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Competency-based teasing has been identified as a risk factor for children's depressive symptoms. However, the specific psychological mechanisms mediating this relationship are not well understood, especially in the context of Chinese culture. This study examined the relationship between competency-based teasing, subsequent depressive symptoms, and the possible mediating role of positivity in Chinese children by using parallel process latent growth curve modelling. Gender differences were also explored. A sample of 4376 Chinese children (55.1% boys; age: M = 9.98 years, SD = 0.88) completed measurements of the relevant constructs on five occasions across 2 years, using half-year intervals. The findings revealed that competency-based teasing was significantly positively associated with subsequent depressive symptoms in Chinese children. Furthermore, positivity mediated this relationship in girls, but not in boys. The results suggest that positivity-cultivating and gender-specific interventions may be effective to reduce the risk of depressive symptoms in Chinese children.

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Introduction: The aging population in South Korea faces numerous health challenges, one of which is the decline in Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL). This study aims to investigate the patterns of change in ADL and IADL among older adults and examines how these patterns vary between individuals with and without dementia. Methods: We conducted an analysis of data collected from the Korea Longitudinal Study of Ageing (KLoSA) between 2006 and 2022. Our cohort consisted of individuals aged 45 and older with non-dementia conditions, including mild cognitive impairment (N=6042), and a smaller group with dementia (N=91). Using Latent Growth Curve Models, we explored the developmental trajectories of ADL and IADL among our sample. Results: Our findings indicate a linear decline in both ADL and IADL scores as individuals age. The decline in IADL was more pronounced in the dementia group, suggesting a greater sensitivity to sociocultural factors within this domain. The data revealed that individuals with dementia had consistently lower ADL and IADL scores. Notably, the variance in scores within the dementia group increased with age, signifying a worsening in daily living performance and an increase in individual variation (F=226.630, p<.001). Discussion: The results of this study underscore the impact of dementia on both the self-regulation function and the social and cultural aspects of daily living performance, particularly reflected in IADL scores. These findings point to the necessity for comprehensive care strategies that address the multifaceted needs of older adults with dementia, including support for complex daily activities that are influenced by sociocultural factors.

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BACKGROUND AND OBJECTIVES: Social isolation has been recognized as a social problem with negative health consequences. Using data from 3 waves of the Health and Retirement Study, this study aimed to examine the long-term impact of social isolation on loneliness and depressive symptoms and to explore the moderating effect of resilience. RESEARCH DESIGN AND METHODS: This study comprised 3,681 U.S. adults aged 60 and older at the baseline wave. Social isolation index was constructed using 5 indicators, including not married or cohabitating with a partner, no social participation, and less than monthly contacts with children, family members, or friends. Loneliness was measured by the University of California Los Angeles (UCLA) Loneliness Scale and depressive symptoms were measured by the Center for Epidemiological Studies-Depression scale. The moderator of resilience was assessed by the simplified resilience score. Latent growth curve models with robust standard errors were estimated. RESULTS: The results of latent growth curve models showed that social isolation was significantly associated with more initial loneliness and depressive symptoms. However, social isolation was associated with a slower increasing rate of loneliness, but no significant relationship with the change rate of depressive symptoms. Furthermore, resilience significantly buffered the negative effect of social isolation on the initial level of depressive symptoms. DISCUSSION AND IMPLICATIONS: The findings underscore the importance of enacting strategies and interventions targeting resilience to address social isolation and its negative consequences among older adults.

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Parallel process latent growth curve mediation models (PP-LGCMMs) are frequently used to longitudinally investigate the mediation effects of treatment on the level and change of outcome through the level and change of mediator. An important but often violated assumption in empirical PP-LGCMM analysis is the absence of omitted confounders of the relationships among treatment, mediator, and outcome. In this study, we analytically examined how omitting pretreatment confounders impacts the inference of mediation from the PP-LGCMM. Using the analytical results, we developed three sensitivity analysis approaches for the PP-LGCMM, including the frequentist, Bayesian, and Monte Carlo approaches. The three approaches help investigate different questions regarding the robustness of mediation results from the PP-LGCMM, and handle the uncertainty in the sensitivity parameters differently. Applications of the three sensitivity analyses are illustrated using a real-data example. A user-friendly Shiny web application is developed to conduct the sensitivity analyses.

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BACKGROUND: The bidirectional relationship between physical health (PH) and depressive symptoms (DS) remains unclear. METHODS: Data were extracted from the Health and Retirement Study in the United States. PH was measured with a composite of chronic diseases, functional limitations and difficulties in basic and instrumental activities of daily living, and DS with a modified Center for Epidemiological Studies of Depression. Latent growth curve models (LGCM) were employed to examine how the change in PH or DS affected their mutual trajectories in later life. In addition, multilevel models were utilized. RESULTS: There were 6144 participants included, with an average age of 69.82 ± 6.85 years at baseline, of whom 3686 (59.99 %) were women. PH scores increased from 5.65 in 2010 to 7.72 in 2018, while depression scores increased from 1.14 to 1.31. LGCM results showed that the initial levels of PH and DS were associated (ß = 0.558, P < .001), and the initial level of PH could predict the trajectory of DS (ß = 0.089, P < .001). Likewise, the initial level of DS was also related to initial PH (ß = -0.563, P < .001) but couldn't predict the trajectory of PH. Furthermore, the slopes of PH and DS were predicted bidirectionally by each other. Two-level logistic models further demonstrated the bidirectional association between PH and DS. CONCLUSION: There was a bidirectional association between physical health and depressive symptoms, which highlights the necessity of comprehensive health management for older adults with poor physical health or depression symptoms.

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Using the Consequences of COVID-19 (COCO) dataset (quota sample of the adult Italian population, surveyed seven times by email), we analysed the trend of trust in political (political parties, parliament and local administrations), super partes (president of the Republic, judiciary and police) and international (the European Union and the United Nations) institutions from June 2019 to October 2022. Three latent growth curve models showed that trust in political institutions increased between June 2019 and April 2020 and subsequently decreased below the pre-pandemic level. Trust in super partes institutions decreased slightly between June 2019 and April 2020, decreased from April 2020 to April 2022 and increased in the subsequent months. Trust in international institutions declined between June 2019 and April 2020 and then returned to pre-pandemic levels. Three piecewise decompositions showed different trends in trust for non-populist voters, populist voters and non-voters. Strengths, weaknesses and possible developments of the study are discussed.

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Researchers are often interested in examining between-individual differences in within-individual processes. If the process under investigation is tracked for a long time, its trajectory may show a certain degree of nonlinearity, so that the rate of change is not constant. A fundamental goal of modeling such nonlinear processes is to estimate model parameters that reflect meaningful aspects of change, including the parameters related to change and other parameters that shed light on substantive hypotheses. However, if the measurement occasion is unstructured, existing models cannot simultaneously estimate these two types of parameters. This article has three goals. First, we view the change over time as the area under the curve (AUC) of the rate of change versus time ( r - t ) graph. Second, using the instantaneous rate of change midway through a time interval to approximate the average rate of change during that interval, we propose a new specification to describe longitudinal processes. In addition to obtaining the individual change-related parameters and other parameters related to specific research questions, the new specification allows for unequally spaced study waves and individual measurement occasions around each wave. Third, we derive the model-based interval-specific change and change from baseline, two common measures to evaluate change over time. We evaluate the proposed specification through a simulation study and a real-world data analysis. We also provide OpenMx and Mplus 8 code for each model with the novel specification.

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There is substantial rank-order stability in children's mathematical skills throughout development. Research has shown that children who enter school with relatively low math skills are unlikely to catch up to peers who begin kindergarten with more developed math skills. Emerging evidence suggests that children's executive function skills might play an important role in shaping the rate and stability of mathematical skill development during early development. Therefore in the present study, we used data from the Early Childhood Longitudinal Study-Kindergarten Cohort 2010-11-a prospective sample of over 18,000 children in the United States-to examine executive function as an antecedent to characteristics of growth in math skills and to test whether executive function moderates the longitudinal stability of math achievement from kindergarten through second grade. Latent growth curve models reveal that executive function is related to not only the level of math skills at school entry but also to the rate of growth in early elementary years. Moreover, we found that executive function moderated the stability of math achievement from kindergarten to second grade, suggesting that early executive function skills can serve as a compensatory mechanism for children who enter school with lower levels of mathematical skills. These findings might have important implications for narrowing gaps in math achievement during early elementary school.

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With the advent of Complex dynamic systems theory (CDST) in the field of second language question (SLA), the need for suitable CDST compatible methods for the investigation of temporal change in L2 affective variables has been felt more than before. One of the innovative methods for this purpose is latent growth curve modeling (LGCM), which has recently drawn the attention of SLA scholars. However, the application of this method is still a burgeoning demand in SLA. In response to this demand, the present study provides a review of the conceptualization, significance, and technical features of the implementation of LGCM. In doing so, this review suggests a number of practices via which LGCM has been introduced in SLA. Additionally, some practical implications are provided for SLA researchers to enhance their literacy of LGCM. Finally, future research suggestions for the progress of the use of this method in SLA are discussed.

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This study aims to understand the direct and indirect effects of poverty trajectories on maternal depression trajectories mediated by material hardship trajectories. A latent growth mediation model was tested using a predominantly low-income and mostly unmarried sample of mothers from the Fragile Families and Child Wellbeing Study, a national birth cohort of racially diverse mothers (N = 3999). Measures included family poverty, material hardship, and maternal depression from 5 waves of data which tracked mothers starting 1 year after childbirth until the child reached 15 years of age. The results revealed that (1) family poverty was associated with material hardship and maternal depression, and material hardship was related to maternal depression at the trajectory level and the rate of change, with the exception of the relationships between the rate of change in family poverty and the rate of change in maternal depression; (2) material hardship mediated the relationship between family poverty and maternal depression at the initial trajectory levels, and the rate of change in material hardship fully mediated the relationship between the rate of change in poverty and the rate of change in maternal depression. This study provides further evidence that alleviating material hardship might be a promising avenue to reducing maternal depression.

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OBJECTIVE: Effortful control (EC) has been conceptualized as a higher-order construct defined by a class of self-regulatory mechanisms. However, the developmental higher-order structure of EC has seldom been investigated with a thorough psychometric analysis. To begin to fill this gap in the literature, data were obtained from parents and teachers of 185 children (age at T1: M = 9.43 y/o, SD = 1.17) every 2 years for 8 years. METHOD: We used a structural equation modeling approach for assessing if EC develops as a higher-order factor superordinate to three commonly studied self-regulatory mechanisms, namely inhibitory control (IC), attention focusing (AF), and attention shifting (AS). RESULTS: Results showed that (a) IC, AF, and AS followed a similar pattern of growth, (b) EC displayed an acceptable degree of scalar longitudinal invariance when operationalized as a latent variable indicated by IC, AF, and AS, (c) a higher-order structure explained the co-development of IC, AF, and AS, and (d) stability and change in EC negatively predicted externalizing symptoms, much better than the stability and change of IC, AF, and AS, but only for parents' reports. CONCLUSION: Overall, the higher-order structure of EC was supported, but our results also indicated that there is a certain degree of uniqueness in its facets.

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Disclosing a sexual minority (e.g., lesbian, gay, or bisexual) identity to others is an ongoing process throughout life. Research shows that disclosure is stressful, and this stress is related to poorer mental health for sexual minority youth. However, there are few theoretically grounded studies examining disclosure stress and its prospective association with mental health. The current study utilizes two conceptualizations of sexual identity development-stage models and milestone models-to contextualize how changes in disclosure-related stress are associated with depression symptoms from adolescence into young adulthood. Data come from a sample of lesbian, gay, and bisexual youth between ages 15-24 surveyed over three years (N=555; 82% youth of color; 40% bisexual; 63% free and reduced lunch; and 49% assigned female at birth). We estimated (1) parallel process models and (2) growth curve models with disclosure stress as a time-varying covariate, which were respectively informed by stage and milestone conceptualizations of sexual identity development. Results indicated that depression symptoms declined while disclosure stress increased. In the parallel process model, higher baseline disclosure stress correlated with higher baseline levels and steeper declines in depression symptoms. When disclosure stress was modeled as a time-varying covariate, it was most strongly associated with higher depression symptoms at earlier ages. Disclosure is a developmental process that confers differential risk for depression symptoms earlier in the life course, which can hinder the typical decline of depression symptoms in young adulthood. Supporting sexual minority youth when they disclose their sexual identity throughout adolescence can have long-term benefits for mental health.

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BACKGROUND AND OBJECTIVES: We developed a new group practice using strength- and meaning-based narrative therapy (NT) for older Chinese living in Hong Kong (HK), to enhance their life wisdom. This paper reports on the intervention and its short- and longer-term effectiveness. RESEARCH DESIGN AND METHODS: A randomized waitlist-controlled trial was conducted. A total of 157 older adults were randomly recruited, of whom 75 were randomly assigned to the intervention group which received four 2-hr biweekly NT sessions using the "Tree of Life" metaphor. The others were placed on a waitlist. Perceived wisdom was assessed using the Brief Self-Assessed Wisdom Scale. Assessment occurred at baseline (T0), end of treatment (T1), and 4 (T2) and 8 months later (T3). Overtime effects of NT on wisdom scores were assessed using latent growth curve models with time-invariant covariates for impact. RESULTS: The intervention (NT) group showed significant, sustainable overtime within-group improvement in perceived wisdom. Furthermore, when compared to the control group, the NT group showed significant immediate improvements in perceived wisdom [F(2.726, p = .041)], which were maintained at all follow-up points. This effect remained after controlling for age, gender, and educational level (T ML(11) = 17.306, p = .098, root mean square error of approximation = 0.079, comparative fit index = 0.960). No adverse reaction was recorded. DISCUSSION AND IMPLICATIONS: NT underpinned by a ToL methodology offers a new theory to understand, promote, and appreciate perceived wisdom in older Chinese living in HK. It contributes to psychotherapy and professional social work practice for older Chinese.

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The present study examines the trajectories of unhealthy food and alcohol consumption over time and considers whether perceived impact of COVID-19 and psychological variables are predictors of these trajectories. We ascertained whether these predictors are different in women vs. men and between women living with vs. without children. Data were collected through online surveys administered to 1038 participants from two universities (staff and students) in Chile, across five waves (July to October 2020). Participants provided information about their past-week unhealthy food and alcohol consumption and mental health. Using latent growth curve modeling analysis, we found that higher perceived health and interpersonal COVID-19 impact, younger age and lower depression symptoms were associated with more rapid increases over time in unhealthy food consumption. On the other hand, higher perceived COVID-19 economic impact and older age were associated with more rapid diachronic decreases in alcohol consumption. Gender and living with or without children, for women only, were moderators of these trajectories. This longitudinal study provides strong evidence identifying the multiple repercussions of COVID-19 and mental health factors on unhealthy food and alcohol consumption. These findings highlight the need for interventions aimed at minimizing the impact of the pandemic on unhealthy food and alcohol consumption over time.

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Growth mixture models are regularly applied in the behavioral and social sciences to identify unknown heterogeneous subpopulations that follow distinct developmental trajectories. Marcoulides and Trinchera (2019) recently proposed a mixture modeling approach that examines the presence of multiple latent classes by algorithmically grouping or clustering individuals who follow the same estimated growth trajectory based on an evaluation of individual case residuals. The purpose of this article was to conduct a simulation study that examines the performance of this new approach for determining the number of classes in growth mixture models. The performance of the approach to correctly identify the number of classes is examined under a variety of longitudinal data design conditions. The findings demonstrated that the new approach was a very dependable indicator of classes across all the design conditions considered.

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Language development is not completed when children enter primary school. As the comprehension of connectives (such as although, despite) is important for understanding and producing academic texts and, thus, relevant for school success, we investigated its development and influencing factors across primary school age on the basis of a newly developed and validated test instrument. Using a German sample of 627 students (n = 361 language minority learners) in primary school, results of growth curve models showed students' initial level of the comprehension of connectives to be negatively related to its growth rate. Additional analyses revealed this association to be mainly due to parental socioeconomic status (SES) rather than students' language background. In particular, parental SES and students' receptive grammar impacted initial level as well as growth rate of connective comprehension. Our results point to the necessity of a continuous and early sensitization for the register of academic language especially in the group of students from a low socioeconomic background.

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Objective: Investigations of cohort differences in relationships between education and health tend to focus on mortality or self-reported health. We report one of the first analyses of cohort differences in relationships between education and objective measures of functional abilities across the lifespan. Method: Up to 26 years of follow-up data were available from 859 adults from the Swedish Adoption/Twin Study of Aging. The sample was divided into two cohorts by birth year: 1900-1924 and 1925-1948. Latent growth curve models (LGCM) were compared across cohort and educational levels. Results: LGCM indicated divergence between adults with lower and higher educational attainment in longitudinal trajectories of change with age in the Balance and Flexibility factors for the later born cohort only. Discussion: Results support the cumulative advantage theory and suggest that education-health disparities are increasing in recent cohorts, even in counties with national health care systems and strong support of education.

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OBJECTIVES: Mindfulness-based relapse prevention (MBRP) for substance use disorders (SUDs) appears to be particularly effective among individuals with high levels of co-occurring affective symptoms. We sought to understand whether changes in approach and avoidance coping may explain the effects of MBRP among this subpopulation. METHOD: The sample included 286 individuals with SUDs randomized to MBRP, relapse prevention (RP), or treatment-as-usual (TAU) as an aftercare treatment. We conducted conditional indirect effect models with treatment condition as the predictor, baseline affective symptoms as the moderator, changes in approach and avoidance coping over time from baseline through 6-months post-treatment as mediators, and substance use and substance-related problems at 12-months post-treatment as the outcome. Affective symptomatology at baseline was modeled as a latent factor indicated by depression, anxiety, and PTSD symptoms. Change in approach and avoidance coping was modeled using latent growth curve analyses. RESULTS: We found significant conditional indirect effects of MBRP, such that the interaction of MBRP vs. TAU by affective symptoms predicted increases in approach coping, which in turn predicted fewer heavy drinking days and substance-related problems at month 12. Follow-up analyses showed that increases in approach coping mediated the therapeutic effect of MBRP on these outcomes among those with high, but not low or moderate, affective symptoms. We did not find indirect or conditional indirect effects when comparing RP to TAU, or when avoidance coping was the mediator. CONCLUSIONS: The pronounced therapeutic effects of MBRP among individuals with SUD and relatively higher negative affective symptoms may be due to increases in approach coping over time.

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This study examines teams as complex adaptive systems (tCAS) and uses latent growth curve modeling to test team cohesion as an initial condition conducive to team performance over time and the mediational effect of team coordination on this relationship. After analyzing 158 teams enrolled in a business game simulation over five consecutive weeks, we found that change in team coordination was best described by a continuous linear change model, while change in team performance was best described by a continuous nonlinear change model; and the mediation latent growth curve model revealed a negative indirect effect of team cohesion on the level of change in team performance over time, through the level of change in team coordination. This study contributes to the science of teams by combining the notions of initial conditions with co-evolving team dynamics, hence creating a more refined temporal approach to understanding team functioning.

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The autoregressive latent trajectory (ALT) model synthesizes the autoregressive model and the latent growth curve model. The ALT model is flexible enough to produce a variety of discrepant model-implied change trajectories. While some researchers consider this a virtue, others have cautioned that this may confound interpretations of the model's parameters. In this article, we show that some-but not all-of these interpretational difficulties may be clarified mathematically and tested explicitly via likelihood ratio tests (LRTs) imposed on the initial conditions of the model. We show analytically the nested relations among three variants of the ALT model and the constraints needed to establish equivalences. A Monte Carlo simulation study indicated that LRTs, particularly when used in combination with information criterion measures, can allow researchers to test targeted hypotheses about the functional forms of the change process under study. We further demonstrate when and how such tests may justifiably be used to facilitate our understanding of the underlying process of change using a subsample (N = 3,995) of longitudinal family income data from the National Longitudinal Survey of Youth.

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