Measuring objective and subjective well-being: dimensions and data sources

Psychosocial burden in mothers with epilepsy and their caregiver: Feasibility and preliminary results of a digital screening procedure

OBJECTIVE

The present study aims to evaluate the feasibility of utilizing a digital procedure to screen for anxiety and depression as well as impairments in psychosocial aspects, such as social support, social activity and quality of life (QoL) in women with epilepsy (WWE) after childbirth. Furthermore, the study intends to digitally screen for burden of the respective caregivers in WWE compared to a healthy control group.

MATERIALS AND METHODS

This comparative cross-sectional study was conducted in the post-partum period on 30 WWE and 33 healthy controls who gave birth between 01/2018 and 05/2021. Additionally, 24 caregivers of WWE and 26 caregivers of healthy mothers took part in this study. Information on psychosocial health and psychosocial burden was collected digitally using the short version of the Social Support Questionnaire, the Social Activity Self-Report Scale and the Hospital Anxiety and Depression Scale. The caregiver burden was digitally assessed with the Zarit Burden Scale in its German adaptation (i.e., Zarit Burden Interview and the Family Burden Questionnaire). Furthermore, QoL was assessed with the QOLIE-31 (Quality of Life in Epilepsy Inventory) in WWE and with the Life Satisfaction Questionnaire in healthy controls.

RESULTS

When comparing WWE and healthy controls, the groups were comparable on psychosocial aspects, such as self-reported social support, anxiety, depression and social activity, when assessed with self-report measures in a digital screening procedure. Although not significantly different between groups, anxiety, depression, self-reported social support and social activity were correlated with overall QoL in both, WWE and healthy controls. Caregivers of WWE and healthy controls were neither significantly different in their objective burden nor in their subjective burden as reported in digitally applied self-report measures.

CONCLUSION

Although not significantly different between groups, given the correlation between psychosocial aspects and QoL, it is worthwhile to include these aspects in standard clinical screening extending beyond the screening of anxiety and depression in WWE. Overall, the preliminary psychosocial data presented in this study suggest that a digital assessment of psychosocial burden seems reasonable in WWE and warrants integration into further research and clinical practice. Nevertheless, since no significant differences concerning psychosocial aspects were found in the present study, one may argue that highly specialized clinical care, as provided in the present study, may counteract potential psychosocial impairment experienced by WWE who do not receive such specialized care. Hence, further investigations outside of specialized outpatient clinics as well as prospective investigations of subjective factors that may dynamically change during pregnancy ought to be addressed in clinical practice and research for improving care during and after pregnancy in WWE.

Attitudes of Chinese public towards the autism community: Evidence from a decade of Weibo data

Autism is a highly stigmatized developmental disorder in Chinese society, with the public harboring many prejudices and misunderstandings towards individuals with autism.Grounded in ABC attitude theory, explores the status, trends, and characteristics of Weibo users' attitudes towards the autism community. Utilizing natural language processing and machine learning techniques, the study analyzes 1,113,014 Weibo posts concerning autism, spanning from January 1, 2013, to December 31, 2022. Findings indicate that Weibo users generally hold a positive and progressively improving attitude towards the autism community, particularly in affective and behavioral dimensions. However, the cognitive dimension of these attitudes remains relatively underdeveloped. Notable variations in attitudes and their components are evident across demographic variables such as gender, age, educational level, and verification status. These insights offer valuable guidance for policy-making by relevant authorities and contribute to enhancing public acceptance of individuals with autism.

Opposing objective and subjective wellbeing outcomes within an environmentally vulnerable delta: a case study of Volta Delta, Ghana

Introduction

Despite a growing interest in the measurement and conceptualization of wellbeing, the integration within sustainability research, and the understanding of how different wellbeing outcomes relate, is limited. Many studies focus on singular, often objectively measured, outcomes, without acknowledging the breadth of available measures. This approach can result in crucial subjective information, which can be explored to understand actors' behaviors and responses, being omitted from research and policy. This study explores objective and subjective wellbeing outcomes, and how they relate, within an environmentally vulnerable context. Wellbeing and environmental services are intrinsically interlinked, therefore, appropriate policy solutions are required to address human needs and pressures on supporting ecosystems.

Methods

This paper uses binary logistic regression modelling, and qualitative participatory rural appraisal methods, to understand the environmental conditions, including climatic hazards and landscape characteristics, associated with households experiencing different objective/subjective wellbeing outcomes within Volta Delta, Ghana.

Results

The mixed method approach highlights a differing relationship between inland agricultural areas impacted by drought and erosion, and coastal/riverine, peri-urban landscapes exposed to flooding and salinization. Agricultural areas associate with "poor but happy" outcomes, whereas peri-urban landscapes associate with being "non-poor but unhappy." Drawing on existing literature, and both quantitative and qualitative results, these varying outcomes are hypothesized to be driven by differences in livelihood vulnerability, relative comparisons to others, responses to climatic hazards, and individualistic/collective wellbeing conceptualizations.

Discussion

Our study concludes that environmental conditions influence objective and subjective wellbeing through different mechanisms. Sustainable development research should incorporate both objective and subjective measures when implementing and monitoring policy to more comprehensibly capture, and improve, wellbeing in environmentally vulnerable locations.

Determinants of Health Status and Life Satisfaction among Older South Koreans

South Korea is a rapidly aging society with the lowest fertility rates among the OECD economies. It is projected to become a super-aged society in 2025, with the share of individuals older than 65 reaching twenty percent. These developments make it important to analyze the determinants of health outcomes in older individuals. In this study, we identified the determinants of subjective and objective health outcomes among senior individuals in South Korea. We used self-rated health and life satisfaction scores as the two subjective health status indicators, while the number of chronic diseases was the objective one. We ran Tobit multivariate regressions of all three indicators on a set of factors related to the older citizens' physical, economic, and social characteristics. Active employment status and willingness to work in the future were positively related to self-rated health level but were not statistically related to life satisfaction, while income positively affected both subjective health status indicators. Age did not appear to affect satisfaction with life. Active leisure activities were positively related to both self-rated health and life satisfaction. In contrast, passive leisure, such as watching TV, was negatively related to both health status indicators while being associated with an increased number of chronic diseases. Our findings suggest that older South Koreans view employment primarily as a means of financial support rather than as an opportunity for active social engagement.

Improving small-scale fishermen's subjective well-being in Indonesia: Does the internet use play a role?

The expansion of Internet access from urban to rural and coastal areas has changed all aspects of life, including lifestyles and work practices. Although several studies have shown that Internet use is essential in the fisheries sector, more information about the link between Internet usage and subjective well-being among small-scale fishermen is needed. This study is the first attempt to investigate the effect of Internet use on subjective well-being, particularly for small-scale fishers. This study used cross-sectional data from 220 respondents in East Java, Indonesia. Two-stage predictor substitution (2SPS) approaches were used to address the endogeneity issue in the estimation. The results revealed that fishing tools, access to credit, and region positively and significantly influenced small-scale fishers' determination to use the Internet. Savings and off-farm employment significantly and negatively affect adoption decisions. The main findings suggest that Internet use significantly increases small-scale fishermen's subjective well-being (proxied by happiness and life satisfaction). This suggests that improving the Internet infrastructure in coastal areas is needed to support economic activities in the fisheries sector and boost the well-being of small-scale fishers.

The effect of Internet use on nutritional intake and health outcomes: new evidence from rural China

Introduction

Internet use is changing nutritional intake and health outcomes, but the results are mixed, and less attention is given to the rural developing regions. Based on the China Health and Nutrition Survey (CHNS) data from 2004 to 2015, this study seeks to better understand the effect of Internet use on nutritional intake and health outcomes.

Methods

An instrumental variable estimation is used to address endogeneity problem.

Results

The results show that Internet use improves the dietary knowledge of rural residents, and thus has a positive impact on dietary quality, such as healthy eating index (HEI) and dietary diversity score (DDS). The higher the dietary quality, the better the nutritional health status. However, results also show that Internet use increases the risk of overweight, and obesity among rural Chinese residents. Because Internet use has significantly reduced the physical activity of rural residents in China. Interestingly, we also find that the Internet increases the risk of chronic diseases such as diabetes and high blood pressure, but there is a positive causal relationship between Internet use and the self-assessment score of health.

Discussion

Our findings suggest that there may be a serious lack of awareness of the health risks of chronic diseases among Chinese rural residents. Therefore, policymakers are suggested to consider the possible negative effects when promoting digital development.

Edgeworth's mathematization of social well-being

Francis Ysidro Edgeworth's unduly neglected monograph New and Old Methods of Ethics (1877) advances a highly sophisticated and mathematized account of social well-being in the utilitarian tradition of his 19th-century contemporaries. This article illustrates how his usage of the 'calculus of variations' was combined with findings from empirical psychology and economic theory to construct a consequentialist axiological framework. A conclusion is drawn that Edgeworth is a methodological predecessor to several important methods, ideas, and issues that continue to be discussed in contemporary social well-being studies.

Community resilience across Australia towards natural hazards: an application of the Conjoint Community Resiliency Assessment Measurement

Natural hazards can turn into disasters when not managed well. An important part of disaster risk reduction is to understand how well communities are prepared for natural hazards and how well they can cope with and recover from shocks in the long term. This research assesses self-reported community resilience and asks what makes a community resilient, using Australia as a case study. It reports on an Australian-wide online survey which included questions related to the Conjoint Community Resiliency Assessment Measurement, a subjective indicator, as well as questions about risk perception, well-being, and self-efficacy. Community resilience was found to be moderately high but scores for community leadership and preparedness were low. Perceived community resilience was positively correlated with age and those with high scores for self-efficacy and well-being. There was, as expected, an inverse relationship between reliance on external support during natural hazards and self-efficacy. The results complement previous studies which used different measures of community resilience.

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.

Well-being spectrum traits are associated with polygenic scores for autism

Individuals with autism spectrum disorder (ASD) tend to experience lower well-being as demonstrated mostly for children and adolescents in epidemiological studies. A further investigation of inclusive well-being, in terms of five well-being spectrum (5-WBS) traits including neuroticism, depression, loneliness, life satisfaction, and positive affect, among adults with ASD may deepen our understanding of their well-being, and lead to the possibility to further modify societal supportive mechanisms for individuals with ASD. This study aims to investigate if a genetic predisposition for ASD is associated with 5-WBS traits using polygenic risk score (PRS) analysis. PRS for ASD were calculated based on the latest genome-wide association study of ASD by the Psychiatric Genetics Consortium (18,381 cases, 27,969 controls) and were created in the independent cohort UK Biobank. Regression analyses were performed to investigate the association between ASD PRS and 5-WBS traits in the UK Biobank population including 337,423 individuals. ASD PRS were significantly associated with all 5-WBS traits, showing a positive association with the negative WBS traits, neuroticism (max R2  = 0.04%, p < 1 × 10-4 ), depression (max R2  = 0.06%, p < 1 × 10-4 ), loneliness (max R2  = 0.04%, p < 1 × 10-4 ), and a negative association with the positive WBS traits, life satisfaction (max R2  = 0.08%, p < 1 × 10-4 ), positive affect (max R2  = 0.10%, p < 1 × 10-4 ). The findings suggest that adults carrying a high load of risk single nucleotide peptides (SNPs) for ASD are more likely to report decreased well-being. The study demonstrates a considerable connection between susceptibility to ASD, its underlying genetic etiology and well-being.

Mediation effect of emotional self-regulation in the relationship between physical activity and subjective well-being in Chilean adolescents

Adolescents' subjective well-being and physical activity have been found to be correlated in previous studies. However, the underlying mechanisms of this relationship, especially the potential contribution of emotional self-regulation, have received little attention. This study aims to investigate the extent to which emotional self-regulation mediates the association between adolescent physical activity habits and their subjective well-being. The study involved 9585 adolescents who completed a cross-sectional survey. Participants were aged between 10 and 19 years old and attended primary and secondary schools in all 16 regions of Chile. The survey utilized a self-report questionnaire to measure physical activity habits, subjective well-being, and emotional self-regulation. Sociodemographic variables, such as age, gender, and socioeconomic level, were also considered in the analysis. The results showed that physical activity habits, emotional regulation, and subjective well-being were positively correlated. Among these factors, the strongest association was found between subjective well-being and emotional self-regulation. The mediation analysis revealed a partial mediation effect of emotional self-regulation between physical activity habits and subjective well-being. In other words, physical activity habits affect subjective well-being to the extent that these habits affect emotional self-regulation. These findings provide valuable insights into the mechanisms underlying the link between physical activity habits and subjective well-being among adolescents. They also offer useful information for the development of public programs and policies aimed at promoting physical activity habits and subjective well-being in young people.

Citizen science for monitoring the health and well-being related Sustainable Development Goals and the World Health Organization's Triple Billion Targets

Achieving the health and well-being related Sustainable Development Goals (SDGs) and the World Health Organization's (WHO) Triple Billion Targets depends on informed decisions that are based on concerted data collection and monitoring efforts. Even though data availability has been increasing in recent years, significant gaps still remain for routine surveillance to guide policies and actions. The COVID-19 crisis has shown that more and better data and strengthened health information systems are needed to inform timely decisions that save lives. Traditional sources of data such as nationally representative surveys are not adequate for addressing this challenge alone. Additionally, the funding required to measure all health and well-being related SDG indicators and Triple Billion Targets using only traditional sources of data is a challenge to achieving efficient, timely and reliable monitoring systems. Citizen science, public participation in scientific research and knowledge production, can contribute to addressing some of these data gaps efficiently and sustainably when designed well, and ultimately, could contribute to the achievement of the health and well-being related SDGs and Triple Billion Targets. Through a systematic review of health and well-being related indicators, as well as citizen science initiatives, this paper aims to explore the potential of citizen science for monitoring health and well-being and for mobilizing action toward the achievement of health and well-being related targets as outlined in the SDG framework and Triple Billion Targets. The results demonstrate that out of 58 health and well-being related indicators of the SDGs and Triple Billion Targets covered in this study, citizen science could potentially contribute to monitoring 48 of these indicators and their targets, mostly at a local and community level, which can then be upscaled at a national level with the projection to reach global level monitoring and implementation. To integrate citizen science with official health and well-being statistics, the main recommendation is to build trusted partnerships with key stakeholders including National Statistical Offices, governments, academia and the custodian agencies, which is mostly the WHO for these health and well-being related targets and indicators.

Future directions in human mobility science

We provide a brief review of human mobility science and present three key areas where we expect to see substantial advancements. We start from the mind and discuss the need to better understand how spatial cognition shapes mobility patterns. We then move to societies and argue the importance of better understanding new forms of transportation. We conclude by discussing how algorithms shape mobility behavior and provide useful tools for modelers. Finally, we discuss how progress on these research directions may help us address some of the challenges our society faces today.

Understanding and Measuring Child Well-being in the Region of Attica, Greece: Round Five

This research paper aims to present the results of the implementation of the C.W.-SMILE tool that recorded child well-being in the second semester of the 2020-2021 school year. This is the fifth round of this ongoing diachronic research. The C.W.-SMILE tool consists of six dimensions: home conditions (D.1), nutrition (D.2), unemployment of guardians (D.3), free healthcare (D.4), moral education (D.5), and leisure (D.6). The first three dimensions concern children's economic well-being, while the latter three dimensions determine children's non-economic well-being. Based on welfare economics, the combination of economic well-being and non-economic well-being constitutes children's general (social) well-being. Each dimension consists of Simple Indicators. The paper also presents the results of the school year as a whole, to help investigate the evolving impact of the COVID-19 pandemic on children's well-being for more periods. The tool was used to measure the well-being of children in Attica, through questionnaires that were circulated in 22 public schools and three support centers of the organization 'The Smile of the Child' (25 units in total). The sample consisted of 509 children, belonging to three distinct school categories. The results of the second semester are mapped in seven clusters (relating to seven socio-economically homogenous groups of municipalities in Attica). Analysis of the results of the school year 2020-2021 was done based on the data collected from a sample of 1,623 children; in other words, it took into account the data relating to the entire samples that were surveyed in the first and second semesters. The central outcomes of all the previous rounds of the research are verified through a principal component analysis (PCA), and a multiple correspondence analysis (MCA) which are employed for the fifth round. Finally, the paper suggests an action plan of social welfare based on a ChoiCo game designed for the needs of the fifth round of the C.W.-SMILE research.

Impact of public transport disruption on access to healthcare facility and well-being during the COVID-19 pandemic: A qualitative case study in Metro Manila, Philippines

The COVID-19 pandemic has forced many governments to halt public transport operations. A consequence of such disruption is the reduction in access to critical facilities by individuals who rely on public transport for their daily mobility. We investigate the impact disparities caused by the restriction of public transportation on the access of healthcare workers and patients to healthcare facilities during the COVID-19 pandemic. Metro Manila is an appropriate case study site because the duration of suspension of public transport in the mega-city is one of the longest in the world. The prolonged duration of the lockdown could have devastating impacts on the well-being of individuals who are reliant on public transport to access essential services. Guided by the Yin-Eisenhardt approach to qualitative research, we examined the data from 55 individuals using within-case and cross-case analyses iteratively for the purpose of building a model on the impact of change in access due to public transport disruption on well-being. We mobilized constructs and concepts known in the literature, such as well-being, access, disruption, resistance, resilience, and vulnerability, in developing our two-step conceptual model. Given the profound impact of the prolonged and system-wide suspension of public transport on the well-being of individuals, it is necessary to provide sufficient public transport and active transport infrastructure and services that can cover their mobility needs. The two-step conceptual model from this study can provide guidance on specific policy interventions.

Beyond GDP: Using healthy lifetime income to trace well-being over time with estimates for 193 countries

We measure well-being across 193 countries from 1990 to 2019 using a new indicator: healthy lifetime income (HLI). Apart from the income component as captured by standard per capita gross domestic product, HLI incorporates health as a second important component. Overall, HLI can be interpreted as the income of the average person in an economy during the years in which the person is in good health. We show that HLI has particular strengths as compared with other measures such as the Human Development Index. These include requiring only easily accessible data for its construction, having an immediate economic interpretation and unit of measurement, not needing the application of arbitrary weights of subcomponents, and not being bounded from above. As compared with using per capita gross domestic product as a metric for well-being, we find that countries with better population health tend to fare better in the rankings. This provides a rationale for investments in health and helps shift the focus from material well-being (as an instrumental indicator of well-being) toward health (as an intrinsic goal).

Pension level, subjective wellbeing, and preference of care model among elderly people: An empirical study based on structural equation modeling

The problem of population aging is becoming increasingly serious, and the elderly care model has become the social focus in China. It is urgent to improve the traditional home based elderly care model and increase the recognition of the residents for the socialized elderly care model. Based on the data of the 2018 China Longitudinal Aging Social Survey (CLASS), this paper uses structural equation model (SEM) to empirically test the impact of the elderly group's social pension level and subjective well-being on their choice of various care models. The results show that the improvement of elderly's pension level can significantly inhibit their choice of home-based care model, and promote their choice of community and institution care model. Subjective well-being can play a mediating role in the home-based and community care model choices, but the indirect approach mediated by subjective well-being only plays a supplementary role. In addition, the heterogeneity analysis shows that there are discrepancies in the impact and path for the elderly with different gender, age, household registration, marital status, health status, education level, number of children, and gender of children. The results of this study will help the improvement and development of social pension policy, optimizing the structure of residents' elderly care model and the process of "active aging".

Convergence Analysis of Cross-Province Human Well-Being in China: A Spatiotemporal Perspective

China's economy has been experiencing a new development mode that emphasizes an environmentally friendly green economy and high living standards. The concept of human well-being has become increasingly prominent in recent years to replace GDP per capita as an important indicator for evaluating happiness. In the context of the green economy, it is of great significance to incorporate environmental indicators for evaluating human well-being. To this end, this paper constructs a new human well-being evaluation indicator system including environmental sustainability, and then evaluates the well-being levels of 30 provinces in China from 2011 to 2020 using a comprehensive evaluation method. Then, various statistical methods and visualization methods are used to deeply analyze the spatiotemporal changes in the well-being scores of Chinese provinces during the sample period. Finally, the spatial convergence model was used to verify if cross-province well-being scores would converge to a common steady state. The findings are as follows. (1) The scores of the environmental sustainability subsystem greatly vary from province to province. This is because the local governments have attached great importance to the construction of green ecological civilization in recent years, thus increasing the investment in protecting the ecological environment. (2) From temporal dimensions, overall human well-being scores of 30 provinces slightly increased year after year. In geography, eastern provinces have the highest human well-being scores, followed by northeast, northwest, and southwest provinces. (3) In terms of the scores of the four subsystems, we find that nearly all provinces have their advantages and disadvantages. (4) From the results of the spatial convergence models, both absolute and conditional β convergence have been verified, indicating that the human well-being of all provinces will converge to the common steady state in the future.

Robotic life of casino employees: exploring well-being dimensions in the gambling industry in Malaysia

Purpose

Employee well-being in a casino work environment is crucial for the quality of work-life and employees' performance. This study examines the dimensions of well-being at a casino in Malaysia to gain deeper insights into employee challenges and motivational factors to arrive at practical mitigation efforts.

Design/methodology/approach

The study adopted a qualitative approach involving 14 semi-structured interviews with casino employees in Malaysia. Interviews lasted 30 min to 2 h at a time when Covid-19 was raging in 2021. Responses were analysed via a data-driven approach and coded using NVivo software to delineate the contents into analytical categories of well-being dimensions.

Findings

The findings suggest that employees at the casino face challenges in achieving work-life balance. Employee's well-being suffers from insufficient break time, irregular working hours affecting family time, managing customer temper tantrums and lack of emotional support systems and remunerations altered by the pandemic. Women employees were particularly vulnerable.

Research limitations/implications

The findings suggest a need to create better working conditions and address well-being with counselling support for stress management, a balanced approach by employers to the “customer is always right” mantra, creating promising career pathways and supervisors to have better oversight of workaholics. The research focused only on one casino and there was limited access to management departments for an organizational perspective.

Originality/value

This study adds to the body of knowledge on employee well-being in the context of a casino. It suggests hospitality and tourism organizations review their human resource practices that would ease the stresses at the workplace and create support systems to promote employee well-being. Crucially, in a pandemic crisis, well-being dimensions must be accommodating and integrative to employee sentiments, sensitivity and self-actualization.

A dataset to assess mobility changes in Chile following local quarantines

Fighting the COVID-19 pandemic, most countries have implemented non-pharmaceutical interventions like wearing masks, physical distancing, lockdown, and travel restrictions. Because of their economic and logistical effects, tracking mobility changes during quarantines is crucial in assessing their efficacy and predicting the virus spread. Unlike many other heavily affected countries, Chile implemented quarantines at a more localized level, shutting down small administrative zones, rather than the whole country or large regions. Given the non-obvious effects of these localized quarantines, tracking mobility becomes even more critical in Chile. To assess the impact on human mobility of the localized quarantines, we analyze a mobile phone dataset made available by Telefónica Chile, which comprises 31 billion eXtended Detail Records and 5.4 million users covering the period February 26th to September 20th, 2020. From these records, we derive three epidemiologically relevant metrics describing the mobility within and between comunas. The datasets made available may be useful to understand the effect of localized quarantines in containing the COVID-19 pandemic.

National wellbeing and macro talent management revisited: issues of convergence and moderating role of natural resource endowment in developing countries

Management scholarship targeted at addressing grand societal problems such as national wellbeing is very few and remains highly fragmented. Hence, this study examines macro talent management (MTM) on national wellbeing and the moderating role of natural resource endowment (NRE). It applies dynamic system generalised method of moments estimator to longitudinal data from 78 developing countries. The results show that MTM can improve subjective and economic national wellbeing. Also, NRE positively moderates the relationship between MTM and national wellbeing facets. Besides, convergence in both subjective and economic national wellbeing is possible, driven significantly by MTM but with heterogeneous regional paths. This study contributes to talent management and wellbeing theories at the macro-level, and further demonstrates that countries can achieve national wellbeing synergies because of MTM practices. Moreover, it incorporates NRE as a macro-level boundary condition into the human capital theory to demonstrate that NRE complements MTM to accelerate national wellbeing facets.

Does Water Quality Matter for Life Quality? A Study of the Impact of Water Quality on Well-being in a Coastal Community

Most studies of life quality are concentrated on a country-level scale, while local differences within a country or area are less studied. Thus, the effect of the environment on life quality on a local scale remains understudied and is often represented by one generalized common factor. In this study, we investigated the effect of an objectively measured environmental quality variable and subjective reflections of this (perceptions of environmental quality) in relation to life quality in a coastal community. Hence, we tested the effect of objective and subjective water quality measures using a model, accounting for other traditional variables (e.g., income and health) that predict life quality variations. Our findings indicate that perceptions of the environment are strongly associated with life quality, whereas objectively measured environmental quality is associated with life quality to a lesser extent. Thus, our results suggest that the impact of the environment on life quality is mediated via the way the environment is perceived (psychological effects) and less by the actual conditions of the environment.

Measuring mental well-being in Sri Lanka: validation of the Warwick Edinburgh Mental Well-being Scale (WEMWBS) in a Sinhala speaking community

BACKGROUND

Well-being is an important aspect of people's lives and can be considered as an index of social progress. The Warwick Edinburgh Mental Well-being scale (WEMWBS) was developed to capture subjective mental well-being. It is a widely tested measure of mental well-being at the population level and has 14 items and a short-form with 7 items. This study was carried out to culturally validate and adapt the WEMWBS among a Sinhala speaking population in Sri Lanka.

METHODS

A forward and backward translation of the scale into Sinhala was done followed by a cognitive interview. The translated and culturally adapted scale and other mental health scales were administered to a sample of 294 persons between the ages of 17-73 using a paper-based version (n = 210) and an online survey (n = 84). Internal consistency reliability and test-retest reliability were tested. Construct validity, and convergent and discriminant validity were assessed using the total sample.

RESULTS

The translated questionnaire had good face and content validity. Internal consistency reliability was 0.91 and 0.84 for the 14-item and 7-item scales, respectively. Test-retest reliability over two weeks was satisfactory (Spearman r = 0.72 p < 0.001). Confirmatory factor analysis supported a one factor model. Convergent validity was assessed using WHO-5 well-being index (Spearman r = 0.67, p < 0.001), Patient Health Questionnaire (PHQ-9) (Spearman r = (-0.45), p < 0.001) and Kessler psychological distress scale (K10) (Spearman r = (-0.55), p < 0.001).

CONCLUSIONS

The translated and culturally adapted Sinhala version of the WEMWBS has acceptable psychometric properties to assess mental well-being at the population level among the Sinhala speaking population in Sri Lanka.

Understanding and Measuring Child Well-being in the Region of Attica, Greece: Round four

This paper aims to present the results of implementing a new, multi-dimensional and cumulative tool that records the well-being of children in the 1st semester of the school year 2020-2021, which constitutes the fourth round of an ongoing research. The tool was implemented in Attica through questionnaires circulated in twenty-five schools and three support centers for children and families under the organization, "The Smile of the Child" (twenty-eight bodies in total). The total number of children who participated in the sample was 1,114, belonging to three distinct school categories: the 6th grade of elementary school (10-11 years old), the 3rd grade of junior high (13-14 years old), and the 3rd grade of high school (16-17 years old). The results, mapped out in seven clusters, reveal evident concerns over nutrition and the moral education of students. In addition, the results indicate the impact of the COVID-19 pandemic on the well-being of children and reveal with regard to national policy and legislation framework that the status of welfare state in Greece is ineffective and problematic. The theoretical and methodological framework of the study was confirmed through a multiple correspondence analysis (MCA) and a principal component analysis (PCA).The outputs of MCA reflect and confirm the good effect of "The Smile of the Child" for children in need. Finally, an action plan including the creation of policies based on public finance and fuzzy logic was suggested, the most important being the necessity of the establishment of a new Ministry for the protection of child well-being.

Exploring the Impacts of Urban Community Leisure on Subjective Well-Being during COVID-19: A Mixed Methods Case Study

Participating in community leisure activities has become an important way for the public to pursue good health and a high quality of life. However, few studies have focused on the health and welfare effects of participating in urban leisure activities during the COVID-19 pandemic. In response to this gap in the literature, this study drew on the stimulus-organism-response (SOR) theory to examine the effects of community leisure on subjective well-being during the pandemic from the perspective of urban residents. A sample of 1041 urban residents in Beijing, China, was empirically analyzed by applying partial least squares structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). The PLS-SEM results revealed the net effects of the pandemic influence, leisure satisfaction, leisure environment, and community identity on subjective well-being. The fsQCA provided causal methods for realizing subjective well-being and a necessary condition analysis supplemented the necessary antecedents. The results showed that (1) higher levels of pandemic influence and leisure environment increased leisure satisfaction; (2) pandemic influence, leisure environment, and leisure satisfaction had a positive effect on community identity; (3) pandemic influence, leisure satisfaction, and community identity also combined with leisure environment and leisure time to positively influence subjective well-being; and (4) leisure satisfaction and community identity mediated the impacts of pandemic influence and leisure environment on subjective well-being. This paper contributes not only to empirical evidence but also to theory by constructing and enriching the research models of community leisure and subjective well-being. The practical implications for the public, community managers, and policymakers are also discussed.

Association between Perceptions of Personal Income and National Security: Evidence from the Baltic States

The purpose of this investigation is to explore the effect of objective and subjective personal income on perceived national security in the Baltic states, including Lithuania, Latvia, and Estonia. A representative quantitative survey was conducted in three Baltic countries in August 2021. The fieldwork was carried out by the public opinion and market research company Baltic Surveys. The sampling method in the three countries was the same: the probability multi-stage structural method, based on criteria of geographical region, size of settlement, gender, and age. The survey involved more than 1000 respondents per country. Multivariate statistical analysis, including correlation analysis and linear regression analysis was performed. The percentage distribution of the variable on the perception of safety reveals that more than half of the respondents in all Baltic countries agreed that they feel safe living in their own country. Moreover, it is notable that the feeling of safety in Estonia is higher than in the other two countries. Meanwhile, in Lithuania, the evaluation of the feeling of safety is lower than in Estonia and Latvia. The association of the feeling of safety in the country with the subjective perception of income is stronger than the objective income. Additionally, it is important to note that absence of financial difficulties, happiness with current income, and not worrying too much about spending on necessities are the strongest determinants for perceived security in each Baltic country. The findings that have been drawn from this investigation could be applied to ensure both national and economic security and the achievement of the Sustainable Development Goals 2030, such as no poverty (1SDG) and reduced inequalities (10 SDG).

Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint

The ability to objectively measure aspects of performance and behavior is a fundamental pillar of digital health, enabling digital wellness products, decentralized trial concepts, evidence generation, digital therapeutics, and more. Emerging multimodal technologies capable of measuring several modalities simultaneously and efforts to integrate inputs across several sources are further expanding the limits of what digital measures can assess. Experts from the field of digital health were convened as part of a multi-stakeholder workshop to examine the progress of multimodal digital measures in two key areas: detection of disease and the measurement of meaningful aspects of health relevant to the quality of life. Here we present a meeting report, summarizing key discussion points, relevant literature, and finally a vision for the immediate future, including how multimodal measures can provide value to stakeholders across drug development and care delivery, as well as three key areas where headway will need to be made if we are to continue to build on the encouraging progress so far: collaboration and data sharing, removal of barriers to data integration, and alignment around robust modular evaluation of new measurement capabilities.

Well-Being and Entrepreneurship Intention: An Empirical Study of New Perspectives

The research aims to examine the relationships between the constructs of entrepreneurial intention according to the theory of planned behavior (TPB) model and subjective well-being (SW). The model used considers the works proposed by Liñán and Chen and Oyanedel, Vargas, and Paez, and a questionnaire was applied to 1043 people in an urban population of the three main regions of Chile using multivariate statistical methods for its analysis (structural equation models). The proposed hypotheses are that subjective well-being towards entrepreneurship has a direct and positive effect on entrepreneurial intention (H1), personal attitude towards entrepreneurship has a direct and positive effect on entrepreneurial intention (H2), perceived behavioral control towards entrepreneurship has a direct and positive effect on entrepreneurial intention (H3), and subjective norm towards entrepreneurship has a direct and positive effect on entrepreneurial intention (H4). The results indicate that subjective well-being on entrepreneurial intention shows indirect effects mediated by subjective norm, contributing to the theoretical development concerning well-being incidence on entrepreneurial behavior, providing theoretical elements that can serve as a basis for further strengthening the understanding of the relationships between personal well-being, economic growth, and the harmonious relationship with the environment.

Exploring Airbnb Host Wellbeing and Host-Guest Conflicts in Network Hospitality

Despite a plethora of studies examining hosting experiences of Airbnb guests, the wellbeing of hosts has received limited attention. Drawing on both top-down and bottom-up theories of wellbeing, we explore the different ways in which Airbnb enhances or diminishes host wellbeing using a multidimensional lens (material, relational and subjective wellbeing). Data is collected from in-depth interviews with twenty-two Airbnb hosts. We also identify tensions and conflicts in the host-guest relationship using the three interactional hospitality domains of commercial, social and private. Through a deductive process, we find that participating in Airbnb both enhances and diminishes the material, relational and subjective aspects of wellbeing for hosts. Inductively, we find that a lack of territorial boundaries in shared accommodation contribute to conflicts that reduce wellbeing. This exemplifies a tension that exists in the private-commercial domain of network hospitality provision. We provide implications for peer-to-peer accommodation providers on developing the managerial skills of hosts, and helping hosts set realistic expectations around hosting to reduce the conflicts and tensions that arise from the intersectionality of the various Airbnb hospitality domains in such a way that the wellbeing of hosts is enhanced.

Understanding peace through the world news

Peace is a principal dimension of well-being and is the way out of inequity and violence. Thus, its measurement has drawn the attention of researchers, policymakers, and peacekeepers. During the last years, novel digital data streams have drastically changed the research in this field. The current study exploits information extracted from a new digital database called Global Data on Events, Location, and Tone (GDELT) to capture peace through the Global Peace Index (GPI). Applying predictive machine learning models, we demonstrate that news media attention from GDELT can be used as a proxy for measuring GPI at a monthly level. Additionally, we use explainable AI techniques to obtain the most important variables that drive the predictions. This analysis highlights each country's profile and provides explanations for the predictions, and particularly for the errors and the events that drive these errors. We believe that digital data exploited by researchers, policymakers, and peacekeepers, with data science tools as powerful as machine learning, could contribute to maximizing the societal benefits and minimizing the risks to peace.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1140/epjds/s13688-022-00315-z.

The duration of daily activities has no impact on measures of overall wellbeing

It is widely assumed that the longer we spend in happier activities the happier we will be. In an intensive study of momentary happiness, we show that, in fact, longer time spent in happier activities does not lead to higher levels of reported happiness overall. This finding is replicated with different samples (student and diverse, multi-national panel), measures and methods of analysis. We explore different explanations for this seemingly paradoxical finding, providing fresh insight into the factors that do and do not affect the relationship between how happy we report feeling as a function of how long it lasts. This work calls into question the assumption that spending more time doing what we like will show up in making us happier, presenting a fundamental challenge to the validity of current tools used to measure happiness.

Institutional Differences in Individual Wellbeing in China

An imbalanced distribution of income and welfare characterizes a developing or transitional economy such as China’s. Even after forty years of reform and rapid economic growth, there is still considerable disparity in wellbeing across different institutional settings in China. Major inequalities exist between rural and urban areas, public and for profit sectors, and state-owned and private enterprises. This paper presents the descriptive differences in individual wellbeing across these kinds of institutional settings from objective and subjective perspectives, enabled by the five waves of the Chinese General Social Survey (CGSS; the years of 2010, 2011, 2012, 2013 and 2015). The results show that: (1) people in urban China enjoy more objective wellbeing than people in rural China, but less subjective wellbeing; (2) people who work for the public sector enjoy more objective and subjective wellbeing than those for the for profit sector; (3) people who work for the state owned enterprises enjoy more objective wellbeing than those for the for profit sector, but subjective happiness is not significantly different. Furthermore, people’s perception of subjective wellbeing not only relies upon substantive objective wellbeing, but also an affiliation with a certain type of institution.

Design and Implementation of a Smart Home in a Box to Monitor the Wellbeing of Residents With Dementia in Care Homes

There is a global challenge related to the increasing number of People with Dementia (PwD) and the diminishing capacity of governments, health systems, and caregivers to provide the best care for them. Cost-effective technology solutions that enable and ensure a good quality of life for PwD via monitoring and interventions have been investigated comprehensively in the literature. The objective of this study was to investigate the challenges with the design and deployment of a Smart Home In a Box (SHIB) approach to monitoring PwD wellbeing within a care home. This could then support future SHIB implementations to have an adequate and prompt deployment allowing research to focus on the data collection and analysis aspects. An important consideration was that most care homes do not have the appropriate infrastructure for installing and using ambient sensors. The SHIB was evaluated via installation in the rooms of PwD with varying degrees of dementia at Kirk House Care Home in Belfast. Sensors from the SHIB were installed to test their capabilities for detecting Activities of Daily Living (ADLs). The sensors used were: (i) thermal sensors, (ii) contact sensors, (iii) Passive Infrared (PIR) sensors, and (iv) audio level sensors. Data from the sensors were collected, stored, and handled using a 'SensorCentral' data platform. The results of this study highlight challenges and opportunities that should be considered when designing and implementing a SHIB approach in a dementia care home. Lessons learned from this investigation are presented in addition to recommendations that could support monitoring the wellbeing of PwD. The main findings of this study are: (i) most care home buildings were not originally designed to appropriately install ambient sensors, and (ii) installation of SHIB sensors should be adapted depending on the specific case of the care home where they will be installed. It was acknowledged that in addition to care homes, the homes of PwD were also not designed for an appropriate integration with ambient sensors. This study provided the community with useful lessons, that will continue to be applied to improve future implementations of the SHIB approach.

A Deep Gravity model for mobility flows generation

The movements of individuals within and among cities influence critical aspects of our society, such as well-being, the spreading of epidemics, and the quality of the environment. When information about mobility flows is not available for a particular region of interest, we must rely on mathematical models to generate them. In this work, we propose Deep Gravity, an effective model to generate flow probabilities that exploits many features (e.g., land use, road network, transport, food, health facilities) extracted from voluntary geographic data, and uses deep neural networks to discover non-linear relationships between those features and mobility flows. Our experiments, conducted on mobility flows in England, Italy, and New York State, show that Deep Gravity achieves a significant increase in performance, especially in densely populated regions of interest, with respect to the classic gravity model and models that do not use deep neural networks or geographic data. Deep Gravity has good generalization capability, generating realistic flows also for geographic areas for which there is no data availability for training. Finally, we show how flows generated by Deep Gravity may be explained in terms of the geographic features and highlight crucial differences among the three considered countries interpreting the model's prediction with explainable AI techniques.

Ethics of Smart Cities: Towards Value-Sensitive Design and Co-Evolving City Life

The digital revolution has brought about many societal changes such as the creation of “smart cities”. The smart city concept has changed the urban ecosystem by embedding digital technologies in the city fabric to enhance the quality of life of its inhabitants. However, it has also led to some pressing issues and challenges related to data, privacy, ethics inclusion, and fairness. While the initial concept of smart cities was largely technology- and data-driven, focused on the automation of traffic, logistics and processes, this concept is currently being replaced by technology-enabled, human-centred solutions. However, this is not the end of the development, as there is now a big trend towards “design for values”. In this paper, we point out how a value-sensitive design approach could promote a more sustainable pathway of cities that better serves people and nature. Such “value-sensitive design” will have to take ethics, law and culture on board. We discuss how organising the digital world in a participatory way, as well as leveraging the concepts of self-organisation, self-regulation, and self-control, would foster synergy effects and thereby help to leverage a sustainable technological revolution on a global scale. Furthermore, a “democracy by design” approach could also promote resilience.

Entrepreneurial Income and Wellbeing: Women’s Informal Entrepreneurship in a Developing Context

This study examines the impact of women’s entrepreneurial income on wellbeing. Women entrepreneurs (N = 504) from district Mardan, Khyber Pakhtunkhwa, Pakistan participated in the study. ANOVAs and multiple regressions were used to analyze the impact of predictors on the dependent variables (i.e., per capita income, education, health, entertainment, social, household, and other miscellaneous expenditures, investment, savings, and charity). The findings indicated that women’s informal entrepreneurship has a significant role in family, economic, and societal wellbeing. The results contribute to the understanding of women’s entrepreneurial income on individual and family wellbeing. Women’s informal entrepreneurship plays an important role, particularly in the developing world, consistent with the multiplier effect of women entrepreneurs’’ wellbeing. Measures were suggested to empower such women informal, home-based entrepreneurs in view of the United Nations’ Sustainable Development Goals.

Talking to multi-morbid patients about critical illness: an evolving conversation

Conversations around critical illness outcomes and benefits from intensive care unit (ICU) treatment have begun to shift away from binary discussions on living versus dying. Increasingly, the reality of survival with functional impairment versus survival with a late death is being recognised as relevant to patients. Most ICU admissions are associated with new functional and cognitive disabilities that are significant and long lasting. When discussing outcomes, clinicians rightly focus on patients' wishes and the quality of life (QoL) that they would find acceptable. However, patients' views may encompass differing views on acceptable QoL post-critical illness, not necessarily reflected in standard conversations. Maintaining independence is a greater priority to patients than simple survival. QoL post-critical illness determines judgments on the benefits of ICU support but translating this into clinical practice risks potential conflation of health outcomes and QoL. This article discusses the concept of response shift and the implication for trade-offs between number/length of invasive treatments and change in physical function or death. Conversations need to delineate how health outcomes (e.g. tracheostomy, muscle wasting, etc.) may affect individual outcomes most relevant to the patient and hence impact overall QoL. The research strategy taken to explore decision-making for critically ill patients might benefit from gathering qualitative data, as a complement to quantitative data. Patients, families and doctors are motivated by far wider considerations, and a consultation process should relate to more than the simple likelihood of mortality in a shared decision-making context.

A Post-Corona Perspective for Smart Cities: ‘Should I Stay or Should I Go?’

This exploratory essay aims to provide a reflection on the possible implications of the COVID-19 pandemic for urban development and to sketch a plausible picture of the urban future. It serves as an introductory contribution to the Special Issue of this journal on ‘happy and healthy cities’, with particular emphasis on the implications of COVID-19 in pluriform cities. There is no doubt that contemporary cities are growing, and have become more dynamic and crowded. The more people, the bigger the challenges are to manage urban growth and to cope with—and control—density frictions, such as pandemics (e.g., COVID-19). Cities have the task to satisfy the essential needs of many heterogeneous people and to develop appropriate people-based strategies in order to make or keep people happy and healthy. The current COVID-19 disaster is a real urban challenge. The deployment of smart cities’ strategies and the use of digital technology tools in order to capture and provide intelligent internal and external online information and communication opportunities may help cities—in active partnership with their residents (‘smart citizens’ voice’)—to manage shocks and disruptions in the urban system. Clearly, cities are dynamic and adaptive organisms with a high resilience capacity. A key question addressed in this paper is whether urban inhabitants may be inclined to move out of the city due to human health threats, or whether intelligent digital technology tools will be able to overcome the current challenges to the ‘urban way of life’. The paper argues that modern information and communication technology offers a range of opportunities for a healthy city life, so that the COVID-19 pandemic will most likely not lead to a massive demographic outflow from urban agglomerations to less densely populated areas in particular rural areas. Instead, what is called the ‘corona crisis’ may cause just a ripple in the permanent dynamic evolution of cities.

The Impact of School Closure on Adolescents' Wellbeing, and Steps towards to a New Normal: The Need for an Assessment Tool Update?

Close to 200 countries have implemented school closures to decrease the spread of the COVID-19 coronavirus. Though the closures have seemed necessary, their effects on the wellbeing of children and adolescents have raised serious concerns. To truly understand the impact of such disruption on young people's wellbeing, and their views on how to move towards a new normal, we must adopt different approaches to gather the data to secure children's and adolescents' rights to be heard in the issues that concern their lives. Current ways to examine the impacts of school closure have been dominated by gathering information concerning the children and adolescents, using mainly existing wellbeing indicators and related questionnaire surveys. Although such sources of information are important, they provide limited understanding of how children and adolescents have experienced school closures, especially if they have been produced using measures developed purely by adults. There is a need for information produced by children and adolescents themselves, which may require going beyond existing and pre-COVID theoretical wellbeing frameworks. By capturing information produced by children and adolescents, we can more effectively guide the development and evaluation of public health policies and identify solutions to mitigate the negative impacts of school closure, or to acknowledge the possible positive effects, and respond accordingly.

Evaluation of home detection algorithms on mobile phone data using individual-level ground truth

Inferring mobile phone users' home location, i.e., assigning a location in space to a user based on data generated by the mobile phone network, is a central task in leveraging mobile phone data to study social and urban phenomena. Despite its widespread use, home detection relies on assumptions that are difficult to check without ground truth, i.e., where the individual who owns the device resides. In this paper, we present a dataset that comprises the mobile phone activity of sixty-five participants for whom the geographical coordinates of their residence location are known. The mobile phone activity refers to Call Detail Records (CDRs), eXtended Detail Records (XDRs), and Control Plane Records (CPRs), which vary in their temporal granularity and differ in the data generation mechanism. We provide an unprecedented evaluation of the accuracy of home detection algorithms and quantify the amount of data needed for each stream to carry out successful home detection for each stream. Our work is useful for researchers and practitioners to minimize data requests and maximize the accuracy of the home antenna location.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1140/epjds/s13688-021-00284-9.