Cardiovascular load assessment in the workplace: A systematic review

Dias, Mariana; Silva, Luís; Folgado, Duarte; Nunes, Maria Lua; Cepeda, Cátia; Cheetham, Marcus; Gambôa, Hugo

doi:10.1016/j.ergon.2023.103476

Cited by 13 publications

(5 citation statements)

References 127 publications

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“…These include standard deviation of the RR intervals (SDRRi), square root of the mean sum of the square differences between RR intervals (RMSSD) [31], and SD1 and SD2, extracted from the Poincaré plot (plot of the current RR intervals against the previous ones) [32]. Moreover, the cardiovascular load indicators were extracted from these signals, based on reserve HR (maximum HR-resting HR) including RHR, cardiovascular strain (CVS), and cardiovascular load (CVL), since they have already been used to evaluate the cardiovascular response in the occupational context [33].…”

Section: Signal Processing 251 Electrocardiographymentioning

confidence: 99%

Cardiorespiratory Response to Workload Volume and Ergonomic Risk: Automotive Assembly Line Operators’ Adaptations

Furk,

Silva,

Dias

et al. 2024

Applied Sciences

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Repetitive tasks can lead to long-term cardiovascular problems due to continuous strain and inadequate recovery. The automobile operators on the assembly line are exposed to these risks when workload volume changes according to the workstation type. However, the current ergonomic assessments focus primarily on observational and, in some cases, biomechanical methods that are subjective and time-consuming, overlooking cardiorespiratory adaptations. This study aimed to analyze the cardiorespiratory response to distinct workload volumes and ergonomic risk (ER) scores for an automotive assembly line. Sixteen male operators (age = 38 ± 8 years; BMI = 25 ± 3 kg·m2) volunteered from three workstations (H1, H2, and H3) with specific work cycle duration (1, 3, and 5 min respectively). Electrocardiogram (ECG), respiratory inductance plethysmography (RIP), and accelerometer (ACC) data were collected during their shift. The results showed significant differences from the first to the last 10 min, where H3 had its SDRRi reduced (p = 0.014), H1’s phase synchrony and H2’s coordination between thoracic and abdominal movements decreased (p < 0.001, p = 0.039). In terms of ergonomic risk, the moderate-high rank showed a reduction in SDRRi (p = 0.037) and moderate-risk activities had diminished phase synchrony (p = 0.018) and correlation (p = 0.004). Thus, the explored parameters could have the potential to develop personalized workplace adaptation and risk assessment systems.

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Section: Signal Processing 251 Electrocardiographymentioning

confidence: 99%

Cardiorespiratory Response to Workload Volume and Ergonomic Risk: Automotive Assembly Line Operators’ Adaptations

Furk,

Silva,

Dias

et al. 2024

Applied Sciences

Self Cite

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show abstract

“…Muscle cells begin to break down glucose into energy through anaerobic pathways, which produce lactic acid as a byproduct (Ma, 2023). As the intensity of physical activity increases, as well as the influence of environmental factors such as noise in the workplace, and the influence of individual factors such as blood glucose levels and BMI, the body produces more lactic acid to meet energy needs when physical load also increases (Dias et al, 2023). The increase in lactic acid production will further trigger the sensation of muscle fatigue and discomfort, so lactic acid is often considered an important indicator of work fatigue (Tornero-Aguilera et al, 2022).…”

Section: Lactic Acid Level Measurementmentioning

confidence: 99%

Effect of Noise, Blood Glucose, and Body Mass Index on Lactate Levels in Textile Industry Workers

Sumardiyono,

Chahyadhi,

Suratna

et al. 2023

jppipa, pendidikan ipa, fisika, biologi, kimia

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Occupational fatigue remains a prevalent concern in occupational health. This study investigated the association between noise intensity, blood glucose levels, body mass index (BMI), and lactate levels as an indicator of occupational fatigue among textile industry workers in Surakarta, Indonesia. An analytical observational study with a cross-sectional design was conducted, with 82 participants recruited from a local textile industry. Multivariate analysis using multiple binary logistic regression revealed that noise intensity, blood glucose levels, and BMI were significant risk factors for occupational fatigue, as indicated by elevated lactate levels. These findings highlight the importance of noise reduction measures, a healthy lifestyle, and regular monitoring of blood glucose levels and BMI to mitigate occupational fatigue among textile industry workers

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“…Berdasarkan latar belakang tersebut, penelitian ini bertujuan untuk mengukur beban kerja pada driver Gojek di Kelurahan Lidah Kulon menggunakan metode Cardiovascular Load (CVL) dan Subjective Workload Assessment Technique (SWAT). Metode Cardiovascular Load (CVL) merupakan metode analisis beban kerja fisik yang mebandingkan denyut nadi maksimal dengan denyut nadi kerja [4]; [5]; [6]. Denyut nadi adalah salah satu variabel fisiologis yang penting dalam menggambarkan keadaan tubuh manusia baik dalam keadaan statis (diam) maupun dinamis (bergerak).…”

Section: Pendahuluanunclassified

Penggunaan Pendekatan Cardiovascular Load (CVL) dan Subjective Workload Assessment Technique (SWAT) Dalam Menganalisis Beban Kerja Driver Online

Semnasti,

Semnasti

2023

waluyojatmiko

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Pekerjaan sebagai driver ojek online memang memiliki beban kerja yang cukup besar, baik dari segi aktivitas fisik maupun mental. Tujuan dari penelitian ini yaitu untuk mengetahui beban kerja fisik dan mental para driver ojek online sehingga dapat memahami kondisi pekerjaan di sektor layanan transportasi berbasis aplikasi. Penelitin ini menggunakan pendekatan kuantitatif. Populasi penelitian merupakan driver ojek online pada aplikasi Gojek sebanyak 26 responden. Beban kerja fisik & mental diukur dengan menggunakan metode Cardiovascular Load (CVL) dan Subjective Workload Assessment Technique (SWAT). Hasil penelitian menunjukkan bahwa indikator yang mempengaruhi beban kerja fisik pada driver ojek online adalah indikator time load dengan prosentase sebesar 64,43 %, yang artinya para driver ojek online pada aplikasi Gojek secara signifikan merasakan beban waktu lebih dominan dalam mempengaruhi pekerjaannya.

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Cardiovascular load assessment in the workplace: A systematic review

Cited by 13 publications

References 127 publications

Cardiorespiratory Response to Workload Volume and Ergonomic Risk: Automotive Assembly Line Operators’ Adaptations

Cardiorespiratory Response to Workload Volume and Ergonomic Risk: Automotive Assembly Line Operators’ Adaptations

Effect of Noise, Blood Glucose, and Body Mass Index on Lactate Levels in Textile Industry Workers

Penggunaan Pendekatan Cardiovascular Load (CVL) dan Subjective Workload Assessment Technique (SWAT) Dalam Menganalisis Beban Kerja Driver Online

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