潜在类模型
心理健康
年轻人
优势比
横断面研究
星团(航天器)
医学
公共卫生
心理学
老年学
人口学
精神科
统计
病理
社会学
护理部
计算机科学
程序设计语言
数学
作者
Na Qin,Ying Li,Yinglong Duan,Yating Luo,Jing Li,Huan Cao,Xing Zhou,Yaqin Wang,Pingting Yang,Jianfei Xie,Andy S. K. Cheng
标识
DOI:10.1016/j.jad.2023.11.087
摘要
Youth mental health problems are a public health priority. Multiple healthy lifestyle behaviors may cluster into healthy lifestyle behavioral patterns (HLBPs) that increase mental health risks in adolescents and older adults, but little is known regarding young adults. This study aimed to explore the associations between cluster HLBPs and mental health problems in young adults. We selected 161,744 young adults aged 20–39 as participants from the database of a Chinese general hospital health management center for the years 2015–2020. The latent class analysis was used to identify HLBPs. A total of 15.0 % of young adults have at least one mental health problem. Five clusters of HLBPs were identified, characterized as low-risk class (1.6 %), moderate-risk class 1 (12.0 %), moderate-risk class 2 (2.1 %), moderate-risk class 3 (56.8 %), and high-risk class (27.4 %). The odds ratios (ORs) for young adults with two mental health problems increased with the risk grade of HLBPs, while the ORs for young adults with one or three mental health problems ranged from high to low according to the risk grade of HLBPs: high-risk class, moderate-risk class 2, moderate-risk class 3, moderate-risk class 1. Cross-sectional design and no causal conclusions could be drawn. Young adults demonstrated a cluster phenomenon of healthy lifestyle behaviors and significant associations between HLBPs and mental health problems. Young adults with a higher risk grade for HLBPs were more likely to have mental health problems. Different HLBPs should be taken into account when implementing mental health interventions.
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