scholarly journals Causal Effects of Well-Being on Health: It's Complicated

2020 ◽  
Author(s):  
Julia Marie Rohrer ◽  
Richard E. Lucas
Keyword(s):  
Boundary Conditions ◽  
Experimental Studies ◽  
Well Being ◽  
Causal Effects ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Common Causes ◽  
Cast Doubt ◽  
Underlying Mechanisms ◽  
Main Effects

In positive psychology and well-being research, subjective well-being is frequently considered a cause of desirable outcomes, such as health. We discuss major conceptual complications that cast doubt on such claims. Well-being and health share a multitude of common causes, and neither cross-sectional, longitudinal, nor experimental studies can identify the effects of interest without strong assumptions that may be deemed implausible. We conclude that the field should rise to the causal inference challenge posed by understanding the main effects of well-being before moving on to more sophisticated claims concerning underlying mechanisms and boundary conditions.

Conflict Avoidance in Old Age

GeroPsych ◽  
2017 ◽  
Vol 30 (2) ◽  
pp. 61-70 ◽  
Author(s):  
Lia Oberhauser ◽  
Andreas B. Neubauer ◽  
Eva-Marie Kessler
Keyword(s):  
Social Support ◽  
Perceived Social Support ◽  
Well Being ◽  
Cross Sectional Study ◽  
Conflict Avoidance ◽  
Subjective Well Being ◽  
Sectional Study ◽  
Cross Sectional ◽  
Adult Lifespan ◽  
Set Up

Abstract. Conflict avoidance increases across the adult lifespan. This cross-sectional study looks at conflict avoidance as part of a mechanism to regulate belongingness needs ( Sheldon, 2011 ). We assumed that older adults perceive more threats to their belongingness when they contemplate their future, and that they preventively react with avoidance coping. We set up a model predicting conflict avoidance that included perceptions of future nonbelonging, termed anticipated loneliness, and other predictors including sociodemographics, indicators of subjective well-being and perceived social support (N = 331, aged 40–87). Anticipated loneliness predicted conflict avoidance above all other predictors and partially mediated the age-association of conflict avoidance. Results suggest that belongingness regulation accounts may deepen our understanding of conflict avoidance in the second half of life.

scholarly journals Individual differences and changes in lifestyle behaviours predict decreased subjective well-being during COVID-19 restrictions in an Australian sample

2021 ◽  
Author(s):  
Emily Brindal ◽  
Jillian C Ryan ◽  
Naomi Kakoschke ◽  
Sinead Golley ◽  
Ian T Zajac ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Individual Differences ◽  
Online Survey ◽  
Protective Factor ◽  
Health Behaviours ◽  
Well Being ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Social Distancing ◽  
Australian Sample

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.

scholarly journals Factors beyond Workplace Matter: The Effect of Family Support and Religious Attendance on Sustaining Well-Being of High-Technology Employees

Healthcare ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 602
Author(s):  
Ing-Chung Huang ◽  
Pey-Lan Du ◽  
Long-Sheng Lin ◽  
Tsai-Fei Lin ◽  
Shu-Chun Kuo
Keyword(s):  
Family Support ◽  
Work Engagement ◽  
Spillover Effect ◽  
High Technology ◽  
Well Being ◽  
Moderating Effect ◽  
Religious Attendance ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Support Work

Background: Apart from the workplace, drawing support from family and religion is critical to maintaining the well-being of high-technology employees. Relying on the job demands-resources model and the positive affective spillover effect, the aim of this study was to investigate the mediated relationship of family support, work engagement and subjective well-being, and the moderating effect of religious attendance on the mediated relationship. Methods: A cross-sectional research design was adopted. Mediation and moderated mediation were tested using the PROCESS macro v3.5 for the SPSS supplement. Purposive sampling was used for the distribution of questionnaires to high-technology employees in Taiwan. Results: Results from the data of 603 high-technology employees indicated that family support, work engagement, and subjective well-being exhibited a significant mediated relationship, and the mediated relationship was stronger among individuals with religious attendance experience. Conclusions: This study emphasizes the driving effect of family support on high-technology employee well-being and the moderating effect of religious attendance as a situational strength. We recommend closely attending to employee well-being because doing so is conducive to both the personal quality of life of employees and the sustainable development of organizations.

Public Sector Employment, Quality of Government, and Well-Being: A Global Analysis

2021 ◽  
pp. 223386592110117
Author(s):  
Robert Davidson ◽  
Alexander Pacek ◽  
Benjamin Radcliff
Keyword(s):  
Public Sector ◽  
Global Analysis ◽  
Well Being ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Political Factors ◽  
The Public ◽  
Employment Quality ◽  
The Impact

While a growing literature within the study of subjective well-being demonstrates the impact of socio-political factors on subjective well-being, scholars have conspicuously failed to consider the role of the size and scope of government as determinants of well-being. Where such studies exist, the focus is largely on the advanced industrial democracies of the Organization for Economic Co-Operation and Development. In this study, we examine the size of the public sector as a determinant of cross-national variation in life satisfaction across a worldwide sample. Our findings strongly suggest that as the public sector grows, subjective well-being increases as well, conditional on the extent of quality of government. Using cross-sectional data on 84 countries, we show this relationship has an independent and separable impact from other economic and political factors.

scholarly journals PHYSIOLOGY OF SUCCESSFUL AGING: IMPLICATIONS FOR HEALTH AND WELL-BEING

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S434-S434
Author(s):  
Konstantinos Mantantzis ◽  
Denis Gerstorf ◽  
Thomas M Hess
Keyword(s):  
Older Adults ◽  
Successful Aging ◽  
Well Being ◽  
Empathic Accuracy ◽  
Future Research ◽  
Subjective Well Being ◽  
Use Of Data ◽  
Aging Study ◽  
Underlying Mechanisms ◽  
Relationship Factors

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.

scholarly journals Cross-Sectional Model-Building for Research on Subjective Well-Being: Gaining Clarity on Control Variables

2021 ◽  
Author(s):  
David Bartram
Keyword(s):  
Model Building ◽  
Well Being ◽  
Directed Acyclic Graphs ◽  
Subjective Well Being ◽  
Social Scientists ◽  
Cross Sectional ◽  
Acyclic Graphs ◽  
Standard Set ◽  
Substantial Bias ◽  
Parsimonious Model

AbstractHappiness/well-being researchers who use quantitative analysis often do not give persuasive reasons why particular variables should be included as controls in their cross-sectional models. One commonly sees notions of a “standard set” of controls, or the “usual suspects”, etc. These notions are not coherent and can lead to results that are significantly biased with respect to a genuine causal relationship.This article presents some core principles for making more effective decisions of that sort.  The contribution is to introduce a framework (the “causal revolution”, e.g. Pearl and Mackenzie 2018) unfamiliar to many social scientists (though well established in epidemiology) and to show how it can be put into practice for empirical analysis of causal questions.  In simplified form, the core principles are: control for confounding variables, and do not control for intervening variables or colliders.  A more comprehensive approach uses directed acyclic graphs (DAGs) to discern models that meet a minimum/efficient criterion for identification of causal effects.The article demonstrates this mode of analysis via a stylized investigation of the effect of unemployment on happiness.  Most researchers would include other determinants of happiness as controls for this purpose.  One such determinant is income—but income is an intervening variable in the path from unemployment to happiness, and including it leads to substantial bias.  Other commonly-used variables are simply unnecessary, e.g. religiosity and sex.  From this perspective, identifying the effect of unemployment on happiness requires controlling only for age and education; a small (parsimonious) model is evidently preferable to a more complex one in this instance.

The Functional Recovery Scale in Schizophrenia (FRSS): Relationship to panss

2011 ◽  
Vol 26 (S2) ◽  
pp. 2073-2073
Author(s):  
P.-M. Llorca ◽  
L. Samalin ◽  
O. Blanc ◽  
Keyword(s):  
Social Functioning ◽  
Functional Recovery ◽  
Educational Level ◽  
Latent Variable ◽  
Negative Symptoms ◽  
Treatment Strategies ◽  
Well Being ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Quality Of Life Scale

Schizophrenia is a severe and disabling disorder, which affects multiple functional domains adversely.Several factors like premorbid functioning and psychopathological symptoms can affect functional outcome. Residual psychopathology after an acute exacerbation has a variable influence, going from a weak correlation to positive symptoms to clear association of negative symptoms with reduced social functioning to widespread influence of cognitive symptoms.We performed a cross-sectional evaluation in a sample of 296 schizophrenic patients for demographic, functional characteristics (using different scales: Functional Recovery Scale in Schizophrenia (FRSS), Subjective Well-being Scale (SWN-K), Quality of Life Scale (QLS)) and symptomatic (using the Positive and Negative Syndrome Scale (PANSS)). Exploratory multivariate analyses were conducted and a model with “functioning” as a latent variable was proposed and tested. Results: Using the 5 clinical dimensions of the PANSS, negative, cognitive and excitation factors are significant predictors of functioning. The model was constructed with “functioning” defined as a latent variable; indicators are sub-scores on FRSS, SWN-K, QLS and exogenous variables included symptomatology, Duration of Untreated Psychosis and educational level. The negative and cognitive dimensions are highly correlated via the latent variable to the 3 dimensions of functioning evaluated by the FRSS: “daily life”, “social functioning” and “treatment” and the QLS sub-scores (“interpersonal”, “common object”, “instrumental role”). Educational level is significantly linked to functioning but not DUP. The model emphasizes the need for treatment strategies that have an effect on negative and cognitive factors, to improve functioning in schizophrenia.

scholarly journals Prevalence of Multimorbidity of Chronic Noncommunicable Diseases in Brazil: Population-Based Study (Preprint)

2021 ◽  
Author(s):  
Xin Shi ◽  
Simone Maria da Silva Lima ◽  
Caroline Maria de Miranda Mota ◽  
Ying Lu ◽  
Randall S Stafford ◽  
...  
Keyword(s):  
Chronic Diseases ◽  
Household Survey ◽  
Well Being ◽  
National Sample ◽  
Population Based ◽  
Community Services ◽  
Noncommunicable Diseases ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Multiple Chronic Diseases

BACKGROUND Multimorbidity is the co-occurrence of two or more chronic diseases. OBJECTIVE This study, based on self-reported medical diagnosis, aims to investigate the dynamic distribution of multimorbidity across sociodemographic levels and its impacts on health-related issues over 15 years in Brazil using national data. METHODS Data were analyzed using descriptive statistics, hypothesis tests, and logistic regression. The study sample comprised 679,572 adults (18-59 years of age) and 115,699 elderly people (≥60 years of age) from the two latest cross-sectional, multiple-cohort, national-based studies: the National Sample Household Survey (PNAD) of 1998, 2003, and 2008, and the Brazilian National Health Survey (PNS) of 2013. RESULTS Overall, the risk of multimorbidity in adults was 1.7 times higher in women (odds ratio [OR] 1.73, 95% CI 1.67-1.79) and 1.3 times higher among people without education (OR 1.34, 95% CI 1.28-1.41). Multiple chronic diseases considerably increased with age in Brazil, and people between 50 and 59 years old were about 12 times more likely to have multimorbidity than adults between 18 and 29 years of age (OR 11.89, 95% CI 11.27-12.55). Seniors with multimorbidity had more than twice the likelihood of receiving health assistance in community services or clinics (OR 2.16, 95% CI 2.02-2.31) and of being hospitalized (OR 2.37, 95% CI 2.21-2.56). The subjective well-being of adults with multimorbidity was often worse than people without multiple chronic diseases (OR=12.85, 95% CI: 12.07-13.68). These patterns were similar across all 4 cohorts analyzed and were relatively stable over 15 years. CONCLUSIONS Our study shows little variation in the prevalence of the multimorbidity of chronic diseases in Brazil over time, but there are differences in the prevalence of multimorbidity across different social groups. It is hoped that the analysis of multimorbidity from the two latest Brazil national surveys will support policy making on epidemic prevention and management.

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