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统计功效的作用:拉脱维亚青少年大样本和小样本中情绪与行为问题、社会人口学因素及吸烟行为之间关系的研究

The Role of Statistical Power: A Study of Relationship Between Emotional and Conduct Problems, Sociodemographic Factors, and Smoking Behaviours in Large and Small Samples of Latvian Adolescents.

作者信息

Kiselova Viola Daniela, Ozolina Kristine, Zolovs Maksims, Nagle Evija, Reine Ieva

机构信息

Institute of Public Health, Riga Stradins University, Kronvalda Boulevard 9, LV-1010 Riga, Latvia.

Statistics Unit, Riga Stradins University, LV-1007 Riga, Latvia.

出版信息

Medicina (Kaunas). 2025 Apr 9;61(4):687. doi: 10.3390/medicina61040687.

DOI:10.3390/medicina61040687
PMID:40282978
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12028649/
Abstract

: Adolescent smoking is influenced by sociodemographic and psychological factors, including emotional and conduct problems. Understanding how sample size impacts the interpretation of these associations is critical for improving study design and public health interventions. This study examines the relationships between smoking behaviours, sociodemographic factors, and emotional and conduct problems, focusing on how sample size affects statistical significance and effect size interpretation. : Data from the Latvian Health Behaviour in School-aged Children study was analysed. Chi-square tests and logistic regression were conducted to evaluate associations between smoking behaviours, sociodemographic factors, and emotional and conduct problems. Analyses were performed on both a large general sample and ten smaller generated subsamples to compare the impact of sample size on statistical outcomes. : Age and conduct problems emerged as the most consistent predictors of adolescent smoking behaviours across large and small samples, while other predictors, such as family affluence and family structure, showed weaker and less consistent associations. A large sample produced significant results even for weak predictors. : This study highlights the importance of integrating effect size interpretation with statistical significance, particularly in large datasets, to avoid overstating findings. By leveraging real-world data, it provides practical recommendations for improving study design and interpretation in behavioural, medical, and public health research, contributing to more effective interventions targeting adolescent smoking.

摘要

青少年吸烟受社会人口统计学和心理因素影响,包括情绪和行为问题。了解样本量如何影响这些关联的解释对于改进研究设计和公共卫生干预措施至关重要。本研究考察吸烟行为、社会人口统计学因素以及情绪和行为问题之间的关系,重点关注样本量如何影响统计显著性和效应量解释。

对拉脱维亚学龄儿童健康行为研究的数据进行了分析。进行卡方检验和逻辑回归以评估吸烟行为、社会人口统计学因素以及情绪和行为问题之间的关联。对一个大型总体样本和十个较小的生成子样本进行了分析,以比较样本量对统计结果的影响。

年龄和行为问题在大样本和小样本中均成为青少年吸烟行为最一致的预测因素,而其他预测因素,如家庭富裕程度和家庭结构,显示出较弱且不太一致的关联。即使对于较弱的预测因素,大样本也产生了显著结果。

本研究强调了将效应量解释与统计显著性相结合的重要性,尤其是在大型数据集中,以避免夸大研究结果。通过利用实际数据,它为改进行为、医学和公共卫生研究中的研究设计和解释提供了实用建议,有助于针对青少年吸烟制定更有效的干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5248/12028649/917e7bdabddf/medicina-61-00687-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5248/12028649/917e7bdabddf/medicina-61-00687-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5248/12028649/917e7bdabddf/medicina-61-00687-g001.jpg

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