Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach | Paper Citation Record

Observation 06a6bf59-8b3f-430e-8816-6e01a808b03c · outbound

This paper cites Mental Health of College Students and Their Non–College-Attending Peers: Results From the National Epidemiologic Study on Alcohol and Related Conditions,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Mental Health of College Students and Their Non–College-Attending Peers: Results From the National Epidemiologic Study on Alcohol and Related Conditions,

Reference 1

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Observation a8fde163-c1ed-49c4-b443-4073a55d1cfd · outbound

This paper cites The impact of stress on students in secondary school and higher education,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The impact of stress on students in secondary school and higher education,

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-07T15:14:38.295903Z

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This paper cites College life is stressful today – Emerging stressors and depressive symptoms in college students,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach College life is stressful today – Emerging stressors and depressive symptoms in college students,

Reference 3

Resolution: verified exact; raw_fallback, observed 2026-08-07T15:14:38.121739Z

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This paper cites Predictors of Stress in College Students,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Predictors of Stress in College Students,

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-07T15:14:37.935779Z

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This paper cites American College Health Association-National College Health Assessment II: Reference Group Executive Summary Spring 2019,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach American College Health Association-National College Health Assessment II: Reference Group Executive Summary Spring 2019,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:39.241611Z

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This paper cites American College Health Association-National College Health Assessment II: Reference Group Executive Summary Fall 2020,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach American College Health Association-National College Health Assessment II: Reference Group Executive Summary Fall 2020,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:39.134972Z

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This paper cites Mental stress and human cardiovascular disease,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Mental stress and human cardiovascular disease,

Reference 7

Resolution: verified exact; doi, observed 2026-08-07T15:14:37.476360Z

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This paper cites Exploring the impact of depression, anxiety, stress, academic engagement, and dropout intention on medical students’ academic performance: A prospective study,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Exploring the impact of depression, anxiety, stress, academic engagement, and dropout intention on medical students’ academic performance: A prospective study,

Reference 8

Resolution: verified exact; doi, observed 2026-08-07T15:14:37.324090Z

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This paper cites Posttraumatic Stress Disorder: Overview of Evidence-Based Assessment and Treatment,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Posttraumatic Stress Disorder: Overview of Evidence-Based Assessment and Treatment,

Reference 9

Resolution: verified exact; doi, observed 2026-08-07T15:14:37.229969Z

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This paper cites Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review,

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T15:14:37.095519Z

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This paper cites The effects of health coaching on adult patients with chronic diseases: A systematic review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The effects of health coaching on adult patients with chronic diseases: A systematic review,

Reference 11

Resolution: verified exact; doi, observed 2026-08-07T15:14:36.929492Z

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This paper cites Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Mobile Apps for Health Behavior Change in Physical Activity, Diet, Drug and Alcohol Use, and Mental Health: Systematic Review,

Reference 12

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This paper cites Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review,

Reference 13

Resolution: malformed identifier; doi_truncated, observed 2026-08-07T15:14:36.810199Z

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This paper cites The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:32.904301Z

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This paper cites The Effect of Mindfulness-Based Therapy on Anxiety and Depression: A Meta-Analytic Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The Effect of Mindfulness-Based Therapy on Anxiety and Depression: A Meta-Analytic Review,

Reference 15

Resolution: verified exact; doi, observed 2026-08-07T15:14:36.664058Z

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This paper cites Wearables for Stress Management: A Scoping Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Wearables for Stress Management: A Scoping Review,

Reference 16

Resolution: verified exact; doi, observed 2026-08-07T15:14:36.532096Z

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Observation ea0556b8-8e29-4eed-be8a-56a68d01a4c0 · outbound

This paper cites Digital Mental Health Interventions for University Students With Mental Health Difficulties: A Systematic Review and Meta‐Analysis,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Digital Mental Health Interventions for University Students With Mental Health Difficulties: A Systematic Review and Meta‐Analysis,

Reference 17

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This paper cites Digital interventions to address mental health needs in colleges: Perspectives of student stakeholders,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Digital interventions to address mental health needs in colleges: Perspectives of student stakeholders,

Reference 19

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This paper cites Written emotional expression: Effect sizes, outcome types, and moderating variables,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Written emotional expression: Effect sizes, outcome types, and moderating variables,

Reference 20

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This paper cites How Breath-Control Can Change Your Life: A Systematic Review on Psycho- Physiological Correlates of Slow Breathing,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach How Breath-Control Can Change Your Life: A Systematic Review on Psycho- Physiological Correlates of Slow Breathing,

Reference 21

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This paper cites Empower Psychotherapy with mHealth Apps: The Design of ‘Safer’, an Emotion Regulation Application,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Empower Psychotherapy with mHealth Apps: The Design of ‘Safer’, an Emotion Regulation Application,

Reference 22

Resolution: verified exact; doi, observed 2026-08-07T15:14:36.257530Z

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This paper cites Evaluating the Reproducibility of Physiological Stress Detection Models,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Evaluating the Reproducibility of Physiological Stress Detection Models,

Reference 23

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This paper cites Analyzing physiological responses to quantify anxiety disorders: A scoping review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Analyzing physiological responses to quantify anxiety disorders: A scoping review,

Reference 24

Resolution: verified exact; doi, observed 2026-08-07T15:14:36.094298Z

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This paper cites Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review,

Reference 25

Resolution: verified exact; doi, observed 2026-08-07T15:14:35.933957Z

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This paper cites G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences,

Reference 26

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This paper cites Men’s Dropout From Mental Health Services: Results From a Survey of Australian Men Across the Life Span,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Men’s Dropout From Mental Health Services: Results From a Survey of Australian Men Across the Life Span,

Reference 27

Resolution: verified exact; doi, observed 2026-08-07T15:14:35.827303Z

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This paper cites A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7,

Reference 28

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Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The PHQ-8 as a measure of current depression in the general population,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:33.777962Z

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Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Review of the Psychometric Evidence of the Perceived Stress Scale,

Reference 30

Resolution: verified exact; doi, observed 2026-08-07T15:14:35.653786Z

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correction dated 2013-08-27. Source: crossref record 10.1016/j.anr.2013.08.001->10.1016/j.anr.2012.08.004:correction, observed 2026-07-11T03:17:55.622759+00:00. This notice travels one citation hop only.

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This paper cites Studying heart rate behavior and rhythm using trend analysis methods among university students.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Studying heart rate behavior and rhythm using trend analysis methods among university students

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:39.008023Z

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This paper cites Posttraumatic stress disorder hyperarousal event detection using smartwatch physiological and activity data,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Posttraumatic stress disorder hyperarousal event detection using smartwatch physiological and activity data,

Reference 32

Resolution: verified exact; doi, observed 2026-08-07T15:14:35.442531Z

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This paper cites Understanding Heart Rate Reactions to Post-Traumatic Stress Disorder (PTSD) Among Veterans: A Naturalistic Study,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Understanding Heart Rate Reactions to Post-Traumatic Stress Disorder (PTSD) Among Veterans: A Naturalistic Study,

Reference 33

Resolution: verified exact; doi, observed 2026-08-07T15:14:35.162730Z

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Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Generalized Linear Models,

Reference 34

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Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Unresolved cited work

Reference 35

Resolution: verified exact; doi, observed 2026-08-07T15:14:35.047335Z

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Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The BOBYQA algorithm for bound constrained optimization without derivatives,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:38.891170Z

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Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Bates et al., lme4: Linear Mixed-Effects Models using “Eigen” and S4

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:38.748018Z

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This paper cites Cross-cultural adaptation and validation of the Danish consensus version of the 10-item Perceived Stress Scale,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Cross-cultural adaptation and validation of the Danish consensus version of the 10-item Perceived Stress Scale,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:38.581225Z

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This paper cites Sensitivity to change and minimal clinically important difference of the 7-item Generalized Anxiety Disorder Questionnaire (GAD-7),.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Sensitivity to change and minimal clinically important difference of the 7-item Generalized Anxiety Disorder Questionnaire (GAD-7),

Reference 39

Resolution: verified exact; doi, observed 2026-08-07T15:14:34.909604Z

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This paper cites The Reach, Effectiveness, Adoption, Implementation, and Maintenance of Digital Mental Health Interventions for College Students: A Systematic Review,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The Reach, Effectiveness, Adoption, Implementation, and Maintenance of Digital Mental Health Interventions for College Students: A Systematic Review,

Reference 40

Resolution: verified exact; doi, observed 2026-08-07T15:14:36.378946Z

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This paper cites Is there a better telehealth platform for your practice?,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach Is there a better telehealth platform for your practice?,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:14:38.462219Z

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This paper cites How sample size influences research outcomes,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach How sample size influences research outcomes,

Reference 42

Resolution: verified exact; doi, observed 2026-08-07T15:14:34.751501Z

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This paper cites The relationship between social desirability bias and self-reports of health, substance use, and social network factors among urban substance users in Baltimore, Maryland,.

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach The relationship between social desirability bias and self-reports of health, substance use, and social network factors among urban substance users in Baltimore, Maryland,

Reference 43

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