, UK
| | - Nefyn Williams
- Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Emma P Bray
- Stroke Research Team, School of Nursing, Facility of Health and Care, University of Central Lancashire, Preston, UK
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Xiao M, Chen C, Wang J, Cai A, Zhou D, Liu G, Feng Y. Association of adiposity indices with prehypertension among Chinese adults: A cross-sectional study. J Clin Hypertens (Greenwich) 2023; 25:470-479. [PMID: 36974365 PMCID: PMC10184478 DOI: 10.1111/jch.14622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 11/15/2022] [Accepted: 12/03/2022] [Indexed: 03/29/2023]
Abstract
The association of adiposity indices with prehypertension remains unclear in the Chinese non-hypertensive population. This study aimed to compare the association of adiposity indices, including waist circumference (WC), waist-to-height ratio, body roundness index (BRI), a body shape index (ABSI), and conicity index (CI), and prehypertension in the Chinese population. We recruited 61 475 participants from a population-based screening project in Guangdong province, China. Multiple logistic regression analyses were performed to detect the association between the six adiposity indices and prehypertension. Receiver operator characteristic curve (ROC) analysis was used to evaluate the predictive values of adiposity indices to prehypertension. The individuals were divided into two categories by blood pressure (BP) levels: normotension (<120/80 mmHg) and prehypertension (120-139/80-89 mmHg). A total of 33 233 people had prehypertension, with a prevalence of 54.04% and 42% males. Both logistics regression models presented a positive association between each adiposity index and prehypertension (p < .05), except for ABSI. The body mass index (BMI) was slightly more correlated with prehypertension than any other index. The standardized ORs for the six indices were 1.392, 1.361, 1.406, 1.039, 1.372, and 1.151, respectively. Compared to other adiposity indices, the WC had a significantly higher area under the curve (AUC) for predicting prehypertension (AUC: .619, sensitivity: 57%, specificity: 60.6%). In conclusion, WC and BMI might be the best indicators for prehypertension. Increasing evidence supports avoiding obesity as a preferred primary prevention strategy for prehypertension while controlling other major hypertension risk factors.
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Affiliation(s)
- Mengyuan Xiao
- Department of Cardiovascular Medicinethe First Affiliated Hospital of Jinan UniversityGuangzhouChina
- Department of Cardiovascular Medicine CenterAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
- Department of CardiologyGuangdong Cardiovascular InstituteGuangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouChina
| | - Chaolei Chen
- Department of CardiologyGuangdong Cardiovascular InstituteGuangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouChina
| | - Jiabin Wang
- Department of CardiologyGuangdong Cardiovascular InstituteGuangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouChina
| | - Anping Cai
- Department of CardiologyGuangdong Cardiovascular InstituteGuangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouChina
| | - Dan Zhou
- Department of CardiologyGuangdong Cardiovascular InstituteGuangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouChina
| | - Guangyan Liu
- Gerontology CenterAffiliated Hospital of Guangdong Medical UniversityZhanjiangChina
| | - Yingqing Feng
- Department of Cardiovascular Medicinethe First Affiliated Hospital of Jinan UniversityGuangzhouChina
- Department of CardiologyGuangdong Cardiovascular InstituteGuangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouChina
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Gui J, Li Y, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Li J, Liu M, Hua Y, Zhang L. Obesity-and lipid-related indices as a predictor of hypertension in Mid-aged and Elderly Chinese: A Cross-sectional Study. RESEARCH SQUARE 2023:rs.3.rs-2708175. [PMID: 37034776 PMCID: PMC10081363 DOI: 10.21203/rs.3.rs-2708175/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Objective Middle-aged and elderly people in China probably suffer from hypertension. There is a close relationship between obesity-and lipid-related index and hypertension, which is recognized by recent studies. However, these studies have not systematically compared the relationship between the two. We aim to find the most effective obesity-and lipid-related index for predicting hypertension. Method A total of 9488 middle-aged and elderly people in China participated in this study. In this study, the subjects were divided into male and female groups by the definition of the 2018 Chinese Guidelines for Prevention and Treatment of Hypertension. Searching for the best predictors among 13 obesity-and lipid-related indicators through binary logistic regression analyses and receiver operator curve (ROC). These 13 indicators are body mass index (BMI), waist circumference (WC), waist-height ratio (WHtR), conicity index (CI), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), a body shape index (ABSI), body roundness index (BRI), triglyceride glucose index (TyG-index) and its correlation index (TyG-BMI, TyG-WC, TyG-WHtR). Results After adjusting bias, all 13 indexes are risk factors for hypertension. In ROC curve analysis, thirteen obesity-and lipid-related factors can predict the occurrence of hypertension. Among them, CVAI has the best prediction effect (male: AUC = 0.660, female: AUC = 0.699). AUC for WHtR was equal to that for BRI and TyG - WHtR in identifying hypertension in male. Similarly, AUC of TyG-BMI and BMI were the same. In females, AUC for WHtR and BRI were the same when predicting hypertension. AUC of ABSI was much lower than other test indexes. Conclusion In predicting hypertension, thirteen obesity-and lipid-related factors are effective. In addition, in males and females, CVAI is the best indicator to indicate hypertension. TyG-WHtR, WHtR, and BRI performed well in predicting metabolic syndrome in both males and females. ABSI has a poor ability to predict hypertension.
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Affiliation(s)
| | | | | | | | - Jinlong Li
- North China University of Science and Technology
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Azarbad A, Aghnia T, Gharibzadeh A, Rafati S, Hashemi SM, Zarei H, Kheirandish M. Cut-off points for anthropometric indices to screen for hypertension among Iranian adults of the Bandare-Kong cohort: a cross-sectional study. BMC Public Health 2022; 22:2064. [PMID: 36369024 PMCID: PMC9652962 DOI: 10.1186/s12889-022-14489-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/30/2022] [Indexed: 11/13/2022] Open
Abstract
Background Obesity is one of the major determinants of blood pressure. This study aimed to determine the optimal sex- and age-specific cut-off points of anthropometric indices, including body mass index (BMI), waist circumference (WC), hip circumference (HC), wrist circumference (WrC), waist-hip ratio (WHR), and waist-height ratio (WHtR), to screen for hypertension (HTN) in a cohort of Iranian adults aged 35 to 70 years, and to compare the predictive performance of the indices based on receiver operating characteristic (ROC) curves. Methods This population-based study was carried out on the participants aged 35 to 70 years of the Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort Study, a part of the Prospective Epidemiological Research Studies in IrAN (PERSIAN). Using the area under the receiver operating characteristic curve (AUC) and Youden's J index, optimal sex- and age-specific cut-off points of the anthropometric indices in association with HTN were calculated. Results This study included a total of 2256 females and 1722 males. HTN was diagnosed in 736 females (32.6%) and 544 males (31.6%). The optimal cut-off of WC for HTN was 90 cm in males and 95 cm in females, with an area under the ROC curve (AUROC) of 0.60 and 0.64, respectively. For HC, the optimal cut-off was 95 cm for males and 108 cm for females (AUROC = 0.54 for both). Moreover, WrC optimal cut-offs were 17 cm for males (AUROC = 0.56) and 15 cm for females (AUROC = 0.57). As for BMI, the optimal cut-off was 25 kg/m2 in males and 27 kg/m2 in females (AUROC of 0.59 and 0.60, respectively). Also, a cut-off of 0.92 was optimal for WHR in males (AUROC = 0.64) and 0.96 in females (AUROC = 0.67). On the other hand, WHtR optimal cut-offs were 0.52 for males and 0.60 for females (AUROC of 0.63 and 0.65, respectively). Conclusions WHR and WHtR, as anthropometric indices of obesity, were demonstrated to be significant predictors of HTN. Further, we suggest using WHR (cut-off point of 0.92 for males and 0.96 for females) and WHtR (cut-off point of 0.52 for males and 0.60 for females) as measures of preference to predict HTN among the southern Iranian population. Further multicenter longitudinal studies are recommended for a more accurate prediction of HTN.
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Almodóvar-Rivera IA, Rosario-Rosado RV, Nazario CM, Hernández-Santiago J, Ramírez-Marrero FA, Nunez M, Maharaj R, Adams P, Martinez-Brockman JL, Tessier-Sherman B, Nunez-Smith M. Development of the Anthropometric Grouping Index for the Eastern Caribbean Population Using the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study Data. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10415. [PMID: 36012047 PMCID: PMC9408472 DOI: 10.3390/ijerph191610415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/10/2022] [Accepted: 08/15/2022] [Indexed: 06/15/2023]
Abstract
Improving public health initiative requires an accurate anthropometric index that is better suited to a specific community. In this study, the anthropometric grouping index is proposed as a more efficient and discriminatory alternative to the popular BMI for the Eastern Caribbean population. A completely distribution-free cluster analysis was performed to obtain the 11 categories, leading to AGI-11. Further, we studied these groups using novel non-parametric clustering summaries. Finally, two generalized linear mixed models were fitted to assess the association between elevated blood sugar, AGI-11 and BMI. Our results showed that AGI-11 tends to be more sensitive in predicting levels of elevated blood sugar compared to BMI. For instance, individuals identified as obese III according to BMI are (POR: 2.57; 95% CI: (1.68, 3.74)) more likely to have elevated blood sugar levels, while, according to AGI, individuals with similar characteristics are (POR: 3.73; 95% CI: (2.02, 6.86)) more likely to have elevated blood sugar levels. In conclusion, the findings of the current study suggest that AGI-11 could be used as a predictor of high blood sugar levels in this population group. Overall, higher values of anthropometric measures correlated with a higher likelihood of high blood sugar levels after adjusting by sex, age, and family history of diabetes.
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Affiliation(s)
| | - Rosa V. Rosario-Rosado
- Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico at Medical Sciences Campus, San Juan 00936, Puerto Rico
| | - Cruz M. Nazario
- Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico at Medical Sciences Campus, San Juan 00936, Puerto Rico
| | - Johan Hernández-Santiago
- Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico at Medical Sciences Campus, San Juan 00936, Puerto Rico
| | - Farah A. Ramírez-Marrero
- Department of Exercise Physiology, University of Puerto Rico at Río Piedras, San Juan 00925, Puerto Rico
| | - Maxime Nunez
- School of Nursing, University of the Virgin Islands, St. Thomas, VI 00802, USA
| | - Rohan Maharaj
- Department of Paraclinical Sciences, University of the West Indies, Saint Augustine, Trinidad and Tobago
| | - Peter Adams
- Department of Family Medicine, Faculty of Medical Sciences, University of the West Indies, Cave Hill BB11000, Barbados
| | | | - Baylah Tessier-Sherman
- Equity Research and Innovation Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Marcella Nunez-Smith
- Equity Research and Innovation Center, Yale School of Medicine, New Haven, CT 06510, USA
- Department of Medicine, Yale School of Medicine, New Haven, CT 06510, USA
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Ge Q, Qi Z, Xu Z, Li M, Zheng H, Duan X, Chu M, Zhuang X. Comparison of different obesity indices related with hypertension among different sex and age groups in China. Nutr Metab Cardiovasc Dis 2021; 31:793-801. [PMID: 33549448 DOI: 10.1016/j.numecd.2020.11.022] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/16/2020] [Accepted: 11/23/2020] [Indexed: 11/20/2022]
Abstract
BACKGROUND AND AIMS To compare the relationships of five obesity-related routine anthropometric indicators (body mass index (BMI), body adiposity index (BAI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR)) for hypertension in both sexes and among different age groups of the Chinese population. METHODS AND RESULTS A total of 12,064 adult participants (5638 males and 6426 females) were included. Odds ratios (OR) and 95% confidence intervals were used with binary logistic regression models to estimate the risk of hypertension for each obesity index. For the males, WHtR had the highest OR value in all age groups. The degrees of correlation between hypertension and the obesity indices for different age groups were different among the females. WC, BMI, and WHtR were the highest in the 18-44, 45-59, and ≥60 years age groups, respectively. Furthermore, we compared the area under the ROC curve (AUC) of each obesity index for the criterion of hypertension under the influence of risk factors. For the males, the AUC of WHtR was the largest (0.814, 0.710, and 0.662). WC (AUC = 0.820), BMI (AUC = 0.765), and WHtR (AUC = 0.668) tended to be the best criteria for hypertension among females in the 18-44, 45-59, and ≥60 years age groups respectively. In addition, BAI, as an obesity indicator proposed in recent years, has a positive association with hypertension except in 18-44 years women, which was not stronger than other obesity indicators. CONCLUSIONS For males, WHtR appears to be the best obesity index related with hypertension. For young, middle-aged, and elderly women, the best obesity indices related with hypertension are WC, BMI, and WHtR, respectively.
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Affiliation(s)
- Qiwei Ge
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China
| | - Zhigang Qi
- Center for Disease Control of Chongchuan District, Nantong, China
| | - Zhengcheng Xu
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China
| | - Min Li
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China
| | - Huiyan Zheng
- Center for Disease Control of Chongchuan District, Nantong, China
| | - Xiaoyang Duan
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China
| | - Minjie Chu
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China
| | - Xun Zhuang
- Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China.
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Nikolov A, Popovski N. Role of Gelatinases MMP-2 and MMP-9 in Healthy and Complicated Pregnancy and Their Future Potential as Preeclampsia Biomarkers. Diagnostics (Basel) 2021; 11:diagnostics11030480. [PMID: 33803206 PMCID: PMC8001076 DOI: 10.3390/diagnostics11030480] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 02/28/2021] [Accepted: 03/04/2021] [Indexed: 12/19/2022] Open
Abstract
Gelatinases (matrix metalloproteinase-2 and -9) are enzymes from the matrix metalloproteinases (MMPs) family, which are associated with collagen degradation. MMP-2 is capable of cleaving gelatine, types I and IV collagens, while MMP-9 is incapable of direct proteolysis of collagen I and digests collagen type IV. MMP-2 and -9 are both important regulators of vascular and uterine remodeling in a healthy pregnancy. Alterations in the collagen structure of the uterus and spiral arteries are observed in women with hypertensive disorders of pregnancy. Dysregulation of MMP-2 and MMP-9 has been implicated in abnormal vasodilation, placentation, and uterine expansion in preeclampsia. Early preeclampsia detection is paramount for risk stratification and prevention of further complications. Understanding the role of MMP-2 and-9 in uteroplacental and vascular remodeling could help design new approaches for prediction and management of preeclampsia. This review presents a general survey of MMP-2 and MMP-9 faulty regulation and impaired collagen types I and IV turnover in complicated pregnancies. Their potential role as circulating markers for diagnosis, prognosis, and monitoring of preeclampsia development is discussed as well.
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Affiliation(s)
- Asparuh Nikolov
- Cardiovascular Research Working Group, Division of Medicine, Institute for Scientific Research, Medical University-Pleven, 5800 Pleven, Bulgaria
- Correspondence: ; Tel.: +359-88-710-0672
| | - Nikola Popovski
- Clinic of Obstetrics and Gynaecology, Department of Obstetrics and Gynaecology, University Hospital Pleven, Medical University-Pleven, 5800 Pleven, Bulgaria;
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Lin YA, Chen YJ, Tsao YC, Yeh WC, Li WC, Tzeng IS, Chen JY. Relationship between obesity indices and hypertension among middle-aged and elderly populations in Taiwan: a community-based, cross-sectional study. BMJ Open 2019; 9:e031660. [PMID: 31662394 PMCID: PMC6830829 DOI: 10.1136/bmjopen-2019-031660] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 09/13/2019] [Accepted: 09/18/2019] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE Obesity and hypertension (HTN) have become increasingly prevalent in Taiwan. People with obesity are more likely to have HTN. In this study, we evaluated several anthropometric measurements for the prediction of HTN in middle-aged and elderly populations in Taiwan. DESIGN Cross-sectional observational study. SETTING Community-based investigation in Guishan Township of northern Taiwan. PARTICIPANTS A total of 396 people were recruited from a northern Taiwan community for a cross-sectional study. Anthropometrics and blood pressure were measured at the annual health exam. The obesity indices included body mass index (BMI), body fat (BF) percentage and waist circumference (WC). OUTCOME MEASURES Statistical analyses, including Pearson's correlation, multiple logistic regression and the area under ROC curves (AUCs) between HTN and anthropometric measurements, were used in this study. RESULTS Of the 396 people recruited, 200 had HTN. The age-adjusted Pearson's coefficients of BMI, BF percentage and WC were 0.23 (p<0.001), 0.14 (p=0.01) and 0.26 (p<0.001), respectively. Multiple logistic regression of the HTN-related obesity indices showed that the ORs of BMI, BF percentage and WC were 1.15 (95% CI 1.08 to 1.23, p<0.001), 1.07 (95% CI 1.03 to 1.11, p<0.001) and 1.06 (95% CI 1.03 to 1.08, p<0.001), respectively. The AUCs of BMI, BF percentage and WC were 0.626 (95% CI 0.572 to 0.681, p<0.001), 0.556 (95% CI 0.500 to 0.613, p=0.052) and 0.640 (95% CI 0.586 to 0.694, p<0.001), respectively. CONCLUSIONS WC is a more reliable predictor of HTN than BMI or BF percentage. The effect of abdominal fat distribution on blood pressure is greater than that of total BF amount.
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Affiliation(s)
- Yen-An Lin
- Family Medicine, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan
| | - Ying-Jen Chen
- Division of General Internal Medicine and Geriatrics, Chang Gung Memorial Hospital Linkou Branch, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Chung Tsao
- Family Medicine, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan
- Occupational Medicine, Chang Gung Memorial Hospital Linkou Branch, Taoyuan, Taiwan
| | - Wei-Chung Yeh
- Family Medicine, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan
| | - Wen-Cheng Li
- Family Medicine, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan
- Health Management, Xiamen Chang Gung Hospital, Xiamen, China
| | - I-Shiang Tzeng
- Research, Taipei Tzu Chi General Hospital, New Taipei City, Taiwan
| | - Jau-Yuan Chen
- Family Medicine, Chang Gung Memorial Hospital Linkou Main Branch, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
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