Using Structural Equation Modeling to Examine the Influence of Social, Behavioral, and Nutritional Variables on Health Outcomes Based on NHANES Data: Addressing Complex Design, Nonnormally Distributed Variables, and Missing Information | Zendy

Micah Hartwell | Zendy; Jam Khojasteh | Zendy; Marianna S. Wetherill | Zendy; Julie M. Croff | Zendy; Denna Wheeler | Zendy

Open Access

Using Structural Equation Modeling to Examine the Influence of Social, Behavioral, and Nutritional Variables on Health Outcomes Based on NHANES Data: Addressing Complex Design, Nonnormally Distributed Variables, and Missing Information

Author(s) -

Micah Hartwell,

Jam Khojasteh,

Marianna S. Wetherill,

Julie M. Croff,

Denna Wheeler

Publication year - 2019

Publication title -

current developments in nutrition

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.904

H-Index - 14

ISSN - 2475-2991

DOI - 10.1093/cdn/nzz010

Subject(s) - structural equation modeling , missing data , national health and nutrition examination survey , psychology , gerontology , computer science , environmental health , medicine , population , machine learning

Nutrition epidemiologists should use complex weights, MI, and QML as a best-practices approach to SEM when conducting analyses with complex design survey data.

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