scholarly journals Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis

10.2196/27000 ◽  
2022 ◽  
Vol 24 (1) ◽  
pp. e27000
Author(s):  
Cecilia Cheng ◽  
Omid V Ebrahimi ◽  
Jeremy W Luk
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
The United States ◽  
Lower Sensitivity ◽  
Predictive Values ◽  
Classification Schemes ◽  
Social Media Addiction ◽  
Latent Profile

Background As social media is a major channel of interpersonal communication in the digital age, social media addiction has emerged as a novel mental health issue that has raised considerable concerns among researchers, health professionals, policy makers, mass media, and the general public. Objective The aim of this study is to examine the prevalence of social media addiction derived from 4 major classification schemes (strict monothetic, strict polythetic, monothetic, and polythetic), with latent profiles embedded in the empirical data adopted as the benchmark for comparison. The extent of matching between the classification of each scheme and the actual data pattern was evaluated using sensitivity and specificity analyses. The associations between social media addiction and 2 comorbid mental health conditions—depression and anxiety—were investigated. Methods A cross-sectional web-based survey was conducted, and the replicability of findings was assessed in 2 independent samples comprising 573 adults from the United Kingdom (261/573, 45.6% men; mean age 43.62 years, SD 12.24 years) and 474 adults from the United States (224/474, 47.4% men; mean age 44.67 years, SD 12.99 years). The demographic characteristics of both samples were similar to those of their respective populations. Results The prevalence estimates of social media addiction varied across the classification schemes, ranging from 1% to 15% for the UK sample and 0% to 11% for the US sample. The latent profile analysis identified 3 latent groups for both samples: low-risk, at-risk, and high-risk. The sensitivity, specificity, and negative predictive values were high (83%-100%) for all classification schemes, except for the relatively lower sensitivity (73%-74%) for the polythetic scheme. However, the polythetic scheme had high positive predictive values (88%-94%), whereas such values were low (2%-43%) for the other 3 classification schemes. The group membership yielded by the polythetic scheme was largely consistent (95%-96%) with that of the benchmark. Conclusions Among the classification schemes, the polythetic scheme is more well-balanced across all 4 indices.

scholarly journals Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis (Preprint)

2021 ◽  
Author(s):  
Cecilia Cheng ◽  
Omid V Ebrahimi ◽  
Jeremy W Luk
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
The United States ◽  
Lower Sensitivity ◽  
Predictive Values ◽  
Classification Schemes ◽  
Social Media Addiction ◽  
Latent Profile

BACKGROUND As social media is a major channel of interpersonal communication in the digital age, social media addiction has emerged as a novel mental health issue that has raised considerable concerns among researchers, health professionals, policy makers, mass media, and the general public. OBJECTIVE The aim of this study is to examine the prevalence of social media addiction derived from 4 major classification schemes (strict monothetic, strict polythetic, monothetic, and polythetic), with latent profiles embedded in the empirical data adopted as the benchmark for comparison. The extent of matching between the classification of each scheme and the actual data pattern was evaluated using sensitivity and specificity analyses. The associations between social media addiction and 2 comorbid mental health conditions—depression and anxiety—were investigated. METHODS A cross-sectional web-based survey was conducted, and the replicability of findings was assessed in 2 independent samples comprising 573 adults from the United Kingdom (261/573, 45.6% men; mean age 43.62 years, SD 12.24 years) and 474 adults from the United States (224/474, 47.4% men; mean age 44.67 years, SD 12.99 years). The demographic characteristics of both samples were similar to those of their respective populations. RESULTS The prevalence estimates of social media addiction varied across the classification schemes, ranging from 1% to 15% for the UK sample and 0% to 11% for the US sample. The latent profile analysis identified 3 latent groups for both samples: low-risk, at-risk, and high-risk. The sensitivity, specificity, and negative predictive values were high (83%-100%) for all classification schemes, except for the relatively lower sensitivity (73%-74%) for the polythetic scheme. However, the polythetic scheme had high positive predictive values (88%-94%), whereas such values were low (2%-43%) for the other 3 classification schemes. The group membership yielded by the polythetic scheme was largely consistent (95%-96%) with that of the benchmark. CONCLUSIONS Among the classification schemes, the polythetic scheme is more well-balanced across all 4 indices.

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 Typologies of Family Functioning and 24-Hour Movement Behaviors

2020 ◽  
Author(s):  
Michelle Guerrero ◽  
Joel Barnes ◽  
Mark Tremblay ◽  
Laura Pulkki-Råback
Keyword(s):  
Family Functioning ◽  
Family Environment ◽  
Parental Monitoring ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
The United States ◽  
Movement Behavior ◽  
Cross Sectional ◽  
Family Typologies ◽  
Latent Profile

Abstract Objective: The purpose of the current study was to use latent profile analysis to identify family typologies characterized by parental acceptance, parental monitoring, and family conflict, and to examine whether such typologies were associated with the number of movement behavior recommendations (i.e., physical activity, screen time, and sleep) met by children. Methods: Data for this cross-sectional observational study were part of the baseline data from the Adolescent Brain Cognitive Development (ABCD) study. Data were collected from September 1, 2016 to September 15, 2018, across 21 study sites in the United States. Participants included 11,875 children aged 9 and 10 years. Results: Results from latent profile analysis showed that children were meaningfully classified into one of five family typologies, ranging from ideal (high acceptance, high monitoring, and low conflict) to poor (medium acceptance, low monitoring, and high conflict) functioning. Children from good (OR= 0.54; 95% CI, 0.39-0.76), average (OR=0.28; 95% CI, 0.20, 0.40), fair (OR=0.24; 95% CI, 0.16, 0.36), and poor (OR=0.19; 95% CI, 0.12-0.29) functioning families were less likely to meet all three movement behavior recommendations compared to children from ideal functioning families. The odds of meeting all recommendations progressively decreased as family functioning worsened. Similar findings and pattern of results were found for meeting ≥2 recommendations and ≥1 recommendation. Conclusions: These findings highlight the importance of the family environment for promoting healthy movement behaviors among children.

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