Intra-individual Standard Deviations Research Articles

Increased intraindividual variability in reaction time performance is associated with emerging cognitive decline in cognitively unimpaired adults.

To investigate whether intraindividual variability (IIV) in reaction time (RT) over monthly administered cognitive tasks is increased in cognitively unimpaired older adults who are at risk for cognitive decline, and whether this is independent of mean RT performance. N = 109 cognitively unimpaired individuals (age 77.4 ± 5.0, 61.5% female, Mini-Mental State Examination 29.1 ± 1.3) from the Harvard Aging Brain Study completed the self-administered Computerized Cognitive Composite (C3) monthly at home for up to 1 year (12.7 ± 3.2 C3 assessments). Baseline C3 assessment coincided with routine in-clinic visits, including amyloid and tau positron emission tomography imaging and standardized cognitive testing, with cognitive testing repeated annually (1.6 ± 1.2 years follow-up). The C3 includes two simple RT tasks and two complex RT tasks. IIV estimates were derived by computing intraindividual standard deviations on residual RT scores after regressing out age and session order effects. Cross-sectional associations of IIV with cognition (global cognition, memory, executive functions [EF], processing speed) and amyloid and tau burden were examined using linear regression analyses correcting for demographics and mean RT. The association between IIV and cognitive decline was assessed using linear mixed models correcting for demographic factors, mean RT, and amyloid burden. After adjusting for mean RT, increased IIV on complex RT tasks was independently associated with worse EF performance (β = -0.10, 95% CI [-.16, -0.03], p = .004), greater inferior-temporal tau deposition (β = 0.18, 95% CI [0.02, 0.34], p = .024), and faster cognitive decline in those with elevated amyloid (β = -0.62, 95% CI [-1.18, -0.06], p = .033). Increased variability in monthly RT may reflect subtle EF deficits and provide unique information about short-term cognitive decline in preclinical Alzheimer's disease. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

5 Intraindividual Variability in Processing Speed on Digital Cognitive Assessments Differs by Amyloidosis Status in Cognitively Normal Older Adults

Objective:Intraindividual variability (IIV) is defined as fluctuations in an individual’s cognitive performance over time1. IIV has been identified as a marker of neurobiological disturbance making it a useful method for detecting changes in cognition among cognitively healthy individuals as well as those with prodromal syndromes2. IIV on laboratory-based computerized tasks has been linked with cognitive decline and conversion to mild cognitive impairment (MCI) and/or dementia (Haynes et al., 2017). Associations between IIV and AD risk factors including apolipoprotein (APOE) ε4 carrier status, neurodegeneration seen on brain imaging, and amyloid (Aß) Positron emission tomography (PET) scan status have also been observed1. Recent studies have demonstrated that evaluating IIV on smartphone-based digital cognitive assessments is feasible, has the capacity to differentiate between cognitively normal (CN) and MCI individuals, and may reduce barriers to cognitive assessment3. This study sought to evaluate whether such differences could be detected in CN participants with and without elevated AD risk.Participants and Methods:Participants (n=57) were cognitively normal older adults who previously received an Aß PET scan through the Butler Hospital Memory and Aging Program. The sample consisted of primarily non-Hispanic (n=49, 86.0%), White (n=52, 91.2%), college-educated (M=16.65 years), females (n=39, 68.4%). The average age of the sample was 68 years old. Approximately 42% of the sample (n=24) received a positive PET scan result. Participants completed brief cognitive assessments (i.e., 3-4 minutes) three times per day for eight days (i.e., 24 sessions) using the Mobile Monitoring of Cognitive Change (M2C2) application, a mobile app-based cognitive testing platform developed as part of the National Institute of Aging’s Mobile Toolbox initiative (Sliwinski et al., 2018). Participants completed visual working memory, processing speed, and episodic memory tasks on the M2C2 platform. Intraindividual standard deviations (ISDs) across trials were computed for each person at each time point (Hultsch et al., 2000). Higher ISD values indicate more variability in performance. Linear mixed effects models were utilized to examine whether differences in IIV existed based on PET scan status while controlling for age, sex at birth, and years of education.Results:n interaction between PET status and time was observed on the processing speed task such that Aß- individuals were less variable over the eight assessment days compared to Aß + individuals (B= -5.79, SE=2.67, p=.04). No main or interaction effects were observed on the visual working memory task or episodic memory task.Conclusions:Our finding that Aß- individuals demonstrate less variability over time on a measure of processing speed is consistent with prior work. No associations were found between IIV in other cognitive domains and PET status. As noted by Allaire and Marsiske (2005), IIV is not a consistent phenomenon across different cognitive domains. Therefore, identifying which tests are the most sensitive to early change is crucial. Additional studies in larger, more diverse samples are needed prior to widespread clinical use for early detection of AD.

Exercise counters the negative impact of bed rest on executive functions in middle-aged and older adults: A proof-of-concept randomized controlled trial

ObjectivesProlonged bed rest is prevalent among middle-aged and older adults and is associated with multiple negative health outcomes. Therefore, it is important that we better understand the utility of exercise training as a countermeasure to the adverse effects of bed rest. We examined the effect of exercise training on intraindividual variability in cognitive performance among adults aged 55–65 exposed to 14 days of physical inactivity modelled via 6° head-down tilt bed rest. MethodsThe study is a non-blinded, parallel-group, proof-of-concept randomized controlled trial. Twenty-three healthy middle-aged and older adults (12 males, 11 females) aged 55–65 were randomized to: (1) 14 days of 6° head-down tilt bed rest (Control) or (2) 14 days of 6° head-down tilt bed rest with daily exercise (Exercise). The National Institutes of Health Toolbox Cognitive Battery assessed executive functions (Flanker incongruent/congruent and Dimensional Change Card Sort) and processing speed (Pattern Comparison). We assessed cognitive function at baseline, 6° head-down tilt bed rest midpoint, completion, and seven days following completion. We indexed intraindividual variability with two metrics: (1) residual intraindividual standard deviation and (2) intraindividual coefficient of variation. Flanker congruent and incongruent residual intraindividual standard deviations were the primary outcomes. Linear mixed models assessed between-group differences and the moderating effect of biological sex. ResultsAt bed rest completion, Exercise had significantly lower (better) Flanker incongruent residual intraindividual standard deviation (estimated mean difference = −3.63, 95%CI -6.10;-1.17, p = 0.005) and intraindividual coefficient of variation (estimated mean difference = −0.10, 95%CI -0.19;-0.003, p = 0.022) vs. Control. Sex moderated the effect of exercise on Flanker incongruent intraindividual coefficient of variation. Exercise females had significantly lower intraindividual coefficient of variation vs. Control (estimated mean difference = −0.23; 95%CI -0.34;-0.12, p < 0.001). There were no significant between-group differences in processing speed intraindividual variability and summary scores of executive functions and processing speed (ps > 0.05). ConclusionExercise training during bed rest preserved intraindividual variability of executive functions but not processing speed. Trial registrationClinicalTrials.gov NCT04964999

Intraindividual variability measured with dispersion across diagnostic groups in a memory clinic sample

Increased intraindividual variability (IIV) has been linked to outcomes such as cognitive decline and dementia, suggesting IIV might add valuable diagnostic information beyond traditional neuropsychological interpretation. We explored whether a subtype of IIV, dispersion, can provide additional information for dementia diagnosis. In a sample of memory clinic patients, three cognitive status groups were identified: subjective cognitive impairment (SCI; n = 85), amnestic mild cognitive impairment (a-MCI; n = 16), and dementia due to Alzheimer’s disease (AD; n = 48). Dispersion was computed as intraindividual standard deviations across multiple neuropsychological measures within three cognitive domains (executive functioning; immediate and delayed memory) and was compared for each diagnostic group using profile analysis. Patients with AD and a-MCI demonstrated less dispersion than patients with SCI in delayed memory. Results support existing theoretic perspectives on cognitive variability and age-related cognitive decline but suggest floor effects underlie suppression of dispersion in amnestic cognitive presentations. Questions remain about the contribution of IIV beyond impressions of impairment versus no impairment in these constrained representations of cognitive domains. Future investigations should investigate variability in SCI groups against controls to examine whether observed dispersion similarities between SCI and a-MCI or AD in immediate memory and executive functioning are meaningful.

Effects of elastic ankle support on running ankle kinematics in individuals with chronic ankle instability and healthy controls.

Individuals with chronic ankle instability (CAI) have an increased risk for recurrent injuries. The preventive effects of external ankle supports are not fully understood. This study aimed to examine the effect of elastic ankle support on running ankle kinematics. 3D running gait analysis of individuals with and without CAI was conducted at three-minute-running trials at 2.78 m/s with and without elastic ankle support in a randomised order. Ankle kinematics and intra-individual standard deviations (variability) were calculated at each percent of the running gait cycle. Group and ankle support effects were calculated using statistical parameter mapping. Twenty-seven individuals were analysed (CAI: n = 14, controls: n = 13). When wearing ankle support, CAI individuals showed significantly decreased plantarflexion angles at 43-47 % (p = 0.033) and 49-51 % (p = 0.043) of the running gait cycle compared to normal running. In healthy controls, no differences in ankle angles between both conditions were found. Comparisons between CAI individuals and healthy controls showed statistically significant differences in the plantar-/dorsiflexion angles at 38-41 % (p = 0.044) with ankle support and at 34-46 % (p = 0.004) without ankle support. Significant ankle angle variability differences were found for ankle in-/eversion between CAI individuals and healthy controls (p = 0.041) at 32-33 % of the running gait cycle. Elastic ankle support reduces the range of sagittal plane running ankle kinematics of CAI individuals but not of healthy controls. Further research is needed to evaluate the association between ankle support effects and the risk for recurrent ankle sprains.

Stability of shared appraisal: The role of attachment and implications for relationships and health

In the context of coping with chronic illness, shared appraisal refers to one person’s perception that the illness is a shared issue. Despite increasing research linking shared appraisal to positive relationship and health outcomes, whether it is static or fluctuates across time has not yet been investigated. Fluctuations in shared appraisal may affect patient and spouse well-being and influence disease management. We investigated the association of daily shared appraisal fluctuations (operationalized as intraindividual standard deviations) to relationship satisfaction, psychological well-being, and diabetes-specific well-being over 2 weeks among 199 couples in which one person had type 1 diabetes. In addition, we examined attachment insecurity as a correlate of shared appraisal fluctuations. Individuals higher in anxiety or avoidance may more frequently reevaluate their relationship. Thus, their shared appraisal may be more reactive to daily events. Actor–partner interdependence models showed greater fluctuations in spouse appraisal were associated with lower patient relationship satisfaction (partner effect) but not with spouse relationship satisfaction and with greater spouse psychological distress (actor effect) but not patient psychological distress. There were no actor or partner effects of patient appraisal fluctuations on these outcomes. In terms of diabetes outcomes, regression analyses showed that greater fluctuations in patient and spouse appraisal were each associated with higher patient diabetes distress, and greater fluctuations in spouse appraisal were associated with lower patient self-care. Higher attachment anxiety was related to greater appraisal fluctuations in the spouse but not the patient. These findings highlight the importance of spouse appraisal stability for spouse relationships and well-being and for patient diabetes outcomes and suggest that attachment insecurity may be implicated in the instability of shared appraisal.

Predictors of shoulder pain in manual wheelchair users

BackgroundManual wheelchair users rely on their upper limbs to provide independent mobility, which leads to high muscular demand on their upper extremities and often results in shoulder pain and injury. However, the specific causes of shoulder pain are unknown. Previous work has shown that decreased shoulder muscle strength is predictive of shoulder pain onset, and others have analyzed joint kinematics and kinetics, propulsion technique and intra-individual variability for their relation to shoulder pathology. The purpose of this study was to determine in a longitudinal setting whether there are specific biomechanical measures that predict shoulder pain development in manual wheelchair users. MethodsAll participants were asymptomatic for shoulder pain and categorized into pain and no pain groups based on assessments at 18 and 36 months later. Shoulder strength, handrim and joint kinetics, kinematics, spatiotemporal measures, intra-individual standard deviations and coefficients of variation were evaluated as predictors of shoulder pain. FindingsIndividuals who developed shoulder pain had weaker shoulder adductor muscles, higher positive shoulder joint work during recovery, and less trunk flexion than those who did not develop pain. In addition, relative intra-individual variability was a better predictor of shoulder pain than absolute variability, however future work is needed to determine when increased versus decreased variability is more favorable for preventing shoulder pain. InterpretationThese predictors may provide insight into how to improve rehabilitation training and outcomes for manual wheelchair users and ultimately decrease their likelihood of developing shoulder pain and injuries.

Visit-to-visit systolic blood pressure variability in patients with ST-elevation myocardial infarction predicts long-term cardiovascular outcomes

Elevated visit-to-visit blood pressure variability (BPV), independent of mean BP, has been associated with cardiovascular events. However, its impact after ST-elevation myocardial infarction (STEMI) has not been established. This study aimed to investigate the prognostic impact of BPV on patients after STEMI. We analyzed the data and clinical outcomes of STEMI survivors who underwent successful primary coronary intervention from 2003 to 2009. BP was measured at discharge and at 1, 3, 6, 12, 24, and 36 months, and we calculated BPV as the intra-individual standard deviations (SDs) of systolic BP (SBP) across these measurements. We classified the patients as high and low-BPV group, and evaluated the outcomes: occurrence of major adverse cardiovascular events (MACEs), death, recurrent myocardial infarction, and target vessel revascularization within 60 months. We enrolled 343 patients, and mean follow-up duration was 68 ± 34 months (median: 76 months). Mean and median SBP SDs were 13.2 and 12.3 mmHg, and patients were divided into one of the two groups based on the median (high-BPV group = SD ≥ 12.3 mmHg; low-BPV group = SD < 12.3 mmHg). The MACE-free survival in the high-BPV group was significantly worse than that in low-BPV group (log-rank p = 0.035). For the high-BPV group, the risk of a MACE significantly increased by 57% (95% confidence interval: 1.03–2.39; p = 0.038). Visit-to-visit systolic BPV was associated with increased rates of adverse clinical outcomes in patients after STEMI. Careful assessment of BP and attempts to reduce BPV might be also important in STEMI survivors.

Both Reaction Time and Accuracy Measures of Intraindividual Variability Predict Cognitive Performance in Alzheimer's Disease.

Dementia researchers around the world prioritize the urgent need for sensitive measurement tools that can detect cognitive and functional change at the earliest stages of Alzheimer's disease (AD). Sensitive indicators of underlying neural pathology assist in the early detection of cognitive change and are thus important for the evaluation of early-intervention clinical trials. One method that may be particularly well-suited to help achieve this goal involves the quantification of intraindividual variability (IIV) in cognitive performance. The current study aimed to directly compare two methods of estimating IIV (fluctuations in accuracy-based scores vs. those in latency-based scores) to predict cognitive performance in AD. Specifically, we directly compared the relative sensitivity of reaction time (RT)—and accuracy-based estimates of IIV to cognitive compromise. The novelty of the present study, however, centered on the patients we tested [a group of patients with Alzheimer's disease (AD)] and the outcome measures we used (a measure of general cognitive function and a measure of episodic memory function). Hence, we compared intraindividual standard deviations (iSDs) from two RT tasks and three accuracy-based memory tasks in patients with possible or probable Alzheimer's dementia (n = 23) and matched healthy controls (n = 25). The main analyses modeled the relative contributions of RT vs. accuracy-based measures of IIV toward the prediction of performance on measures of (a) overall cognitive functioning, and (b) episodic memory functioning. Results indicated that RT-based IIV measures are superior predictors of neurocognitive impairment (as indexed by overall cognitive and memory performance) than accuracy-based IIV measures, even after adjusting for the timescale of measurement. However, one accuracy-based IIV measure (derived from a recognition memory test) also differentiated patients with AD from controls, and significantly predicted episodic memory performance. The findings suggest that both RT- and accuracy-based IIV measures may be useful indicators of underlying neuropathology. The present study therefore contributes toward an understanding of the relative utility of RT- and accuracy-based IIV measures in detecting neurocognitive impairment in older adults, and also advances the empirical evaluation of sensitive markers of cognitive change in patients with AD.

Development of an adaptive scaling method for subjective listening effort.

An adaptive procedure for controlling the signal-to-noise ratio (SNR) when rating the subjectively perceived listening effort (Adaptive Categorical Listening Effort Scaling) is described. For this, the listening effort is rated on a categorical scale with 14 steps after the presentation of three sentences in a background masker. In a first phase of the procedure, the individual SNR range for ratings from "no effort" to "extreme effort" is estimated. In the following phases, stimuli with randomly selected SNRs within this range are presented. One or two linear regression lines are fitted to the data describing subjective listening effort as a function of SNR. The results of the adaptive procedure are independent of the initial SNR. Although a static procedure using fixed, predefined SNRs produced similar results, the adaptive procedure avoided lengthy pretests for suitable SNRs and limited possible bias in the rating procedures. The adaptive procedure resolves individual differences, as well as differences between maskers. Inter-individual standard deviations are about three times as large as intra-individual standard deviations and the intra-class correlation coefficient for test-retest reliability is, on average, 0.9.

\u2018Two-level\u2019 measurements of processing speed as cognitive markers in the differential diagnosis of DSM-5 mild neurocognitive disorders (NCD)

Processing speed is an updated diagnostic factor for neurocognitive disorders (NCD) in DSM-5. This study investigated the characteristics of processing speed and their diagnostic values in NCD patients. A flanker test was conducted in 31 adults with NCD due to vascular disease (NCD-vascular), 36 patients with NCD due to Alzheimer’s disease (NCD-AD), and 137 healthy controls. The processing speed was evaluated using two measurements: mean reaction time (RT) and intra-individual variability of RT. Mean RT represents the global processing speed. Intra-individual variability of RT is the short-term fluctuation of RT and consists of two indices, which are intra-individual coefficient of variation of reaction time (ICV-RT) and intra-individual standard deviations (iSD). We observed elevated ICV-RT and iSD in NCD-AD and NCD-vascular patients. Additionally, there was a slowed RT in NCD-AD patients. The intra-individual variability of RT had a moderate power to differentiate NCD subgroups. The mean RT was able to discriminate the NCD-AD from NCD-vascular patients. Our findings highlight the clinical utility of the combined ‘two-level’ measurements of processing speed to distinguish between individuals with different cognitive status. Furthermore, the ‘two-level’ features of processing speed embedded in the psychometric property may also reflect the diverse aetiology underlying certain ‘disease-specific’ neurocognitive disorders.

Effects of ankle instability on running gait ankle angles and its variability in young adults

BackgroundConsidering that proprioceptive deficits seem to be responsible for chronic ankle instability, the precise control of ankle angles during running may be impaired. Thus, the aim of the study was to evaluate the influence of chronic ankle instability on intra-individual variability of ankle kinematics during running. MethodsLower extremity running gait kinematics of 12 recreational athletes with chronic ankle instability (mean age: 24years, SD: 3years; strides analyzed: 40.0, SD=1.7) and 12 matched healthy controls (mean age: 27years, SD: 6years; strides analyzed: 40.2, SD=2.5) were registered on a treadmill. Mean ankle angles (inversion/eversion, plantarflexion/dorsiflexion) and intra-individual standard deviations (variability) were calculated at each percent of the running gait cycle. Group differences were examined using statistical parameter mapping. To estimate effect sizes, Hedges' g was calculated. FindingsNo group differences in the inversion/eversion or plantar-/dorsiflexion ankle angle were found. The inversion/eversion variability was significantly higher (P<.050) in individuals with chronic ankle instability during the stance and swing phase. The highest Hedges' g values were registered at 15% (g=0.575, P<.000) and 95% (g=0.551, P=.002) of the running gait cycle. The plantar-/dorsiflexion ankle angle variability showed no significant differences. InterpretationPatients with chronic ankle instability exhibit a higher variability of ankle kinematics during running. This indicates altered sensorimotor control which is probably an underlying mechanism of chronic ankle instability. Thus, variability measures may help to better quantify treatment effects in future.

Variance in saccadic eye movements reflects stable traits

Saccadic tasks are widely used to study cognitive processes, effects of pharmacological treatments, and mechanisms underlying psychiatric disorders. In genetic studies, it is assumed that saccadic endophenotypes are traits. While internal consistency and temporal stability of saccadic performance is high for most of the measures, the magnitude of underlying trait components has not been estimated, and influences of situational aspects and person by situation interactions have not been investigated. To do so, 68 healthy participants performed prosaccades, antisaccades, and memory-guided saccades on three occasions at weekly intervals at the same time of day. Latent state-trait modeling was applied to estimate the proportions of variance reflecting stable trait components, situational influences, and Person × Situation interaction effects. Mean variables for all saccadic tasks showed high to excellent reliabilities. Intraindividual standard deviations were found to be slightly less reliable. Importantly, an average of 60% of variance of a single measurement was explained by trans-situationally stable person effects, while situation aspects and interactions between person and situation were found to play a negligible role. We conclude that saccadic variables, in standard laboratory settings, represent highly reliable measures that are largely unaffected by situational influences. Extending previous reliability studies, these findings clearly demonstrate the trait-like nature of these measures and support their role as endophenotypes.

Cortical brain atrophy and intra-individual variability in neuropsychological test performance in HIV disease.

To characterize the relationship between dispersion-based intra-individual variability (IIVd) in neuropsychological test performance and brain volume among HIV seropositive and seronegative men and to determine the effects of cardiovascular risk and HIV infection on this relationship. Magnetic Resonance Imaging (MRI) was used to acquire high-resolution neuroanatomic data from 147 men age 50 and over, including 80 HIV seropositive (HIV+) and 67 seronegative controls (HIV-) in this cross-sectional cohort study. Voxel Based Morphometry was used to derive volumetric measurements at the level of the individual voxel. These brain structure maps were analyzed using Statistical Parametric Mapping (SPM2). IIVd was measured by computing intra-individual standard deviations (ISD's) from the standardized performance scores of five neuropsychological tests: Wechsler Memory Scale-III Visual Reproduction I and II, Logical Memory I and II, Wechsler Adult Intelligence Scale-III Letter Number Sequencing. Total gray matter (GM) volume was inversely associated with IIVd. Among all subjects, IIVd -related GM atrophy was observed primarily in: 1) the inferior frontal gyrus bilaterally, the left inferior temporal gyrus extending to the supramarginal gyrus, spanning the lateral sulcus; 2) the right superior parietal lobule and intraparietal sulcus; and, 3) dorsal/ventral regions of the posterior section of the transverse temporal gyrus. HIV status, biological, and cardiovascular disease (CVD) variables were not linked to IIVd -related GM atrophy. IIVd in neuropsychological test performance may be a sensitive marker of cortical integrity in older adults, regardless of HIV infection status or CVD risk factors, and degree of intra-individual variability links with volume loss in specific cortical regions; independent of mean-level performance on neuropsychological tests.

Pain Variability and Its Predictors in Older Adults

The purpose of this secondary data analysis is to determine whether depression, cognition, functional status, health, and pain severity are predictors of day-to-day pain variability in older adults in long-term care settings. Seventy-seven adults aged 68 years and older were included in the multiple linear regression analyses. Pain severity mean and variability were measured over 30 days of daily self-reported pain levels. The Geriatric Depression Scale (GDS), Blessed Memory-Information-Concentration test, Physical Self-Maintenance Scale (PSMS), baseline pain severity, mean of daily health, and mean of daily pain severity were used as predictors. Pain variability was measured by examining intra-individual standard deviations of daily pain scores. Results show that global depression and pain severity are predictors of pain variability in that greater baseline depression and pain severity predicted higher pain variability. Daily mean pain and health were also found to be predictors of pain variability. Pain variability is an important characteristic that is not given enough emphasis in current literature. Understanding pain variability may give insight into older adults' experiences with both pain and depression, and may essentially improve quality of care and quality of life.

Top-down processing modulates older adults’ susceptibility to noise

ABSTRACTThe present study examined older and younger adults’ ability to use top-down processes to mitigate the effects of display noise during simple feature, visual search. As display noise levels increased, older adults (age 60–74 years, n = 32) exhibited greater top-down search reaction time (RT) benefits (bottom-up minus top-down search RT), compared to younger adults (age 18–27, n = 32). Older adults’ ability to mitigate the effects of noise was further assessed with RT variability, as measured by intra-individual standard deviations across trials. Older adults again exhibited larger top-down benefits (i.e., less RT variability) compared to younger adults, and more so when display noise was present vs. absent. These results suggest a sparing of top-down processes with age (Madden, Whiting, Spaniol, & Bucur, 2005; Psychology and Aging, 20, 317), and that top-down processes in older adults enhance search efficiency by optimizing signal-to-noise ratios.

Inter-individual and intra-individual variability of the N2 component: On reliability and signal-to-noise ratio

The nogo N2 component, an anterior negative peak supposed to be generated in the anterior cingulate cortex, has been used as an indicator of conflict monitoring and response conflict in basic and clinical research. Here, we investigate the reliability and the signal-to-noise ratio (SNR) of inter-individual differences of the N2 amplitudes as well as of intra-individual standard deviations of N2 amplitudes. Effects of the number of nogo epochs, type of summary measure (peak vs. average amplitude), and filter cut-offs (1–12Hz vs. 1–30Hz) are investigated. A sample of N=32 participants, performed a go/nogo task. Excellent Cronbach’s alpha coefficients (⩾.90) were obtained for the fronto-central average N2 amplitude at 40 nogo epochs and for the peak N2 amplitude at 60 nogo epochs. The SNR was higher for the average nogo N2 amplitude compared to the peak N2 amplitude. Split-half reliability coefficients of the intra-individual standard deviation of the nogo N2 amplitudes were at least moderate. Based on these results we provide suggestions for a reliable N2 measurement. Moreover, although intra-individual variability has often been conceived as noise the present findings support the idea that intra-individual N2 variability incorporates systematic variance.

Influences of mood variability, negative moods, and depression on adolescent cigarette smoking.

Understanding the emotional risk factors for cigarette smoking in adolescence can greatly inform prevention efforts. The current study examined prospective relationships between 3 affective dimensions--negative mood variability, overall negative mood, and depression---affect-related smoking motives, and future smoking patterns among adolescents. The current study expands on prior research by using real-time methods to assess mood and by focusing on a key developmental transition in smoking behavior: the progression from experimentation or low level, infrequent use to higher use. Ninth- and 10th-grade students (N = 461; 55% girls) provided data on cigarette use at a baseline and follow-up 15-month wave, and also provided ecological momentary assessments of negative moods via palmtop computers for 1 week at each wave. Negative mood was examined via the means of negative mood reports at each wave, and mood variability was examined via the intraindividual standard deviations of negative mood reports at each wave. Depressive symptoms and smoking motives were also assessed. Findings supported a complex self-medication model of smoking escalation in adolescence whereby mood-smoking relationships differed by affect dimension and gender. For girls, greater negative mood variability at baseline significantly predicted rapid escalation in smoking over time, whereas depressive symptoms and overall negative mood were unrelated to girls' smoking patterns. In contrast, overall negative mood significantly predicted boys' smoking escalation among those with affect-related motives for smoking. Results thus suggest that inconsistent mood-smoking relations in past work may be driven by the complex interrelationships among affect vulnerabilities, gender, and smoking patterns.

Relationship satisfaction instability and depression.

In this study, we explored whether the degree of temporal instability in relationship satisfaction might add to our understanding of the well-documented association between relationship quality and depression. We hypothesized that greater relationship satisfaction instability would be associated with higher depressive symptoms, controlling for mean satisfaction levels. We conducted 12 weekly assessments of relationship satisfaction and depressive symptoms in a sample of 131 cohabiting and married women, and used intraindividual standard deviations of scores over the 12 weeks as an index of instability. Results indicated that, as hypothesized, relationship satisfaction instability predicted variance in depressive symptoms beyond that predicted by mean satisfaction; women whose weekly relationship satisfaction fluctuated more widely tended to have higher depressive symptoms. In comparison, temporal instability in depressive symptoms did not predict variance in relationship satisfaction beyond that predicted by mean depressive symptoms. Prospective analyses tentatively suggested that satisfaction instability may precede rather than follow elevated depressive symptoms. Results suggest the utility of assessing relationship satisfaction instability in future studies exploring links between marital quality and depression.

Mood variability and cigarette smoking escalation among adolescents.

The current study examined how affect dysregulation, as indexed via within-person negative mood variability, related to longitudinal patterns of smoking among adolescents. Students in the 8th and 10th grades (N = 517, 56% girls) provided data on cigarette use at baseline, 6-, and 12-month waves and provided ecological momentary assessments of negative moods via palmtop computers for 1 week at each wave. Mood variability was examined via the intraindividual standard deviations of negative mood reports at each wave. As predicted, high levels of negative mood variability at baseline significantly differentiated participants who escalated in their smoking behavior over time from participants who never progressed beyond low levels of experimentation during the course of the study. Mixed-effects regression models revealed that participants who escalated in their smoking experienced a reduction in mood variability as smoking increased, whereas participants with consistently high or low levels of cigarette use had more stable mood variability levels. Results suggest that high negative mood variability is a risk factor for future smoking escalation and that mood-stabilizing effects may reinforce and maintain daily cigarette use among youths.