Indicators Of Subjective Well-being Research Articles

Educational staff subjective well-being in war conditions

Introduction. The war is a significant factor in reducing the well-being of the staff of educational organizations. Hence, the study of subjective well-being of the staff of educational organizations seems quite relevant. Aim. To investigate the level of educational staff subjective well-being in war conditions and its relationship with staff's socio-demographic, organizational and professional characteristics as well as place of living. Methods. The Modified BBC Subjective Well-being Scale (BBC-SWB) (P. Pontin, M. Schwannauer, S. Tai & M. Kinderman, 2013; adaptation by L. Karamushka, K. Tereshchenko, O. Kredentser, 2022); passport questionnaire. Results. Educational staff's subjective well-being was at a middle level (moderate). Among the subjective well-being components, "physical health and well-being" was lower than "psychological well-being" and "well-being in relationships". There was a statistically significant relationship between the educational staff subjective well-being and staff’s socio-demographic characteristics (age, having children, marital status, position). The higher the educational staff's position, the higher was staff's "psychological well-being" indicator of subjective well-being (at the level of a trend). Conclusions. The obtained data indicate that socio-demographic factors have a greater influence on the subjective well-being of educational staff than staff's organizational and professional factors and place of living during the war.

Analysis of Psychological Well-Being from a Compositional Data Analysis Perspective: A New Approach.

Well-being is a widely studied construct in psychology. In 1989, Carol Ryff proposed the "Scale of Psychological Well-Being (SPWB)", which has been validated in multiple languages. The instrument assesses six dimensions of psychological well-being: Self-acceptance, Positive Relationships with Others, Autonomy, Environmental Mastery, Purpose in Life, and Personal Growth. In this article, we propose to enrich the traditional approach of directly interpreting the raw scores in each dimension by incorporating Compositional Data Analysis. This new approach aims to identify "what proportion" of each dimension constitutes well-being, which will allow us to analyze the interactions between the different dimensions of well-being and balance among them. To achieve this, we introduce two position ratios (PR1 and PR2) and a general adjustment indicator called the General Indicator of Subjective Psychological Well-Being (GISPW), which characterizes individuals in a compositional manner, providing a fresh perspective in the interpretation of psychological test results, specifically those related to PWB. The proposal is illustrated with three cases taken from a study involving 628 university students who completed the psychological well-being scale questionnaire. The results show that the GISPW, PR1, and PR2 obtained offer relevant information about the overall balance of each case in the different dimensions.

Is life brighter when your phone is not? The efficacy of a grayscale smartphone intervention addressing digital well-being

In response to the growing public concern about digital well-being, many tools have been developed for individuals to reduce their screen time. An understudied but promising self-nudge intervention is turning off smartphone screen colors (i.e., grayscaling). Since a grayscale setting is available on all smartphones, it has the potential to be an easily implemented intervention. The main aim of the current study was to assess the efficacy of a grayscale intervention by addressing its effects on both objective smartphone behavior as well as on daily subjective indicators of digital well-being. Participants’ smartphone use was tracked for 2 weeks ( N = 84). The first week served as a baseline measure, followed by a 1-week grayscale intervention. Findings indicate that daily screen time was significantly reduced by 20 min, yet the daily number of phone unlocks did not change, suggesting deep-rooted checking habits. Moreover, grayscaling improved perceived control over one's smartphone use, and reduced perceived overuse, online vigilance, and stress, but did not affect productivity or sleep quality. Overall, findings indicate that grayscaling is an effective strategy to reduce screen time and improve digital well-being.

Changes in the network structure of well-being components in adolescents in the school context: A 2-year longitudinal study

Disentangling the connections between subjective and psychological well-being may help practitioners identify effective targets of intervention to promote mental health in school settings. Based on theoretical foundations of well-being, the present study utilized psychometric network analysis to explore prospective associations between the subjective and psychological well-being of adolescents over 2 years. To this end, a cross-sectional network was estimated at Time 1 (n = 560) and Time 2 (n = 281), followed by a longitudinal network incorporating individual changes across time points in each component (n = 235). The networks included different indicators of subjective (e.g., life satisfaction, positive affect, negative affect) and psychological well-being measured by means of self-reported questionnaires. The results revealed direct connections between indicators of subjective and psychological well-being over time. Positive affect, especially feeling happy and satisfied, exhibited most of these connections. Only one negative longitudinal association emerged, which involved negative affect (e.g., feeling worried) and psychological well-being. The suitability of the network approach to represent the structure of subjective and psychological well-being can be used to widen research on adolescents' well-being. Considering the longitudinal associations identified, the present study makes an exploratory hypothesis to propose specific connectors between subjective and psychological well-being as potential targets for interventions aimed at promoting adolescents' mental health.

Settlement location and school size as determinants of subjective well-being and behavioral attitudes among adolescents

BACKGROUND: Empirical data on the effect of infrastructural and geographical factors on the subjective well-being of residents of small urban and rural communities are scarce.
 AIM: To identify indicators of subjective well-being among adolescents, as well as their behavioral attitudes and subjective assessments of the school environment.
 MATERIAL AND METHODS: We analyzed data collected from 1164 respondents residing in 25 rural and urban settlements across Siberia and the European part of Northern Russia between 2016 and 2018. The Cronbachs alpha values for the dependent variables ranged from 0.654 to 0.811. The variables used to differentiate the comparison groups included the school size, the distance of the settlement from the regional centers infrastructure, and its geographic location in relation to the Arctic zone.
 RESULTS: Various characteristics of the school environment demonstrated the effect of differentiating variables. These characteristics included the friendliness within the school environment, the attitudes of teachers, the preparedness for self-defense, and the attitudes towards the use of psychoactive substances and illegal behavior. The attitudes towards the use of psychoactive substances and the readiness for self-defense were particularly sensitive to differentiating variables.
 CONCLUSION: The results of this study can be used to develop solutions that effectively manage the risks associated with the social and personal development of adolescents residing in small urban and rural settlements within sparsely populated regions of the Russian Federation.

POVERTY AND WELL-BEING: THE SUBJECTIVE WELL-BEING STATUS OF POOR CHILDREN IN KUALA LUMPUR, MALAYSIA

Poverty has a devastating impact on the subjective well-being of urban children. Policymakers, social workers, economists, and researchers employ subjective well-being measurement in policy formulation, improving living conditions, and welfare, and addressing the essential needs, health, environmental, social relationship, and emotional and psychological needs of poor children. Subjective well-being indicators consist of dimensions such as life satisfaction affects life experience, emotion, psychological well-being, and social relationship well-being. All these indicators are crucial in understanding children's needs, and important in policy formulation. This paper will discuss the subjective well-being of poor children in Kuala Lumpur, Malaysia. The discussion can be a direction for future researchers to conduct a similar study.

No evidence that social-democratic welfare states equalize valued outcomes for individuals with disabilities

It is acknowledged that generous welfare states can provide better outcomes to their populations in terms of objective and subjective indicators of well-being, yet there is little comparative evidence of the role that the welfare state regime plays in lessening disability-based inequalities. Using a large comparative data set of most European societies, Tukey's honestly significant difference and generalized Hausman tests for six welfare state regimes, we examine the assumption that social-democratic countries perform better in mitigating disability-based inequalities than conservative, liberal, Southern, Eastern European, and the former Soviet Union welfare state regimes. We compare the valued outcomes for individuals with and without disabilities regarding their education, labour market participation, material well-being, and life satisfaction. The main finding of this study is that the most generous welfare states in Europe do not perform better, and in some cases, perform worse, than other less comprehensive welfare state regimes in closing the gap in valued outcomes between individuals with disabilities and the rest of the population. We discuss potential explanations of these inequalities such as the nature of expectations and changing characteristics of welfare state regimes, and difficulties related to measuring disabilities across European societies.

The impact of the covid-19 pandemic on the subjective well-being of the Belgian population

Abstract Background Data from European studies suggest that well-being declined during the first year of the COVID-19 pandemic. However, the pandemic's consequences on an overall nations’ well-being remains inadequately explored, especially over time. This study aims to map the long-term impact of the pandemic on the subjective well-being (SWB) of Belgian citizens. Methods Using a repeated cross-sectional study design, data were collected in representative samples of the Belgian population at 5 different time points during the period from February 2020 until December 2022. Life evaluation was measured with the Cantril ladder. Positive and negative affect were assessed with the short version of the Positive and Negative Affect Schedule. ANOVA were used to evaluate the evolution in SWB. Moderation analyses were performed to investigate the differential impact of the pandemic for different age categories. Results Our results show that the pandemic negatively impacted the SWB of the Belgian population. Life evaluation (F(4,7605)=18.12, p<.001) and positive affect (F(4,7605)=16.83, p<.001) significantly decreased during the second wave and after the fourth wave compared to before the pandemic with a decline of .52 and .37 points respectively for life evaluation and a decline of .18 and .42 points respectively for positive affect (both on a scale between 0 and 10). No statistically significant differences in negative affect were found (F(4,7605)=1.08, p = 0.363). Citizens over the age of 50 appeared to be more resilient than younger citizens as the negative impact of the pandemic was either smaller or delayed in this group for all SWB indicators. Conclusions The COVID-19 pandemic clearly impacted the SWB of the Belgian population, and particularly the well-being of younger individuals suffered. We urge policymakers to consider all aspects of health during pandemics and to attend in particular the mental health needs of younger members of their society. Key messages • The COVID-19 pandemic and its related measures negatively impacted the well-being of the Belgian population, with younger individuals being more susceptible to the negative effects of the pandemic. • We urge policymakers and governments to consider all aspects of health during pandemics and to attend in particular the mental health needs of younger members of their society.

Twitter Sentiment Geographical Index Dataset

Promoting well-being is one of the key targets of the Sustainable Development Goals at the United Nations. Many national and city governments worldwide are incorporating Subjective Well-Being (SWB) indicators into their agenda, to complement traditional objective development and economic metrics. In this study, we introduce the Twitter Sentiment Geographical Index (TSGI), a location-specific expressed sentiment database with SWB implications, derived through deep-learning-based natural language processing techniques applied to 4.3 billion geotagged tweets worldwide since 2019. Our open-source TSGI database represents the most extensive Twitter sentiment resource to date, encompassing multilingual sentiment measurements across 164 countries at the admin-2 (county/city) level and daily frequency. Based on the TSGI database, we have created a web platform allowing researchers to access the sentiment indices of selected regions in the given time period.

EFFECTIVENESS OF A PSYCHO-EDUCATION PROGRAM FOR ADOLESCENTS WITH EXOGENOUS OBESITY: DEVELOPMENT AND PILOT STUDY

Obesity is a substantial public health problem worldwide. Food restriction methods are generally advised as a remedy, but their effect remains limited if the negative behavioral patterns that cause obesity are not changed. The present study aimed to develop an intervention program, in line with The Obesity-Related Behavioral Intervention Trials (ORBIT) model for behavioral treatment development, to alter the negative eating behaviors (such as emotional eating, impulsive eating, and automatic eating) in adolescents with obesity and increase their subjective well-being. The investigation was based on a single-group pretest-posttest repeated measures design used to evaluate the changes in emotion regulation skills, subjective well-being, and body mass index (BMI). Participants in the intervention program consisted of 11 adolescents aged 15-16 years with a BMI ≥95th percentile (female=6; 54%, and male=5; 46%) and underwent a 15-week psycho-education program. The pilot study results showed that 88% of the participants completed the program with decreased emotion regulation difficulties and a significant increase in subjective well-being. Besides, BMI values showed a remarkable decrease concerning pretest and post-test values. Overall, the proposed psycho-education program can be considered applicable and effective against adolescent obesity, promising practical usability as an innovative and comprehensive approach to tackle the prominent health issue. Further studies with large samples are recommended to affirm the current results.

Investigation and analysis of training injury and its psychological effects on firefighters in Beijing A cross-sectional study.

Firefighters' high-intensity training often leads to injuries in the musculoskeletal system. Studies have found that these injuries in the musculoskeletal system may contribute to poor psychological issues. At the same time, low psychological well-being increases the risk of injuries, illness, and mortality. According to research reports, firefighters generally have a good psychological state. So this study aims to survey and analyze the training-related injuries and psychological states of firefighting and rescue personnel in Beijing. This cross-sectional study employed a questionnaire survey to gather data from a total of 214 firefighters in a certain city. The participants were required to complete a questionnaire about musculoskeletal injuries and psychological status, and then these data were statistically analyzed. The incidence of training-related injuries is relatively high among firefighting and rescue teams, with the highest proportions observed in the lower back, knees, and ankles. Overweight and obese firefighters are more prone to ankle injuries. In the group with injuries, the subjective well-being index is lower compared to the group without injuries. Firefighters experiencing moderate to severe pain due to injuries exhibit lower subjective well-being indices compared to those with mild pain. Psychological resilience and the impact of pain on training and sleep can predict the subjective well-being index of firefighters. It is recommended that firefighting and rescue teams enhance preventive measures for musculoskeletal injuries during training to elevate the subjective well-being of firefighters.

Influence of Self-Efficacy and Resilience on Subjective Well-Being: A Study of the New Curriculum Implementation in Indonesia

Objective: This research was purposely conducted to determine how teachers’ self-efficacy and resilience influence their subjective well-being, especially in implementing new curriculum policies. Method: This research was a correlational study, while the data were collected from 50 respondents and selected using an incidental sampling technique. The questionnaire was employed to gather the data, and SEM analysis using the SmartPLS program was used to analyze data. Results: Both self-efficacy and resilience had influences on teachers’ subjective well-being. Furthermore, resilience was categorized as high in two of the eight resilience indicators. Meanwhile, one of the five subjective well-being indicators was removed due to the examination of indicator or factor loading values in this study. Novelty: This research differed from others as it primarily addressed the variables used in this research individually and still needed to correlate them as factors that possibly influence each other. Moreover, it provides a new perspective on curriculum development by considering teachers' subjective well-being from a non-financial point of view.

Multidimensional Assessment of Student Mental Health during the COVID-19 Pandemic: A Latent Profile Analysis Integrating Positive Psychology

Background: The mental health of young adults, especially university students, has become an increasingly concerning issue. In order to develop targeted interventions and support initiatives, it is essential to comprehend distinct mental health profiles and identify vulnerable groups among Tunisian university students. This study aimed to achieve three main objectives: (a) to empirically identify different profiles of mental health among young adults in Tunisia, based on a person-centred approach using the dual-factor model of mental health, (b) to outline the identified profiles, which incorporate both psychopathological symptoms and indicators of positive subjective well-being, across sociodemographic and academic achievement factors, and (c) to establish predictors of these profiles.Methods: Cross-sectional data was collected from a cohort of teenage Tunisian university students (n = 1185, 54% females), aged between 18 to 24 years old (Mean = 21.10; SD = 2.02). Participants completed an online survey, which included assessments of socio-demographic characteristics, academic achievement, stress, depression, anxiety, spiritual well-being, life satisfaction, and happiness.Results: Analysis of latent profiles revealed the existence of three distinct mental health classes. The first profile (21.1%) represented individuals with poor mental health. The second profile (42.5%) consisted of individuals with moderate mental health, and the third profile (36.4%) comprised individuals with good mental health. Significant differences were found between these three classes regarding family income and academic completion (p<0.01 and p<0.001, respectively). Multinomial logistic regression analysis provided Odds Ratios (OR) with Confidence Intervals (CI), revealing that the poor mental health class was associated with low family income (OR: 3.28; 95% CI: 1.90–5.63) and failed academic achievement (OR: 46; 68% CI: 28.23–77.20). Additionally, the moderate mental health class was linked to low family income (OR: 1.88; 95% CI: 1.30–2.72), living with family (OR: 0.70; 95% CI: 0.49–0.99), and failed academic achievement (OR: 1.50; 95% CI: 1.06–2.11). However, no significant associations were found for middle family income (OR: 1.27; 95% CI: 0.93–1.74) and dwelling in university residence (OR: 0.81; 95% CI: 0.60–1.10) as predictors.Conclusion: This study revealed that a considerable number of university students aged 18 to 24 were vulnerable to mental health issues, irrespective of gender and age. However, students belonging to classes with low incomes and those who did not pass exams were identified as the most vulnerable groups. It is crucial to pay particular attention to these students and provide appropriate support and interventions.

How strong is the will-to-live in frail older persons? A survey study in acute geriatric wards and nursing homes in Belgium

Introduction Will-to-live is defined as the psychological expression of one’s commitment to life and the desire to continue living. It is an important indicator of subjective wellbeing. This study aimed to assess the will-to-live in frail older hospitalized patients and nursing home residents as well as to evaluate its association with physical frailty, tiredness of life, depression and wish-to-die. Methods Between March and September 2021, we interviewed 186 older adults in six nursing homes and two acute geriatric wards across Belgium. Will-to-live was assessed using a single-item numeric rating scale from 0 to 5. A linear regression analysis was performed to assess the association between will-to-live and frailty (Clinical Frailty Scale) with adjustment for age, gender and setting. Mann-Whitney U test was used to evaluate the association between will-to-live and depression, tiredness of life and wish-to-die. Results Mean age was 85 (± 6.2) years. Mean score on the Clinical Frailty Scale was five (± 1.5) and four on the will-to-live (± 1.3). No statistical significant association was found between will-to-live and age (p = 0.991), gender (p = 0.272), setting (p = 0.627) and frailty (p = 0.629). Multiple linear regression showed no significant association with Clinical Frailty Scale (p = 0.660), after adjustment for age, gender and setting. Will-to-live was negatively associated with tiredness of life (p = 0.020) and wish-to-die (p < 0.001), but not with depression (p = 0.186). Discussion Both nursing home residents and older hospitalized patients expressed a strong or very strong will-to-live. Will-to-live was not associated with physical frailty as measured by the Clinical Frailty Scale. Nursing home residents with a weak will-to-live were more likely to have depressive symptoms. Most nursing home residents with a wish-to-die had also a low will-to-live, although some residents had both a high will-to-live and wish-to-die.

Using artificial intelligence to identify the top 50 independent predictors of subjective well-being in a multinational sample of 37,991 older European & Israeli adults

Subjective well-being (SWB) is widely recognized as an important health outcome, but its complexity, myriad predictors, and analytic requirements pose significant challenges to identifying the relative order and impact of SWB determinants. This study involved a representative sample of 37,991 older adults from 17 European countries and Israel. An aggregate index of SWB was developed and compared across countries, and machine-learning algorithms were used to rank-order the strongest 50 (of an initial 94) SWB predictors from 15 categories. General Additive Modeling (GAM) and low-degree polynomials (i.e., splines) were used to determine the independent effect sizes and significance levels for each of these top-50 SWB predictors. Of the 18 countries included in this study, Denmark had the highest mean SWB, while Greece had the lowest. The two top-ranked SWB predictors (loneliness, social activity satisfaction) were social factors, which also had the highest overall group ranking, followed by physical health, demographics, financial status and personality. Self-reported health was the strongest health-related predictor, neuroticism was the strongest personality predictor, and women reported higher SWB than men. SWB decreased with age, and increased with income up to 350,000 euros/year, after which it declined. Social factors were of primary importance for subjective well-being in this research, while childhood experiences and healthcare status exerted the smallest effects. The vast majority of the top 50 SWB predictors were statistically significant, with the notable exceptions of body mass index and most health behaviors, which may impact SWB indirectly through their effects on physical health. Future multivariate modeling is recommended to clarify the mechanisms for these and other observed relationships.

Association of Population Well-Being With Cardiovascular Outcomes

Mortality from cardiovascular disease (CVD) varies across communities and is associated with known structural and population health factors. Still, a population's well-being, including sense of purpose, social relationships, financial security, and relationship to community, may be an important target to improve cardiovascular health. To examine the association of population level measures of well-being with rates of CVD mortality in the US. This cross-sectional study linked data from the Gallup National Health and Well-Being Index (WBI) survey to county-level rates of CVD mortality from the Centers for Disease Control and Prevention Atlas of Heart Disease and Stroke. Participants were respondents of the WBI survey, which was conducted by Gallup with randomly selected adults aged 18 years or older from 2015 to 2017. Data were analyzed from August 2022 to May 2023. The primary outcome was the county-level rate of total CVD mortality; secondary outcomes were mortality rates for stroke, heart failure, coronary heart disease, acute myocardial infarction, and total heart disease. The association of population well-being (measured using a modified version of the WBI) with CVD mortality was assessed, and an analysis of whether the association was modified by county structural factors (Area Deprivation Index [ADI], income inequality, and urbanicity) and population health factors (percentages of the adult population who had hypertension, diabetes, or obesity; were currently smoking; and were physically inactive) was conducted. Population WBI and its ability to mediate the association of structural factors associated with CVD using structural equation models was also assessed. Well-being surveys were completed by 514 971 individuals (mean [SD] age 54.0 [19.2] years; 251 691 [48.9%] women; 379 521 [76.0%] White respondents) living in 3228 counties. Mortality rates for CVD decreased from a mean of 499.7 (range, 174.2-974.7) deaths per 100 000 persons in counties with the lowest quintile of population well-being to 438.6 (range, 110.1-850.4) deaths per 100 000 persons in counties with the highest quintile of population well-being. Secondary outcomes showed similar patterns. In the unadjusted model, the effect size (SE) of WBI on CVD mortality was -15.5 (1.5; P < .001), or a decrease of 15 deaths per 100 000 persons for each 1-point increase of population well-being. After adjusting for structural factors and structural plus population health factors, the association was attenuated but still significant, with an effect size (SE) of -7.3 (1.6; P < .001); for each 1-point increase in well-being, the total cardiovascular death rate decreased by 7.3 deaths per 100 000 persons. Secondary outcomes showed similar patterns, with mortality due to coronary heart disease and heart failure being significant in fully adjusted models. In mediation analyses, associations of income inequality and ADI with CVD mortality were all partly mediated by the modified population WBI. In this cross-sectional study assessing the association of well-being and cardiovascular outcomes, higher well-being, a measurable, modifiable, and meaningful outcome, was associated with lower CVD mortality, even after controlling for structural and cardiovascular-related population health factors, indicating that well-being may be a focus for advancing cardiovascular health.

Doing things when others do: Temporal synchrony and subjective wellbeing

Proposing a measure of synchrony, the level of accordance between individual and collective schedules, we examined the effects of synchrony on the two indicators of subjective wellbeing, daily mood, and life satisfaction. We argue that temporal norms underlying collective schedules are a part of social norms, the deviation from which influences an individual's wellbeing via external and internal sanctions. Analyses of time-use data showed that synchrony was effective in improving evaluative wellbeing (life satisfaction) but not affective wellbeing (daily mood). More specifically, synchrony did not predict well who was satisfied with life but did fairly well predict who was not, which implies that compliance with temporal norms is a necessary but not sufficient condition of life satisfaction.

The Will-to-Live among Adult Workers

The will-to-live is a specific indicator of subjective well-being. This article aimed to test the psychometric features of the Will-to-Live Scale (WTLS) for adult workers, and the relations of different psycho-social variables with will-to-live. The sample included 402 full-time workers, aged between 18 and 65 years. Confirmatory factor analysis revealed that the one-dimensional model of the WTLS is good. Measurement invariance by gender and reliability were adequate. Subsequent analysis showed that the WTLS scores were significantly and negatively related to workplace loneliness, and positively associated with self-esteem and satisfaction with life. Satisfaction with job life was linked to increased will-to-live. Psychological measures accounted for a larger proportion of the explained variance in WTLS than the demographic measures.

Sleep and subjective well-being among chinese adolescents

Introduction: The relationships among sleep, resilience, and subjective well-being (SWB) are less studied in adolescents. This study aimed to examine the associations between multiple sleep domains (sleep duration and quality, and chronotype) and SWB in Chinese adolescents, and whether resilience mediated these relationships. Methods: We enrolled 455 adolescents in Jintan and Nanjing cities (Jiangsu Province, China) in 2017–2018. Sleep variables included sleep duration (time in bed [TIB], interval between bedtime and waketime), sleep quality (global score of the Pittsburgh Sleep Quality Index [PSQI]), and chronotype (mid-sleep time on weekends corrected for sleep debt). We used the Chinese version of the Connor–Davidson Resilience Scale to measure resilience, and the satisfaction with Life Scale and Subjective Happiness Scale to measure SWB. Mediation analyses were performed using structural equation modeling with a bootstrap approach. Results: The associations between sleep duration/sleep quality and SWB were fully mediated by resilience. Specifically, longer TIB (B = 2.04, P = 0.03) and lower PSQI scores (B = −1.60, P &lt; 0.001) were associated with greater resilience, which in turn, was associated with greater latent SWB constructed from happiness and life satisfaction (BTIB = 0.12, BPSQI = 0.11, P &lt; 0.05). Later chronotype was associated with lower happiness (B = −0.52, P = 0.01) and life satisfaction (B = −0.76, P = 0.02) but not resilience and latent SWB. Conclusion: Sleep duration and sleep quality were positively associated with latent SWB, and resilience is a mediator. Later, chronotype was independently associated with lower levels of SWB indicators, including happiness and life satisfaction. The study findings highlight the importance of optimal sleep in promoting resilience and SWB during adolescence.

Methods for Assessing the Psychological Tension of Social Network Users during the Coronavirus Pandemic and Its Uses for Predictive Analysis

This article address approaches to the development of methods for assessing the psychological state of social network members during the coronavirus pandemic through sentiment analysis of messages. The purpose of the work is to determine the psychological tension index by using a previously developed thematically ranked dictionary. Researchers have investigated methods to evaluate psychological tension among social network users and to forecast the psychological distress. The approach is novel in the sense that it ranks emojis by mood, considering both the emotional tone of tweets and the emoji’s dictionary meanings. A novel method is proposed to assess the dynamics of the psychological state of social network users as an indicator of their subjective well-being, and develop targeted interventions for help. Based on the ranking of the Emotional Vocabulary Index (EVI) and Subjective Well-being Index (SWI), a scheme is developed to predict the development of psychological tension. The significance lies in the efficient assessment of the fluctuations in the mental wellness of network users as an indication of their emotions and a prerequisite for further predictive analysis. The findings gave a computed value of EVI of 306.15 for April 2022. The prediction accuracy of 88.75% was achieved.