scholarly journals Circadian rhythm and gender distribution of cardiac arrest

2018 ◽  
Vol 18 (2) ◽  
pp. 16-21 ◽  
Author(s):  
Nikola Beljić ◽  
Bojana Tomić
Keyword(s):  
Cardiac Arrest ◽  
Circadian Rhythm ◽  
Gender Distribution ◽  
And Gender

scholarly journals Variations in Circadian Rhythmicity and Students’ Gender-Related Psychological Conditions during the COVID-19 Lockdown

2021 ◽  
Vol 11 (7) ◽  
pp. 355
Author(s):  
Ikram Sabaoui ◽  
Said Lotfi ◽  
Mohammed Talbi
Keyword(s):  
Circadian Rhythm ◽  
High School Students ◽  
Traumatic Stress ◽  
Post Traumatic Stress ◽  
School Students ◽  
Daily Lives ◽  
Psychological Conditions ◽  
Post Traumatic ◽  
And Gender ◽  
Current Psychological

In the face of the COVID-19 pandemic experienced around the world, new student lifestyles have had an impact on their daily behavior. The purpose of this study was to examine post-traumatic stress associated with the initial COVID-19 crisis in students (N = 280) with a mean age of 13 ± 1.70 and to determine the relationship between their reported daily behaviors in terms of their gender. The study was conducted primarily in Casablanca and Marrakech, the two cities most affected by the pandemic at the time of the study in Morocco in May 2020. Our sample consists of 133 high school students and 147 middle school students, 83.6% of whom are females. Students were asked to answer questions based on an Activity Biorhythm Questionnaire, the Post-Traumatic Stress Scale (Weathers et al., 1993), the Hamilton Scale (Hamilton, 1960), the Worry Domains Questionnaire (Tallis, Eyzenck, Mathews, 1992), and the Visual Analog Scale of Moods (VASM) (Stern et al., 1997). The results obtained confirm that there is a significant relationship between the circadian rhythm of some variables and gender in some activities such as academic study (p < 0.05) and TV and Internet use (p < 0.05) and was highly significant for physical activity (p = 0.001), while others are not significant in relation to other schedules of the same variables or in relation to others. Likewise, for the psychological conditions, significant relationships with mood states and depressive tendencies were confirmed. In lockdown, the students’ daily lives underwent changes in circadian rhythm and lifestyle. Therefore, it is necessary to treat their current psychological problems and avoid future complications.

scholarly journals SAT0372 PATIENTS WITH PSORIATIC ARTHRITIS SHOW HIGHER BONE DENSITY COMPARED TO AGE AND GENDER MATCHED PATIENTS WITH ANKYLOSING SPONDYLITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1133.2-1134
Author(s):  
D. Freier ◽  
E. Wiebe ◽  
R. Biesen ◽  
T. Buttgereit ◽  
S. Hermann ◽  
...  
Keyword(s):  
Back Pain ◽  
Psoriatic Arthritis ◽  
Ankylosing Spondylitis ◽  
Bone Density ◽  
Rheumatic Diseases ◽  
Inflammatory Rheumatic Diseases ◽  
Age And Gender ◽  
Gender Distribution ◽  
Density Data ◽  
And Gender

Background:The prevalence of osteoporosis in inflammatory rheumatic diseases such as psoriatic arthritis (PsA) has not been sufficiently clarified yet, and the data in the literature are heterogeneous. In addition, it is still unclear to what extent patients with PsA differ in terms of bone density from patients with other forms of spondyloarthritis such as ankylosing spondylitis (AS).Objectives:In an interim analysis of the Rh-GIOP Study (ClinicalTrials.gov IdentifierNCT02719314), we observed that PsA patients demonstrated more frequently normal bone density than any other patient group analyzed (suffering from e.g. rheumatoid arthritis or systemic sclerosis). The main objective of this investigation was to compare bone density data from patients with PsA and AS, as both diseases belong to the spondyloarthritis group. 1100 patients with inflammatory rheumatic diseases provided the basis of Rh-GIOP, a prospective study monitoring glucocorticoid (GC)-induced osteoporosis in patients with rheumatic diseases. Rh-GIOP was established in 2015 at the Charité University Hospital. Bone mineral density data were measured by dual x-ray absorptiometry (DXA).Methods:92 patients with PsA (65% female) were compared with 51 patients suffering from AS (35% female). Potential risk and protective factors (e.g. data on GC treatment, anti-rheumatic therapy), laboratory parameters (e.g. Vitamin D, alkaline phosphatase, calcium and inflammatory markers) and functional status (e.g. Health Assessment Questionnaire, sporting activities, back pain) were compared between these groups. Statistical analysis was performed descriptively using mean and standard deviation, t-tests for metric variables, and chi-square tests for nominal variables. Due to the heterogeneous gender distribution, an additional statistical matching was performed to compare patients matched by age and gender.Results:Patients with PsA displayed significantly higher minimal T-scores than patients with AS (p=0.003) even though patients with AS were younger and more often male (p<0.001). AS patients showed a higher frequency of osteopenic bone densities (p<0.05), however, no differences in the frequency of osteoporotic bone densities were found. Body-mass-index (BMI) was significantly higher (p<0.001) in PsA patients. PsA patients demonstrated a higher frequency of csDMARD use (p<0.001). Additional analyses among PsA patients with and without csDMARDs revealed also significantly higher minimal T-scores in PsA patients taking csDMARDs (90% Methotrexate), and both groups showed the same average of age and gender distribution. Furthermore, AS patients complained significantly more often of back pain (96 % vs. 74%, p=0.001) than PsA patients. No differences in GC use or cumulative GC dose were found. All results could be confirmed when groups were matched by age and gender.Conclusion:Our results demonstrate that patients with PsA display higher bone density compared to age and gender matched patients with ankylosing spondylitis. Possible influencing factors could be the higher frequency of csDMARD use, higher BMI or the lower frequency of back pain in PsA patients. Multivariate tests and additional biomarker investigations in larger cohorts are necessary to corroborate these findings and to identify underlying pathogenic differences which could serve for an explanation.Disclosure of Interests:Desiree Freier: None declared, Edgar Wiebe: None declared, Robert Biesen: None declared, Thomas Buttgereit: None declared, Sandra Hermann: None declared, Timo Gaber: None declared, Frank Buttgereit Grant/research support from: Amgen, BMS, Celgene, Generic Assays, GSK, Hexal, Horizon, Lilly, medac, Mundipharma, Novartis, Pfizer, Roche, and Sanofi.

scholarly journals Age and gender distribution among the patients with Gilbert’s syndrome

2021 ◽  
Vol 6 (2) ◽  
pp. 75-81
Author(s):  
A. N. Volkov ◽  
E. V. Tsurkan
Keyword(s):  
Age Distribution ◽  
Significant Proportion ◽  
Age And Gender ◽  
Gender Distribution ◽  
Gilbert’S Syndrome ◽  
Ugt1a1 Gene ◽  
Screening Programs ◽  
Gilbert's Syndrome ◽  
Syndrome Diagnosis ◽  
And Gender

Aim. To analyze age and gender distribution in patients with Gilbert's syndrome.Materials and Methods. We consecutively recruited 115 patients with Gilbert's syndrome. All patients underwent genotyping of the rs8175347 polymorphism within the UGT1A1 gene using allele-specific polymerase chain reaction to confirm the diagnosis.Results. The age of initial diagnosis ranged from 3 years to 71 years, with the majority (44.3%) of cases detected ≤ 20 years of age. Mean ± standard error and median age of the diagnosis were 30.03 ± 1.72 years and 23 years. Despite the proportion of females and males among patients was similar, age distribution at primary diagnosis was significantly different across the genders. In women, Gilbert's syndrome was most frequently detected between 11 and 20 years (23.1%) and between 51 and 60 years (19.2%). In contrast, male adolescents were more prone to the development of Gilbert's syndrome, as 47.6% of male patients belonged to this age category.Conclusions. Variable age of Gilbert's syndrome diagnosis is probably determined by an individual combination of genetic causes (e.g., mutation of the UGT1A1 gene) and additional risk factors. Adolescents compose a significant proportion of patients. Because of relatively mild disease in many patients and unpredictability of the provoking factors, primary detection of Gilbert's syndrome can be delayed. Differences in age of Gilbert's syndrome diagnosis across the genders can be partially explained by organizational reasons associated with the current screening programs. 

Relationships of Smartphone Dependence With Chronotype and Gender in Adolescence

2019 ◽  
pp. 39-59 ◽  
Author(s):  
Satoko Ezoe ◽  
Masahiro Toda
Keyword(s):  
Circadian Rhythm ◽  
Sleep Disturbances ◽  
Daily Life ◽  
The Internet ◽  
Communication Tools ◽  
Smartphone Use ◽  
And Performance ◽  
And Gender

Smartphone use has rapidly developed in recent years and become an established part of daily life in many countries. As various applications have been developed as communication tools for use with smartphones, allowing the internet to become more accessible, patterns of dependence have been routinely reported particularly among adolescents. In this chapter, the authors reviewed the previous studies about the relationships of smartphone dependence to chronotype and gender among adolescents. Chronotype refers to preference for sleep-wake timing: for example, morning types go to bed, get up, and experience peak alertness and performance earlier in the day than do evening types. It was found that the light emitted from media screen in the evening before bedtime may delay the circadian rhythm. In addition, excessive smartphone use may lead to sleep disturbances. Recent studies suggested that evening types and females may be more prone to become smartphone dependent.

scholarly journals When the Female Heart Stops: Sex and Gender Differences in Out-of-Hospital Cardiac Arrest Epidemiology and Resuscitation

2019 ◽  
Vol 41 (6) ◽  
pp. 1013-1019 ◽  
Author(s):  
Angela F. Jarman ◽  
Bryn E. Mumma ◽  
Sarah M. Perman ◽  
Pavitra Kotini-Shah ◽  
Alyson J. McGregor
Keyword(s):  
Gender Differences ◽  
Cardiac Arrest ◽  
Sex And Gender ◽  
And Gender ◽  
Hospital Cardiac Arrest ◽  
Sex And Gender Differences
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