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Introduction to Stress and Lifestyle01:27

Introduction to Stress and Lifestyle

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Stress is a multifaceted response to events perceived as challenging or threatening, highlighting physical, emotional, cognitive, and behavioral reactions. Physically, stress can lead to fatigue, sleep disruptions, and various health issues such as frequent colds, chest pains, and nausea. Emotionally, it can manifest as anxiety, depression, irritability, and anger triggered by both minor and major life events. Cognitively, it may result in difficulty in concentration, memory, and...
119
Stress Prevention and Stress Management Techniques III01:25

Stress Prevention and Stress Management Techniques III

65
Regular exercise and meditation serve as essential tools in managing stress and promoting physical and mental well-being.
The Role of Exercise in Stress Management
Regular physical activity is essential for reducing stress and promoting cardiovascular health. Exercise strengthens the heart, enhances blood flow, keeps blood vessels flexible, and helps lower blood pressure, all of which reduce the body's stress response. Research shows that adults who exercise regularly have nearly half the...
65
Psychological Responses to Stress01:20

Psychological Responses to Stress

56
Psychological responses to stress encompass the various cognitive and emotional reactions individuals experience when faced with challenging or threatening situations, such as a job loss. Prolonged exposure to stressors can disturb emotional balance, increasing negative emotions (e.g., anxiety and sadness) and diminishing positive emotions (e.g., joy and satisfaction). These persistent emotional shifts are associated with an increased risk of both physical illness and mental health issues, such...
56
Stress Prevention and Stress Management Techniques I01:26

Stress Prevention and Stress Management Techniques I

51
Stress prevention and management are crucial for maintaining well-being and building resilience. Techniques to manage stress include cultivating qualities like conscientiousness, a sense of personal control, and self-efficacy. Each of these traits significantly reduces stress and promotes healthier lifestyle choices and outcomes.
Conscientiousness
Conscientious individuals tend to be organized, responsible, and disciplined. They prioritize completing tasks and following structured routines,...
51
Stress Prevention and Stress Management Techniques V01:28

Stress Prevention and Stress Management Techniques V

33
A social support system is a structured network of personal relationships that provides assistance to individuals facing various challenges, offering a buffer against psychological and physical stressors. This network may consist of family members, friends, neighbors, colleagues, or other community members who provide resources and companionship. Social support can take many forms, including advice, emotional comfort, practical help, and companionship. Research indicates that these networks can...
33
Stress Prevention and Stress Management Techniques II01:23

Stress Prevention and Stress Management Techniques II

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Personality types, particularly Type A and Type B, significantly influence how individuals respond to stress. These personality distinctions are marked by varying levels of ambition, competitiveness, and coping styles, all of which shape an individual's resilience to stressors.
Type A Personality: Driven and Easily Stressed
Individuals with Type A personalities are often highly competitive and ambitious and operate with a strong sense of urgency. Commonly labeled as...
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Related Experiment Video

Updated: Jul 10, 2025

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
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Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

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Enhancing Diagnostic Decision-Making: Ensemble Learning Techniques for Reliable Stress Level Classification.

Raghav V Anand1, Abdul Quadir Md1, Shabana Urooj2

  • 1School of Computer Science and Engineering, Vellore Institute of Technology, Chennai 600127, India.

Diagnostics (Basel, Switzerland)
|November 24, 2023
PubMed
Summary
This summary is machine-generated.

Academic pressure causes student stress, impacting mental and physical health. This study introduces an ensemble learning model to accurately classify student stress levels using factors like sleep and study habits, achieving 93.48% accuracy.

Keywords:
academicboostingconventionalmetricsmitigatemodelperformancepractical analysisroutinestressstudentstension

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Area of Science:

  • Computer Science
  • Psychology
  • Education

Background:

  • Intense academic pressure leads to student stress, with potential adverse mental and physical effects.
  • The shift to online learning has increased student workloads and stress levels.
  • Students may exhibit stress through sleep deprivation and altered eating habits.

Purpose of the Study:

  • To propose a novel ensemble learning architecture for classifying student stress levels.
  • To identify key factors contributing to academic stress, including sleep, screen time, and study habits.
  • To develop an effective model for predicting and managing student academic stress.

Main Methods:

  • Collected survey data from students on sleep hours, productive time, screen time, assignments, and study methods.
  • Preprocessed data to categorize stress into 'highly stressed,' 'manageable stress,' and 'no stress.'
  • Employed oversampling for minority class imbalance and implemented ensemble learning algorithms (Decision Tree, Random Forest, AdaBoost, Gradient Boost).

Main Results:

  • The ensemble learning model achieved 93.48% accuracy and 93.14% F1 score.
  • Fivefold cross-validation yielded an accuracy of 93.45%.
  • Receiver Operating Characteristic (ROC) analysis showed 98% accuracy for 'no stress' and 91% true positive rate for 'manageable' and 'high stress' categories.

Conclusions:

  • The proposed ensemble learning approach with cross-validation accurately predicts student stress levels, outperforming state-of-the-art algorithms.
  • This model can help students identify areas for improvement and reduce academic stress.
  • The findings support the development of effective stress prediction tools to improve academic lifestyles.