Physical Activity and Risk of Hypertension

Huai, Pengcheng; Xun, Huanmiao; Reilly, Kathleen H.; Wang, Yiguan; Ma, Wei; Xi, Bo

doi:10.1161/hypertensionaha.113.01965

Cited by 230 publications

(139 citation statements)

References 42 publications

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“…Contrary to these findings, the effect of self-management on medical risk factors was not significant. The efficacy of lifestyle modification at improving blood pressure [46][47]and glucose control [48], as well as lowering cholesterol [49] is well established. A path in which lifestyle behaviour modification precedes changes to medical conditions is thus implied and represents a plausible explanation as to why a significant effect was observed on lifestyle behaviour but not medical risk factors.…”

Section: Discussionmentioning

confidence: 99%

A Systematic Review and Meta-Analysis on Self-Management for Improving Risk Factor Control in Stroke Patients

2016

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Purpose-The aim of this review was to describe the self-management interventions used to improve risk factor control in stroke patients, and quantitatively assess their effects on: 1) overall risk factor control from lifestyle behaviour (i.e. physical activity, diet and nutrition, stress management, smoking, alcohol, and medication adherence), and medical risk factors (i.e. blood pressure, cholesterol, blood glucose); and 2) individual risk factors (e.g. physical activity, blood pressure, cholesterol).Methods-We systematically searched the PubMed, PsycINFO, CINAHL, and Cochrane Database of Systematic Reviews databases to September 2015 to identify relevant randomized controlled trials investigating self-management to improve stroke risk factors. The selfmanagement interventions were qualitatively described, and the data included in meta-analyses.Results-Fourteen studies were included for review. The model estimating an effect averaged across all stroke risk factors was not significant, but became significant when four low quality studies were removed (SMD = 0.10 [95% CI = 0.02 to 0.17], I 2 = 0%, p=0.01). Subgroup analyses revealed a significant effect of self-management interventions on lifestyle behaviour risk factors (SMD = 0.15 [95% CI = 0.04 to 0.25], I 2 = 0%, p=0.007) but not medical risk factors. Medication adherence was the only individual risk factor that self-management interventions significantly improved (SMD = 0.31 [95% CI = 0.07 to 0.56], I 2 = 0%, p=0.01).Conclusions-Self-management interventions appear to be effective at improving overall risk factor control, however, more high quality research is needed to corroborate this observation. SelfCorresponding author: Janice J. Eng, PhD, BSc(PT/OT), Department of Physical Therapy, University of British Columbia, 212-2177 Wesbrook Mall, Tel: 604-714-4108; Fax: 604-714-4168; janice.eng@ubc.ca. Compliance with Ethical StandardsConflict of Interest: BMS declares that he has no conflict of interest. AJK declares that she has no conflict of interest. JJE declares that she has no conflict of interest. Ethical approval: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent: Informed consent was obtained from all individual participants included in the study.

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Section: Discussionmentioning

confidence: 99%

A Systematic Review and Meta-Analysis on Self-Management for Improving Risk Factor Control in Stroke Patients

2016

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“…Hasil penelitian ini juga sesuai sebuah metaanalisis yang menunjukkan tidak ada hubungan antara aktivitas fi sik dengan kejadian hipertensi (12). Sebaliknya, penelitian di Yogyakarta menunjukkan terdapat hubungan yang signifi kan antara aktivitas fisik dan hipertensi pada lansia di Kecamatan Kasihan Bantul (p=0,004) (13).…”

Section: Hubungan Aktivitas Fisik Dengan Kejadian Hipertensiunclassified

Asupan lemak dan aktivitas fisik serta hubungannya dengan kejadian hipertensi pada pasien rawat jalan

Kartika

Afifah

Suryani

2017

IJND

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Asupan lemak dan aktivitas fi sik dan hubungannya dengan kejadian hipertensi pada pasien rawat jalan 139Asupan lemak dan aktivitas fi sik serta hubungannya dengan kejadian hipertensi pada pasien rawat jalanThe correlation between fat intake and physical activity, their correlation with hypertension among outpatients p=0,009,OR:3,839, 95% CI: 1,861), age (p=0,008,OR:3,37, 95% CI:1,476) and hypertension. However, no signifi cant correlation between physical activity ( τ=0, 075, p=0,451), body mass index (p=0,065,OR:2,155, 95% CI:0,893) and hypertension. Multivariate analysis showed that the most infl uential variable against hypertension was fat intake (p=0, 010, OR (95% CI):4,246 (1,721)

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“…Physical activity positively affects health status in different types of populations (1)(2)(3)(4)(5)(6)(7)(8)(9). Previous studies in patients with CKD and patients on maintenance hemodialysis (MHD) have shown associations of physical activity with improved outcomes (10)(11)(12)(13)(14)(15)(16)(17)(18).…”

Section: Introductionmentioning

confidence: 99%

Associations of Self-Reported Physical Activity Types and Levels with Quality of Life, Depression Symptoms, and Mortality in Hemodialysis Patients

Lopes

Lantz

Morgenstern

et al. 2014

Clinical Journal of the American Society of Nephrology

128

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Background and objectives Physical activity has been associated with better health status in diverse populations, but the association in patients on maintenance hemodialysis is less established. Patient-reported physical activities and associations with mortality, health-related quality of life, and depression symptoms in patients on maintenance hemodialysis in 12 countries were examined.Design, setting, participants, & measurements In total, 5763 patients enrolled in phase 4 of the Dialysis Outcomes and Practice Patterns Study (2009)(2010)(2011) were classified into five aerobic physical activity categories (never/ rarely active to very active) and by muscle strength/flexibility activity using the Rapid Assessment of Physical Activity questionnaire. The Kidney Disease Quality of Life scale was used for health-related quality of life. The Center for Epidemiologic Studies Depression scale was used for depression symptoms. Linear regression was used for associations of physical activity with health-related quality of life and depression symptoms scores. Cox regression was used for association of physical activity with mortality.Results The median (interquartile range) of follow-up was 1.6 (0.9-2.5) years; 29% of patients were classified as never/rarely active, 20% of patients were classified as very active, and 20.5% of patients reported strength/ flexibility activities. Percentages of very active patients were greater in clinics offering exercise programs. Aerobic activity, but not strength/flexibility activity, was associated positively with health-related quality of life and inversely with depression symptoms and mortality (adjusted hazard ratio of death for very active versus never/ rarely active, 0.60; 95% confidence interval, 0.47 to 0.77). Similar associations with aerobic activity were observed in strata of age, sex, time on dialysis, and diabetes status. ConclusionsThe findings are consistent with the health benefits of aerobic physical activity for patients on maintenance hemodialysis. Greater physical activity was observed in facilities providing exercise programs, suggesting a possible opportunity for improving patient outcomes.

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Physical Activity and Risk of Hypertension

Cited by 230 publications

References 42 publications

A Systematic Review and Meta-Analysis on Self-Management for Improving Risk Factor Control in Stroke Patients

A Systematic Review and Meta-Analysis on Self-Management for Improving Risk Factor Control in Stroke Patients

Asupan lemak dan aktivitas fisik serta hubungannya dengan kejadian hipertensi pada pasien rawat jalan

Associations of Self-Reported Physical Activity Types and Levels with Quality of Life, Depression Symptoms, and Mortality in Hemodialysis Patients

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