Predictive factors of Black American emerging adults’ psychological flourishing: a random forest analysis

Flourishing reflects positive psychosocial functioning and well-being. In this study, recent psychological distress was indexed using the CDC Healthy Days mental health item (mentally unhealthy days), reverse-coded as good mental health days. Emerging adulthood (18–29) is pivotal for mental health, yet robust predictors of flourishing among Black American emerging adults are understudied. We analyzed data from 513 participants (Mage = 23.6, SD = 3.35) using a 1,000-tree Random Forest with SHapley Additive exPlanations (SHAP). Performance was stable using out-of-bag (OOB) internal validation (OOB R2 = 0.267; test R2 = 0.245; RMSE = 1.044). JHAC was the dominant predictor, followed by good mental health days and good physical health days; discrimination and sleep showed smaller contributions, and substance use contributed least. Models included demographic covariates (age, education, religion, marital status, employment, female, parenting status, and having children). SHAP interaction values suggested conditional effects involving JHAC, including a pattern consistent with buffering in the association between current discrimination and flourishing. Methodologically, random forest and SHAP yielded transparent, individual-level explanations, revealing nonlinearities and interactions without pre-specification.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-04-17
DOI
https://doi.org/10.1038/s41598-026-46864-5
Primary Topic
Psychological Well-being and Life Satisfaction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive factors of Black American emerging adults’ psychological flourishing: a random forest analysis

Elizabeth Jelsma, Nema Kebbeh
Scientific Reports
Psychological Well-being and Life Satisfaction
article

Predictive factors of Black American emerging adults’ psychological flourishing: a random forest analysis

Elizabeth Jelsma, Nema Kebbeh
article en

Abstract

Flourishing reflects positive psychosocial functioning and well-being. In this study, recent psychological distress was indexed using the CDC Healthy Days mental health item (mentally unhealthy days), reverse-coded as good mental health days. Emerging adulthood (18–29) is pivotal for mental health, yet robust predictors of flourishing among Black American emerging adults are understudied. We analyzed data from 513 participants (Mage = 23.6, SD = 3.35) using a 1,000-tree Random Forest with SHapley Additive exPlanations (SHAP). Performance was stable using out-of-bag (OOB) internal validation (OOB R2 = 0.267; test R2 = 0.245; RMSE = 1.044). JHAC was the dominant predictor, followed by good mental health days and good physical health days; discrimination and sleep showed smaller contributions, and substance use contributed least. Models included demographic covariates (age, education, religion, marital status, employment, female, parenting status, and having children). SHAP interaction values suggested conditional effects involving JHAC, including a pattern consistent with buffering in the association between current discrimination and flourishing. Methodologically, random forest and SHAP yielded transparent, individual-level explanations, revealing nonlinearities and interactions without pre-specification.

Scientific Reports
University of Houston (US)
Gender equality
Openalex Percentile: Top 16%
Psychological Well-being and Life Satisfaction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.