Sexual Identity Management Strategies and Occupational Well-Being: A Latent Profile Analysis

2019 ◽  
pp. 089484531985611
Author(s):  
Francis Cheung ◽  
Whywhy Chan
Keyword(s):  
Job Satisfaction ◽  
Depressive Symptoms ◽  
Sexual Identity ◽  
Emotional Exhaustion ◽  
Latent Profile Analysis ◽  
Identity Management ◽  
Profile Analysis ◽  
Well Being ◽  
Sexual Identity Management ◽  
Latent Profile

In this study, we adopted the latent profile analysis (LPA) to examine whether the sexual identity management profiles relate to different occupational well-being including job satisfaction, emotional exhaustion, and depressive symptoms. A total of 225 Hong Kong Chinese full-time employees were recruited online. Four profiles were identified, namely, passive ( n = 31), integration dominant ( n = 81), hiding ( n = 21), and balanced ( n = 92). Results suggest that integration-dominant employees tended to report higher job satisfaction but lower emotional exhaustion and depressive symptoms. In contrast, employees with hiding profiles (i.e., high on counterfeiting and avoidance but low on integration) reported the lowest job satisfaction and highest emotional exhaustion and depressive symptoms. The limitations and implications of this study were also discussed.

scholarly journals Emotional labor actors, well-being, and objective performance

2017 ◽  
Vol 30 (3) ◽  
pp. 393-413
Author(s):  
ChoonShin Park ◽  
JaeYoon Chang
Keyword(s):  
Job Satisfaction ◽  
Emotional Exhaustion ◽  
Emotional Labor ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Well Being ◽  
The Other ◽  
Deep Acting ◽  
Combined Use ◽  
Objective Performance

To manage the emotional labor demands, employees may primarily rely on one strategy or the other while they may use surface and deep acting in conjunction. However, most research on emotional labor have investigated how two emotional labor strategies function to predict employee well-being separately. This variable-centered perspective is difficult to capture subpopulations of employees who may differ in their combined use of surface and deep acting. Using latent profile analysis, the current study examined potential emotional labor profiles from a person-centered perspective. We identified 5 emotional labor profiles: trying yet faking, some faking, high deep actors, high regulators, and moderates. Also this profiles differently predicted employee well-being (emotional exhaustion and job satisfaction) and objective performance (new sales and member increase). The present study captured the particular conditions in which emotional labor may lead to positive or negative outcomes for employees and organizations.

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 Latent Profile Analyses of Depressive Symptoms in Younger and Older Oncology Patients

Assessment ◽  
2018 ◽  
Vol 27 (7) ◽  
pp. 1383-1398 ◽  
Author(s):  
Rebecca M. Saracino ◽  
Heining Cham ◽  
Barry Rosenfeld ◽  
Christian J. Nelson
Keyword(s):  
Depressive Symptoms ◽  
Older Patients ◽  
Latent Profile Analysis ◽  
Latent Class ◽  
Profile Analysis ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Class Differences ◽  
Patients With Cancer ◽  
Latent Profile

The aging of America will include a significant increase in the number of older patients with cancer, many of whom will experience significant depressive symptoms. Although geriatric depression is a well-studied construct, its symptom presentation in the context of cancer is less clear. Latent profile analysis was conducted on depressive symptoms in younger (40-64 years) and older (≥65 years) patients with cancer ( N = 636). The sample was clinically heterogeneous (i.e., included all stages, dominated by advanced stage disease). Participants completed questionnaires including the Center for Epidemiological Studies Depression Scale, which was used for the latent profile analysis. A four-class pattern was supported for each age group. However, the four-class pattern was significantly different between the younger and older groups in terms of the item means within each corresponding latent class; differences were primarily driven by severity such that across classes, older adults endorsed milder symptoms. An unexpected measurement issue was uncovered regarding reverse-coded items, suggesting that they may generate unreliable scores on the Center for Epidemiological Studies Depression Scale for a significant subset of patients. The results indicate that cancer clinicians can expect to see depressive symptoms along a continuum of severity for patients of any age, with less severe symptoms among older patients.

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
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