Measurement Burst Design Research Articles

Short-term frailty index fluctuations in older adults: Noise or signal?

Reversible short-term fluctuations in the frailty index (FI) are often thought of as representing only noise or error. Here, we assess (1) size and source of short-term FI fluctuations, (2) variation across socio-demographics, (3) association with chronic diseases, (4) correlation with age, frailty level, frailty change, and mortality, and (5) whether fluctuations reflect discrete health transitions. Nationwide, biweekly longitudinal data from 426 community-dwelling older adults (70+) were collected in the FRequent health Assessment In Later life (FRAIL70+) study using a measurement burst design (5,122 repeated observations, median of 13 repeated observations per person). We calculated the intraindividual standard deviation (iSD) of the FI and used location-scale mixed regression models. Mean iSD was 0.04 (SD=0.03). Fluctuations were driven foremost by cognitive problems, somatic symptoms, and limitations in instrumental and mobility-related activities of daily living. Short-term fluctuations correlated with higher FI levels (r=0.62), one-year FI change (r=0.26), and older age (+3% per year). Older adults who took to bed due to a health problem (+50%), those who had an overnight hospital stay (+50%), and those who died during follow-up (+44%) exhibited more FI fluctuations. Short-term FI fluctuations were neither small nor random. Instead, as older adults become frailer, their measured health also becomes more unstable; hence short-term fluctuations in overall health status can be seen as a concomitant phenomenon of the aging process. Researchers and clinicians should be aware of existence of reversible fluctuations in the FI over weeks and months and its consequences for frailty monitoring.

Daily and Half-yearly Associations between Boundary Diffusion and Parent-adolescent Relationship Quality after Divorce.

Boundary diffusion is a particular risk after divorce and has been associated with adolescents' adjustment problems. Yet, its potential impact on parent-adolescent relationship quality is less straightforward, as previous findings support both an alienation and conflict perspective. Therefore these associations (daily and half-yearly) were examined in recently divorced families, addressing both within-dyad changes and between-dyad differences. Data were collected among a sample of N = 133 (pre)adolescents (Mage = 11.76; 51.5% boys) from 76 divorced families, using a measurement burst design: Every six months, 14 consecutive days of daily diaries were collected, for 5 waves. Between dyads, adolescents who experienced more boundary diffusion than others, also reported more conflict with both their parents. Within dyads, when adolescents experienced more boundary diffusion than usual by one of their parents (actor), warmth decreased and conflict increased between this parent and the adolescent, that same and the following day. Adolescents also engaged in more conflict with the other parent that day. These findings mostly supported the conflict perspective: Post-divorce boundary diffusion appears to be a general risk factor for parent-adolescent conflict with both parents, and from day-to-day boundary diffusion was linked to a deteriorated parent-adolescent relationship quality, especially with the parent that triangulated or parentified them. There were no significant long-term associations, nor did any moderator (age, gender, living arrangement) explain heterogeneity in effects.

Revisiting unstable disability and the fluctuations of frailty: a measurement burst approach.

It has been hypothesised that frailty is the root cause of clinically observed but rarely systematically measured unstable disability among older adults. In this study, we measure the extent of short-term disability fluctuations and estimate their association with frailty using intensive longitudinal data. Repeated measurements of disability were collected under a measurement burst design in the FRequent health Assessment In Later life (FRAIL70+) study. A total of 426 community-dwelling older adults (70+) in Austria were interviewed about difficulties with basic, instrumental and mobility-related activities of daily living biweekly up to a total of 14 times in two measurement bursts (2891 and 2192 observations). Baseline frailty was assessed with both physical frailty (FP) and the frailty index (FI). Disability fluctuations were measured with the intra-individual interquartile range (iIQR) and estimated with a two-step generalised mixed regression procedure. Fewer participants were frail at baseline according to FP (11%) than FI (32%). Frail study participants reported not only more severe disability but also had more short-term disability fluctuations (iIQR = 1.0-1.5) compared with their robust counterparts (iIQR = 0). Regression models indicated that baseline frailty was associated with 2-3 times larger short-term disability fluctuations, which were also more prevalent among women, and increased with age and disability severity. Compared with those who were robust, frail older adults were characterised by not only more severe but also more unstable disability. Short-term disability fluctuations are closely tied to disability severity. Future studies should assess both stressors that may cause disability fluctuations among frail older adults as well as their potential consequences to inform frailty-centred care.

Mindfulness and cognitive-behavioral strategies for psychological detachment: Comparing effectiveness and mechanisms of change.

Recovering from work is essential for maintaining occupational well-being, health, motivation, and performance, but recovery is often difficult to achieve. In this study, we evaluated and compared the effectiveness of two (parallel) interventions aimed at promoting recovery: one based on mindfulness and one involving applying cognitive-behavioral strategies. Both interventions were embedded in a measurement burst design, which allowed us to examine the mechanisms underlying change or intervention success. To explore mechanisms of change, we used the stressor-detachment model as a theoretical framework. We operationalized the interventions' effects in three ways: as changes from pretest to posttest, as changes in daily states, and as changes in daily associations. To this end, we used intensive longitudinal data to examine the roles that daily negative activation plays in detachment and strain. In a randomized controlled trial (N = 393), we administered three assessments of traits: pretest, posttest (8 weeks later), and follow-up (3 months after the posttest). We also administered 2 work weeks of experience sampling questionnaires (preintervention and postintervention). Latent change models and Bayes factor equivalence tests revealed that both interventions substantially-and to a similar extent-increased detachment. Bayesian multilevel path models showed improvements in all state variables, including improvements in negative activation, and provided some evidence that mindfulness-based and cognitive-behavioral approaches might tackle different processes at the daily level. We discuss theoretical implications for the literature on recovery from work and specifically for the stressor-detachment model. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Ecology of Human Sleep (EcoSleep) Cohort Study: Protocol for a longitudinal repeated measurement burst design study to assess the relationship between sleep determinants and outcomes under real-world conditions across time of year.

The interplay of daily life factors, including mood, physical activity, or light exposure, influences sleep architecture and quality. Laboratory-based studies often isolate these determinants to establish causality, thereby sacrificing ecological validity. Furthermore, little is known about time-of-year changes in sleep and circadian-related variables at high resolution, including the magnitude of individual change across time of year under real-world conditions. The Ecology of Human Sleep (EcoSleep) cohort study will investigate the combined impact of sleep determinants on individuals' daily sleep episodes to elucidate which waking events modify sleep patterns. A second goal is to describe high-resolution individual sleep and circadian-related changes across the year to understand intra- and inter-individual variability. This study is a prospective cohort study with a measurement-burst design. Healthy adults aged 18-35 years (N = 12) will be enrolled for 12 months. Participants will continuously wear actimeters and pendant-attached light loggers. A subgroup will also measure interstitial fluid glucose levels (six paticipants). Every 4 weeks, all participants will undergo three consecutive measurement days of four ecological momentary assessments each day ('bursts') to sample sleep determinants during wake. Participants will also continuously wear temperature loggers (iButtons) during the bursts. Body weight will be captured before and after the bursts in the laboratory. The bursts will be separated by two at-home electroencephalogram recordings each night. Circadian phase and amplitude will be estimated during the bursts from hair follicles, and habitual melatonin onset will be derived through saliva sampling. Environmental parameters (bedroom temperature, humidity, and air pressure) will be recorded continuously.

Sleep, Health Outcomes and Body Weight (SHOW) study: a measurement burst design study on sleep and risk factors for obesity in black emerging adults in North Carolina, USA

IntroductionBlack emerging adults (18–28 years) have the highest risk of short sleep duration and obesity. This increased risk may be partly explained by greater stress levels, which may result from...

Associations Between Stress, Health Behaviors, and Quality of Life in Young Couples During the Transition to Survivorship: Protocol for a Measurement Burst Study.

Cancer is a life-threatening, stressful event, particularly for young adults due to delays and disruptions in their developmental transitions. Cancer treatment can also cause adverse long-term effects, chronic conditions, psychological issues, and decreased quality of life (QoL) among young adults. Despite numerous health benefits of health behaviors (eg, physical activity, healthy eating, no smoking, no alcohol use, and quality sleep), young adult cancer survivors report poor health behavior profiles. Determining the associations of stress (either cancer-specific or day-to-day stress), health behaviors, and QoL as young adult survivors transition to survivorship is key to understanding and enhancing these survivors' health. It is also crucial to note that the effects of stress on health behaviors and QoL may manifest on a shorter time scale (eg, daily within-person level). Moreover, given that stress spills over into romantic relationships, it is important to identify the role of spouses or partners (hereafter partners) in these survivors' health behaviors and QoL. This study aims to investigate associations between stress, health behaviors, and QoL at both within- and between-person levels during the transition to survivorship in young adult cancer survivors and their partners, to identify the extent to which young adult survivors' and their partners' stress facilitates or hinders their own and each other's health behaviors and QoL. We aim to enroll 150 young adults (aged 25-39 years at the time of cancer diagnosis) who have recently completed cancer treatment, along with their partners. We will conduct a prospective longitudinal study using a measurement burst design. Participants (ie, survivors and their partners) will complete a daily web-based survey for 7 consecutive days (a "burst") 9 times over 2 years, with the bursts spaced 3 months apart. Participants will self-report their stress, health behaviors, and QoL. Additionally, participants will be asked to wear an accelerometer to assess their physical activity and sleep during the burst period. Finally, dietary intake (24-hour diet recalls) will be assessed during each burst via telephone by research staff. Participant enrollment began in January 2022. Recruitment and data collection are expected to conclude by December 2024 and December 2026, respectively. To the best of our knowledge, this will be the first study that determines the interdependence of health behaviors and QoL of young adult cancer survivors and their partners at both within- and between-person levels. This study is unique in its focus on the transition to cancer survivorship and its use of a measurement burst design. Results will guide the creation of a developmentally appropriate dyadic psychosocial or behavioral intervention that improves both young adult survivors' and their partners' health behaviors and QoL and potentially their physical health. DERR1-10.2196/53307.

Longitudinal coupling of emotional wellbeing in parent-adolescent dyads: Evaluating the role of daily life positive affect socialization processes.

This study evaluated the role of bidirectional micro- and macro- level positive affect-related processes in the longitudinal coupling of depressive symptoms in parent-adolescent dyads. Using a measurement-burst design, including dyadic experience sampling methods (ESM) and monthly follow-ups over one year, this work investigated associations between (1) parental depressive symptoms and anhedonia and parental daily-life enhancing and dampening responses to youth positive affect; (2) parental daily-life enhancing and dampening and trajectories of youth positive affect, negative affect, and depressive symptoms across one year; and (3) youth developmental trajectories and prospective parental daily-life enhancing and dampening, and parental depressive symptoms and anhedonia at one-year follow-up. Participants included 146 early adolescents (52.1% girls, 47.9% boys; Mage[SD] = 12.71[.86]) and 139 parents (78.7% mothers; Mage[SD] = 44.11[5.08]). Parental enhancing and dampening were measured using a dyadic ESM procedure at baseline and 12-months. Youth completed monthtly questionnaires assessing depressive symptoms and trait positive and negative affect across 12 months. Parents reported on depressive symptoms and anhedonia at baseline and 12-months. Results showed that parental anhedonia negatively related to parental daily-life enhancing, and youths' perceptions of their parents' enhancing and dampening reciprocally related to youth emotional development across one year, with downstream implications for parents' own symptoms of depression.

FEATURES OF LEARNING FROM HIGH-FREQUENCY COGNITIVE ASSESSMENTS AS DIGITAL BIOMARKERS OF COGNITIVE CHANGE

Abstract In measurement burst designs, participants’ cognitive performance is measured multiple times per day, for several days, forming a measurement burst. Ideally, these are repeated once or twice a year as people age. Such rich longitudinal data are generated by multiple processes (e.g., aging and learning) that operate on multiple timescales. We propose a Bayesian process model that can extract person-specific, substantively meaningful features of learning and change from such data. We show how to model retest gains across measurement bursts, as well as warm-up effects within a burst, while quantifying change across bursts in peak performance and accounting for short-term within-person variability. Individual differences in these features are also linked with psychosocial variables and biomarkers of cognitive decline in a one-step analysis. We also highlight how this approach allows for drawing intuitive inferences on cognitive decline with Bayesian posterior probabilities.

SOCIAL SUPPORT–HEALTH LINKAGES DURING A MAJOR LIFE EVENT: A NEW SPIN ON STRESS-BUFFERING EFFECTS

Abstract Supportive social relationships are posited to confer benefits to longer-term health and well-being, and may be especially protective in the face of adversity, when people can draw on these resources to cope with stressful events (stress buffering effects). Yet, most previous studies have used retrospective, cross-sectional designs, limiting the ability to delineate how the linkages between social support and health may change prospectively as people anticipate and prepare for an upcoming stressor, such as relocating into a senior housing facility and adjusting to the experiences afterward. The Relocation and Transitional Experiences (RELATE) study tracked 154 older adults using a prospective longitudinal measurement burst design as they transitioned into a senior housing facility. The waves (bursts) of assessments were based on the following schedule: Burst 1 (2 weeks prior to the move), Burst 2 (2 weeks after the move), Burst 3 (1.5 months after the move), and Burst 4 (~3-6 months after the move). At each burst, participants completed questionnaires on their health and well-being, social relationships and social support, and relationship satisfaction. We examined changes in the strength of social support-health linkages across bursts. Results show that social-support health linkages were weakest and least consistent during the early stages of the relocation stressor (Burst 2 and 3) but that by Burst 4, support-health linkages were mostly restored similar to pre-move levels (Burst 1). These findings suggest that stress buffering effects need to be understood within the context of how stressful experiences unfold over time for older adults.

AGE AND STRESSOR-RELATED NEGATIVE AFFECT IN OLDER ADULTS: CROSS-SECTIONAL AND LONGITUDINAL EVIDENCE

Abstract Most daily stress studies show stressor-related increases in Negative affect (NA), but older adults may show smaller increases due to emotion-regulation skills. However, most of this work is based upon single burst diary or ecological momentary assessment (EMA) studies which are functionally cross-sectional age comparisons; longitudinal analyses are needed to reveal whether individuals change as they age. In this secondary analysis of data from a measurement burst study of older adults in Bronx, NY (N=305; Mage=76.98), we examined how age interacted cross-sectionally and longitudinally with the effect of stressors on NA. Between 2017- (pre-pandemic) 2020, participants completed up to three 14-day EMA bursts. Five times daily, they reported current NA and whether a stressor had occurred since the last assessment. In a 4-level multilevel model accounting for demographics, Neuroticism, and stressors, NA was significantly higher with reports of stressors, including at the moment-level, day-level, and person-level. Regarding aging’s role in average NA for non-stressor moments, there were not significant cross-sectional age differences, but longitudinally across three bursts, NA increased significantly within-persons. We did not find evidence for cross-sectional age differences nor longitudinal change in the stressor-NA slope. Although neither cross-sectional age differences nor longitudinal change was found in the stressor-NA slope, we found significant longitudinal increases in non-stressor NA as individuals aged. Our results illustrate the value of measurement burst designs for disentangling differences between cross-sectional and longitudinal effects in daily processes. Further research on aging-related differences in affect and stress would benefit from these approaches.

Associations of objective and subjective neighborhood measures with cognitive change in a repeated measurement burst design

AbstractBackgroundPrior studies have reported associations between neighborhood characteristics and late‐life cognition. These studies assessed neighborhood using either objective (e.g., area‐level data from public database) or subjective (individual‐level perception) measures. However, little research has been done to examine effects of objective and subjective measures simultaneously. The present study aims to investigate the independent associations of objective and subjective neighborhood characteristics with cognitive change in older adults.MethodParticipants include 316 individuals in the Einstein Aging Study (mean age = 77; 67% females; 45% non‐Hispanic Whites, 40% non‐Hispanic Blacks). Subjective neighborhood measures included perceived neighborhood safety, aesthetic quality, social cohesion, and availability of healthy foods (range = 1 poor to 5 excellent). Objective neighborhood measures included violent crime, neighborhood deprivation, volunteering rates, percentage of healthy food retailers, and low access to healthy food. Processing speed was assessed using the brief, smartphone‐administered Symbol Search Test, and was completed 6x/day over two weeks; this was repeated annually from 2017 to 2022. To account for non‐linear retest/practice effects, double negative exponential models were used to estimate the relation of neighborhood measures to asymptotic performance (i.e., fastest response time) at baseline and to change in asymptotic performance over time.ResultMost subjective and objective neighborhood measures were significantly correlated with each other (Table 1). In models containing both objective and subjective neighborhood measures, better perceived safety was associated with greater annual improvement in asymptotic performance (40 milliseconds/year for one point increase in safety) while the objective measure of violent crime was not. Perceived availability of healthy foods was independently associated with a faster baseline asymptotic processing speed (estimate = 160 milliseconds) and with greater annual improvement rate (estimate = 54 milliseconds/year) while the objective measures of food environment were not (Table 2).ConclusionSubjective rather than objective neighborhood characteristics were strongly associated with annual rates of change in processing speed over five years in community‐dwelling older adults. Perception of one’s neighborhood may be a more proximal predictor of cognitive health as it may reflect an individual’s lived experiences and determine one’s psychological states and health‐related behaviors. Alternatively, more fine‐grained objective neighborhood measures (e.g., individual‐level) would be necessary to better characterize objective neighborhood environments.

23 Tamoxifen Effects on Cognition and Language in Women with Breast Cancer

Objective:Cognitive changes following adjuvant treatment for breast cancer (BC) are well documented particularly following chemotherapy. However, limited studies have examined cognitive and/or language functions in chemotherapy-naive women with BC taking tamoxifen (TAM). While there is some compelling evidence TAM affects cognitive and language domains, language has not been studied beyond semantics (i.e., content of language), which is just one aspect of language. Using ambulatory cognitive assessment, we investigated the trajectory of cognitive and language changes during early period of adjuvant endocrine treatment (tamoxifen) in women with BC at two time periods (pre-treatment and two months after treatment begins).Participants and Methods:Four women with BC (mean age = 62.25 years, SD = 8.38) and 18 cognitively healthy age-matched controls (mean age = 59.77, SD = 7.45) completed 3 cognitive tasks using smartphones, during a short time period (5 days) and repeated at two time periods. Symbol search, dot memory and color dots tasks were used to measure the cognitive constructs - processing speed and working memory. Response times were recorded in milliseconds. To determine language ability, language samples were collected at two time periods, where the participants described two stories from two wordless picture books and samples were assessed using core lexicon analyses.Results:Wilcoxon-signed rank test was computed to identify cognitive and linguistic changes during early period of TAM administration in women with BC at two time periods. No significant within group or between group differences were seen on the cognitive and language tasks at the two time periods, however, a trend for decline in performance was seen in some BC participants across different tasks.Conclusions:This is the first study to our knowledge to use ambulatory cognitive assessment method and study discourse-level language function during this early period (pre-treatment and 2 months post-TAM). Findings from the current study advance our understanding of trajectories of cognition and language changes during the initial course of adjuvant endocrine treatment for women with BC with ER+ tumors. Using a measurement-burst design and ambulatory cognitive assessment, we were able to apply better precision measurement to identify distinct cognitive constructs affected by adjuvant endocrine treatment. In addition, insight into changes in discourse ability are impactful for numerous reasons: (1) better understanding of how adjuvant endocrine therapy impacts communication and (2) discernment into language domains that may require early behavioral intervention.

Reactivity toward daily events: Intraindividual variability and change in recurrent depression – A measurement burst study

In Major Depressive Disorder, first evidence shows heightened mood-reactivity toward daily events. Related longitudinal studies in remitted patients with recurrent major depression are lacking. Long-term changes in such short-term within-person associations can be analysed via measurement burst designs. Two bursts, separated by approximately 4.4 years, consisted of a baseline session and an Ambulatory Assessment (burst-1: 3 days, burst-2: 5 days). Via smartphone, 54 initially remitted patients with recurrent major depression indicated their negative and positive affect, rumination, self-acceptance, and the occurrence of negative and positive daily events ten times and collected saliva cortisol samples five times per day. In bursts with higher depression levels, patients showed blunted negative affect- and cortisol-reactivity and stronger decreases in positive affect and self-acceptance toward negative daily events, as well as stronger increases in self-acceptance following positive daily events. However, patients with higher depression levels demonstrated stronger ruminative stress-reactivity within bursts. Furthermore, patients with higher depression levels showed an increase of affective stress-reactivity over bursts, such that negative affect more strongly increased and positive affect more strongly decreased following negative daily events over bursts. Following positive daily events, patients with higher depression levels showed stronger decreases in negative affect within bursts and a decrease of self-acceptance-reactivity over bursts. To conclude, measurement burst designs enable to examine intraindividual variability and change of micro-level processes, and possible moderators thereof, potentially providing prognostic information for the course of recurrent major depression.

Does Perceived Posttraumatic Growth Predict Observed Changes in Current-Standing and State Posttraumatic Growth?

Research on posttraumatic growth has been marred by the ubiquity of retrospective perceived growth assessments that lack construct validity. However, one justification for assessing perceived growth is that such perceptions may be a catalyst for subsequent change. We examined this question using a measurement-burst design in a representative midlife sample who had experienced a major negative life event in the past year (Wave 1: N = 804). Participants completed three waves of retrospective measures of perceived growth (Posttraumatic Growth Inventory), current-standing measures of posttraumatic growth domains, and experience-sampling assessments of state manifestations of growth-relevant domains twice a day for 3 weeks ( Nassessments = 32,099) over 6 months. In random-intercept cross-lagged panel models, perceived growth did not predict subsequent observed change in current standing or aggregated state assessments of growth. Overall, perceived growth does not appear to serve as a catalyst for positive change in the short term.

Executive Functioning, Daily Self-Regulation, and Diabetes Management while Transitioning into Emerging Adulthood.

Executive functioning (EF) predicts better Type 1 diabetes (T1D) management in the high-risk years after high school, but the daily self-regulation processes involved are unclear. To examine whether EF is associated with daily self-regulation that minimizes one's exposure or buffers adverse reactions to daily diabetes problems, and to determine whether these patterns become stronger during the transition out of high school. A measurement burst design with convenience sampling was used. Seniors in high school with T1D (N = 207; 66% female) completed self-report (i.e., Behavioral Rating Inventory of Executive Functioning) and performance measures of EF (i.e., Delis-Kaplan Executive Function System). A 14-day daily diary assessing self-regulation failures, diabetes problems, affect, and indicators of diabetes management was completed at baseline and 1 year later. Correlations and multilevel modeling were conducted. Lower self-reported EF problems were associated with lower average levels of daily self-regulation failures, and these variables were associated with fewer daily diabetes problems. In contrast, better EF performance was unrelated to average daily self-regulation failures, and was unexpectedly associated with more frequent diabetes problems in year 2. Equally across years, on days participants reported lower than their average levels of daily self-regulation failures, they had fewer diabetes problems, regardless of EF. On days with lower than average diabetes problems, participants reported better diabetes management indicators. EF generally did not buffer daily associations in either year. Regardless of EF, promoting daily self-regulation may prevent diabetes problems and promote T1D management in daily life at this high-risk transitional time.

Integrating multiple time-scales to advance relationship science

It is widely acknowledged that social relationships unfold across multiple time-scales. For example, social interactions that take place over moments, hours, or days also shape relationship change and outcomes over months, years, and even decades. These processes likely unfold in the reverse direction as well: experiences over longer-term timeframes may shape how people interact on a moment-to-moment basis. The increasing availability of intensive longitudinal data and measurement burst designs, as well as creativity in the contexts and modes of data collection--including social media, text messages, and event-contingent sampling--have exploded the possibilities for advancing knowledge on social relationships across multiple time-scales. The aim of this issue is to forward methodological innovations, empirical findings, and future directions in relationship science through the study of social and personal relationships across multiple time-scales.

Ultra-brief Assessment of Working Memory Capacity: Ambulatory Assessment Study Using Smartphones.

The development of mobile technology with substantial computing power (ie, smartphones) has enabled the adaptation of performance-based cognitive assessments to remote administration and novel intensive longitudinal study designs (eg, measurement burst designs). Although an "ambulatory" cognitive assessment paradigm may provide new research opportunities, the adaptation of conventional measures to a mobile format conducive to intensive repeated measurement involves balancing measurement precision, administration time, and procedural consistency. Across 3 studies, we adapted "complex span" tests of working memory capacity (WMC) for ultra-brief, smartphone-based administration and examined their reliability, sufficiency, and associations with full-length, laboratory-based computerized administrations. In a laboratory-based setting, study 1 examined associations between ultra-brief smartphone adaptations of the operation span, symmetry span, and rotation span tasks and full-length computerized versions. In study 2, we conducted a 4-day ecological momentary assessment (EMA) study (4 assessments per day), where we examined the reliability of ultra-brief, ambulatory administrations of each task. In study 3, we conducted a 7-day EMA study (5 assessments per day) involving the ultra-brief rotation span task, where we examined reliability in the absence of extensive onboarding and training. Measurement models in study 1 suggest that comparable estimates of latent WMC can be recovered from ultra-brief complex span task performance on smartphones. Significant correlations between the ultra-brief tasks and respective full-length versions were observed in study 1 and 2, ranging from r=0.4 to r=0.57. Results of study 2 and study 3 suggest that reliable between-person estimates of operation span, symmetry span, rotation span, and latent WMC can be obtained in 2-3 ultra-brief administrations (equivalent to <1 day of testing in an EMA study design). The results of study 3 replicated our findings, showing that reliable between-person estimates of rotation span may be obtained in as few as 2 ultra-brief administrations in the absence of extensive onboarding and training. In addition, the modification of task parameterization for study 3 improved the estimates of reliability of within-person change. Ultra-brief administration of complex span tasks on smartphones in a measurement burst design can generate highly reliable cross-sectional estimates of WMC. Considerations for future mobile cognitive assessment designs and parameterizations are discussed.

DISSOCIATING RETEST EFFECTS FROM DEVELOPMENTAL CHANGE FOR PREDICTING COGNITIVE STATUS

Abstract In longitudinal designs, unadjusted retest effects can confound developmental change estimates. This study utilized a measurement burst design and three-level multilevel modeling to a) independently parameterize short-term retest and long-term developmental change and b) employ these estimates as predictors of cognitive status at long-term follow-ups. Using data from Project MIND , participants (N=304; aged 64-92 years) were assessed across biweekly sessions nested within annual bursts (spanning up to 17 total assessments over four years). Cognitive impairment no dementia (CIND) status was classified at Years 4 (the final burst assessment) and 8 (the study end date). Response time inconsistencies (RTI) were computed to index intraindividual variability across RT trials of a one-back response time (BRT) task. Three-level multilevel models simultaneously yet independently estimated BRT RTI change across weeks and years, indexing short-term retest and long-term developmental change, respectively. Individual slope estimates were extracted and utilized in multinomial logistic regression models contrasting short- vs. long-term RTI change as predictors of long-term cognitive status. Results from the three-level models indicated that retest and developmental slopes yielded non-redundant sources of variance, providing unique estimates of change that would otherwise be confounded. Further, short- and long-term RTI differentially predicted cognitive status at Years 4 and 8; failing to benefit from retest effects on the BRT task was associated with increased likelihood of cognitive impairment. This innovative approach to parameterizing retest effects can reduce systematic bias in estimates of long-term developmental change, as well as highlight the utility of retest effects as predictors of cognitive health.

Explaining variation in adolescents’ social media-related distraction: The role of social connectivity and disconnectivity factors

Social media are often believed to distract adolescents’ attention. While existing research has shown that some adolescents experience more social media-related distraction than others, the explanations for these differences remain largely unknown. Based on Self-Determination Theory, this preregistered study investigated two social connectivity factors (fear of missing out [FoMO] and friendship accessibility expectations) and two disconnectivity factors (self-control strategies and parental restrictions) that may explain heterogeneity in social media-related distraction. We used data collected through a measurement burst design, consisting of a three-week experience sampling method study among 300 adolescents (21,970 assessments) and online surveys. Using N = 1 analyses, we found that most adolescents (77%) experienced social media-related distraction. Contrary to expectations, none of the connectivity or disconnectivity factors explained differences in social media-related distraction. The findings indicate that social media are a powerful distractor many adolescents seem to struggle with.