scholarly journals How to tell a happy person: Accuracy of subjective well-being perception from texts

2019 ◽  
Vol 44 (4) ◽  
pp. 597-607 ◽  
Author(s):  
Olga Stavrova ◽  
Lena Haarmann

Abstract Although perceptions of subjective well-being (SWB) in unacquainted others have been shown to play a major role in impression formation, little is known about how accurate such perceptions are. In two original studies and one pre-registered replication, we explored the accuracy of life satisfaction and happiness judgments from texts and its underlying mechanisms (use of linguistic cues). Participants filled in life satisfaction and happiness measures and completed a brief writing task. Another sample of participants judged the targets’ life satisfaction and happiness from the obtained texts. All three studies demonstrated a small to moderate self-other agreement. A linguistic analysis showed that targets with higher (vs. lower) scores on SWB were less likely to use negation words in their texts, which allowed observers to make accurate judgment of their SWB level. Two studies pointed at negative emotion words as valid and positive emotion words as invalid (but often used) cues to happiness, yet these effects did not replicate in Study 3.

Author(s):  
Arnstein Aassve ◽  
Francesca Luppi ◽  
Letizia Mencarini

AbstractThe vast majority of studies looking into the relationship between childbearing and subjective well-being use overall measures where respondents either report their general level of happiness or their life satisfaction, leaving substantial doubt about the underlying mechanisms. However, life satisfaction and happiness are intuitively multidimensional concepts, simply because there cannot be only one aspect that affects individuals' well-being. In this study, by considering seventeen specific life satisfaction domains, these features come out very clearly. Whereas all the domains considered matter for the overall life satisfaction, only three of them, namely satisfaction with leisure, health and satisfaction with the partnership, change dramatically surrounding childbearing events. Even though we cannot generalise (since these results stem from one particular panel survey, i.e., Household Income and Labour Dynamics in Australia data), it appears that the typical anticipation and post-child decrease of life satisfaction, so often found in existing studies, stems from changes in these three domains.


Author(s):  
Emily Brindal ◽  
Jillian C Ryan ◽  
Naomi Kakoschke ◽  
Sinead Golley ◽  
Ian T Zajac ◽  
...  

Abstract Background Due to the coronavirus disease 2019 (COVID-19) pandemic, social distancing practices were introduced to curb infection rates in many countries. The purpose of this study was to assess the effects of these restrictions on behaviours and well-being and whether individual differences predict changes in well-being. Methods Australian adults participated in a cross-sectional, online survey during May 2020. The survey captured demographic information; health behaviours; personality traits; life satisfaction and COVID-19-related attitudes, financial concerns, perceived risks and impacts. Results In total, 3745 (86.8% of 4313) participants completed all items. Participants were mostly female (85.7%) and 56.4 years (standard deviation [SD] = 12.6) on average. Over 95.0% of the sample indicated they had been social distancing or isolating. Health behaviours and well-being had generally worsened, with social connections being the most negatively affected. Life satisfaction was significantly lower since restrictions. For changes in life satisfaction, extroversion was a risk factor and openness to experience was a protective factor. Conclusions Overall, well-being was negatively impacted by the COVID-19 pandemic and associated social distancing particularly in this sample containing mainly older women. In future, it will be crucial to understand why and who may be differentially affected, to encourage behaviours that are protective of well-being.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 319-320
Author(s):  
Xiaoyan Zhang ◽  
Merril Silverstein

Abstract China is experiencing a large increase in elderly population. In 2019, China’s population aged 60 and above had reached 253 million, accounting for 18.1% of the total population (National Bureau of Statistics of China, 2020). By 2050, the number of adults aged 60+ would be up to 430 million, reaching one third of the total population (Du, Zhai & Chen, 2005). Considering such a rapid aging process and the existing large number of older adults in China, it becomes imperative to investigate how psychosocial factors affect this group’s subjective well-being. This study proposed that, among older adults, higher support received from each of the three relational sources (adult children, family and friends) were associated with reduced loneliness and improved well-being. Structural equation modeling was conducted using a sample of rural adults aged 60 and older (N= 1142) from the 2018 wave of data from the Longitudinal Study of Older Adults in Anhui Province, China. Findings indicated that support from adult children directly and indirectly decreased older adults’ depression and improved their life satisfaction through loneliness; while support from family members directly decreased depression but did not directly improve life satisfaction or indirectly improve well-being through loneliness. Although support from friends did not have a significant impact on older adults’ well-being, it indirectly improved well-being through reduced loneliness. Findings have implications for programs or interventions targeting both parent -adult-child support and friends support and reducing rural older adults’ loneliness.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Takashi Oshio ◽  
Hiromi Kimura ◽  
Toshimi Nishizaki ◽  
Takashi Omori

Abstract Background Area-level deprivation is well known to have an adverse impact on mortality, morbidity, or other specific health outcomes. This study examined how area-level deprivation may affect self-rated health (SRH) and life satisfaction (LS), an issue that is largely understudied. Methods We used individual-level data obtained from a nationwide population-based internet survey conducted between 2019 and 2020, as well as municipality-level data obtained from a Japanese government database (N = 12,461 living in 366 municipalities). We developed multilevel regression models to explain an individual’s SRH and LS scores using four alternative measures of municipality-level deprivation, controlling for individual-level deprivation and covariates. We also examined how health behavior and interactions with others mediated the impact of area-level deprivation on SRH and LS. Results Participants in highly deprived municipalities tended to report poorer SRH and lower LS. For example, when living in municipalities falling in the highest tertile of municipality-level deprivation as measured by the z-scoring method, SRH and LS scores worsened by a standard deviation of 0.05 (p < 0.05) when compared with those living in municipalities falling in the lowest tertile of deprivation. In addition, health behavior mediated between 17.6 and 33.1% of the impact of municipality-level deprivation on SRH and LS, depending on model specifications. Conclusion Results showed that area-level deprivation modestly decreased an individual’s general health conditions and subjective well-being, underscoring the need for public health policies to improve area-level socioeconomic conditions.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S434-S434
Author(s):  
Konstantinos Mantantzis ◽  
Denis Gerstorf ◽  
Thomas M Hess

Abstract Research into peripheral physiology and its association with cognition, emotionality, and social/physical functioning has received considerable attention over the years. However, many of the underlying mechanisms are not well understood. In this symposium, we have compiled a set of four empirical projects that showcase current and future endeavors to address some of the long-standing questions about when, how, and why physiology shapes and is shaped by key psychosocial resources. Hawkley et al. make use of data from the NSHAP and HRS longitudinal studies to investigate whether social relationships such as number of friends predicts risk of diabetes among older adults. Wilson et al. use dyadic data from young and middle-aged couples to examine cardiometabolic similarity among spouses, and how such concordance is shaped by key relationship factors such as emotional closeness. Pauly et al. use data from two daily-life studies of older couples to investigate how physiological synchrony in cortisol is modulated by partner interactions, empathy, and empathic accuracy. Finally, Mantantzis et al. make use of multi-year longitudinal data from the Berlin Aging Study II to examine the role of glucose regulation capacity for trajectories of subjective well-being among older adults. Thomas Hess will discuss the importance of these papers, discuss strengths and weaknesses of the approaches chosen, and consider implications for future research.


2016 ◽  
Vol 32 (3) ◽  
pp. 803 ◽  
Author(s):  
Americo Baptista ◽  
Cristina Camilo ◽  
Isabel Santos ◽  
Jose De Almeida Brites ◽  
Joana Brites Rosa ◽  
...  

<p><span lang="EN-GB">The study of happiness was dominated with the model of subjective well-being. With the advent of positive psychology the eudaimonic and hedonic models entered the field, but major surveys continue to use single-item measures of life satisfaction or happiness. We study the associations between life satisfaction and happiness, measured single-items with a graphic representation of a ladder and a thermometer, and three models of happiness: the subjective well-being, the eudaimonic and hedonic. The results showed that subjective well-being was the main predictor of life satisfaction and hedonic model also predicted a small amount of this variable. For happiness the predictors were the same but in reversed order, the main predictor was the hedonic model and a small variance was explained by subjective well-being. Contrary to our hypothesis the eudaimonic perspective of happiness was not a predictor in none of the models. These results underline the importance of the interaction between a cognitive or appraisal perspective and the hedonic perspectives for the study of happiness.</span></p>


2021 ◽  
Vol 13 (2) ◽  
pp. 72
Author(s):  
Lina Martínez ◽  
Valeria Trofimoff ◽  
Isabella Valencia

COVID-19 pandemic is harming many social and economic spheres beyond physical health. The subjective well-being of the population (positive emotions and life satisfaction) and the prevalence of stressors affecting good mental health like worry, depression, and anxiety are increasing worldwide. This analysis presents evidence of subjective well-being and mental health in Colombia, South America, during the current crisis. The data for this analysis comes from an online survey released after one month of quarantine. In total, 941 adults participated in the study. Results show that women are more affected by their well-being and experience more often worry, depression, and anxiety than males. In particular, younger women and from the lower socioeconomic strata. Respondents identify three primary concerns because of the pandemic: i) financial consequences, ii) health (personal and loved one&#39;s health), and iii) productivity. Respondents are, on average, more concerned for the health of loved ones than their health. 49% of study participants report having an income reduction as a consequence of the pandemic, but women in all subgroups analyzed are more affected than males. In terms of productivity &ndash;working remotely-, educated people, and from 50+ age range, feels more productive working from home. Evidence from this analysis contributes to the broader research of the consequences of COVID-19 on the well-being of the population. Evidence comes from a country in the global South with high population ratings of subjective well-being, happiness, and life satisfaction before the pandemic.&nbsp;


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