scholarly journals Relationship between sleep duration and hypertension in northeast China: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. e023916 ◽  
Author(s):  
Meng Li ◽  
Shoumeng Yan ◽  
Shan Jiang ◽  
Xiaoyu Ma ◽  
Tianyu Gao ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Sleep Duration ◽  
Northeast China ◽  
Total Sample ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cluster Sampling ◽  
Sectional Study ◽  
Short Sleep Duration ◽  
Cross Sectional

ObjectivesPrevious studies have reported that sleep duration might increase the risk of hypertension. However, the results have been conflicting. We investigated whether sleep duration is independently associated with hypertension. We aimed to assess the relationship between sleep duration and hypertension in a population-based cross-sectional study.MethodsIn this study we used multistage stratified cluster sampling. A total of 19 407 adults aged 18–79 years were enrolled in the study. The participants were divided into three groups (<7 hours/day, 7–8 hours/day and >8 hours/day) according to self-reported sleep duration. Hypertension was defined as systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg or the use of anti-hypertensive medications. Univariate and multivariate logistic regressions were performed to determine the association between hypertension and sleep duration adjusted for sociodemographic, body mass index, and lifestyle covariates.ResultsThe overall prevalence of hypertension was 32.6%. Among participants aged 18–44 years, individuals sleeping less than 7 hours per day had a higher risk of hypertension (OR=1.24, 95% CI: 1.05 to 1.46), compared with those who slept 7–8 hours per day. There were no significant associations between sleep duration and hypertension in the total sample, among middle-aged adults (45–59 years) or older adults (60–79 years).ConclusionsOur study demonstrates that short sleep duration was significantly associated with hypertension among people aged 18–44 years in northeast China.

scholarly journals Socio-economic Analysis and the Study of Prevalence, Awareness, Treatment, Control and Risk Factors of Hypertension in Hospital Staff

2013 ◽  
Vol 7 (1) ◽  
pp. 15-19
Author(s):  
Samjhana Shakya ◽  
J Bhattarai ◽  
K Rawal ◽  
AR Kunwar ◽  
YR Shakya ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Economic Status ◽  
Hospital Staff ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Cluster Sampling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Public Health Challenge

Hypertension is an important public health challenge in the developing and the developed world alike. This worksite based descriptive cross-sectional study was undertaken in Sahid Gangalal National Heart Centre in 2010 with 50 subjects were recruited by multistage purposive cluster sampling. The primary aim of this descriptive cross-sectional study was to assess the socioeco­nomic status and to measure the prevalence, awareness, treatment, and correlates of hypertension. The prevalence of pre-hypertension is 38% and hypertension is 34%. Among the hypertensive 53% are aware of their condition and 66.66% of them are under treatment and 16.66% have con­trol over the condition. The prevalence of overweight and obesity were 22% and 4% respectively. The prevalence of central obesity was 29.72% among male and 69% among female. Knowledge, Attitude and Practice on hypertension was satisfactory. Fourteen percent understood hypertension as a raised blood pressure during blood flow in the arteries. Majority of them (72%) have posi­tive attitude towards use of medicine in hypertension. Majority of them (86%) had checked their blood pressure in last 2 years. Difference in prevalence of hypertension was found among the tobacco users and non- users (65% vs 40%), who do regular exercise and those who do not (28% vs. 38%) and sleep disturbance was higher among hypertensive than non-hypertensive (48% vs. 10%). Patients with Dislipidemia (32%) had higher prevalence of hypertension than those without Dislipidemia (44% vs 30 %) Similar finding were found between overweight participants (26%) and normal weight participants (46% vs 34%). The prevalence of hypertension is higher with the higher socio-economic status. Nepalese Heart Journal | Volume 7 | No.1 | November 2010 (special issue) | Page 15-19 DOI: http://dx.doi.org/10.3126/njh.v7i1.8496

Association between cardiometabolic index and stroke: A population-based cross-sectional study

2021 ◽  
Vol 18 ◽  
Author(s):  
Feng-E Li ◽  
Yi Yang ◽  
Zhen-Ni Guo ◽  
Yun Luo ◽  
Fu-Liang Zhang ◽  
...  
Keyword(s):  
Stroke Risk ◽  
Multivariate Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cluster Sampling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Discrimination Ability ◽  
Cardiometabolic Index

Background: Cardiometabolic index (CMI) is associated with several risk factors for stroke; however, few studies have assessed the role of CMI in stroke risk. Objective: This study aimed to assess the association between CMI and stroke in a population-based cross-sectional study. Methods: This study included 4445 general residents aged ≥40 years selected by multistage stratified random cluster sampling. CMI was calculated as the product of the ratio of waist circumference to height (WHtR) and the ratio of triglyceride levels to high-density lipoprotein cholesterol levels (TG/HDL-C). Participants were categorized according to CMI quartiles: quartile 1 (Q1), quartile 2 (Q2), quartile 3 (Q3), and quartile 4 (Q4). Multivariate logistic regression analysis and receiver operating characteristic (ROC) curves were used to assess the association between CMI and stroke. Results: A total of 4052 participants were included in the study, with an overall stroke prevalence of 7.2%. The prevalence of stroke increased with CMI quartiles, ranging from 4.4% to 9.2% (p for trend <0.001). Compared with Q1, stroke risk for Q2, Q3, and Q4 were 1.550-, 1.693-, and 1.704- fold, respectively. The area under the ROC curve (AUC) [95% CI] was (0.574 [0.558−0.589]) for CMI, 0.627 [0.612−0.642]) (p=0.0024) for WHtR, 0.556 [0.540−0.571]) (p<0.0001) for TG/HDL-C. CMI was inferior to WHtR, but CMI had marginal advantage over TG/HDL-C in terms of its stroke discrimination ability. Conclusion: Although there was a strong and independent association between CMI and stroke in the general population, CMI had limited discriminating ability for stroke. Thus, new parameters should be developed.

scholarly journals The Relationship Between Blood Pressure and Sleep Duration in Turkish Children: A Cross-Sectional Study

2018 ◽  
Vol 10 (1) ◽  
pp. 51-58 ◽  
Author(s):  
Cengiz Bal ◽  
Ahmet Öztürk ◽  
Betül Çiçek ◽  
Ahmet Özdemir ◽  
Gökmen Zararsız ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Sleep Duration ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Turkish Children ◽  
The Relationship

scholarly journals Prevalence of short sleep duration and effect of co-morbid medical conditions – A cross-sectional study in Saudi Arabia

2019 ◽  
Vol 8 (10) ◽  
pp. 3334
Author(s):  
AbdulazizA Alrashed ◽  
KholoudA Althakafi ◽  
KhalidI Aljammaz ◽  
IhdaaJ Abdulwahab ◽  
Raghad Hamza ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Sleep Duration ◽  
Cross Sectional Study ◽  
Medical Conditions ◽  
Sectional Study ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Short Sleep

scholarly journals Sleep Quality Among Elderly People Within the Outpatient Department of Songklanagarind Hospital, Thailand: A Cross-Sectional Study

2017 ◽  
Vol 35 (3) ◽  
pp. 195 ◽  
Author(s):  
Warut Aunjitsakul ◽  
Jarurin Pitanupong ◽  
Nisan Werachattawan ◽  
Kanthee Anantapong
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Outpatient Department ◽  
Poor Sleep ◽  
Sectional Study ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Related Data

Objective: To determine the prevalence of sleep quality in the elderly within our outpatient department.Material and Method: A cross-sectional study was conducted by; calculating the sample size for a survey with ‘proportion to size’ at the outpatient department of Songklanagarind Hospital from; October to November, 2015. A total of 408 participants aged between 65 and 99 were interviewed. Demographic and sleep-related data were collected. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) – Thai version. The results were analyzed in terms of descriptive statistics and conducted using R-Epicalc and R-Survey software.Results: Our subjects were predominantly married females. The proportion of those in the 65-74 age range was 63.0%.Most of the participants (70.8%) were poor sleepers, with mean and median PSQI scores of 7.7 and 7.0, respectively.Regarding poor sleepers, their problems were; short sleep duration (99.7%), poor sleep efficiency (61.6%) and daytime dysfunction (51.6%).Conclusion: Similarly to previous studies, our findings showed a high prevalence of poor sleep quality in the elderlypopulation. A sleep duration of less than 6 hours was the major problem in the poor sleeper group. Gaining a betterinsight into sleep quality correlating with comorbidities is recommended.

scholarly journals Association of Sleep Duration and Blood Pressure in Adolescents: A Multicenter Study

2019 ◽  
Vol 33 (1) ◽  
pp. 77-83
Author(s):  
Emanuela De Souza Gomes Dos Santos ◽  
Orivaldo Florencio De Souza
Keyword(s):  
Blood Pressure ◽  
Sleep Duration ◽  
Cardiovascular Health ◽  
Cross Sectional Study ◽  
Regression Analyses ◽  
Sectional Study ◽  
Cross Sectional ◽  
School Based ◽  
Significant Difference ◽  
The Mean

Abstract BACKGROUND Evidence suggests that sleep duration is related to blood pressure (BP), but the findings are still inconsistent for adolescents. OBJECTIVE To analyze the association between sleep duration and BP in Brazilian adolescents between 12 and 17 years of age. METHODS This study is part of the Study of Cardiovascular Risk in Adolescents (ERICA), a multicenter, school-based, cross-sectional study in 273 municipalities in Brazil. The sample consisted of 65,643 adolescents. Sleep duration was measured by a subjective method, and BP was measured by the oscillometric method. Multiple linear regression analyses were performed to evaluate the association between sleep duration and BP. RESULTS The mean sleep duration was 8.14 hours (± 1.40), with significant difference between the groups according to BP levels (P &lt; 0.0001). The mean systolic and diastolic BP were 110.59 (± 11.87) and 65.85 (± 7.94) mm Hg, respectively, in the group of adolescents. Sleep duration was significantly associated with BP. Each increase 1 hour in sleep was associated with BP reduction in both sexes combined (P &lt; 0.0001). Considering the effects of covariates, each increase 1 hour in sleep was associated with systolic BP (SBP) reduction among boys (P = 0.004) and SBP elevation among girls (P = 0.009), after full adjustment. CONCLUSION The results suggest that each increase in sleep duration was associated with SBP elevation among girls. Such findings may have important implications for cardiovascular health in adolescence.

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