101
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Casagrande M, Mingarelli A, Guarino A, Favieri F, Boncompagni I, Germanò R, Germanò G, Forte G. Alexithymia: A facet of uncontrolled hypertension. Int J Psychophysiol 2019; 146:180-189. [PMID: 31639379 DOI: 10.1016/j.ijpsycho.2019.09.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2019] [Revised: 09/05/2019] [Accepted: 09/12/2019] [Indexed: 10/25/2022]
Abstract
INTRODUCTION Proper control of blood pressure reduces the risk of developing cardiovascular and cerebrovascular complications in hypertensive people. However, this control remains mostly unsatisfactory. Although alexithymia has been associated with essential hypertension, no study has analysed the relationship between alexithymia and blood pressure control in drug-treated hypertension. This research aimed to analyse the presence and the characteristics of this relationship, considering both the pharmacological treatment and the achievement of adequate maintenance of blood pressure in a physiological range. METHOD One thousand two hundred and forty-one people participated in the study. Eight hundred and ten were hypertensive patients, and four hundred and thirty-one were normotensive people. The Toronto Alexithymia Scale-20 was used to assess alexithymia. RESULTS Results show that hypertensive people are more alexithymic than normotensive people. According to the presence of pharmacological treatment, treated hypertensive patients are more alexithymic than normotensive and not treated hypertensive patients. Considering the blood pressure control associated with the drug-therapy, people with uncontrolled hypertension are more alexithymic than normotensive and untreated hypertensive people. CONCLUSIONS These findings confirm a relationship between alexithymia and essential arterial hypertension, but they also highlight that alexithymia appears to be associated with higher severity of hypertension. Alexithymia could be a facet of uncontrolled hypertension.
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Affiliation(s)
- Maria Casagrande
- Dipartimento di Psicologia Dinamica e Clinica, Università di Roma "Sapienza", Italy.
| | | | - Angela Guarino
- Dipartimento di Psicologia, Università di Roma "Sapienza", Italy
| | | | | | - Rosanna Germanò
- Dipartimento di Scienze Cardiovascolari, Respiratorie, Nefrologiche e Geriatriche, Università di Roma "Sapienza", Italy
| | - Giuseppe Germanò
- Dipartimento di Scienze Cardiovascolari, Respiratorie, Nefrologiche e Geriatriche, Università di Roma "Sapienza", Italy
| | - Giuseppe Forte
- Dipartimento di Psicologia, Università di Roma "Sapienza", Italy
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102
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Kuna ST, Townsend RR, Keenan BT, Maislin D, Gislason T, Benediktsdóttir B, Gudmundsdóttir S, Arnardóttir ES, Sifferman A, Staley B, Pack FM, Guo X, Schwab RJ, Maislin G, Chirinos JA, Pack AI. Blood pressure response to treatment of obese vs non-obese adults with sleep apnea. J Clin Hypertens (Greenwich) 2019; 21:1580-1590. [PMID: 31532580 DOI: 10.1111/jch.13689] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Revised: 07/13/2019] [Accepted: 07/22/2019] [Indexed: 12/11/2022]
Abstract
Many patients with obstructive sleep apnea (OSA), but not all, have a reduction in blood pressure (BP) with positive airway pressure (PAP) treatment. Our objective was to determine whether the BP response following PAP treatment is related to obesity. A total of 188 adults with OSA underwent 24-hour BP monitoring and 24-hour urinary norepinephrine collection at baseline. Obesity was assessed by waist circumference, body mass index, and abdominal visceral fat volume. Participants adherent to PAP treatment were reassessed after 4 months. Primary outcomes were 24-hour mean arterial pressure (MAP) and 24-hour urinary norepinephrine level. Obstructive sleep apnea participants had a significant reduction in 24-hour MAP following PAP treatment (-1.22 [95% CI: -2.38, -0.06] mm Hg; P = .039). No significant correlations were present with any of the 3 obesity measures for BP or urinary norepinephrine measures at baseline in all OSA participants or for changes in BP measures in participants adherent to PAP treatment. Changes in BP measures following treatment were not correlated with baseline or change in urinary norepinephrine. Similar results were obtained when BP or urinary norepinephrine measures were compared between participants dichotomized using the sex-specific median of each obesity measure. Greater reductions in urinary norepinephrine were correlated with higher waist circumference (rho = -0.21, P = .037), with a greater decrease from baseline in obese compared to non-obese participants (-6.26 [-8.82, -3.69] vs -2.14 [-4.63, 0.35] ng/mg creatinine; P = .027). The results indicate that the BP response to PAP treatment in adults with OSA is not related to obesity or urinary norepinephrine levels.
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Affiliation(s)
- Samuel T Kuna
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA, USA.,Sleep Medicine Section, Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Raymond R Townsend
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brendan T Keenan
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA, USA
| | - David Maislin
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Thorarinn Gislason
- Sleep Department, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Bryndís Benediktsdóttir
- Sleep Department, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Sigrun Gudmundsdóttir
- Sleep Department, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Erna Sif Arnardóttir
- School of Science and Engineering, Reykjavik University, Reykjavik, Iceland.,Internal Medicine Services, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Andrea Sifferman
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Beth Staley
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Frances M Pack
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Xiaofeng Guo
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard J Schwab
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Greg Maislin
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA, USA.,Biomedical Statistical Consulting, Wynnewood, PA, USA
| | - Julio A Chirinos
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Allan I Pack
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA, USA
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103
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Ali N, Akram R, Sheikh N, Sarker AR, Sultana M. Sex-specific prevalence, inequality and associated predictors of hypertension, diabetes, and comorbidity among Bangladeshi adults: results from a nationwide cross-sectional demographic and health survey. BMJ Open 2019; 9:e029364. [PMID: 31530600 PMCID: PMC6756587 DOI: 10.1136/bmjopen-2019-029364] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 08/09/2019] [Accepted: 08/19/2019] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVES To determine the sex-specific prevalence, inequality and factors associated with healthcare utilisation for diabetes mellitus (DM), hypertension and comorbidity among the adult population of Bangladesh. STUDY DESIGN This study analysed cross-sectional nationwide Bangladesh Demographic and Health Survey data from 2011. Comorbidity was defined as the coexistence of both DM and hypertension. Several socioeconomic and demographic factors such as age, sex, education, geographic location, administrative division, employment status, education and wealth index were considered as major explanatory variables. Inequality in prevalence and healthcare utilisation was measured using the 'Lorenz curve'. Adjusted multiple logistic regression models were performed to observe the effects of different factors and reported as adjusted ORs (AORs) with 95% CIs. A p value of <0.05 was adopted as the level of statistical significance. SETTING The study was conducted in Bangladesh. PARTICIPANTS A total of 7521 adult participants with availability of biomarkers information were included. RESULTS The mean age of the study participants was 51.4 years (SD ±13.0). The prevalence of hypertension, diabetes and comorbidity were 29.7%, 11.0% and 4.5% respectively. Socioeconomic inequality was observed in the utilisation of healthcare services. A higher prevalence of hypertension and comorbidity was significantly associated with individuals aged >70 years (AOR 7.0, 95% CI 5.0 to 9.9; AOR 6.7, 95% CI 3.0 to 14.9). The risk of having hypertension, diabetes and comorbidity were significantly higher among more educated, unemployed as well as among individuals from Khulna division. CONCLUSIONS The study revealed a rising prevalence of hypertension, diabetes and comorbidity with inequality in service utilisation. A joint effort involving public, private and non-governmental organisations is necessary to ensure improved accessibility in service utilisation and to reduce the disease burden.
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Affiliation(s)
- Nausad Ali
- Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Raisul Akram
- Bangladesh Institute of Development Studies, Dhaka, Bangladesh
| | - Nurnabi Sheikh
- Institute of Health Economics, University of Dhaka, Dhaka, Bangladesh
| | | | - Marufa Sultana
- Nutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
- Deakin Health Economics, School of Health and Social Development, Deakin University, Melbourne, Victoria, Australia
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104
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Combined effect of weight gain within normal weight range and parental hypertension on the prevalence of hypertension; from the J-MICC Study. J Hum Hypertens 2019; 34:125-131. [PMID: 31481698 DOI: 10.1038/s41371-019-0230-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 04/22/2019] [Accepted: 06/12/2019] [Indexed: 11/08/2022]
Abstract
The aim of this study is to show the combined effect of weight gain within normal weight range in adulthood and parental HT on the prevalence of HT. The study subjects were 44,998 individuals (19,039 men and 25,959 women) with normal weight (body mass index [BMI] 18.5-24.9) aged 35-69 years who participated in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. They were categorized into six groups by weight gain from age 20 years (<10 kg, and ≥10 kg) and by the number of parents having HT (no parent, one parent, and both parents). Odds ratios for HT were estimated after adjustment for age, sex, current BMI, estimated daily sodium intake, and other confounding factors. The prevalence of HT (31.5% in total subjects) gradually increased with greater weight gain from age 20 years and with greater number of parents with HT. Subjects who gained weight ≥10 kg and having both parents with HT showed the highest risk of having HT compared with those who gained weight <10 kg without parental HT (59.8% vs. 24.9%, odds ratio 4.25, 95% CI 3.53-5.13 after adjustment). This association was similarly observed in any category of age, sex, and BMI. Subjects who gained weight within normal range of BMI and having one or both parent(s) with HT showed the higher risk of having HT independent of their attained BMI in their middle ages. Thus, subjects having parent(s) with HT should avoid gaining their weight during adulthood, even within normal range of BMI, to reduce the risk of having HT.
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105
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Santiago ERC, Diniz ADS, Oliveira JS, Leal VS, Andrade MISD, Lira PICD. Prevalence of Systemic Arterial Hypertension and Associated Factors Among Adults from the Semi-Arid Region of Pernambuco, Brazil. Arq Bras Cardiol 2019; 113:687-695. [PMID: 31432978 PMCID: PMC7020861 DOI: 10.5935/abc.20190145] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 01/23/2019] [Indexed: 12/11/2022] Open
Abstract
Background Systemic arterial hypertension is a substantial public health problem responsible for millions of deaths per year worldwide. However, little is known about the epidemiology of this disease in areas distant from large urban centers in Brazil. Such information is necessary to plan health promotion strategies. Objective To estimate the prevalence of hypertension and determine its associated factors in adults residing in the semi-arid region of the state of Pernambuco, Northeastern Brazil. Method This is a cross-sectional study conducted with a random sample of male and female adults. Individuals with systolic blood pressure ≥ 140 mm/Hg and/or diastolic blood pressure ≥ 90 mm/Hg and those who reported being under treatment with antihypertensive drugs were considered hypertensive. We collected data on demographic, socioeconomic, behavioral, and anthropometric characteristics, as well as health and nutrition. The statistical analysis used Pearson’s chi-square test, the chi-square test for trend, and multivariate Poisson regression analysis. A p-value < 0.05 in the final model was considered indicative of statistical significance. Results The sample consisted of 416 individuals, and the prevalence of hypertension was 27.4% (95%CI 23.2 - 32.0). In the final model, the independent predictors of hypertension were age of 40 years or older (p = 0.000), low economic class (p = 0.007), smoking (p = 0.023), overweight determined by the body mass index (p = 0.003), and reduced glucose tolerance/diabetes mellitus (p = 0.012). Conclusion The prevalence of hypertension was high and related to important risk factors. Thus, prevention and control strategies are recommended.
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Affiliation(s)
| | - Alcides da Silva Diniz
- Universidade Federal de Pernambuco - Programa de Pós-graduação em Nutrição, Recife, PE - Brazil
| | - Juliana Souza Oliveira
- Universidade Federal de Pernambuco - Núcleo de Nutrição, Vitória de Santo Antão, PE - Brazil
| | - Vanessa Sá Leal
- Universidade Federal de Pernambuco - Núcleo de Nutrição, Vitória de Santo Antão, PE - Brazil
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106
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Fantin F, Giani A, Zoico E, Rossi AP, Mazzali G, Zamboni M. Weight Loss and Hypertension in Obese Subjects. Nutrients 2019; 11:E1667. [PMID: 31330870 PMCID: PMC6682923 DOI: 10.3390/nu11071667] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 07/15/2019] [Accepted: 07/16/2019] [Indexed: 02/07/2023] Open
Abstract
Arterial hypertension is strongly related to overweight and obesity. In obese subjects, several mechanisms may lead to hypertension such as insulin and leptin resistance, perivascular adipose tissue dysfunction, renal impairment, renin-angiotensin-aldosterone-system activation and sympathetic nervous system activity. Weight loss (WL) seems to have positive effects on blood pressure (BP). The aim of this review was to explain the mechanisms linking obesity and hypertension and to evaluate the main studies assessing the effect of WL on BP. We analysed studies published in the last 10 years (13 studies either interventional or observational) showing the effect of WL on BP. Different WL strategies were taken into account-diet and lifestyle modification, pharmacological intervention and bariatric surgery. Although a positive effect of WL could be identified in each study, the main difference seems to be the magnitude and the durability of BP reduction over time. Nevertheless, further follow-up data are needed: there is still a lack of evidence about long term effects of WL on hypertension. Hence, given the significant results obtained in several recent studies, weight management should always be pursued in obese patients with hypertension.
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Affiliation(s)
- Francesco Fantin
- Department of Medicine, Section of Geriatrics, University of Verona Healthy Aging Center, Verona, Piazzale Stefani 1, 37126 Verona, Italy.
| | - Anna Giani
- Department of Medicine, Section of Geriatrics, University of Verona Healthy Aging Center, Verona, Piazzale Stefani 1, 37126 Verona, Italy
| | - Elena Zoico
- Department of Medicine, Section of Geriatrics, University of Verona Healthy Aging Center, Verona, Piazzale Stefani 1, 37126 Verona, Italy
| | - Andrea P Rossi
- Department of Medicine, Section of Geriatrics, University of Verona Healthy Aging Center, Verona, Piazzale Stefani 1, 37126 Verona, Italy
| | - Gloria Mazzali
- Department of Medicine, Section of Geriatrics, University of Verona Healthy Aging Center, Verona, Piazzale Stefani 1, 37126 Verona, Italy
| | - Mauro Zamboni
- Department of Medicine, Section of Geriatrics, University of Verona Healthy Aging Center, Verona, Piazzale Stefani 1, 37126 Verona, Italy
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107
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Guo X, Xu Y, He H, Cai H, Zhang J, Li Y, Yan X, Zhang M, Zhang N, Maddela RL, Ma G. Visceral fat reduction is positively associated with blood pressure reduction in overweight or obese males but not females: an observational study. Nutr Metab (Lond) 2019; 16:44. [PMID: 31320919 PMCID: PMC6617559 DOI: 10.1186/s12986-019-0369-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 06/18/2019] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Visceral adiposity has been reported to play a key role in hypertension compared with other measurements of regional or general obesity. The aim of current study was to evaluate the relationship between visceral fat reduction and changes in blood pressure in a group of overweight or obese Chinese individuals. METHODS An observational study was conducted with 168 participants (ChiCTR-OOC-17012000). Body composition, blood parameters and blood pressure were assessed at the beginning and end of the intervention. Males and females were categorized separately into quartiles according to changes in visceral fat during the intervention. Multiple linear regression models were used to assess the associations of changes in systolic and diastolic blood pressure with changes of visceral fat area, adjusted for potential confounders. RESULTS Changes in visceral fat was significantly associated with systolic and diastolic blood pressure in men for systolic (β = 0.234, 95% CI: 0.103, 0.365; p = 0.001) and diastolic blood pressure (β = 0.237; 95% CI: 0.127, 0.346; p <0.001), but not in women after adjustment for the same potential confounders for systolic blood (β = - 0.003, 95% CI: - 0.260, 0.255; p = 0.984) and diastolic blood pressure (β = 0.101, 95% CI: - 0.072, 0.273; p = 0.249). CONCLUSIONS A positive association was observed between reduction in visceral fat and improvements in both systolic blood and diastolic blood pressures in males but not females in a 12-week meal replacement intervention. TRIAL REGISTRATION The Ethics Committee of Peking University Health Science Center approved the study protocol on 6 July 2017. The authors confirm that all ongoing and related trials for this intervention were carried out following the rules of the Declaration of Helsinki of 1975 and registered (ChiCTR-OOC-17012000). http://www.chictr.org.cn/showprojen.aspx?proj=20426.
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Affiliation(s)
- Xiaohui Guo
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
| | - Yifan Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
| | - Hairong He
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
| | - Hao Cai
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
| | - Jianfen Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
| | - Yibin Li
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
| | - Xinyu Yan
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
| | - Man Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
| | - Na Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
| | - Rolando L. Maddela
- USANA Health Sciences, Inc., 3838 W Parkway Boulevard, West Valley City, UT 84120 USA
| | - Guansheng Ma
- Department of Nutrition and Food Hygiene, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
- Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, 38 Xue Yuan Road, Haidian District, Beijing, 100191 China
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108
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Ren J, Fu L, Nile SH, Zhang J, Kai G. Salvia miltiorrhiza in Treating Cardiovascular Diseases: A Review on Its Pharmacological and Clinical Applications. Front Pharmacol 2019; 10:753. [PMID: 31338034 PMCID: PMC6626924 DOI: 10.3389/fphar.2019.00753] [Citation(s) in RCA: 184] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Accepted: 06/11/2019] [Indexed: 12/11/2022] Open
Abstract
Bioactive chemical constitutes from the root of Salvia miltiorrhiza classified in two major groups, viz., liposoluble tanshinones and water-soluble phenolics. Tanshinone IIA is a major lipid-soluble compound having promising health benefits. The in vivo and in vitro studies showed that the tanshinone IIA and salvianolate have a wide range of cardiovascular and other pharmacological effects, including antioxidative, anti-inflammatory, endothelial protective, myocardial protective, anticoagulation, vasodilation, and anti-atherosclerosis, as well as significantly help to reduce proliferation and migration of vascular smooth muscle cells. In addition, some of the clinical studies reported that the S. miltiorrhiza preparations in combination with Western medicine were more effective for treatment of various cardiovascular diseases including angina pectoris, myocardial infarction, hypertension, hyperlipidemia, and pulmonary heart diseases. In this review, we demonstrated the potential applications of S. miltiorrhiza, including pharmacological effects of salvianolate, tanshinone IIA, and its water-soluble derivative, like sodium tanshinone IIA sulfonate. Moreover, we also provided details about the clinical applications of S. miltiorrhiza preparations in controlling the cardiovascular diseases.
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Affiliation(s)
- Jie Ren
- Institute of Plant Biotechnology, School of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Li Fu
- Institute of Plant Biotechnology, School of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Shivraj Hariram Nile
- Laboratory of Medicinal Plant Biotechnology, College of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jun Zhang
- Institute of Plant Biotechnology, School of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Guoyin Kai
- Institute of Plant Biotechnology, School of Life Sciences, Shanghai Normal University, Shanghai, China.,Laboratory of Medicinal Plant Biotechnology, College of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China
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109
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Niriayo YL, Ibrahim S, Kassa TD, Asgedom SW, Atey TM, Gidey K, Demoz GT, Kahsay D. Practice and predictors of self-care behaviors among ambulatory patients with hypertension in Ethiopia. PLoS One 2019; 14:e0218947. [PMID: 31242265 PMCID: PMC6594646 DOI: 10.1371/journal.pone.0218947] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 06/12/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Despite the benefits of evidence-based self-care behaviors in the management of hypertension, hypertensive patients have low rate of adherence to the recommended self-care behaviors. Studies related to self-care behaviors among hypertensive patients are limited in Ethiopia. OBJECTIVE To assess the rate of adherence to self-care behaviors and associated factors among hypertensive patients. METHOD A cross-sectional study was conducted at the cardiac clinic of Ayder comprehensive specialized hospital among ambulatory hypertensive patients. Self-care behaviors were assessed using an adopted Hypertension Self-Care Activity Level Effects (H-SCALE). Data were collected through patient interview and review of medical records. Binary logistic regression analysis was performed to identify predictors of self-care behaviors. RESULT A total of 276 patients were included in the study. The majority of the participants were nonsmokers (89.9%) and alcohol abstainers (68.8%). Less than half of the participants were adherent to the prescribed antihypertensive medications (48.2%) and recommended physical activity level (44.9%). Moreover, only 21.45% and 29% were adherent to weight management and low salt diet recommendations, respectively. Our finding indicated that rural resident (adjusted odds ratio [AOR]: 0.45, 95% confidence interval [CI]: 0.21-0.97), comorbidity (AOR: 0.16, 95% CI: 0.08-0.31), and negative medication belief (AOR: 0.25, 95% CI: 0.14-0.46) were significantly associated with medication adherence. Female sex (AOR: 0.46, 95% CI: 0.23-0.92), old age (AOR: 0.19, 95% CI: 0.06-0.60) and lack of knowledge on self-care behaviors (AOR: 0.13, 95% CI: 0.03-0.57) were significantly associated with adherence to weight management. Female sex (AOR: 1.97, 95% CI: 1.03-3.75) and lack of knowledge on self-care (AOR: 0.07, 95% CI: 0.03-0.16) were significantly associated with adherence to alcohol abstinence. Female sex (AOR: 6.33, 95% CI: 1.80-22.31) and khat chewing (AOR: 0.08, 95% CI: 0.03-0.24) were significantly associated with non-smoking behavior. There was also a significant association between female sex and physical activity (AOR: 0.22, 95% CI: 0.12-0.40). CONCLUSION The rate of adherence to self-care behaviors particularly weight management, low salt intake, physical exercise, and medication intake was low in our study. Elders, females, khat chewers, rural residents, and patients with negative medication belief, comorbidity, and inadequate knowledge of SCBs were less adherent to self-care behaviors compared to their counterparts. Therefore, health care providers should pay more emphasis to patients at risk of having low self-care behaviors.
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Affiliation(s)
- Yirga Legesse Niriayo
- Department of Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia
- * E-mail: ,
| | - Seid Ibrahim
- Department of Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia
| | - Tesfaye Dessale Kassa
- Department of Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia
| | - Solomon Weldegebreal Asgedom
- Department of Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia
| | - Tesfay Mahari Atey
- Department of Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia
| | - Kidu Gidey
- Department of Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia
| | - Gebre Teklemariam Demoz
- Clinical Pharmacy and Pharmacy Practice Unit, Department of Pharmacy, College of Health Sciences, Aksum University, Aksum, Tigray, Ethiopia
| | - Desalegn Kahsay
- Department of Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Tigray, Ethiopia
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Predictors of Hypertension among Adult Female Population in Kpone-Katamanso District, Ghana. Int J Hypertens 2019; 2019:1876060. [PMID: 31308975 PMCID: PMC6594299 DOI: 10.1155/2019/1876060] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 04/26/2019] [Accepted: 05/28/2019] [Indexed: 01/01/2023] Open
Abstract
Background. Hypertension is an independent risk factor of cardiovascular disease, which is one of the biggest health challenges today. The objective of this study was to estimate the prevalence of the problem and other factors related to hypertension among women who are 25 years and above. Methods. A community-based cross-sectional study was conducted from September and November 2017. A multistage cluster sampling technique was used to select the study participants. The data was collected using a structured questionnaire and physical measurements adapted from "WHO STEPwise approach to chronic disease risk factor surveillance (STEPS)." Data were examined using the SPSS program IBM version 20. Descriptive statistics, including proportions, frequencies, and cross-tabulations, were used to summarize the study variables. A binary logistic regression was fitted variable with a p value of < 0.7. The bivariable analyses were entered in the multivariable analysis to control the possible effect of confounders. Multivariable logistic regression analysis was used to identify factors associated with hypertension. The Adjusted Odds Ratio (AOR) with a 95 % Confidence Interval (CI) was computed to show the level of certainty. A p value of <0.05 was considered statistically significant. Results. The study indicated that the prevalence of hypertension (BP ≥ 140/90 mmHg) was 33.8% (95% CI 27.4-40.2) which increased with age. At the time of the study, women aged 45-64 years [AOR =2.19, (95% CI: 1.11-4.34, p<0.02)] and 65+ years [AOR =5.13, (95% CI: 2.20-11.99), p<0.001] were two to five times as likely as those with age of 25-44 years to be hypertensive. Women who had a higher body mass index (BMI) ≥30 kg/m2were two times as likely as those with normal weight to be hypertensive [AOR 2.38, (95% CI; 1.14-4.95, p<0.02)]. Women who did not consume fresh fruit daily were three times as likely as those women who consume fresh fruit daily to be hypertensive [AOR 3.17 (95% CI; 1.05-9.55, p<0.04)]. Conclusion. Increasing age, obesity, and women who did not consume fresh fruits daily were associated with hypertension, indicating opportunities for health education and other prevention measures.
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Abstract
PURPOSE OF REVIEW This review discusses recent evidence on the association of dietary carbohydrates (quantity, quality, and timing of intake) with hypertension (HTN) risk and out-of-clinic blood pressure (BP) measures. RECENT FINDINGS Studies on carbohydrate quantity are inconclusive, but low carbohydrate diets may be associated with lower BP. Plant-based carbohydrate-containing foods such as fruits, vegetables, and whole grains may lower HTN risk and 24-h BP. Excessive sugar intakes from sugar-sweetened beverages are associated with higher BP levels and HTN risk, with evidence of a dose-response relationship. Preliminary data suggest that timing of carbohydrate intake may influence HTN risk and 24-h BP. The role of carbohydrate nutrition in HTN's etiology warrants further investigation. Additional studies are needed to investigate the influence of dietary carbohydrates on HTN risk and the circadian pattern of BP, evaluate potential sex and racial/ethnic differences in these associations, and elucidate underlying mechanisms.
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Burden of Disease Attributable to Obesity and Overweight in Colombia. Value Health Reg Issues 2019; 20:66-72. [PMID: 31035116 DOI: 10.1016/j.vhri.2019.02.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Revised: 11/13/2018] [Accepted: 02/01/2019] [Indexed: 12/27/2022]
Abstract
OBJECTIVES To estimate the burden of disease attributable to obesity and overweight conditions using disability-adjusted life-years (DALYs) in Colombia. METHODS The burden of disease was estimated following an adapted methodology published by the World Health Organization. A selection of diseases was performed in which overweight and obesity are risk factors. DALYs were calculated by obtaining the proportion of cases and deaths of every disease that can be attributable to obesity and overweight conditions. The economic impact of obesity was calculated by multiplying the cost of care per patient for each comorbidity by the number of cases attributable exclusively to obesity. RESULTS A total of 997 371 DALYs were estimated, 45% of which corresponded to men; 81% of DALYs corresponded to years lived with disability. Conditions with greater attributable DALYs are, in order, hypertension (31.6% of the total DALYs), type 2 diabetes mellitus (28.0%), cardiac ischemic disease (14.6%), and lower back pain (11.2%). An estimation of 20.5 DALYs per 1000 inhabitants was made. The economic impact of care for comorbidities associated with obesity could amount to $2158 million. CONCLUSIONS Obesity and overweight conditions are related to higher mortality and disability than previously estimated; effective interventions aimed at prevention and treatment will have a high impact on quality of life.
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Huang Y, Deng Z, Se Z, Bai Y, Yan C, Zhan Q, Zeng Q, Ouyang P, Dai M, Xu D. Combined impact of risk factors on the subsequent development of hypertension. J Hypertens 2019; 37:696-701. [PMID: 30817449 DOI: 10.1097/hjh.0000000000001956] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES This study aimed to develop a cumulative score composed of seven risk factors: age, resting heart rate, overweight or obesity, dyslipidemia, hyperuricemia, impaired glucose regulation, and impaired estimated glomerular filtration rate (eGFR), to evaluate the risk of new-onset hypertension. METHODS We retrospectively conducted a cohort study in 23 665 participants free from hypertension at baseline, who attended at least two annual health examinations between 2011 and 2016. We defined hypertension as SBP of 140 mmHg or less and/or DBP of at least 90 mmHg, according to the 2010 Chinese guidelines for the management of hypertension. We computed a composite, individual-level cumulative score incorporating all seven risk factors (no = 0 point; yes = 1 point; total range 0-7 points). Cox regression was used to analyze the association between cumulative score and risk of hypertension. RESULTS A total of 2305 participants developed hypertension during a median follow-up period of 3.6 years. Compared with participants with 0 points, the adjusted hazard ratios (95% confidence intervals) for the development of hypertension for those with 2, 3, and at least 4 points were 1.61 (1.29-2.02), 2.05 (1.64-2.57) and 2.77 (2.22-3.46), respectively (P trend < 0.001). This association was present after adjustment for sex and baseline blood pressure. CONCLUSION Age, resting heart rate, overweight or obesity, dyslipidemia, hyperuricemia, impaired glucose regulation, and impaired eGFR were associated with significant risk of new-onset hypertension and when combined there was an accumulation of risk.
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Affiliation(s)
- Yuli Huang
- State Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou
- Department of Cardiology, Shunde Hospital, Southern Medical University, Foshan
| | - Zhihui Deng
- State Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou
| | - Zhen Se
- State Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou
| | - Yujia Bai
- State Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou
| | - Chuanjie Yan
- Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Qiong Zhan
- State Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou
| | - Qingchun Zeng
- State Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou
| | - Ping Ouyang
- Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Meng Dai
- Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Dingli Xu
- State Key Laboratory of Organ Failure Research, Department of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou
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Schmidt K, Kelley W, Tringali S, Huang J. Achieving control of resistant hypertension: Not just the number of blood pressure medications. World J Hypertens 2019; 9:1-16. [DOI: 10.5494/wjh.v9.i1.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Revised: 01/11/2019] [Accepted: 01/22/2019] [Indexed: 02/06/2023] Open
Abstract
Resistant hypertension (RH) has a prevalence of around 12% and is associated with an increased risk of cardiovascular disease, progression to end-stage renal disease, and even mortality. In 2017, the American College of Cardiology and American Heart Association released updated guidelines that detail steps to ensure proper diagnosis of RH, including the exclusion of pseudoresistance. Lifestyle modifications, such as low salt diet and physical exercise, remain at the forefront of optimizing blood pressure control. Secondary causes of RH also need to be investigated, including screening for obstructive sleep apnea. Notably, the guidelines demonstrate a major change in medication management recommendations to include mineralocorticoid receptor antagonists. In addition to advances in medication optimization, there are several device-based therapies that have been showing efficacy in the treatment of RH. Renal denervation therapy has struggled to show efficacy for blood pressure control, but with a re-designed catheter device, it is once again being tested in clinical trials. Carotid baroreceptor activation therapy (BAT) via an implantable pulse generator has been shown to be effective in lowering blood pressure both acutely and in long-term follow up data, but there is some concern about the safety profile. Both a second-generation pulse generator and an endovascular implant are being tested in new clinical trials with hopes for improved safety profiles while maintaining therapeutic efficacy. Both renal denervation and carotid BAT need continued study before widespread clinical implementation. Central arteriovenous anastomosis has emerged as another possible therapy and is being actively explored. The ongoing pursuit of blood pressure control is a vital part of minimizing adverse patient outcomes. The future landscape appears hopeful for helping patients achieve blood pressure goals not only through the optimization of antihypertensive medications but also through device-based therapies in select individuals.
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Affiliation(s)
- Kara Schmidt
- Department of Internal Medicine, University of California San Francisco-Fresno Medical Education Program, Fresno, CA 93701, United States
| | - William Kelley
- Department of Internal Medicine, University of California San Francisco-Fresno Medical Education Program, Fresno, CA 93701, United States
| | - Steven Tringali
- Department of Internal Medicine, University of California San Francisco-Fresno Medical Education Program, Fresno, CA 93701, United States
| | - Jian Huang
- Department of Internal Medicine, University of California San Francisco-Fresno Medical Education Program, Fresno, CA 93701, United States
- Medicine Service, VA Central California Health Care System, Fresno, CA 93703, United States
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Graff TC, Luke SG, Birmingham WC. Supportive hand-holding attenuates pupillary responses to stress in adult couples. PLoS One 2019; 14:e0212703. [PMID: 30794665 PMCID: PMC6386442 DOI: 10.1371/journal.pone.0212703] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 02/07/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Social relationships, particularly marriage, have been shown to ameliorate the potentially pathogenic impact of stressful events but prior research has been mostly aimed at downstream effects, with less research on real-time reactivity. Pupillometry is an innovative procedure that allows us to see the effects of acute stress in real time. The muscles that control pupil size are linked to the autonomic nervous system, so that when stressed, the pupils dilate; this occurs within 200ms. This quick response allows us to see the immediate effects of acute stress on the autonomic nervous system (ANS), and the real-time effects of social support in buffering stress. PURPOSE The purpose of this study is to examine the dampening effects of received social support on the ANS's pupillary response. METHODS Eighty individuals (40 couples) were randomly assigned to either a spousal support (i.e., spouse hand-holding) or non-support condition (i.e., alone) and administered a Stroop task while pupil dilation was measured. RESULTS The Stroop task elicited a stress reaction in terms of pupil dilation in response to the incongruent task trials. Participants in the support condition showed accelerated habituation to the stress task (p < .001), and less pupil reactivity (p < .001) providing evidence for buffering effects of social support via spousal presence and hand-holding. CONCLUSIONS These results reveal the speed at which stress-buffering occurs, suggesting that pupillometry could be a good method to address the immediate dampening effects of social support.
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Affiliation(s)
- Tyler C. Graff
- Department of Psychology, Brigham Young University, Provo, Utah, United States of America
| | - Steven G. Luke
- Department of Psychology, Brigham Young University, Provo, Utah, United States of America
| | - Wendy C. Birmingham
- Department of Psychology, Brigham Young University, Provo, Utah, United States of America
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Andriolo V, Dietrich S, Knüppel S, Bernigau W, Boeing H. Traditional risk factors for essential hypertension: analysis of their specific combinations in the EPIC-Potsdam cohort. Sci Rep 2019; 9:1501. [PMID: 30728434 PMCID: PMC6365562 DOI: 10.1038/s41598-019-38783-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 01/03/2019] [Indexed: 11/30/2022] Open
Abstract
Appropriate interventions might improve the prevention of essential hypertension. This requires a comprehensive view of modifiable lifestyle factors (MLFs) distribution and effect. To determine how six MLFs (general adiposity, abdominal adiposity, alcohol consumption, smoking, diet, physical inactivity) for risk of hypertension are distributed and how their combinations affect the risk, a prospective study cohort of 11,923 healthy participants from the population-based European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study was used. Of these, 1,635 developed hypertension during a mean follow-up of 10.3 years. Mutually exclusive combinations, clustering and interactions of MLFs were then investigated stratifying by sex, Hazard Ratios (HRs) and Population Attributable Risks (PARs%) were calculated. General adiposity alone was sufficient to increase the risk of hypertension (HR = 1.86, PAR% 3.36), and in this cohort it played a major role in enhancing the risk of hypertension, together with smoking and physical inactivity. MLFs had a different impact and a different modulation of risk in women and men, and they showed a remarkable tendency to occur in specific patterns with higher prevalence than expected. This indication can help to promote a holistic approach through multifactorial preventive strategies addressing more than a factor at a time. For prevention of hypertension addressing adiposity together with smoking, promoting at the same time physical activity should be the first choice.
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Affiliation(s)
- Violetta Andriolo
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbrücke (DIfE), Germany.
| | - Stefan Dietrich
- Department of Molecular Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbrücke (DIfE), Germany
| | - Sven Knüppel
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbrücke (DIfE), Germany
| | - Wolfgang Bernigau
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbrücke (DIfE), Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbrücke (DIfE), Germany
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Metabolic Syndrome: Preventive Effects of Dietary Flavonoids. STUDIES IN NATURAL PRODUCTS CHEMISTRY 2019. [DOI: 10.1016/b978-0-444-64181-6.00001-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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118
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Martinez-Gomez D, Esteban-Cornejo I, Lopez-Garcia E, García-Esquinas E, Sadarangani KP, Veiga OL, Rodriguez-Artalejo F. Physical activity less than the recommended amount may prevent the onset of major biological risk factors for cardiovascular disease: a cohort study of 198 919 adults. Br J Sports Med 2018; 54:238-244. [DOI: 10.1136/bjsports-2018-099740] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/30/2018] [Indexed: 11/04/2022]
Abstract
ObjectivesWe examined the dose–response relationship between physical activity (PA) and incidence of cardiovascular disease (CVD) risk factors in adults in Taiwan.MethodsThis study included 1 98 919 participants, aged 18–97 years, free of CVD, cancer and diabetes at baseline (1997–2013), who were followed until 2016. At baseline, participants were classified into five PA levels: inactive’ (0 metabolic equivalent of task (MET)-h/week), ‘lower insufficiently active’ (0.1–3.75 MET-h/week), ‘upper insufficiently active’ (3.75–7.49 MET-h/week), ‘active’ (7.5–14.99 MET-h/week) and ‘highly active’ (≥15 MET-h/week]. CVD risk factors were assessed at baseline and at follow-up by physical examination and laboratory tests. Analyses were performed with Cox regression and adjusted for the main confounders.ResultsDuring a mean follow-up of 6.0±4.5 years (range 0.5–19 years), 20 447 individuals developed obesity, 19 619 hypertension, 21 592 hypercholesterolaemia, 14 164 atherogenic dyslipidaemia, 24 275 metabolic syndrome and 8548 type 2 diabetes. Compared with inactive participants, those in the upper insufficiently active (but not active) category had a lower risk of obesity (HR 0.92; 95% CI 0.88 to 0.95), atherogenic dyslipidaemia (0.96; 0.90 to 0.99), metabolic syndrome (0.95; 0.92 to 0.99) and type 2 diabetes (0.91; 0.86 to 0.97). Only highly active individuals showed a lower incidence of CVD risk factors than their upper insufficiently active counterparts.ConclusionCompared with being inactive, doing half the recommended amount of PA is associated with a lower incidence of several common biological CVD risk factors. Given these benefits, half the recommended amount of PA is an evidence based target for inactive adults.
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119
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Terho A, Bloigu R, Bloigu A, Niemelä O, Tulppo M, Kesäniemi YA, Ukkola O. Life style habits, biochemical factors and their interaction in the prediction of incident hypertension during 21-year follow-up. Blood Press 2018; 28:40-48. [PMID: 30479170 DOI: 10.1080/08037051.2018.1540923] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BACKGROUND Hypertension is a global health threat and major cardiovascular risk. Various risk-prediction models for incident hypertension have been developed but not many of them have studied the risk-predictive value of life style factors in combination with cardiovascular biomarkers during long-term period of over 10 years. METHODS We examined differences in several classical variables for 299 subjects in OPERA (Oulu Project Elucidating Risk of Atherosclerosis) cohort in subjects with no or new hypertension during a follow-up period of 21 years. Effect of both various life style habits and biomarkers were investigated. RESULTS Baseline blood pressure, being overweight and smoking actively were independent predictors of new hypertension in majority of multivariate models during long-term follow-up of 21 years in subjects without previous hypertension. Increased high-sensitive C-reactive protein (hsCRP) level (> 3 mg/L) was the strongest predictor of incident hypertension in univariate model. Subjects with two or all three of main risk factors (being overweight, smoking actively and having high hsCRP) had 4-fold risk for incident hypertension. CONCLUSIONS Smoking, overweight and increased hsCRP level had risk-predictive value in incident hypertension prediction during long-term follow-up of 21 years. Assessment and measurement of these parameters could be used in help of detecting high risk subjects and primary prevention of hypertension very early on. In addition, the study shows that blood pressure at the middle-age should be followed and treated intensively to prevent hypertension in the older age. KEY MESSAGES Baseline blood pressure, being overweight and smoking actively are independent predictors of new hypertension during a long-term follow-up of 21 years. Having two or all three risk factors (smoking actively, body mass index over 25 kg/m2, high-sensitive C-reactive protein (hsCRP) level over 3 mg/L) indicates a 4-fold risk for incident hypertension within 21-year follow-up.
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Affiliation(s)
- Aleksi Terho
- a Medical Research Center Oulu, Oulu University Hospital , University of Oulu , Oulu , Finland
| | - Risto Bloigu
- a Medical Research Center Oulu, Oulu University Hospital , University of Oulu , Oulu , Finland
| | - Aini Bloigu
- a Medical Research Center Oulu, Oulu University Hospital , University of Oulu , Oulu , Finland
| | - Onni Niemelä
- a Medical Research Center Oulu, Oulu University Hospital , University of Oulu , Oulu , Finland
| | - Mikko Tulppo
- a Medical Research Center Oulu, Oulu University Hospital , University of Oulu , Oulu , Finland
| | - Y Antero Kesäniemi
- a Medical Research Center Oulu, Oulu University Hospital , University of Oulu , Oulu , Finland
| | - Olavi Ukkola
- a Medical Research Center Oulu, Oulu University Hospital , University of Oulu , Oulu , Finland
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2018; 138:e426-e483. [PMID: 30354655 DOI: 10.1161/cir.0000000000000597] [Citation(s) in RCA: 423] [Impact Index Per Article: 60.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Paul K Whelton
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Robert M Carey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Wilbert S Aronow
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Donald E Casey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Karen J Collins
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Cheryl Dennison Himmelfarb
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sondra M DePalma
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Samuel Gidding
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kenneth A Jamerson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Daniel W Jones
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Eric J MacLaughlin
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Paul Muntner
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Bruce Ovbiagele
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sidney C Smith
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Crystal C Spencer
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randall S Stafford
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sandra J Taler
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randal J Thomas
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kim A Williams
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jeff D Williamson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jackson T Wright
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2018; 138:e484-e594. [PMID: 30354654 DOI: 10.1161/cir.0000000000000596] [Citation(s) in RCA: 222] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Paul K Whelton
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Robert M Carey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Wilbert S Aronow
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Donald E Casey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Karen J Collins
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Cheryl Dennison Himmelfarb
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sondra M DePalma
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Samuel Gidding
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kenneth A Jamerson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Daniel W Jones
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Eric J MacLaughlin
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Paul Muntner
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Bruce Ovbiagele
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sidney C Smith
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Crystal C Spencer
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randall S Stafford
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sandra J Taler
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randal J Thomas
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kim A Williams
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jeff D Williamson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jackson T Wright
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
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Chen H, Zhang R, Zheng Q, Yan X, Wu S, Chen Y. Impact of body mass index on long-term blood pressure variability: a cross-sectional study in a cohort of Chinese adults. BMC Public Health 2018; 18:1193. [PMID: 30348124 PMCID: PMC6196453 DOI: 10.1186/s12889-018-6083-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 10/01/2018] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Obesity and overweight are related to changes in blood pressure, but existing research has mainly focused on the impact of body mass index (BMI) on short-term blood pressure variability (BPV). The study aimed to examine the impact of BMI on long-term BPV. METHODS Participants in the Kailuan study who attended all five annual physical examinations in 2006, 2008, 2010, 2012, and 2014 were selected as observation subjects. In total, 32,482 cases were included in the statistical analysis. According to the definition of obesity in China, BMI was divided into four groups: underweight (BMI < 18.5 kg/m2), normal weight (18.5 ≤ BMI < 24.0 kg/m2), overweight (24.0 ≤ BMI < 28.0 kg/m2), and obese (BMI ≥ 28.0 kg/m2). We used average real variability to evaluate long-term systolic BPV. The average real variability of systolic blood pressure (ARVSBP) was calculated as (|sbp2 - sbp1| + |sbp3 - sbp2 | + |sbp4 - sbp3| + |sbp5 - sbp4|)/4. Differences in ARVSBP by BMI group were analyzed using analysis of variance. Stepwise multivariate linear regression and multiple logistic regression analyses were used to assess the impact of BMI on ARVSBP. RESULTS Participants' average age was 46.6 ± 11.3 years, 24,502 were men, and 7980 were women. As BMI increases, the mean value of ARVSBP gradually increases. After adjusting for other confounding factors, stepwise multivariate linear regression analysis showed that ARVSBP increased by 0.077 for every one-unit increase in BMI. Multiple logistic regression analysis indicated that being obese or overweight, compared with being normal-weight, were risk factors for an increase in ARVSBP. The corresponding odds ratios of being obese or overweight were 1.23 (1.15-1.37) and 1.10 (1.04-1.15), respectively. CONCLUSIONS There was a positive correlation between BMI and ARVSBP, with ARVSBP increasing with a rise in BMI. BMI is a risk factor for an increase in ARVSBP. TRIAL REGISTRATION Registration No.: CHiCTR-TNC1100 1489 ; Registration Date: June 01, 2006.
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Affiliation(s)
- Haojia Chen
- Shantou University Medical College, Shantou, Guangdong China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong China
| | - Ruiying Zhang
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
- Graduate School, North China University of Science and Technology, Tangshan, China
| | - Qiongbing Zheng
- Shantou University Medical College, Shantou, Guangdong China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong China
| | - Xiuzhu Yan
- School of Foreign Language, Guangdong Polytechnic Normal University, Guangzhou, Guangdong China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong China
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Kamiya A, Hara T, Tsuda M, Tsuru E, Kuroda Y, Ota U, Karashima T, Fukuhara H, Inoue K, Ishizuka M, Nakajima M, Tanaka T. 5-Aminolevulinic acid with ferrous iron improves early renal damage and hepatic steatosis in high fat diet-induced obese mice. J Clin Biochem Nutr 2018; 64:59-65. [PMID: 30705513 PMCID: PMC6348406 DOI: 10.3164/jcbn.18-35] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 06/11/2018] [Indexed: 01/22/2023] Open
Abstract
5-Aminolevulinic acid, a natural amino acid, activates mitochondrial respiration and induces heme oxygenase-1 expression. Obesity and type 2 diabetes mellitus are associated with age-related mitochondrial respiration defect, oxidative stress and inflammation. The aim of this study is to investigate the effects of 5-aminolevulinic acid with sodium ferrous citrate on early renal damage and hepatic steatosis. 7-Month-old C57BL/6 mice were fed with a standard diet or high fat diet for 9 weeks, which were orally administered 300 mg/kg 5-aminolevulinic acid combined with 47 mg/kg sodium ferrous citrate (5-aminolevulinic acid/sodium ferrous citrate) or vehicle for the last 5 weeks. We observed that 5-aminolevulinic acid/sodium ferrous citrate significantly decreased body weight, fat weight, hepatic lipid deposits and improved levels of blood glucose and oral glucose tolerance test. In addition, 5-aminolevulinic acid/sodium ferrous citrate suppressed increased glomerular tuft area in high fat diet-fed mice, which was associated with increased heme oxygenase-1 protein expression. Our findings demonstrate additional evidence that 5-aminolevulinic acid/sodium ferrous citrate could improve glucose and lipid metabolism in diabetic mice. 5-Aminolevulinic acid/sodium ferrous citrate has potential application in obesity or type 2 diabetes mellitus-associated disease such as diabetic nephropathy and nonalcoholic fatty liver disease.
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Affiliation(s)
- Atsuko Kamiya
- SBI Pharmaceuticals Co. Ltd., 1-6-1 Roppongi, Minato-ku, Tokyo 106-6020, Japan
| | - Takeshi Hara
- SBI Pharmaceuticals Co. Ltd., 1-6-1 Roppongi, Minato-ku, Tokyo 106-6020, Japan
| | - Masayuki Tsuda
- Institute for Laboratory Animal Research, Kochi Medical School, Kohasu, Oko, Nankoku, Kochi 783-8505, Japan
| | - Emi Tsuru
- Institute for Laboratory Animal Research, Kochi Medical School, Kohasu, Oko, Nankoku, Kochi 783-8505, Japan
| | - Yasushi Kuroda
- SBI Pharmaceuticals Co. Ltd., 1-6-1 Roppongi, Minato-ku, Tokyo 106-6020, Japan
| | - Urara Ota
- SBI Pharmaceuticals Co. Ltd., 1-6-1 Roppongi, Minato-ku, Tokyo 106-6020, Japan
| | - Takashi Karashima
- Department of Urology, Kochi Medical School, Kohasu, Oko, Nankoku, Kochi 783-8505, Japan
| | - Hideo Fukuhara
- Department of Urology, Kochi Medical School, Kohasu, Oko, Nankoku, Kochi 783-8505, Japan
| | - Keiji Inoue
- Department of Urology, Kochi Medical School, Kohasu, Oko, Nankoku, Kochi 783-8505, Japan
| | - Masahiro Ishizuka
- SBI Pharmaceuticals Co. Ltd., 1-6-1 Roppongi, Minato-ku, Tokyo 106-6020, Japan
| | - Motowo Nakajima
- SBI Pharmaceuticals Co. Ltd., 1-6-1 Roppongi, Minato-ku, Tokyo 106-6020, Japan
| | - Tohru Tanaka
- SBI Pharmaceuticals Co. Ltd., 1-6-1 Roppongi, Minato-ku, Tokyo 106-6020, Japan
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Zhao Y, Liu Y, Sun H, Sun X, Yin Z, Li H, Ren Y, Wang B, Zhang D, Liu X, Liu D, Zhang R, Liu F, Chen X, Liu L, Cheng C, Zhou Q, Hu D, Zhang M. Association of long-term dynamic change in body weight and incident hypertension: The Rural Chinese Cohort Study. Nutrition 2018; 54:76-82. [DOI: 10.1016/j.nut.2018.02.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Revised: 02/14/2018] [Accepted: 02/16/2018] [Indexed: 12/17/2022]
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Guevara-Cuellar CA, Soto VE, Molina-Echeverry MI. Budget impact analysis of the adoption of new hypertension guidelines in Colombia. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2018; 16:32. [PMID: 30263015 PMCID: PMC6157055 DOI: 10.1186/s12962-018-0152-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 09/17/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Hypertension represents a high burden of disease in different healthcare systems. Recent guideline published in 2017 by the American Heart Association and the American College of Cardiology has generated a debate between clinicians and policymakers due to the lowering of diagnosis threshold and the subsequent increase of the prevalence and healthcare costs. No empirical research exists addressing the question about the pressure on healthcare costs generated by new standards. This study aims to quantify the impact on the hypertension diagnosis and treatment costs for healthcare system using the new hypertension guideline. METHODS We conducted a budget impact analysis from a Colombian healthcare payer's perspective with a 3-year time horizon (2018-2020), in which we estimated the difference in total medical care costs between previous hypertension cut-off points (140/90 mmHg) and new guideline cut-off points (130/80 mmHg). RESULTS Our results show that the impact of the adoption of the new hypertension guideline would represent a decrease close to 22% in total annual high blood pressure costs in Colombia. This reduction is mainly driven by a lower number of cardiovascular complications. It is worth noting that these results should be taken with caution due to local available data. CONCLUSIONS A high-middle income country such as Colombia should carry out an exhaustive revision of the recommendations of the new hypertension guideline, due to its high probability of saving medical treatment costs for the healthcare system.
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Linhart C, Naseri T, Lin S, Taylor R, Morrell S, McGarvey ST, Magliano DJ, Zimmet P. Continued increases in blood pressure over two decades in Samoa (1991-2013); around one-third of the increase explained by rising obesity levels. BMC Public Health 2018; 18:1122. [PMID: 30219049 PMCID: PMC6139166 DOI: 10.1186/s12889-018-6016-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 09/04/2018] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND To analyse trends over the period 1991-2013 in systolic blood pressure (SBP), diastolic blood pressure (DBP) and the prevalence of hypertension in adults aged 25-64 years in Samoa; and to assess the contribution of rising obesity levels to period trends. METHODS Unit record data from seven population-based surveys (n = 10,881) conducted between 1991 and 2013 were included for analysis. Surveys were adjusted to the nearest previous census to improve national representativeness. Hypertension was defined as SBP ≥140 mmHg and/or DBP ≥90 mmHg and/or on medication for hypertension. Obesity was measured by body mass index (BMI). Poisson, linear and meta-regression were used to assess period trends. RESULTS Over 1991-2013 mean SBP and DBP (mmHg), and the prevalence of hypertension (%) increased in both sexes. Increases in hypertension were: from 18.3 to 33.9% (p < 0.001) in men (mean BP from 122/74 to 132/78); and from 14.3 to 26.4% (p < 0.001) in women (mean BP from 118/73 to 126/78). The estimate of the age-adjusted mean SBP and DBP over 1991-2013, and the relative risk for hypertension in 2013 compared to 1991, were attenuated after adjusting for BMI: by 22% (men) and 32% (women) for mean SBP; 37% (men) and 32% (women) for mean DBP; and 19% in both sexes for hypertension. CONCLUSIONS Significant increases have occurred in SBP/DBP and hypertension prevalence in both sexes in Samoa during 1991-2013, which would contribute significantly to premature mortality from cardiovascular disease. Obesity accounts for around one-third of the rising trend in blood pressure in the Samoan population. Strengthening of population control of hypertension through reduction in obesity and salt intake, and case detection and treatment through primary care, is required to reduce premature mortality from cardiovascular disease in Samoa.
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Affiliation(s)
- Christine Linhart
- Public and International Health, School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
| | | | - Sophia Lin
- Public and International Health, School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
| | - Richard Taylor
- Public and International Health, School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
| | - Stephen Morrell
- Public and International Health, School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
| | - Stephen T. McGarvey
- International Health Institute, Department of Epidemiology, Brown University School of Public Health, Providence, USA
| | | | - Paul Zimmet
- Baker IDI Heart & Diabetes Institute, Melbourne, Australia
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Wu X, Li B, Lin WQ, Huang LL, Wang XX, Fu LY, Li BB, Wang PX. The association between obesity indices and hypertension: Which index is the most notable indicator of hypertension in different age groups stratified by sex? Clin Exp Hypertens 2018; 41:373-380. [PMID: 30095294 DOI: 10.1080/10641963.2018.1489546] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
OBJECTIVE This study aimed to investigate the most notable obesity index and its optimal cut-off point of hypertension in different age groups stratified by sexes among community residents in southern China. METHODS In this cross-sectional study, 620 men and 631 women aged 18-59 years were enrolled. The independent-samples t-test and chi-square test were conducted to analyze continuous and categorical variables, respectively. Multivariate logistic regression analysis and receiver operating characteristic (ROC) curve analysis assessed the association between the obesity indices and hypertension risk. RESULTS Waist-stature ratio (WSR) and waist-hip ratio (WHR) were the most notable risk factors for hypertension in young men and women, respectively. The odds ratios (ORs) of hypertension risk increased with per standard deviation (SD) in WSR and WHR (WSR: OR = 2.877, 95% confidence interval [CI] = 1.602 to 5.167; WHR: OR = 10.683, 95%CI = 2.179 to 52.376). In the middle-aged group of both sexes, body mass index (BMI) was the most distinctive risk factor for hypertension, the ORs of hypertension risk increased with per SD in BMI (men: OR = 2.297, 95%CI = 1.683 to 3.136; women: OR = 1.810, 95%CI = 1.338 to 2.450). ROC curve analysis demonstrated WSR and PI were better indicators than other indices among young men, and WSR was the best marker among young women. However, BMI and WC were the most sensitive markers in middle-aged men and women, respectively. CONCLUSIONS In this Chinese population, the association of obesity indices and hypertension is inconsistent in different age groups and sexes. It is important to choose appropriate indicators for specific groups of people.
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Affiliation(s)
- Xiao Wu
- a Institute of Chronic Disease Risks Assessment, School of Nursing and Health , Henan University , Kaifeng , China.,b General Practice Center, Nanhai Hospital , Southern Medical University , Foshan , China
| | - Bo Li
- a Institute of Chronic Disease Risks Assessment, School of Nursing and Health , Henan University , Kaifeng , China
| | - Wei-Quan Lin
- c Guangzhou Center for Disease Control and Prevention , Guangzhou , China
| | - Ling-Ling Huang
- a Institute of Chronic Disease Risks Assessment, School of Nursing and Health , Henan University , Kaifeng , China
| | - Xiao-Xiao Wang
- a Institute of Chronic Disease Risks Assessment, School of Nursing and Health , Henan University , Kaifeng , China
| | - Li-Ying Fu
- a Institute of Chronic Disease Risks Assessment, School of Nursing and Health , Henan University , Kaifeng , China
| | - Bing-Bing Li
- a Institute of Chronic Disease Risks Assessment, School of Nursing and Health , Henan University , Kaifeng , China
| | - Pei-Xi Wang
- a Institute of Chronic Disease Risks Assessment, School of Nursing and Health , Henan University , Kaifeng , China.,b General Practice Center, Nanhai Hospital , Southern Medical University , Foshan , China
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Ramezankhani A, Ehteshami-Afshar S, Hasheminia M, Hajebrahimi MA, Azizi F, Hadaegh F. Optimum cutoff values of anthropometric indices of obesity for predicting hypertension: more than one decades of follow-up in an Iranian population. J Hum Hypertens 2018; 32:838-848. [PMID: 30082689 DOI: 10.1038/s41371-018-0093-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 07/11/2018] [Indexed: 12/13/2022]
Abstract
We determined cutoff points of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), for predicting hypertension in an Iranian population. Study sample included 6359 (3678 female) participants aged ≥20 and <60 years of a prospective cohort. The sex stratified multivariate hazard ratios (HRs) for all indices were estimated using Cox regression in two age groups (20-39 and 40-59 years). Receiver operating characteristic (ROC) was used to evaluate the predictive ability and determine the optimal cut-off values of the indices. In both genders and two age groups, the confounders adjusted HRs were significant for general and central obesity measures indices. AUCs of the indices were similar in men; however, among women 40-59 years, WC and WHtR had significantly higher AUC compared to BMI. Generally, the optimal cut-off values were higher in the 40-59 year age group. Optimal BMI, WC and WHR and WHtR cut-off values were 24.15 kg/m2, 90.5 cm, 0.90 and 0.49 among men, aged 20-39 years; the corresponding values were 28.41 kg/m2, 86.5 cm, 0.96 and 0.50 in men aged 40-59 years, respectively. In women, the aforementioned values were 26.38 kg/m2, 83.5 cm, 0.79 and 0.51 in the age group of 20-39 years, and 29.57 kg/m2, 90.5 cm, 0.88 and 0.59 in the 40-59 year age group, respectively. Our results suggest that gender and age differences in the association between anthropometric indices and hypertension should be considered.
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Affiliation(s)
- Azra Ramezankhani
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Solmaz Ehteshami-Afshar
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Hasheminia
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Hajebrahimi
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary. JOURNAL OF THE AMERICAN SOCIETY OF HYPERTENSION 2018; 12:579.e1-579.e73. [DOI: 10.1016/j.jash.2018.06.010] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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130
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Frayling TM, Stoneman CE. Mendelian randomisation in type 2 diabetes and coronary artery disease. Curr Opin Genet Dev 2018; 50:111-120. [PMID: 29935421 DOI: 10.1016/j.gde.2018.05.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 05/22/2018] [Accepted: 05/23/2018] [Indexed: 01/29/2023]
Abstract
Type 2 diabetes, coronary artery disease and hypertension are associated with anthropometric and biomarker traits, including waist-to-hip-ratio, body mass index and altered glucose and insulin levels. Clinical trials, for example of weight-loss interventions, show these factors are causal, but lifelong impact of subtle changes in body mass index and body fat distribution are less clear. The use of human genetics can quantify the causal effects of long-term exposure to subtle changes of modifiable risk factors. Mendelian randomisation (MR) uses human genetic variants associated with the risk factor to quantify the relationship between risk factor and disease outcome. The last two years have seen an increase in the number of MR studies investigating the relationship between anthropometric traits and metabolic diseases. This review provides an overview of these recent MR studies in relation to type 2 diabetes, coronary artery disease and hypertension. MR provides evidence for causal associations of waist-to-hip-ratio, body mass index and altered glucose levels with type 2 diabetes, coronary artery disease and hypertension.
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Affiliation(s)
- Timothy M Frayling
- RILD Building, University of Exeter Medical School, Barrack Road, Exeter EX2 5DW, UK
| | - Charli E Stoneman
- RILD Building, University of Exeter Medical School, Barrack Road, Exeter EX2 5DW, UK
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131
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Lee JH, Seo DH, Nam MJ, Lee GH, Yang DH, Lee MJ, Choi UR, Hong S. The Prevalence of Obesity and Metabolic Syndrome in the Korean Military Compared with the General Population. J Korean Med Sci 2018; 33:e172. [PMID: 29915523 PMCID: PMC6000597 DOI: 10.3346/jkms.2018.33.e172] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Accepted: 04/13/2018] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Obesity and related metabolic disorders are growing health challenges worldwide and individuals at military service are not exceptions. The purpose of this study was to examine the prevalence of obesity and metabolic syndrome (MS) in the Korean military and to compare with the general population. METHODS This was a cross-sectional study of 4,803 young military participants who underwent a corporal health-screening program between October 2013 and October 2014. The National Cholesterol Education Program Adult Treatment Panel III criteria was used to identify MS. We also sampled 1,108 men aged 19-29 years from the Korea National Health and Nutritional Examination Survey from 2010 to 2013 to compare with their military counterparts. RESULTS The mean age of military participants was 20.8 ± 1.1 years, and 20.6% (n = 988) were obese. The prevalence of MS was 0.8% in military participants, while 7.9% in general population. The risk factors of MS were less prominent among military participants relative to civilians, with the exception of high blood pressure, of which prevalence was higher among military participants (21.5% vs. 18.2%, respectively). In multiple logistic analysis, high physical activity conferred lower odds of MS and obesity in military participants (odds ratios, 0.19 and 0.81, respectively). Age older than 25 years increased risk of most components of MS among civilians. CONCLUSION The prevalence of obesity and MS is lower in military participants compared with civilians of similar age. Monitoring of high blood pressure and proper stress management are warranted in those at military service.
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Affiliation(s)
- Jung Hwan Lee
- The 5th Division the Medical Battalion of the Republic of Korea Armed Forces, Yeoncheon, Korea
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Da Hea Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Min Jung Nam
- The 5th Division the Medical Battalion of the Republic of Korea Armed Forces, Yeoncheon, Korea
| | - Geon Hui Lee
- The 5th Division the Medical Battalion of the Republic of Korea Armed Forces, Yeoncheon, Korea
| | - Dong Hee Yang
- The 5th Division the Medical Battalion of the Republic of Korea Armed Forces, Yeoncheon, Korea
| | - Min Joo Lee
- The 5th Division the Medical Battalion of the Republic of Korea Armed Forces, Yeoncheon, Korea
| | - Ung-Rim Choi
- The 5th Division the Medical Battalion of the Republic of Korea Armed Forces, Yeoncheon, Korea
| | - Seongbin Hong
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
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132
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2018; 71:e13-e115. [PMID: 29133356 DOI: 10.1161/hyp.0000000000000065] [Citation(s) in RCA: 1732] [Impact Index Per Article: 247.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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133
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2018. [DOI: 10.1161/hyp.0000000000000065 10.1016/j.jacc.2017.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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134
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2018; 71:1269-1324. [PMID: 29133354 DOI: 10.1161/hyp.0000000000000066] [Citation(s) in RCA: 2463] [Impact Index Per Article: 351.9] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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135
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Prevalence and determinants of hypertension among adult population in Nepal: Data from Nepal Demographic and Health Survey 2016. PLoS One 2018; 13:e0198028. [PMID: 29852006 PMCID: PMC5978874 DOI: 10.1371/journal.pone.0198028] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 05/11/2018] [Indexed: 01/19/2023] Open
Abstract
Like other developing countries, Nepal is currently going through epidemiological transition along with rising burden of Non-communicable Diseases. However, since 2013, no study investigated the prevalence and determinants of hypertension in Nepal involving nationally representative sample. Therefore, this study aimed to find out the current prevalence of hypertension in Nepal and its determinants using the latest nationally representative data obtained from Nepal Demographic and Health Survey (NDHS) 2016. The NDHS 2016 collected data on hypertension from 13,304 men and women aged 18 years and above from 5,520 urban and 5,970 rural households covering seven administrative provinces and three ecological zones. Participants were considered as hypertensive when their systolic blood pressure was ≥140 mmHg and/or diastolic blood pressure was ≥90 mmHg and/or they reported taking antihypertensive medication. A total of 19.9% study participants were diagnosed as hypertensive of which majority were male (male-24.3%, female-16.9%), ever married (ever married-21.7%, unmarried-6.1%) and residents of urban area (urban-20.9%, rural-18.3%). Hypertension prevalence has shown growing trend with the increase of age. This prevalence was also higher among rich and overweight/obese individuals. In multivariable logistic regression analysis, older age, male gender, better education, residence at urban area and province 4 and 5 and being overweight/obese were found positive association with having hypertension. When the determinants of hypertension were stratified by sex of the participants, difference was observed in case of age group, education and place of residence. As one out of every five individuals in Nepal are hypertensive, public health initiatives are immediately required for prevention and control of hypertension to reduce mortality and morbidity associated with this progressive disease.
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136
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Sammul S, Viigimaa M. Rapid socio-economic changes, psychosocial factors and prevalence of hypertension among men and women aged 55 years at baseline in Estonia: a 13-year follow-up study. Blood Press 2018; 27:351-357. [PMID: 29806557 DOI: 10.1080/08037051.2018.1476054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
BACKGROUND Hypertension is an important public health problem which causes premature morbidity and mortality. Cardiovascular diseases are responsible for about 55% of deaths in Estonia. THE PURPOSE OF THE STUDY was to assess, through a follow-up period, the prevalence of hypertension and to observe which risk factors of cardiovascular disease impact the occurrence of the disease. The second aim of the study was to evaluate the role of psychosocial factors and personality traits among individuals with a diagnosis of hypertension. MATERIALS AND METHODS The 330 subjects from Estonia, aged 55 years at baseline, from among whom 219 participated at follow-up. A cross-sectional study based on a self-reported questionnaire was conducted. RESULTS Over 13 years, the prevalence of hypertension increased from 4% to 53%. Obese (body mass index ≥30 kg/m2) individuals were four times more likely to belong to the hypertension group (p < .01). Among individuals with hypertension the depressed mood score was ≥4 points (max. 9 points) in 54.3% of participants. Depressed mood was linked with experiencing negative stressful life events (B = 0.047, 95% CI 0.016; 0.079; p < .01). Mastery had a protective impact on depressed mood. The self-rated quality of life score was lower among subjects with hypertension than among those who were not diagnosed with hypertension (p < .05). CONCLUSIONS According to the 13-year follow-up study, rapid socio-economic changes in Estonia have affected psychosocial health factors among 55-year-old individuals with a diagnosis of hypertension. There is a significant relationship between obesity and the development of hypertension.
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Affiliation(s)
- Sirje Sammul
- a Institute of Family Medicine and Public Health, Faculty of Medicine , University of Tartu , Tartu , Estonia.,b Tartu Health Care College , Tartu , Estonia
| | - Margus Viigimaa
- c Centre of Cardiology, North Estonia Medical Centre , Tallinn , Estonia.,d Tallinn University of Technology, Centre for Cardiovascular Medicine , Tallinn , Estonia
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137
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2018; 71:2199-2269. [PMID: 29146533 DOI: 10.1016/j.jacc.2017.11.005] [Citation(s) in RCA: 674] [Impact Index Per Article: 96.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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138
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2018; 71:e127-e248. [PMID: 29146535 DOI: 10.1016/j.jacc.2017.11.006] [Citation(s) in RCA: 3382] [Impact Index Per Article: 483.1] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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139
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Jayedi A, Rashidy-Pour A, Khorshidi M, Shab-Bidar S. Body mass index, abdominal adiposity, weight gain and risk of developing hypertension: a systematic review and dose-response meta-analysis of more than 2.3 million participants. Obes Rev 2018; 19:654-667. [PMID: 29334692 DOI: 10.1111/obr.12656] [Citation(s) in RCA: 109] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 11/13/2017] [Indexed: 02/06/2023]
Abstract
OBJECTIVE This study aimed to test the association between anthropometric measures and risk of developing hypertension. METHODS We did a systematic search using PubMed and Scopus, from inception up to January 2017. Prospective cohort studies reporting the risk estimates of hypertension for three or more quantitative categories of indices of general and abdominal adiposity were included. Summary relative risks were calculated using random-effects models. RESULTS Fifty-seven prospective cohort studies were included. Summary relative risks were 1.49 (95% confidence interval [CI]: 1.41, 1.58; I2 = 97.4%, n = 50) for a five-unit increment in body mass index, 1.27 (95%CI: 1.15, 1.39; I2 = 95.0%, n = 14) for a 10-cm increment in waist circumference, 1.16 (95%CI: 1.09, 1.23; I2 = 77.8%, n = 5) for weight gain equal to a one-unit increment in BMI, and 1.37 (95%CI: 1.24, 1.51; I2 = 76.4%, n = 8) and 1.74 (95%CI: 1.35, 2.13; I2 = 58.9%, n = 4) for a 0.1-unit increment in waist-to-hip ratio and waist-to-height ratio, respectively. The risk of hypertension increased continuously with increasing all anthropometric measures, and also along with weight gain. CONCLUSION Being as lean as possible within the normal body mass index range may be the best suggestion in relation to primary prevention of hypertension.
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Affiliation(s)
- A Jayedi
- Food (salt) Safety Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - A Rashidy-Pour
- Laboratory of Learning and Memory, Research Center and Department of Physiology, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran
| | - M Khorshidi
- Department of Community Nutrition, School of Nutritional Science and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - S Shab-Bidar
- Department of Community Nutrition, School of Nutritional Science and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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140
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Covassin N, Sert-Kuniyoshi FH, Singh P, Romero-Corral A, Davison DE, Lopez-Jimenez F, Jensen MD, Somers VK. Experimental Weight Gain Increases Ambulatory Blood Pressure in Healthy Subjects: Implications of Visceral Fat Accumulation. Mayo Clin Proc 2018; 93:618-626. [PMID: 29728201 PMCID: PMC5977394 DOI: 10.1016/j.mayocp.2017.12.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 12/05/2017] [Accepted: 12/13/2017] [Indexed: 01/13/2023]
Abstract
OBJECTIVE To examine whether experimentally induced weight gain raises ambulatory blood pressure (BP) in healthy subjects and identify any relationship between changes in BP and changes in regional fat distribution. PATIENTS AND METHODS Twenty-six normal weight subjects were randomized to 8 weeks of weight gain through overfeeding (n=16; age, 30.4±6.6 years) or to weight maintenance (controls; n=10; age, 27.1±7.7 years) between July 2004 and August 2010. Measures of body composition via dual energy X-ray absorptiometry and computed tomography, circulating biomarkers, and 24-hour ambulatory BP were obtained at baseline and after the 8-week experimental phase. RESULTS Overfeeding resulted in 3.7 kg (95% CI, 2.9-4.5) increase in body weight in weight gainers, with increments in total (46.2 cm2; 95% CI, 27.6-64.9), visceral (13.8 cm2; 95% CI, 5.8-21.9), and subcutaneous fat (32.4 cm2; 95% CI, 13.5-51.3). No changes occurred in the maintenance group. Increases in 24-hour systolic BP (4 mm Hg; 95% CI, 1.6-6.3), mean BP (1.7 mm Hg; 95% CI, 0.3-3.3), and pulse pressure (2.8 mm Hg; 95% CI, 1.1-4.4) were evident after weight gain in the experimental group, whereas BP remained unchanged in controls. Changes in mean BP correlated only with changes in visceral fat (ρ=0.45; P=.02), but not with changes in other body composition measures. CONCLUSION Modest weight gain causes elevation in 24-hour BP in healthy subjects. The association between increased BP and abdominal visceral fat accumulation suggests that visceral deposition of adipose tissue may contribute specifically to the enhanced risk of hypertension associated with weight gain.
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Affiliation(s)
- Naima Covassin
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | | | - Prachi Singh
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | | | - Diane E Davison
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | | | - Michael D Jensen
- Division of Endocrinology, Department of Medicine, Mayo Clinic, Rochester, MN
| | - Virend K Somers
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
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141
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Tian Z, Li Y, Li L, Liu X, Shi Y, Yang K, Liu R, Zhang H, Qian X, Yin L, Zhao J, Wang C. Dose-response relationship between visceral fat index and untreated hypertension in Chinese rural population: the RuralDiab study. ACTA ACUST UNITED AC 2018; 12:448-456.e1. [PMID: 29678423 DOI: 10.1016/j.jash.2018.03.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 03/14/2018] [Indexed: 01/10/2023]
Abstract
The study aimed to explore the association of visceral fat index (VFI) with untreated hypertension in different genders and evaluate the practicability of VFI as a marker for discriminating untreated hypertension in Chinese rural population. A total of 12,536 eligible participants aged 35 years and older were derived from the RuralDiab study in China. VFI was assessed with bioelectrical impendence methods and divided into sex-specific quartiles. Logistic regression and restricted cubic spline regression were performed. Receiver operating characteristic curve was applied to analyze the discriminating performance of VFI. Meanwhile, a meta-analysis was conducted to validate the result of this study. Compared with the lowest VFI quartile, the adjusted odds ratios (ORs) and 95% confidence interval (95% CI) in the highest VFI quartile were 3.68 (2.91-4.66) in male and 2.63 (2.12-3.25) in female (Ptrend < .01). Nonlinear increasing trends about the risk of untreated hypertension were observed with the continuously increasing VFI in both genders (Plinearity < .01). The sensitivity and specificity in the optimal cutoff values for VFI were 58.37% and 62.26% in male, and 49.09% and 66.67% in female. The area under the curves (95% CI) were 0.64 (0.63-0.66) in male and 0.61 (0.60-0.62) in female. Meta-analysis results displayed the pooled odds ratios (95% CI) of 2.65 (1.79-3.93) in male and 2.27 (1.74-2.95) in female. VFI was significantly positively correlated with the risk of untreated hypertension, and dose-response relationships were observed in both genders in Chinese rural population. However, VFI as a marker had limited potential for discriminating untreated hypertension.
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Affiliation(s)
- Zhongyan Tian
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Linlin Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yuanyuan Shi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Kaili Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Ruihua Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Honglei Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xinling Qian
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Lei Yin
- Department of Prevention and Health care, Military Hospital of Henan Province, Zhengzhou, Henan, PR China
| | - Jingzhi Zhao
- Department of Prevention and Health care, Military Hospital of Henan Province, Zhengzhou, Henan, PR China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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142
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Mangoni AA, Kichenadasse G, Rowland A, Sorich MJ. Predictors of anti-VEGF drug-induced hypertension using different hypertension criteria: a secondary analysis of the COMPARZ study. Ther Adv Med Oncol 2018; 10:1758834018755090. [PMID: 29434680 PMCID: PMC5802603 DOI: 10.1177/1758834018755090] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 12/22/2017] [Indexed: 12/16/2022] Open
Abstract
Background There is inconsistency in the criteria used to define anti-vascular endothelial growth factor (VEGF) drug-induced hypertension (AVEGF-HT) in published studies. It is unknown whether specific patient characteristics similarly predict AVEGF-HT using different criteria. Methods We assessed the associations between clinical and demographic factors (n = 22) and AVEGF-HT, using six criteria based on predefined on-treatment blood pressure (BP) thresholds or absolute BP elevations versus baseline, in a post hoc analysis of a phase III trial of 1102 patients with renal cell carcinoma (RCC) randomized to pazopanib or sunitinib (COMPARZ study). Results The cumulative incidence of AVEGF-HT at any time while on treatment ranged between 14.8% [criterion: grade ⩾3 toxicity, National Cancer Institute Common Terminology Criteria for Adverse Events (NCI CTCAE) v3.0] and 58.8% (criterion: absolute systolic BP increase ⩾20 mmHg versus baseline). After adjusting for anti-VEGF treatment and baseline BP, the number of significant (p < 0.05) predictors ranged between one (criterion: absolute systolic BP increase ⩾20 mmHg, on-treatment systolic BP ⩾140 mmHg and diastolic BP ⩾90 mmHg) and nine (criterion: grade ⩾3 toxicity, NCI CTCAE v3.0). Age, use of antidiabetic drugs and use of antihypertensive drugs each significantly predicted four AVEGF-HT criteria. By contrast, sex, smoking, heart rate, proteinuria, Karnofsky performance status, and use of thiazide diuretics did not predict any criterion. Conclusions There was a significant variability in the incidence, number and type of predictors of AVEGF-HT, using six different criteria, in a post hoc analysis of the COMPARZ study. The use of specific criteria might affect the assessment of the interaction between anti-VEGF drugs, AVEGF-HT and cancer outcomes.
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Affiliation(s)
- Arduino A Mangoni
- Department of Clinical Pharmacology, College of Medicine and Public Health, Flinders University and Flinders Medical Centre, Adelaide, Australia
| | - Ganessan Kichenadasse
- Flinders Centre for Innovation in Cancer, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Andrew Rowland
- Department of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Adelaide, Australia; Flinders Centre for Innovation in Cancer, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Michael J Sorich
- Department of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Adelaide, Australia; Flinders Centre for Innovation in Cancer, College of Medicine and Public Health, Flinders University, Adelaide, Australia
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143
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Anderson EL, Fraser A, Caleyachetty R, Hardy R, Lawlor DA, Howe LD. Associations of adversity in childhood and risk factors for cardiovascular disease in mid-adulthood. CHILD ABUSE & NEGLECT 2018; 76:138-148. [PMID: 29102868 PMCID: PMC5915314 DOI: 10.1016/j.chiabu.2017.10.015] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 10/16/2017] [Accepted: 10/30/2017] [Indexed: 05/04/2023]
Abstract
Studies assessing associations of childhood psychosocial adversity (e.g. sexual abuse, physical neglect, parental death), as opposed to socioeconomic adversity, with cardiovascular disease (CVD) risk factors in adulthood are scarce. The aim of this study is to assess associations of various types of psychosocial adversity and cumulative adversity in childhood, with multiple CVD risk factors in mid-life. At study enrolment, women from the Avon Longitudinal Study of Parents and Children (N=3612) retrospectively reported: lack of maternal care, maternal overprotection, parental mental illness, household dysfunction, sexual abuse, physical and emotional abuse, and neglect in childhood. Approximately 23 years later, body mass index (BMI), waist circumference, systolic and diastolic blood pressure, plasma glucose, insulin, triglycerides, low and high density lipoprotein cholesterol, C-reactive protein, carotid intima-media thickness (cIMT) and arterial distensibility were assessed (mean age 51 years). We examined associations of each specific type of psychosocial adversity and cumulative adversity with CVD risk factors. No specific type of psychosocial adversity was consistently associated with the CVD risk factors. There was evidence that a one standard deviation greater cumulative psychosocial adversity was associated with 0.51cm greater waist circumference (95% confidence interval [CI]: 0.02cm, 1.00cm, p=0.04) and a lower arterial distensibility, even after adjustment for age, ethnicity and childhood and adult socioeconomic position. We found no consistent evidence that any specific type of psychosocial adversity, or cumulative psychosocial adversity in childhood, is associated with CVD risk factors in adult women.
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Affiliation(s)
- Emma L Anderson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; School of Social and Community Medicine, University of Bristol, Bristol, UK.
| | - Abigail Fraser
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; School of Social and Community Medicine, University of Bristol, Bristol, UK
| | | | - Rebecca Hardy
- MRC Unit for Lifelong Health and Ageing at University College London, UK
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Laura D Howe
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; School of Social and Community Medicine, University of Bristol, Bristol, UK
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144
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Someya Y, Tamura Y, Kohmura Y, Aoki K, Kawai S, Daida H. Slightly increased BMI at young age is a risk factor for future hypertension in Japanese men. PLoS One 2018; 13:e0191170. [PMID: 29324821 PMCID: PMC5764351 DOI: 10.1371/journal.pone.0191170] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 12/05/2017] [Indexed: 11/18/2022] Open
Abstract
Background Hypertension is developed easily in Asian adults with normal body mass index (BMI) (~23 kg/m2), compared with other ethnicities with similar BMI. This study tested the hypothesis that slightly increased BMI at young age is a risk factor for future hypertension in Japanese men by historical cohort study. Methods The study participants were 636 male alumni of the physical education school. They had available data on their physical examination at college age and follow-up investigation between 2007 and 2011. The participants were categorized into six categories: BMI at college age of <20.0 kg/m2, 20.0–21.0kg/m2, 21.0–22.0kg/m2, 22.0–23.0kg/m2, 23.0–24.0kg/m2, and ≥24.0kg/m2, and the incidence of hypertension was compared. Results This study covered 27-year follow-up period (interquartile range: IQR: 23–31) which included 17,059 person-years of observation. Subjects were 22 (22–22) years old at graduated college, and 49 (45–53) years old at first follow-up investigation. During the period, 120 men developed hypertension. The prevalence rates of hypertension for lowest to highest BMI categories were 9.4%, 14.6%, 16.1%, 17.5%, 30.3%, and 29.3%, respectively (p<0.001 for trend), and their hazard ratios were 1.00 (reference), 1.80 (95%CI: 0.65–4.94), 2.17 (0.83–5.64), 2.29 (0.89–5.92), 3.60 (1.37–9.47) and 4.72 (1.78–12.48), respectively (p<0.001 for trend). This trend was similar after adjustment for age, year of graduation, smoking, current exercise status and current dietary intake. Conclusion Slightly increased BMI at young age is a risk factor for future hypertension in Japanese men.
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Affiliation(s)
- Yuki Someya
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Faculty of Health and Sports Science, Juntendo University, Chiba, Japan
- * E-mail:
| | - Yoshifumi Tamura
- Sportology Center, Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | | | - Kazuhiro Aoki
- Faculty of Health and Sports Science, Juntendo University, Chiba, Japan
| | - Sachio Kawai
- Juntendo University Graduate School of Health and Sports Science, Chiba, Japan
| | - Hiroyuki Daida
- Department of Cardiology, Juntendo University Graduate School of Medicine, Tokyo, Japan
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145
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Jayedi A, Shab-Bidar S. Nonlinear dose–response association between body mass index and risk of all-cause and cardiovascular mortality in patients with hypertension: A meta-analysis. Obes Res Clin Pract 2018; 12:16-28. [DOI: 10.1016/j.orcp.2018.01.002] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2017] [Revised: 12/07/2017] [Accepted: 01/08/2018] [Indexed: 01/15/2023]
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Abou Zeid OA, Elkhouly NY, Osman EN, Youssef MH. Metabolic parameters in diabetic neuropathic patients after treatment with pregabalin. Diabetes Metab Syndr 2017; 11 Suppl 1:S263-S272. [PMID: 28041922 DOI: 10.1016/j.dsx.2016.12.042] [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: 10/08/2016] [Accepted: 12/12/2016] [Indexed: 12/01/2022]
Abstract
OBJECTIVE To assess metabolic parameters in patients with diabetic peripheral neuropathy (DPN) before and after 3 months treatment with a flexible dose pregabalin. METHODS This is a prospective clinical trial. The metabolic parameters observed and recorded after 3 months treatment with a flexible dose pregabalin (n=331). RESULTS The lipid profile parameters were significantly improved after treatment, total cholesterol, TC (P<0.01, 95% CI, 25.91-41.98), low-density lipoprotein, LDL (P<0.01, 95% CI, 21.11-34.80), triglycerides, TG (P<0.001, 95% CI, 56.43-79.26), all the three parameters significantly decreased while high-density lipoprotein, HDL, significantly increased (P<0.05, 95% CI, -8.61 to -5.51). Microalbumin mean was 16±1.39 before treatment versus 6.5±0.59 after treatment. Glycolated hemoglobin, HbA1c mean was 9.6±0.099 before pregabalin therapy and 7.6 ±0.06 after. BMI mean was 33.5±0.45 before versus 31.1±0.33 after (P<0.001). HbA1C was positively correlated with DPN severity before treatment (r=0.18, P<0.01). Same results were observed with weight and waist circumference (r=0.17, P<0.01, r=0.14, P<0.05 respectively). Oral anti diabetic medications (OAD) were also positively correlated to DPN severity before treatment (r=0.115, P<0.05). CONCLUSIONS Prompt treatment of DPN has a significant effect on the metabolic parameters.
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Affiliation(s)
- O A Abou Zeid
- Department of Internal Medicine, Faculty of Medicine, Taibah University, Universities Road, Madinah, PO Box: 344, Saudi Arabia.
| | - N Y Elkhouly
- Department of Internal Medicine, Faculty of Medicine, Taibah University, Universities Road, Madinah, PO Box: 344, Saudi Arabia; Department of Internal Medicine, Faculty of Medicine, Alazhar University, Egypt
| | - E N Osman
- Department of Internal Medicine, Faculty of Medicine, Taibah University, Universities Road, Madinah, PO Box: 344, Saudi Arabia
| | - M H Youssef
- Department of Internal Medicine, Faculty of Medicine, Taibah University, Universities Road, Madinah, PO Box: 344, Saudi Arabia
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147
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Corsenac P, Annesi-Maesano I, Hoy D, Roth A, Rouchon B, Capart I, Taylor R. Overweight and obesity in New Caledonian adults: Results from measured and adjusted self-reported anthropometric data. Diabetes Res Clin Pract 2017; 133:193-203. [PMID: 28919382 DOI: 10.1016/j.diabres.2017.06.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Revised: 05/30/2017] [Accepted: 06/16/2017] [Indexed: 12/11/2022]
Abstract
AIMS To estimate the overweight (OW) and obesity (Ob) prevalence and associated socio-demographic risk factors in New Caledonian adults aged 18-67years. METHODS From a randomly selected cross-sectional population survey, self-reported (n=2513) and measured (n=736) height and weight data were collected. Separate linear regression analyses for measured weight and height were performed, using cases with both self-reported weight and height and socio-demographic variables. The final weight and height assigned to each case was either measured or predicted from the regression (n=2075). OW prevalence was defined as: Body Mass Index (BMI) ≥25 and <30kg/m-2; and Ob: BMI ≥30kg/m-2. Samples were weighted to the general adult population. Prevalence and Odds ratios (ORs) were calculated by gender, and adjusted for socio-demographic variables, to assess differentials in OW, Ob and OW-Ob, using multinomial and logistic regressions. RESULTS Male (M) OW was 35% (95% CI: 31-38), Ob 29% (95% CI: 26-32) and OW-Ob 64% (95% CI: 60-67); female (F) OW was 26% (95% CI: 23-28), Ob 34% (95% CI: 31-37) and OW-Ob 60% (95% CI: 57-63). Compared to Melanesians (OR=1.0) for male/female: Polynesians had the highest prevalence of OW (1.7/1.5), Ob (4.7/3.5), and OW-Ob (3.0/2.5); New Caledonian-born Europeans had greater OW, Ob and OW-Ob (0.3/0.4) than immigrant Europeans (0.2/0.2). CONCLUSIONS Findings contribute to obesity comparisons with other Pacific Islands, and they establish trends in New Caledonia for targeting policies and strategies of prevention.
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Affiliation(s)
- Philippe Corsenac
- Agence sanitaire et sociale de la Nouvelle-Calédonie (ASSNC), Department of Epidemiology and/or Obesity program, 16 rue du Général Gallieni BP P4, 98851 Noumea cedex, New Caledonia; Epidemiology and Biostatistics Unit, Institut national de la recherche scientifique (INRS)-Institut Armand-Frappier, 531 boul. des Prairies, Laval, QC, H7V 1B7, Canada.
| | | | - Damian Hoy
- Research Evidence and Information Programme, Public Health Division, Secretariat of the Pacific Community, Noumea, New Caledonia
| | - Adam Roth
- Research Evidence and Information Programme, Public Health Division, Secretariat of the Pacific Community, Noumea, New Caledonia; Public Health Agency of Sweden, Stockholm, Sweden
| | - Bernard Rouchon
- Agence sanitaire et sociale de la Nouvelle-Calédonie (ASSNC), Department of Epidemiology and/or Obesity program, 16 rue du Général Gallieni BP P4, 98851 Noumea cedex, New Caledonia
| | - Isabelle Capart
- Agence sanitaire et sociale de la Nouvelle-Calédonie (ASSNC), Department of Epidemiology and/or Obesity program, 16 rue du Général Gallieni BP P4, 98851 Noumea cedex, New Caledonia
| | - Richard Taylor
- School of Public Health and Community Medicine (SPHCM), Faculty of Medicine, University of New South Wales (UNSW), Sydney, NSW 2052, Australia
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148
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Schrover IM, Dorresteijn JAN, Smits JE, Danser AHJ, Visseren FLJ, Spiering W. Identifying treatment response to antihypertensives in patients with obesity-related hypertension. Clin Hypertens 2017; 23:20. [PMID: 29085669 PMCID: PMC5654008 DOI: 10.1186/s40885-017-0077-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 09/18/2017] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND In patients with obesity-related hypertension (ORH), reaction to antihypertensive medication is likely influenced by patientcharacteristics. METHODS Effects of aliskiren, moxonidine and hydrochlorothiazide on 24-h blood pressure (BP) were compared to placebo. Linear mixed effect models were used to analyze the effect of patient characteristics on BP levels and treatment response. RESULTS Systolic BP response to aliskiren was higher in patients with a BMI > 30.7 kg/m2 compared to patients with a BMI ≤ 30.7 kg/m2 (-21 mmHg versus -4 mmHg). In patients with a hsCRP > 1.8 mg/L the systolic BP response to aliskiren was higher than in patients with a low hsCRP (-15 mmHg versus -7 mmHg). Hydrochlorothiazide (HCTZ) treatment effect on systolic BP was -13 mmHg when heart rate > 71 beats/min compared to -3 mmHg when heart rate was ≤ 71 beats/min. CONCLUSION In patients with ORH, BP response to aliskiren is positively related to BMI and hsCRP. Systolic BP response to HCTZ is positively related to heart rate and negatively to renin levels. TRIAL REGISTRATION NCT01138423. Registered June 4th, 2010.
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Affiliation(s)
- Ilse M Schrover
- Department of Vascular Medicine, University Medical Center Utrecht, P.O. Box 85500, 3584 GA Utrecht, The Netherlands
| | - Jannick A N Dorresteijn
- Department of Vascular Medicine, University Medical Center Utrecht, P.O. Box 85500, 3584 GA Utrecht, The Netherlands
| | - Jodine E Smits
- Department of Vascular Medicine, University Medical Center Utrecht, P.O. Box 85500, 3584 GA Utrecht, The Netherlands
| | - A H Jan Danser
- Division of Pharmacology and Vascular Medicine, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Frank L J Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, P.O. Box 85500, 3584 GA Utrecht, The Netherlands
| | - Wilko Spiering
- Department of Vascular Medicine, University Medical Center Utrecht, P.O. Box 85500, 3584 GA Utrecht, The Netherlands
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149
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Association between Insomnia and Metabolic Syndrome in a Chinese Han Population: A Cross-sectional Study. Sci Rep 2017; 7:10893. [PMID: 28883616 PMCID: PMC5589763 DOI: 10.1038/s41598-017-11431-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 07/28/2017] [Indexed: 01/16/2023] Open
Abstract
The association between insomnia and metabolic syndrome remains unclear, especially among different-aged groups. A cross-sectional study with 8017 participants was performed to identify whether insomnia was associated with metabolic syndrome or not. Demographic characteristics, lifestyles and other risk factors were collected using a predesigned, semi-structured, self-administered questionnaire, and physical examinations were conducted by certificated community physicians. Insomnia was not independently associated with metabolic syndrome across all subjects; however, the association between insomnia and metabolic syndrome was statistically significant in the male group (odds ratio (OR): 1.35, 95% confidence interval (CI): 1.02–1.77) and the middle-aged group (OR: 1.40, 95% CI: 1.09–1.79) but not in the female group, the young adult group or the older group. Analyses of the individual components of metabolic syndrome revealed that insomnia was independently associated with raised blood pressure (OR: 1.24, 95% CI: 1.05–1.43) and low high-density lipoprotein cholesterol (HDL-c) (OR: 1.16, 95% CI: 1.01–1.33). Insomnia was also independently associated with the severity of metabolic abnormalities (OR: 1.17, 95% CI: 1.03–1.32). This study demonstrates an independent association between insomnia and metabolic syndrome in males and middle-aged participants, which suggests that treatment for insomnia will contribute to the prevention of metabolic syndrome in males and the middle-aged population.
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150
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Wright CM, Moorin RE, Chowdhury EK, Stricker BH, Reid CM, Saunders CM, Hughes JD. Calcium channel blockers and breast cancer incidence: An updated systematic review and meta-analysis of the evidence. Cancer Epidemiol 2017; 50:113-124. [PMID: 28866282 DOI: 10.1016/j.canep.2017.08.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 08/15/2017] [Accepted: 08/19/2017] [Indexed: 12/18/2022]
Abstract
Controversy exists regarding the potential association between taking calcium channel blockers (CCBs) and the development of breast cancer. As a positive association would have important public health implications due to the widespread use of CCBs, this study aimed to incorporate new evidence to determine whether an association is likely to exist. We searched MEDLINE, EMBASE and the Cochrane Library to 28 June 2016 for relevant literature. References and citing articles were checked and authors contacted as necessary. Two authors independently selected articles and extracted data. Twenty-nine studies were reviewed; 26 were non-randomised studies (NRS). Meta-analysis of study data where adjustment for 'confounding by indication' was judged to be present suggests that an association, if any, is likely to be modest in magnitude (pooled odds/risk ratio 1.09 (95% confidence interval (CI) 1.03-1.15, I2=0%, 8 sub-studies; pooled hazard ratio 0.99 (95% CI 0.94-1.03, I2=35%, 9 sub-studies)). There are credible study data showing an increased relative risk with long-term use of CCBs, but the results of our meta-analysis and of meta-regression of log relative risk against minimum follow-up time are mixed. The current summative evidence does not support a clear association between taking CCBs and developing breast cancer. However, uncertainty remains, especially for long-term use and any association might not be uniform between different populations and/or breast cancer sub-types. We thus recommend further NRS in settings where CCB use is highly prevalent and population-based cancer, prescription and health-registries exist, to resolve this continuing uncertainty. PROSPERO, CRD42015026712.
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Affiliation(s)
- Cameron M Wright
- Health Systems and Health Economics, School of Public Health, Faculty of Health Sciences, GPO Box U1987, Curtin University, Perth, Western Australia, 6845, Australia; School of Pharmacy, Faculty of Health Sciences, GPO Box U1987, Curtin University, Perth, Western Australia, 6845, Australia; School of Medicine, University of Tasmania, Private Bag 26, Sandy Bay, Tasmania, 7001, Australia.
| | - Rachael E Moorin
- Health Systems and Health Economics, School of Public Health, Faculty of Health Sciences, GPO Box U1987, Curtin University, Perth, Western Australia, 6845, Australia; Centre for Health Services Research, School of Population and Global Health, Faculty of Medicine, Dentistry and Health Sciences, 35 Stirling Highway, University of Western Australia, Crawley, Perth, Western Australia, 6009, Australia.
| | - Enayet K Chowdhury
- Centre for Cardiovascular Research and Education in Therapeutics, Monash University, Melbourne, Victoria, 3800, Australia.
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus MC: University Medical Centre, Rotterdam, 3015, Netherlands.
| | - Christopher M Reid
- School of Pharmacy, Faculty of Health Sciences, GPO Box U1987, Curtin University, Perth, Western Australia, 6845, Australia; School of Public Health, Faculty of Health Sciences, GPO Box 1987, Curtin University, Perth, Western Australia, 6845, Australia.
| | - Christobel M Saunders
- School of Surgery, Faculty of Medicine, Dentistry and Health Sciences, 35 Stirling Highway, University of Western Australia, Perth, Western Australia, 6009, Australia.
| | - Jeffery D Hughes
- School of Pharmacy, Faculty of Health Sciences, GPO Box U1987, Curtin University, Perth, Western Australia, 6845, Australia.
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