Louise Poppe, Johan Steen, Wen Wei Loh, Geert Crombez, Fien De Block, Noortje Jacobs, Peter W G Tennant, Jelle Van Cauwenberg, Annick L De Paepe
{"title":"如何为观察性健康研究开发因果有向无环图:范围综述。","authors":"Louise Poppe, Johan Steen, Wen Wei Loh, Geert Crombez, Fien De Block, Noortje Jacobs, Peter W G Tennant, Jelle Van Cauwenberg, Annick L De Paepe","doi":"10.1080/17437199.2024.2402809","DOIUrl":null,"url":null,"abstract":"<p><p>Causal directed acyclic graphs (DAGs) serve as intuitive tools to visually represent causal relationships between variables. While they find widespread use in guiding study design, data collection and statistical analysis, their adoption remains relatively rare in the domain of psychology. In this paper we describe the relevance of DAGs for health psychology, review guidelines for developing causal DAGs, and offer recommendations for their development. A scoping review searching for papers and resources describing guidelines for DAG development was conducted. Information extracted from the eligible papers and resources (<i>n</i> = 11) was categorised, and results were used to formulate recommendations. Most records focused on DAG development for data analysis, with similar steps outlined. However, we found notable variations on how to implement confounding variables (i.e., sequential inclusion versus exclusion). Also, how domain knowledge should be integrated in the development process was scarcely addressed. Only one paper described how to perform a literature search for DAG development. Key recommendations for causal DAG development are provided and discussed using an illustrative example.</p>","PeriodicalId":48034,"journal":{"name":"Health Psychology Review","volume":" ","pages":"1-21"},"PeriodicalIF":6.6000,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to develop causal directed acyclic graphs for observational health research: a scoping review.\",\"authors\":\"Louise Poppe, Johan Steen, Wen Wei Loh, Geert Crombez, Fien De Block, Noortje Jacobs, Peter W G Tennant, Jelle Van Cauwenberg, Annick L De Paepe\",\"doi\":\"10.1080/17437199.2024.2402809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Causal directed acyclic graphs (DAGs) serve as intuitive tools to visually represent causal relationships between variables. While they find widespread use in guiding study design, data collection and statistical analysis, their adoption remains relatively rare in the domain of psychology. In this paper we describe the relevance of DAGs for health psychology, review guidelines for developing causal DAGs, and offer recommendations for their development. A scoping review searching for papers and resources describing guidelines for DAG development was conducted. Information extracted from the eligible papers and resources (<i>n</i> = 11) was categorised, and results were used to formulate recommendations. Most records focused on DAG development for data analysis, with similar steps outlined. However, we found notable variations on how to implement confounding variables (i.e., sequential inclusion versus exclusion). Also, how domain knowledge should be integrated in the development process was scarcely addressed. Only one paper described how to perform a literature search for DAG development. Key recommendations for causal DAG development are provided and discussed using an illustrative example.</p>\",\"PeriodicalId\":48034,\"journal\":{\"name\":\"Health Psychology Review\",\"volume\":\" \",\"pages\":\"1-21\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2024-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Psychology Review\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1080/17437199.2024.2402809\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Psychology Review","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/17437199.2024.2402809","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
引用次数: 0
摘要
因果有向无环图(DAG)是直观表示变量间因果关系的工具。虽然它们被广泛应用于指导研究设计、数据收集和统计分析,但在心理学领域的应用却相对较少。在本文中,我们阐述了 DAG 与健康心理学的相关性,回顾了开发因果 DAG 的指南,并提出了开发 DAG 的建议。我们对描述 DAG 开发指南的论文和资源进行了范围界定。对从符合条件的论文和资源(n = 11)中提取的信息进行了分类,并将结果用于制定建议。大多数记录都侧重于数据分析的 DAG 开发,并概述了类似的步骤。不过,我们发现在如何实施混杂变量(即顺序纳入与排除)方面存在明显差异。此外,在开发过程中如何整合领域知识也几乎没有涉及。只有一篇论文介绍了如何为 DAG 开发进行文献检索。本文提供了因果 DAG 开发的主要建议,并通过一个示例进行了讨论。
How to develop causal directed acyclic graphs for observational health research: a scoping review.
Causal directed acyclic graphs (DAGs) serve as intuitive tools to visually represent causal relationships between variables. While they find widespread use in guiding study design, data collection and statistical analysis, their adoption remains relatively rare in the domain of psychology. In this paper we describe the relevance of DAGs for health psychology, review guidelines for developing causal DAGs, and offer recommendations for their development. A scoping review searching for papers and resources describing guidelines for DAG development was conducted. Information extracted from the eligible papers and resources (n = 11) was categorised, and results were used to formulate recommendations. Most records focused on DAG development for data analysis, with similar steps outlined. However, we found notable variations on how to implement confounding variables (i.e., sequential inclusion versus exclusion). Also, how domain knowledge should be integrated in the development process was scarcely addressed. Only one paper described how to perform a literature search for DAG development. Key recommendations for causal DAG development are provided and discussed using an illustrative example.
期刊介绍:
The publication of Health Psychology Review (HPR) marks a significant milestone in the field of health psychology, as it is the first review journal dedicated to this important and rapidly growing discipline. Edited by a highly respected team, HPR provides a critical platform for the review, development of theories, and conceptual advancements in health psychology. This prestigious international forum not only contributes to the progress of health psychology but also fosters its connection with the broader field of psychology and other related academic and professional domains. With its vital insights, HPR is a must-read for those involved in the study, teaching, and practice of health psychology, behavioral medicine, and related areas.