Parallel-process Latent Growth Curve Model Research Articles

The Dynamic Relationships between Educational Expectations and Science Learning Performance among Students in Secondary School and Their Later Completion of a STEM Degree.

The educational expectations of students for themselves have been commonly corroborated to directly predict their higher academic performance. Nevertheless, some recent research has reported that the academic performance of students may also contribute to their better development of educational expectations. Moreover, more advanced but limited research has argued that both the educational expectations and academic performance of students are developmental and changeable over time rather than fixed and stable. Due to the importance of students' science learning performance during the years of secondary school in relation to their later STEM development in adulthood, the current study is intended to investigate how the developmental and growth trajectories of students' educational expectations and science learning performance reciprocally affect each other directly and inversely in secondary school and then later contribute to their successful completion of a STEM degree in adulthood. Based on the six-wave panel data containing a nationally representative sample of adolescent students from the Longitudinal Study of American Youth (LSAY), the current study was conducted by parallel-process latent growth curve modeling (PP-LGCM) and found that both the developmental and growth trajectories of students' educational expectations and science learning performance were mutually predictive of each other across the years of secondary school, which then contributed to their later higher likelihood of successful completion of a STEM degree in adulthood. In addition, the conditional direct PP-LGCM model, which is to model the effects of students' educational expectations on their science learning performance, and the conditional inverse PP-LGCM model, which is to model the effects of students' science learning performance on their educational expectations, showed significant within- and cross-domain effects differently. The implications of the study findings related to educational reforms and policy designs are discussed.

Trajectories of adaptive functioning from early childhood to adolescence in autism: Identifying turning points and key correlates of chronogeneity.

Previous research has demonstrated heterogeneous adaptive outcomes across the autism spectrum; however, the current literature remains limited in elucidating turning points and associated factors for longitudinal variability (chronogeneity). To address these empirical gaps, we aimed to provide a finer-grained characterization of trajectories of adaptive functioning from early childhood to adolescence in autism. Our sample (N=406) was drawn from an inception cohort of children diagnosed Autistic at ages 2-5. Adaptive functioning was assessed with Vineland Adaptive Behavior Scales (VABS, 2nd Edition) across 6 visits from the time of diagnosis by age 18. Parallel-process latent growth curve modeling were used to estimate domain-level VABS trajectories, followed by latent class growth analysis to identify trajectory subgroups. Child characteristics at diagnosis, family demographics, and participation outcomes at adolescence were compared across subgroups. Piecewise latent growth models best described VABS trajectories with two turning points identified at around ages 5-6 and 9-10, respectively reflecting transitions into school age and early adolescence. We parsed four VABS trajectory subgroups that vary by level of functioning and change rate for certain domains and periods. Around 16% of the sample exhibited overall adequate functioning (standard score >85) with notable early growth and social adaptation during adolescence. About 21% showed low adaptive functioning (standard score ≤70), with decreasing slopes by age 6 followed by improvements in communication and daily-living skills by age 10. The other two subgroups (63% in total) were characterized by adaptive functioning between low and adequate levels, with relatively stable trajectories entering school age. These subgroups differed most in their cognitive ability at diagnosis, household income, and social participation in adolescence. We identified key individual and family characteristics and time windows associated with distinct adaptive functioning trajectories, which have important implications for providing timely and tailored supports to Autistic people across developmental stages.

EFFECTS OF A SPECIFIC NARRATIVE GROUP PRACTICE ON HEALTH OUTCOMES OF CHINESE OLDER ADULTS: AN RCT STUDY

Abstract In view of the rising chronicity during older adulthood, a specific narrative group practice is developed to improve well-being. Narrative therapy (NT), views people as experts in their own lives, and have accrued their life wisdom through their lifespan. To test its effects, a randomized controlled trial design was used to assess and compare outcomes between the intervention and waitlist-controlled group. A total of 157 older adults were recruited, 82 of which was randomly assigned to 9 intervention groups to receive four 2-hour NT sessions, recording difficult life circumstances, through narrative conversations, which made them stronger. Quantitative assessment of well-being, and depression were conducted at baseline (T0), at the end of treatment (T1), and at two (T2) and 8 months after treatment (T3). By employing the SEM parallel-process latent growth curve model, the results from the 4 waves of longitudinal data suggesting that the NT intervention have positive impact the participants, in particular the improved well-being of the participants contributed to the reduction of depressive symptoms with standardised estimate -0.502, p = 0.007. The estimated model fulfilled the criteria of mediocre fit, with TLI = 0.943; CFI = 0.969; RMSEA = 0.053. No adverse reaction was recorded in any of the cases mentioned at all study-sites. These findings have significant theoretical and practice implications for both health and social care professions. NT offers an effective practice to develop a strength- and meaning-based group practice and ground a new theory for to develop a constructive perspective to late life development.

Co-development of mindful awareness and Chinese youth's mental health problem: Based on parallel-process latent growth curve model

BackgroundThis study investigated the natural development pattern of mindful awareness and its relation with mental health in a sample of Chinese youth. Methods1,483 students (57.11% boys) from fourth to ninth grade (Mage = 11.18 ± 1.78, Wave 1) participated in the study. Students participated in up to 3 waves of assessment, each spaced approximately 6 months. The data were collected by the Chinese version of the Mindful Attention Awareness Scale-Children (MAAS-C), the Chinese Version of 10-item CES-D Depression Scale (CESD-10), and the Academic Pressure subscale of Inventory of Influencing Factors of Trait Anxiety for Secondary School Students (IIFTAS). ResultsCross-sectionally, higher graders scored lower mindful awareness than lower graders. Results of latent growth curve analysis showed a slight decrease, but not at a significant level, of mindful awareness in the longitudinal measurement. Results from the parallel-process model indicated that decreases in mindful awareness significantly predicted children and adolescents' depressive emotions and academic pressure. LimitationsAs a longitudinal study, the time points were insufficient and all variables were assessed by self-report measures. ConclusionMindful awareness might be a significant protector for youth when co-developing with mental health problems.

Influences of target congruence and lifestyles on victimization trajectories: An Autoregressive Latent Trajectory Modeling approach to overlap between bullying and victimization

IntroductionRelative to the general victimization literature, a small body of literature has examined the longitudinal process of overlap between bullying perpetration and bullying victimization. To address this gap, this study assesses the dynamic process of bullying perpetration and victimization from a developmental perspective and examine the applicability of target congruence and lifestyle-routine activities approach. MethodsUsing data from 2,378 Korean youths collected from 2012 to 2016, the current study has conducted a Parallel Process Latent Growth Curve Modeling (PPLGCM) analysis to examine co-development and sequentially contingent processes of bullying and victimization, and Autoregressive Latent Trajectory Modeling (ALTM) to examine the time-lagged effect of bullying on victimization. ResultsResults from the PPLGCM revealed a significant and positive relationship between the initial levels of bullying and victimization as well as a reciprocal and cumulative influence over time. The ALTM analysis indicated that increased victimization in the previous year was associated with increased victimization in the following year. Further, time-concurrent and time-lagged effects of bullying on victimization were significant and positive. Finally, target congruence and risky lifestyle variables predicted the longitudinal process of victimization, indicating the cross-cultural generalizability of the theory. ConclusionsThe findings offer support for a complex and dynamic relationship between bullying and victimization, and thus call for developmentally sensitive prevention strategies.

Longitudinal Moderated Mediation Analysis in Parallel Process Latent Growth Curve Modeling in Intervention Studies.

Intervention studies are used widely in nursing research to explore the efficacy of intervention programs for changing targeted health outcomes. However, the analyses of such studies have focused predominantly on their main intervention effects; most studies ignore the mechanisms underlying how the intervention programs work partly because of lack of application details of the longitudinal mediation analysis techniques. The aim of this study was to illustrate an application of parallel process latent growth curve modeling (PP-LGCM) to examine longitudinal moderated mediation effects. Longitudinal data from an online bone health intervention study were used to demonstrate the step-by-step application of PP-LGCM with Mplus statistical software. With modification indices, we were able to achieve adequate model fit for PP-LGCM in our data. The mediation effects of self-efficacy on the intervention effects on exercise were nonsignificant for the entire sample. However, the conditional indirect effect showed the mediation effects were moderated by age group. PP-LGCM provides an efficient way to analyze and explain the underlying mechanisms for the intervention effects in a trial, especially when the intervention program is guided by a theory.

Longitudinal association between deviant peer affiliation and externalizing behavior problems by types of child maltreatment

BackgroundPrevious research has documented that deviant peer affiliation (DP) and externalizing behavior problems (EXT) are highly related and often co-occur. However, the directionality of the association between DP and EXT remains debatable. In addition, few studies have examined the longitudinal effects of child maltreatment types on co-development of DP and EXT overtime. Therefore, this study examined the role of child maltreatment in predicting the co-development of DP and EXT. MethodsDP and EXT were assessed at ages 12, 14, and 16. DP was measured using 13 items from the modified version of the Youth Risk Behavior and Monitoring the Future Survey. EXT was measured using the Child Behavior Checklist. Each type of child maltreatment (birth to age 12) was assessed using the CPS substantiated cases. ResultsThe results indicated that, on average, DP increased over time, whereas EXT decreased over time. In addition, the initial levels of EXT were associated with the slope of DP. Conditional parallel-process latent growth curve modeling identified that physically abused adolescents had higher initial levels of DP and showed a slower increase in DP, while those who had been emotionally abused were associated with a steeper decrease in EXT. ConclusionThe findings offer several meaningful implications for practice. First, early assessment of and treatment for EXT may be helpful in preventing DP over time. In addition, practitioners could assess each type of maltreatment to tailor preventive interventions for early onset and ongoing development of DP and EXT.

Loneliness, Social Anxiety Symptoms, and Depressive Symptoms in Adolescence: Longitudinal Distinctiveness and Correlated Change.

Loneliness, social anxiety symptoms, and depressive symptoms are internalizing problems that are highly intertwined and often co-occur during adolescence. This overlap and co-occurrence raises the question whether three different labels are used for the same underlying phenomenon. The present study adopts a comprehensive approach to this issue by investigating the development of the three phenomena simultaneously. Specifically, this study aimed to investigate (1) the developmental trend for all three internalizing problems separately, (2) whether they are best described by a single developmental trend, (3) how they co-develop across adolescence, and (4) gender differences in this co-development. The analyses were run in three three-wave longitudinal samples of adolescents with one-year intervals in order to verify the robustness of the findings. Sample 1 (roughly ages 15, 16, and 17) comprised 549 adolescents (63% girls), and Samples 2 and 3 (roughly ages 13, 14, and 15) comprised 811 adolescents (46% girls) and 1101 adolescents (52% girls), respectively. Latent growth curve modeling for the three phenomena separately showed either small increases or stable patterns. A comparison of a Multiple Indicator Latent Growth Model (MILGM) with a Parallel Process Latent Growth Curve Modeling (PPLGCM) showed that the three internalizing problems followed unique, but related, developmental trends across adolescence. The intercepts of the three phenomena were positively correlated with one another in all samples and increases in loneliness were associated consistently with increases in social anxiety symptoms. Only in Sample 3 evidence was found for a similar association between loneliness and depressive symptoms and between social anxiety symptoms and depressive symptoms. Except for differences in initial levels, gender differences in the development of the three problems were limited. Overall, the results of the present study clearly indicate that the three internalizing problems are longitudinally distinct from one another, but co-develop across adolescence.

Dynamic association between AT(N) profile and cognition mediated by cortical thickness in Alzheimer’s continuum

BackgroundThe recently-proposed National Institute on Aging and Alzheimer’s Association research framework organizes Alzheimer’s disease (AD) biomarkers based on amyloid/tau/neurodegeneration (AT(N)). This study investigated the mediating effect of structural change in brain MRI on changes in cognitive function according to initial AT(N) profiles. MethodsWe included 576 subjects (cognitively unimpaired (N = 136), mild cognitive impairment (N = 294), dementia (N = 146)) from the Alzheimer’s disease Neuroimaging Initiative study. The parallel-process latent growth curve model was applied to test the mediational effect of cortical thickness growth trajectory between the initial AT(N) profiles and cognitive growth trajectory. ResultsIn Alzheimer’s continuum, only the A + T + (N)+ profile showed a mediational effect of the cortical thickness growth trajectory. A + T − (N)− was not sufficient to induce direct or indirect effects on cognitive dysfunction, and A + T + (N)− showed a significant direct path from an altered cortical thickness to cognitive decline. ConclusionThe sequential effect between changes in brain MRI and cognition varied by baseline AT(N) profile, suggesting the dynamic changes in the relationships among biomarkers in the current cascade model.

Leisure time activities as mediating variables in functional disability progression: An application of parallel latent growth curve modeling.

ObjectivesThe aims of this study were to investigate (1) whether and (2) the extent to which Taiwanese older adults’ leisure time activity (LTA) trajectories mediated the potential association between their sociodemographic factors and their functional disability trajectories.MethodsLongitudinal data from four waves of the Taiwan Longitudinal Study on Aging (TLSA), collected between 1996 and 2007, were used for analysis (N = 3,429). Parallel-process latent growth curve modeling was adopted to evaluate the process by which LTA mediated between sociodemographic factors (age, gender, education, self-rated health, comorbidities, and depression) and the outcome process of functional disabilities.ResultsWhen mediated by baseline level of LTA, five sociodemographic factors—age, gender, education level, self-rated health, and number of comorbidities—had significant and negative mediating effects on baseline or change in functional disability, thus improving disability outcomes. However, four of the sociodemographic factors (age, education level, and number of comorbidities), when mediated through the rate of change in LTA, were found to have significant and positive mediating effects, which increased disability levels. The proportion of effects mediated by the LTA trajectory ranged from 0% to 194%.DiscussionThe large proportion of effects mediated through the LTA process underlines the importance of LTA to public health policy and health programs for older adults. The study’s findings shed light on how to better target populations of older adults to promote an active lifestyle and achieve more successful aging in late life in Asian countries.

Co-development of internalizing and externalizing behavior problems during early childhood among child welfare-involved children

Using parallel-process latent growth curve modeling, we examine developmental trajectories of internalizing and externalizing behavior problems and identify early risk factors for behavior problems among 329 child welfare-involved children followed from age 2years to 5 years. Data are drawn from the National Survey of Child and Adolescent Well-Being II. On average, internalizing behavior problems remained stable, while externalizing behavior problems decreased over time. Higher initial levels of internalizing behavior problems were associated with higher initial levels of externalizing behavior problems. Rates of change also had positive cross-domain relationships. Child neglect, exposure to intimate partner violence (IPV), insecure caregiver-child attachment, and caregiver mental health problems were associated with higher initial levels of internalizing and externalizing behavior problems. Exposure to IPV, out-of-home care, and caregiver drug use predicted rates of change in behavior problems. Our findings highlight the importance of comprehensive assessment and treatment for co-occurring internalizing and externalizing behavior problems in young children involved in the child welfare system. Results also indicate the need for identifying and addressing early risk factors to prevent early onset and continued development of behavior problems in high-risk children.

Problem gambling symptomatology and alcohol misuse among adolescents: A parallel-process latent growth curve model.

The objective of the current study was to examine the possible temporal associations between alcohol misuse and problem gambling symptomatology from adolescence through to young adulthood. Parallel-process latent growth curve modeling was used to examine the trajectories of alcohol misuse and symptoms of problem gambling over time. Data were from a sample of adolescents recruited for the Leisure, Lifestyle, and Lifecycle Project in Alberta, Canada (n = 436), which included 4 assessments over 5 years. There was an average decline in problem gambling symptoms followed by an accelerating upward trend as the sample reached the legal age to gamble. There was significant variation in the rate of change in problem gambling symptoms over time; not all respondents followed the same trajectory. There was an average increase in alcohol misuse over time, with significant variability in baseline levels of use and the rate of change over time. The unconditional parallel process model indicated that higher baseline levels of alcohol misuse were associated with higher baseline levels of problem gambling symptoms. In addition, higher baseline levels of alcohol misuse were associated with steeper declines in problem gambling symptoms over time. However, these between-process correlations did not retain significance when covariates were added to the model, indicating that one behavior was not a risk factor for the other. The lack of mutual influence in the problem gambling symptomatology and alcohol misuse processes suggest that there are common risk factors underlying these two behaviors, supporting the notion of a syndrome model of addiction. (PsycINFO Database Record

The mediational effects of FDG hypometabolism on the association between cerebrospinal fluid biomarkers and neurocognitive function

Positive cerebrospinal fluid (CSF) biomarkers of tau and amyloid beta42 suggest possible active underlying Alzheimer's disease (AD) including neurometabolic dysfunction and neurodegeneration leading to eventual cognitive decline. But the temporal relationship between CSF, imaging markers of neural function, and cognition has not been described. Using a statistical mediation model, we examined relationships between cerebrospinal fluid (CSF) analytes (hyperphosphorylated tau (p-Tau181p), β-amyloid peptides 1–42 (Aβ1–42), total tau (t-Tau), and their ratios); change in cognitive function; and change in [18F]fluorodeoxyglucose (FDG) uptake using positron emission tomography (PET). We hypothesized that a) abnormal CSF protein values at baseline, result in cognitive declines by decreasing neuronal glucose metabolism across time, and b) the role of altered glucose metabolism in the assumed causal chain varies by brain region and the nature of CSF protein alteration.Data from 412 individuals participating in Alzheimer's Disease Neuroimaging (ADNI) cohort studies were included in analyses. At baseline, individuals were cognitively normal (N=82), or impaired: 241 with mild cognitive impairment, and 89 with Alzheimer's disease. A parallel-process latent growth curve model was used to test mediational effects of changes in regional FDG-PET uptake over time in relation to baseline CSF biomarkers and changes in cognition, measured with the 13-item Alzheimer Disease's Assessment Scale–cognitive subscale (ADAS–Cog).Findings suggested a causal sequence of events; specifically, FDG hypometabolism acted as a mediator between antecedent CSF biomarker alterations and subsequent cognitive impairment. Higher baseline concentrations of t-Tau, and p-Tau181p were more predictive of decline in cerebral glucose metabolism than lower baseline concentrations of Aβ1–42. FDG-PET changes appeared to mediate t-Tau or t-Tau/Aβ1–42-associated cognitive change across all brain regions examined. Significant direct effects of alterations in Aβ1–42 levels on hypometabolism were observed in a single brain region: middle/inferior temporal gyrus.Results support a temporal framework model in which reduced CSF amyloid-related biomarkers occur earlier in the pathogenic pathway, ultimately leading to detrimental cognitive effects. Also consistent with this temporal framework model, baseline markers of neurofibrillary degeneration predicted changes in brain glucose metabolism in turn causing longitudinal cognitive changes, suggesting that tau-related burden precedes neurometabolic dysfunction. While intriguing, the hypothesized mediational relationships require further validation.

Exploring the impact of alcohol and marijuana use on commercial sexual exploitation among male youth using parallel-process latent growth curve modeling

Few studies have explored the longitudinal relationship between commercial sexual exploitation (CSE) and the use of specific types of substances by male youth. To gain a more comprehensive understanding of the links between CSE and substance use in male youth, the current study explored this connection using longitudinal data collected from a sample of 98 male serious youthful offenders with reported incidents of CSE/prostitution. Study findings indicated that alcohol use and marijuana use, rather than the use of more serious types of drugs, were concurrently linked to involvement in CSE/prostitution. Using parallel-process latent growth modeling, associations between alcohol and marijuana use were observed, with alcohol use significantly impacting chronic and persistent CSE/prostitution. The findings highlight the need for CSE intervention programs designed for male youth to include screening and treatment for marijuana – and especially alcohol – use.

Participation in Team Sports and Alcohol and Marijuana Use Initiation Trajectories.

A parallel-process latent growth curve model was used to model alcohol and marijuana use (vs. nonuse). Participation in team sports and gender were considered to be time-invariant covariates. The sample consisted of 8,179 youth from the National Survey of Parents and Youth. Data were collected over four yearly rounds. Analysis revealed that being part of a competitive sports team was related to a lower probability of marijuana initiation, but to increased rates of alcohol use over time. Males had significantly higher levels of marijuana initiation and decreases in rates of alcohol use over time; females had significantly greater rate of increase in alcohol use over time. Analysis suggests that youth involved in sports are less likely to use marijuana over time. This information may help to uncover other predictors of use over time and to inform policy making as well design as effective prevention.

Factors that influence trajectories of change in frequency of substance use and quality of life among adolescents receiving a brief intervention

This study aimed to identify factors influencing trajectories of change in two outcome domains, frequency of substance use and quality of life (QOL), among adolescents receiving a brief evidence-based intervention. Participants were 106 adolescents, aged 13 to 21 years, who met criteria for a substance use disorder. The adolescents received a five-session intervention and completed four assessments over 12 months. Based upon a theoretical and empirical review, five putative predictors were tested: gender, age, severity of conduct disorder, severity of depression, and peer substance involvement. Results of a parallel-process latent growth curve model indicated that higher peer substance involvement and conduct severity predicted higher frequency of use at baseline, whereas higher peer substance involvement and depression severity predicted poorer QOL at baseline. Counter to predictions, higher depression severity predicted greater improvements in QOL following substance use treatment. The implications of baseline risk factors on adolescents' response to intervention are discussed.

Longitudinal association between frequency of substance use and quality of life among adolescents receiving a brief outpatient intervention.

Recognition of the broad consequences of adolescent substance abuse has led to increased emphasis on balancing traditional measures of treatment effectiveness, such as frequency of substance use, with measures of patient functioning and quality of life (QOL). This study evaluated the longitudinal association between frequency of use and QOL among adolescent substance abusers receiving a brief outpatient intervention. Participants were 106 adolescents, aged 13 to 21 years, who met criteria for substance abuse or dependence and completed 4 assessments over a 12 month period. Results of a parallel-process latent growth curve model indicated a moderate longitudinal association, such that reduced frequency of use was associated with QOL improvement. Elaboration of the temporal ordering of this association via a cross-lagged panel model revealed that frequency of substance use predicted subsequent QOL, but that QOL did not predict subsequent frequency of use. Implications pertaining to the assessment of comprehensive outcomes and the setting of treatment expectations are discussed.

Resistive Efficacy and Multiple Sexual Partners Among American Indian Young Adults: A Parallel-Process Latent Growth Curve Model

Contracting a sexually transmitted disease (STD) is one of the most serious public health issues for adolescents and young adults; rates of STDs among American Indian youth are among the highest of any racial or ethnic group in the United States. Although it is one of the key risk factors for spreading STDs, little is known about individual development of multiple sexual partners in any ethnic group. Drawing from social cognitive theory, this study used latent growth curve modeling with a sample of 518 American Indian adolescents and young adults to delineate the relationship across 4 years between youths' confidence in resisting risk and the number of sexual partners they had. The development of resistive efficacy was similar across genders: Although women reported higher levels at all time points, both genders increased across time. Men reported relatively stable levels of sexual partners; women had fewer sexual partners initially, but the number increased significantly and then decelerated. Further, the 2 trajectories had significant interdependence: Both intercepts and slopes were negatively related to each other across construct, suggesting that increasing resistive efficacy was related to decreasing number of sexual partners.