scholarly journals Role of sleep and stress in metabolic syndrome: a community based cross sectional study in Rishikesh, Uttarakhand

2020 ◽  
Vol 7 (9) ◽  
pp. 3553
Author(s):  
Senkadhirdasan Dakshinamurthy ◽  
Vartika Saxena ◽  
Ranjeeta Kumari ◽  
Anissa Atif Mirza ◽  
Minakshi Dhar ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Cross Sectional Study ◽  
Categorical Variables ◽  
P Value ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Increased Risk

Background: Sleep disturbances and stress may intervene with the physiological processes in human body and act as a modulator of metabolic homeostasis. The aim and objectives of the study were to estimate the person’s average sleep propensity; to estimate the stress level in the study subjects; and to determine the association of sleep and stress with metabolic syndrome.Methods: A community based cross sectional study was conducted in an urban area of Rishikesh. Sample size was calculated to be 478. Data was entered and analyzed using SPSS Version 20.0. Chi-square test was used to examine the association between categorical variables. A p value of <0.05 was considered significant.Results: It was observed that different levels of stress did not have any significant association with metabolic syndrome (MetS) though the odds among individuals with moderate stress were 1.1 times (95% CI 0.6-2.2) higher than those with low stress. The overall sleepiness grading was not significantly associated with Metabolic Syndrome. However, people with mild excessive daytime sleepiness have 4.7 times (95% CI 1.2-18) higher odds of MetS as compared to those with low normal daytime sleepiness. Those with moderate excessive day sleepiness had 1.59 times (95% CI 0.3-8) higher odds of MetS, however it was not statistically significant.Conclusions: Mild excessive daytime sleepiness was associated with an increased risk of metabolic syndrome. People with perceived stress are having higher chance of getting MetS.

Excessive daytime sleepiness and metabolic syndrome: a cross-sectional study

Metabolism ◽  
2015 ◽  
Vol 64 (2) ◽  
pp. 244-252 ◽  
Author(s):  
Amie C. Hayley ◽  
Lana J. Williams ◽  
Gerard A. Kennedy ◽  
Michael Berk ◽  
Sharon L. Brennan ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals The Association between Metabolic Syndrome and Elevated Alanine Aminotransferase Levels in an Indigenous Population in Northern Taiwan: A Community-Based and Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yi-Fang Chen ◽  
Yen-An Lin ◽  
Wei-Chung Yeh ◽  
Yu-Chung Tsao ◽  
Wen-Cheng Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Liver Enzyme ◽  
Indigenous Population ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Increased Risk ◽  
The Relationship ◽  
Northern Taiwan

Our study aims to determine the prevalence of metabolic syndrome (MetS) among the Northern Taiwanese indigenous population and to explore the relationship between MetS and liver enzyme, especially serum alanine transaminase (ALT). This is an observational and cross-sectional study that was conducted in remote villages of an indigenous community in Northern Taiwan between 2010 and 2015. MetS was defined based on the revised NCEP/ATPIII criteria from Taiwan Health Promotion Administration. A total of 454 participants were included in the analysis. There were 277 people with MetS and 177 people without. The prevalence of MetS was 61.01%. The average age was 49.50 years. People with MetS had a significantly higher liver enzyme (ALT) level than those without MetS. In addition, the study showed that participants with higher ALT had a tendency towards a higher prevalence of MetS (76.7% vs. 57.3%, p  = 0.001). The adjusted odds ratio (OR) of ALT levels >36 U/L for MetS was 2.79 (95% CI = 1.24–6.27, p  = 0.01). The area under the ROC curve (AUC) of the ALT level was 0.63 (95% CI = 0.58–0.68, p  < 0.001), which showed that the ALT level was positively associated with MetS. The overall prevalence of MetS was 61.01% in the highland indigenous population in Northern Taiwan; this study indicated that higher serum ALT levels were associated with an increased risk of MetS.

scholarly journals Association between Metabolic Syndrome and Alcohol Consumption: A Cross-sectional Study

2020 ◽  
Author(s):  
Kochakorn Trisrivirat ◽  
Kanokporn Pinyopornpanish ◽  
Wichuda Jiraporncharoen ◽  
Lalita Chutarattanakul ◽  
Chaisiri Angkurawaranon
Keyword(s):  
Metabolic Syndrome ◽  
Alcohol Consumption ◽  
Alcohol Use ◽  
Heavy Drinking ◽  
Cross Sectional Study ◽  
P Value ◽  
Drinking Patterns ◽  
Sectional Study ◽  
Cross Sectional ◽  
Increased Risk

Objective: To determine the association between metabolic syndrome and alcohol consumption, including drinking patterns and risk of harm. Materials and Methods: A cross-sectional study was conducted on 400 participants recruited from the Outpatient Unit of the Family Medicine Department, Faculty of Medicine, Chiang Mai University. Physical examination and blood tests were carried out to evaluate the presence of metabolic syndrome. The drinking patterns were stratified into four levels, which were abstinence, occasional drinking, light–moderate drinking, and heavy drinking (>40 gm/day). The Alcohol Use Disorders Identification Test was used to evaluate the risk of harm from alcohol consumption. Results: The percentage of current drinkers was 27.3%, and most of them were men (87.2%). Waist circumference, triglyceride levels, and diastolic blood pressure were significantly higher among those with a heavy drinking habit and harmful alcohol use/dependence. High density lipoprotein cholesterol (HDL-C) showed different results. A J-shaped association was found between HDL-C and drinking pattern, but an inverse relationship was indicated with the risk of harm. Metabolic syndrome was found to be significantly associated with heavy drinking (OR=4.4, 95% Confidence Interval (CI) 1.2–15.6, p-value 0.021) and the harmful use/dependent categories (OR=5.0, 95% CI 1.1–23.1, p-value 0.039). Conclusion: The results suggest that alcohol drinking tends to be associated with an increased risk of metabolic syndrome. This condition should be screened regularly especially in those with heavy drinking or at-risk drinking habits.

Excessive daytime sleepiness and sleep quality in medical students and their association with smartphone and internet addiction: A cross-sectional study

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
AnantprakashSiddharthkumar Saraf ◽  
HarshalShriram Sathe ◽  
Manoj Talapalliwar ◽  
Vrushti Patil ◽  
Vinay Kumar ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Internet Addiction ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Leptospira spp. seroprevalence in humans involved in a cross-sectional study in Garissa and Tana River Counties, Kenya

2020 ◽  
Author(s):  
Arithi Mutembei ◽  
Festus K. Mutai ◽  
Damaris Mwololo ◽  
John Muriuki ◽  
Mark Obonyo ◽  
...  
Keyword(s):  
Case Fatality ◽  
Cross Sectional Study ◽  
Wilcoxon Test ◽  
Categorical Variables ◽  
P Value ◽  
Continuous Variables ◽  
Sectional Study ◽  
Test Statistic ◽  
Cross Sectional ◽  
Tana River

AbstractIntroductionLeptospirosis is a neglected bacterial zoonotic infection caused by spirochetes of Leptospira genus. Humans get infected through direct or indirect contact with urine of infected animals or environment. It accounts for more than 300,000 severe cases annually worldwide with case fatality rates of over 30%. Costs of diagnosis and treatment for human and animals, disruption of international trade of animals and products, reduced productivity and reproductivity in animals constitute economic importance. In Kenya, leptospirosis burden is significant but under-diagnosis and under-reporting affects the awareness of the disease. This study aimed to determine and compare the sero-prevalence and factors associated with Leptospira spp. in the two counties.MethodsWe conducted a cross-sectional study that involved apparently healthy people of at least 5 years of age in randomly selected households in Garissa and Tana River Counties. Blood samples were collected and tested for Leptospira spp antibodies using IgM ELISA. Standardized structured questionnaires were administered to collect socio-demographic and exposure information. We calculated frequencies and proportions for categorical variables and odds ratios (OR) and 95% confidence interval (CI) to evaluate association between sero-positivity and exposure factors. We used Wilcoxon test to evaluate statistical difference in sero-positivity for continuous variables and calculated test statistic (H) and p-value.ResultsA total of 952 subjects were recruited into the study – these included 482 persons from Garissa and 470 from Tana River. The overall sero-prevalence was 26% [(244/952); (CI: 23% to 29%)]. Garissa County had significantly higher Leptospira spp. seroprevalence (31%, n = 147; CI: 27% to 35%) compared to Tana River County (21 %, n = 97; CI: 17% to 25%). Being a female (OR=1.6, CI: 1.2-2.2) and engaging in pastoralism (OR=2.7, CI: 1.8-3.9) were significantly associated with higher odds of Leptospira spp. seropositivity compared to being a male or working in irrigated areas. The mean altitude of residence of sero-positive patients was 73m ± 21 SD (standard deviation) above sea level and that for sero-negative was 80m ± 22 SD (H=35, p-value = 0.00).ConclusionThis study determined the seroprevalence and risk factors for Leptospira spp. exposure in Garissa and Tana River Counties, Kenya. Females in pastoral communities experience high burden of the disease. Enhanced surveillance in humans and animals and further research is required to understand the complex and multifactorial drivers of leptospirosis transmission in the two Counties.

scholarly journals Assessment on awareness towards preventive measures of COVID-19 in Sheka, Southwestern Ethiopia: Community based cross-sectional Study

2021 ◽  
Author(s):  
Assaye Belay Gelaw ◽  
Solomon Abebaw Andargie
Keyword(s):  
Public Health Problem ◽  
Cross Sectional Study ◽  
P Value ◽  
Critical Element ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Southwestern Ethiopia ◽  
Prevention Methods ◽  
And Control

Abstract Background: The coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and it is the most important of public health problem worldwide. A critical element in tackling the COVID-19 crisis is personal behavioral change; however, there is a paucity of evidence about peoples’ awareness towards COVID-19 pandemic. Hence, the aim of this was to assess the community’s awareness status towards COVID-19 in Sheka, Southwestern Ethiopia.Methods: Community-based cross-sectional study was conducted 10th to 21th April 2020. Four hundred-nineteen individuals participated during the study. Both univariable and multivariable logistic regression analyses were used to identify significant factors of awareness status, and variables with p-value<0.05 indicated it significantly influences the awareness status of the individuals towards COVID-19.Results: According to the study’s results, nearly half (49.4 %) of the participants had awareness about COVID-19 pandemic. Factors such being female equal (AOR: 0.476, 95%CI: 0.293, 0.772),education being secondary and above(AOR:2.178,95%CI:1.323,3.586),and prevention methods being fully used (AOR,8.127,95%CI: 1.273, 51.871)were significantly influencing the awareness status of the community towards COVID-19 pandemic than their counterparts.Conclusion: The study showed that there is a low awareness status among people towards COVID-19.Hence, programs to improve awareness towards COVID-19 pandemic is essential to prevent and control the pandemic.

scholarly journals Excessive daytime sleepiness with snoring or witnessed apnea is associated with handgrip strength: a population-based study

QJM ◽  
2019 ◽  
Vol 112 (11) ◽  
pp. 847-853
Author(s):  
X Cao ◽  
Y Gu ◽  
J Fu ◽  
T Q C Vu ◽  
Q Zhang ◽  
...  
Keyword(s):  
Body Weight ◽  
Muscle Strength ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Handgrip Strength ◽  
Cross Sectional Study ◽  
Analysis Of Covariance ◽  
Poor Sleep ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background Sarcopenia is emerging as an important public health problem, and evidences have determined that poor sleep is associated with muscle strength, but the potential effects of excessive daytime sleepiness (EDS), snoring and witnessed apnea on handgrip strength have not been evaluated. Aim We aimed to examine the association between EDS, snoring, witnessed apnea and muscle strength in an adult population. Design Cross-sectional study. Methods This cross-sectional study comprised 19 434 adults. Handgrip strength was measured using a handheld digital dynamometer. EDS was assessed by Epworth Sleepiness Scale, snoring and witnessed apnea during sleep were reported through simple yes/no questions. Analysis of covariance was carried out to determine the association between EDS with snoring or witnessed apnea and muscle strength. Results The means (95% confidence interval) for average handgrip strength/body weight (kg/kg) across symptoms categories were 0.396 (0.333–0.472), 0.393 (0.330–0.467), 0.396 (0.333–0.471) and 0.386 (0.325–0.460) (P < 0.0001), respectively. Similar results were observed with maximal handgrip strength/body weight (kg/kg). Conclusions Self-reported EDS accompanied with snoring or apnea is associated with lowest handgrip strength, independently of confounding factors. Whether improvement of EDS, snoring and apnea, can ameliorate age-associated decline in muscle strength warrants further studies.

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