Measuring Online Wellbeing: A Scoping Review of Subjective Wellbeing Measures

Competing Models of the Structure of Subjective Well-Being: Have All Won and Must All Have Prizes?

OBJECTIVE

The tripartite model of subjective well-being (SWB) posits three components: positive affect, negative affect, and life satisfaction. The fundamental issue regarding the structure of SWB and the meaning of the general SWB factor remains unresolved.

METHODS

Across three studies and six samples (total N = 9304), we evaluated competing models of SWB and tested the criterion-related validity of SWB components operationalized within different models. In addition to a standard confirmatory factor analysis (CFA) and bifactor-CFA, we used exploratory structural equation modeling (ESEM) and bifactor-ESEM approaches. Latent factor models were applied to examine the nomological network of SWB in relation to several external criteria (e.g., positive expectations, depression, and anxiety).

RESULTS

We found evidence supporting the three-factor and bifactor-ESEM models of SWB. The meaning and interpretability of the general and specific factors of SWB were found to depend on the indicators used to assess affective well-being. Several issues concerning the bifactor-CFA model were identified. Both the general and specific factors of SWB exhibited meaningful and interpretable nomological networks.

CONCLUSIONS

The structure of SWB, the value of incorporating a general factor, and the nature of general and specific SWB factors depend on the instruments used to measure SWB.

Measurement of flourishing: a scoping review

Introduction

Flourishing is an evolving wellbeing construct and outcome of interest across the social and biological sciences. Despite some conceptual advancements, there remains limited consensus on how to measure flourishing, as well as how to distinguish it from closely related wellbeing constructs, such as thriving and life satisfaction. This paper aims to provide an overview and comparison of the diverse scales that have been developed to measure flourishing among adolescent and adult populations to provide recommendations for future studies seeking to use flourishing as an outcome in social and biological research.

Methods

In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), we conducted a scoping review across PubMed and EMBASE of studies introducing original flourishing scales (defined as a previously unpublished measure of mental health or wellbeing that used "flourishing" in its definition). Studies focusing on adult populations that were published before April 28, 2023 were considered eligible for inclusion.

Results

Out of 781 studies retrieved, we identified seven eligible studies covering seven unique flourishing scales. We find that all seven scales are multidimensional and assess features over monthly or yearly intervals. While most of the scales (six out of seven) include indicators of both hedonic and eudaimonic wellbeing, the operationalization of these dimensions of wellbeing varies considerably between scales. Several of the scales have been translated and validated across multiple geographical contexts, including higher- and lower-income countries.

Discussion

Complementing self-report measures with other social, economic, regional, and biological indicators of flourishing may be useful to provide holistic and widely applicable measures of wellbeing. This review contributes to concept validation efforts that can guide strategies to sustain flourishing societies.

Wellbeing measures for workers: a systematic review and methodological quality appraisal

Introduction

Increasing attention on workplace wellbeing and growth in workplace wellbeing interventions has highlighted the need to measure workers' wellbeing. This systematic review sought to identify the most valid and reliable published measure/s of wellbeing for workers developed between 2010 to 2020.

Methods

Electronic databases Health and Psychosocial Instruments, APA PsycInfo, and Scopus were searched. Key search terms included variations of [wellbeing OR "well-being"] AND [employee* OR worker* OR staff OR personnel]. Studies and properties of wellbeing measures were then appraised using Consensus-based Standards for the selection of health Measurement Instruments.

Results

Eighteen articles reported development of new wellbeing instruments and eleven undertook a psychometric validation of an existing wellbeing instrument in a specific country, language, or context. Generation and pilot testing of items for the 18 newly developed instruments were largely rated 'Inadequate'; only two were rated as 'Very Good'. None of the studies reported measurement properties of responsiveness, criterion validity, or content validity. The three instruments with the greatest number of positively rated measurement properties were the Personal Growth and Development Scale, The University of Tokyo Occupational Mental Health well-being 24 scale, and the Employee Well-being scale. However, none of these newly developed worker wellbeing instruments met the criteria for adequate instrument design.

Discussion

This review provides researchers and clinicians a synthesis of information to help inform appropriate instrument selection in measurement of workers' wellbeing.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=79044, identifier: PROSPERO, CRD42018079044.

A Scoping Review of Digital Well-Being in Early Childhood: Definitions, Measurements, Contributors, and Interventions

Digital well-being concerns the balanced and healthy use of digital technology, and the existing studies in this area have focused on adolescents and adults. However, young children are more vulnerable to digital overuse and addiction than adults; thus, their digital well-being deserves empirical exploration. In this scoping review, we synthesized and evaluated 35 collected studies on young children's digital use and their associated well-being that were published up to October of 2022 to understand the related definitions, measurements, contributors, and interventions. The synthesis of the evidence revealed that (1) there was no consensus about the definition of the concept of digital well-being; (2) there were no effective ways of measuring young children's digital well-being; (3) both child factors (the duration and place of digital use, as well as the child's demographic characteristics) and parent factors (digital use, parental perception, and mediation) contribute to young children's well-being; and (4) there were some effective applications and digital interventions reported in the reviewed studies. This review contributes to the development of this concept by mapping the existing research on young children's digital well-being, as well as proposing a model and identifying the research gaps for future studies.

Digital self-report instruments for repeated measurement of mental health in the general adult population: a protocol for a systematic review

INTRODUCTION

Digital technologies present tremendous opportunities for enabling long-term measurement of mental health in the general population. Emerging studies have established preliminary efficacy of collecting self-report data digitally. However, a key challenge when developing a new self-report instrument is navigating the abundance of existing instruments to select relevant constructs for measurements. This review is a precursor to developing a novel future integrated digital instrument for repeated measurements. We interrogate the literature as the first step towards optimal measurement of the multifaceted mental health concept, in the context of digital repeated measurement. This review aims to identify (1) digital self-report instruments administered repeatedly to measure the mental health of the general adult population; (2) their structure and format; (3) their psychometric properties; (4) their usage in empirical studies; and (5) the constructs these instruments were designed to measure (as characterised in the original publication), and the constructs the instruments have been used to measure in the identified empirical studies.

METHODS AND ANALYSIS

Five major electronic databases will be searched. Studies administering mental health instruments (in English) repeatedly to community dwellers in the general adult population are eligible. A reviewer will preliminarily screen for eligible studies. Then, two reviewers will independently screen the full text of the eligible articles and extract data. Both reviewers will resolve any disagreement through discussion or with a third reviewer. After the data extraction, a reviewer will manually search for the structure, format, psychometric properties and the original constructs these instruments were developed to measure. This review will synthesise the results in a narrative approach. The reporting in this review will be guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist.

ETHICS AND DISSEMINATION

Ethical approval is not required as no data will be collected. Findings of the systematic review will be disseminated through peer-reviewed publications and conference presentations.

PROSPERO REGISTRATION NUMBER

CRD42022306547.

Social support on Reddit for antiretroviral therapy

Purpose

Social media platforms such as Reddit can be used as a place for people with shared health problems to share knowledge and support. Previous studies have focused on the overall picture of how much social support people who live with HIV/AIDS (PLWHA) receive from online interactions. Yet, only few studies have examined the impact of social support from social media platforms on antiretroviral therapy (ART), which is a necessary lifelong therapy for PLWHA. This study used social support theory to examine related Reddit posts.

Design/methodology/approach

This study used content analysis to analyze ART-related Reddit posts. Each Reddit post was manually coded by two coders for social support type. A computational text analysis tool, Linguistic Inquiry and Word Count, was used to generate linguistic features. ANOVA analyses were conducted to compare differences in user engagement and well-being across the types of social support.

Findings

Results suggest that most of the posts were informational support posts, followed by emotional support posts and instrumental support posts. Results indicate that there are no significant differences within user engagement variables, but there are significant differences within several well-being variables including analytic score, clout score, health words usage and negative emotional words usage among social support types.

Originality/value

This study contributes to further understanding of social support theory in an online context used predominantly by a younger generation. Practical advice for public health researchers and practitioners is discussed.

Regional well-being inequalities arising from healthcare expenditure public policies in Spain

Well-being inequalities arising from different healthcare expenditure public policies is currently a hot topic at a national scale, but especially so at a sub-national level because the inequalities in question are among citizens of the same country. Spain is an optimal study area to carry out research on this topic because it is considered to have one of the best health systems in the world, it is one of the top-ranking countries in terms of life expectancy rates (the indicators we use for well-being), and it has a decentralized public health system with significantly different regional healthcare expenditure public policies. Given that the factors involved in the complex direct, indirect, and second-order relationships between well-being and health spending are latent in nature, and that there are more hypotheses than certainties regarding these relationships, we propose a partial least squares structural equation modeling specification to test the research hypotheses and to estimate the corresponding impacts. These constructs are proxied by a set of 26 indicators, for which annual values at a regional scale were used for the period 2005-2018. From the estimation of this model, it can be concluded that mortality, expenditure and resources are the factors that have the greatest impact on well-being. In addition, a cluster analysis of the indicators for the constructs included in this research reveals the existence of three clearly differentiated groups of autonomous communities: the northern part of the country plus Extremadura (characterized by the lowest well-being and the highest mortality rates), Madrid (with the best results in well-being and mortality, the lowest public health expenditure per inhabitant and percentage of pharmaceutical spending, and the highest percentage in specialty care services and medical staff spending), and the rest of the country (south-eastern regions, with similar well-being values to those of the first group but with less health expenditure). Finally, a principal component analysis reveals that "healthiness" and "basic spending" are the optimal factors for mapping well-being and health spending in Spain.

Personality Traits, Technology-Related Teaching Skills, and Coping Mechanisms as Antecedents of Teachers' Job-Related Affective Well-Being and Burnout in Compulsory and Higher Education Online Teaching Settings

Teachers’ job-related well-being has been affected by the sudden shift to emergency remote online teaching due to the COVID-19 pandemic which has totally reshaped the task performance. Therefore, this study attempts to enlighten the possible reasons for the deterioration in teachers’ job-related well-being and proposes an integrated application of three models of prediction for job-related affective well-being and burnout as teachers’ indicators for the well-being in online teaching settings. The first model includes personality traits (extroversion, neuroticism, and conscientiousness) measured with the revised neuroticism, extroversion, and openness personality inventory (NEO-PI-R). The second model integrates an indispensable skill for the online teaching which is technological pedagogical content knowledge (TPCK) as technology-related teaching skill conceptualized by the TPACK framework. The TPACK model is a technology integration that identifies three types of knowledge instructors need to combine for successful EdTech integration - technological, pedagogical, and content knowledge (i.e., TPACK). The third model, a multidimensional one, includes coping mechanisms (e.g., problem-focused coping, emotion-focused coping, social support coping, and avoidant coping) as mediators in the relationship between personality traits and TPCK on the one side, and job-related well-being indicators on the other side. Findings from regression analyses were used to test the first two models, and the findings from a mediation analysis were used to test the third model to show that teachers’ TPCK explains a significant amount of variance in the job-related affective well-being of the teachers. The analyses also demonstrate that avoidant coping particularly mediates the relation between burnout and job-related affective well-being during COVID-19 school closures. Results indicate the efficacy of the TPACK model in increasing the job-related well-being of the teachers. The analysis of the data led to recommend that teachers should improve their personal technology-related teaching skills and adopt coping strategies in consistent with their personality traits. Moreover, public schools, as organizations, could advance educational technology programs to enhance technology-related teaching skills with the aim of increasing the well-being of their employees in online teaching settings.

Digital Life Data in the Clinical Whitespace

In our increasingly digital world, aspects of our lives are encoded in the routine interactions we have with technology. Over the past few years, psychologists and technologists have been exploring what possibilities these digital life data might hold for improving mental health and well-being. Here I examine some of the recent advances in this field, particularly in the use of language data; consider the ethical and pragmatic implications of this technology; and examine a few areas where I believe these advances could significantly alter the way in which mental health and well-being are approached. This technology holds special promise for providing information about a patient’s life in between clinical encounters, in the clinical whitespace.