scholarly journals Residential environment and subjective well-being in Beijing: A fine-grained spatial scale analysis using a bivariate response binomial multilevel model

2017 ◽  
Vol 46 (4) ◽  
pp. 648-667 ◽  
Author(s):  
Yunxiao Dang ◽  
Guanpeng Dong ◽  
Yu Chen ◽  
Kelvyn Jones ◽  
Wenzhong Zhang

Existing literature has examined the determinants of subjective well-being in China from the social, economic and psychological perspectives. Very few studies explore the impacts of residential environment on subjective well-being. Drawing on a large scale questionnaire survey in Beijing, this paper investigates the role of residential environment by decomposing the variations of subjective well-being at fine-grained spatial scales, i.e. district and neighbourhood levels. A bivariate response binomial multilevel model is employed to assess the relative importance of geographical contexts and individual characteristics, in particular, the household registration (hukou) status, in influencing subjective well-being. The results show significant heterogeneities in subjective well-being among districts and neighbourhoods. Neighbourhood types are significantly correlated with subjective well-being, with residents in commercial housing neighbourhoods reporting higher levels of subjective well-being than those in work-unit and affordable housing neighbourhoods. However, the impacts of neighbourhood types are not uniformly experienced by people with different hukou status. Migrants tend to express lower levels of subjective well-being than local residents. Such disparities are more pronounced in urban villages compared with other neighbourhoods.


Urban Studies ◽  
2016 ◽  
Vol 54 (7) ◽  
pp. 1692-1714 ◽  
Author(s):  
Yafei Liu ◽  
Martin Dijst ◽  
Stan Geertman

As a rapidly ageing population becomes an increasingly serious social challenge for Chinese megacities, issues affecting older adults’ subjective well-being (SWB) attract greater concern. However, it is difficult to gain a comprehensive understanding of older adults’ SWB, since most SWB theories focus only on specific factors. Moreover, residential environmental factors are hardly considered in studies of older adults’ SWB. In this paper we therefore investigate the effects of residential environment and individual resources on the SWB of older adults in Shanghai, using the integrative theoretical framework proposed by Lindenberg. We investigate the relationships between resources (residential environment and individual resources), needs satisfaction and SWB using multiple regression analysis. Our results show that the residential environment exerts a stronger impact on SWB than individual resources. Good quality residential building, good accessibility to medical and financial facilities, higher economic status of a neighbourhood, and a lower proportion of older adults in a neighbourhood are important environmental correlates of SWB. Health appears to be the most significant individual resource; other important individual resources include household income, a high-skilled occupation, a job in the public sector and living with grandchildren. Comfort is the most important basic need for older adults.



2021 ◽  
Vol 12 ◽  
Author(s):  
Lotta K. Harju ◽  
Joonas Rokka ◽  
Maíra Magalhães Lopes ◽  
Massimo Airoldi ◽  
Karine Raïes

The coronavirus pandemic, social distancing, and lockdown measures have had an impact on employee well-being. This study uses Latent Profile Analysis to examine subjective well-being among employees during the first lockdown based on a cross-national survey in UK and France (n = 652). We identify five distinct well-being profiles, namely Moderately positive (67%), Languishing (18%), Flourishing (8%), Mixed feelings (4%), and Apathetic (3%). The results showed that while some employees were suffering, others managed to thrive and cope with the stresses of the lockdown. We also found that the profiles could be distinguished by perceived changes in financial situation and physical health as well as experienced boredom. Our study complements prior studies that examine the relations between individual characteristics and well-being during the pandemic on a general level by showing that employee well-being under lockdown is not the same across the board.



BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e031963
Author(s):  
Laura Lauwers ◽  
Sonia Trabelsi ◽  
Ingrid Pelgrims ◽  
Hilde Bastiaens ◽  
Eva De Clercq ◽  
...  

IntroductionMental health issues appear as a growing problem in modern societies and tend to be more frequent in big cities. Where increased evidence exists for positive links between nature and mental health, associations between urban environment characteristics and mental health are still not well understood. These associations are highly complex and require an interdisciplinary and integrated research approach to cover the broad range of mitigating factors. This article presents the study protocol of a project called Nature Impact on Mental Health Distribution that aims to generate a comprehensive understanding of associations between mental health and the urban residential environment.Methods and analysisFollowing a mixed-method approach, this project combines quantitative and qualitative research. In the quantitative part, we analyse among the Brussels urban population associations between the urban residential environment and mental health, taking respondents’ socioeconomic status and physical health into account. Mental health is determined by the mental health indicators in the national Health Interview Survey (HIS). The urban residential environment is described by subjective indicators for the participant’s dwelling and neighbourhood present in the HIS and objective indicators for buildings, network infrastructure and green environment developed for the purpose of this project. We assess the mediating role of physical activity, social life, noise and air pollution. In the qualitative part, we conduct walking interviews with Brussels residents to record their subjective well-being in association with their neighbourhood. In the validation part, results from these two approaches are triangulated and evaluated through interviews and focus groups with stakeholders of healthcare and urban planning sectors.Ethics and disseminationThe Privacy Commission of Belgium and ethical committee from University Hospital of Antwerp respectively approved quantitative database merging and qualitative interviewing. We will share project results with a wide audience including the scientific community, policy authorities and civil society through scientific and non-expert communication.



2016 ◽  
Vol 21 ◽  
pp. 258-269 ◽  
Author(s):  
Rosalind Bryce ◽  
Katherine N. Irvine ◽  
Andrew Church ◽  
Robert Fish ◽  
Sue Ranger ◽  
...  


2020 ◽  
pp. 004728752096638
Author(s):  
Grace B. Yu ◽  
M. Joseph Sirgy ◽  
Michael Bosnjak

Despite growing interest in experience sharing among leisure travelers, there is still limited research concerning the role of travel experience sharing on leisure traveler’s life satisfaction. The main objective of this research is to test the moderation effects of experience sharing during and after leisure travel on the bottom-up spillover process of tourists’ leisure travel satisfaction–life satisfaction hierarchy. The positive effect of holiday trip motivation fulfillment on overall holiday trip satisfaction is hypothesized to be amplified by on-site experience sharing (e.g., uploading holiday pictures or videos to social media platforms while traveling). Also, the positive effect of holiday trip satisfaction on holiday travelers’ subjective well-being is hypothesized to be amplified by posttrip experience sharing (e.g., publishing blog posts or travel reports online post trip). We used data from a large-scale social survey in Germany (N = 2,198) and the results confirmed the hypotheses. Theoretical and managerial implications are discussed.



Author(s):  
A. V. Khavylo ◽  
◽  
M. S. Sittseva ◽  
I. I. Eremina ◽  
◽  
...  

The article is concerned with the study of satisfaction with a body image as a component of subjective well-being of a person, and the analysis of interconnection of these phenomena. The sampling included 560 people aged from 16 to 42. The study used “the Scale of Satisfaction with Living Standards”, “the Scale of a Positive Affect and a Negative Affect”, “the Scale of Subjective Happiness”, “the Scale of Satisfaction with One’s Own Body”, and “the Body Image Inventory”. The study has revealed that satisfaction with one’s own body and its parts has a positive impact on the level of subjective well-being of men and women; satisfaction with body parts influences dissatisfaction with one’s own body on the whole with varied degree in both groups. There are differences in the connection of individual characteristics with satisfaction with one’s own body and the elements of subjective well-being of men and women.



Author(s):  
Clémence Kieny ◽  
Gabriela Flores ◽  
Michael Ingenhaag ◽  
Jürgen Maurer

Abstract This study assesses the relationship between age and two dimensions of subjective well-being—evaluative and emotional—among mature adults from five low-and middle-income countries. We use data from the World Health Organization’s Study on Global AGEing and Adult Health to contrast the associations of age with subjective well-being when controlling only for gender with the corresponding partial associations when including a richer set of covariates. Adjusting only for gender, we find negative associations of age with evaluative well-being, while the corresponding age gradients for emotional well-being are relatively flat. By contrast, adjusting for further socio-demographic factors results in positive associations of age with both evaluative and emotional well-being. Oaxaca-Blinder decompositions allow us to explore the roles of two factors to account for any unadjusted age differences in subjective well-being: age-group differences in individual characteristics and life circumstances, and age-specific associations of individual characteristics and life circumstances with subjective well-being. While adverse circumstances such as poor health and low income contribute to lower levels of evaluative well-being among older adults, age per se is—ceteris paribus—positively associated with subjective well-being. Even in poorer countries, older age does not need to be a time of low subjective well-being. Policies aimed at preserving income and limiting or compensating old-age disability appear to be key for maintaining subjective well-being among older adults.



Information ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 301
Author(s):  
Aisha Muhammad Abdullahi ◽  
Rita Orji ◽  
Abdullahi Abubakar Kawu

(1) Background: Subjective well-being (SWB) is an individual’s judgment about their overall well-being. Research has shown that high subjective well-being contributes to overall health. SWB consists of both Affective and Cognitive dimensions. Existing studies on SWB are limited in two major ways: first, they focused mainly on the Affective dimension. Second, most existing studies are focused on individuals from the Western and Asian nations; (2) Methods: To resolve these weaknesses and contribute to research on personalizing persuasive health interventions to promote SWB, we conducted a large-scale study of 732 participants from Nigeria to investigate what factors affect their SWB using both the Affective and Cognitive dimensions and how distinct SWB components relates to different gender and age group. We employed the Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) to develop models showing how gender and age relate to the distinct components of SWB; (3) Results: Our study reveals significant differences between gender and age groups. Males are more associated with social well-being and satisfaction with life components while females are more associated with emotional well-being. As regards age, younger adults (under 24) are more associated with social well-being and happiness while older adults (over 65) are more associated with psychological well-being, emotional well-being, and satisfaction with life. (4) Conclusions: The results could inform designers of the appropriate SWB components to target when personalizing persuasive health interventions to promote overall well-being for people belonging to various gender and age groups. We offer design guidelines for tailoring persuasive intervention to increase SWB based on an individual’s age and gender group. Finally, we map SWB components to possible persuasive technology design strategies that can be employed to implement them in persuasive interventions design.



Marine Policy ◽  
2019 ◽  
Vol 106 ◽  
pp. 103559
Author(s):  
Zuzy Anna ◽  
Arief A. Yusuf ◽  
Armida S. Alisjahbana ◽  
Aisyah A. Ghina ◽  
Rahma


2020 ◽  
Vol 117 (19) ◽  
pp. 10165-10171 ◽  
Author(s):  
Kokil Jaidka ◽  
Salvatore Giorgi ◽  
H. Andrew Schwartz ◽  
Margaret L. Kern ◽  
Lyle H. Ungar ◽  
...  

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.



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