Project description:BackgroundWe develop a crosswalk between the Mini-Mental State Examination (MMSE) and Telephone Interview for Cognitive Status (TICS)-27, TICS-30, and TICS-40 for adults 65 years and older.MethodsWe examined the scores of 1809 participants, with and without cognitive impairment, who completed the MMSE and the TICS assessment in the 2016 Health and Retirement Study and the 2016 Harmonized Cognitive Assessment Protocol study. Crosswalks between MMSE and TICS-27/30/40 were developed via equipercentile equating.ResultsWe present crosswalks for MMSE and TICS-27/30/40 for the 65+ population representative of the US elderly. While monotonic, the pattern of the TICS-30 to MMSE crosswalk differs from the other two crosswalks (MMSE to TICS-27/40).ConclusionOur analysis offers an empirical crosswalk between two commonly used cognitive measures-the MMSE and TICS. Our findings suggest the need for validated and robust measures that allow for the comparison of scores on different cognitive scales.
Project description:To examine the performance of the Telephone Interview for Cognitive Status (TICS) for identifying participants appropriate for trials of physical activity and cognitive training interventions.Volunteers (N=343), ages 70-85 years, who were being recruited for a pilot clinical trial on approaches to prevent cognitive decline, were administered TICS and required to score ? 31 prior to an invitation to attend clinic-based assessments. The frequencies of contraindications for physical activity and cognitive training interventions were tallied for individuals grouped by TICS scores. Relationships between TICS scores and other measures of cognitive function were described by scatterplots and correlation coefficients.Eligibility criteria to identify candidates who were appropriate candidates for the trial interventions excluded 51.7% of the volunteers with TICS<31. TICS scores above this range were not strongly related to cognition or attendance at screening visits, however overall enrollment yields were approximately half for participants with TICS=31 versus TICS=41, and increased in a graded fashion throughout the range of scores.Use of TICS to define eligibility criteria in trials of physical activity and cognitive training interventions may not be worthwhile in that many individuals with low scores would already be eliminated by intervention-specific criteria and the relationship of TICS with clinic-based tests of cognitive function among appropriate candidates for these interventions may be weak. TICS may be most useful in these trials to identify candidates for oversampling in order to obtain a balanced cohort of participants at risk for cognitive decline.
Project description:ObjectiveTo examine the effect of demographic variables on scores on the modified Telephone Interview for Cognitive Status (mTICS) in a healthy cohort and develop demographically corrected normative data.DesignObservational.SettingPrimarily academic medical centers.Participants576 healthy older adults.MeasurementsmTICS.ResultsAge and education significantly correlated with mTICS score, and sex differences were also observed on this score. Ethnicity differences were not observed. Using regression equations, age, education, and sex significantly predicted mTICS total score.ConclusionsBy using these corrections, an individual's cognitive status may be more accurately predicted with this telephone screening instrument, although clinical validation is needed.
Project description:BACKGROUND AND PURPOSE:Face-to-face cognitive testing is not always possible in large studies. Therefore, we assessed the telephone Montreal Cognitive Assessment (T-MoCA: MoCA items not requiring pencil and paper or visual stimulus) and the modified Telephone Interview of Cognitive Status (TICSm) against face-to-face cognitive tests in patients with transient ischemic attack (TIA) or stroke. METHODS:In a population-based study, consecutive community-dwelling patients underwent the MoCA and neuropsychological battery >1 year after TIA or stroke, followed by T-MoCA (22 points) and TICSm (39 points) at least 1 month later. Mild cognitive impairment (MCI) was diagnosed using modified Petersen criteria and the area under the receiver-operating characteristic curve (AUC) determined for T-MoCA and TICSm. RESULTS:Ninety-one nondemented subjects completed neuropsychological testing (mean±SD age, 72.9±11.6 years; 54 males; stroke 49%) and 73 had telephone follow-up. MoCA subtest scores for repetition, abstraction, and verbal fluency were significantly worse (P<0.02) by telephone than during face-to-face testing. Reliability of diagnosis for MCI (AUC) were T-MoCA of 0.75 (95% confidence interval [CI], 0.63-0.87) and TICSm of 0.79 (95% CI, 0.68-0.90) vs face-to-face MoCA of 0.85 (95% CI, 0.76-0.94). Optimal cutoffs were 18 to 19 for T-MoCA and 24 to 25 for TICSm. Reliability of diagnosis for MCI (AUC) was greater when only multi-domain impairment was considered (T-MoCA=0.85; 95% CI, 0.75-0.96 and TICSm=0.83, 95% CI, 0.70-0.96) vs face-to-face MoCA=0.87; 95% CI, 0.76-0.97). CONCLUSIONS:Both T-MoCA and TICSm are feasible and valid telephone tests of cognition after TIA and stroke but perform better in detecting multi-domain vs single-domain impairment. However, T-MoCA is limited in its ability to assess visuoexecutive and complex language tasks compared with face-to-face MoCA.
Project description:BackgroundReliable, valid, and easy-to-administer instruments to identify possible caseness and to provide proxies for clinical diagnoses are needed in epidemiological research on child and adolescent mental health.The aim of this study is to provide further validity data for a parent telephone interview focused on Autism--Tics, Attention-deficit/hyperactivity disorder (AD/HD), and other Comorbidities (A-TAC), for which reliability and preliminary validation data have been previously reported.MethodsParents of 91 children clinically diagnosed at a specialized Child Neuropsychiatric Clinic, 366 control children and 319 children for whom clinical diagnoses had been previously assigned were interviewed by the A-TAC over the phone. Interviewers were blind to clinical information. Different scores from the A-TAC were compared to the diagnostic outcome.ResultsAreas under ROC curves for interview scores as predictors of clinical diagnoses were around 0.95 for most disorders, including autism spectrum disorders (ASDs), attention deficit/hyperactivity disorder (AD/HD), tic disorders, developmental coordination disorders (DCD) and learning disorders, indicating excellent screening properties. Screening cut-off scores with sensitivities above 0.90 (0.95 for ASD and AD/HD) were established for most conditions, as well as cut-off scores to identify proxies to clinical diagnoses with specificities above 0.90 (0.95 for ASD and AD/HD).ConclusionsThe previously reported validity of the A-TAC was supported by this larger replication study using broader scales from the A-TAC-items and a larger number of diagnostic categories. Short versions of algorithms worked as well as larger. Different cut-off levels for screening versus identifying proxies for clinical diagnoses are warranted. Data on the validity for mood problems and oppositional defiant/conduct problems are still lacking. Although the A-TAC is principally intended for epidemiological research and general investigations, the instrument may be useful as a tool to collect information in clinical practice as well.
Project description:Brain magnetic resonance imaging (MRI) allows researchers to observe structural pathology that may predict cognitive decline. Some populations are less accessible through traditional in-person visits, and may be under-represented in the literature.We examined white matter hyperintensity volume (WMHV) and cerebral parenchymal fraction (CPF) as predictors of cognitive decline measured by a modified Telephone Interview for Cognitive Status (TICS-m) in the Northern Manhattan Stroke Study, a racially and ethnically diverse cohort study. Participants were stroke-free, above 50 years old, and had no contraindications to MRI. A total of 1143 participants had MRI and TICS-m data available [mean age 70 (SD=9), 61% women, 66% Hispanic, 17% Black, 15% white].Those in the third and fourth quartiles of WMHV had significantly greater decline in TICS-m over time as compared with those in the first quartile (Q3: -0.17 points/year, Q4: -0.30 points/year). Those in the bottom 2 quartiles of CPF had significantly greater decline in TICS-m than those in the top quartile (Q1: -0.3 points/year, Q2: -0.2 points/year). Apolipoprotein E (APOE) e4 allele carriers had greater cognitive decline per unit of CPF. Those with greater CPF preserve TICS-m performance better despite greater WMHV.Telephone cognitive assessments can detect decline due to white matter lesions and smaller brain volumes.
Project description:BackgroundPsychometric instruments assessing behavioural and functional outcomes (BFIs) in neurological, geriatric and psychiatric populations are relevant towards diagnostics, prognosis and intervention. However, BFIs often happen not to meet methodological-statistical standards, thus lowering their level of recommendation in clinical practice and research. This work thus aimed at (1) providing an up-to-date compendium on psychometrics, diagnostics and usability of available Italian BFIs and (2) delivering evidence-based information on their level of recommendation.MethodsThis review was pre-registered (PROSPERO ID: CRD42021295430) and performed according to PRISMA guidelines. Several psychometric, diagnostic and usability measures were addressed as outcomes. Quality assessment was performed via an ad hoc checklist, the Behavioural and Functional Instrument Quality Assessment.ResultsOut of an initial N = 830 reports, 108 studies were included (N = 102 BFIs). Target constructs included behavioural/psychiatric symptoms, quality of life and physical functioning. BFIs were either self- or caregiver-/clinician-report. Studies in clinical conditions (including neurological, psychiatric and geriatric ones) were the most represented. Validity was investigated for 85 and reliability for 80 BFIs, respectively. Criterion and factorial validity testing were infrequent, whereas content and ecological validity and parallel forms were almost never addressed. Item response theory analyses were seldom carried out. Diagnostics and norms lacked for about one-third of BFIs. Information on administration time, ease of use and ceiling/floor effects were often unreported.DiscussionSeveral available BFIs for the Italian population do not meet adequate statistical-methodological standards, this prompting a greater care from researchers involved in their development.
Project description:The increase in life expectancy led to a significant rise in the prevalence of age-related neurological diseases, such as cognitive impairment, dementia, and Alzheimer's disease. Although genetics certainly play a role, nutrition emerged as a key factor in maintaining optimal cognitive function among older adults. Therefore, the study aimed to investigate whether specific categories and subcategories of dietary fats, based on carbon-chain length, are associated with cognitive status in a cohort of 883 Italian participants over the age of 50.MethodsThe intake of total, single class of dietary fat, such as saturated fatty acids (SFA), monounsaturated fatty acid (MUFA), and polyunsaturated fatty acid (PUFA), and also single fatty acids grouped according to carbon-chain length, were evaluated by food frequency questionnaires (FFQs). Cognitive health was assessed using the short portable mental status questionnaire (SPMSQ).ResultsAfter adjustment for potential confounding factors subjects with a moderate consumption of both short-chain SFA (for Q2 vs. Q1, OR = 0.23, 95% CI: 0.08, 0.66) and middle-chain SFA specifically lauric acid (C12:0) intake (for Q2 vs. Q1, OR = 0.27, 95% CI: 0.09, 0.77) were less likely to suffer from cognitive impairment. Among single MUFAs, erucic acid (C22:1) intake resulted in an inverse association, in a linear way, with cognitive impairment (for Q4 vs. Q1, OR = 0.04, 95% CI: 0.00, 0.39). Conversely, moderate intake of linoleic acid (C18:2) was associated with cognitive impairment (Q3 vs. Q1, OR = 4.59, 95% CI: 1.51, 13.94). Regarding other PUFAs, individuals consuming moderate intake alpha linolenic acid (C18:3) were less likely to have cognitive impairment (for Q3 vs. Q1, OR = 0.19, 95% CI: 0.06, 0.64).ConclusionsTotal SFA intake appeared to be inversely associated with cognitive impairment. Regarding specific subtypes of fatty acids, the results mostly referred to short- and middle-chain SFA. Further studies are needed to validate the results of the present study.
Project description:Due to the increased life expectancy, the prevalence of aging-related health conditions, such as cognitive impairment, dementia and Alzheimer's disease is increasing. Among the modifiable risk factors, dietary factors have proved to be of primary importance in preserving and improving mental health and cognitive status in older adults, possibly through the modulation of adult neurogenesis, neuronal plasticity and brain signaling. Feeding/fasting timing manipulation has emerged as an innovative strategy to counteract and treat cognitive decline. The aim of this study was to investigate the association between the timing of the feeding period and cognitive status in a cross-sectional cohort of adults living in the Mediterranean area. Demographic and dietary characteristics of 883 adults living in Southern Italy (Sicily) were analyzed. Food frequency questionnaires were used to calculate the time window between the first and the last meal of an average day. Participants with an eating time window duration of more than 10 h were then identified, as well as those with eating time restricted to less than 10 h (TRF). After adjusting for potential confounding factors, individuals adherent to TRF were less likely to have cognitive impairment, compared to those with no eating time restrictions [odds ratio (OR) = 0.28; 95% confidence intervals (CI): 0.07-0.90]; a similar association was found for individuals having breakfast (OR = 0.37, 95% CI: 0.16-0.89), but not for those having dinner. The results of this study reveal that time restricted eating may be positively associated with cognitive status, and thus exert plausible effects on brain health.