Subjective Measures of Workload and Sleep in Australian Army Recruits; Potential Utility as Monitoring Tools

2022 ◽  
Author(s):  
Neil Gibson ◽  
Jace R Drain ◽  
Penelope Larsen ◽  
Sean Williams ◽  
Herbert Groeller ◽  
...  
Keyword(s):  
Heart Rate ◽  
Sleep Duration ◽  
Information Criterion ◽  
Objective Measures ◽  
Average Heart Rate ◽  
Subjective Measures ◽  
Activity Monitors ◽  
Subjective Sleep ◽  
Proxy Measure ◽  
Army Recruits

ABSTRACT Introduction Subjective measures may offer practitioners a relatively simple method to monitor recruit responses to basic military training (BMT). Yet, a lack of agreement between subjective and objective measures may presents a problem to practitioners wishing to implement subjective monitoring strategies. This study therefore aims to examine associations between subjective and objective measures of workload and sleep in Australian Army recruits. Materials and Methods Thirty recruits provided daily rating of perceived exertion (RPE) and differential RPE (d-RPE) for breathlessness and leg muscle exertion each evening. Daily internal workloads determined via heart rate monitors were expressed as Edwards training impulse (TRIMP) and average heart rate. External workloads were determined via global positioning system (PlayerLoadTM) and activity monitors (step count). Subjective sleep quality and duration was monitored in 29 different recruits via a customized questionnaire. Activity monitors assessed objective sleep measures. Linear mixed-models assessed associations between objective and subjective measures. Akaike Information Criterion assessed if the inclusion of d-RPE measures resulted in a more parsimonious model. Mean bias, typical error of the estimate (TEE) and within-subject repeated measures correlations examined agreement between subjective and objective sleep duration. Results Conditional R2 for associations between objective and subjective workloads ranged from 0.18 to 0.78, P < 0.01, with strong associations between subjective measures of workload and TRIMP (0.65–0.78), average heart rate (0.57–0.73), and PlayerLoadTM (0.54–0.68). Including d-RPE lowered Akaike Information Criterion. The slope estimate between objective and subjective measures of sleep quality was not significant. A trivial relationship (r = 0.12; CI −0.03, 0.27) was observed between objective and subjective sleep duration with subjective measures overestimating (mean bias 25 min) sleep duration (TEE 41 min). Conclusions Daily RPE offers a proxy measure of internal workload in Australian Army recruits; however, the current subjective sleep questionnaire should not be considered a proxy measure of objective sleep measures.

Subjective Sleep Debt Is Correlated with Body Fat Percentage Independent of Sleep Duration

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1675-P
Author(s):  
XIAO TAN ◽  
CHRISTIAN BENEDICT
Keyword(s):  
Sleep Duration ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Subjective Sleep ◽  
Sleep Debt

scholarly journals Usefulness of Linear Mixed-Effects Models to Assess the Relationship between Objective and Subjective Internal Load in Team Sports

2021 ◽  
Vol 18 (2) ◽  
pp. 392
Author(s):  
Alice Iannaccone ◽  
Daniele Conte ◽  
Cristina Cortis ◽  
Andrea Fusco
Keyword(s):  
Heart Rate ◽  
Perceived Exertion ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Team Sports ◽  
Rating Of Perceived Exertion ◽  
Subjective Measures ◽  
Internal Load ◽  
Random Slopes ◽  
The Relationship

Internal load can be objectively measured by heart rate-based models, such as Edwards’ summated heart rate zones, or subjectively by session rating of perceived exertion. The relationship between internal loads assessed via heart rate-based models and session rating of perceived exertion is usually studied through simple correlations, although the Linear Mixed Model could represent a more appropriate statistical procedure to deal with intrasubject variability. This study aimed to compare conventional correlations and the Linear Mixed Model to assess the relationships between objective and subjective measures of internal load in team sports. Thirteen male youth beach handball players (15.9 ± 0.3 years) were monitored (14 training sessions; 7 official matches). Correlation coefficients were used to correlate the objective and subjective internal load. The Linear Mixed Model was used to model the relationship between objective and subjective measures of internal load data by considering each player individual response as random effect. Random intercepts were used and then random slopes were added. The likelihood-ratio test was used to compare statistical models. The correlation coefficient for the overall relationship between the objective and subjective internal data was very large (r = 0.74; ρ = 0.78). The Linear Mixed Model using both random slopes and random intercepts better explained (p < 0.001) the relationship between internal load measures. Researchers are encouraged to apply the Linear Mixed Models rather than correlation to analyze internal load relationships in team sports since it allows for the consideration of the individuality of players.

scholarly journals 651 Longitudinal, unobtrusive, and ecologically valid sleep metric estimation from a smart bed to predict the pathology of COVID-19

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A255-A255
Author(s):  
Dmytro Guzenko ◽  
Gary Garcia ◽  
Farzad Siyahjani ◽  
Kevin Monette ◽  
Susan DeFranco ◽  
...  
Keyword(s):  
Heart Rate ◽  
Sleep Quality ◽  
Predictive Model ◽  
Sleep Duration ◽  
Wearable Sensors ◽  
Test Results ◽  
Cloud Data ◽  
Cardiorespiratory Function ◽  
Group Data ◽  
Rich Information

Abstract Introduction Pathophysiologic responses to viral respiratory challenges such as SARS-CoV-2 may affect sleep duration, quality and concomitant cardiorespiratory function. Unobtrusive and ecologically valid methods to monitor longitudinal sleep metrics may therefore have practical value for surveillance and monitoring of infectious illnesses. We leveraged sleep metrics from Sleep Number 360 smart bed users to build a COVID-19 predictive model. Methods An IRB approved survey was presented to opting-in users from August to November 2020. COVID-19 test results were reported by 2003/6878 respondents (116 positive; 1887 negative). From the positive group, data from 82 responders (44.7±11.3 yrs.) who reported the date of symptom onset were used. From the negative group, data from 1519 responders (48.4±12.9 yrs.) who reported testing dates were used. Sleep duration, sleep quality, restful sleep duration, time to fall asleep, respiration rate, heart rate, and motion level were obtained from ballistocardiography signals stored in the cloud. Data from January to October 2020 were considered. The predictive model consists of two levels: 1) the daily probability of staying healthy calculated by logistic regression and 2) a continuous density Hidden Markov Model to refine the daily prediction considering the past decision history. Results With respect to their baseline, significant increases in sleep duration, average breathing rate, average heart rate and decrease in sleep quality were associated with symptom exacerbation in COVID-19 positive respondents. In COVID-19 negative respondents, no significant sleep or cardiorespiratory metrics were observed. Evaluation of the predictive model resulted in cross-validated area under the receiving-operator curve (AUC) estimate of 0.84±0.09 which is similar to values reported for wearable-sensors. Considering additional days to confirm prediction improved the AUC estimate to 0.93±0.05. Conclusion The results obtained on the smart bed user population suggest that unobtrusive sleep metrics may offer rich information to predict and track the development of symptoms in individuals infected with COVID-19. Support (if any):

The Effect of a Single Dose of Quazepam (Sch-16134) on the Sleep of Chronic Insomniacs

1979 ◽  
Vol 7 (6) ◽  
pp. 583-587 ◽  
Author(s):  
Thomas Roth ◽  
Elizabeth I Tietz ◽  
Milton Kramer ◽  
Mark Kaffeman
Keyword(s):  
Single Dose ◽  
Side Effects ◽  
Chronic Administration ◽  
Sleep Efficiency ◽  
Objective Measures ◽  
Subjective Measures ◽  
Sleep Maintenance ◽  
Eeg Changes ◽  
Different Doses ◽  
Polysomnographic Recording

The present study evaluated the efficacy of 25 mg of quazepam, a new benzodiazepine hypnotic, in a population of chronic insomniacs. The results indicate that a single dose (25 mg) administered for one night was efficacious when measured both objectively by polysomnographic recording and subjectively by questionnaire with no reported side-effects. The change in the objective measures paralleled the direction of change in subjective measures. Sleep efficiency and sleep maintenance were improved without EEG changes in Stages 2, 3-4, and REM. Further study is needed to evaluate the effects of chronic administration of different doses of quazepam in chronic insomniacs.

304 The relationship between basic personality, subjective sleep duration, and psychological distress during a military deployment

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A121-A121
Author(s):  
Walter Sowden ◽  
Alexxa Bessey ◽  
Julie Merrill ◽  
Ashlee Mckeon ◽  
Jake Choynowski ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Personality Traits ◽  
Sleep Duration ◽  
Big Five ◽  
Military Personnel ◽  
The United States ◽  
Post Traumatic Stress ◽  
Medicine Research ◽  
Subjective Sleep ◽  
The Relationship

Abstract Introduction Extended, overseas operations (deployments) increase the likelihood that military personnel will experience psychological distress. Reduced sleep during deployments is a key correlate of psychological distress. Thus, it is imperative to identify mechanisms that adaptively modulate the relationship between insufficient sleep and psychological distress. Research has recently connected basic personality traits (i.e., the Big Five: extraversion, agreeableness, conscientiousness, neuroticism, and openness) to more sleep. The current project aimed to examine the relationship between basic personality traits, subjective sleep duration (SSD), and psychological distress during an operational deployment. Methods 488 soldiers took surveys both prior to and half-way through a nine-month deployment. The pre-deployment survey included the Big Five Index, and three standardized measures of psychological distress commonly used to screen military personnel for anxiety (Generalized Anxiety Disorder; GAD-7), depression (Patient Health Questionnaire; PHQ-8), and post-traumatic stress (Posttraumatic Symptom Disorder Checklist; PCL-4). The mid-deployment survey included an item from the Pittsburgh Sleep Quality Index measuring SSD and the same psychological distress measures from the pre-deployment survey. General linear models were used to test the interaction between SSD and each basic personality trait on each measure of psychological distress at mid-deployment while accounting for psychological distress at pre-deployment. Results Of the Big Five, conscientiousness was the only trait to significantly moderate the relationship between SSD and anxiety, t = 2.11, p = .035, where higher conscientiousness weakened the relationship. Further only agreeableness attenuated the relationship between depression and SSD, t = 2.10, p = .036. Interestingly, the only Big Five trait that moderated the relationship between SSD and PTS was openness, insomuch that openness strengthened the relationship, t = -1.92, p = .055. Conclusion The relationship between SSD and psychological distress was uniquely impacted by different personality traits. These results reinforce the age-old concept that behavior is the product of a complex, nuanced, and puzzling interaction between the individual and the environment. The current research motivates further research into personality as an adaptive mechanism for optimizing military wellbeing. Support (if any) Support for this study came from the Military Operational Medicine Research Program (MOMRP) of the United States Army Medical Research and Development Command (USAMRDC).

scholarly journals Sleep Indices and Cardiac Autonomic Activity Responses during an International Tournament in a Youth National Soccer Team

2021 ◽  
Vol 18 (4) ◽  
pp. 2076
Author(s):  
Pedro Figueiredo ◽  
Júlio Costa ◽  
Michele Lastella ◽  
João Morais ◽  
João Brito
Keyword(s):  
Heart Rate ◽  
Frequency Domain ◽  
Sleep Duration ◽  
Time Domain ◽  
Soccer Players ◽  
Autonomic Activity ◽  
Male Youth ◽  
Youth Soccer ◽  
Wrist Actigraphy ◽  
Cardiac Autonomic Activity

This study aimed to describe habitual sleep and nocturnal cardiac autonomic activity (CAA), and their relationship with training/match load in male youth soccer players during an international tournament. Eighteen elite male youth soccer players (aged 14.8 ± 0.3 years; mean ± SD) participated in the study. Sleep indices were measured using wrist actigraphy, and heart rate (HR) monitors were used to measure CAA during night-sleep throughout 5 consecutive days. Training and match loads were characterized using the session-rating of perceived exertion (s-RPE). During the five nights 8 to 17 players slept less than <8 h and only one to two players had a sleep efficiency <75%. Players’ sleep duration coefficient of variation (CV) ranged between 4 and 17%. Nocturnal heart rate variability (HRV) indices for the time-domain analyses ranged from 3.8 (95% confidence interval, 3.6; 4.0) to 4.1 ln[ms] (3.9; 4.3) and for the frequency-domain analyses ranged from 5.9 (5.6; 6.5) to 6.6 (6.3; 7.4). Time-domain HRV CV ranged from 3 to 10% and frequency-domain HRV ranged from 2 to 12%. A moderate within-subjects correlation was found between s-RPE and sleep duration [r = −0.41 (−0.62; −0.14); p = 0.003]. The present findings suggest that youth soccer players slept less than the recommended during the international tournament, and sleep duration was negatively associated with training/match load.

Comparing Objective and Subjective Measures of Sleep Loss with Balance Performance in Farmers

2021 ◽  
Vol 27 (2) ◽  
pp. 69-76
Author(s):  
Devan Sedlacek ◽  
Matthew Beacom ◽  
Sabin R. Bista ◽  
Risto Rautiainen ◽  
Ka-Chun Siu
Keyword(s):  
Sleep Quality ◽  
Sleep Deprivation ◽  
Center Of Pressure ◽  
Objective Measures ◽  
Static Balance ◽  
List Type ◽  
Balance Performance ◽  
Subjective Measures ◽  
Previous Night ◽  
Total Displacement

HighlightsThe farming population is at risk of injury due to sleep deprivation.Loss of sleep during previous night affects balance performance in farmers.Objective measures of sleep are more reliable than subjective measures for predicting balance performance.Abstract. This study aimed to investigate the ability of both subjective and objective sleep measures to predict balance difficulty in agricultural workers. Seven male farmers from rural Nebraska were analyzed for static balance performance following a bout of sleep. Actiwatches were used to measure objective sleep hours and subjective questionnaires, including the Epworth Sleepiness Scale and the Pittsburgh Sleep Quality Index, were used to measure subjective hours of sleep and sleep quality. The participants were observed for 12 sessions, with six in planting season and six in harvest season. Static balance testing consisted of measuring the area, total displacement, and maximum range in the anteroposterior and mediolateral directions of the individual’s center of pressure with Tekscan pressure mats. Overall, it was found that objective measures had a higher correlation with the magnitude of balance deviations than subjective measures. Keywords: Actiwatch, Agricultural worker, Injury, Sleep deprivation.

Does Caffeine Consumption Influence Postcompetition Sleep in Professional Rugby League Athletes? A Case Study

2021 ◽  
pp. 1-4
Author(s):  
Johnpaul Caia ◽  
Shona L. Halson ◽  
Patrick M. Holmberg ◽  
Vincent G. Kelly
Keyword(s):  
Sleep Duration ◽  
Pearson Correlation ◽  
Rugby League ◽  
Caffeine Intake ◽  
Caffeine Consumption ◽  
Caffeine Concentration ◽  
Previous Night ◽  
Activity Monitors ◽  
The Relationship

Purpose: To examine the sleep of rugby league athletes the night before and following an evening match and to investigate the association between caffeine intake and sleep on the night of competition. Methods: On the night prior to, night of, and night after a professional rugby league match, 15 athletes had their sleep monitored using wrist activity monitors. Additionally, saliva samples were collected 60 minutes before and 30 minutes after the competition to assess salivary caffeine concentration. Differences in sleep across the 3 nights were examined using linear mixed models, and changes were assessed using effect size (ES). Pearson correlation (r) assessed the relationship between salivary caffeine levels and sleep indices. Results: On the night of competition, athletes went to bed later than the night before (P = .00002, ES = 1.84) and night after (P = .0003, ES = 1.49) competition. Consequently, their sleep duration was reduced on the night of competition compared with the previous night (P < .0000003, ES = 2.36) and night after competition (P = .001, ES = 1.53). Postcompetition salivary caffeine concentration was substantially elevated in athletes when compared with precompetition measures (P < .00000001, ES = 4.44), and moderate, nonsignificant correlations were observed between changes in salivary caffeine concentration and delayed bedtime (r = .48, P = .07), increased sleep latency (r = .45, P = .09), decreased sleep duration (r = −.30, P = .28), and reduced sleep efficiency (r = −.34, P = .22). Conclusions: These results demonstrate that evening competition results in sleep disturbance in rugby league athletes, and caffeine supplementation prior to and during competition leads to substantial increases in postcompetition salivary caffeine concentration.

Ramadan and blood pressure: importance of chronotherapy

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
MA Bejar ◽  
I Zairi ◽  
I Ben Mrad ◽  
B Besbes ◽  
K Mzoughi ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Dual Therapy ◽  
Average Heart Rate ◽  
Hypertensive Patients ◽  
Mean Values ◽  
Funding Sources ◽  
Cardiology Department ◽  
Group 2 ◽  
And Gender

Abstract Funding Acknowledgements Type of funding sources: None. Background During Ramadan, alterations in the daily patterns of sleep, activities and medication timing might contribute to changes in blood pressure (BP) and heart rate among hypertensive patients. The aim of this study was to examine the effect of medication timing during Ramadan on blood pressure and heart rate in hypertensive subjects taking their treatment once daily. Methods The study prospectively recruited 44 hypertensive patients between April and June 2019, followed up at the cardiology department of our   Hospital. A 24-hour pressure monitoring was carried out during two periods: prior to Ramadan and during the last ten days of Ramadan. Results We studied 29 women and 15 men, mean age was 58.7 years. 34% of the patients were diabetics and 16% had coronaropathy. 46% of the patients were on monotherapy, 43% on dual therapy and 11% on a triple antihypertensive therapy. During Ramadan, 57% of the patients took their treatment during the dinner (group1), whereas 43% took their treatment during the Shour (group 2). Average 24hour blood pressure in the whole group was 129 ± 18/74 ± 10 mmHg before Ramadan and 129 ± 19/74 ± 10 mmHg during Ramadan (p &gt; 0.05). Daytime and nighttime mean values of systolic and diastolic blood pressure as well as mean values of heart rate were not different between both periods regardless of age and gender. However, during Ramadan, those who took their treatment after dinner had significant higher values of 24 hour systolic BP, awake systolic and diastolic BP, asleep systolic and diastolic BP than those who took their treatment with the shour (p &lt; 0.05). Conclusion In this study, there were no significant changes in systolic and diastolic blood pressures as well as heart rate during the 2 periods. However, during Ramadan, a slight superiority of taking the treatment with the shour is observed. Average values of BP and heart rate Group 1 Group 2 p 24 hour SBP (mmHg) 134 ± 23 122 ± 6 0.017 24 hour DBP (mmHg) 76 ± 12 70 ± 5 0.052 Awake SBP (mmHg) 138 ± 23 125 ± 6 0.012 Awake DBP (mmHg) 79 ± 12 73 ± 5 0.044 Asleep SBP (mmHg) 127 ± 26 114 ± 12 0.030 Asleep DBP (mmHg) 71 ± 13 65 ± 7 0.045 24 hour average heart rate (bpm) 71 ± 7 70 ± 6 0.524 Awake average heart rate (bpm) 76 ± 7 74 ± 7 0.322 Asleep average heart rate (bpm) 65 ± 7 65 ± 7 0.931 Average values of blood pressure and heart rate in both groups Abstract Figure. 24hour course of blood pressure

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