scholarly journals The Effects of Neurosculpting® Meditation on Stress, Anxiety and Sleep on one group of college students

2021 ◽  
Vol 4 (3) ◽  
pp. 01-06
Author(s):  
Kathleen Kelley

Objective: The purpose of this study was to examine if 11 weeks of Neurosculpting® meditation improved sleep and other variables in college aged students. Participants: Fifteen undergraduate students. Methods: Subjects were evaluated at the beginning and end of the semester using two tools: The Pittsburg Sleep Quality Index and the Depression Anxiety Stress Scale. During each session, heart rate and heart rate variability were measured using a smartphone app, fingertip sensor, and HRV monitor. Subjects received 60 minutes of Neurosculpting® Meditation, one time per week, for 11 weeks. Results: The average score of both the DASS and PSQI decreased (p = .54) and (p = .08) respectively. Within each session, average HR decreased and average HRV increased. However, neither variable showed significant changes from the beginning to the end of the semester. Conclusions: This study demonstrated that consistent Neurosculpting® meditation sessions may improve heart rate variability and sleep in college aged students.

2016 ◽  
pp. 67-74
Author(s):  
Maryna Dolzhenko ◽  
Olena Popovich ◽  
Oksana Shershnyova ◽  
Oleksandr Nudchenko ◽  
Kardo Faradzh ◽  
...  

The objective: to evaluate the efficiency of ethylmethylhydroxypyridine (Mexiprim, STADA Arzneimittel AG, Germany) in patients presenting with myocardial infarction at hospital and outpatient stage. Patients and methods. The study included 59 patients with coronary artery disease, acute coronary syndrome with ST1segment elevation in the first day of admission to the ICU, AH, 3-stage, 2 degrees, HF. To all patients basic therapy according to current ESH/ESC guidelines was prescribed. To 39 patients additionally intravenous infusion of 200 mg of mexiprim o.d. for 10 days, followed by 125 mg per os three times a day for next 60 days was administered. Another 20 patients presented control group and received only basic therapy. The study design included: 24-hour Holter monitoring to estimate the dynamics of changes in the ST segment, cardiac arrhythmias and heart rate variability, evaluation by the scale of Beck, Hamilton scale for the assessment of anxiety (HARS) and depression (HDRS), the common blood and urine tests, biochemical blood analysis, evaluation of therapeutic tolerability conducted before treatment and 60 days after treatment. Surveys on a scale SAN, assessment of cognitive impairment on the MMSE scale were performed on the 60th day of treatment. Efficiency criteria were: a 50% reduction of cardiac arrhythmias, a decrease in ischemia, a decrease by 50% or more from baseline average score by HARS, HDRS scales, dynamics of the mental state questionnaire and less than 9 points on a scale of depression, reducing in SAN scale score. Results. In pаtients of mexiprim group significant reduction of depression scores by 62% were observed. According to the dynamics of the mental state questionnaire patients of mexiprim group reported feeling better, that is, reduction of score by 45% . According to the Hamilton scale for the assessment of anxiety (HARS), in particular mental anxiety – decrease in the total score of 65%, somatic anxiety – by 35.5%, and a total of 50% were revealed. In the group of patients receiving additionally intravenous Mexiprim for 10 days significantly reduced the number of single and group PACs, as well as single and multiple PVCs, not only in comparison with these parameters before the treatment, but also in comparison with the control group. In patients treated with Mexiprim no evidence of residual ischaemia were noted, but in the control group statistically significant segment depression ST remained. Heart rate variability was not significantly changed in the control group, but increased in patients who received Mexiprim. Conclusion. Use of Mexiprim in patients with myocardial infarction reduces ST segment depression, amount of ventricular and supraventricular arrhythmias, improved heart rate variability, and the state of anxiety and depression.


2018 ◽  
Vol 50 (5S) ◽  
pp. 188-189
Author(s):  
Alex Claiborne ◽  
Helaine M. Alessio ◽  
Mark Walsh ◽  
Eric Slattery ◽  
Arden McMath ◽  
...  

2018 ◽  
Vol 9 (1) ◽  
pp. 3 ◽  
Author(s):  
Sabah Hammoud ◽  
Rita Karam ◽  
Rabih Mourad ◽  
Iman Saad ◽  
Mazen Kurdi

Real-life stressors, such as university examination, cause an increase in sympathetic activity of the nervous system innervating the heart, and thus an increase in heart rate (HR). Our study aimed to detect changes in heart rate variability (HRV) during different stages of an exam in a group of 90 healthy university students (30 males and 60 females), over 4 h of monitoring divided into 1 h before, 2 h during, and 1 h after the examination. HRV was significantly highest after the exam, indicating release from stress, as compared to before and during the examination when stress was observable. Undergraduate students in different academic years did not differ in terms of stress, indicating the absence of adaptation to exam procedures. However, HR and R-R interval after the exam showed significant difference between first year undergraduate studies and first year of a graduate program, indicating a higher degree of confidence in graduate students. Results also suggest that HRV in females is significantly lower than that in males before and after examination, despite men having greater sympathetic input. In conclusion, the results of our novel study assessing stress in real-time examination show important gender differences, and lack of adaptation with academic study year.


2011 ◽  
Vol 26 (S2) ◽  
pp. 609-609
Author(s):  
A.A. Bayani

Depression and depressive symptoms are among the most common of all mental disorders and health complaints. The main objective of this paper was to examine the study of the relationship between emotional intelligence and depression among undergraduate students. The undergraduate students of the Islamic Azad University, Azadshahr branch (183 women, 123 men) took part in this study. Their ages ranged from 18 to 51 (M = 25.4, SD = 6.1); 124 were married, and 182 were single. All the respondents completed a series of questionnaires including the Farsi version of the Trait Emotional Intelligence Questionnaire (Petrides, & Furnham, 2004), the Depression Anxiety Stress Scale (Lovibond, & Lovibond, 1995). A significant negative correlation has been found between the scores on the Trait Meta-Mood Scale and the Depression Anxiety Stress Scale (r = - .43, P < .0001) for the total group and also separately for tested the groups of men and women.


Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3987 ◽  
Author(s):  
Toshitaka Yamakawa ◽  
Miho Miyajima ◽  
Koichi Fujiwara ◽  
Manabu Kano ◽  
Yoko Suzuki ◽  
...  

A warning prior to seizure onset can help improve the quality of life for epilepsy patients. The feasibility of a wearable system for predicting epileptic seizures using anomaly detection based on machine learning is evaluated. An original telemeter is developed for continuous measurement of R-R intervals derived from an electrocardiogram. A bespoke smartphone app calculates the indices of heart rate variability in real time from the R-R intervals, and the indices are monitored using multivariate statistical process control by the smartphone app. The proposed system was evaluated on seven epilepsy patients. The accuracy and reliability of the R-R interval measurement, which was examined in comparison with the reference electrocardiogram, showed sufficient performance for heart rate variability analysis. The results obtained using the proposed system were compared with those obtained using the existing video and electroencephalogram assessments; it was noted that the proposed method has a sensitivity of 85.7% in detecting heart rate variability change prior to seizures. The false positive rate of 0.62 times/h was not significantly different from the healthy controls. The prediction performance and practical advantages of portability and real-time operation are demonstrated in this study.


2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Syawal Kamiluddin Saptaputra ◽  
Kurnia Wulan Ramadhani ◽  
Suhadi Suhadi

Abstrak Munculnya wabah Covid-19 pada awal tahun 2020 di Indonesia mendorong pemerintah Republik Indonesiamelalui Menteri Pendidikan dan Kebudayaan mengeluarkan himbauan untuk melaksanakan kegiatanpembelajaran jarak jauh. Adaptasi kebiasaan baru dalam dalam proses pembelajaran juga berdampak padaproses belajar mahasiswa di perguruan tinggi. Penelitian ini bertujuan memberikan gambaran kelelahan, gejalastres, kualitas tidur, riwayat penyakit, kekhawatiran terhadap akses jaringan, beban kerja mental, dan status giziselama pembelajaran jarak jauh pada mahasiswa Fakultas Kesehatan Masyarakat Universitas Halu Oleo.Penelitian ini menggunakan metode deskriptif yang dilaksanakan pada bulan Oktober tahun 2020. Jumlahresponden sebanyak 281 siswa yang terdiri dari 84 siswa angkatan 2017, 92 siswa angkatan 2018, dan 105siswa angkatan 2019. Kelelahan diukur dengan menggunakan Industrial Fatigue Research Committee (IFRC),gejala stress diukur menggunakan Depression Anxiety Stress Scale (DASS), Kualitas tidur menggunakanPittsburgh Sleep Quality Index (PSQI), Beban kerja mental menggunakan kuesioner NASA-TLX. Hasil penelitianmenunjukkan 140 siswa (49,8%) mengalami kelelahan sedang, 185 siswa (65,8%) pada stres ringan, 210 siswa(74.8,8%) memiliki kualitas tidur yang buruk, 41 responden (14,6%) memiliki riwayat penyakit, 266 responden(94,6%) memiliki kekhawatiran ketersediaan jaringan, 187 responden (66,6%) mengalami beban kerja mentalsedang, dan 181 responden (62,4%) memiliki status gizi kategori normal. Peneliti berharap hasil penelitian inidapat menjadi bahan masukan atau evaluasi bagi institusi pendidikan dalam meningkatkan efektivitas danefisiensi sistem pembelajaran pada saat Pandemi Covid-19.Kata kunci: Pembelajaran jarak jauh, Kelelahan, Gejala stres, Kualitas tidur, Beban Kerja, Persepsi 


10.2196/18067 ◽  
2020 ◽  
Vol 4 (11) ◽  
pp. e18067
Author(s):  
Jamie M Kawadler ◽  
Nicola Rose Hemmings ◽  
Sonia Ponzo ◽  
Davide Morelli ◽  
Geoffrey Bird ◽  
...  

Background The prevalence of workplace-related stress and anxiety is high, resulting in stress-related physical and mental illness. Digital self-guided interventions aimed at key areas of workplace design may be able to provide remote anxiolytic effects. Objective The aim of this feasibility study is to assess changes in anxiety and mental well-being after use of the BioBase programme, a mobile phone platform for psycho-educational modules, tools, and real-time feedback of physiological data. Methods A 4-week observational study was carried out in 55 healthy adults who were screened for stress with the Depression Anxiety Stress Scale (DASS) Stress subscale. Participants completed anxiety (6-item State-Trait Anxiety Inventory [STAI]) and mental well-being (Warwick-Edinburgh Mental Well-being Scale [WEMWBS]) questionnaires at baseline and at 4 weeks. Feedback questionnaires were administered after 4 weeks. Results After 4 weeks of using the programme and controlling for any effect of being paid to take part in the study, STAI significantly decreased (baseline mean 45.52 [SD 13.2]; 4-week mean 39.82 [SD 11.2]; t54=–3.51; P<.001; CI –8.88 to –2.52; Cohen d=0.96) and WEMWBS significantly increased (baseline mean 48.12 [SD 6.4]; 4-week mean 50.4 [SD 6.9]; t53=2.41; P=.019; CI 0.44-4.23; Cohen d=0.66). Further, higher baseline stress was significantly associated with a greater decrease in STAI (t53=–3.41; P=.001; CI –8.10 to –2.10; R2=0.180) and a greater increase in WEMWBS (t52=2.41; P=.019; CI 0.38-4.11, R2=0.101). On feedback, participants found the programme easy to use/navigate, with the content being acceptable and relevant to workplace-related stressors; 70% (21/30) of participants would recommend the programme to a friend. Conclusions The BioBase programme is a potentially effective intervention in decreasing anxiety and increasing mental well-being, with larger changes in those with higher baseline levels of stress.


2021 ◽  
Vol 75 (Supplement_2) ◽  
pp. 7512520388p1-7512520388p1
Author(s):  
Kelsee Hove ◽  
Callie Lodden ◽  
Emily Mock ◽  
Mariah Roe ◽  
Lindsey Schulz ◽  
...  

Abstract Date Presented Accepted for AOTA INSPIRE 2021 but unable to be presented due to online event limitations. Participants with postconcussion syndrome were taught breathing exercises and given a heart rate variability (HRV) monitor to promote reduced anxiety. Outcome measures included the Perceived Stress Scale, HRV, and anxiety tracking. Each measure improved for participants by the study's conclusion. Primary Author and Speaker: Kelsee Hove Contributing Authors: Callie Lodden, Emily Mock, Mariah Roe, Lindsey Schulz, and Jillian Jones


2020 ◽  
Vol 15 (6) ◽  
pp. 896-899
Author(s):  
Reabias de A. Pereira ◽  
José Luiz de B. Alves ◽  
João Henrique da C. Silva ◽  
Matheus da S. Costa ◽  
Alexandre S. Silva

Objective: To evaluate the accuracy of the smartphone application (app) HRV Expert (CardioMood) and a chest strap (H10 Polar) for recording R-R intervals compared with electrocardiogram (ECG). Methods: A total of 31 male recreational runners (age 36.1 [6.3] y) volunteered for this study. R-R intervals were recorded simultaneously by the smartphone app and ECG for 5 minutes to analyze heart-rate variability in both the supine and sitting positions. Time-domain indexes (heart rate, mean R-R, SD of RR intervals, count of successive normal R-R intervals differing by more than 50 ms, percentage of successive normal R-R intervals differing by more than 50 ms, and root mean square of successive differences between normal R-R intervals), frequency-domain indexes (low frequency, normalized low frequency, high frequency, normalized high frequency, low-frequency to high-frequency ratio, and very low frequency), and nonlinear indexes (SD of instantaneous beat-to-beat variability and long-term SD of continuous R-R intervals) were compared by unpaired t test, Pearson correlation, simple linear regression, and Bland–Altman plot to evaluate the agreement between the devices. Results: High similarity with P value varying between .97 and 1.0 in both positions was found. The correlation coefficient of the heart-rate-variability indexes was perfect (r = 1.0; P = .00) for all variables. The constant error, standard error of estimation, and limits of agreement between ECG and the smartphone app were considered small. Conclusion: The smartphone app and chest strap provide excellent ECG compliance for all variables in the time domain, frequency domain, and nonlinear indexes, regardless of the assessed position. Therefore, the smartphone app replaces ECG for any heart-rate-variability analysis in runners.


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