# Analyzing Trends in Mental and Behavioral Health Support for Children: A Comprehensive Study Using National Survey of Children’s Health Database

## TL;DR

This study examines trends in mental health treatment for U.S. children from 2016 to 2020, finding disparities by age, gender, and socioeconomic status.

## Contribution

The study provides new insights into demographic disparities in mental health treatment for children using recent national survey data.

## Key findings

- 51.7% of children received mental health treatment, with higher rates in females than males.
- Younger children (3-5) had lower treatment rates (33.5%) compared to adolescents (58.1%).
- Disparities were observed across race/ethnicity and socio-economic status.

## Abstract

Objective

This study aimed to explore mental and behavioral health support trends for children aged 3-17, analyzing treatment and counseling using United States data from the 2016-2020 National Survey of Children's Health (NSCH) database.

Methods

Employing a retrospective observational design, we systematically retrieved and analyzed NSCH Database data from 2016 to 2020. The focus was on understanding mental and behavioral health treatment percentages over time, specifically targeting demographic variations such as age groups, gender, race/ethnicity, and the federal poverty level percentage. Graphical representation utilized Excel, summarizing results based on aggregated data for distinct time intervals, highlighting the importance of mental and behavioral health support for children aged 3-17.

Results

The study identified significant temporal trends in mental and behavioral health treatment, revealing notable fluctuations across demographic and socio-economic variables. Of the 22,812 participants, 51.7% (CI: 50.2-53.1%, n=12,686) received treatment, exposing disparities. Gender differences were evident, with higher treatment rates in females (53.7%, CI: 51.6-55.9%, n=6,166) than males (50.1%, CI: 48.2-52.0%, n=6,520). Age-specific patterns indicated lower intervention rates in younger children (33.5%, CI: 28.6-38.8%, n=447, ages 3-5) compared to adolescents (58.1%, CI: 56.2-59.9%, n=8, 222 ages 12-17).

Conclusion

The conclusion highlights significant temporal fluctuations and pronounced demographic disparities. Findings underscore varying prevalence rates among age groups, genders, racial/ethnic backgrounds, and socio-economic status categories. This study provides valuable insights for policymakers, healthcare professionals, and researchers, informing targeted interventions to enhance mental and behavioral health support for United States children.