Predicting Insomnia Symptoms in University Students Using Machine Learning: The Roles of Stress, Dietary Intake, and Nature Connectedness

Popsy Y F Poon; Sam S S Lau; W L Chui; L H Lam

doi:10.1016/j.sleep.2025.108425

Predicting Insomnia Symptoms in University Students Using Machine Learning: The Roles of Stress, Dietary Intake, and Nature Connectedness

Popsy Y F Poon^*
, Sam S S Lau
, W L Chui
, L H Lam

^*Corresponding author for this work

School of Continuing Education

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	46
Number of pages	1
Journal	Sleep Medicine
Volume	138
Issue number	Supplement
Early online date	29 Jan 2026
DOIs	https://doi.org/10.1016/j.sleep.2025.108425
Publication status	Published - Feb 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1016/j.sleep.2025.108425

Cite this

@article{9b73d12fee3d457fb13b702da021e730,

title = "Predicting Insomnia Symptoms in University Students Using Machine Learning: The Roles of Stress, Dietary Intake, and Nature Connectedness",

author = "Poon, \{Popsy Y F\} and Lau, \{Sam S S\} and Chui, \{W L\} and Lam, \{L H\}",

note = "The authors thank all participants who took part in this study. This research was supported by the Seed Grant Funding Scheme of the School of Continuing Education, Hong Kong Baptist University and Research Centre for Environment and Human Health. The authors declare no competing interests. Each author confirms affiliation with an institution primarily engaged in education or research.",

year = "2026",

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doi = "10.1016/j.sleep.2025.108425",

language = "English",

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T1 - Predicting Insomnia Symptoms in University Students Using Machine Learning: The Roles of Stress, Dietary Intake, and Nature Connectedness

AU - Poon, Popsy Y F

AU - Lau, Sam S S

AU - Chui, W L

AU - Lam, L H

N1 - The authors thank all participants who took part in this study. This research was supported by the Seed Grant Funding Scheme of the School of Continuing Education, Hong Kong Baptist University and Research Centre for Environment and Human Health. The authors declare no competing interests. Each author confirms affiliation with an institution primarily engaged in education or research.

PY - 2026/2

Y1 - 2026/2

U2 - 10.1016/j.sleep.2025.108425

DO - 10.1016/j.sleep.2025.108425

M3 - Conference article

SN - 1389-9457

VL - 138

SP - 46

JO - Sleep Medicine

JF - Sleep Medicine

IS - Supplement

ER -