THE EFFECTS OF FAMILY RESOURCES, COPING, AND STRAINS ON FAMILY ADJUSTMENT 18 TO 24 MONTHS AFTER THE NICU EXPERIENCE
Bibliographic record
Abstract
PURPOSE: To examine the relationship of family coping, resources, and strains on family adjustment over time following the NICU experience. DESIGN: Longitudinal, correlational study based on the Resiliency Model of Family Stress, Adjustment and Adaptation. SAMPLE: Data were collected, through mailed questionnaires, from 71 couples, 18 to 24 months following the birth of their infant. The data are a follow-up from a previous study conducted at the time of the infant's birth. MAIN OUTCOME VARIABLES: The dependent variable in the study was family adjustment, measured by the McMaster Family Assessment Device. The independent variables were family resources, as measured by the Family Inventory of Resource Management; family coping, as measured by the Family Crisis Oriented Evaluation Scales; family strain, as measured by the Family Inventory of Life Events and Changes; and parent gender, family system (first-time parent or not), and the child's health, as measured by the Demographic Information Questionnaire. RESULTS: Family adjustment improved over time for mothers but decreased for fathers. Fathers of infants with ongoing health problems reported significantly poorer family adjustment. Family resources were related to family adjustment and decreased over time for both parents. Families used more coping mechanisms and different coping patterns over time.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".