Twin Studies Research Articles

Evaluation of product lifecycle management and digital twin integration in aviation field

In today's world, digital transformation is becoming increasingly crucial in industry. The Digital Twins and simulations become much more important with growing complexity of products, the need to accelerate product development processes while reducing costs. The increasing value of Digital Twins is prompting organizations in the aviation industry to actively utilize them in research and development efforts. However, due the idea of difficulties of using Digital Twins in the industries, product developers don’t have a clear idea where to begin. This article provides readers with a general overview of the current situation by offering an examination of the aviation sector. Initially, the concept of Digital Twin, its evolution, and relevant studies are explored, followed by an examination of the impact of creating Digital Twins for companies operating in aviation on the product development process. In this study, unlike other published works, the concept of Digital Twin is explained under three subheadings. These include the Design Digital Twin for design steps, the Production Digital Twin for manufacturing processes, and the Performance Digital Twin for post-delivery work related to the product. The final section of the study evaluates the contribution of Product Lifecycle Management (PLM) systems to the process of creating Digital Twins and the advantages they provide to companies in product development processes. The present research work does not contain any studies performed on animals/humans subjects by any of the authors.

Model-Driven Development Towards Distributed Intelligent Systems

A Distributed Intelligent System (DIS) encompasses a set of intelligent subsystems and components that collaborate to perform tasks and solve problems. Given the advancements of paradigms such as the Internet of Things, along with the advancements of technologies such as Machine Learning and Digital Twins, DISs are on the rise. These systems are increasingly integrating components that perform intelligent functions, and these intelligent functions are increasingly heterogeneous and varied. Moreover, there is no standardized framework to help researchers and practitioners adequately address DISs. As a result, the complexity, interoperability issues, and development time and costs of these systems are growing. However, Model-Driven Development (MDD) can help to address these challenges by providing a Domain-Specific Language (DSL) for developing DISs. In this work, a DSL for the design, validation, generation, and deployment of DISs is proposed. Firstly, the proposed DSL captures in a metamodel the key and high-level abstract concepts of the distinct DISs documented in the literature. Then, it allows modeling of DISs conforming to this metamodel. Subsequently, the DSL enables formal validation of the modeled systems. Lastly, it allows the generation and deployment of all DISs into production. Therefore, the work undertaken in this communication provides a methodological, formal, and standardized approach to defining and developing DISs from a high level of abstraction. This work allows users to address DISs by facilitating agility, minimizing manual tasks, and reducing the number of defects introduced in their development. To illustrate the applicability of the proposed DSL, a real case study of an agricultural digital twin is presented.

Trends of genetic contributions on epigenetic clocks and related methylation sites with aging: A population-based adult twin study.

Several crucial acceleration periods exist during aging process. Epigenetic clocks, serving as indicators of aging, are influenced by genetic factors. Investigating how the genetic contributions on these clocks change with age may provide novel insights into the aging process. In this study, based on 1084 adult twins from the Chinese National Twin Registry (CNTR), we established structural equation models (SEMs) to evaluate the trends in genetic influence with aging for epigenetic clocks, which include PC-Horvath, PC-Hannum, PC-PhenoAge, PC-GrimAge, and DunedinPACE. A decline in overall heritability was observed for all five clocks from ages 31 to 70, with a relatively stable trend at first. Subsequently, apart from PC-GrimAge, the other four clocks displayed a more evident drop in heritability: DunedinPACE and PC-PhenoAge experienced a clear decline between 55 and 65 years, while PC-Horvath and PC-Hannum showed a similar decrease between 60 and 70 years. In contrast, the heritability of PC-GrimAge remained stable throughout. An analysis of methylation sites (CpGs) from these clocks identified 41, 26, 4, and 36 CpG sites potentially underlying heritability changes in DunedinPACE, PC-Horvath, PC-Hannum, and PC-PhenoAge, respectively. Data from the CNTR were collected through two surveys in 2013 and 2018. Based on 308 twins with longitudinal data, declines in genetic components were observed at follow-up compared to baseline, with significant decreases in the four PC-clocks. DunedinPACE peaked in 5-year longitudinal genetic contribution changes at age 55-60, while PC-clocks consistently peaked at age 50-55. These findings may offer novel insights into the role of genetic variations in aging.

Can a warm and supportive adult protect against mental health problems amongst children with experience of adversity? A twin-differences study.

Adverse childhood experiences (ACEs) are associated with mental health problems, but many children who experience ACEs do not develop such difficulties. A warm and supportive adult presence in childhood is associated with a lower likelihood of developing mental health problems after exposure to ACEs. However, it is unclear whether this association is causal, as previous research has not accounted for genetic and environmental confounding. We used the twin-difference design to strengthen causal inference about whether a warm and supportive adult presence protects children exposed to ACEs from mental health problems. Participants were from the Environmental Risk (E-Risk) Longitudinal Twin Study, a UK population-representative birth cohort of 2,232 same-sex twins. ACEs were measured prospectively from ages 5 to 12. Maternal warmth was assessed at ages 5 and 10 through maternal speech samples. Adult support was assessed through child reports at age 12. Mental health problems were assessed through interviews at age 12 with parents and teachers and participants at age 18. Among children exposed to ACEs, those who experienced greater maternal warmth and adult support had lower levels of mental health problems at ages 12 and 18. In monozygotic twin-difference analyses, the protective effects of maternal warmth and adult support on mental health were attenuated by 70% for maternal warmth and 81% for adult support, compared to phenotypic analyses. Twins who experienced greater maternal warmth and adult support had minimal or no difference in mental health compared to their co-twins, concordant for ACE exposure. The apparent protective effect of a warm, supportive adult against mental health problems following ACEs is largely explained by genetic and environmental confounding. This suggests that interventions which boost maternal warmth and adult support should be supplemented by components addressing wider family environments and heritable vulnerabilities in children exposed to adversity, to improve mental health.

What is the ideal thyroid-stimulating hormone (TSH) threshold value in congenital hypothyroidism screening? Twin study.

Congenital hypothyroidism is the most common preventable cause of intellectual disability. Therefore, the majority of developed countries have aimed to diagnose cases early through screening programs. In these screening programs, levels of thyroid-stimulating hormone (TSH) and free thyroxine are examined in dried blood spots taken between days 3 and 5 of life. While many countries accept TSH threshold value of 8 mU/L, there is still no consensus on the ideal TSH threshold value. As no twin studies on the TSH threshold value have been conducted previously, this study was planned. Eight pairs of twins were included in the study, with one of the twins having plasma TSH value ≥8 mU/L and the other <8 mU/L, measured between days 3 and 5 of life. The study aimed to investigate whether determining threshold TSH value of 8 mU/L would be beneficial by comparing somatic growth, mental development, and neuromotor development between twins. The age, gender, gestational weeks, birth weights, height, weight, and initial TSH values taken between days 3 and 5 of all cases were recorded. The patients' plasma Vitamin B12, folate, 25-OH Vitamin D, ferritin, and hemoglobin levels were measured. After that, they were evaluated by a child and adolescent psychiatry. Finally, the Denver Developmental Test was applied to the cases. There was no significant impairment in somatic growth, mental development, and neuromotor development in the long-term outcomes of cases with plasma TSH ≥ 8 mU/L compared to those with plasma TSH < 8 mU/L among the twins participating in our study.

A Large-Scale Geographically Explicit Synthetic Population with Social Networks for the United States

Within the geo-simulation research domain, micro-simulation and agent-based modeling often require the creation of synthetic populations. Creating such data is a time-consuming task and often lacks social networks, which are crucial for studying human interactions (e.g., disease spread, disaster response) while at the same time impacting decision-making. We address these challenges by introducing a Python based method that uses the open data including that from 2020 U.S. Census data to generate a large-scale realistic geographically explicit synthetic population for America’s 50 states and Washington D.C. along with the stylized social networks (e.g., home, work and schools). The resulting synthetic population can be utilized within various geo-simulation approaches (e.g., agent-based modeling), exploring the emergence of complex phenomena through human interactions and further fostering the study of urban digital twins.

Investigating Trivariate Associations Between Risky Sexual Behavior, Internalizing Problems, and Externalizing Problems: A Twin Study.

Risky sexual behavior (RSB) has been linked to externalizing problems, substance use, and, in a recent study by our lab, internalizing problems. The current study builds upon previous work investigating the relationship between RSB and internalizing problems (INT) by controlling for externalizing problems (EXT) to account for the correlation between INT and EXT. We used a twin sample from Colorado (N = 2,544) to investigate phenotypic and genetic relationships between the three latent constructs, as well as potential sex differences in those relationships. We hypothesized that the relationship between RSB and INT would be stronger for females than for males, whereas the relationship between RSB and EXT would be stronger for males than for females. We used phenotypic confirmatory factor analysis and multivariate twin analyses to address research questions. Our results show significant phenotypic relationships among RSB, INT, and EXT and provide modest evidence in males for a significant association between RSB and INT that persists when controlling for EXT, a finding which we interpret with caution. Our sex differences hypothesis was not fully supported, although the direction of effects was in the direction hypothesized for the association between RSB and INT. We discuss the complexity of RSB as a phenotype and the potential implications for public health.

Association between wildfire-related PM2.5 and epigenetic aging: a twin and family study in Australia

Association between wildfire-related PM2.5 and epigenetic aging: a twin and family study in Australia

Traumatic life events as predictors for depression in middle-aged men and women: A Finnish twin study

BackgroundWe examined exposure to adulthood traumatic life events (TLEs) and their associations with depression in women and men. Then we examined whether those associations are independent of exposure loading and vulnerability including familial confounding. MethodsThe fourth survey in 2011 of the population-based Finnish Twin Cohort had 8410 participants (45 % men, mean age 60 years). Using the Center for Epidemiologic Studies Depression (CES-D) scale, depression was defined using a cut-off value ≥20. Participants reported exposure to TLEs during adulthood. Logistic regression adjusted for multiple covariates was used as the individual-based analyses. Familial confounding was tested using conditional logistic regression in 399 twin pairs discordant for depression. ResultsMore women (15 %) than men (11 %) were depressed. Men reported more traffic accidents (men: 11.8 %, women: 7.4 %), other serious accidents (11.8 %, 5.8 %), and violent crime (3.1 %, 2.0 %) whereas women reported more sexual assault (0.7 %, 10.6 %). Violent crime (Odds Ratio 3.86; 95 % Confidence Intervals 2.59, 5.73), sexual assault (3.49; 2.67, 4.55), physical assault (3.10; 2.45, 3.93), and other serious accidents (1.36; 1.01, 1.85) were associated with depression. These associations, except other serious accidents, remained significant after adjusting for multiple covariates including shared familial factors. The associations did not differ by sex. LimitationsA relatively small set of relevant TLEs was reported retrospectively and the order of TLEs was not assessed. ConclusionsWomen and men differ in exposure to TLEs but, if exposed, they are equally vulnerable for depression. Because traumatic life events are robustly associated with depression, they should be considered in treatment.

Observational Causality Testing

ABSTRACTIn prior work, we have introduced an asymptotic threshold of sufficient randomness for causal inference from observational data. In this paper, we extend that prior work in three main ways. First, we show how to empirically estimate a lower bound for the randomness from measures of concordance transported from studies of monozygotic twins. Second, we generalize our methodology for application on a finite population, and we introduce methods to implement finite population corrections. Third, we generalize our methodology in another direction by incorporating measured covariate data into the analysis. The first extension represents a proof of concept that observational causality testing is possible. The second and third extensions help to make observational causality testing more practical. As a theoretical and indirect consequence of the third extension, we formulate and introduce a novel criterion for covariate selection. We demonstrate our proposed methodology for observational causality testing with numerous example applications.

Common Genetic Influence on the Relationship Between Gaming Addiction and Attention Deficit Hyperactivity Disorder in Young Adults: A Twin Study.

Although the relationship between gaming addiction (GA) and attention deficit hyperactivity disorder (ADHD) is well established, the causal mechanism of this relationship remains ambiguous. We aimed to investigate whether common genetic and/or environmental factors explain the GA-ADHD relationship. We recruited 1413 South Korean adult twins (837 monozygotic [MZ], 326 same-sex dizygotic [DZ], and 250 opposite-sex DZ twins; mean age = 23.1 ± 2.8 years) who completed an online survey on GA and related traits. Correlational analysis and bivariate model-fitting analysis were conducted. Phenotypic correlation between GA and ADHD in the present sample was 0.55 (95% CI [0.51, 0.59]). Bivariate model-fitting analysis revealed that genetic variances were 69% (95% CI [64%, 73%]) and 68% (95% CI [63%, 72%]) for ADHD and GA respectively. The remaining variances (ADHD: 31%; GA: 32%) were associated with nonshared environmental variances, including measurement error. Genetic and nonshared environmental correlations between ADHD and GA were 0.68 (95% CI [0.62, 0.74]) and 0.22 (95% CI [0.13, 0.30]) respectively, which indicates that shared genes can explain 82% of the phenotypic correlation between ADHD and GA. Our study demonstrated that the ADHD-GA association was largely due to shared genetic vulnerability.

A review of the risk factors for Autism

Abstract Background Autism Spectrum Disorder (or Autism) is a neurodevelopmental and neurological condition, with prevalence of 1 in 100 children globally. This review examines the most common factors associated with Autism. Methods We conducted a scoping review of factors associated with an increased risk of developing Autism. These included genetic predisposition, parental age, gender, birth complications and morbidities due to other medical conditions. Results Evidence from twin studies shows a 90% genetic predisposition towards Autism - with 102 genes strongly associated with Autism, including SCN1A and SLC6A1. There are also genetic syndromes and chromosomal disorders associated with Autism, including Fragile X syndrome and Tuberous Sclerosis complex (TSC). Several studies have demonstrated an increased risk with advanced parental age (&amp;gt;35 years) (e.g., fathers &amp;gt;50 years are 2.2 times more likely to have a child with Autism than those &amp;lt;30 years). Other factors include infections during pregnancy (e.g. immune dysfunction) and gestational diabetes. Prematurity, such as low birth weight (&amp;lt;1500g) and low gestational age (&amp;lt;32 weeks) are also associated with an increased risk of Autism. With regard to gender, boys are more likely to be diagnosed with Autism - gender ratio of 3:1 and 4:1 has been reported in different populations. Abnormalities in brain development during early prenatal or postnatal periods may increase the risk of Autism. These abnormalities can lead to social, communication, and behavioural challenges characteristic of Autism. Conclusions Autism is a complex and heterogeneous condition that likely arises from a combination of factors such as genetic susceptibility and pre- and postnatal factors. An understanding of these factors is important for early detection, intervention, and support for children to improve their quality of life and reduce morbidity. Key messages • Risk factors associated with an increased risk of developing Autism include genetic predisposition, parental age, gender, birth complications and other comorbidities. • There is need to increase awareness of the risk factors of Autism to improve quality of life.

Considering Sufficient Weight Loss as a Prerequisite for Development of Anorexia Nervosa and Atypical Anorexia Nervosa.

Because premorbid BMI strongly predicts the amount of weight loss in anorexia nervosa (AN)/atypical AN, we hypothesize that weight loss triggers both disorders by inducing the endocrine adaptation to starvation. We propose research to capture the onset of AN/atypical AN following intentional, otherwise behaviorally motivated, or unintentional weight loss in relationship to premorbid weight. We propose retrospective and prospective studies to examine the temporal development of symptoms in AN/atypical AN. Given a greater frequency of weight loss behaviors in individuals with high BMIs, patients with intentionally driven weight loss should demonstrate a higher mean weight loss and greater premorbid weight and shape concerns. Practice guidelines necessitateweight gain for AN recovery, yet how weight gain induces improvements is unspecified and warrants systematic elucidation. Finally, we highlight implications for the current conceptualization of genetic and environmental contributors of AN/atypical AN in twin and molecular genetic studies. We propose separating the starvation-induced mechanisms relevant for AN/atypical AN development from the reasons/mechanisms inherent to weight loss.

Shedding Light on Antisocial Behavior Through Genetically Informed Research.

Antisocial behavior (ASB) refers to a set of behaviors that violate social norms and disregard the well-being and rights of others. In this review, we synthesize evidence from studies using genetically informed designs to investigate the genetic and environmental contributions to individual differences in ASB. We review evidence from studies using family data (twin and adoption studies) and measured DNA (candidate gene and genome-wide association studies) that have informed our understanding of ASB. We describe how genetically informative designs are especially suited to investigate the nature of environmental risk and the forms of gene-environment interplay. We also highlight clinical and legal implications, including how insights from genetically informed research can help inform prevention and intervention, and we discuss some challenges and opportunities within this field of research.

Genetic polymorphism involved in major depressive disorder: a systemic review and meta-analysis

Background and objectiveGenetic polymorphism studies in families and twins indicated the heritability of depression. However, the association between genes with genetic polymorphism and depression provides various findings and remains unclear. Therefore, we conducted a systematic review and meta-analysis to determine the genes with their polymorphism associated with the symptomatic depression known as major depressive disorder (MDD).Materials and methodsPubMed and Scopus were searched for relevant studies published before May 22, 2023 (1968–2023), and 62 were selected for this review. The study’s bias risk was investigated using the Newcastle–Ottawa scale. Gene functional enrichment analysis was investigated for molecular function (MF) and biological process (BP) and pathways. A meta-analysis of the studied genes that were replicative in the same single nucleotide polymorphism was conducted using a random-effect model.ResultsThe 49 genes involved in MDD were studied and engaged in several pathways, such as tryptophan metabolism or dopaminergic and serotonergic synapses. Based on gene overlapping in MF and BP, 13 genes with polymorphisms were identified as related to MDD. Most of them were only studied once. Solute carrier family 6 member 4 (SLC6A4) overlapping between MF and BP and brain-derived neurotrophic factor (BDNF) as unique to BP were replicative studied and used in the meta-analysis. The polymorphism of SLC6A4 SS and LS genotypes increased the occurrence of MDD development but not significantly [odd ratio (OR) = 1.39; 95% confidence interval (CI) = 0.87–2.22; P = 0.16 and OR = 1.13; 95% CI = 0.84–1.53; P = 0.42, respectively]. A similar result was observed for BDNF rs6265 GG (OR = 1.26; 95% CI = 0.78–2.06; P = 0.35) and BDNF rs6265 AA genotypes (OR = 1.12; 95% CI = 0.77–1.64; P = 0.56). These studies indicated low bias and significant heterogeneity.ConclusionAt least 13 studied genes with polymorphisms were involved in MDD development according to MF and BP, but not significantly. These results suggest that MDD development risk factors might require genetic and other factors for interaction and induction.

A modeling of complex trait phenotypic variance determinants.

Studies have now shown that the heritability of some complex traits, such as human height, can be virtually fully captured via potential use of sufficiently powered approaches that can characterize the associated collective common- and rare-variant additive genetic architecture. However, for other traits, including complex disease traits, full recovery of such narrow sense heritability would still likely fall far short of respective heritability estimates yielded from pedigree-based analyses such as twin studies. Here, it is proposed that such traits could also involve additional types of relevant architecture and underlying genetic mechanism, such that interaction of somatic variants with heritable variants may represent an underappreciated component. The theoretical model suggested predicts that some relevant heritability estimates are systematically inflated by twin studies, and that instead a significant proportion of the phenotypic variances may be explained by specialized types of heritable genotype-by-environment interaction.

Role of IL3RA in a Family with Lumbar Spinal Stenosis.

Lumbar spinal stenosis (LSS) is a degenerative spinal condition characterized by the narrowing of the spinal canal, resulting in low back pain (LBP) and limited leg mobility. Twin and family studies have suggested that genetics contributes to disease progression. However, the genetic causes of familial LSS remain unclear. We performed whole-exome and direct sequencing on seven female patients from a Han Chinese family with LBP, among whom four developed LSS. Based on our genetic findings, we performed gene knockdown studies in human chondrocytes to study possible pathological mechanisms underlying LSS. We found a novel nonsense mutation, c.417C > G (NM_002183, p.Y139X), in IL3RA, shared by all the LBP/LSS cases. Knockdown of IL3RA led to a reduction in the total collagen content of 81.6% in female chondrocytes and 21% in male chondrocytes. The expression of MMP-1, -3, and/or -10 significantly increased, with a more pronounced effect observed in females than in males. Furthermore, EsRb expression significantly decreased following IL3RA knockdown. Moreover, the knockdown of EsRb resulted in increased MMP-1 and -10 expression in chondrocytes from females. We speculate that IL3RA deficiency could lead to a reduction in collagen content and intervertebral disk (IVD) strength, particularly in females, thereby accelerating IVD degeneration and promoting LSS occurrence. Our results illustrate, for the first time, the association between IL3RA and estrogen receptor beta, highlighting their importance and impact on MMPs and collagen in degenerative spines in women.

Research on Digital Twin Method for Spaceborne Along-Track Interferometric Synthetic Aperture Radar Velocity Inversion of Ocean Surface Currents

In this paper, an end-to-end system framework is proposed for the Digital Twin study of spaceborne ATI-SAR ocean current velocity inversion. Within this framework, a fitting inversion approach is proposed to enhance the conventional spaceborne ATI-SAR ocean current velocity inversion algorithm. Consequently, the issue of possible local inversion errors stemming from the mismatch between the traditional spaceborne ATI-SAR inversion algorithm and various dual-antenna configurations is resolved to a certain extent. A simulated spaceborne ATI-SAR system, featuring a dual-antenna configuration comprising a baseline direction perpendicular to the track and a squint angle, is presented to validate the efficacy of the Digital Twin methodology. Under the specified simulation parameters, the average inversion error for the final ocean current velocity is recorded at 0.0084 m/s, showcasing a reduction of 0.0401 m/s compared with the average inversion error prior to optimization.

The interplay of genetic and environmental factors on the morphology of the limbic cortex and hippocampal subfields: Insights from an MRI twin study

IntroductionThe limbic system and the hippocampus are complex brain structures with key roles in memory, emotions, sexual stimulation and learning, with subregion abnormalities associated with a range of disorders and psychopathologies. Our study aimed to explore the heritability of specific subfield structures within the limbic system and hippocampus first in a Caucasian twin sample with volBrain pipeline. Materials and Methods59 healthy adult Caucasian twin pairs from the Hungarian Twin Registry without any history of previous neurodegenerative or cerebrovascular diseases underwent brain MRI on a 3.0 T scanner (43 monozygotic, MZ and 16 dizygotic, DZ pairs, with a median age of 50±+27 years). The volBrain automated volumetry pipeline was used to calculate the subcortical and general brain volumes from three-dimensional T1-weighted images. Based on age- and sex-adjusted MZ and DZ intra-pair correlations, the univariate ACE model was applied to calculate additive genetic, shared and unshared environmental influences. ResultsAdjusting for age and sex, moderate to strong heritability (A: 59.7 to 73.1 %) was found for most limbic cortex volumes, except for the volumes of entorhinal area and posterior cingulate gyrus where common environmental contribution was detected (C: 56.6 % and 65.0 %, respectively). A substantial heritability (A: 67.0 to 79.4 %) was estimated for the overall hippocampus and most subfield volumes, except for the CA2-CA3 region which was determinated by common environmental factors (C: 45.7 %). Unique environmental variance was a minor to moderate contributor across all variables (E: 20.6 to 54.3 %). ConclusionsAlbeit most limbic cortex, overall hippocampus and most subfield volumes are under substantial genetic influence in healthy adult twins, the volumes of entorhinal area, posterior cingulate gyrus and the CA2-CA3 region of the hippocampus are influenced common environmental factors. The findings underline the importance of unique environmental factors which may play a role in the prevention of disorders related to limbic cortex and hippocampus.

Why do prospective and retrospective measures of childhood maltreatment differ? Qualitative analyses in a cohort study

BackgroundResearch indicates that prospective and retrospective measures of maltreatment often identify different groups of individuals, yet the reasons for these discrepancies remain understudied. ObjectiveThis study explores potential sources of disagreement between prospective and retrospective measures of maltreatment, utilising qualitative data from interviewers' notes. Participants and settingThe Environmental Risk Longitudinal Twin Study includes 2232 children followed from ages 5–18. Prospective measures relied on caregiver interviews and researcher observations from ages 5–12, while retrospective measures involved self-reports via the Childhood Trauma Questionnaire at age 18. MethodsWe purposively sampled written interviewer notes from 36 participants who reported more types of maltreatment retrospectively than prospectively (‘new reports’ group) and 31 participants who reported fewer types retrospectively than prospectively (‘omitted reports’ group). We conducted a framework analysis of the notes, comparing between the two groups to explore explanations for measurement disagreement. ResultsThree categories of themes emerged related to measurement discrepancies: challenges with prospective measures, highlighting reasons given by the ‘new reports’ group for why maltreatment went undetected or was not adequately responded to prospectively; challenges with retrospective measures that highlight difficulties with openness and accuracy of self-reports; and differences in appraisals of violence or distressing childhood experiences between the two groups that might lead to new or omitted retrospective reports. ConclusionsOur findings underscore potential mechanisms underlying the disagreement between prospective and retrospective measures, contributing to better understanding of these different constructs and more balanced interpretation of related findings.