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The purpose of this paper is to investigate the relationship between resting heart rate (RHR) and psychopathy. The literature on heart rate vs criminality (including violence) is quite clear; low RHR is associated with engaging in violent and criminal behavior. However, results are not as consistent for psychopathy.

This paper analyzes heart rate measured at ages 18 and 48, and psychopathy at age 48, in the Cambridge Study in Delinquent Development (CSDD). The CSDD is a prospective longitudinal study that has followed 411 boys from childhood to middle age, and measured social and biological factors of interest to the field of criminal psychology.

Interestingly, it was only heart rate at age 18 that was negatively and significantly related to psychopathy at age 48. No trends or relationships were found between heart rate at age 48 and psychopathy at age 48. The findings do, however, indicate that low heart rate at age 18 predicts psychopathy at age 48, and the strongest negative relationships are found between low heart rate (beats per minute) and impulsive and antisocial psychopathic symptoms.

This is the first ever longitudinal study showing that low RHR predicts later psychopathy. Suggestions for future research are outlined.

The purpose of the present study was to identify common stressors and the magnitude of stress reactivity in police officers during the course of general duty police work. Using heart rate as a primary indicator of autonomic nervous system activation, coupled with observed physical activity data collected through 76 full shift ride‐alongs, this study differentiates between physical and psycho‐social stress. The results, confirming previous research based on self‐report data alone, demonstrate that police officers experience both physical and psycho‐social stress on the job, anticipating stress as they go about their work, while suffering anticipatory stress at the start of each shift. The results demonstrated that the highest levels of stress occur just prior to and during critical incidents, and that officers do not fully recover from that stress before leaving their shift. Overall, the results illustrate the need to consider stress reactivity and repressors in the assessment of police officer stress while clearly demonstrating the need for debriefing after critical incidents and increased training in stress management and coping strategies.

The purpose of this study is to investigate the relationship between selected physical-physiological parameters and efficiency of pistol shooting.

In all, 237 male volunteers, studying at a Turkish Police Academy within the age range of 19-20 years old were investigated. The physical fitness levels were evaluated by valid and reliable test batteries. The efficiency of pistol shooting was evaluated by the total points of the bullets which hit the target from 10 m.

Significant differences were found between the sets of students according to shot accuracy groups for wrist circumference, biceps circumference, femur diameter, hand grip strength, flexibility, aerobic capacity, reaction time, balance, coordination, state anxiety level, anxiety variability, average heart rate, maximal heart rate and heart rate changes. The correlation coefficient between the pistol shooting result and change in heart rate, anxiety variability, mean heart rate during shooting, coordination, state anxiety, maximal heart rate during shooting, balance, hand-grip strength, biceps circumference, femur diameter, wrist circumference and flexibility was significant.

This research identified parameters which were important in profiling a good shooter. In addition, this result could be used for choosing marksmen and guiding shooting training for athletes and police in which shooting skills are important. It was reported that joining simple field physical fitness tests and simple devices such as heart rate polar meters may have an advantage in selecting good shooters. These would save police departments both time and money.

This is the most comprehensive study to date which has evaluated physical fitness in relation to shooting efficiency.

As exposure to psychosocial hazard at work represents a substantial risk factor for employee health in many modern occupations, being able to accurately assess how employees cope with their working environment is crucial. The workplace is generally accepted as being a dynamic environment, therefore, consideration should be given to the interaction between employees and the acute environmental characteristics of their workplace. The purpose of this paper is to investigate the effects of both acute demand and chronic work-related psychosocial hazard upon employees through ambulatory assessment of heart rate variability and blood pressure.

A within-subjects repeated measures design was used to investigate the relationship between exposure to work-related psychosocial hazard and ambulatory heart rate variability and blood pressure in a cohort of higher education employees. Additionally the effect of acute variation in perceived work-related demand was investigated.

Two dimensions of the Management Standards were found to demonstrate an association with heart rate variability; more hazardous levels of “demand” and “relationships” were associated with decreased standard deviation of the normal-to-normal interval. Significant changes in blood pressure and indices of heart rate variability were observed with increased acute demand.

This is the first attempt to combine the Health and Safety Management Standards Indicator Tool with physiological assessment of employees. The results provide evidence of associations between scores on the indicator tool and ambulatory heart rate variability as well as demonstrating that variation in acute perceived work-related demand is associated with alterations to autonomic and cardiovascular function. This has implications not only for employee health and workplace design but also for future studies employing ambulatory physiological monitoring.

Studies of worker heat stress and strain in various countries have found that heat exposure is often likely to exceed the upper threshold limit of international standards. Heat strain data such as oral temperature, recovery heart rate, average heart rate and other work‐related information were investigated to study the impact of strenuous tasks in a hot climate. The study attempted to establish relationships between exposure to heat and heat strain data which could be used as the basis of ergonomic intervention and low‐cost solutions to the avoidance or mitigation of occupational risks.

The purpose of this article is to present a system dynamic model for studying the interconnections between human weight and health problems which cause various problems throughout life.

The paper reviews key points about system thinking, its theories, and system dynamics. Models in the form of causal loops presenting the interconnections between weight factor and health problems are developed and discussed. Thereafter, a flow model of the problem is constructed and deaths caused by heart attack are studied under two situations of regular and taught cases. The paper identifies key health problems related to weight by using causal loops that demonstrate the whole picture of the situation.

With the aid of systems thinking and dynamic modeling researchers can study the impacts of weight on the generation of various health problems such as heart disease, high blood pressure, blood sugar, knee problems and more. This study shows that teaching people about their health will have a significant impact on the number of deaths related to heart attack.

With the model proposed here various studies can be carried out that relates weight to health issues. A sample situation is presented where deaths related to heart attack are simulated.

This article makes a significant contribution to the health study issues due to the fact that it shows how a factor such as weight can impact on hearth attacks, blood pressure, and blood sugar, to mention a few. To the best of the author's knowledge, this is the first study that relates weight to health problems using systems thinking concepts and system dynamic and it therefore make a significant contribution to the health literature.

The purpose of this paper is to determine associations between initially recorded deviations in individual bedside vital parameters that contribute to total Modified Early Warning Score (MEWS) levels 2 or 3 and further clinical deterioration (MEWS level=4).

This was a prospective study in which 27,504 vital parameter values, corresponding to a total MEWS level⩾2, belonging to 1,315 adult medical and surgical inpatient patients admitted to a 90-bed study setting at a university hospital, were subjected to binary logistic and COX regression analyses to determine associations between vital parameter values initially corresponding to total MEWS levels 2 or 3 and later deterioration to total MEWS level ⩾4, and to evaluate corresponding time intervals.

Respiratory rate, heart rate and patient age were significantly (p=0.012, p<0.001 and p=0.028, respectively) associated with further deterioration from a total MEWS level 2, and the heart rate also (p=0.009) from a total MEWS level 3. Within 24 h from the initially recorded total MEWS levels 2 or 3, 8 and 17 percent of patients, respectively, deteriorated to a total MEWS level=4. Patients initially scoring MEWS 2 had a 27 percent 30-day mortality rate if they later scored MEWS level=4, and 8.7 percent if they did not.

It is important to observe all patients closely, but especially elderly patients, if total MEWS levels 2 or 3 are tachypnoea and/or tachycardia related.

Findings might contribute to patient safety by facilitating appropriate clinical and organizational decisions on adequate time spans for early warning scoring in general ward patients.

The Police Training Institute at the University of Illinois designed a fitness training programme which allowed the participants to choose the intensity and mode of their exercise. Between June 1993 and March 1995, the incoming recruits’ fitness level was assessed before and after the training programme in order to measure the improvement induced by the training and to compare the recruits’ fitness level to the general population. The recruits significantly improved their flexibility (19.10 vs 15.13 degrees) and abdominal strength (4.91 vs 4.98 Lovett score). The male recruits improved their aerobic capacity (recovery heart rate: 86.27 vs 81.32 bpm) and the female recruits improved their back strength (4.86 vs 4.97 Lovett score). No significant changes were observed for grip strength (54.62 vs 54.21 kg), relative body fat (19.5 vs 18.5 per cent body fat), blood pressure (diastolic: 77.99 vs 77.52 mm Hg; systolic: 125.47 vs 125.10 mm Hg), and resting heart rate (74.89 vs 74.23 bpm). Compared to population norms, the majority of the recruits were within the normal range for blood pressure, resting heart rate, abdominal and back muscle strength. A large proportion of the recruits had good flexibility, average grip strength, and fair to excellent per cent body fat. Still, 33.4 per cent of the males and 25 per cent of the females were low to very low in aerobic capacity. As a result, the fitness programme has been modified in order to further improve recruits’ fitness.

The purpose fo this paper is to Monitor and sense the sysmptoms of COVID-19 as a preliminary measure using electronic wearable devices. This variability is sensed by electrocardiograms observed from a multi-parameter monitor and electronic wearable. This field of interest has evolved into a wide area of investigation with today’s advancement in technology of internet of things for immediate sensing and processing information about profound pain. A window span is estimated and reports of profound pain data are used for monitoring heart rate variability (HRV). A median heart rate is considered for comparisons with a diverse range of variable information obtained from sensors and monitors. Observations from healthy patients are introduced to identify how root mean square of difference between inter beat intervals, standard deviation of inter-beat intervals and mean heart rate value are normalized in HRV analysis.

The function of a human heart relates back to the autonomic nervous system, which organizes and maintains a healthy maneuver of inter connected organs. HRV has to be determined for analyzing and reporting the status of health, fitness, readiness and possibilities for recovery, and thus, a metric for deeming the presence of COVID-19. Identifying the variations in heart rate, monitoring and assessing profound pain levels are potential lives saving measures in medical industries.

Experiments are proposed to be done in electrical and thermal point of view and this composition will deliver profound pain levels ranging from 0 to 10. Real time detection of pain levels will assist the care takers to facilitate people in an aging population for a painless lifestyle.

The presented research has documented the stages of COVID-19, symptoms and a mechanism to monitor the progress of the disease through better parameters. Risk factors of the disease are carefully analyzed, compared with test results, and thus, concluded that considering the HRV can study better in the presence of ignorance and negligence. The same mechanism can be implemented along with a global positioning system (GPS) system to track the movement of patients during isolation periods. Despite the stringent control measurements for locking down all industries, the rate of affected people is still on the rise. To counter this, people have to be educated about the deadly effects of COVID-19 and foolproof systems should be in place to control the transmission from affected people to new people. Medications to suppress temperatures, will not be sufficient to alter the heart rate variations, and thus, the proposed mechanism implemented the same. The proposed study can be extended to be associated with Government mobile apps for regular and a consortium of single tracking. Measures can be taken to distribute the low-cost proposal to people for real time tracking and regular updates about high and medium risk patients.

Law enforcement officers (LEOs) suffer from premature mortality, intentional and unintentional injury, suicide and are at an increased risk for several non-communicable disease outcomes including cardiovascular disease and several cancers, compared to those employed in other occupations. Repeated exposure to stressful and traumatic stimuli is a possible mechanism driving these adverse health outcomes among LEOs. To better identify the sources of these health problems, the purpose of this paper is to determine the feasibility of conducting a cohort study using physiological measures of stress (e.g. heart rate) with LEOs; perceptions of the FitBit device, including LEO buy-in and attitudes associated with the protocol.

Data were collected from ten recent graduates of the Dallas Police Training Academy.

Results suggest that officer buy-in and protocol compliance was high. Officers were eager to participate in this study, and completion of weekly surveys was 100 percent. Minute-level missing data from wearable devices was relatively low (25 percent), and 90 percent of participants wore the FitBit devices on more than 90 percent of study days.

Results from this study suggest that wearable physiological devices can be effectively used in law enforcement populations to measure stress.