Sex differences in heart rate responses to occupational stress

Lucas, Bethany; Grayson, Stella; Hamidu, Halimah; Han, Andrew; No, Sandra; Varghese, Ajay; Campisi, Jay

doi:10.1080/10253890.2019.1621282

Cited by 18 publications

(12 citation statements)

References 51 publications

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“…A total of 15 studies were identified for inclusion in this review based on the search term “stress”. Similar to anxiety, the use of cardiac metrics, namely heart rate and heart rate variability, were the predominant physiological markers of stress detection in 10 of the 15 studies which detected stress [ 9 , 12 , 14 , 17 , 18 , 20 , 22 , 23 , 26 , 28 ]. It has been reported that altered HRV measurements are related to ANS dysregulation associated with many cardiovascular diseases including cardiac ischemia, myocardial infarction and heart failure, diabetes, and obesity, as well as mental health conditions including anxiety and depression [ 9 , 46 ].…”

Section: Discussionmentioning

confidence: 99%

“…In studies that only examined HR [ 20 , 22 ] it was found that there was a significant difference between genders, with females having significantly higher average HR than males when exposed to occupational stress, when measured using an Apple Watch (Series 1, Apple Inc., Cupertino, CA, USA) [ 20 ]. Interestingly, Lucas et al (2019) also commented that baseline cardiovascular fitness, determined by survey, had no significant impact on HR, which is the inverse of what is physiologically expected [ 20 ]. Further, in the study by Pakhomov et al (2020), which used the Fitbit ® (no model specifics provided) to detect HR at baseline and during exposure to stressors, it was found that the Fitbit ® is capable of detecting stressors, with HR increasing an average of nine beats per minute [ 22 ].…”

Section: Discussionmentioning

confidence: 99%

“…Further, in the study by Pakhomov et al (2020), which used the Fitbit ® (no model specifics provided) to detect HR at baseline and during exposure to stressors, it was found that the Fitbit ® is capable of detecting stressors, with HR increasing an average of nine beats per minute [ 22 ]. Whilst the findings by Lucas et al (2019) and Pakhomov et al (2020) suggest HR may be useful in detecting stress, both studies were limited by the young age of their subjects; thus, the impact of comorbidities on HR, and therefore stress detection, may not be reflective of the general population [ 20 , 22 ]. The study by van Kraajj et al (2020) supports this, using two separate wearables: an unspecified chest patch for HR measurement and a wristband (Chillband) for detecting activity, with the study reporting that there was a significant relationship between HR and the three-way interaction between chronic stress, gender, and circadian rhythm [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review

Hickey

Chalmers

Newton

et al. 2021

Sensors

140

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Recently, there has been an increase in the production of devices to monitor mental health and stress as means for expediting detection, and subsequent management of these conditions. The objective of this review is to identify and critically appraise the most recent smart devices and wearable technologies used to identify depression, anxiety, and stress, and the physiological process(es) linked to their detection. The MEDLINE, CINAHL, Cochrane Central, and PsycINFO databases were used to identify studies which utilised smart devices and wearable technologies to detect or monitor anxiety, depression, or stress. The included articles that assessed stress and anxiety unanimously used heart rate variability (HRV) parameters for detection of anxiety and stress, with the latter better detected by HRV and electroencephalogram (EGG) together. Electrodermal activity was used in recent studies, with high accuracy for stress detection; however, with questionable reliability. Depression was found to be largely detected using specific EEG signatures; however, devices detecting depression using EEG are not currently available on the market. This systematic review highlights that average heart rate used by many commercially available smart devices is not as accurate in the detection of stress and anxiety compared with heart rate variability, electrodermal activity, and possibly respiratory rate.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review

Hickey

Chalmers

Newton

et al. 2021

Sensors

140

View full text Add to dashboard Cite

show abstract

“…Concerning any form of reporting bias, most of the criteria were fulfilled and, weaknesses were found when verifying the description of withdrawals and dropouts in six studies [40,41,44,66,67,70]. Finally, the limitations assess-ment revealed that 16 out of the 38 studies [40][41][42]44,47,49,50,55,57,59,63,67,68,[71][72][73] did not describe the limitations and opportunities to improve their developed investigations.…”

Section: Risk Of Bias Assessment and Quality Of Resultsmentioning

confidence: 99%

Applicability of Physiological Monitoring Systems within Occupational Groups: A Systematic Review

Bustos

Guedes

Baptista

et al. 2021

Sensors

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The emergence of physiological monitoring technologies has produced exceptional opportunities for real-time collection and analysis of workers’ physiological information. To benefit from these safety and health prognostic opportunities, research efforts have explored the applicability of these devices to control workers’ wellbeing levels during occupational activities. A systematic review is proposed to summarise up-to-date progress in applying physiological monitoring systems for occupational groups. Adhering with the PRISMA Statement, five databases were searched from 2014 to 2021, and 12 keywords were combined, concluding with the selection of 38 articles. Sources of risk of bias were assessed regarding randomisation procedures, selective outcome reporting and generalisability of results. Assessment procedures involving non-invasive methods applied with health and safety-related goals were filtered. Working-age participants from homogeneous occupational groups were selected, with these groups primarily including firefighters and construction workers. Research objectives were mainly directed to assess heat stress and physiological workload demands. Heart rate related variables, thermal responses and motion tracking through accelerometry were the most common approaches. Overall, wearable sensors proved to be valid tools for assessing physiological status in working environments. Future research should focus on conducting sensor fusion assessments, engaging wearables in real-time evaluation methods and giving continuous feedback to workers and practitioners.

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“…The anticipatory effect is the result of the body’s non-specific response to stress, which, according to some studies, may differ by gender. For example, studies related to the continuous recording of HR in people performing their daily work duties (work-related stressor) indicated significantly higher mean and maximum HR in women [ 34 ]. These observations are consistent with animal studies, where acute stressors revealed different body responses to stress in females and males, which is associated with the activity of sex hormones released during the activation of the hypothalamic–pituitary–gonadal axis (HPG) [ 35 ].…”

Section: Discussionmentioning

confidence: 99%

Resting Heart Rate Affects Heart Response to Cold-Water Face Immersion Associated with Apnea

Malinowski

Wierzba

Neary

et al. 2023

Biology

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The regular cardiac response to immersion of the face in cold water is reduction in heart rate (HR). The highly individualized and unpredictable course of the cardiodepressive response prompted us to investigate the relationship between the cardiac response to face immersion and the resting HR. The research was conducted with 65 healthy volunteers (37 women and 28 men) with an average age of 21.13 years (20–27 years) and a BMI of 21.49 kg/m2 (16.60–28.98). The face-immersion test consisted of stopping breathing after maximum inhaling and voluntarily immersing the face in cold water (8–10 °C) for as long as possible. Measurements included determination of minimum, average, and maximum HR at rest and minimum and maximum HR during the cold-water face-immersion test. The results indicate a strong relationship between the cardiodepressive reaction of the immersion of the face and the minimum HR before the test, as well as a relationship between the maximum HR during the test and the maximum HR at rest. The results also indicate a strong influence of neurogenic HR regulation on the described relationships. The parameters of the basal HR can, therefore, be used as prognostic indicators of the course of the cardiac response of the immersion test.

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Sex differences in heart rate responses to occupational stress

Cited by 18 publications

References 51 publications

Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review

Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review

Applicability of Physiological Monitoring Systems within Occupational Groups: A Systematic Review

Resting Heart Rate Affects Heart Response to Cold-Water Face Immersion Associated with Apnea

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