scholarly journals Quantification of stress and well-being using pulse, speech, and electrodermal data: Study concept and design

2020 ◽  
Author(s):  
Keisuke Izumi ◽  
Kazumichi Minato ◽  
Kiko Shiga ◽  
Tatsuki Sugio ◽  
Sayaka Hanashiro ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mental Disorders ◽  
Electrodermal Activity ◽  
Japanese Version ◽  
Well Being ◽  
Biological Data ◽  
Satisfaction With Life Scale ◽  
List Type ◽  
Study Results ◽  
The Relationship

ABSTRACTIntroductionMental disorders are a leading cause of disability worldwide and, among mental disorders, major depressive disorder was highly ranked in years lived with disability. Depression has a significant impact in the field of occupational health because it is particularly prevalent during working age. On the other hand, there are a growing number of studies on the relationship between “well-being” and employee productivity. To promote healthy and productive workplaces, this study aims to develop a technique to quantify stress and well-being in a way that does not disturb the workplace.Methods and analysisThis is a single-arm prospective observational study. The target population is adult (>20 years old) workers at companies that often engage in desk work; specifically, a person who sits in front of a computer for at least half their work hours. The following data will be collected: a) participants’ background characteristics; b) participants’ biological data during the 4-week observation period using sensing devices such as a camera built into or connected to the computer (pulse wave data extracted from the facial video images), a microphone built into or connected to their work computer (voice data), and a wristband-type wearable device (electrodermal activity data, body motion data, and body temperature); c) stress, well-being, and depression rating scale assessment data (New Occupational Stress Questionnaire, Perceived Stress Scale, Satisfaction With Life Scale, Japanese version of Positive and Negative Affect Schedule, Japanese Flourishing Scale, Subjective Well-being / Ideal Happiness, and Japanese version of Patient Health Questionnaire-9). The analysis workflow is as follows: (1) primary analysis, comprised of using software to digitalize participants’ vital information; (2) secondary analysis, comprised of examining the relationship between the quantified vital data from (1), stress, well-being, and depression; (3) tertiary analysis, comprised of generating machine learning algorithms to estimate stress, well-being, and degree of depression in relation to each set of vital data as well as multimodal vital data.Ethics and disseminationCollected data and study results will be disseminated widely through conference presentations, journal publications, and/or mass media. The summarized results of our overall analysis will be supplied to participants.RegistrationUMIN000036814STRENGTHS AND LIMITATIONS OF THIS STUDYThis study evaluates stress and well-being using biomarkers such as heart rate, acoustic characteristics, and electrodermal activity.This study measures biomarkers over a long-term four-week period.This study will lead to the development of a machine learning algorithm to determine people’s optimal levels of stress and well-being.This is a government-funded study in which many different companies and institutions collaborated for a common purpose.There is a possibility that the algorithm’s prediction accuracy level may decrease when it is applied to demographic groups other than those studied here.

scholarly journals Unobtrusive Sensing Technology for Quantifying Stress and Well-Being Using Pulse, Speech, Body Motion, and Electrodermal Data in a Workplace Setting: Study Concept and Design

2021 ◽  
Vol 12 ◽  
Author(s):  
Keisuke Izumi ◽  
Kazumichi Minato ◽  
Kiko Shiga ◽  
Tatsuki Sugio ◽  
Sayaka Hanashiro ◽  
...  
Keyword(s):  
Machine Learning ◽  
Rating Scale ◽  
Learning Algorithm ◽  
Electrodermal Activity ◽  
Well Being ◽  
Biological Data ◽  
Machine Learning Algorithms ◽  
Body Motion ◽  
Study Results ◽  
The Relationship

Introduction: Mental disorders are a leading cause of disability worldwide. Depression has a significant impact in the field of occupational health because it is particularly prevalent during working age. On the other hand, there are a growing number of studies on the relationship between “well-being” and employee productivity. To promote healthy and productive workplaces, this study aims to develop a technique to quantify stress and well-being in a way that does not disturb the workplace.Methods and analysis: This is a single-arm prospective observational study. The target population is adult (>20 years old) workers at companies that often engage in desk work; specifically, a person who sits in front of a computer for at least half their work hours. The following data will be collected: (a) participants' background characteristics; (b) participants' biological data during the 4-week observation period using sensing devices such as a camera built into the computer (pulse wave data extracted from the facial video images), a microphone built into their work computer (voice data), and a wristband-type wearable device (electrodermal activity data, body motion data, and body temperature); (c) stress, well-being, and depression rating scale assessment data. The analysis workflow is as follows: (1) primary analysis, comprised of using software to digitalize participants' vital information; (2) secondary analysis, comprised of examining the relationship between the quantified vital data from (1), stress, well-being, and depression; (3) tertiary analysis, comprised of generating machine learning algorithms to estimate stress, well-being, and degree of depression in relation to each set of vital data as well as multimodal vital data.Discussion: This study will evaluate digital phenotype regarding stress and well-being of white-collar workers over a 4-week period using persistently obtainable biomarkers such as heart rate, acoustic characteristics, body motion, and electrodermal activity. Eventually, this study will lead to the development of a machine learning algorithm to determine people's optimal levels of stress and well-being.Ethics and dissemination: Collected data and study results will be disseminated widely through conference presentations, journal publications, and/or mass media. The summarized results of our overall analysis will be supplied to participants.Registration: UMIN000036814

Organizational Justice enhances Subjective Well-being

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Ms. Anjali Sahai ◽  
Prof. (Dr). Abha Singh
Keyword(s):  
Organizational Justice ◽  
Satisfaction With Life ◽  
Interactional Justice ◽  
Well Being ◽  
Adverse Outcomes ◽  
Satisfaction With Life Scale ◽  
Subjective Well Being ◽  
Negative Experience ◽  
Life Scale ◽  
The Relationship

Organizational Justice has the potential to create major impact on organizations and employees alike. These include greater commitment, trust, enhanced job performance, more citizenship behaviors and less number of conflicts. It has been reported that employees seem to have a universal concern for Justice that transcends the self and that many are subject to biases at various point of time in their work life. Sometimes these biases lead to adverse outcomes including decreased level of subjective well-being. Subjective well-being is a broad category that includes life satisfaction, positive affect, and low negative affect, such as anger, sadness and fear. Thus to study the relationship between Organizational justice and subjective well-being, a sample of 88 employees working in Private Universities of NCR region were examined. For this purpose, the Organizational Justice scales consisting of Measure of Procedural & Interactional Justice and Distributive Justice Index scale by Moorman, Blakely & Niehoff (1998) and Subjective Wellbeing Scales inclusive of the Satisfaction with Life Scale(SWLS),Scale of Positive and Negative Experience(SPANE) and Flourishing Scale (FS) by Ed Diener (2004)were used. Results indicate significant relationship between the three types of Organizational justice and subjective well-being of employees.

Acculturative stress and life satisfaction of Chinese rural-to-urban migrants

2020 ◽  
Vol 48 (11) ◽  
pp. 1-11
Author(s):  
Dekuo Liang ◽  
Lei Wang ◽  
Liying Xia ◽  
Dawei Xu
Keyword(s):  
Social Support ◽  
Life Satisfaction ◽  
Acculturative Stress ◽  
Perceived Social Support ◽  
Well Being ◽  
Self Esteem ◽  
Construction Sites ◽  
Urban Migrants ◽  
Study Results ◽  
The Relationship

Little is known regarding the life satisfaction of rural-to-urban migrants in China. In this study we assessed whether self-esteem and perceived social support mediated the association between rural-to-urban migrants' acculturative stress and life satisfaction. We use convenience sampling to recruit 712 migrants who were employed at construction sites in Nanjing for the study. Results reveal that acculturative stress was negatively related to self-esteem, perceived social support, and life satisfaction; self-esteem was positively associated with perceived social support and life satisfaction; and perceived social support was a significant and positive predictor of life satisfaction. In addition, we found that self-esteem and perceived social support partially mediated the relationship between acculturative stress and life satisfaction. Our findings provide a better understanding of life satisfaction over the course of migration, and add to knowledge of psychological well-being and mental health among rural-to-urban migrants in China.

scholarly journals Early Education Care from Its Practitioners to Achieve Sustainability

2021 ◽  
Vol 13 (6) ◽  
pp. 3396
Author(s):  
Óscar Gavín-Chocano ◽  
David Molero ◽  
Inmaculada García-Martínez
Keyword(s):  
Early Intervention ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Satisfaction With Life ◽  
Well Being ◽  
Satisfaction With Life Scale ◽  
Life Scale ◽  
Fit Index ◽  
The Relationship ◽  
Early Intervention Professionals

(1) Background: Early intervention professionals are involved in the reconceptualisation of their service due to the exceptional situation caused by the COVID-19 epidemic, within the family context and aware of the children’s needs, with an impact on their emotional well-being to ensure sustainability. An analysis of their socio–emotional profile and training is increasingly needed to face their professional development effectively; (2) Methods: In this study, 209 early intervention professionals participated (n = 209), with an average age of 37.62 (±9.02). The following instruments were used: Satisfaction with Life Scale (SWLS), Wong Law Emotional Intelligence Scale (WLEIS-S) and the Utrecht Work Engagement Scale (UWES-9). The purpose of the study was to examine the relationship between early intervention (EI) and engagement as predictors of greater life satisfaction using Structural Equation Modelling (SEM). (3) Results: There exists a relationship between some dimensions of the instruments used (p < 0.01). The model obtained good structural validity (χ² = 3.264; Root Mean Square Error of Approximation (RMSEA) =.021; Goodness-of-Fit Index (GFI) = 0.991; Comparative Goodness of Fit Index (CFI) = 0.999; Incremental Fit Index (IFI) = 0.999). Subsequently, the results described above were verified through Bayesian statistics, thereby reinforcing the evidence provided; (4) Conclusions: Findings highlight the importance of providing professionals with emotional tools and strategies, from the educational context, in order to carry out their activity effectively and ensure the sustainability within the current situation, while remaining fully engaged.

scholarly journals The relationship between emotion regulation and well-being in patients with mental disorders: A meta-analysis

2020 ◽  
Vol 102 ◽  
pp. 152189
Author(s):  
Jannis T. Kraiss ◽  
Peter M. ten Klooster ◽  
Judith T. Moskowitz ◽  
Ernst T. Bohlmeijer
Keyword(s):  
Emotion Regulation ◽  
Mental Disorders ◽  
Meta Analysis ◽  
Well Being ◽  
The Relationship

scholarly journals Religious/Spiritual Struggles and Life Satisfaction among Young Roman Catholics: The Mediating Role of Gratitude

Religions ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 395 ◽  
Author(s):  
Małgorzata Szcześniak ◽  
Grażyna Bielecka ◽  
Iga Bajkowska ◽  
Anna Czaprowska ◽  
Daria Madej
Keyword(s):  
Life Satisfaction ◽  
Social Interactions ◽  
Satisfaction With Life ◽  
Well Being ◽  
Satisfaction With Life Scale ◽  
Four Dimensions ◽  
Dispositional Gratitude ◽  
Spiritual Struggles ◽  
The Relationship ◽  
Roman Catholics

An extensive review of the psychological literature shows that interactions between religious/spiritual (R/S) struggles and other aspects of human functioning are complex and affected by “third” factors. Still, we have only a few studies that confirm R/S struggles as a source of well-being and indicate the ways in which it happens. In the present study, we aimed to verify whether the relationship between R/S struggles and life satisfaction was mediated by dispositional gratitude that seems to offer protection in times of adversity and turmoil. The sample consisted of 440 Roman Catholics (331 women) from Poland aged between 18 and 40. We applied the Religious Comfort and Strain Scale, the Satisfaction with Life Scale, and the Gratitude Questionnaire. In line with our hypotheses, it was confirmed that respondents with higher life satisfaction were more likely to display a higher sense of trust in God. They also declared a lower fear/guilt and perception of God as abandoning people. Gratitude correlated positively and significantly with religious comfort, and negatively with emotions towards God and social interactions surrounding religion. Moreover, it can be affirmed that dispositional gratitude mediated the relationship between three of four dimensions of religious strain and life satisfaction: religious comfort, negative emotions towards God, and negative social interactions surrounding religion.

scholarly journals Trends in Heart-Rate Variability Signal Analysis

2021 ◽  
Vol 3 ◽  
Author(s):  
Syem Ishaque ◽  
Naimul Khan ◽  
Sri Krishnan
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Electrodermal Activity ◽  
Well Being ◽  
Good Health ◽  
Machine Learning Techniques ◽  
Video Gaming ◽  
Clinical Events ◽  
Learning Techniques

Heart rate variability (HRV) is the rate of variability between each heartbeat with respect to time. It is used to analyse the Autonomic Nervous System (ANS), a control system used to modulate the body's unconscious action such as cardiac function, respiration, digestion, blood pressure, urination, and dilation/constriction of the pupil. This review article presents a summary and analysis of various research works that analyzed HRV associated with morbidity, pain, drowsiness, stress and exercise through signal processing and machine learning methods. The points of emphasis with regards to HRV research as well as the gaps associated with processes which can be improved to enhance the quality of the research have been discussed meticulously. Restricting the physiological signals to Electrocardiogram (ECG), Electrodermal activity (EDA), photoplethysmography (PPG), and respiration (RESP) analysis resulted in 25 articles which examined the cause and effect of increased/reduced HRV. Reduced HRV was generally associated with increased morbidity and stress. High HRV normally indicated good health, and in some instances, it could signify clinical events of interest such as drowsiness. Effective analysis of HRV during ambulatory and motion situations such as exercise, video gaming, and driving could have a significant impact toward improving social well-being. Detection of HRV in motion is far from perfect, situations involving exercise or driving reported accuracy as high as 85% and as low as 59%. HRV detection in motion can be improved further by harnessing the advancements in machine learning techniques.

Mediating role of optimism in the relationship between self-compassion and subjective well-being

2021 ◽  
Vol 18 (2) ◽  
pp. 185-198
Author(s):  
Zeynep Akkuş Çutuk
Keyword(s):  
Structural Equation ◽  
Satisfaction With Life ◽  
Well Being ◽  
Equation Model ◽  
Satisfaction With Life Scale ◽  
Subjective Well Being ◽  
Mediating Role ◽  
Self Compassion ◽  
Package Program ◽  
The Relationship

In this study, whether optimism has a mediating role in the relationship between self-compassion and subjective well-being was examined. The sample of the study consisted of 302 volunteer participants (117 [38.74%] males) between the ages of 18 and 47. Data were obtained using the Self-Compassion Scale (SCS), Satisfaction with Life Scale (SWLS), Positive and Negative Affect Scale (PANAS), and Optimism Scale (OS). The data obtained from the scales were analyzed with the Structural Equation Model using IBM SPSS Amos 22.00 statistical package program. According to the findings of the study, optimism plays a partial mediating role in the relationship between self-compassion and subjective well-being. Consequently, self- compassion affects optimism, and this effect may increase subjective well-being.

scholarly journals Subjective and psychological well-being of students of a University of the Third Age: Benefits of continuing education for psychological adjustment in the elderly

2011 ◽  
Vol 5 (3) ◽  
pp. 216-225 ◽  
Author(s):  
Tiago Nascimento Ordonez ◽  
Thaís Bento Lima-Silva ◽  
Meire Cachioni
Keyword(s):  
Continuing Education ◽  
Psychological Adjustment ◽  
Satisfaction With Life ◽  
Well Being ◽  
Satisfaction With Life Scale ◽  
Psychological Well Being ◽  
Third Age ◽  
Positive Effects ◽  
The Third ◽  
Study Results

Abstract Objectives: The present study sought to characterize the degree of general satisfaction with life and degree of satisfaction on four domains: health, physical capacity, mental capacity and social involvement, and to determine the characteristics of self-reports of individuals enrolled on the program in relation to their psychological well-being focusing on the dimensions: autonomy, personal growth, control, positive relationships with others, purpose, personal acceptance and generativity, and to analyse the effect of time studying on level of well-being. Method: A total of 140 elderly students of a University for the Third Age took part in the study. The Global Satisfaction With Life Scale and the Self Development Scale (with six psychological well-being subscales) were applied. Continuous variables for the two groups were compared using the Mann-Whitney test. Spearman's correlation coefficient was used to analyze the relationship among numeric variables. Internal consistency of the instrument scales was analysed by calculating Cronbach's alpha coefficient. Results: Results showed that students who had attended the University of the Third Age for six months or longer had a higher level of satisfaction with life and greater psychological adjustment compared with new entrants to the same institution. Conclusion: The study results confirmed the positive effects of continuing education on the well-being of elderly and its contribution to successful aging.

scholarly journals Association between personal values in adolescence and impaired bonding relationship with children

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Erika Obikane ◽  
Kazuhiro Watanabe ◽  
Daisuke Nishi ◽  
Norito Kawakami
Keyword(s):  
Personal Values ◽  
Japanese Version ◽  
Well Being ◽  
Relationship Commitment ◽  
Cross Sectional ◽  
Negatively Associated ◽  
Community Representative ◽  
Adult Participants ◽  
Value Priorities ◽  
The Relationship

Abstract Background Bonding disorders happen as parents cannot build an affective relationship with children and are associated with their psychological and social conditions. Personal values impact well-being and psychological outcomes; however, how personal values influence bonding relationships is unknown. The purpose of the study was to investigate the relationship between personal values in adolescence recalled by adult participants and impaired bonding using a community-representative database. Methods We conducted a retrospective study using cross-sectional data of adults living with children in Japan. Personal values were evaluated by value priorities measured by 11 items from Personal Value Questionnaires, and commitment to values measured by a Japanese version of the Personal Values Questionnaires II. Impaired bonding was evaluated by five items from a Japanese-version of the Mother-to-Infant Bonding Scale. Odds ratios of value priorities and commitment to values for impaired bonding relationships were calculated after adjusting covariates. Results Of 13,920 people selected by probability proportionate sampling, 466 participants with children under 6 years old were selected for analysis. Personal values on improving society, graduating from school, positive evaluation from others, and pursuing one’s interest were negatively associated with impaired bonding relationship, while personal values on financial success were positively associated with impaired bonding relationship. Commitment to values were negatively associated with bonding problems. Conclusions While a future longitudinal study is needed, the present findings may indicate that personal values in adolescence are associated with their bonding relationship with children.

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