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.

scholarly journals Typologies of Family Functioning and 24-h Movement Behaviors

2021 ◽  
Vol 18 (2) ◽  
pp. 699
Author(s):  
Michelle D. Guerrero ◽  
Joel D. Barnes ◽  
Mark S. Tremblay ◽  
Laura Pulkki-Råback
Keyword(s):  
Family Environment ◽  
Parental Monitoring ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
The United States ◽  
Movement Behavior ◽  
High Conflict ◽  
The Family ◽  
Family Typologies ◽  
Latent Profile

Research on the importance of the family environment on children’s health behaviors is ubiquitous, yet critical gaps in the literature exist. Many studies have focused on one family characteristic and have relied on variable-centered approaches as opposed to person-centered approaches (e.g., latent profile analysis). 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 are associated with the number of movement behavior recommendations (i.e., physical activity, screen time, and sleep) met by children. Data for this cross-sectional observational study were part of the baseline data from the Adolescent Brain Cognitive Development (ABCD) study. Data were collected across 21 study sites in the United States. Participants included 10,712 children (female = 5143, males = 5578) aged 9 and 10 years (M = 9.91, SD = 0.62). Results showed that children were meaningfully classified into one of five family typologies. Children from families with high acceptance, medium monitoring, and medium conflict (P2; OR = 0.54; 95% CI, 0.39–0.76); high acceptance, medium monitoring, and high conflict (P3; OR = 0.28; 95% CI, 0.20, 0.40); low acceptance, low monitoring, and medium conflict (P4; OR = 0.24; 95% CI, 0.16, 0.36); and medium acceptance, low monitoring, and high conflict (P5; OR = 0.19; 95% CI, 0.12–0.29) were less likely to meet all three movement behavior recommendations compared to children from families with high acceptance, high monitoring, and low conflict (P1). These findings highlight the importance of the family environment for promoting healthy movement behaviors among children.

scholarly journals The diverging patterns of life satisfaction between families: A latent profile analysis in dual-earner parents with adolescents

2021 ◽  
Author(s):  
Berta Schnettler ◽  
Klaus G. Grunert ◽  
Ligia Orellana ◽  
Horacio Miranda ◽  
Germán Lobos ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Family Functioning ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Work Life ◽  
Life Balance ◽  
Financial Situation ◽  
Dual Earner ◽  
Satisfaction With Family Life ◽  
Latent Profile

AbstractThis study identifies family profiles based on the level of life satisfaction (LS) in mothers, fathers and adolescents, and variables related to their family, food, and work life. The sample was composed of 303 families of dual-earner parents (mothers’ mean age = 40.9 years, SD = 7.4, fathers’ mean age = 43.2 years, SD = 7.2) and one of their children aged between 10 and 17 years (mean age 13.3, SD = 2.4, 51.5% female). A Latent Profile Analysis (LPA) was used to identify five family profiles. Profiles differed in LS, satisfaction with family life (SWFaL), satisfaction with food-related life (SWFoL), family functioning, both parents’ work-life balance and their perception of the financial situation of the household. Balanced and imbalanced families in terms of LS differed in the three family members’ LS and SWFaL, mothers’ and children’ SWFoL and family functioning, and both parents’ perception of financial situation. These results contribute to understanding the heterogeneity of life satisfaction dynamics between and within dual-earner families.

scholarly journals Movement behavior profiles and obesity: a latent profile analysis of 24-h time-use composition among Danish workers

2019 ◽  
Vol 44 (2) ◽  
pp. 409-417 ◽  
Author(s):  
Nidhi Gupta ◽  
David M. Hallman ◽  
Dorothea Dumuid ◽  
Akshay Vij ◽  
Charlotte Lund Rasmussen ◽  
...  
Keyword(s):  
Time Use ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Movement Behavior ◽  
Behavior Profiles ◽  
Latent Profile

Identifying Effective Mentors in Scientific Communication: A Latent Profile Analysis of Mentor Beliefs

2020 ◽  
pp. 089484532092412 ◽  
Author(s):  
Cheryl B. Anderson ◽  
Shine Chang ◽  
Hwa Young Lee ◽  
Constance D. Baldwin
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Academic Research ◽  
Scientific Communication ◽  
The United States ◽  
Perceived Barriers ◽  
Physician Scientist ◽  
Problem Solvers ◽  
Research Faculty ◽  
Latent Profile

The need to specifically mentor graduate and medical students performing biomedical and biobehavioral research in communication skills is increasingly being highlighted to increase intention to pursue academic research careers, including physician–scientist careers. This study used data collected from 354 research faculty in 33 states across the United States to examine beliefs and perceived barriers about mentoring in scientific communication (writing, presenting, and informal discussion about science), with the goal of advancing evidence-based recommendations for mentoring interventions. Latent profile analysis identified four mentor profiles, based on beliefs regarding mentoring responsibility, expected outcomes, and barriers in scientific communication mentoring. Problem solvers, who acknowledged trainee problems but reported high efficacy in overcoming them, offered the highest levels of supportive and instructive mentoring. Since mentoring messages and actions influence trainee career development significantly, our results have important implications for faculty development to advance effective mentoring, especially in scientific communication.

Family functioning and adolescent internalizing symptoms: A latent profile analysis

2018 ◽  
Vol 64 ◽  
pp. 136-145 ◽  
Author(s):  
Emily G. Simpson ◽  
Anna Vannucci ◽  
Christine McCauley Ohannessian
Keyword(s):  
Family Functioning ◽  
Internalizing Symptoms ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Latent Profile

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 Use of latent profile analysis and k-means clustering to identify student anxiety profiles

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Fang Liu ◽  
Dan Yang ◽  
Yueguang Liu ◽  
Qin Zhang ◽  
Shiyu Chen ◽  
...  
Keyword(s):  
Mental Health ◽  
High Risk ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Risk Groups ◽  
High Risk Group ◽  
Cross Sectional ◽  
Student Anxiety ◽  
Targeted Interventions ◽  
Latent Profile

Abstract Background Anxiety disorders are often the first presentation of psychopathology in youth and are considered the most common psychiatric disorders in children and adolescents. This study aimed to identify distinct student anxiety profiles to develop targeted interventions. Methods A cross-sectional study was conducted with 9738 students in Yingshan County. Background characteristics were collected and Mental Health Test (MHT) were completed. Latent profile analysis (LPA) was applied to define student anxiety profiles, and then the analysis was repeated using k-means clustering. Results LPA yielded 3 profiles: the low-risk, mild-risk and high-risk groups, which comprised 29.5, 38.1 and 32.4% of the sample, respectively. Repeating the analysis using k-means clustering resulted in similar groupings. Most students in a particular k-means cluster were primarily in a single LPA-derived student profile. The multinomial ordinal logistic regression results showed that the high-risk group was more likely to be female, junior, and introverted, to live in a town, to have lower or average academic performance, to have heavy or average academic pressure, and to be in schools that have never or occasionally have organized mental health education activities. Conclusions The findings suggest that students with anxiety symptoms may be categorized into distinct profiles that are amenable to varying strategies for coordinated interventions.

scholarly journals The Dynamic Universal Profiles of Spiritual Awareness: A Latent Profile Analysis

Religions ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 288
Author(s):  
Simon Hanseung Choi ◽  
Clayton Hoi-Yun McClintock ◽  
Elsa Lau ◽  
Lisa Miller
Keyword(s):  
Spiritual Development ◽  
Latent Profile Analysis ◽  
Developmental Process ◽  
Profile Analysis ◽  
Community Sample ◽  
The United States ◽  
Two Dimensions ◽  
Clinical Samples ◽  
Spiritual Engagement ◽  
Latent Profile

The aim of the current investigation was to identify universal profiles of lived spirituality. A study on a large sample of participants (N = 5512) across three countries, India, China, and the United States, suggested there are at least five cross-cultural phenotypic dimensions of personal spiritual capacity—spiritual reflection and commitment; contemplative practice; perception of interconnectedness; perception of love; and practice of altruism—that are protective against pathology in a community sample and have been replicated in matched clinical and non-clinical samples. Based on the highest frequency combinations of these five capacities in the same sample, we explored potentially dynamic profiles of spiritual engagement. We inductively derived five profiles using Latent Profile Analysis (LPA): non-seeking; socially disconnected; spiritual emergence; virtuous humanist; and spiritually integrated. We also examined, in this cross-sectional data, covariates external to the LPA model which measure disposition towards meaning across two dimensions: seeking and fulfillment, of which the former necessarily precedes the latter. These meaning covariates, in conjunction with cross-profile age differences, suggest the profiles might represent sequential phases along an emergent path of spiritual development. Subsequent regression analyses conducted to predict depression, anxiety, substance-related disorders, and positive psychology based on spiritual engagement profiles revealed the spiritually integrated profile was most protected against psychopathology, while the spiritual emergence profile was at highest risk. While this developmental process may be riddled with struggle, as evidenced by elevated rates of psychopathology and substance use in the intermediate phases, this period is a transient one that necessarily precedes one of mental wellness and resilience—the spiritual development process is ultimately buoyant and protective.

scholarly journals Latent profile analysis of anxiety disorder among left-behind children in rural Southern China: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e029331 ◽  
Author(s):  
Haining Liao ◽  
Minyi Pan ◽  
Weinan Li ◽  
Changqi Lin ◽  
Xuhao Zhu ◽  
...  
Keyword(s):  
Anxiety Disorder ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
School Factors ◽  
Cross Sectional ◽  
Effective Response ◽  
Left Behind ◽  
Children’S Anxiety ◽  
Latent Profile

ObjectivesPrevious studies have used latent profile analysis (LPA) to examine rural left-behind children’s anxiety. Further study is needed to identify the heterogeneous characteristics of rural left-behind children’s anxiety and explore the related factors.SettingA cross-sectional survey using a school-based sample was conducted in January 2018 in Qingxin district, Qingyuan city, Guangdong province.Participants1026 left-behind children (effective response rate of the questionnaire: 95.39%).Main outcome measuresProfile latent classes (LC) and anxiety disorder.ResultsThe LPA identified three anxiety LC: ‘low anxiety’ (56.6%), ‘medium anxiety’ (34.8%) and ‘severe anxiety’ (8.6%). The multinomial logistic regression model was used to predict the relationship between personal, family, school factors and anxiety. We found that the variables directly related to lower anxiety classes included age (12–14 years), harmonious or fair relationship with classmates, no neglect, harmonious parental relationship and the duration of mother migration <6 months.ConclusionsThese findings suggested the need for careful consideration of differences in anxieties among rural left-behind children. Identifying latent subgroups may provide an empirical basis for teachers and public health practitioners to implement anxiety intervention efforts.

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