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Predicting developmental deficiencies at the age of four based on data from the first seven months of life
Anne Margrethe Rostad1, Per Nyberg2, Bengt Sivberg2
1Norwegian University of Science and Technology, Trondheim, and Levanger Hospital, Levanger, Norway.
Insights
Early identification of developmental problems in infants is possible through continuous screening and observation. A validated questionnaire aids in detecting children needing early intervention by age 4.
Area of Science:
- Pediatrics
- Developmental Psychology
- Public Health
Background:
- Early detection of developmental problems is crucial for timely intervention.
- Identifying precursors in the first 7 months of life can inform risk assessment.
- Sociodemographic and medical factors influence child development outcomes.
Purpose of the Study:
- To identify precursors of developmental problems in infants within the first 7 months of age.
- To develop and validate a screening tool for predicting developmental issues.
- To analyze risk factors associated with developmental problems.
Main Methods:
- Longitudinal data collection from birth through 4 years, including clinical screenings, observations, and parental reports.
- Logistic regression analysis to identify significant risk factors.
- Development of a 21-precursor screening questionnaire for early detection.
Main Results:
- A clinical group (11.1%) was identified at age 4.
- The screening questionnaire demonstrated high specificity (98.8%) and moderate sensitivity (56.1%).
- Sociodemographic data significantly contributed to prediction, while medical information was less impactful.
Conclusions:
- Continuous observation and screening effectively detect infants requiring early intervention.
- The developed screening tool shows promise in identifying children at risk for developmental problems.
- Early identification facilitates timely support for children's developmental trajectories.
Abstract:
The study examines very young children with the aim of identifying precursors of developmental problems during the first 7 months of age. Information from screening and observations in the birth clinic, in the first level of health care, and from parents was collected on five different occasions. The information that was included concerning the child and family was defined as either optimal or nonoptimal. At the age of 4 years, a clinical group was identified (11.1% of the total population). Logistic regression analyses were performed to detect risk factors. Twenty-one precursors were used to create a screening questionnaire that provided useful information (sensitivity = 56.1%, specificity = 98.8%) for predicting developmental problems of the children. The contribution of sociodemographic data was significant; medical information was less significant. The highest prediction rate surprisingly was found in the moderate clinical subgroup (62.1%), compared to the group with more severe problems that had a slightly lower rate (46.7%). The conclusion of the study is that it is possible to detect infants in need of early intervention using a continuous process of observation and screening.
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