Rachel J Burns, Geneviève C Forget, Kimia Fardfini-Ruginets
{"title":"采用规格曲线分析探讨积极心理健康与心脏代谢疾病维度之间的前瞻性关联。","authors":"Rachel J Burns, Geneviève C Forget, Kimia Fardfini-Ruginets","doi":"10.1037/hea0001459","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Literature suggests that higher positive psychological well-being (PPWB) is associated with reduced risk of cardiometabolic disease. However, PPWB is multidimensional. Most models do not distinguish between dimensions of PPWB in relation to cardiometabolic disease. This study demonstrated how specification curve analysis can be used to explore if the association between PPWB and incident cardiometabolic disease is influenced by the dimension of PPWB, cardiometabolic disease, and covariates under investigation.</p><p><strong>Method: </strong>Data came from the Midlife in the United States study (<i>n</i> = 2,895). Nine dimensions of PPWB and covariates were measured at baseline (2004-2005) and five cardiometabolic diseases were self-reported at follow-up (2013-2014). One hundred eighty model specifications, each containing one dimension of PPWB, one cardiometabolic disease, and one set of covariates, were generated. Standardized odds ratios from corresponding logistic regression models, in which PPWB predicted incident cardiometabolic disease, were then plotted on a specification curve.</p><p><strong>Results: </strong>The median standardized odds ratio across models was 0.94. PPWB was inversely associated with incident cardiometabolic disease in 18% of models. Significant associations depended upon the dimension of PPWB, the outcome, and covariates.</p><p><strong>Conclusion: </strong>Researcher decisions about the dimension of PPWB, cardiometabolic disease outcome, and covariates under investigation appear to be consequential. Specification curve analysis can be used to develop an evidence base that starts to distinguish between dimensions of PPWB in relation to cardiometabolic disease. Thinking carefully about if and how specific dimensions of PPWB are associated with particular health outcomes is an avenue for theory refinement. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":55066,"journal":{"name":"Health Psychology","volume":"44 7","pages":"696-707"},"PeriodicalIF":3.1000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using specification curve analysis to explore prospective associations between dimensions of positive psychological well-being and cardiometabolic disease.\",\"authors\":\"Rachel J Burns, Geneviève C Forget, Kimia Fardfini-Ruginets\",\"doi\":\"10.1037/hea0001459\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Literature suggests that higher positive psychological well-being (PPWB) is associated with reduced risk of cardiometabolic disease. However, PPWB is multidimensional. Most models do not distinguish between dimensions of PPWB in relation to cardiometabolic disease. This study demonstrated how specification curve analysis can be used to explore if the association between PPWB and incident cardiometabolic disease is influenced by the dimension of PPWB, cardiometabolic disease, and covariates under investigation.</p><p><strong>Method: </strong>Data came from the Midlife in the United States study (<i>n</i> = 2,895). Nine dimensions of PPWB and covariates were measured at baseline (2004-2005) and five cardiometabolic diseases were self-reported at follow-up (2013-2014). One hundred eighty model specifications, each containing one dimension of PPWB, one cardiometabolic disease, and one set of covariates, were generated. Standardized odds ratios from corresponding logistic regression models, in which PPWB predicted incident cardiometabolic disease, were then plotted on a specification curve.</p><p><strong>Results: </strong>The median standardized odds ratio across models was 0.94. PPWB was inversely associated with incident cardiometabolic disease in 18% of models. Significant associations depended upon the dimension of PPWB, the outcome, and covariates.</p><p><strong>Conclusion: </strong>Researcher decisions about the dimension of PPWB, cardiometabolic disease outcome, and covariates under investigation appear to be consequential. Specification curve analysis can be used to develop an evidence base that starts to distinguish between dimensions of PPWB in relation to cardiometabolic disease. Thinking carefully about if and how specific dimensions of PPWB are associated with particular health outcomes is an avenue for theory refinement. 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引用次数: 0
摘要
目的:文献表明,较高的积极心理健康(PPWB)与降低心脏代谢疾病的风险相关。然而,PPWB是多维的。大多数模型不区分与心脏代谢疾病相关的PPWB的维度。本研究展示了如何使用规格曲线分析来探索PPWB与心血管代谢疾病之间的关联是否受到PPWB、心血管代谢疾病和被调查协变量的影响。方法:数据来自美国中年人研究(n = 2,895)。在基线(2004-2005年)测量了PPWB的9个维度和协变量,并在随访(2013-2014年)中自我报告了5种心脏代谢疾病。产生了180个模型规格,每个规格包含PPWB的一个维度、一种心脏代谢疾病和一组协变量。来自相应逻辑回归模型的标准化优势比,其中PPWB预测心血管代谢疾病的发生,然后绘制在规格曲线上。结果:各模型标准化优势比中位数为0.94。在18%的模型中,PPWB与心血管代谢疾病的发生呈负相关。显著相关性取决于PPWB的维度、结果和协变量。结论:研究人员对PPWB、心脏代谢疾病结局和调查中的协变量的决定似乎是重要的。规格曲线分析可用于建立一个证据基础,开始区分与心脏代谢疾病相关的PPWB的各维度。仔细思考PPWB的具体维度是否以及如何与特定的健康结果相关联,是完善理论的途径。(PsycInfo Database Record (c) 2025 APA,版权所有)。
Using specification curve analysis to explore prospective associations between dimensions of positive psychological well-being and cardiometabolic disease.
Objective: Literature suggests that higher positive psychological well-being (PPWB) is associated with reduced risk of cardiometabolic disease. However, PPWB is multidimensional. Most models do not distinguish between dimensions of PPWB in relation to cardiometabolic disease. This study demonstrated how specification curve analysis can be used to explore if the association between PPWB and incident cardiometabolic disease is influenced by the dimension of PPWB, cardiometabolic disease, and covariates under investigation.
Method: Data came from the Midlife in the United States study (n = 2,895). Nine dimensions of PPWB and covariates were measured at baseline (2004-2005) and five cardiometabolic diseases were self-reported at follow-up (2013-2014). One hundred eighty model specifications, each containing one dimension of PPWB, one cardiometabolic disease, and one set of covariates, were generated. Standardized odds ratios from corresponding logistic regression models, in which PPWB predicted incident cardiometabolic disease, were then plotted on a specification curve.
Results: The median standardized odds ratio across models was 0.94. PPWB was inversely associated with incident cardiometabolic disease in 18% of models. Significant associations depended upon the dimension of PPWB, the outcome, and covariates.
Conclusion: Researcher decisions about the dimension of PPWB, cardiometabolic disease outcome, and covariates under investigation appear to be consequential. Specification curve analysis can be used to develop an evidence base that starts to distinguish between dimensions of PPWB in relation to cardiometabolic disease. Thinking carefully about if and how specific dimensions of PPWB are associated with particular health outcomes is an avenue for theory refinement. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
期刊介绍:
Health Psychology publishes articles on psychological, biobehavioral, social, and environmental factors in physical health and medical illness, and other issues in health psychology.