scholarly journals Set points of positivity ratio for different levels of well-being: A latent profile analysis

2017 ◽  
Vol 20 (3-4) ◽  
pp. 211-220 ◽  
Author(s):  
Shi-Min Chen ◽  
Liang Gao ◽  
Ying Zhang ◽  
Pei-Zhen Sun
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Well Being ◽  
Positivity Ratio ◽  
Different Levels ◽  
Latent Profile

scholarly journals Classification of Mental Health among Korean Vietnam War Veterans: A Latent Profile Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 637-637
Author(s):  
Hyunyup Lee ◽  
Carolyn Aldwin ◽  
Sungrok Kang ◽  
Xyle Ku
Keyword(s):  
Mental Health ◽  
Vietnam War ◽  
Military Service ◽  
Latent Profile Analysis ◽  
Service Providers ◽  
Profile Analysis ◽  
Well Being ◽  
War Veterans ◽  
Vietnam War Veterans ◽  
Latent Profile

Abstract We investigated the dimensional structure of mental health among aging Korean Veterans using latent profile analysis (LPA) on posttraumatic stress disorder symptoms (PTSD), late onset stress symptomology (LOSS), and psychosocial well-being (PWB). The Korean Vietnam War Veterans Study consists of 367 men (Mage=72, SD=2.66). LPA identified five classes of mental health as best fitting the data. Most men were in the normal (38%) and moderate distress (31%) groups, while smaller proportions were in the low affect (13%) and severe distress (7%) groups. The resilient group (12%) had low PTSD, medium LOSS, and high PWB, and were highest on optimism, positive appraisals of military service, and social support. Negative and positive aspects of mental health outcomes were on separate dimensions rather than on a single bipolar dimension. Service providers should attempt to both reduce Veterans’ negative psychological symptoms and increase psychosocial well-being. Part of a symposium sponsored by the Aging Veterans: Effects of Military Service across the Life Course Interest Group.

scholarly journals Mental Health in Affectionate, Antagonistic, and Ambivalent Relationships During the COVID-19 Pandemic: A Latent Profile Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Jasmina Mehulić ◽  
Željka Kamenov
Keyword(s):  
Mental Health ◽  
Intimate Relationships ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Health Indicators ◽  
Well Being ◽  
Relationship Functioning ◽  
Relationship Type ◽  
Relationship Types ◽  
Latent Profile

The ongoing coronavirus disease-2019 (COVID-19) pandemic presents an acute stressor affecting mental health. In these stressful times, intimate relationships functioning could serve as a protective or a risk factor to the well-being of partners. Adult Croatian citizens engaged in intimate relationships (N = 727) reported their relationship characteristics and assessed symptoms of depression, anxiety, and stress during the state lockdown in May 2020. Three relationship profiles based on variations in key relationship characteristics were identified using latent profile analysis. Profiles represented distinct relationship types described as affectionate, ambivalent, and antagonistic relationships. These relationship types differed in their levels of love and perception of humility, responsiveness, and behavior of the partner. Relationship type was associated with mental health symptoms such as depression, anxiety, and stress during the COVID-19 pandemic and state lockdown. Being in an affectionate relationship was associated with the lowest levels of depression, anxiety, and stress, while in an antagonistic relationship these are in the highest levels. Ambivalent relationships were characterized by moderate levels on all measured mental health indicators with no difference in anxiety compared with affectionate relationships. The results emphasized the link between relationship functioning and successful coping with mental health hazards such as the fear of disease or restrictive measures put in place to contain the COVID-19 pandemic.

scholarly journals Employee Well-Being Profiles During COVID-19 Lockdown: A Latent Profile Analysis of French and UK Employees

2021 ◽  
Vol 12 ◽  
Author(s):  
Lotta K. Harju ◽  
Joonas Rokka ◽  
Maíra Magalhães Lopes ◽  
Massimo Airoldi ◽  
Karine Raïes
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Well Being ◽  
Individual Characteristics ◽  
General Level ◽  
Subjective Well Being ◽  
Financial Situation ◽  
Mixed Feelings ◽  
Cross National ◽  
Latent Profile

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.

scholarly journals Not All Are Equal: A Latent Profile Analysis of Well-Being Among the Self-Employed

2019 ◽  
Vol 21 (5) ◽  
pp. 1661-1680 ◽  
Author(s):  
Aleksandra Bujacz ◽  
Constanze Eib ◽  
Susanna Toivanen
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Well Being ◽  
The Self ◽  
Latent Profile

Emotional Labor and Occupational Well-Being

2015 ◽  
Vol 36 (1) ◽  
pp. 30-37 ◽  
Author(s):  
Francis Cheung ◽  
Vivian Miu-Chi Lun
Keyword(s):  
Job Satisfaction ◽  
Emotional Labor ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Well Being ◽  
Surface Acting ◽  
Job Outcomes ◽  
Behavioral Profile ◽  
Person Centered Approach ◽  
Different Levels

In the last three decades, emotional labor has been conceptualized as comprising three strategies, namely, surface acting, deep acting, and expression of naturally felt emotion. Research suggested that each emotional labor strategy relates differently to various health and job outcomes, such as burnout and job satisfaction. These findings and the conclusions drawn are predicated on compartmentalized treatment of the three strategies. A fundamental yet unresolved question concerns whether employees adopt more than one type of emotional labor in the workplace. In this study, we adopted latent profile analysis (LPA) to examine the behavioral profile (i.e., class) of employees’ deployment of emotional labor strategies and how these profiles relate to job satisfaction and burnout. Three latent classes were identified, and the results showed that employees with these different profiles reported significantly different levels of job satisfaction and burnout. These results provide support to a person-centered approach to understand the outcomes of performing emotional labor.

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