Profiles and correlates of language and social communication differences among young autistic children.

Delays in early language development are characteristic of young autistic children, and one of the most recognizable first concerns that motivate parents to seek a diagnostic evaluation for their child. Although early language abilities are one of the strongest predictors of long-term outcomes, there is still much to be understood about the role of language impairment in the heterogeneous phenotypic presentation of autism. Using a person-centered, Latent Profile Analysis, we first aimed to identify distinct patterns of language and social communication ability in a clinic-based sample of 498 autistic children, ranging in age from 18 to 60 months (M = 33 mo, SD = 12 mo). Next, a multinomial logistic regression analysis was implemented to examine sociodemographic and child-based developmental differences among the identified language and social communication profiles. Three clinically meaningful profiles were identified from parent-rated and clinician-administered measures: Profile 1 (48% of the sample) "Relatively Low Language and Social Communication Abilities," Profile 2 (34% of the sample) "Relatively Elevated Language and Social Communication Abilities," and Profile 3 (18% of the sample) "Informant Discrepant Language and Relatively Elevated Social Communication Abilities." Overall, young autistic children from the lowest-resource households exhibited the lowest language and social communication abilities, and the lowest non-verbal problem-solving and fine-motor skills, along with more features of attention-deficit/hyperactivity disorder and atypical auditory processing. These findings highlight the need for effective community-based implementation strategies for young autistic children from low-resource households and underrepresented communities to improve access to individualized quality care.

Diagnostic Stability and Phenotypic Differences Among School-Age Children Diagnosed With ASD Before Age 2.

Given the importance of early detection, it is critical to understand the non-linearity in manifestation of ASD before age 24 months, when ASD symptoms are beginning to consolidate, through the age of 36 months when stability of ASD diagnosis is reportedly high into school-age when increased demands may challenge previously successful compensatory processes and permit first ASD detection. We employed a prospective, longitudinal design focused on children with an older sibling with ASD (n = 210) who received diagnostic evaluations at mean ages of 15.4 months (Time 1), 36.6 months (Time 2), and 5.7 years (Time 3) to examine: (1) diagnostic stability, (2) developmental trajectories associated with different patterns of ASD vs. non-ASD classifications, and (3) predictors of classification group over time. Clinical best estimate (CBE) diagnosis of ASD or non-ASD was made at each time point. Linear mixed-effects models were implemented to examine differences in developmental trajectories of stable and dynamic diagnostic groups. Multinomial logistic regression analyses were used to examine predictors of the likelihood of belonging to each CBE diagnostic classification group. Results revealed that sensitivity and stability of an ASD diagnosis significantly increased from Time 1 (sensitivity: 52%; stability: 63%) to Time 2 (sensitivity: 86%; stability: 68%). Different developmental trajectories of autism symptom severity and non-verbal and verbal IQ were observed across groups, with differences first observed at Time 1 and becoming more pronounced through Time 3. Presence of restricted and repetitive behaviors as well as limitations in initiation of joint attention and expressive language skills differentially predicted the likelihood of belonging to the different CBE diagnostic classification groups. Results suggest that ASD symptoms may emerge or attenuate over time, with some children meeting diagnosis at follow-up, and other children no longer meeting diagnostic criteria. From a systems perspective, diagnostic non-linearity may be viewed as a dynamic developmental process, where emergent properties arising from various biological, genetic, and experiential factors interact, culminating in phenotypic phenomena that change over time. Clinical implications include extending universal ASD and social communication screening into school-age, supporting families' understanding of diagnostic shifts, and ensuring unbiased diagnostic decision-making when following children with ASD.

Long-term stability of Wechsler Intelligence Scale for Children-fifth edition scores in a clinical sample.

This study investigated the stability of Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) scores for 225 children and adolescents from an outpatient neuropsychological clinic across, on average, a 2.6 year test-retest interval. WISC-V mean scores were relatively constant but subtest stability score coefficients were all below 0.80 (M = 0.66) and only the Verbal Comprehension Index (VCI), Visual Spatial Index (VSI), and omnibus Full Scale IQ (FSIQ) stability coefficients exceeded 0.80. Neither intraindividual subtest difference scores nor intraindividual composite difference scores were stable across time (M = 0.26 and 0.36, respectively). Rare and unusual subtest and composite score differences as well as subtest and index scatter at initial testing were unlikely to be repeated at retest (kappa = 0.03 to 0.49). It was concluded that VCI, VSI, and FSIQ scores might be sufficiently stable to support normative comparisons but that none of the intraindividual (i.e. idiographic, ipsative, or person-relative) measures were stable enough for confident clinical decision making.

Mood disorders, childhood maltreatment, and medical morbidity in US adults: An observational study.

OBJECTIVE: Mood disorders, child maltreatment, and medical morbidity are associated with enormous public health burden and individual suffering. The effect of mood disorders on medical morbidity, accounting for child maltreatment, has not been studied prospectively in a large, representative sample of community-dwelling US adults. This study tested the effects of mood disorders and child maltreatment on medical morbidity, and variation by subtypes. METHODS: Participants were noninstitutionalized US adults in the National Epidemiologic Survey on Alcohol and Related Conditions (N = 43,093 wave 1, N = 34,653 wave 2). Mood disorders included lifetime DSM-IV episodes of depression, dysthymia, mania, or hypomania. Child maltreatment was defined as sexual, physical, or emotional abuse, or physical or emotional neglect before age 18. Survey-weighted zero-inflated poisson regression was used to study effects on medical morbidity, a summary score of 11 self-reported medical conditions. Results were adjusted for age, sex, ethnicity/race, income, substance use disorders, smoking, and obesity. RESULTS: Mood disorders and child maltreatment additively associated with medical morbidity at study entry and three years later, with similar magnitude as obesity and smoking. Mania/hypomania (incidence rate ratio [IRR] 1.06, 95% CI 1.01-1.10) and child sexual (IRR 1.08, 95% CI 1.04-1.11) and emotional (IRR 1.05, 95% CI 1.01-1.10) abuse were associated with higher medical morbidity longitudinally. CONCLUSIONS: Child maltreatment is common, and its long-range negative effect on medical morbidity underscores the importance of trauma-informed care, and consideration of early life exposures. History of mania/hypomania should be considered in medical practice, and physical health must be emphasized in mental health care.

Napping characteristics and cognitive performance in older adults.

OBJECTIVES: To determine the association of napping intention, frequency, and duration with cognition in a nationally-representative sample of US older adults. METHODS: We performed a cross-sectional analysis of community-dwelling Medicare beneficiaries aged ≥65 years from Rounds 3 or 4 (2013-2014) of the National Health and Aging Trends Study (N = 2549). Participants reported past-month napping intention (intentional/unintentional), napping frequency (rarely/never [non-nappers], some days [infrequent nappers], most days/every day [frequent nappers]), and average nap duration (we categorized as ≤30 minutes [short]; 31-60 minutes [moderate]; and > 60 minutes [long]). Cognitive outcomes were performance on immediate and delayed word recall tests (IWR and DWR, respectively), the Clock Drawing Test (CDT), and self-rated memory (score: 1[excellent]-5[very poor]). RESULTS: After adjustment for potential confounders, unintentional nappers had poorer immediate word recall test performance than non-nappers (B = -0.23, P < 0.01) and intentional nappers (B = -0.26, P < 0.01). After further adjustment for daytime sleepiness, frequent nappers reported poorer self-rated memory than non-nappers (B = 0.14, P < 0.05). Compared with short nappers, long nappers had poorer IWR (B = -0.26, P < 0.05) and CDT scores (B = -0.17, P < 0.05). Except for the association of nap duration with IWR and CDT, these associations remained after excluding participants with dementia and/or proxy respondents. Among participants undiagnosed with dementia or proxies, moderate-duration naps were associated with better DWR than short naps (B = 0.24, P < 0.05). Neither napping intentionality nor frequency was associated with CDT performance. CONCLUSIONS: Among older adults, distinct aspects of napping are associated with cognitive performance. Prospective research, with objective measures of napping, is needed to elucidate the link between napping and cognitive trajectories.

Feasibility study for remote assessment of cognitive function in multiple sclerosis.

BACKGROUND: Cognitive impairment is common in multiple sclerosis (MS), and affects employment and quality of life. Large studies are needed to identify risk factors for cognitive decline. Currently, a MS-validated remote assessment for cognitive function does not exist. Studies to determine feasibility of large remote cognitive function investigations in MS have not been published. OBJECTIVE: To determine whether MS patients would participate in remote cognitive studies. We utilized the Modified Telephone Interview for Cognitive Status (TICS-M), a previously validated phone assessment for cognitive function in healthy elderly populations to detect mild cognitive impairment. We identified factors that influenced participation rates. We investigated the relationship between MS risk factors and TICS-M score in cases, and score differences between cases and control individuals. METHODS: The TICS-M was administered to MS cases and controls. Linear and logistic regression models were utilized. RESULTS: 11.5% of eligible study participants did not participate in cognitive testing. MS cases, females and individuals with lower educational status were more likely to refuse (p<0.001). Cases who did complete testing did not differ in terms of perceived cognitive deficit compared to cases that did participate. More severe disease, smoking, and being male were associated with a lower TICS-M score among cases (p<0.001). The TICS-M score was significantly lower in cases compared to controls (p=0.007). CONCLUSIONS: Our results demonstrate convincingly that a remotely administered cognitive assessment is quite feasible for conducting large epidemiologic studies in MS, and lay the much needed foundation for future work that will utilize MS-validated cognitive measures.