Neural and psychological correlates of post-traumatic stress symptoms in a community adult sample.

A multitude of factors are associated with the symptoms of post-traumatic stress disorder. However, establishing which predictors are most strongly associated with post-traumatic stress disorder symptoms is complicated because few studies are able to consider multiple factors simultaneously across the biopsychosocial domains that are implicated by existing theoretical models. Further, post-traumatic stress disorder is heterogeneous, and studies using case-control designs may obscure which factors relate uniquely to symptom dimensions. Here we used Bayesian variable selection to identify the most important predictors for overall post-traumatic stress disorder symptoms and individual symptom dimensions in a community sample of 569 adults (18 to 85 yr of age). Candidate predictors were selected from previously established risk factors relevant for post-traumatic stress disorder and included psychological measures, behavioral measures, and resting state functional connectivity among brain regions. In a follow-up analysis, we compared results controlling for current depression symptoms in order to examine specificity. Poor sleep quality and dimensions of temperament and impulsivity were consistently associated with greater post-traumatic stress disorder symptom severity. In addition to self-report measures, brain functional connectivity among regions commonly ascribed to the default mode network, central executive network, and salience network explained the unique variability of post-traumatic stress disorder symptoms. This study demonstrates the unique contributions of psychological measures and neural substrates to post-traumatic stress disorder symptoms.

Web-Based Relationship Education and Pornography-Related Behaviors: A Single-Group Design During the COVID-19 Pandemic.

Research surrounding pornography and its impact on individual and relationship functioning is a frequent and ongoing debate in the current literature. However, recent meta-analyses and aggregated studies suggest that relationship distress is associated with higher levels of general pornography use. This may be a reason why a significant number of men and women view pornography and seek help for their use. In the present study, we explored whether participation in the OurRelationship program, a web-based relationship education program that has been empirically shown to reduce relationship distress but is not tailored to reduce general pornography use, was associated with reliable changes in pornography-related behaviors. In a sample of low-income and diverse couples (N = 314 couples; 628 individuals), we observed high completion rates (64.3%) as well as reliable, small-sized decreases in the frequency and duration of pornography use for the average couple (d = 0.12-0.13). Furthermore, post hoc analyses found that individuals who began the program viewing pornography daily reported reliability-larger decreases in pornography-related behaviors (d = 0.32-0.90) than those who viewed pornography less frequently. However, we did not see reliable changes in couples' arguments about pornography use or perceptions of problematic use. The findings were generally not moderated by gender or lifestyle changes due to the COVID-19 pandemic. Clinicians struggling to reduce their client's general pornography use may consider including a focus on improving general romantic relationship functioning.

Cognition, Coping, and Psychological Distress in HIV.

Interrelationships among HIV-associated neurocognitive dysfunction, avoidant coping, cognitively-oriented coping, and psychological distress were examined using structural equation modeling in an ethnically diverse sample of 209 adults predominantly in the mid-range of illness. Global neurocognitive deficits, assessed with the HIV-dementia scale, were associated with higher levels of avoidant coping, lower levels of cognitive coping, and a higher avoidant/cognitive coping ratio, which were each in turn associated with higher psychological distress measured by a latent factor comprising symptoms of depression, anxiety, and HIV-related distressing thoughts. There were significant indirect effects through avoidant coping and a higher avoidant/cognitive coping ratio. Results suggest the presence of HIV-associated neurocognitive deficits may interfere with the utilization of cognitive-based coping strategies and increase reliance on  more maladaptive strategies, which in turn may translate to elevated reports of  psychological distress. Findings may help inform interventions aimed at reducing avoidant coping and psychological distress, two factors associated with accelerated HIV disease progression.

Whole-Brain Functional Dynamics Track Depressive Symptom Severity.

Depressive symptoms are reported by 20% of the population and are related to altered functional integrity of large-scale brain networks. The link between moment-to-moment brain function and depressive symptomatology, and the implications of these relationships for clinical and community populations alike, remain understudied. The present study examined relationships between functional brain dynamics and subclinical-to-mild depressive symptomatology in a large community sample of adults with and without psychiatric diagnoses. This study used data made available through the Enhanced Nathan Kline Institute-Rockland Sample; 445 participants between 18 and 65 years of age completed a 10-min resting-state functional MRI scan. Coactivation pattern analysis was used to examine the dimensional relationship between depressive symptoms and whole-brain states. Elevated levels of depressive symptoms were associated with increased frequency and dwell time of the default mode network, a brain network associated with self-referential thought, evaluative judgment, and social cognition. Furthermore, increased depressive symptom severity was associated with less frequent occurrences of a hybrid brain network implicated in cognitive control and goal-directed behavior, which may impair the inhibition of negative thinking patterns in depressed individuals. These findings demonstrate how temporally dynamic techniques offer novel insights into time-varying neural processes underlying subclinical and clinically meaningful depressive symptomatology.

Brain Dynamics Underlying Cognitive Flexibility Across the Lifespan.

The neural mechanisms contributing to flexible cognition and behavior and how they change with development and aging are incompletely understood. The current study explored intrinsic brain dynamics across the lifespan using resting-state fMRI data (n = 601, 6-85 years) and examined the interactions between age and brain dynamics among three neurocognitive networks (midcingulo-insular network, M-CIN; medial frontoparietal network, M-FPN; and lateral frontoparietal network, L-FPN) in relation to behavioral measures of cognitive flexibility. Hierarchical multiple regression analysis revealed brain dynamics among a brain state characterized by co-activation of the L-FPN and M-FPN, and brain state transitions, moderated the relationship between quadratic effects of age and cognitive flexibility as measured by scores on the Delis-Kaplan Executive Function System (D-KEFS) test. Furthermore, simple slope analyses of significant interactions revealed children and older adults were more likely to exhibit brain dynamic patterns associated with poorer cognitive flexibility compared with younger adults. Our findings link changes in cognitive flexibility observed with age with the underlying brain dynamics supporting these changes. Preventative and intervention measures should prioritize targeting these networks with cognitive flexibility training to promote optimal outcomes across the lifespan.

Elucidating mechanisms of quality-of-life disparities in Hispanic women with breast cancer: An examination of disease stage, coping, and affect.

OBJECTIVES: Compared to non-Hispanic white (NHW) women, Hispanic women with breast cancer (BCa) are more likely to be diagnosed at later stages of disease and experience reduced quality of life (QOL) following diagnosis. We hypothesized that the demands of later-stage disease results in a perceived inability to cope and greater distress for Hispanic women, resulting in decreased QOL. METHODS: Hispanic (51%) and NHW (49%) women (N = 198) with newly diagnosed stage 0-3 BCa in Miami were enrolled in two trials between 2006 and 2019. In this cross-sectional analysis, a multiple-group structural equation modeling approach was applied to baseline measures of coping confidence (Measure of Current Status Scale), negative and positive affect (Affect Balance Scale), QOL (Functional Assessment of Cancer Therapy - Breast), and disease stage. RESULTS: In our model, later-stage disease was not associated with worse QOL for Hispanic or NHW women. However, there were differences between Hispanic and NHW women on the path from disease stage to (1) coping confidence, (2) positive affect, and (3) negative affect, such that later disease stage was associated with lower coping confidence (b[SE] = -1.75[0.59], p = 0.002), less positive affect (b[SE] = -0.21[0.10], p = 0.026), and greater negative affect (b[SE] = 0.15[0.08], p = 0.052) among Hispanic, but not NHW, women. In addition, an indirect effect was found from greater stage to poorer QOL via less positive affect among Hispanic women only (b[SE] = -0.49[0.24], p = 0.041). CONCLUSIONS: This data supports our theory that Hispanic women experience worse emotional distress at later-stage disease than do NHW women, in turn impacting QOL.

Child eyewitness researchers often bin age: Prevalence of the practice and recommendations for analyzing developmental trends.

OBJECTIVE: Effective practices for eliciting and analyzing children's eyewitness reports rely on accurate conclusions about age differences in how children retain information and respond to memory probes. Binning, which is the practice of categorizing continuous variables into discrete groups, can lower studies' power to detect age differences and, in some situations, produce significant but spurious effects. In this article, we (a) describe a systematic review that estimated the frequency of binning age in child eyewitness studies, (b) analyze real and simulated data to illustrate how binning can distort conclusions about age and covariate effects, and (c) demonstrate best practices for analyzing and reporting age trends. HYPOTHESES: We expected that researchers would frequently bin age and that we would replicate the negative consequences of binning in the demonstration data sets. METHOD: For the systematic review, we retrieved 58 articles describing child eyewitness studies and determined whether researchers binned age for one randomly selected analysis per article. We then compared alternative ways of analyzing actual and simulated data sets. RESULTS: Researchers binned age for 64% of the analyses (88% of analyses involving experimental manipulations vs. 35% of the nonexperimental analyses, φ = .55, p < .01). A significant age trend in the real data example was nonsignificant when age was treated as categorical, and in the simulated data sets we demonstrate how this practice may lead to detecting a spurious effect. CONCLUSIONS: Treating age as a continuous variable maximizes power to detect real differences without inflating the frequency of spurious results, thereby ensuring that policies regarding child eyewitnesses reflect developmental changes in children's needs and abilities. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

An analytical framework for the embodiment of structural inequities.

OBJECTIVE: The goal of this article is to describe a conceptual multilevel model that provides evidence of embodiment of a societal stressor on the health of the individuals and illustrate with simulated data how omitting components in the analysis model fails to properly capture how context influences health. METHOD: We describe a two-level model with variables at each level: stress at the group level and appraisal at the individual level. These factors are assumed to influence the blood pressure of individuals. Importantly, the person-level predictor is responsible for bringing the group-level predictor to the individual level by a cross-level interaction between stress and appraisal and/or a mediated effect of stress. When combined, the model components may be partitioned into a pure direct effect, a pure indirect effect, pure interaction effect, and an interaction-in-mediation effect. Data were generated in accordance with the model with each component accounting for some proportion of variance in blood pressure. RESULTS: To the extent these components operate in the process of embodiment, a proposition we argue is reasonable, failure to specify the analytic model with all components leads to failure to characterize embodiment and misattribution of the effect and mechanism. CONCLUSIONS: To fully quantify embodiment of a societal stressor on a health outcome, studies should use multilevel designs and estimate cross-level interactions and mediated effects. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Negative global metacognitive biases are associated with depressive and posttraumatic stress disorder symptoms and improve with targeted or game-based cognitive training.

OBJECTIVE: Metacognition is disrupted in several clinical populations. One aspect of metacognition, global metacognitive bias (difference between objective and self-reported abilities), has shown to be particularly relevant to clinical functioning. However, previous studies of global metacognitive biases in populations with elevated depressive/posttraumatic stress disorder (PTSD) symptoms have not measured objective and self-reported abilities relative to normative samples, limiting the quantification of biases. Additionally, few studies have examined whether cognitive interventions can improve metacognitive biases or how this relates to depressive/PTSD symptom severity. METHOD: A total of 84 participants with mild traumatic brain injury (77% veterans) performed PTSD and depression assessments along with self-reported and objective measures of global cognition. Age-adjusted norm-based z scores were used for self-reported and objective cognition, and bias was calculated by subtracting objective minus self-report scores. Participants then received 13 weeks of targeted cognitive training or entertainment games training (both providing performance feedback). Participants were assessed at baseline, immediately posttraining, and 3 months posttraining. RESULTS: We found large negative metacognitive biases in those with clinically significant severity of depressive symptoms (z score difference = -1.77), PTSD symptoms (-1.47), and depressive + PTSD symptoms (-2.29). Metacognitive biases improved after both targeted and entertainment training and was associated with reductions in depressive/PTSD symptom severity (r = -.41/-.42, respectively), led by the entertainment training group (r = -.54/-.46, respectively). CONCLUSIONS: These findings show that clinically significant severity of depressive/PTSD symptoms is associated with substantial negative global metacognitive biases and preliminarily suggests that cognitive training may improve these biases and depressive/PTSD symptom severity. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Brain signal variability and executive functions across the life span.

Neural variability is thought to facilitate survival through flexible adaptation to changing environmental demands. In humans, such capacity for flexible adaptation may manifest as fluid reasoning, inhibition of automatic responses, and mental set-switching-skills falling under the broad domain of executive functions that fluctuate over the life span. Neural variability can be quantified via the BOLD signal in resting-state fMRI. Variability of large-scale brain networks is posited to underpin complex cognitive activities requiring interactions between multiple brain regions. Few studies have examined the extent to which network-level brain signal variability across the life span maps onto high-level processes under the umbrella of executive functions. The present study leveraged a large publicly available neuroimaging dataset to investigate the relationship between signal variability and executive functions across the life span. Associations between brain signal variability and executive functions shifted as a function of age. Limbic-specific variability was consistently associated with greater performance across subcomponents of executive functions. Associations between executive function subcomponents and network-level variability of the default mode and central executive networks, as well as whole-brain variability, varied across the life span. Findings suggest that brain signal variability may help to explain to age-related differences in executive functions across the life span.

Traditionally, regional variability in brain signals has been viewed as a source of noise in human neuroimaging research. Our study demonstrates that brain signal variability may contain meaningful information related to psychological processes. We demonstrate that brain signal variability, particularly whole-brain variability, may serve as a reliable indicator of cognitive functions across the life span. Global variability and network-level variability play differing roles in supporting executive functions. Findings suggest that brain signal variability serves as a meaningful indicator of development and cognitive aging.

Normative data for the Digit Symbol Substitution for diverse Hispanic/Latino adults: Results from the Study of Latinos-Investigation of Neurocognitive Aging (SOL-INCA).

INTRODUCTION: Executive functioning and processing speed are crucial elements of neuropsychological assessment. To meet the needs of the Hispanic/Latino population, we aimed to provide normative data for the Digit Symbol Substitution (DSS) test. METHODS: The target population for the Study of Latinos-Investigation of Neurocognitive Aging included six heritage backgrounds (n = 6177). Average age was 63.4 ± 8.3 years, 54.5% were female, and mean education was 11.0 ± 4.7 years. Participants were administered the DSS as part of a larger battery. Heritage-adjusted DSS scores, and percentile cut-points were created using survey-adjusted regression and quantile regression models. RESULTS: Age, education, sex, heritage, and language preference were associated with DSS scores. DISCUSSION: Significant correlates of DSS performance should be considered when evaluating cognitive performance. Representative DSS norms for Hispanics/Latinos will advance assessment and accuracy of neurocognitive disorder diagnosis in clinical practice. To facilitate interpretation, we provide norms to reduce test biases and developed an online dashboard. Highlights: Normative data for the Digit Symbol Substitution (DSS) for diverse Hispanic/Latino adults: Results from the Study of Latinos-Investigation of Neurocognitive Aging (SOL-INCA) This study is the first to develop norms for the DSS test across four regions of the United States.Factors such as age, education, sex, and Hispanic/Latino heritage and language preference are associated with differences in executive functioning and information processing speed.We created norms and an online dashboard (https://solincalab.shinyapps.io/dsst_shiny/) providing an easily accessible tool to evaluate processing speed and executive functioning in Hispanic/Latino adults.

Neutrophil-to-Lymphocyte Ratio Amplifies the Effects of Aging on Decrements in Grip Strength and Its Functional Neural Underpinnings.

The neutrophil-to-lymphocyte ratio (NLR) is a trans-prognostic biomarker of physiologic stress and inflammation linked to muscle weakness in older adults. Generation of grip force coincides with sustained activity in the primary sensorimotor cortex (SM1). The current study investigates whether whole-brain functional connectivity, that is, degree centrality (CD) of SM1 relates to grip strength and whether both functional measures are predicted by advancing age as a function of the NLR. A structural regression model investigated the main and interactive effects of age and NLR on grip strength and CD of SM1 in 589 adults aged 21-85 years (M = 45.87, SD = 18.06). The model including the entire sample had a good fit (χ 2(4) = 1.63, p = .804). In individuals aged 50 years and older, age predicted lower grip strength and SM1 CD as a function of increasing NLR. In a model stratified by sex, the effect of age, NLR, and their interaction on grip strength are significant for older men but not older women. Analyses support CD of SM1 at rest as a neural biomarker of grip strength. Grip and its neural underpinnings decrease with advancing age and increasing NLR in mid to late life. Age-related decrements in grip strength and functional connectivity of brain regions involved in the generation of dynamic grip appear to be accelerated as a function of systemic physiological stress and inflammation, particularly in older men.

Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology.

In the current paper, we review existing tools for solving variable selection problems in psychology. Modern regularization methods such as lasso regression have recently been introduced in the field and are incorporated into popular methodologies, such as network analysis. However, several recognized limitations of lasso regularization may limit its suitability for psychological research. In this paper, we compare the properties of lasso approaches used for variable selection to Bayesian variable selection approaches. In particular we highlight advantages of stochastic search variable selection (SSVS), that make it well suited for variable selection applications in psychology. We demonstrate these advantages and contrast SSVS with lasso type penalization in an application to predict depression symptoms in a large sample and an accompanying simulation study. We investigate the effects of sample size, effect size, and patterns of correlation among predictors on rates of correct and false inclusion and bias in the estimates. SSVS as investigated here is reasonably computationally efficient and powerful to detect moderate effects in small sample sizes (or small effects in moderate sample sizes), while protecting against false inclusion and without over-penalizing true effects. We recommend SSVS as a flexible framework that is well-suited for the field, discuss limitations, and suggest directions for future development.

Pre-pandemic Executive Function Protects Against Pandemic Anxiety in Children with and Without Autism Spectrum Disorder.

The COVID-19 pandemic may have exacerbated depression, anxiety, and executive function (EF) difficulties in children with autism spectrum disorder (ASD). EF skills have been positively associated with mental health outcomes. Here, we probed the psychosocial impacts of pandemic responses in children with and without ASD by relating pre-pandemic EF assessments with anxiety and depression symptoms several months into the pandemic. We found that pre-pandemic inhibition and shifting difficulties, measured by the Behavior Rating Inventory of Executive Function, predicted higher risk of anxiety symptoms. These findings are critical for promoting community recovery and maximizing clinical preparedness to support children at increased risk for adverse psychosocial outcomes.

Does coparenting improve during the OurRelationship program? Explorations within a low-income sample during the COVID-19 pandemic.

Low-income couples are at an increased risk for relationship instability and divorce, which can have residual impacts on coparenting between the two partners. Growing evidence suggests that brief online relationship education programs can be an effective tool for alleviating relationship distress among low-income couples. However, findings remain mixed when it comes to whether benefits from relationship-focused programs not explicitly addressing coparenting spillover to coparenting among those with children. This preregistered study sought to investigate whether couples participating in an evidence-based online relationship-focused intervention, the OurRelationship program, experienced improvements in coparenting during the coronavirus disease 2019 (COVID-19) pandemic. To expand on the existing literature, coparenting outcomes assessed included partners' gatekeeping behaviors in addition to coparenting satisfaction, given their important implications for partner involvement in parenting. We also examined the extent to which changes in coparenting were moderated by pre-post gains in relationship satisfaction, child gender, division of childcare, and pandemic disruptions. In a sample of 136 low-income couples (N = 272 individuals) and a one-group/pre-post design, we found medium-sized gains in relationship satisfaction (Cohen's d = .76) and small-sized improvements in all coparenting aspects assessed (|d|s = .29-.39). Couples with greater gains in relationship satisfaction experienced greater improvements in coparenting; further, coparenting changes were robust to other moderators. Taken together, findings suggested that brief online relationship education programs, such as the OurRelationship program, may be a promising option to improve coparenting among relationally distressed low-income couples with children during a global health crisis. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Association of cardiometabolic health factors with age-related executive function and episodic memory.

Although decline of cognitive abilities in late life is regarded as a common facet of aging, there is inter-individual variability in this decline. Possible contributors are cardiometabolic risk factors associated with cerebrovascular dysfunction, but a dearth in unifying health-cognition models confound exactly how these risk factors mediate age-related changes in executive function (EF) and episodic memory. This study investigated the indirect effect of age on these cognitive abilities via cardiometabolic risk factors using a structural equation modeling approach. Participants included 738 adults (64% female) ranging from 21 to 85 years of age (M = 47.47, SD = 18.28). An exploratory factor analysis was applied to an EF battery yielding a two-factor solution, consisting of inhibition and cognitive flexibility, that showed acceptable fit (χ2(48) = 101.84, p < .001, CFI = .980, RMSEA = .039, SRMR = .035). The EF latent factors were then included in a confirmatory factor analysis exploring the indirect role of age on episodic memory and EF via blood pressure, cholesterol, triglycerides and body mass index. The theoretical model demonstrated acceptable fit, χ2(108) = 204.071, p < .001, CFI = .972, RMSEA = .035, SRMR = .035. Blood pressure was associated with lower cognitive flexibility (ß = -.20, p < .001) and there was a significant indirect effect of age on episodic memory through cognitive flexibility (ß = .07, p = .021). Results support the "Executive Decline Hypothesis" of age-related episodic memory decline and specifically implicate lower blood pressure control and cognitive flexibility in these changes.

Revisiting the factor structure and construct validity of the Cognitive Failures Questionnaire.

The Cognitive Failures Questionnaire (CFQ; Broadbent et al., 1982) is an established and commonly used self-report measure of cognitive errors experienced in daily life, capturing perceived difficulties with forgetfulness, distractibility, and thinking blunders. Despite frequent use in clinical research and established associations with psychological and neuropsychological disorders, the psychometric properties and construct validity of the CFQ remain ambiguous. This study sought to critically assess the factor structure and external validity of the CFQ. A sample of 839 people (62% female) between 16 and 85 years of age (M = 44.12, SD = 19.54) was drawn from the Nathan Kline Institute-Rockland Sample. Previously published CFQ factor structures were compared via confirmatory factor analysis and the unique variance explained by each factor was assessed. Next, we related the CFQ latent variables to neuropsychological tasks and symptom measures of depression, anxiety domains, inattention, hyperactivity, and impulsivity. A single-factor model was best supported by the data, indicating that the CFQ represents a global measure of subjective cognitive difficulties rather than errors in specific domains. Scores on the CFQ did not predict poorer performance on objective neuropsychological tasks but were related to a range of psychological distress symptoms. Subscales derived from previously published factor structures may provide misleading impressions of the construct validity of the CFQ and are not recommended for use in future research or clinical contexts. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Measurement invariance of a household water insecurity metric in Greater Accra, Ghana: Implications for test-retest reliability.

The mitigation of household water insecurity is recognized as an important component of global poverty alleviation, but until recently was difficult to measure. Several new metrics of household water insecurity have been proposed and validated, but few have been field-tested for reliability in diverse contexts. We used confirmatory factor analysis to test the psychometric equivalence of one such metric-the Household Water Insecurity Experiences (HWISE) scale-across two survey waves administered 18 months apart in similar climatic conditions among households in a peri-urban community outside of Accra, Ghana. The HWISE metric was not equivalent across survey waves, which may be attributable to the metric itself, sample size, subtle instrumentation changes, or other unobserved factors. Test-retest reliability may also be difficult to achieve given the dynamic nature of household water use, and we discuss the implications of using household water insecurity metrics as longitudinal measures of well-being in global anti-poverty programs.

shinyDLRs: A dashboard to facilitate derivation of diagnostic likelihood ratios.

Despite increased recognition of the importance of evidence-based assessment in clinical psychology, utilization of gold-standard practices remains low, including during diagnostic assessments. One avenue to streamline evidence-based diagnostic assessment is to increase the use of diagnostic likelihood ratios (DLRs), derived from receiver operating characteristic curve analyses. DLRs allow for the adjustment of the likelihood that an individual has a disorder based on self-report data (e.g., questionnaires, psychosocial, family history). Although DLRs provide strong and readily implementable psychometric data to guide diagnostic decision-making, analyses necessary to derive DLRs are not commonplace in psychological curriculum and available resources require familiarity with specialized statistical methodologies and software. We developed a free, researcher-oriented dashboard, shinyDLRs (https://dlrs.shinyapps.io/shinyDLRs/), to facilitate the derivation of DLRs. shinyDLRs allows researchers to carry out multiple analyses while providing descriptive interpretations of statistics derived from receiver operating characteristic curves. We present the utility of this interface as applied to several freely available measures of mood and anxiety for the purposes of guiding diagnosis of psychopathology. The sample leveraged to accomplish this goal included 576 youth, 4-19 years of age, and a parent informant, both of whom completed several questionnaires and semi-structured interviews prior to participating in treatment at a university-based research clinic. Lastly, we provide recommendations for inclusion of DLRs in future research investigating the psychometric properties and diagnostic utility of assessments. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Measuring the Frailty Phenotype and its Association with Cognition in Mid-Life and Older Age.

BACKGROUND: Frailty is directly linked to physical robustness and cognitive decline in older age. The Fried Frailty phenotype (FP) is a construct composed of five core symptoms that has been studied predominately in older age. There is little research contrasting the psychometric properties of the FP in mid-life versus older age. OBJECTIVE: We compared the psychometric properties of the FP in mid-life and older age and investigated relationships between the FP and cognition. METHODS: Frailty and neuropsychological assessments were completed on 361 adults, between 45 and 92 years of age, without primary neurological disorders. Confirmatory factor analysis was used to examine FP, indicated by Grip Strength, Gait Speed, Physical Activity, Fatigue, and Weight Loss. Measurement invariance was tested in mid-life (45-64 years) versus older age (≥65 years). Associations were examined between FP and language, executive functions, memory, processing speed, and visuospatial domains as well as a Generalized Cognition factor. Age was tested as a moderator of these associations. RESULTS: Weight Loss was a poor indicator of FP. Factor loadings were comparable across age groups; however, Fatigue was disproportionately higher among those in mid-life. FP was negatively associated with all cognitive domains and remained invariant across age groups. CONCLUSION: Results support the construct validity of the FP and document its stable associations with poorer cognition in middle and older life. Future research investigating central features of frailty earlier in life may offer avenues for developing targeted prevention measures and better characterization of individuals with elevated dementia risk.