Psychosocial and Academic Characteristics of Extremely Low Birth Weight (≤800 g) Adolescents Who Are Free of Major Impairment Compared With Term-Born Control Subjects
Bibliographic record
Abstract
OBJECTIVE: To compare academic and cognitive ability, attention, attitudes, and behavior of extremely low birth weight (ELBW) adolescents who are free of major impairments at 17 years of age with term-born control subjects. METHODS: Between January 31, 1981, and February 9, 1986, 250 infants of < or =800 g were admitted for intensive care in British Columbia, 98 (39%) of whom survived to late adolescence. Teens with major sensorimotor handicaps and/or IQ <70 were excluded (n = 19). Of the 79 eligible ELBW teens, 53 (67%) were assessed at 17.3 (16.3-19.7) years (birth weight: 720 [520-800 g]; gestation: 26 [23-29] weeks). The test battery screened the following areas: cognitive (Wechsler Intelligence Scale for Adults Third Edition, 3 subtests), academic (Wide Range Achievement Test-3), attention (Connors' Continuous Performance Task), self-report (Harter Self-Perception Profile for Adolescents; Job Search Attitude Inventory), and parent report (Child Behavior Check List). A comparison group of term born control subjects (n = 31) were also assessed (birth weight: 3506 [3068-4196] g; gestation: 40 [39-42] weeks) at age 17.8 (16.5-19.0) years. Multivariate analysis of variance (group x gender) was conducted for each domain (cognitive, academic, self-report, and parent report). RESULTS: The ELBW group showed lower cognitive scores (vocabulary, block design, and digit symbol) and academic skills (reading and arithmetic) compared with control subjects, with no gender differences. There were no differences in attention between the 2 groups using a repetitive computer task. ELBW teens reported lower scholastic, athletic, job competence, and romantic confidence and viewed themselves as more likely to need help from others in finding a job. In the behavioral domain, parents reported their ELBW teens to display more internalizing, more externalizing, and more total problems than the control teens, with ELBW boys showing more problems. ELBW teens showed a higher percentage of clinically significant behavior problems than control subjects. CONCLUSIONS: In a provincial cohort of unimpaired survivors of birth weight < or =800 g, psychosocial and educational vulnerabilities persist into late adolescence and may complicate the transition to adult life compared with their peers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".