Computational Analysis of the Effect of Islamic Spirituality on Heart Rate Response to Stress.

Background and Objectives: Stress is a significant contributor to various diseases, necessitating effective management strategies. This study aimed to investigate the potential role of Islamic spirituality, conceptualized as both long-term disposition ("being spiritual") and short-term practice ("en...

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Publicado en:Health, Spirituality & Medical Ethics Journal Vol. 13; no. 3; pp. 185 - 194
Autor principal: Kahalian, Narges
Formato: research tables/charts Journal Article
Publicado: Qom University of Medical Sciences Sep2026
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2026
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      pub: Qom University of Medical Sciences
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        10.32598/hsmej.13.3.1201.1
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        atl: Computational Analysis of the Effect of Islamic Spirituality on Heart Rate Response to Stress.
      aug:
        au: Kahalian, Narges
        affil: Department of Electrical, Computer and Medical Engineering, Faculty of Engineering, Shahabdanesh University, Qom, Iran
      sug:
        subj:
          Spirituality
          Heart Rate Physiology
          Islam
          Stress, Psychological
          Computer Simulation
          Human
          Female
          Adult
          Nonexperimental Studies
          Convenience Sample
          Iran
          One-Way Analysis of Variance
          Descriptive Statistics
          Repeated Measures
          Confidence Intervals
          Extreme Learning Machines
          Comparative Studies
          Adult: 19-44 years
          Female
      ab: Background and Objectives: Stress is a significant contributor to various diseases, necessitating effective management strategies. This study aimed to investigate the potential role of Islamic spirituality, conceptualized as both long-term disposition ("being spiritual") and short-term practice ("engaging in spiritual acts"), in modulating heart rate (HR) responses to stress. Methods: In this observational study, 24 female students (mean age = 28 years) were categorized using the Golzari religious belief commitment questionnaire. HR was recorded using a digital pulse oximeter during exposure to five standardized stress scenarios. For the short-term spirituality assessment, the experimental group performed Dhikr during recovery periods. HR signals were processed, and 20 features were extracted using a Daubechies-4 wavelet transform. Analysis of variance (ANOVA) was used for feature selection, and an extreme learning machine (ELM) classifier with a five-neuron hidden layer was employed for classification. Results: ELM classifier achieved 94.4% accuracy in distinguishing between high and low longterm spirituality groups based on HR responses. For short-term spirituality, it differentiated the Dhikr group from controls with 88.8% accuracy during recovery phases. Conclusion: Findings indicate that both facets of Islamic spirituality are associated with attenuated HR responses to stress, suggesting their potential role in mitigating physiological stress reactivity.
      pubtype: Academic Journal
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        tables/charts
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      ougenre: Article
    language: English
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