Effect Of Work Intensity Research Articles

The moderating role of physical activity on the relationship between work intensity and depressive symptoms among the employees

Our aim was to examine the associations between work intensity and depressive symptoms among the working population, as well as to identify the impact of physical activity (PA) on these relationships. Spearman correlation analysis was conducted to analyze the correlations among work intensity, PA, and depressive symptoms. Working hours and working days were positively correlated with depressive symptoms (r = 0.108, 0.063; all p values were <0.001). Regular PA, exercise time, exercise frequency, and exercise years were negatively correlated with depressive symptoms (r = −0.121, −0.124, −0.152, −0.149; all p values were <0.001) and working days (r = −0.066, −0.050, −0.069, −0.044; all p values were <0.001), working hours (r = −0.113. −0.106, −0.161, −0.123; all p values were <0.001). Working days was positively correlated with working hours (r = 0.512, p < 0.001). Different levels of PA alleviated the effect of working hours or working days on depressive symptoms. Working hours seemed to be more correlated with depressive symptoms than working days. The results suggest that PA at any level could buffer against the effects of work intensity and might prove a helpful strategy for improving mental health issues among employees.

A Study on Work Intensity, Work-Life Balance, and Burnout among Korean Neurosurgeons after the Enactment of the Special Act on Korean Medical Residents.

ObjectiveSince the enactment of the Special Act on Korean Medical Residents, neurosurgeons working at training hospitals have been performing the duties of residents, in addition to their existing patient care responsibilities, which include surgery, education, and research. This study explores the relationships between work intensity, work-life balance, and burnout experienced by Korean neurosurgeons. MethodsThe participants (n=451) were neurosurgeons working at training hospitals throughout Republic of Korea. Data on socio-demographic characteristics (including objective and subjective work environment), work intensity, work-life balance, and burnout were gathered using self-report questionnaires completed between March 1 and December 20, 2019. The data were analyzed using descriptive statistics, independent samples t-tests, one-way analysis of variance, Pearson’s correlations, and multiple regression analysis. IBM SPSS Statistics for Windows, version 25 (IBM Corp., Armonk, NY, USA) was used for the analyses. ResultsThe work intensity, work-life balance, and burnout levels of neurosurgeons were 3.95, 3.57 (on a scale from 1 to 5) and 4.60 (on a scale from 1 to 7); and 280 (62.1%) of 451 neurosurgeons were found to be experiencing burnout. By controlling for the socio-demographic characteristics, the effects of work intensity and work-life balance on burnout were analyzed. Work intensity (B=0.314), work-life balance-family and leisure (B=0.216), work-life balance-growth (B=0.147), job stress (B=0.133), and satisfaction with human relationships (B=-0.069) were shown to be significant (all p<0.05), and they were found to affect burnout in the abovementioned order. The overall explanatory power was 58.3% (p<0.05), and the explanatory power with the addition of independent variables such as work intensity and work-life balance was 14.5% (p<0.05). ConclusionThis study showed that Korean neurosurgeons working at training hospitals experienced a high level of work intensity and job stress, and low work-life balance. Additionally, nearly half of the neurosurgeons were found to experience burnout related to factors such as work intensity, work-life balance, job stress, and satisfaction with human relationships. In particular, these factors seem to have deteriorated further after the implementation of the Special Act on Korean Medical Residents. These very high levels of burnout among Korean neurosurgeons who care for patients with both brain and spinal diseases may have a very important impact on patients’ health. Therefore, it is recommended that the Korean Neurosurgical Society and the Korean government make efforts to improve the factors that affect burnout among Korean neurosurgeons.

Effect of Work Intensity, Job Stress and Somatization Symptoms on Certified Care Assistants’ Burnout at Long-term Care Facilities

Purpose This study aimed to identify the degree of work intensity, job stress, somatization symptoms, burnout, and the factors affecting burnout among certified care assistants (CCAs) in long-term care facilities. Methods 181 CCAs from four cities and two counties completed a self-reported questionnaire from 20th April to 26th May, 2019. Data were analyzed using SPSS/WIN 25.0 by descriptive statistics, t-test, ANOVA, Pearson’s correlation coefficients, and a hierarchical multiple linear regression analysis. Results The participants’ burnout totaled 44.04±13.31 (range: 20~100), with significant differences in gender, perceived health status, regular exercise, perceived salary level, job satisfaction, and intention to turnover (t=2.33 p=.021; h=28.88, p<.001; t=2.13, p=.035; t=2.54, p=.012; h=33.17; p<.001; t=3.67, p<.001). Gender, absolute work intensity, job stress, and somatization symptoms significantly affected CCAs’ burnout. In hierarchical multiple regression, regular exercise (β=-.12, p=.048), absolute work intensity (β=.15, p=.020), job stress (β=.43, p<.001), and somatization symptoms (β=.23, p=.001) determined the burnout. This regression model was explained by 41.1% of variances. Conclusion Systemic burnout management programs should be developed considering their role in reducing job stress and somatization symptoms, assigning appropriate work intensities, and offering health care opportunities such as regular exercise. These programs may reduce CCAs’ burnout and additionally provide high-quality care for older adults. Key Words: Nursing home, Workload, Occupational stress, Symptoms, somatic, Burnout

Effect of Work Intensity on Fit Factor and Affecive Quality of Dustproof Mask

Effect of Work Intensity on Fit Factor and Affecive Quality of Dustproof Mask

Effects of Work Intensity and Physical Discomfort on Job Satisfaction in Clinical Nurses

Effects of Work Intensity and Physical Discomfort on Job Satisfaction in Clinical Nurses

Analysis of work zone rear-end crash risk for different vehicle-following patterns

This study evaluates rear-end crash risk associated with work zone operations for four different vehicle-following patterns: car–car, car–truck, truck–car and truck–truck. The deceleration rate to avoid the crash (DRAC) is adopted to measure work zone rear-end crash risk. Results show that the car–truck following pattern has the largest rear-end crash risk, followed by truck–truck, truck–car and car–car patterns. This implies that it is more likely for a car which is following a truck to be involved in a rear-end crash accident. The statistical test results further confirm that rear-end crash risk is statistically different between any two of the four patterns. We therefore develop a rear-end crash risk model for each vehicle-following pattern in order to examine the relationship between rear-end crash risk and its influencing factors, including lane position, the heavy vehicle percentage, lane traffic flow and work intensity which can be characterized by the number of lane reductions, the number of workers and the amount of equipment at the work zone site. The model results show that, for each pattern, there will be a greater rear-end crash risk in the following situations: (i) heavy work intensity; (ii) the lane adjacent to work zone; (iii) a higher proportion of heavy vehicles and (iv) greater traffic flow. However, the effects of these factors on rear-end crash risk are found to vary according to the vehicle-following patterns. Compared with the car–car pattern, lane position has less effect on rear-end crash risk in the car–truck pattern. The effect of work intensity on rear-end crash risk is also reduced in the truck–car pattern.

Effect of Work Intensity on Time Delay in Mediation of Ventilation by Arterial Carbon Dioxide During Recovery From Impulse Exercise

Time delay in the mediation of ventilation (V(.)E) by arterial CO(2) pressure (PaCO(2)) was studied during recovery from short impulse-like exercises with different work loads of recovery. Subjects performed two tests including 10-s impulse like exercise with work load of 200 watts and 15-min recovery with 25 watts in test one and 50 watts in test two. V(.)E, end tidal CO(2) pressure (PETCO(2)) and heart rate (HR) were measured continuously during rest, warming up, exercise and recovery. PaCO(2) was estimated from PETCO(2) and tidal volume (V(T)). Results showed that predicted arterial CO(2) pressure (PaCO(2 pre)) increased during recovery in both tests. In both tests, V(.)E increased and peaked at the end of exercise. V(.)E decreased in the first few seconds of recovery but started to increase again. The highest correlation coefficient between PaCO(2 pre) and V(.)E was obtained in the time delay of 7 s (r=0.854) in test one and in time delays of 6 s (r=0.451) and 31 s (r=0.567) in test two. HR was significantly higher in test two than in test one. These results indicate that PaCO(2 pre) drives V(.)E with a time delay and that higher work intensity induces a shorter time delay.

Reconsidering the effect of work intensity on study time

Recent evidence on the impact of youth employment on study time has found only small, negative effects. However, previous estimates may be biased downwarddue to weak identification and measurement error. In this article, we re-examine the question with more recent data from the American Time Use Survey (2003–11) using a number of alternate estimation techniques. Results show that using a longer time span, state unemployment rates appears to be a stronger instrument for part-time work than was previously found. Depending on the estimation method used, the negative effects of part-time work on study time may be considerably larger than previously thought.

The Effect of Work Intensity on Adolescent Mental Health, Achievement, and Behavioral Adjustment: New Evidence from a Prospective Study

The Effect of Work Intensity on Adolescent Mental Health, Achievement, and Behavioral Adjustment: New Evidence from a Prospective Study

The Effect of Work Intensity on Post Exercise Metabolic Rate in Moderately Trained Overweight Men

The Effect of Work Intensity on Post Exercise Metabolic Rate in Moderately Trained Overweight Men

Effect of work intensity on performance in a psychomotor task during exercise.

The influence of work intensity on performance in a psychomotor task was examined using 10 male subjects. The experiment involved a 60s pursuit rotor task during both the 4th and 6th min of cycling at zero resistance and at 25,40,55,70 and 85% V˙O2 max. A curve of the inverted-U form was found to fit the performance data significantly (p<0·05). The mean optimal loading was calculated to occur at a moderate work intensity of 38% V˙O2 max. The results have implications for activities where psychomotor tasks are superimposed on a requirement for high muscular power output levels.

Effect of work intensity and duration on recovery O2.

This study was undertaken to determine the effects of exercise intensity and duration on the time course and magnitude of recovery O2. Eighteen men exercised at 50, 65, and 80% of maximal O2 consumption (VO2max) for 5 and 20 min. Each exercise bout was preceded and followed by cycling at 150 kpm.min-1, which established the base-line VO2 used in this study. The magnitude of the rapid component of recovery O2 was proportional to exercise intensity and was not altered by exercise duration. The slow component of recovery O2 was not significantly altered by exercise intensity or duration at 50 and 65% of VO2max. However, after 20 min of exercise at 80% of VO2max, the slow component of recovery 02 was 5 times (p less than 0.01) larger than after the 5-min exercise at 80% of VO2max. End-exercise blood lactate level was also higher after the 20-min bout at 80% of VO2max; however, at most, 30% of the difference between the magnitude of the slow components of recovery O2 after the 5- and 20-min rides at 80% of VO2max could be accounted for by lactate metabolism. The Q10 effect of temperature on metabolism could account for 60-70% of the slow components of recovery O2 at all work rates and durations. It could also account for the remaining 70% of the increase in the slow component after the 20-min exercise at 80% of VO2max.