Communal Coping Among Spanish-Speaking Mother–Child Dyads Engaging in Language Brokering: A Latent Class Analysis

2016 ◽  
Vol 44 (5) ◽  
pp. 743-769 ◽  
Author(s):  
Jennifer A. Kam ◽  
Erin D. Basinger ◽  
Lisa M. Guntzviller
Keyword(s):  
Depressive Symptoms ◽  
Latent Class Analysis ◽  
Low Income ◽  
Latent Class ◽  
Language Brokering ◽  
Class Membership ◽  
Communal Coping ◽  
Spanish Speaking ◽  
Class A ◽  
Different Types

Utilizing self-reported survey data from 120 low-income, Spanish-speaking mother–child dyads, this study examined different types of classes (i.e., subgroups) based on the ways in which mothers and adolescent children coped with language brokering, particularly when they found it stressful. Four classes emerged, listed from largest to smallest class: (a) communal coping mothers, (b) shared communal copers, (c) independent communal coping children, and (d) communal coping children. Mothers’ parent–child closeness predicted class membership, but adolescent children’s reported closeness was not a significant predictor. Nevertheless, adolescent children’s respect for family significantly predicted class membership, whereas mothers’ respect for family was not a significant predictor. Mothers who were members of the communal coping children class reported less frequent depressive symptoms, whereas children who were independent communal coping children reported more frequent depressive symptoms.

Health Care Utilization, Transition Readiness, and Quality of Life: A Latent Class Analysis

2020 ◽  
Author(s):  
Katherine A Traino ◽  
Christina M Sharkey ◽  
Megan N Perez ◽  
Dana M Bakula ◽  
Caroline M Roberts ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Health Care ◽  
Health Care Utilization ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Care Utilization ◽  
Class Membership ◽  
Transition Readiness ◽  
High Utilization

Abstract Objective To identify possible subgroups of health care utilization (HCU) patterns among adolescents and young adults (AYAs) with a chronic medical condition (CMC), and examine how these patterns relate to transition readiness and health-related quality of life (HRQoL). Methods Undergraduates (N = 359; Mage=19.51 years, SD = 1.31) with a self-reported CMC (e.g., asthma, allergies, irritable bowel syndrome) completed measures of demographics, HCU (e.g., presence of specialty or adult providers, recent medical visits), transition readiness, and mental HRQoL (MHC) and physical HRQoL (PHC). Latent class analysis identified four distinct patterns of HCU. The BCH procedure evaluated how these patterns related to transition readiness and HRQoL outcomes. Results Based on seven indicators of HCU, a four-class model was found to have optimal fit. Classes were termed High Utilization (n = 95), Adult Primary Care Physician (PCP)-Moderate Utilization (n = 107), Family PCP-Moderate Utilization (n = 81), and Low Utilization (n = 76). Age, family income, and illness controllability predicted class membership. Class membership predicted transition readiness and PHC, but not MHC. The High Utilization group reported the highest transition readiness and the lowest HRQoL, while the Low Utilization group reported the lowest transition readiness and highest HRQoL. Conclusions The present study characterizes the varying degrees to which AYAs with CMCs utilize health care. Our findings suggest poorer PHC may result in higher HCU, and that greater skills and health care engagement may not be sufficient for optimizing HRQoL. Future research should examine the High Utilization subgroup and their risk for poorer HRQoL.

scholarly journals Eating behaviour, physical activity, TV exposure and sleeping habits in five year olds: a latent class analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Molly Mattsson ◽  
Deirdre M. Murray ◽  
Mairead Kiely ◽  
Fergus P. McCarthy ◽  
Elaine McCarthy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Eating Behaviour ◽  
Overweight And Obesity ◽  
Class Analysis ◽  
Class Membership ◽  
Active Play ◽  
Food Avoidance ◽  
Cluster Membership

Abstract Background Diet, physical activity, sedentary behaviours, and sleep time are considered major contributory factors of the increased prevalence of childhood overweight and obesity. The aims of this study were to (1) identify behavioural clusters of 5 year old children based on lifestyle behaviours, (2) explore potential determinants of class membership, and (3) to determine if class membership was associated with body measure outcomes at 5 years of age. Methods Data on eating behaviour, engagement in active play, TV watching, and sleep duration in 1229 5 year old children from the Cork BASELINE birth cohort study was obtained through in-person interviews with parent. Latent class analysis was used to identify behavioural clusters. Potential determinants of cluster membership were investigated using multinomial logistic regression. Associations between the identified classes and cardio metabolic body measures were examined using multivariate logistic and linear regression, with cluster membership used as the independent variable. Results 51% of children belonged to a normative class, while 28% of children were in a class characterised by high scores on food avoidance scales in combination with low enjoyment of food, and 20% experienced high scores on the food approach scales. Children in both these classes had lower conditional probabilities of engaging in active play for at least 1 hour per day and sleeping for a minimum of 10 h, and higher probability of watching TV for 2 hours or more, compared to the normative class. Low socioeconomic index (SEI) and no breastfeeding at 2 months were found to be associated with membership of the class associated with high scores on the food avoidance scale, while lower maternal education was associated with the class defined by high food approach scores. Children in the class with high scores on the food approach scales had higher fat mass index (FMI), lean mass index (LMI), and waist-to-height ratio (WtHR) compared to the normative class, and were at greater risk of overweight and obesity. Conclusion Findings suggest that eating behaviour appeared to influence overweight and obesity risk to a greater degree than activity levels at 5 years old. Further research of how potentially obesogenic behaviours in early life track over time and influence adiposity and other cardio metabolic outcomes is crucial to inform the timing of interventions.

Prevalence, risk factors and multi-group latent class analysis of lifetime anxiety disorders comorbid depressive symptoms

2019 ◽  
Vol 243 ◽  
pp. 360-365 ◽  
Author(s):  
Hongguang Chen ◽  
Xiao Wang ◽  
Yueqin Huang ◽  
Guohua Li ◽  
Zhaorui Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Anxiety Disorders ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis

scholarly journals Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abbas Abbasi-Ghahramanloo ◽  
Mohammadkarim Bahadori ◽  
Esfandiar Azad ◽  
Nooredin Dopeykar ◽  
Parisa Mahdizadeh ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Mental Disorders ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Adult Population ◽  
Class Analysis ◽  
Class Membership ◽  
Anthropometric Measures ◽  
Military Unit

Abstract Introduction Mental disorders are among the most prevalent health problems of the adult population in the world. This study aimed to identify the subgroups of staff based on mental disorders and assess the independent role of metabolic syndrome (MetS) on the membership of participants in each latent class. Methods This cross-sectional study was conducted among 694 staff of a military unit in Tehran in 2017. All staff of this military unit was invited to participate in this study. The collected data included demographic characteristics, anthropometric measures, blood pressure, biochemical parameters, and mental disorders. We performed latent class analysis using a procedure for latent class analysis (PROC LCA) in SAS to identify class membership of mental disorders using Symptom Checklist-90. Results Three latent classes were identified as healthy (92.7%), mild (4.9%), and severe (2.4%) mental disorders. Having higher age significantly decreased the odds of belonging to the mild class (adjusted OR (aOR = 0.21; 95% confidence interval (CI): 0.05–0.83) compared to the healthy class. Also, obesity decreased the odds of membership in mild class (aOR = 0.10, 95% CI: 0.01–0.92) compared to healthy class. On the other hand, being female increased the odds of being in severe class (aOR = 9.76; 95% CI: 1.35–70.65) class in comparison to healthy class. Conclusion This study revealed that 7.3% of staff fell under mild and severe classes. Considering educational workshops in the workplace about mental disorders could be effective in enhancing staff’s knowledge of these disorders. Also, treatment of comorbid mental disorders may help reduce their prevalence and comorbidity.

scholarly journals Stress of Language Brokering and Mexican American Adolescents’ Adjustment: The Role of Cumulative Risk

2019 ◽  
Vol 40 (3) ◽  
pp. 400-425
Author(s):  
Yishan Shen ◽  
Eunjin Seo ◽  
Dorothy Clare Walt ◽  
Su Yeong Kim
Keyword(s):  
Depressive Symptoms ◽  
Low Income ◽  
Mexican American ◽  
Cumulative Risk ◽  
Early Adolescents ◽  
Well Being ◽  
The United States ◽  
Language Brokering ◽  
Adjustment Problems

This study focused on early adolescents’ stress of language brokering and examined the moderating role of family cumulative risk in the relation of language brokering to adjustment problems. Data came from self-reports of 604 low-income Mexican American adolescent language brokers (54% female; [Formula: see text]= 12.4; SD = 0.97; 75% born in the United States) and their parents (99% foreign-born) in central Texas. Path analyses revealed that brokering stress, but not frequency, was positively associated with adolescents’ adjustment problems, including depressive symptoms, anxiety, and delinquency. We also found that the relation between stress of brokering for mothers and adolescents’ depressive symptoms was stronger among families with a high cumulative risk. Further, with a high cumulative risk, adolescents exhibited delinquent behaviors regardless of the levels of stress from translating for fathers. Current findings underscore the importance of examining family contexts in assessing the consequences of language brokering for Mexican American early adolescents’ well-being.

Profiles and characteristics of clinical subtypes of perinatal depressive symptoms: A latent class analysis

2019 ◽  
Vol 75 (11) ◽  
pp. 2753-2765 ◽  
Author(s):  
Ji‐Wei Sun ◽  
Dan‐Feng Cao ◽  
Jia‐Huan Li ◽  
Xuan Zhang ◽  
Ying Wang ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Latent Class Analysis ◽  
Latent Class ◽  
Class Analysis ◽  
Perinatal Depressive Symptoms

scholarly journals Coping Patterns Among Primary Informal Dementia Caregivers in Singapore and Its Impact on Caregivers—Implications of a Latent Class Analysis

2020 ◽  
Author(s):  
Qi Yuan ◽  
Peizhi Wang ◽  
Tee Hng Tan ◽  
Fiona Devi ◽  
Daniel Poremski ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Latent Class Analysis ◽  
Coping Strategies ◽  
Latent Class ◽  
Personal Characteristics ◽  
Future Research ◽  
Class Analysis ◽  
Dementia Caregivers ◽  
Design And Methods ◽  
Coping Patterns

Abstract Background and Objectives Existing studies typically explore the factor structure of coping strategies among dementia caregivers. However, this approach overlooks the fact that caregivers often use different coping strategies simultaneously. This study aims to explore the coping patterns of primary informal dementia caregivers in Singapore, examine their significant correlates, and investigate whether different patterns would affect the depressive symptoms of caregivers. Research Design and Methods Two hundred eighty-one primary informal caregivers of persons with dementia (PWD) were assessed. Coping strategies were measured by the Brief Coping Orientation to Problem Experienced inventory. A latent class analysis was performed to explore caregivers’ coping patterns, followed by logistic regressions to identify the significant correlates and the relationships between coping patterns and caregiver depression. Results The latent class analysis suggested a three-class solution that was featured by the frequency and variety of coping strategies used by caregivers—high coping (36.3%), medium coping (37.7%), and low coping (26.0%). Factors influencing the coping patterns of our sample were mainly related to caregivers’ individual resources such as personal characteristics and caregiving stressors like PWD’s problematic behaviors and caregiving burden. Compared to caregivers in the low coping group, those in the medium coping group had significantly higher risks of potential depression. Discussion and Implications The current study confirmed that there are distinct coping patterns among primary informal dementia caregivers, and caregivers with the low coping pattern had fewer depressive symptoms. Future research is needed to explore if coping patterns from our sample are generalizable to dementia caregivers elsewhere.

scholarly journals Trajectories of Depressive Symptoms among Multicultural Adolescents in Korea: Longitudinal Analysis Using Latent Class Growth Model

2020 ◽  
Vol 17 (21) ◽  
pp. 8217
Author(s):  
Min Kyung Song ◽  
Ju Young Yoon ◽  
Eunjoo Kim
Keyword(s):  
Depressive Symptoms ◽  
Latent Class Analysis ◽  
Predictive Factors ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Panel Study ◽  
Class Analysis ◽  
Early Screening ◽  
Care Plans ◽  
Latent Class Growth

The purpose of this study was to investigate the trajectory of depressive symptoms in multicultural adolescents using longitudinal data, and to identify predictive factors related to depressive symptoms of multicultural adolescents using latent class analysis. We used six time-point data derived from the 2012 to 2017 Multicultural Adolescents Panel Study (MAPS). Latent growth curve modeling was used to assess the overall features of depressive symptom trajectories in multicultural adolescents, and latent class growth modeling was used to determine the number and shape of trajectories. We applied multinomial logistic regression analysis to each class to explore predictive factors. We found that the overall slope of depressive symptoms in multicultural adolescents increased. Latent class analysis demonstrated three classes: (1) high-increasing class (i.e., high intercept, significantly increasing slope), (2) moderate-increasing class (i.e., moderate intercept, significantly increasing slope), and (3) low-stable class (i.e., low intercept, no significant slope). In particular, we found that the difference in the initial intercept of depressive symptoms determined the subsequent trajectory. There is a need for early screening for depressive symptoms in multicultural adolescents and preparing individual mental health care plans.

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