The research team, led by Anne H. Zachry of the Department of Occupational Therapy at the University of Tennessee Health Sciences, together with colleagues spanning pediatrics, obstetrics, and preventive medicine, followed 58 infants from early infancy through their first birthday. Caregivers reported when they first introduced tummy time, choosing from prespecified categories ranging from the first two postnatal weeks to two months or older, or never. The infants were then divided into three groups: those introduced to tummy time within the first two postnatal weeks (22 infants), those introduced after the first two weeks (21 infants), and those whose caregivers reported never intentionally introducing it (15 infants). Development was assessed at 3, 6, 9, and 12 months using the Ages and Stages Questionnaire, Third Edition, a standardized parent-completed screening tool that measures communication, gross motor, fine motor, problem-solving, and personal-social skills.

The rationale for probing timing is grounded in developmental science. Prone positioning gives infants early opportunities to practice antigravity head and trunk control, upper-extremity weight bearing, postural adjustments, and active exploration of their environment. The early postnatal period is one of rapid neural and motor development, so introducing prone play during this window could, in principle, provide additional practice opportunities and build tolerance for a position many infants initially resist. Prior studies have consistently linked greater cumulative tummy-time exposure with better motor outcomes. One study of 100 caregivers found that four-month-olds with more tummy time achieved certain prone, supine, and sitting milestones earlier. A systematic review of 16 studies involving 4,237 infants across eight countries associated prone play with greater gross motor development, lower body mass index z-scores, and reduced brachycephaly, although the authors noted that most of the underlying evidence was observational and methodologically limited.

What has been missing is evidence on whether the timing of first exposure, independent of the total amount, makes a measurable difference. The new study addressed this gap directly, comparing infants who began within the first two postnatal weeks against those who began later or not at all, and tracking five developmental domains at four ages across the first year. The researchers used Kruskal-Wallis rank-sum tests, a nonparametric approach appropriate for small groups whose distributions may not meet normality assumptions, to compare score distributions across the three groups. They quantified differences with rank-based eta-squared effect sizes, estimated precision with 95 percent bootstrap confidence intervals built from 2,000 stratified resamples, and applied the Benjamini-Hochberg false-discovery-rate correction across the 20 primary domain-by-age comparisons to guard against spurious findings.

The results were largely null. Of the 20 primary comparisons, three produced unadjusted p-values below 0.05: communication at 6 months, communication at 9 months, and personal-social skills at 9 months. After correction for multiple comparisons, none remained statistically significant. The largest observed effect was for communication at 9 months, with an eta-squared of 0.275 and a 95 percent confidence interval spanning 0.100 to 0.507, followed by personal-social skills at 9 months at 0.213 and communication at 6 months at 0.155. These are nominally moderate to large effect sizes, but the confidence intervals were wide, reflecting the substantial uncertainty inherent in a sample of only 32 infants with complete five-domain data at the 3-, 6-, and 9-month assessments, and 30 infants at 12 months. The remaining comparisons produced effect estimates that were small or near zero, with confidence intervals that generally included zero.

One finding in particular caught the researchers’ attention and illustrates the hazards of overinterpreting small samples. At 9 months, the never-introduced group showed the highest mean personal-social score, at 56.9 with a standard deviation of 4.6, compared with 46.3 for the early-introduction group and 46.1 for the later-introduction group. On its face, this seems to run counter to the premise that earlier tummy time confers advantages. But the authors urge caution: the omnibus test does not establish which groups differ, the corrected p-value was not significant, and the never-introduced subgroup contained only eight infants, making its estimates exquisitely sensitive to sampling variability. The researchers also note that the study was designed to examine timing of introduction, not the independent developmental effects of tummy time itself, so comparisons involving the never-introduced group should not be read as evidence for or against the benefits of prone play.

The authors offer a plausible developmental explanation for why a transient signal might appear at 9 months and vanish elsewhere. Around this age, infants typically achieve independent sitting and increasing mobility, which transforms their opportunities for object exploration, caregiver interaction, and environmental engagement. Emerging motor skills have been linked to development in other domains, including communication and language, in prior work. These rapidly changing experiences could influence personal-social scores regardless of when tummy time began. By 12 months, accumulated motor, social, and environmental experiences may have washed out any early differences. Monthly caregiver reports of positioning, restrictive-equipment use, screen exposure, and interactive play showed broadly overlapping patterns across the tummy-time groups, suggesting that infants who started at different ages may have converged in their later experiences.

The study’s limitations are considerable and the authors are unusually candid about them. Attrition was substantial: only 30 of the 58 enrolled infants, or 51.7 percent, had complete five-domain outcomes at 12 months. Baseline comparisons between families who stayed and those who left revealed potentially meaningful imbalances, with standardized mean differences of 0.93 for maternal education, 0.68 for household income and caregiver marital status, 0.57 for paternal education, 0.49 for infant race, and 0.42 for tummy-time introduction group itself. Such differential loss to follow-up raises the risk of attrition bias, meaning the retained sample may not represent the original cohort. Both the exposure, the timing of first tummy time, and the outcome, the ASQ-3, were caregiver-reported, introducing the possibility of recall error and common-method bias. The broad later-introduction category also lumped together infants first exposed at ages ranging from two weeks to two months or older, so the actual temporal contrast between some early and later participants may have been only a few weeks, possibly too small to produce detectable differences on a broad screening instrument.

There is also the matter of what happens after introduction. The study did not standardize subsequent tummy-time practices, so infants who began later may have accumulated similar total exposure by mid-infancy, eroding any differences attributable to timing alone. Infant development is multifactorial, shaped by temperament, tolerance for prone positioning, growth, birth order, parental education, socioeconomic conditions, caregiver-infant interaction, opportunities for unrestricted movement, equipment use, screen exposure, sleep, and environmental stimulation. The sample was too small to support a stable multivariable model adjusting for these factors, meaning residual confounding is likely. The researchers calculated that a properly powered confirmatory study with three similar groups, a two-sided alpha of 0.05, 80 percent power, and a moderate effect size would require approximately 53 participants per group, or about 159 in total, rising to roughly 200 with an anticipated 20 percent attrition.

Importantly, the authors emphasize that current recommendations supporting supervised prone play should not be reconsidered based on these pilot findings. The study was never designed to evaluate whether tummy time itself benefits development, a question already addressed by a substantial prior literature, but rather whether the timing of first introduction matters. The answer, for now, is that there is no clear evidence of reproducible developmental differences by timing, and also no evidence that timing is irrelevant. The findings are best read as a map of uncertainty: preliminary patterns, wide confidence intervals, and a clear agenda for future research. Larger prospective studies with objectively documented exposure, detailed longitudinal measurement of tummy-time dose and quality, and prespecified covariate-adjusted analyses will be needed to determine whether the first fortnight of life truly represents a developmental window for prone play, or whether what matters most is simply the tummy time that follows.

Subject of Research: The relationship between the timing of tummy-time introduction in infancy and developmental outcomes during the first year of life

Article Title: Timing of tummy-time introduction and developmental outcomes during the first year of life: an exploratory pilot study

Article References: Zachry, A. H., Abdullah, F., Assfoura, R., Berke, T., Boushra, M., Ghaly, A., Khalil, M., Woods, L., & Zhao, C. (2026). Timing of tummy-time introduction and developmental outcomes during the first year of life: an exploratory pilot study. Frontiers in Pediatrics, 14, Article 1923077. https://doi.org/10.3389/fped.2026.1923077

Image Credits: AI Generated

DOI: 10.3389/fped.2026.1923077

Keywords: tummy time, infant development, ASQ-3, motor milestones, prone positioning, pilot study, pediatrics, developmental screening, attrition bias, caregiver report, American Academy of Pediatrics, early childhood

The tool, known as the CNC3 Caregiver Report Questionnaire or CNC3-CRQ, was developed by the Clinical Neuropsychology Collaborative for Childhood Cancers, a multi-institutional group of board-certified neuropsychologists working at leading pediatric cancer centers across North America. Their goal was deceptively simple: to give survivorship clinics a standardized, caregiver-driven screening instrument that could flag children who should be referred for formal neuropsychological services. In the new study, researchers led by Rachel S. Werk of Ann and Robert H. Lurie Children’s Hospital of Chicago and Northwestern University Feinberg School of Medicine put the questionnaire to the test in a real-world clinical setting, comparing its results directly against the referral recommendations made by the survivorship providers who cared for the children.

The study enrolled 173 childhood cancer survivors seen at a pediatric oncology survivorship clinic, a population that reflected the typical composition of long-term follow-up programs. Roughly 41 percent of the participants had a history of hematologic malignancy, such as leukemia or lymphoma, while 20 percent had survived a central nervous system tumor, the group at highest known risk for cognitive impairment. Parents completed the CNC3-CRQ, answering items that probe multiple neurocognitive domains, and the questionnaire generated both a cumulative screening result and domain-specific scores. Positive scores on the instrument were designed to indicate a need for referral to neuropsychology. Independently, and without knowledge of the questionnaire results, each child’s survivorship provider made a clinical recommendation about whether neuropsychological referral was warranted, creating a natural head-to-head comparison between structured screening and clinical gestalt.

The headline finding was the sheer scale of need the questionnaire uncovered. The CNC3-CRQ recommended neuropsychological referral for 68.2 percent of the survivors screened, a figure that underscores just how common cognitive concerns are in this population and how much unmet demand may be hiding beneath the surface of routine follow-up care. Prior research has documented that even survivors treated with chemotherapy alone, without any radiation to the brain, can show measurable deficits in attention, executive function, and processing speed years after treatment ends. Systematic reviews and meta-analyses have linked these deficits to lower educational attainment, reduced employment, and financial hardship in adulthood, making early identification not merely a clinical nicety but a matter of lifelong equity and opportunity.

Statistically, the convergence between the questionnaire and the clinicians was compelling. Survivors whose providers recommended neuropsychological referral had dramatically higher odds of a positive cumulative screen on the CNC3-CRQ, with an odds ratio of 13.2 and a 95 percent confidence interval spanning 3.76 to 52.1, a result significant at p less than 0.001. In plain terms, when an experienced oncology provider felt a child needed neuropsychological evaluation, the parent questionnaire very often agreed. The relationship held across every neurocognitive domain the instrument measures: parental level of concern and the percentage of symptoms endorsed were significantly and positively associated with provider recommendations in each domain. This domain-by-domain agreement matters because neuropsychological referral decisions are rarely about a single global score; clinicians weigh specific patterns, such as whether a child struggles primarily with working memory, language, or behavioral regulation.

One of the study’s most revealing analyses examined what actually drove providers’ referral decisions. When the researchers asked providers to state their specific reasons for recommending neuropsychology, reported parent or caregiver concern emerged as a key factor, and it was significantly associated with a positive score in the questionnaire’s Executive Functions: Behavior domain, with an odds ratio of 2.45, a 95 percent confidence interval of 1.06 to 5.95, and p less than 0.05. This finding highlights a subtle but important truth about pediatric survivorship care: parents are often the first to notice that something has changed in their child’s ability to organize homework, control impulses, or navigate social situations. A well-designed caregiver-report instrument effectively formalizes and quantifies that parental radar, converting it into data that can trigger timely evaluation rather than waiting for problems to escalate.

The convergence observed in this study is what psychometricians call convergent validity, the degree to which a new instrument agrees with an established criterion. Here the criterion was the accumulated clinical judgment of oncology providers who specialize in the care of childhood cancer survivors, providers who see the late effects of therapy every day. Achieving an odds ratio above 13 for the cumulative screen suggests the questionnaire is not merely duplicating generic developmental checklists but is genuinely tuned to the neurocognitive signature of pediatric cancer treatment. The instrument’s lineage reflects this specificity: it builds on earlier work by Jin-Shei Lai and colleagues, who developed parent-report cognitive function item banks using item response theory and explored their utility in computerized adaptive testing, a modern psychometric approach that allows brief assessments to remain precise across a wide range of ability levels.

Why does a screening tool like this matter so much? Comprehensive neuropsychological assessment is the gold standard for characterizing cognitive late effects, but it is a scarce resource. Board-certified pediatric neuropsychologists are concentrated in major academic centers, and studies have documented demographic, medical, and neighborhood barriers that prevent many children, particularly those from underserved communities, from ever reaching these services. Professional guidelines, including the Children’s Oncology Group’s long-term follow-up guidelines and standards of care articulated in pediatric oncology literature, call for monitoring of neuropsychological outcomes, yet surveys show that delivery of psychosocial and cognitive screening remains inconsistent across institutions. A brief parent-report questionnaire requires no specialized equipment, no dedicated testing sessions, and no neuropsychologist to administer, which means it can be embedded into routine survivorship visits even at community-based clinics far from academic hubs.

The study’s authors are careful about what the tool is and is not. The CNC3-CRQ is a screening and decision-support instrument, not a diagnostic test; a positive screen signals the need for comprehensive evaluation, it does not itself establish impairment. And because the comparison criterion was provider recommendation rather than formal neuropsychological testing, the study cannot yet say how the questionnaire performs against full assessment batteries. The researchers also note that the tool may be particularly valuable for providers with less experience identifying neurocognitive late effects, which is precisely the gap that exists in many treatment centers. In this sense, the questionnaire functions less as a replacement for clinical expertise and more as a democratizing force, packaging the pattern-recognition of specialist centers into a form any survivorship program can deploy.

The implications reach well beyond a single clinic. If validated in broader and more diverse populations, caregiver-report screening could become a standard element of long-term follow-up, ensuring that children treated for leukemia in a community hospital receive the same cognitive surveillance as those treated at a comprehensive cancer center. It could also help standardize research, giving multi-site studies a common metric for identifying survivors at risk and measuring the benefits of cognitive rehabilitation interventions. For the families of the roughly 68 percent of survivors the questionnaire flagged in this cohort, the message is equally direct: the concerns they carry home from clinic visits are real, measurable, and now, increasingly, something the health system can act upon systematically. As survival rates for childhood cancer continue to climb past 85 percent, the frontier of pediatric oncology is shifting from curing the disease to protecting the decades of life that follow, and tools like the CNC3-CRQ represent an elegant, low-cost step in that direction.

Subject of Research: Validation of a caregiver-report neuropsychological screening tool for identifying childhood cancer survivors needing neuropsychology referral

Article Title: A comparison of a novel neuropsychological screening tool with provider recommendations among pediatric cancer survivors

Article References: Werk, R. S., Haldipurkar, S. K., Reichek, J. L., Waanders, A. J., Paek, S., Baptiste, S., Lai, J.-S., & Powell, S. K. (2026). A comparison of a novel neuropsychological screening tool with provider recommendations among pediatric cancer survivors. Journal of Cancer Survivorship. https://doi.org/10.1007/s11764-026-02136-9

Image Credits: AI Generated

DOI: 10.1007/s11764-026-02136-9

Keywords: childhood cancer survivors, neuropsychological screening, CNC3-CRQ, neurocognitive late effects, cancer survivorship, caregiver report, executive function, pediatric oncology, convergent validity, referral decision support, cognitive impairment, Journal of Cancer Survivorship

The clinical problem the study addresses is both common and consequential. Psychiatric conditions such as anxiety, depression, attention-deficit/hyperactivity disorder, and post-traumatic stress disorder occur at elevated rates in autism spectrum disorder, yet they are chronically underdiagnosed in this population. Standard diagnostic interviews depend on the patient’s ability to articulate internal states, which is precisely what many autistic individuals, particularly those who are minimally verbal, find difficult or impossible. Clinicians therefore fall back on inference: they watch for aberrant behaviors and guess at the underlying distress. The trouble is that the same behavior can carry different meanings in different people. Aggression in a typically developing child might signal oppositional defiance, while the identical behavior in a minimally verbal autistic teenager might reflect undiagnosed obsessive-compulsive symptoms or unexpressed physical discomfort. Without a systematic way to link behaviors to symptom domains, inference becomes guesswork, and guesswork leads to missed diagnoses, inappropriate treatments, and prolonged suffering.

To build that systematic link, Strobl turned to a large pooled dataset drawn from three studies archived in the NIMH Data Archive. The combined sample included assessments on two complementary instruments. The first was the Child and Adolescent Symptom Inventory-5, which quantifies severity across twelve psychiatric symptom domains, including ADHD-hyperactive symptoms, oppositional defiant disorder, generalized anxiety, social anxiety, specific phobia, separation anxiety, obsessions, somatization, depression, post-traumatic stress, and schizophrenia-related severity. The second was the Aberrant Behavior Checklist, a 58-item rating scale originally developed to measure treatment effects in developmental disabilities, which captures behaviors such as irritability, lethargy, stereotypies, hyperactivity, and inappropriate speech. Caregiver ratings on both instruments were available for the same individuals, allowing the analysis to ask, item by item, which behaviors travel together with which symptoms.

The methodological core of the paper is a technique called Differentially Supervised Varimax, an extension of classical factor analytic rotation. Traditional varimax rotation, introduced by Kaiser in 1958, seeks uncorrelated components that each explain a maximal share of variance in a set of observed variables. The new approach modifies this objective: instead of maximizing variance explained in the behavior items alone, it searches for behavior profiles—weighted combinations of the 58 checklist items—that maximally differentiate symptom severity across groups. In other words, the algorithm is supervised by the diagnostic information: it learns which patterns of aberrant behavior track symptom dimensions most sharply within the autistic group, within the typically developing comparison group, and within subgroups of autistic individuals split by verbal ability into minimally verbal and fluently verbal categories. After adjusting for age and sex, group differences in the strength of these behavior-symptom associations were tested with permutation testing, a resampling procedure that builds an empirical null distribution, and controlled for false discoveries across the many simultaneous comparisons.

The results reveal a set of behavior profiles with strikingly specific psychiatric correlates in autism. A disruptive and hyperactive profile—combining irritability, agitation, and excessive motor activity—related more strongly in autistic individuals than in typically developing individuals to ADHD-hyperactive severity and oppositional defiant severity, but also to generalized anxiety, social anxiety, and specific phobia. This finding suggests that what looks like pure externalizing behavior in an autistic child may frequently be the behavioral surface of internalizing conditions, a possibility that standard diagnostic heuristics often overlook. A second profile, characterized by emotional reactivity—intense, rapidly shifting emotional responses to minor triggers—aligned with obsessive symptoms, somatization, and depressive severity. A third, marked by social withdrawal and self-injurious behavior, tracked social anxiety and separation anxiety specifically. Preoccupation, a fourth profile involving intense, circumscribed fixations, corresponded to schizophrenia-related severity, while a hypoactive and depressed-mood profile aligned with post-traumatic stress and specific phobia.

Perhaps the most clinically provocative result concerns minimally verbal autistic individuals. In this subgroup, a profile of passive withdrawal and hypoactivity—quiet disengagement, low energy, reduced initiation—related more strongly to obsessions, somatization, and depressive severity than it did in fluently verbal autistic individuals. The implication is sobering: the quiet, shut-down autistic patient who barely speaks may be carrying a heavy burden of obsessive thoughts, physical distress, and depression that is entirely invisible to a clinician expecting depression to look like tearfulness or verbalized hopelessness. Because minimally verbal individuals represent what researchers have called the neglected end of the spectrum, this finding provides an evidence-based starting point for detecting their suffering through behavior alone.

The study’s authors emphasize that the value of these profiles lies in their practical use as diagnostic triage tools. The proposed workflow is straightforward: a clinician observes a patient’s predominant aberrant behavior pattern, matches it to one of the identified profiles, and then prioritizes targeted history-taking, structured caregiver interviewing, and symptom measures in the linked domains. Prominent withdrawal accompanied by self-injury should trigger focused screening for social and separation anxiety. Marked emotional reactivity should prompt assessment for obsessive symptoms, somatic complaints, and depression. A disruptive, hyperactive presentation in an autistic patient should raise suspicion not only of ADHD and oppositional behavior but also of anxiety disorders. This does not replace clinical judgment; it channels it, converting a broad and unmanageable differential diagnosis into a focused set of hypotheses that can be confirmed or refuted with appropriate instruments and caregiver reports.

The findings also carry theoretical weight for the science of psychopathology in autism. A long-standing debate concerns whether standard psychiatric constructs—depression, anxiety, PTSD—mean the same thing in autistic and non-autistic people, or whether measurement invariance breaks down across the spectrum. Prior work has shown mixed results, with some studies finding equivalent factor structures for anxiety and depression measures and others finding distortions. The present results suggest a middle path: the symptom constructs themselves may be broadly applicable, but the behavioral expressions that signal them differ systematically between autistic and typically developing individuals, and again between minimally verbal and fluently verbal autistic subgroups. This heterogeneity in expression, rather than in underlying experience, may explain why autistic people are so often misdiagnosed or undiagnosed, and why caregiver report remains an indispensable but imperfect window into internal states.

The technical approach also contributes to a broader movement in precision psychiatry, in which machine learning and multivariate statistics are used to find objective markers that stratify patients and guide treatment. Where biomarker efforts have pursued neural signatures and genetic risk scores, this study demonstrates that low-cost, widely collected behavioral ratings can be reanalyzed to yield clinically actionable structure. The differentially supervised rotation method is general: the same framework could, in principle, be applied to other populations in which self-report is unreliable, including individuals with intellectual disability, dementia, or severe psychiatric illness. The pooled NIMH Data Archive design, combining multiple studies with harmonized instruments, strengthens the generalizability of the profiles, though the authors note that the associations are cross-sectional and do not establish that behaviors cause symptoms or vice versa.

For families, educators, and clinicians, the message is that behavior is communication, and that the code can be learned. A child who withdraws and hurts herself is not simply being defiant or self-stimulating; she may be signaling social and separation anxiety that treatment could relieve. A child whose emotions explode at small provocations may be struggling with obsessions, bodily distress, or depression. A quiet, passive child on the spectrum may be the one in the most psychological pain. By matching observed behavior patterns to empirically derived profiles and then probing the linked symptom domains, caregivers and clinicians can move from reactive crisis management to proactive detection of mental distress in people who cannot describe it in words—a shift that could meaningfully change outcomes across the autism spectrum.

Subject of Research: Behavior profiles that differentially indicate psychiatric symptom dimensions in autistic versus typically developing individuals and across verbal ability subgroups

Article Title: Unique Behavior Profiles That Specify Mental Distress in Autism

Article References: Strobl, E. V. (2026). Unique Behavior Profiles That Specify Mental Distress in Autism. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-026-07518-7

Image Credits: AI Generated

DOI: 10.1007/s10803-026-07518-7

Keywords: autism spectrum disorder, aberrant behavior checklist, mental health, anxiety, depression, minimally verbal, self-injury, psychiatric comorbidity, factor analysis, precision psychiatry, caregiver report, NIMH Data Archive