scholarly journals 0129 Association of Sleep Quality with Serum Lipids in Obese Adults

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A51-A51
Author(s):  
B Mehta ◽  
A Ankita ◽  
P Raghav ◽  
S Chambial ◽  
N Dutt
Keyword(s):  
Waist Circumference ◽  
Sleep Quality ◽  
Lipid Profile ◽  
Blood Sugar ◽  
Sleep Disturbances ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Fasting Blood Sugar ◽  
Poor Sleep ◽  
Anthropometric Parameters

Abstract Introduction Sleep disturbances have been associated with metabolic dysregulation and have known to contribute to weight gain, obesity, type II diabetes, and cardiovascular disease risk. Obesity due to sleep fragmentation is mediated by multiple pathways like upregulation of orexin neurons and changes in appetite-regulating hormones like Leptin, Ghrelin, which affect food intake and hedonic feeding. Conversely, body mass index (BMI) is associated with alterations in sleep and with high circulating lipids and incidence of coronary heart disease. We hypothesized that poor sleep quality is associated with an adverse serum lipid profile. Methods In this cross-sectional study, till date, 27 obese adult participants were recruited after informed consent. The obesity criterion was taken as BMI ≥ 25 kg/m2. Anthropometric parameters, waist circumference, neck circumference, hip circumference, and BP were measured. Sleep quality was assessed by the “Pittsburgh Sleep Quality Index” (PSQI) questionnaire. A score of 5 or more was considered to be adverse sleep. The fasting blood sugar and lipid profile of each participant was determined. Results The average age, BMI and waist circumference of the subjects were 48.96 ±13.9 years, 32.41± 6.18 kg/m2 and 107.4 ±12.18 cm respectively. The Spearman correlation test revealed a significant correlation between the PSQI scores and triglyceride levels of the participants (p=0.033, r = 0.420). The correlation with BMI (p=0.33, r=0.192), fasting blood sugar (p=0.26, r=0.241), HDL (p=0.27, r = -0.221) and waist circumference (p=0.69, r = -0.082) were not found to be statistically significant. Conclusion We conclude that high triglyceride levels are associated with poor quality of sleep in adults. Although other biochemical parameters did not show a significant correlation, a greater sample size may give us a clear insight into it. Support The study is an intramural project supported by AIIMS, Jodhpur.

Abstract P237: Poor Sleep Quality After Delivery: A Contributor to Increased Cardiovascular Disease Risk for Women With Gestational Hypertension and Preeclampsia?

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Brooke A Aggarwal ◽  
Alisse Hauspurg ◽  
Marie-Pierre St-Onge ◽  
Sanja Jelic ◽  
Janet M Catov
Keyword(s):  
Sleep Quality ◽  
Pregnancy Complications ◽  
Sleep Disturbances ◽  
Disease Risk ◽  
Gestational Hypertension ◽  
Post Partum ◽  
Cardiovascular Disease Risk ◽  
Poor Sleep ◽  
History Of ◽  
Insomnia Symptoms

Background: Hypertensive disorders of pregnancy (HDP) including preeclampsia and gestational hypertension are pregnancy complications which have been shown to increase women’s risk for development of CVD later in life. Pregnant women are predisposed to sleep disturbances which may contribute to risk of HDP; however, whether HDP are associated with poor sleep after delivery has not been well-studied. Hypotheses: We hypothesized that sleep quality would be worse among women with a history of HDP vs those with normotensive pregnancies in the years after delivery among women in harmonized AHA Go Red for Women SFRN Population Science cohorts from Columbia University and Magee Women’s Research Institute. Methods: Baseline data from combined AHA cohorts of 893 women (Magee, n=387; Columbia, n=506) were examined. Women completed a validated pregnancy history questionnaire (kappa=0.71 for self-reported preeclampsia compared to medical record) to list the dates of pregnancies lasting ≥ 24 wks. Women were categorized as having a history of HDP if they indicated they had preeclampsia, eclampsia, or hypertension during pregnancy. Sleep quality was assessed using the validated Pittsburgh Sleep Quality Index (PSQI); higher global sum (range 0-21) indicates worse sleep quality. Insomnia symptoms were assessed using the validated Insomnia Severity Index; higher score (range 0-28) indicates greater insomnia symptoms. Multivariable linear regression models were used to analyze relations between history of HDP and sleep. Models were adjusted for age, race/ethnicity, and education. Results: Overall, 59% of women had ≥1 pregnancy meeting inclusion criterion, with mean time since delivery 13.1±10.7y. Of those women (mean±SD age=41.4±10.6y, 53% racial/ethnic minority), 20% had a history of HDP. Mean sleep quality scores were worse among women who reported a history of HDP vs. those with normotensive pregnancies (6.6 vs. 5.8, p=0.04), and vs those who had never been pregnant (6.6 vs 5.0, p<.0001). Sleep duration was lower in women who had HDP vs. those who had never pregnant (6.2 vs 7.0 h/night, p<.0001), but not vs those with normotensive pregnancies (6.2 vs 6.3 h/night p=0.45). Women with history of HDP had significantly greater insomnia symptoms than those with normotensive pregnancies, after adjustment for confounders (β=4.4, P=0.04). Conclusions: In this diverse sample of women, having a history of HDP was related to poorer sleep in later life. These preliminary findings suggest that women with HDP may be at enhanced risk of CVD due to poor sleep. Analyses are ongoing to confirm these results in a larger sample with sleep data assessed in the short- and long-term post-partum periods. Future studies should also assess the directionality of this association. Sleep behavior may deserve further investigation as a potential target for intervention to reduce CVD risk in women with pregnancy complications.

scholarly journals Sleep Quality in Obesity: Does Adherence to the Mediterranean Diet Matter?

Nutrients ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1364 ◽  
Author(s):  
Giovanna Muscogiuri ◽  
Luigi Barrea ◽  
Sara Aprano ◽  
Lydia Framondi ◽  
Rossana Di Matteo ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Nutrition Education ◽  
Mediterranean Diet ◽  
Sleep Disturbances ◽  
Poor Sleep ◽  
Middle Aged ◽  
Roc Curve Analysis ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
The Mediterranean

Obesity and unhealthy eating habits have been associated with sleep disturbances (SD). The Mediterranean diet (MD) is a healthy nutritional pattern that has been reported to be associated with better health and sleep quality. Thus, the aim of the study was to investigate whether adherence to the MD is associated with sleep quality in a population of middle-aged Italian adults. This cross-sectional study included 172 middle-aged adults (71.5% females; 51.8 ± 15.7 years) that were consecutively enrolled in a campaign to prevent obesity called the OPERA (Obesity, Programs of Nutrition, Education, Research and Assessment of the best treatment) prevention project that was held in Naples on 11–13 October 2019. Anthropometric parameters, adherence to the MD and sleep quality were studied. Overall, 50.6% of the subjects were good sleepers (the Pittsburgh Sleep Quality Index (PSQI) < 5) while 49.4% were poor sleepers (PSQI ≥ 5). Our results demonstrated that good sleepers, when compared to poor sleepers (p < 0.001) had significantly higher adherence to the MD as assessed by PREDIMED (Prevención con Dieta Mediterránea) score, lower BMI (body mass index) and waist circumference (WC). The higher PSQI, the higher the BMI (p < 0.001) and WC values (p < 0.001), thus suggesting that poor sleep was more common in subjects with obesity. In addition, a negative correlation between PSQI and the PREDIMED score (p < 0.001) was found. to the intake of the cluster of foods enclosed in the MD, rather than the intake of the single food, predicted PSQI. By performing a receiver operator characteristic (ROC) curve analysis, we determined a cut-off value at a PREDIMED score < 9 as the threshold for screening poor sleepers. In conclusion, good sleepers had lower BMI and WC and higher adherence to the MD than poor sleepers. PSQI was positively associated to BMI and WC while it was negatively associated to adherence to the MD. The consumption of the MD dietary pattern rather than the intake of a single nutrient has a beneficial effect on sleep quality. Hence, the assessment of sleep should be taken into account in the management of obesity and promoting adherence to the MD could be a tool to improve SD.

scholarly journals KORELASI KADAR GULA DARAH PUASA DAN KUALITAS TIDUR MAHASISWA USIA 20-25 TAHUN DI STIKES MAHARANI

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Sesi Mei Irawati
Keyword(s):  
Young Adults ◽  
Blood Glucose ◽  
Sleep Quality ◽  
Blood Sugar ◽  
Fasting Blood Sugar ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Glucose Meter ◽  
Sugar Levels

Individuals are required to meet basic human needs, one of which is sleep.Sleep disorders play an important role in the development of diabetes through the neuroendocrine metabolic pathway. People who suffer from sleep disorders, sleep quality or sleep quantity experience a decrease in insulin sensitivity and consequently an increase in blood glucose. This aims of this research was to identify the correlation between sleep quality and fasting blood sugar level in young adults. The design was correlational research with cross sectional approach. The sampling technique purposive sampling involving 38 respondents that was selected based on inclusion criteria. This research used question naire Pittsburgh Sleep Quality Index (PSQI) and blood glucose meter. The bivariate analysis use pearson test. The results of this study indicate that of the 38 respondents almost all respondents had poor sleep quality as many as 31 respondents (81.6%) and most of the respondents included in the prediabetes category were 20 respondents ( 52.6%). From the results of the Pearson correlation test obtained (r count ) of 0.700 with p-value 0.000, soit can be concluded that there is a relationship or correlation between the quality of sleep with fasting blood sugar levels in young adults. If the sleep quality score gets lower then blood sugar levels will be lower, and vice versa. Suggestion: to do counseling efforts to improve poor sleep quality to anticipate the risk of diabetes. Keywords: Sleep quality, fasting blood sugar level, diabetes mellitus, young adults Abstrak: Individu dituntut untuk memenuhi kebutuhan dasar manusia, salah satunya adalah tidur. Gangguan tidur memainkan peran penting dalam terjadinya perkembangan diabetes melalui jalur metabolisme neuro endokrin.  Orang yang menderita gangguan tidur, kualitas tidur atau kuantitas tidur mengalami penurunan sensitivitas insulin dan akibatnya terjadi peningkatan glukosa darah. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara kualitas tidur dengan kadar gula darah puasa pada usia dewasa muda. Desain penelitian menggunakan korelasional dengan pendekatan cross-sectional. Teknik pengambilan sampel purposive sampling dan melibatkan 38 responden yang dipilih berdasarkan kriteria inklusi. Instrumen yang digunakan adalah kuesioner Pittsburgh Sleep Quality Index (PSQI) dan blood glucose meter. Teknik statistik yang digunakan adalah uji Pearson. Hasil penelitian ini menunjukkan bahwa dari 38 responden hampir seluruh responden memiliki kualitas tidur buruk sebanyak 31 responden (81.6%) dan sebagian besar responden masuk dalam kategori prediabetes sebanyak 20 responden (52.6%). Dari hasil uji korelasi Pearson didapatkan (r hitung) sebesar 0.700 dengan p-value 0.000 sehingga dapat disimpulkan bahwa terdapat korelasi antara kualitas tidur dengan kadar gula darah puasa pada usia dewasa muda. Apabila skor kualitas tidur semakin rendah maka kadar gula darah akan semakin rendah, demikian pula sebaliknya. Saran: perlu dilakukan upaya penyuluhan tentangmemperbaiki kualitas tidur yang buruk untuk mengantisipasi resiko diabetes. Kata kunci: Kualitas Tidur, Kadar Gula Darah Puasa, Diabetes Melitus, Dewasa Muda

scholarly journals Agreement in cardiovascular risk rating based on anthropometric parameters

2015 ◽  
Vol 13 (3) ◽  
pp. 376-380 ◽  
Author(s):  
Endilly Maria da Silva Dantas ◽  
Cristiane Jordânia Pinto ◽  
Rodrigo Pegado de Abreu Freitas ◽  
Anna Cecília Queiroz de Medeiros
Keyword(s):  
Cardiovascular Diseases ◽  
Waist Circumference ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Categorical Variables ◽  
Height Ratio ◽  
Anthropometric Parameters ◽  
Chi Square ◽  
Waist To Height Ratio ◽  
Conicity Index

Objective To investigate the agreement in evaluation of risk of developing cardiovascular diseases based on anthropometric parameters in young adults.Methods The study included 406 students, measuring weight, height, and waist and neck circumferences. Waist-to-height ratio and the conicity index. The kappa coefficient was used to assess agreement in risk classification for cardiovascular diseases. The positive and negative specific agreement values were calculated as well. The Pearson chi-square (χ2) test was used to assess associations between categorical variables (p<0.05).Results The majority of the parameters assessed (44%) showed slight (k=0.21 to 0.40) and/or poor agreement (k<0.20), with low values of negative specific agreement. The best agreement was observed between waist circumference and waist-to-height ratio both for the general population (k=0.88) and between sexes (k=0.93 to 0.86). There was a significant association (p<0.001) between the risk of cardiovascular diseases and females when using waist circumference and conicity index, and with males when using neck circumference. This resulted in a wide variation in the prevalence of cardiovascular disease risk (5.5%-36.5%), depending on the parameter and the sex that was assessed.Conclusion The results indicate variability in agreement in assessing risk for cardiovascular diseases, based on anthropometric parameters, and which also seems to be influenced by sex. Further studies in the Brazilian population are required to better understand this issue.

THE RELATIONSHIP BETWEEN SMART PHONE USAGE AND SLEEP DISTURBANCES AND PSYCHOLOGICAL DISSTRESS AMONG STUDENTS

2017 ◽  
pp. 125-130
Author(s):  
Minh Tam Nguyen ◽  
Phuc Thanh Nhan Nguyen ◽  
Thi Thuy Hang Nguyen
Keyword(s):  
High School ◽  
High School Students ◽  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Public Health Problem ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
School Students ◽  
The Relationship

The increasing use of smartphone among young people is creating negative effects and is an important public health problem in many countries. Smartphone abuse and addiction may cause physical and psychological disorders among users. However, the awarenes on this issue has been inadequate due to lacking of evidence. Objectives: To describe the current situation of smartphone using among students at highschools and universities in Hue city and to examine the relationship between smartphone using and sleep disturbances and psychological disstress among participants. Methods: A cross-sectional study with a randomly selected sample of 1,150 students at highschools and universities in Hue city. SAS-SV scale was used to evaluate phone addiction status, K10 scale was used for psychological distress assessment and PSQI scale was used to examine the sleep quality. Results: The proportion of students at highschools and universities having smartphones was 78.0%. The rate of smartphone addiction among high school students was 49.1% and that among university students was 43.7%. There was 57.3% of high school students had poor sleep quality, and that of university students was 51.6%. There was a statistically significant association between smartphone addiction and sleep disturbances and psychological disstress among participants (p <0.05). Conclusion: The prevalence of smartphone addiction among students at highschools and universities is alarming and is related to sleep disturbances and psychological disstress among participants. There is a strong call to develop intervention to help students to aware and manage the use of smartphone effectively.

scholarly journals Effects of Triphala on Lipid and Glucose Profiles and Anthropometric Parameters: A Systematic Review

2021 ◽  
Vol 26 ◽  
pp. 2515690X2110110
Author(s):  
Wiraphol Phimarn ◽  
Bunleu Sungthong ◽  
Hiroyuki Itabe
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Blood Glucose ◽  
Waist Circumference ◽  
Lipid Profile ◽  
Body Mass ◽  
The Body ◽  
Current Evidence ◽  
Diabetic Patients ◽  
Anthropometric Parameters

Aim. The efficacy of triphala on lipid profile, blood glucose and anthropometric parameters and its safety were assessed. Methods. Databases such as PubMed, ScienceDirect, Web of Science, and Thai Library Integrated System (ThaiLIS) were systematically searched to review current evidence of randomized controlled trials (RCT) on triphala. RCTs investigating the safety and efficacy of triphala on lipid profile, blood glucose and anthropometric parameters were included. Study selection, data extraction, and quality assessment were performed independently by 2 authors. Results. Twelve studies on a total of 749 patients were included. The triphala-treated groups showed significantly reduced low-density lipoprotein-cholesterol, total cholesterol and triglyceride in 6 studies. Five RCTs demonstrated triphala-treated groups led to statistically significant decrease in body weight, body mass index and waist circumference of obese patients. Moreover, triphala significantly decreased fasting blood glucose level in diabetic patients but not in people without diabetes. No serious adverse event associated with triphala was reported during treatment. Conclusions. This review summarized a current evidence to show triphala might improve the lipid profile, blood glucose, the body weight, body mass index and waist circumference under certain conditions. However, large well-designed RCTs are required to confirm this conclusion.

scholarly journals Association between depression and sleep quality in patients with systemic lupus erythematosus: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Rulan Yin ◽  
Lin Li ◽  
Lan Xu ◽  
Wenjie Sui ◽  
Mei’e Niu ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Sleep Quality ◽  
Lupus Erythematosus ◽  
Sleep Disturbances ◽  
Cochrane Library ◽  
Poor Sleep ◽  
Moderate Correlation ◽  
Systemic Lupus ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality

Abstract Background Currently, there is no consistent understanding of the relationship between depression and sleep quality in patients with systemic lupus erythematosus (SLE). This study aimed to explore the correlation between depression and sleep quality in SLE patients. Methods Five English (PubMed, Web of Science, EMBASE, Cochrane Library, and CINAHL) databases were systematically searched from inception to January 12, 2021. Two authors independently screened publications and extracted data according to set inclusion and exclusion criteria. Statistical analyses were performed with STATA 16.0. Data were pooled using a random-effects model. Results A total of 9 identified studies matched the inclusion criteria, reporting on 514 patients with SLE in the analysis. A moderate correlation of depression with sleep quality was found (pooled r = 0.580 [0.473, 0.670]). Compared to good sleepers, patients with SLE and poor sleep quality had higher levels of depression (standardized mean difference =  − 1.28 [− 1.87, − 0.69]). Depression was associated with subjective sleep quality (r = 0.332 [0.009, 0.592]), sleep latency (r = 0.412 [0.101, 0.649]), sleep disturbances (r = 0.405 [0.094, 0.645]), daytime dysfunction (r = 0.503 [0.214, 0.711]), the four dimensions of Pittsburgh Sleep Quality Index (PSQI), while no significant correlation was found in the other three PSQI dimensions. Conclusion Depression had a moderate correlation with sleep quality in patients with SLE. Patients with poor sleep quality tended to have higher level of depression than that of good sleepers. Awareness of the correlation may help rheumatology physicians and nurses to assess and prevent depression and improve sleep quality in patients with SLE.

scholarly journals Cardiovascular Disease Risk Factors: How Relevant in African Men With Prostate Cancer Receiving Androgen-Deprivation Therapy?

2017 ◽  
Vol 3 (1) ◽  
pp. 7-14
Author(s):  
Okon Ekwere Essien ◽  
Iya Eze Bassey ◽  
Rebecca Mtaku Gali ◽  
Alphonsus Ekpe Udoh ◽  
Uwem Okon Akpan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
Cardiovascular Risk ◽  
Waist Circumference ◽  
Total Cholesterol ◽  
Ldl Cholesterol ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Treatment Naïve

Purpose Cardiovascular disease risk factors have been associated with androgen-deprivation therapy (ADT) in white and Hispanic populations. It is therefore relevant to determine if there exists a relationship between these parameters in the African population. Patients and Methods The design of the study was cross sectional. Prostate-specific antigen concentration, waist circumference, body mass index (BMI), lipid profile, glucose level, and insulin level were determined in 153 patients with prostate cancer and 80 controls. The patients with prostate cancer were divided into subgroups of treatment-naïve patients and those receiving ADT. Results Mean total cholesterol ( P = .010), LDL cholesterol ( P = .021), BMI ( P = .001), and waist circumference ( P = .029) values were significantly higher in patients treated with ADT when compared with treatment-naïve patients. In patients treated with ADT for up to 1 year, only mean BMI was significantly higher than in treatment-naïve patients, whereas those treated with ADT for more than 1 year had significantly higher mean BMI, waist circumference, total cholesterol, and LDL cholesterol values when compared with treatment-naïve patients. There were no significant differences in insulin or glucose levels. Those undergoing hormone manipulation after orchiectomy had fewer cardiovascular risk factors compared with those undergoing hormone manipulation alone. Conclusion This study shows that ADT results in elevated total cholesterol, LDL cholesterol, BMI, and waist circumference values, all of which are risk factors of cardiovascular disease. Screening for cardiovascular risk factors should be included in treatment plans for patients with prostate cancer.

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