scholarly journals The Relationship between Sleep Quality and Blood Pressure in Patients with Hypertension

2018 ◽  
Vol 6 (1) ◽  
pp. 18
Author(s):  
Wahid Nur Alfi ◽  
Roni Yuliwar

Background: Hypertension is one of the non-communicable diseases (NCDs) that is commonly found in Indonesia and the majority of people suffering from hypertension are females with the percentage of 28,80% with late detection of hypertension leads to serious health problems such as organ failure. Lousy sleeping habit or lack of sleeping hours may increase the risk of hypertension, heart disease, and other cardiovascular diseases. Purpose: This study aimed to investigate the relationship between sleep quality with patients’ blood pressure in public health center (puskesmas) in Mojolangu region of Malang city. Methods: The study was analytic observational with cross-sectional study design. The population of this study was all hypertension patients registered in puskesmas Mojolangu. Respondents were selected based on the period of hypertension, so that were 30 respondents included through inclusion and exclusion criteria. The dependent variable was blood pressure, while the independent variable was sleep quality. Data were analyzed through the contingency coefficient. Results: Most of the patients with abnormal blood pressure were females with the percentage of 53,30%, aged 41-60 years old (43,30%) with lousy sleep quality (66,70%). There was a strong correlation between blood pressure in patients with hypertension and sleep quality by 0,65. Conclusion: Most of the respondents with lousy sleep quality will have high blood pressure. Therefore, assistance will be needed on hypertension patients. 

2021 ◽  
Vol 10 (9) ◽  
pp. 1913
Author(s):  
Tomonori Kimura ◽  
Emi Ushigome ◽  
Yoshitaka Hashimoto ◽  
Naoko Nakanishi ◽  
Masahide Hamaguchi ◽  
...  

The association between blood pressure measured at home and handgrip strength in patients with diabetes has not been investigated. Therefore, in this study, we aimed to assess this association among patients with type 2 diabetes. In this cross-sectional study, 157 patients with type 2 diabetes underwent muscle tests and morning and evening blood-pressure measurements at home in triplicate for 14 consecutive days throughout the study period. Univariate and multivariate regression analyses were conducted to analyze the relationship between home blood-pressure parameters and handgrip strength. The average age and hemoglobin A1c of the patients were 70.5 years and 7.1%, respectively. Morning diastolic blood pressure of [β (95% confidence interval; CI): 0.20 (0.03, 0.37)] was associated with handgrip strength in men, while morning systolic blood pressure of [−0.09 (−0.15, −0.04)], morning pulse pressure of [−0.14 (−0.21, −0.08)], and evening pulse pressure of [−0.12 (−0.19, −0.04)] were associated with handgrip strength in women. Home-measured blood pressure was associated with handgrip strength. Sex differences were found in the relationship between home blood-pressure parameters and handgrip strength.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared


BMJ Open ◽  
2017 ◽  
Vol 7 (8) ◽  
pp. e015719 ◽  
Author(s):  
Shuna Yang ◽  
Wei Qin ◽  
Lei Yang ◽  
Huimin Fan ◽  
Yue Li ◽  
...  

ObjectivesRecent studies reported that 24-hour ambulatory blood pressure variability (ABPV) was associated with lacunar infarction and white matter hyperintensities (WMH). However, the relationship between ABPV and enlarged perivascular spaces (EPVS) has not been investigated. Thus, our study aimed to investigate whether ABPV is associated with EPVS by 24-hour ambulatory blood pressure monitoring (ABPM).DesignWe conducted this study as a cross-sectional study.SettingsThe study was based on patients who presented for physical examinations in our hospital from May 2013 to June 2016.ParticipantsPatients with both brain MRI scans and 24-hour ABPM were included and patients with acute stroke, a history of severe stroke and some other severe diseases were excluded. A total of 573 Chinese patients were prospectively enrolled in this study.Primary and secondary outcome measuresEPVS in basal ganglia (BG) and white matter (WM) were identified on MRI and classified into three categories by the severity. WMH were scored by the Fazekas scale. Coefficient of variation (CV) and SD were considered as metrics of ABPV. Spearman correlation analysis and ordinal logistic regression analysis were used to assess the relationship between ABPV and EPVS.ResultsThere were statistical differences among the subgroups stratified by the severity of EPVS in BG in the following ABPV metrics: SD and CV of systolic blood pressure (SBP), CV of diastolic blood pressure (DBP) in 24 hours, daytime and nighttime and SD of DBP in nighttime. The above ABPV metrics were positively associated with the degree of EPVS. The association was unchanged after adjusting for confounders. Spearman correlation analysis showed ABPV was not related to the degree of EPVS in the WM.ConclusionABPV was independently associated with EPVS in BG after controlling for blood pressure, but not in the WM. Pathogenesis of EPVS in BG and WM might be different.


Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Mana Kogure ◽  
Tomohiro Nakamura ◽  
Naho Tsuchiya ◽  
Takumi Hirata ◽  
Akira Narita ◽  
...  

Introduction: Recently, the balance between sodium and potassium intake, i.e. sodium-to-potassium (Na/K) ratio, has received significant attention for prevention of hypertension. Previous studies reported the positive association between urinary Na/K (uNa/K) ratio and hypertension. However, even the same uNa/K ratio value, there might be high Na/ high K ratio or low Na/ low K ratio. Hypothesis: We assessed the hypothesis that blood pressure (BP) is higher in high Na/ high K group than that in low Na/ low K group even at the same uNa/K ratio in general population in cross-sectional study. Methods: The subjects were 20 to 74 years old who participated in The Tohoku Medical Megabank Project Community-based Cohort Study. Of these participants, we targeted 54,011 subjects (men: 20,505 women: 33,506 mean age: 59.9 years) who had information of BP, urinary Na and K. We estimated 24-h urinary excretion of Na and K using Tanaka formula. Urinary Na and K were each classified into quartiles (Na; Q1~Q4, K; Q1~Q4), and set all 16 groups of uNa/K ratio by combining Na and K respectively. To assess the relationship between casual uNa/K ratio and BP, we performed an analysis of covariance to calculate the adjusted mean systolic BP (SBP). We included covariate factors as age, sex, BMI and alcohol intake. We also assessed the relationship between uNa/K ratio and SBP using multiple regression analyses adjusted for covariate factors. We stratified the participants into two groups: ‘under treatment for hypertension’ (n=17,091) and ‘without treatment for hypertension (n=36,920)’. Results: The mean of uNa/K ratio for each group of Na (Q1)/K(Q1), Na (Q2)/K(Q2), Na (Q3)/K(Q3) and Na (Q4)/K(Q4) was all 4.0. As previous report showed, higher uNa/K ratio group showed higher SBP and lower uNa/K group showed lower BP. When we compared adjusted mean SBP of Na (Q1)/K(Q1) and Na (Q4)/K(Q4) the value were comparable, but the value were significantly higher in Na (Q4)/K(Q4) group (The adjusted mean SBP of Na (Q1)/K(Q1), Na (Q2)/K(Q2), Na (Q3)/K(Q3) and Na (Q4)/K(Q4) was 123.6, 124.9, 124.7 and 125.5 mmHg, respectively). The uNa/K was significantly positively associated with SBP independently of age, sex, BMI, and alcohol intake. The finding was unchanged the results in under treatment group. Conclusions: BP was significantly higher in high Na/ high K group than in low Na/ low K group even at the same uNa/K ratio. We suggested that not only increasing K intake but also reducing salt is important for preventing hypertension.


Author(s):  
Xijie Wang ◽  
Yanhui Dong ◽  
Zhiyong Zou ◽  
Jun Ma ◽  
Zhaogeng Yang ◽  
...  

Objective: To investigate the relationship between low birthweight (LBW) and blood pressure and to assess whether LBW leads to a higher risk of high blood pressure (HBP) by gender in Chinese students aged 6–18 years. Also, to investigate whether the association was affected by childhood obesity. Methods: Data was obtained from a baseline dataset of a national school-based program. Anthropometric parameters, including height, weight, and blood pressure, were measured, while birthweight and other characteristics were obtained from questionnaires. Stratified chi-squared tests were used to compare the prevalence of HBP between LBW and normal birthweight (NBW) groups in each age and sex category. Multivariable logistic regressions were conducted to estimate the HBP risks in each birthweight group. Results: Both systolic and diastolic blood pressure showed a U-shaped relationship with increased birthweight. Compared to NBW groups, LBW girls showed a higher HBP risk, with an odds ratio of 1.29 (95% confidence interval (CI): 1.02, 1.64, p = 0.033), regardless of their current body mass index status, while no significant association in boys was found. Conclusions: Low birthweight is associated with higher HBP risk in adolescent girls, regardless of their childhood BMI status.


2014 ◽  
Vol 82 (5) ◽  
pp. 445-449 ◽  
Author(s):  
Setila Dalili ◽  
Hamid Mohammadi ◽  
Seyed Mahmood Rezvany ◽  
Arsalan Dadashi ◽  
Mohammad Hassan Novin ◽  
...  

2018 ◽  
Vol 10 (1) ◽  
pp. 51-58 ◽  
Author(s):  
Cengiz Bal ◽  
Ahmet Öztürk ◽  
Betül Çiçek ◽  
Ahmet Özdemir ◽  
Gökmen Zararsız ◽  
...  

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2568
Author(s):  
Silvia Coronado Ferrer ◽  
Isabel Peraita-Costa ◽  
Agustín Llopis-Morales ◽  
Yolanda Picó ◽  
José Miguel Soriano ◽  
...  

The objective of this study was to examine the relationship between different sleep parameters and energy and macronutrient intake in school-aged children. A total of 203 children 6 to 9 years of age participated in this cross-sectional study. Anthropometric measurements were taken first. Diet was assessed with 3-day food logs and sleep was measured with a questionnaire on sleep quality and a wrist actigraph worn for at least 7 days. A decrease of 165.45 kcal was observed per each additional hour of sleep during the week (β (95% CI) = −165.45 (−274.01, −56.88); p = 0.003). This relationship was also observed for fat (β (95% CI) = −11.14 (−18.44, −3.84); p = 0.003) and protein (β (95% CI) = −13.27 (−22.52, −4.02); p = 0.005). An increase in weekend sleep efficiencies for those under the recommended threshold of 85% also had a similar association with energy (β (95% CI) = −847.43 (−1566.77, 128.09); p = 0.021) and carbohydrate (β (95% CI) = −83.96 (−161.76, −6.15); p = 0.035)) intake. An increase in habitual sleep variability was related with a slight increase in protein intake (β (95% CI) = 0.32 (0.031, 0.62); p = 0.031). Children who slept less had a higher energy intake, especially from fat and protein and those who presented inefficient sleep had a higher carbohydrate intake. Strategies to enhance sleep quality and quantity combined with dietary recommendations could help to improve energy and macronutrient intake levels in children.


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