Latent growth factors as predictors of distal outcomes.

A currently overlooked application of the latent curve model (LCM) is its use in assessing the consequences of development patterns of change-that is as a predictor of distal outcomes. However, there are additional complications for appropriately specifying and interpreting the distal outcome LCM. Here, we develop a general framework for understanding the sensitivity of the distal outcome LCM to the choice of time coding, focusing on the regressions of the distal outcome on the latent growth factors. Using artificial and real-data examples, we highlight the unexpected changes in the regression of the slope factor which stand in contrast to prior work on time coding effects, and develop a framework for estimating the distal outcome LCM at a point in the trajectory-known as the aperture-which maximizes the interpretability of the effects. We also outline a prioritization approach developed for assessing incremental validity to obtain consistently interpretable estimates of the effect of the slope. Throughout, we emphasize practical steps for understanding these changing predictive effects, including graphical approaches for assessing regions of significance similar to those used to probe interaction effects. We conclude by providing recommendations for applied research using these models and outline an agenda for future work in this area. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Impacts of Burn Severity and Frequency on Erosion in Western Arnhem Land, Australia.

Wildfires are pivotal to the functioning of many ecosystems globally, including the magnitude of surface erosion rates. This study aims to investigate the relationships between surface erosion rates and wildfire intensity in the tropical north savanna of Australia. The occurrence of fires in western Arnhem Land, Northern Territory, Australia was determined with remotely sensed digital datasets as well as analogue erosion measurement methods. Analysis was performed using satellite imagery to quantify burn severity via a monthly delta normalised burn ratio (dNBR). This was compared and correlated against on-ground erosion measurements (erosion pins) for 13 years. The dNBR for each year (up to +0.4) displayed no relationship with subsequent erosion (up to ±4 mm of erosion/deposition per year). Poor correlation was attributed to low fire severity, patchy burning, significant time between fires and erosion-inducing rainfall. Other influences included surface roughness from disturbances from feral pigs and cyclone impacts. The findings here oppose many other studies that have found that fires increase surface erosion. This accentuates the unique ecosystem characteristics and fire regime properties found in the tropical Northern Territory. Scenarios of late dry season fires with high severity were not observed in this study and require more investigations. Ecosystems such as the one examined here require specialised management practices acknowledging the specific ecosystem functions and processes. The methods employed here combine both analogue and digital sensors to improve understandings of a unique environmental system.

"My Blood, You Know, My Biology Being out There ": Consent and Participant Control of Biological Samples.

The widespread and persistent underrepresentation of groups experiencing health disparities in research involving biospecimens is a barrier to scientific knowledge and advances in health equity. To ensure that all groups have the opportunity to participate in research and feel welcome and safe doing so, we must understand how research studies may be shaped to promote inclusion. In this study, we explored the decision to participate in hypothetical research scenarios among African American adults (n = 169) that varied on the basis of four attributes (form of consent, reason for research, institutional affiliation and race of the researcher). Findings indicate that participants were largely willing to contribute to biobanks but significantly preferred opportunities where they had control over the use of their biological samples through tiered or study-specific forms of consent. Broad consent procedures, although common and perhaps preferred by participants with high trust in researchers, may amount to an exclusionary practice.

A Randomized Clinical Trial of Online Social Intelligence Training With Custodial Grandmothers.

BACKGROUND AND OBJECTIVES: In this study, we investigated the efficacy of a self-administered, online Social Intelligence Training (SIT) program aimed at enhancing psychological and relational well-being among a nationwide U.S. sample of custodial grandmothers. RESEARCH DESIGN AND METHODS: A two-arm randomized clinical trial (RCT) was conducted, where 349 grandmothers raising grandchildren aged 11-18 years were assigned to either SIT or an attention control condition (ACC). Participants self-completed online surveys at baseline and immediately postintervention, in addition to follow-ups at 3-, 6-, and 9-month postintervention. First-order latent difference score models were used to compare SIT to ACC, across all times of measurement, along key indicators of psychological and relational well-being on an intent-to-treat basis. RESULTS: Although SIT was largely superior to ACC at yielding positive results, it appears that it attenuated longitudinal declines that occurred among ACC participants. SIT also exerted stronger effects on relational than psychological outcomes, with perceived relations with grandchildren being the most positively affected. DISCUSSION AND IMPLICATIONS: Given that the historical time of this RCT unpredictably corresponded with the coronavirus disease 2019 pandemic, we suspect that SIT helped offset declines in psychological and relational well-being that are widely documented to have resulted from the pandemic. Our overall positive findings support future use of the inexpensive and easily delivered SIT program under normal environmental conditions, with the vulnerable and geographically disperse population of custodial grandmothers. CLINICAL TRIALS REGISTRATION NUMBER: NCT03239977.

Prenatal anticipatory stress: Baby preparation and worry scale-revised in the Dutch context.

BACKGROUND: Prenatal distress encompasses a range of different emotions, worries, and experiences of stress. The Baby Preparation and Worry Scale (Baby-PAWS) was recently developed to target anticipatory worries during pregnancy about the postnatal period. However, the Baby-PAWS questionnaire was only examined in the United States of America, limiting the questionnaire's generalizability to different countries. To address this issue, we performed a psychometric evaluation of the questionnaire in a Dutch sample and examined associations between the Baby-PAWS questionnaire and established measures of maternal distress (i.e., EPDS, STAI, PRAQ-R) and infant temperament (i.e., IBQ-R). METHODS: Healthy pregnant women (N = 521) completed questionnaires during their third trimester and postnatally, including the Baby-PAWS and distress measures. A subsample of mothers (N = 194) also reported on infant temperament at 12 weeks postpartum. RESULTS: Exploratory factor analysis suggested a four-factor structure for the 16-item questionnaire in our Dutch sample, as compared to the expected three-factor structure found in the original psychometric evaluation with the American sample. The total Baby-PAWS score was related to pre-and postnatal depression, anxiety, stress, and specific scales of infant temperament. American women scored higher on the Baby-PAWS items than Dutch women. LIMITATIONS: Our participants had higher-than-average socioeconomic status, limiting the generalizability of the findings. CONCLUSION: The current analyses indicate good validity of the Baby-PAWS in a Dutch sample. Furthermore, our results highlight cross-cultural differences in perinatal mental health and show the importance of examining instrument structure of context-dependent constructs, such as prenatal worries.

Associations between mothers' and fathers' depression and anxiety prior to birth and infant temperament trajectories over the first year of life: Evidence from diagnoses and symptom severity.

BACKGROUND: Developmental shifts in infant temperament predict distal outcomes including emerging symptoms of psychopathology in childhood. Thus, it is critical to gain insight into factors that shape these developmental shifts. Although parental depression and anxiety represent strong predictors of infant temperament in cross-sectional research, few studies have examined how these factors influence temperament trajectories across infancy. METHODS: We used latent growth curve modeling to examine whether mothers' and fathers' anxiety and depression, measured in two ways - as diagnostic status and symptom severity - serve as unique predictors of developmental shifts in infant temperament from 3 to 12 months. Participants included mothers (N = 234) and a subset of fathers (N = 142). Prior to or during pregnancy, both parents were assessed for lifetime diagnoses of depression and anxiety as well as current severity levels. Mothers rated their infants' temperament at 3, 6, and 12 months of age. RESULTS: Mothers' depression and anxiety primarily predicted initial levels of temperament at 3 months. Controlling for mothers' symptoms, fathers' depression and anxiety largely related to temperament trajectories across infancy. Lifetime diagnoses and symptom severities were associated with distinct patterns. LIMITATIONS: Infant temperament was assessed using a parent-report measure. Including an observational measure would provide a more comprehensive picture of the infants' functioning. CONCLUSIONS: These results indicate that mothers' and fathers' mental health are uniquely associated with infant temperament development when measured using diagnostic status and/or symptom severity. Future studies should examine whether these temperament trajectories mediate intergenerational transmission of risk for depression and anxiety.

A structural equation modeling approach for modeling variability as a latent variable.

Drawing upon recent developments in structural equation modeling, the current study presents an analytical framework for addressing research questions in which, rather than focusing on means, it is intraindividual (or intragroup) variability that is of direct research interest. Beyond merely serving as an alternative to existing multilevel modeling approaches, this framework allows for extensions to accommodate a variety of complex research scenarios by parameterizing variability as a latent variable that can in turn be embedded within a broader covariance and mean structure involving other observed and/or latent variables. The estimation procedures and parameter interpretation for the latent random variability models are discussed. The versatility of the proposed methods is demonstrated through four empirical examples. The Mplus, BUGS, and Stan model syntax for the illustrative examples are supplied to facilitate the application of the methods. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The development of place value concepts: Approximation before principles.

Place value concepts were measured longitudinally from kindergarten (2017) to first grade (2018) in a diverse sample (n = 279; Mage  = 5.76 years, SD = 0.55; 135 females; 41% Black, 38% White, 8% Asian, 12% Latino). Children completed three syntactic tasks that required an explicit understanding of base-10 symbols and three approximate tasks that could be completed without this explicit understanding. Approximate performance was significantly better in both age groups. A factor analysis confirmed that syntactic and approximate tasks tapped separate latent variables in kindergarten, but not in first grade. Path analyses indicated that only kindergarten approximate performance predicted overall first-grade place value understanding. These findings suggest that explicit understanding of base-10 principles develops from implicit, partial knowledge of multidigit numbers.

Predictors and moderators of treatment efficacy in reducing custodial grandmothers' psychological distress.

It is increasingly recommended that hypothesis-generating studies be conducted after initial RCTs in order to identify moderators of differential treatment efficacy on individual outcomes. Such analyses are important because they help clarify the best inclusion and exclusion criteria or choice of stratification for maximizing power in subsequent RCTs, reduce the chances of discarding interventions that may appear to lack efficacy when only average treatment effects are taken into consideration, and facilitate the matching of individual clients to treatment alternatives. We identified predictors and moderators of treatment-related change in psychological distress among custodial grandmothers (n = 343) assigned within a prior RCT to behavior parent training (BPT), cognitive behavior therapy (CBT), or information only control (IOC) conditions. Latent change scores in psychological distress were estimated for each grandmother across pre-test to post-test and pre-test to six months, as indicated by self-reported and clinical ratings of depression and anxiety symptoms. These estimates served as outcomes in classification and regression tree analyses conducted separately within the CBT and BPT conditions to identify predictors of treatment efficacy. Matched groups based upon identified predictors were then formed across all RCT conditions, and Predictor × RCT Condition interactions were computed to test for moderation of differential treatment efficacy. Grandmother age was the only predictor and moderator of BPT efficacy at both measurement points, whereas multifaceted predictors and moderators emerged for CBT which varied by time since treatment.

The mental health implications of COVID-19 for adolescents: Follow-up of a four-wave longitudinal study during the pandemic.

On March 11, 2020, the World Health Organization declared a pandemic due to the global outbreak of the novel coronavirus disease 2019 (COVID-19). While scientists have moved quickly to study the physical health implications of the disease, less attention has been paid to the negative mental health repercussions. The current study utilized a community sample of adolescents who had recently completed a 2-year, four wave study of adolescent mental health (Wave 1 n = 184, Mage = 13.9 years; 50.3% female). Participants were recontacted to assess their anxiety, depression, and emotion dysregulation symptoms during the pandemic. Latent growth modeling based on four pre-COVID time points indicated the extent to which the fifth (COVID) time point deviated from trend expectations. Results showed that (a) anxiety and depression scores were significantly higher than previous trajectories would have predicted, and (b) deviations from personal trajectories were associated with higher levels of perceived lifestyle impact due to the pandemic. Furthermore, gender-based analyses revealed that financial impacts, lifestyle impacts, and coronavirus fear were differentially associated with symptom increases for male and female participants. The current study is among the first to report that adolescent mental health trajectories have been altered in the face of the COVID-19 pandemic. As physical distancing and other safety precautions may be required for several years, it is essential that we gain a deep understanding of how prevention efforts are associated with significant disruptions to youth mental health to bolster youth resilience during these unprecedented times. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Developmental changes in episodic memory across early- to mid-childhood: insights from a latent longitudinal approach.

Episodic memory is a cornerstone ability that allows one to recall past events and the spatiotemporal context in which they occur. In an effort to characterise the development of this critical ability, many different tasks have been used independently to assess age-related variations in episodic memory. However, performance on memory tasks is multiply determined, and the extent to which different tasks with varying features relate to each other and represent episodic memory as a latent cognitive construct across childhood is unclear. The present study sought to address this question by exploring the feasibility of using four different laboratory-based tasks to characterise changes in episodic memory ability during early- to mid-childhood in 200 typically developing children (4-8 years). Using longitudinal data and a structural equation modeling framework, results suggest that multiple tests of episodic memory can be utilised to indicate a comparable latent construct of episodic memory ability over this period of development, and that this ability improves consistently between 4 to 8 years. Overall, results highlight that episodic memory measured as a construct increases at a similar rate over early- to mid-childhood and demonstrate the benefits of using multiple laboratory tasks to characterise developmental changes in episodic memory.

Model-based incremental validity.

As an important facet of construct validity, incremental validity has been the focus of many applied investigations across a wide array of disciplines. Unfortunately, traditional methodological approaches for studying incremental validity, typically rooted in multiple regression, have many limitations that can hinder such assessments. In the current work, a strategy based in structural equation modeling is offered that greatly expands researchers' ability to investigate incremental validity of multiple individual predictors or blocks of predictors all within a single structural model. Models for four different research scenarios are presented, where the predictors of focal interest are: (a) individual measured predictors, (b) individual latent predictors, (c) blocks of measured predictors, and (d) blocks of latent predictors. Technical details of model specifications and model constraints are provided, and flexible extensions to other interesting questions (e.g., comparisons across populations) are discussed. Two empirical examples are included to illustrate the application of the proposed methods in different applied settings; complete Mplus and R syntax for both illustrative examples is supplied. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Reading Achievement of Deaf Students: Challenging the Fourth Grade Ceiling.

Historically it has been reported that deaf students do not achieve age-appropriate outcomes in reading, with this performance often being characterized in terms of a fourth grade ceiling. However, given the shifts in the field during the past 20 years (e.g., widespread implementation of newborn hearing screening, advances in hearing technologies), it would be timely to question whether this continues to serve as a meaningful benchmark. To this end, the purpose of this study was to investigate reading outcomes of a Canadian cohort of school-aged deaf learners (N = 70) who all used listening and spoken language as the primary mode of communication. Specifically, the goal was to establish whether their achievement approached that of their hearing age peers and to identify demographic factors influencing performance (i.e., gender, unilateral/bilateral hearing loss, personal amplification, level of auditory functioning, grade placement, additional disabilities, home language). Results indicate that participants obtained standard scores in the average range on both the Basic Reading and Reading Comprehension clusters of the Woodcock Johnson III-Diagnostic Reading Battery (Woodcock et al., 2004), surpassing the fourth grade reading achievement ceiling often reported for this population.

Modeling longitudinal changes in hippocampal subfields and relations with memory from early- to mid-childhood.

The hippocampus has been suggested to show protracted postnatal developmental growth across childhood. Most previous studies during this developmental period have been cross-sectional in nature and have focused on age-related differences in either hippocampal subregions or subfields, but not both, potentially missing localized changes. This study capitalized on a latent structural equation modeling approach to examine the longitudinal development of hippocampal subfields (cornu ammonis (CA) 2-4/dentate gyrus (DG), CA1, subiculum) in both the head and the body of the hippocampus, separately, in 165 typically developing 4- to 8-year-old children. Our findings document differential development of subfields within hippocampal head and body. Specifically, within hippocampal head, CA1 volume increased between 4-5 years and within hippocampal body, CA2-4/DG and subiculum volume increased between 5-6 years. Additionally, changes in CA1 volume in the head and changes in subiculum in the body between 4-5 years related to improvements in memory between 4-5 years. These findings demonstrate the protracted development of subfields in vivo during early- to mid-childhood, illustrate the importance of considering subfields separately in the head and body of the hippocampus, document co-occurring development of brain and behavior, and highlight the strength of longitudinal data and latent modeling when examining brain development.

Oh No! They Cut My Funding! Using "Post Hoc" Planned Missing Data Designs to Salvage Longitudinal Research.

Having one's funding cut in the course of conducting a longitudinal study has become an increasingly real challenge faced by developmental researchers. The main purpose of the current work is to propose "post hoc" planned missing (PHPM) data designs as a promising solution in such difficult situations. This study discusses general guidelines that can be followed to search for viable PHPM designs within a given budget restriction. Illustrative examples across different longitudinal research contexts are provided, each showing how PHPM data designs can help salvage longitudinal studies when an unexpected funding cut occurs mid-study. With the illustrative examples, the article also shows how developmental researchers can conveniently identify viable designs using the R package simPM.

Baby preparation and worry scale (Baby-PAWS): Instrument development and psychometric evaluation.

BACKGROUND: The Baby Preparation and Worry Scale (Baby-PAWS) addresses expectant mothers' anticipatory worries regarding the transition to parenthood, focusing on practical concerns (i.e., ability to care for the infant, securing childcare, personal wellbeing, and partner involvement). AIMS: The present study describes measurement development, psychometric evaluation, and predictive and concurrent validity of Baby-PAWS, administered during pregnancy. STUDY DESIGN: We used a repeated-measures design, with anonymous self-report obtained during the 3rd trimester of pregnancy and at 2 months postpartum. SUBJECTS: Healthy pregnant women (N = 276) completed Baby-PAWS and measures of depression, general anxiety, and pregnancy-specific anxiety. Demographic, pregnancy, and birth-related information (e.g., complications, gestational age) was also obtained. At postpartum follow-up, the majority (n = 154) met inclusion criteria and provided data on themselves and their infants. OUTCOME MEASURES: Prenatally, we examined correlations between Baby-PAWS and established measures of general anxiety, pregnancy-specific anxiety, and depression. Postnatally, Baby-PAWS scores were used to predict maternal depression, anxiety, and infant temperament. RESULTS AND CONCLUSIONS: Two factor-analytic techniques indicated a three-factor structure, with internal consistency for all three components and the overall scale. We labeled the three factors: Self and Partner Worry, Non-parental Childcare Worry, and Baby Caregiving Worry, based on item content. Higher Baby-PAWS scores were associated with greater anxiety and depression in the third trimester. Predictive links with postpartum anxiety/depression symptoms and infant temperament were observed for the overall Baby-PAWS score and Self and Partner Worry factor. Although this instrument requires further evaluation, it offers promising utility in research and clinical settings.

Is prenatal maternal distress context-dependent? Comparing United States and the Netherlands.

BACKGROUND: Maternal anxiety and depression symptoms during pregnancy can compromise a woman's well-being and affect offspring development. The present study represents a comparison of maternal late-pregnancy internalizing symptoms (i.e., depression and anxiety) between the United States of America (US) and the Netherlands. We hypothesized that women in the US would report higher levels of anxiety and depression during pregnancy compared to their Dutch counterparts, both on individual symptom indicators and overall latent distress, due to more favorable policies/accessible services relevant to perinatal health in the Netherlands. METHODS: Pregnant women were recruited at two comparable sites in the Netherlands (n = 327) and the US (n = 228). Measures included self-reports of internalizing distress and key covariates (i.e., parity, gestational, and maternal age). RESULTS: Expectant mothers in the US reported higher depressive and anxiety symptoms compared to their Dutch counterparts. Results were consistent across individual internalizing symptom indicators and the overall latent prenatal distress means computed for US and Dutch samples, with an estimated large effect size for the latter after controlling for covariates. LIMITATIONS: Despite their relatively large sizes, our samples were limited in their representativeness of the two cultures and mechanisms contributing to observed differences were not examined. CONCLUSIONS: Pregnant women in the US reported higher levels of depression and anxiety symptoms than women in the Netherlands. Implications concern perinatal policy and clinical services (e.g., emotional health support provided to mothers).

Modeling development of frontal electroencephalogram (EEG) asymmetry: Sex differences and links with temperament.

Asymmetric patterns of frontal brain electrical activity reflect approach and avoidance tendencies, with stability of relative right activation associated with withdrawal emotions/motivation and left hemisphere activation linked with approach and positive affect. However, considerable shifts in approach/avoidance-related lateralization have been reported for children not targeted because of extreme temperament. In this study, dynamic effects of frontal electroencephalogram (EEG) power within and across hemispheres were examined throughout early childhood. Specifically, EEG indicators at 5, 10, 24, 36, 48, and 72 months-of-age (n = 410) were analyzed via a hybrid of difference score and panel design models, with baseline measures and subsequent time-to-time differences modeled as potentially influencing all subsequent amounts of time-to-time change (i.e., predictively saturated). Infant sex was considered as a moderator of dynamic developmental effects, with temperament attributes measured at 5 months examined as predictors of EEG hemisphere development. Overall, change in left and right frontal EEG power predicted declining subsequent change in the same hemisphere, with effects on the opposing neurobehavioral system enhancing later growth. Infant sex moderated the pattern of within and across-hemisphere effects, wherein for girls more prominent left hemisphere influences on the right hemisphere EEG changes were noted and right hemisphere effects were more salient for boys. Largely similar patterns of temperament prediction were observed for the left and the right EEG power changes, with limited sex differences in links between temperament and growth parameters. Results were interpreted in the context of comparable analyses using parietal power values, which provided evidence for unique frontal effects.

Using classification and regression tree analysis to explore parental influenza vaccine decisions.

BACKGROUND AND OBJECTIVES: Influenza poses a public health threat for children and adults. The CDC recommends annual influenza vaccination for children <18 years, yet vaccine uptake remains low for children (57.9%) and adults (37.1%). Given that parental decision-making is key in childhood vaccine uptake, there is a critical need to understand vaccine hesitancy among parents who decide not to vaccinate their children. This study aims to explore predictors of children's influenza vaccine status given parental vaccination status and examine the factors that contribute to concordance or discordance between parental and children's vaccine uptake. METHODS: Classification and regression tree (CART) analyses were used to identify drivers of parental decisions to vaccinate their children against influenza. Hierarchy and interactions of these variables in predicting children's vaccination status were explored. RESULTS: From a nationally representative sample of non-Hispanic Black and White parents who completed an online survey (n = 328), the main factors influencing parents' decisions to vaccinate their children were vaccine behavior following physician recommendation, knowledge of influenza recommendations for children, influenza vaccine confidence and disease risk. Among unvaccinated parents, the greatest concordance was observed among parents who usually do not get vaccinated following physician recommendation and had lower knowledge of recommendations for influenza vaccination for children. The greatest discordance was observed among unvaccinated parents who had lower hesitancy about recommended vaccines. CONCLUSIONS: Understanding drivers of parental decisions to vaccinate themselves and their children can provide insights on health communication and provider approaches to increase influenza vaccine coverage and prevent influenza related mortality.