Sleep Disorder Over Time: Psychiatric Correlates Among Males

1980 ◽  
Vol 136 (5) ◽  
pp. 456-462 ◽  
Author(s):  
Hervey Sweetwood ◽  
Igor Grant ◽  
Daniel F. Kripke ◽  
Marvin S. Gerst ◽  
Joel Yager
Keyword(s):  
Prospective Study ◽  
Sleep Disorder ◽  
Sleep Disturbances ◽  
Time Course ◽  
Psychiatric Symptomatology ◽  
Over Time

SummaryThis 18 month prospective study assessed the time course of sleep disturbances in 85 male psychiatric out-patients and 103 male non-patients. Over one-third of the patients and 5 per cent of the non-patients reported frequent symptoms of insomnia during at least 14 of the 18 months. Frequency and chronicity of insomnia were strongly associated with intensity of psychiatric symptomatology, but not with diagnosis. Minor tranquillizers and hypnotics were used frequently by patients and occasionally by non-patients, but there was little indication that they altered the course of insomnia.

scholarly journals Contribution of sleep disturbances to fatigue in ms: a prospective study using clinical and polysomnographic parameters

2021 ◽  
Author(s):  
Gianna C Riccitelli ◽  
Giulio Disanto ◽  
Rosaria Sacco ◽  
Davide Sparasci ◽  
Leonardo Sacco ◽  
...  
Keyword(s):  
Prospective Study ◽  
Sleep Disturbances ◽  
A Prospective Study

scholarly journals Impact of malnutrition on health-related quality of life in persons receiving dialysis: a prospective study

2021 ◽  
pp. 1-24
Author(s):  
Daniela Viramontes-Hörner ◽  
Zoe Pittman ◽  
Nicholas M Selby ◽  
Maarten W Taal
Keyword(s):  
Quality Of Life ◽  
Prospective Study ◽  
Health Related Quality ◽  
Poor Hrqol ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related ◽  
The Impact ◽  
Over Time

Abstract Health-related quality of life (HRQoL) is severely impaired in persons receiving dialysis. Malnutrition has been associated with some measures of poor HRQoL in cross-sectional analyses in dialysis populations, but no studies have assessed the impact of malnutrition and dietary intake on change in multiple measures of HRQoL over time. We investigated the most important determinants of poor HRQoL and the predictors of change in HRQoL over time using several measures of HRQoL. We enrolled 119 haemodialysis and 31 peritoneal dialysis patients in this prospective study. Nutritional assessments (Subjective Global Assessment [SGA], anthropometry and 24-hour dietary recalls) and HRQoL questionnaires (Short Form-36 [SF-36] mental [MCS] and physical component scores [PCS] and European QoL-5 Dimensions [EQ5D] health state [HSS] and visual analogue scores [VAS]) were performed at baseline, 6 and 12 months. Mean age was 64(14) years. Malnutrition was present in 37% of the population. At baseline, malnutrition assessed by SGA was the only factor independently (and negatively) associated with all four measures of HRQoL. No single factor was independently associated with decrease in all measures of HRQoL over 1 year. However, prevalence/development of malnutrition over one year was an independent predictor of 1-year decrease in EQ5D HSS and 1-year decrease in fat intake independently predicted the 1-year decline in SF-36 MCS and PCS, and EQ5D VAS. These findings strengthen the importance of monitoring for malnutrition and providing nutritional advice to all persons on dialysis. Future studies are needed to evaluate the impact of nutritional interventions on HRQoL and other long-term outcomes.

scholarly journals Jonckheere–Terpstra–Kendall-based non-parametric analysis of temporal differential gene expression

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Hitoshi Iuchi ◽  
Michiaki Hamada
Keyword(s):  
Gene Expression ◽  
Time Series ◽  
Time Course ◽  
Time Series Data ◽  
Expression Patterns ◽  
Detection Methods ◽  
Series Data ◽  
Expression Levels ◽  
Over Time ◽  
Non Parametric

Abstract Time-course experiments using parallel sequencers have the potential to uncover gradual changes in cells over time that cannot be observed in a two-point comparison. An essential step in time-series data analysis is the identification of temporal differentially expressed genes (TEGs) under two conditions (e.g. control versus case). Model-based approaches, which are typical TEG detection methods, often set one parameter (e.g. degree or degree of freedom) for one dataset. This approach risks modeling of linearly increasing genes with higher-order functions, or fitting of cyclic gene expression with linear functions, thereby leading to false positives/negatives. Here, we present a Jonckheere–Terpstra–Kendall (JTK)-based non-parametric algorithm for TEG detection. Benchmarks, using simulation data, show that the JTK-based approach outperforms existing methods, especially in long time-series experiments. Additionally, application of JTK in the analysis of time-series RNA-seq data from seven tissue types, across developmental stages in mouse and rat, suggested that the wave pattern contributes to the TEG identification of JTK, not the difference in expression levels. This result suggests that JTK is a suitable algorithm when focusing on expression patterns over time rather than expression levels, such as comparisons between different species. These results show that JTK is an excellent candidate for TEG detection.

Decomposition of Growth Curves into Growth Rate and Acceleration: a Novel Procedure to Monitor Bacterial Growth and the Time-Dependent Effect of Antimicrobials

2021 ◽  
Author(s):  
M. Luisa Navarro-Pérez ◽  
M. Coronada Fernández-Calderón ◽  
Virginia Vadillo-Rodríguez
Keyword(s):  
Growth Rate ◽  
Mathematical Models ◽  
Bacterial Growth ◽  
Time Course ◽  
Antimicrobial Agents ◽  
Numerical Procedure ◽  
Growth Curves ◽  
Predictive Microbiology ◽  
Insight Into ◽  
Over Time

In this paper, a simple numerical procedure is presented to monitor the growth of Streptococcus sanguinis over time in the absence and presence of propolis, a natural antimicrobial. In particular, it is shown that the real-time decomposition of growth curves obtained through optical density measurements into growth rate and acceleration can be a powerful tool to precisely assess a large range of key parameters [ i.e. lag time ( t 0 ), starting growth rate ( γ 0 ), initial acceleration of the growth ( a 0 ), maximum growth rate ( γ max ), maximum acceleration ( a max ) and deceleration ( a min ) of the growth and the total number of cells at the beginning of the saturation phase ( N s )] that can be readily used to fully describe growth over time. Consequently, the procedure presented provides precise data of the time course of the different growth phases and features, which is expected to be relevant, for instance, to thoroughly evaluate the effect of new antimicrobial agents. It further provides insight into predictive microbiology, likely having important implications to assumptions adopted in mathematical models to predict the progress of bacterial growth. Importance: The new and simple numerical procedure presented in this paper to analyze bacterial growth will possibly allow identifying true differences in efficacy among antimicrobial drugs for their applications in human health, food security, and environment, among others. It further provides insight into predictive microbiology, likely helping in the development of proper mathematical models to predict the course of bacterial growth under diverse circumstances.

scholarly journals Time-course of sFlt-1 and VEGF-A release in neutropenic patients with sepsis and septic shock: a prospective study

2011 ◽  
Vol 9 (1) ◽  
pp. 23 ◽  
Author(s):  
Brunna E Alves ◽  
Silmara AL Montalvao ◽  
Francisco JP Aranha ◽  
Irene Lorand-Metze ◽  
Carmino A De Souza ◽  
...  
Keyword(s):  
Septic Shock ◽  
Prospective Study ◽  
Time Course ◽  
Neutropenic Patients ◽  
Sepsis And Septic Shock ◽  
A Prospective Study

scholarly journals The Association of Unreported Sleep Disturbances and Systemic Inflammation: Findings from the 2005-2008 NHANES

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Jeff A. Dennis ◽  
Ahmad Alazzeh ◽  
Ann Marie Kumfer ◽  
Rebecca McDonald-Thomas ◽  
Alan N. Peiris
Keyword(s):  
Sleep Apnea ◽  
Sleep Disturbance ◽  
Sleep Disorders ◽  
Sleep Disorder ◽  
Inflammatory Markers ◽  
Sleep Disturbances ◽  
Laboratory Data ◽  
Poor Sleep ◽  
Distribution Width ◽  
Inflammatory Status

Background/Objective. Sleep apnea is associated with elevated inflammatory markers. A subgroup of patients never report sleep disturbances to their physician. The inflammatory status of this subgroup is not known. The present study aims to evaluate two inflammatory markers, C-reactive protein (CRP) and red cell distribution width (RDW), in those with unreported sleep disturbances and compares these findings to those with and without reported sleep disorders. We also investigate the utility of RDW as an inflammatory marker in sleep disorders. Methods. Sample includes 9,901 noninstitutionalized, civilian, nonpregnant adults from the 2005-2008 National Health and Nutrition Examination Survey, a nationally representative, cross-sectional U.S. study. Sleep questionnaire and laboratory data were used to compare inflammatory markers (CRP and RDW) in five subgroups of individuals: reporting physician-diagnosed sleep apnea, reporting another physician-diagnosed sleep disorder, reported sleep disturbance to physician with no resulting diagnosis, unreported sleep disturbance (poor sleep quality not reported to physician), and no diagnosed sleep disorder or sleep disturbance. Results. Individuals with unreported sleep disturbance had significantly higher odds of elevated RDW (>13.6%) when compared to those without a sleep disturbance in adjusted models (OR=1.33). Those with unreported sleep disturbance had significantly higher odds of elevated CRP levels (>1 mg/L) than those without sleep disturbances (OR 1.34), although the association was not significant when adjusted for obesity and other controls. Conclusion. Self-identified unreported sleep disturbances are associated with significantly higher odds of elevated RDW than those without sleep disturbances. RDW may serve as a valuable indicator in identifying individuals at higher risk for sleep apnea and other sleep disorders.

scholarly journals CAN POLYARTICULAR ULTRASOUND PREDICT THE DEVELOPMENT OF PSORIATIC ARTHRITIS OVER TIME? – A PROSPECTIVE STUDY WITH 4 YEARS OF FOLLOW-UP

2019 ◽  
Author(s):  
BARBARA CARVALHO KLEMZ ◽  
KARINE RODRIGUES LUZ ◽  
ADRIANA MARIA PORRO ◽  
POLIANNA OLIVEIRA MATOS SOARES ◽  
MARCELO MEDEIROS PINHEIRO
Keyword(s):  
Psoriatic Arthritis ◽  
Prospective Study ◽  
A Prospective Study ◽  
Over Time
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