EventsThe 1st International Online Conference on Social Sciences
Published
This submission belongs to the session S4. Family Studies of the event The 1st International Online Conference on Social Sciences
Published date
25 May, 2026
Academic Editor
author-avatarAntonio Bova
Citation
Xin Li, Tonghui Xu, Dandan Liang, The Overlooked Role of Fathers’ Mental Health: Evidence from Feature Selection Using National Data, in Proceedings of The 1st International Online Conference on Social Sciences, 28 May–29 May 2026, MDPI: Basel, Switzerland
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The Overlooked Role of Fathers’ Mental Health: Evidence from Feature Selection Using National Data

Tonghui Xu 1
1. Humana Integrated Health Systems Science Institute, University of Houston, Houston, 77021, USA, USA
2. Department of Curriculum and Instruction, University of Houston, Houston, Texas 77004, U.S., USA
Abstract

Introduction

While the relationship between parental health and children’s well-being has received increasing attention, the role of fathers’ mental health in shaping young children’s mental health remains underexplored. This study examines the association between fathers’ perceived mental health status and the perceived mental health of children using nationally representative survey data.

Methods

Data were drawn from the Medical Expenditure Panel Survey (MEPS), a large-scale national survey of U.S. families and individuals. The sample included 7,685 children aged 2–7 years and their fathers. The outcome variable, children’s perceived mental health status, was recoded into a binary variable representing optimal versus suboptimal mental health. Covariates included children’s demographic characteristics, health conditions, and family socioeconomic factors, as well as fathers’ health status, education level, employment status, and other family characteristics.

Feature selection was conducted using the Boruta algorithm with 10-fold cross-validation to identify the most relevant predictors of children’s mental health. Based on the feature selection results, weighted binary logistic regression models were conducted to examine the relationships between selected variables and children’s mental health outcomes.

Results

Results indicated that fathers’ perceived mental health, fathers’ health status, family income, children’s health status, presence of medical conditions, and child age were among the most important predictors. Children whose fathers reported suboptimal mental health were significantly more likely to experience suboptimal mental health themselves.

Conclusions

These findings highlight the importance of considering paternal well-being within family-centered approaches to children’s mental health. The presentation also invites dialogue and potential cross-national collaborations to examine similar relationships across different cultural and policy contexts.

Keywords
Father mental health
Child mental health
Family health and well-being
Feature selection
Machine learning in social science
National survey data
Health disparities
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