Exploring long-term outcomes of a peer support programme for parents* of children with disability in Australia.

Peer support groups can offer parents of children with disability, positive well-being outcomes. Peer support groups not only provide opportunities for connections with others with similar experiences but also provide resources and information, emotional support, a sense of belonging and may help reduce stress and isolation. Peer support groups are an established form of support existing within family centred practice. However, it is unclear whether peer support groups achieve the outcomes that they aim to deliver. Further, little is known about the longer-term outcomes for parents attending such groups. This study aimed to explore the medium- and long-term outcomes and experiences of parents who participated in a peer support programme (the Now and Next programme) for parents of children with disability. Well-being data were collected at three timepoints (Ts): prior to commencing the programme (T1), immediately after completion of the programme (T2) and 6-30 months after completion of the programme (T3). Results of the study showed empowerment and well-being improved from T1 to T2, with gains maintained at T3. Hope scores did not significantly change over time. Participants continued to set and achieve goals over time using resources from the programme. Improvements in parents' well-being and empowerment scores were maintained in the longer-term. Our study contributes to evidence confirming sustained long-term outcomes of peer support programmes and demonstrates that building parent capacity, empowerment and well-being has a lasting effect on the parents of children with disability.

Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods.

Researchers and policy makers worldwide are interested in measuring the subjective well-being of populations. When users post on social media, they leave behind digital traces that reflect their thoughts and feelings. Aggregation of such digital traces may make it possible to monitor well-being at large scale. However, social media-based methods need to be robust to regional effects if they are to produce reliable estimates. Using a sample of 1.53 billion geotagged English tweets, we provide a systematic evaluation of word-level and data-driven methods for text analysis for generating well-being estimates for 1,208 US counties. We compared Twitter-based county-level estimates with well-being measurements provided by the Gallup-Sharecare Well-Being Index survey through 1.73 million phone surveys. We find that word-level methods (e.g., Linguistic Inquiry and Word Count [LIWC] 2015 and Language Assessment by Mechanical Turk [LabMT]) yielded inconsistent county-level well-being measurements due to regional, cultural, and socioeconomic differences in language use. However, removing as few as three of the most frequent words led to notable improvements in well-being prediction. Data-driven methods provided robust estimates, approximating the Gallup data at up to r = 0.64. We show that the findings generalized to county socioeconomic and health outcomes and were robust when poststratifying the samples to be more representative of the general US population. Regional well-being estimation from social media data seems to be robust when supervised data-driven methods are used.

Effectiveness of peer support programmes for improving well-being and quality of life in parents/carers of children with disability or chronic illness: A systematic review.

AIM: This systematic review synthesized quantitative evidence from the past decade of the effectiveness of peer support programmes in improving the well-being and/or quality of life (QoL) for parents/carers of children with disability/chronic illnesses. BACKGROUND: For children with disability or chronic illness, parents/carers are critical in enabling or limiting their child's development. The parent's/carer's ability to provide the necessary responsive and structured care is impacted by several factors, including their own personality, skills, resources and well-being. Peer support programmes often aim to build parent/carer and/or family capabilities. Although studies and reviews have found positive benefits arising from such programmes, the impact of such programmes, specifically on well-being and QoL, is unknown RESULTS: Quantitative studies published between 2011 and 2020 that examined the impact of programmes with a significant peer support component on parental/carer well-being, QoL and/or distress were identified from four databases and were searched and yielded 3605 articles, with 13 articles meeting the inclusion criteria. The results suggested that peer support is effective for reducing distress and improving the well-being and QoL among parents of children with disabilities; however, the evidence is limited by a high risk of bias in the included studies. CONCLUSIONS: Although existing evidence suggests that programmes for parents/carers with a significant peer support component are beneficial for well-being and QoL, rigorous methodologies are needed in the future to gain a better understanding of the benefits of such programmes.

Regional personality assessment through social media language.

OBJECTIVE: We explore the personality of counties as assessed through linguistic patterns on social media. Such studies were previously limited by the cost and feasibility of large-scale surveys; however, language-based computational models applied to large social media datasets now allow for large-scale personality assessment. METHOD: We applied a language-based assessment of the five factor model of personality to 6,064,267 U.S. Twitter users. We aggregated the Twitter-based personality scores to 2,041 counties and compared to political, economic, social, and health outcomes measured through surveys and by government agencies. RESULTS: There was significant personality variation across counties. Openness to experience was higher on the coasts, conscientiousness was uniformly spread, extraversion was higher in southern states, agreeableness was higher in western states, and emotional stability was highest in the south. Across 13 outcomes, language-based personality estimates replicated patterns that have been observed in individual-level and geographic studies. This includes higher Republican vote share in less agreeable counties and increased life satisfaction in more conscientious counties. CONCLUSIONS: Results suggest that regions vary in their personality and that these differences can be studied through computational linguistic analysis of social media. Furthermore, these methods may be used to explore other psychological constructs across geographies.

Social media-predicted personality traits and values can help match people to their ideal jobs.

Work is thought to be more enjoyable and beneficial to individuals and society when there is congruence between one's personality and one's occupation. We provide large-scale evidence that occupations have distinctive psychological profiles, which can successfully be predicted from linguistic information unobtrusively collected through social media. Based on 128,279 Twitter users representing 3,513 occupations, we automatically assess user personalities and visually map the personality profiles of different professions. Similar occupations cluster together, pointing to specific sets of jobs that one might be well suited for. Observations that contradict existing classifications may point to emerging occupations relevant to the 21st century workplace. Findings illustrate how social media can be used to match people to their ideal occupation.

Belonging: A Review of Conceptual Issues, an Integrative Framework, and Directions for Future Research.

OBJECTIVE: A sense of belonging-the subjective feeling of deep connection with social groups, physical places, and individual and collective experiences-is a fundamental human need that predicts numerous mental, physical, social, economic, and behavioural outcomes. However, varying perspectives on how belonging should be conceptualised, assessed, and cultivated has hampered much-needed progress on this timely and important topic. To address these critical issues, we conducted a narrative review that summarizes existing perspectives on belonging, describes a new integrative framework for understanding and studying belonging, and identifies several key avenues for future research and practice. METHOD: We searched relevant databases, including Google Scholar, PubMed, Scopus, PsycInfo, and ClinicalTrials.gov, for articles describing belonging, instruments for assessing belonging, and interventions for increasing belonging. RESULTS: By identifying the core components of belonging, we introduce a new integrative framework for understanding, assessing, and cultivating belonging that focuses on four interrelated components: competencies, opportunities, motivations, and perceptions. CONCLUSION: This integrative framework enhances our understanding of the basic nature and features of belonging, provides a foundation for future interdisciplinary research on belonging and belongingness, and highlights how a robust sense of belonging may be cultivated to improve human health and resilience for individuals and communities worldwide.

Predicting Depression From Language-Based Emotion Dynamics: Longitudinal Analysis of Facebook and Twitter Status Updates.

BACKGROUND: Frequent expression of negative emotion words on social media has been linked to depression. However, metrics have relied on average values, not dynamic measures of emotional volatility. OBJECTIVE: The aim of this study was to report on the associations between depression severity and the variability (time-unstructured) and instability (time-structured) in emotion word expression on Facebook and Twitter across status updates. METHODS: Status updates and depression severity ratings of 29 Facebook users and 49 Twitter users were collected through the app MoodPrism. The average proportion of positive and negative emotion words used, within-person variability, and instability were computed. RESULTS: Negative emotion word instability was a significant predictor of greater depression severity on Facebook (rs(29)=.44, P=.02, 95% CI 0.09-0.69), even after controlling for the average proportion of negative emotion words used (partial rs(26)=.51, P=.006) and within-person variability (partial rs(26)=.49, P=.009). A different pattern emerged on Twitter where greater negative emotion word variability indicated lower depression severity (rs(49)=-.34, P=.01, 95% CI -0.58 to 0.09). Differences between Facebook and Twitter users in their emotion word patterns and psychological characteristics were also explored. CONCLUSIONS: The findings suggest that negative emotion word instability may be a simple yet sensitive measure of time-structured variability, useful when screening for depression through social media, though its usefulness may depend on the social media platform.

Living in the Past, Present, and Future: Measuring Temporal Orientation With Language.

Temporal orientation refers to individual differences in the relative emphasis one places on the past, present, or future, and it is related to academic, financial, and health outcomes. We propose and evaluate a method for automatically measuring temporal orientation through language expressed on social media. Judges rated the temporal orientation of 4,302 social media messages. We trained a classifier based on these ratings, which could accurately predict the temporal orientation of new messages in a separate validation set (accuracy/mean sensitivity = .72; mean specificity = .77). We used the classifier to automatically classify 1.3 million messages written by 5,372 participants (50% female; ages 13-48). Finally, we tested whether individual differences in past, present, and future orientation differentially related to gender, age, Big Five personality, satisfaction with life, and depressive symptoms. Temporal orientations exhibit several expected correlations with age, gender, and Big Five personality. More future-oriented people were older, more likely to be female, more conscientious, less impulsive, less depressed, and more satisfied with life; present orientation showed the opposite pattern. Language-based assessments can complement and extend existing measures of temporal orientation, providing an alternative approach and additional insights into language and personality relationships.

Psychological language on Twitter predicts county-level heart disease mortality.

Hostility and chronic stress are known risk factors for heart disease, but they are costly to assess on a large scale. We used language expressed on Twitter to characterize community-level psychological correlates of age-adjusted mortality from atherosclerotic heart disease (AHD). Language patterns reflecting negative social relationships, disengagement, and negative emotions-especially anger-emerged as risk factors; positive emotions and psychological engagement emerged as protective factors. Most correlations remained significant after controlling for income and education. A cross-sectional regression model based only on Twitter language predicted AHD mortality significantly better than did a model that combined 10 common demographic, socioeconomic, and health risk factors, including smoking, diabetes, hypertension, and obesity. Capturing community psychological characteristics through social media is feasible, and these characteristics are strong markers of cardiovascular mortality at the community level.

Personality, well-being, and health.

A lifespan perspective on personality and health uncovers new causal pathways and provides a deeper, more nuanced approach to interventions. It is unproven that happiness is a direct cause of good health or that negative emotion, worry, and depression are significant direct causes of disease. Instead, depression-related characteristics are likely often reflective of an already-deteriorating trajectory. It is also unproven that challenging work in a demanding environment usually brings long-term health risks; on the contrary, individual strivings for accomplishment and persistent dedication to one's career or community often are associated with sizeable health benefits. Overall, a substantial body of recent research reveals that conscientiousness plays a very significant role in health, with implications across the lifespan. Much more caution is warranted before policy makers offer narrow health recommendations based on short-term or correlational findings. Attention should be shifted to individual trajectories and pathways to health and well-being.

Lifelong pathways to longevity: personality, relationships, flourishing, and health.

Building upon decades of research with the lifelong (nine-decade) Terman Life Cycle Study, we present a life pathway model for understanding human thriving that accounts for long-term individual difference in health and longevity, with a particular focus on child personality and adult social relationships. Developing data derived and supplemented from the Terman study (N = 570 males, 451 females), we employed regression and survival analyses to test models of childhood personality predicting adult psychosocial factors (subjective well-being, family relationships, community involvement, subjective achievement, hardships) and subsequent longevity. Child personality differentially related to midlife social relationships, well-being, and hardships. Conscientiousness and good social relationships predicted longer life, whereas subjective well-being was unrelated to mortality risk. Examining multiple life factors across long time periods uncovers important pathways through which personality relates to premature mortality or longevity. Typical stress-and-illness models are untenable and should be replaced with life span trajectory approaches.

The impact of founder personalities on startup success.

Startup companies solve many of today's most challenging problems, such as the decarbonisation of the economy or the development of novel life-saving vaccines. Startups are a vital source of innovation, yet the most innovative are also the least likely to survive. The probability of success of startups has been shown to relate to several firm-level factors such as industry, location and the economy of the day. Still, attention has increasingly considered internal factors relating to the firm's founding team, including their previous experiences and failures, their centrality in a global network of other founders and investors, as well as the team's size. The effects of founders' personalities on the success of new ventures are, however, mainly unknown. Here, we show that founder personality traits are a significant feature of a firm's ultimate success. We draw upon detailed data about the success of a large-scale global sample of startups (n = 21,187). We find that the Big Five personality traits of startup founders across 30 dimensions significantly differ from that of the population at large. Key personality facets that distinguish successful entrepreneurs include a preference for variety, novelty and starting new things (openness to adventure), like being the centre of attention (lower levels of modesty) and being exuberant (higher activity levels). We do not find one 'Founder-type' personality; instead, six different personality types appear. Our results also demonstrate the benefits of larger, personality-diverse teams in startups, which show an increased likelihood of success. The findings emphasise the role of the diversity of personality types as a novel dimension of team diversity that influences performance and success.

Going within, between and beyond: An exploration of regular Ashtanga Yoga practitioners' conceptualizations of five dimensions of wellbeing.

Yoga is an embodied practice underpinned by philosophical elements, seeking to evolve different dimensions of human existence for optimal functioning in relation to oneself, others and beyond. This mixed-methods research focused on 137 regular Ashtanga Yoga practitioners (AYPs) by investigating their conceptualizations of five dimensions of wellbeing (i.e., physical, emotional, psychological, social, spiritual). Conceptualizations were analysed through word count analysis and Reflexive Thematic Analysis separately for each dimension, yielding four themes in each case, which partly aligned with existing wellbeing and yoga models, and partly extended on the existing literature. Further higher level analysis identified shared meanings across these five dimensions, expressed in themes grouped within five topics (i.e., freedom from and managing suffering, a positive and integrated sense of self, a sense of equanimity and steadiness, the self in relation to others and the world, meta-awareness). Furthermore, it also portrayed each dimension as multileveled, represented in three levels of human functioning. The foundational level encompassed the absence and managing suffering, representing functioning in coping and recovery mode. The optimal functioning level included a positive and integrated sense of self, a sense of equanimity and steadiness, and the self in relation to others and the world, representing functioning in personal development and growth mode. The contemplative and transcendental level involved meta-awareness in every dimension of wellbeing, representing functioning in transpersonal mode. As a result, we propose a preliminary model informed both by this empirical work and previous theories. While the continuousness of themes across dimensions reinforces the importance of embodiment and transcendence in wellbeing frameworks, the notion of the self as a multi-level system could be further explored in relation to knowing about and cultivating wellbeing.

Chinese international students' conceptualizations of wellbeing: A prototype analysis.

Wellbeing can mean different things to different people, even in the same culture with the same language. People living at the intersection of two languages and cultures, such as Chinese students studying in an English-speaking nation, not only speak a different language than their host country, but also may have different conceptualizations of wellbeing itself. This study investigated Chinese international students' (aged 18-39, N = 123) conceptualizations of wellbeing using a modified prototype analysis, which provided insights on people's underlying structure of the construct as revealed through language. Chinese international students' conceptualizations of wellbeing were prototypically structured; key components of wellbeing included positive relationships, security, positivity/optimism, physical health, and self-strength. The findings broaden the understanding of layperson wellbeing conceptualizations, provide insights into the wellbeing related concepts and language that are most used by international Chinese students, and inform strategies that tertiary education institutions might adopt to effectively support Chinese international students' wellbeing.

Identifying and Shifting Disempowering Paradigms for Families of Children With Disability Through a System Informed Positive Psychology Approach.

Despite the emergence of socio-ecological, strength-based, and capacity-building approaches, care for children with disability remains primarily grounded in a deficit-based perspective. Diagnoses and interventions primarily focus on what children and families cannot do, rather than what might be possible, often undermining the competence, mental health, and functioning of both the children and their families. We first critically examine typical approaches to disability care for families of young children, describe the importance of a systems-informed positive psychology (SIPP) approach to care, and identify the existence of two dominant paradigms, disability is a disadvantage and experts know best. Then, we present a case study investigating families' experiences with these two paradigms and whether shifts to alternative perspectives could occur through participation in a SIPP-based program co-designed by professionals and families. Of program participants, nine parents and five early intervention professionals participated in two separate focus groups, and ten e-books were randomly selected for review. Thematic analysis of the e-books and focus group data identified two primary themes representing alternative perspectives that arose through the intervention: we will start with our strengths and we've got this. Participant comments indicated that they developed a greater sense of hope, empowerment, engagement, and wellbeing, enabled by embedding wellbeing concepts and practices in their routines and communications with their children. We suggest that benefits arose in part from the structure of the program and the development of wellbeing literacy in participants. While care needs to be taken in generalizing the results, the case study provides clear examples of shifts in perspectives that occurred and suggests that the incorporation of SIPP principles within early intervention approaches provides a potential pathway for shifting the problematic paradigms that dominate disability care.

Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.

Technology now makes it possible to understand efficiently and at large scale how people use language to reveal their everyday thoughts, behaviors, and emotions. Written text has been analyzed through both theory-based, closed-vocabulary methods from the social sciences as well as data-driven, open-vocabulary methods from computer science, but these approaches have not been comprehensively compared. To provide guidance on best practices for automatically analyzing written text, this narrative review and quantitative synthesis compares five predominant closed- and open-vocabulary methods: Linguistic Inquiry and Word Count (LIWC), the General Inquirer, DICTION, Latent Dirichlet Allocation, and Differential Language Analysis. We compare the linguistic features associated with gender, age, and personality across the five methods using an existing dataset of Facebook status updates and self-reported survey data from 65,896 users. Results are fairly consistent across methods. The closed-vocabulary approaches efficiently summarize concepts and are helpful for understanding how people think, with LIWC2015 yielding the strongest, most parsimonious results. Open-vocabulary approaches reveal more specific and concrete patterns across a broad range of content domains, better address ambiguous word senses, and are less prone to misinterpretation, suggesting that they are well-suited for capturing the nuances of everyday psychological processes. We detail several errors that can occur in closed-vocabulary analyses, the impact of sample size, number of words per user and number of topics included in open-vocabulary analyses, and implications of different analytical decisions. We conclude with recommendations for researchers, advocating for a complementary approach that combines closed- and open-vocabulary methods. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Personality and health, subjective well-being, and longevity.

Personality traits can be employed to guide understanding of trajectories to health and longevity, but long-term longitudinal study and multifaceted assessment of healthy aging are crucial. Following up on the life span study initiated by Lewis Terman, we assessed 4 validated factors of personality in young adulthood in 1940, constructed a multifactor measure of participants' healthy aging in 1986, and collected death certificates through 2007 (to determine longevity) on a sample of 1,312 Terman participants (732 men). Neuroticism predicted worse physical health and subjective well-being in old age and, for women, higher mortality risk, but for men, neuroticism predicted decreased mortality risk. For both sexes, extraversion predicted old-age social competence, whereas conscientiousness predicted men's old-age productivity. Differential patterns of association between personality traits and healthy aging components are informative about individual personality characteristics and long-term health outcomes.

Strengthening University Student Wellbeing: Language and Perceptions of Chinese International Students.

Students at the tertiary education level in Australia are at increased risk of experiencing high levels of psychological distress, with international students at particularly high risk for poor adjustment. As mental health and wellbeing strongly correlate with students' academic performance and general overseas experience, a growing number of studies focus on what universities can do to effectively support students' wellbeing. However, assumptions are made about what wellbeing is, strategies primarily focus on treating mental ill-health, and treatment approaches fail to account for cultural differences. This study aimed to explore how Chinese international students understand wellbeing, the language used about and for wellbeing, and activities that students believe strengthen their own and others' wellbeing. Eighty-four Chinese international students completed the online survey, and a subset of 30 students participated in semi-structured interviews. Data were analysed using thematic, phenomenographic, and language analyses. Physical health and mental health appeared as the key components that participants believed defined wellbeing, and intrapersonal activities were perceived as the primary approach used to strengthen wellbeing. Findings help broaden the understanding of wellbeing concept from the population of tertiary students, identify students' perspectives of activities that strengthen their wellbeing, offer a snapshot of the language used by Chinese students around wellbeing, and provide new data of population health through a wellbeing lens.

The language of well-being: Tracking fluctuations in emotion experience through everyday speech.

The words that people use have been found to reflect stable psychological traits, but less is known about the extent to which everyday fluctuations in spoken language reflect transient psychological states. We explored within-person associations between spoken words and self-reported state emotion among 185 participants who wore the Electronically Activated Recorder (EAR; an unobtrusive audio recording device) and completed experience sampling reports of their positive and negative emotions 4 times per day for 7 days (1,579 observations). We examined language using the Linguistic Inquiry and Word Count program (LIWC; theoretically created dictionaries) and open-vocabulary themes (clusters of data-driven semantically-related words). Although some studies give the impression that LIWC's positive and negative emotion dictionaries can be used as indicators of emotion experience, we found that when computed on spoken language, LIWC emotion scores were not significantly associated with self-reports of state emotion experience. Exploration of other categories of language variables suggests a number of hypotheses about substantive everyday correlates of momentary positive and negative emotion that can be tested in future studies. These findings (a) suggest that LIWC positive and negative emotion dictionaries may not capture self-reported subjective emotion experience when applied to everyday speech, (b) emphasize the importance of establishing the validity of language-based measures within one's target domain, (c) demonstrate the potential for developing new hypotheses about personality processes from the open-ended words that are used in everyday speech, and (d) extend perspectives on intraindividual variability to the domain of spoken language. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Do children's expectations about future physical activity predict their physical activity in adulthood?

BACKGROUND: Much of the population fails to meet recommended physical activity (PA) levels, but there remains considerable individual variation. By understanding drivers of different trajectories, interventions can be better targeted and more effective. One such driver may be a person's physical activity identity (PAI)-the extent to which a person perceives PA as central to who they are. METHODS: Using survey information and a unique body of essays written at age 11 from the National Child Development Study (N = 10 500), essays mentioning PA were automatically identified using the machine learning technique support vector classification and PA trajectories were estimated using latent class analysis. Analyses tested the extent to which childhood PAI correlated with activity levels from age 23 through 55 and with trajectories across adulthood. RESULTS: 42.2% of males and 33.5% of females mentioned PA in their essays, describing active and/or passive engagement. Active PAI in childhood was correlated with higher levels of activity for men but not women, and was correlated with consistently active PA trajectories for both genders. Passive PAI was not related to PA for either gender. CONCLUSIONS: This study offers a novel approach for analysing large qualitative datasets to assess identity and behaviours. Findings suggest that at as young as 11 years old, the way a young person conceptualizes activity as part of their identity has a lasting association with behaviour. Still, an active identity may require a supportive sociocultural context to manifest in subsequent behaviour.