ArticleCurrent developments in nutrition2019
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.
Article in Current developments in nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Applications of causal and structural equation modeling in epidemiology: a systematic and critical review.BMC medical research methodology · 2026Pooled it
- Handling Missing Data in Health Economics and Outcomes Research (HEOR): A Systematic Review and Practical Recommendations.PharmacoEconomics · 2023Pooled it
- The relationship of Systemic Inflammatory Index with asthma in adults: A retrospective cross-sectional study.The Journal of international medical research · 2025Article
- Determinants of Child Growth in Palestine (Ages 5-17): A Structural Equation Modeling Approach to Food Insecurity, Nutrition, and Socioeconomic Factors.Children (Basel, Switzerland) · 2025Article
- Social determinants of health and mortality on hyperuricemia adults in the USA from 2007 to 2016: a national cohort study.BMC public health · 2025Article
- CRP-Albumin-Lymphocyte index (CALLYI) as a risk-predicting biomarker in association with osteoarthritis.Arthritis research & therapy · 2025Article
- Proton pump inhibitors use and risk of type 2 diabetes mellitus: correlation analysis, prediction model construction, and key genes identification.Frontiers in pharmacology · 2025Article
- The association between high atherogenic index of plasma and impaired lung function: a population-based study.Frontiers in medicine · 2025Article
- The association between coffee intake and femoral neck bone mineral density based on the NHANES and Mendelian randomisation study.Journal of nutritional science · 2025Observational
- Do Work Schedule and Work Position have an Impact on Fatigue among Geothermal Workers during the COVID-19 Pandemic? An Analysis Using Structural Equation Modeling.Acta medica Philippina · 2025Article
- Association between systemic inflammatory response index and glaucoma incidence from 2005 to 2008.Frontiers in medicine · 2025Article
- Relationship between systemic immune-inflammation index and long-term all-cause and cause-specific mortality among adult asthma patients: a population-based study.BMC pulmonary medicine · 2024Article
- Systemic inflammation markers independently associated with increased mortality in individuals with hyperuricemia: Results from the NHANES prospective cohort study.Immunity, inflammation and disease · 2024Article
- Association between obesity and systemic immune inflammation index, systemic inflammation response index among US adults: a population-based analysis.Lipids in health and disease · 2024Article
- Nonlinear associations of systemic immune-inflammation index with all-cause and cardiovascular mortality in US adults with rheumatoid arthritis.Scientific reports · 2024Article
- Association of the systemic immune-inflammation index with all-cause and cardiovascular mortality in individuals with rheumatoid arthritis.Scientific reports · 2024Article
- Epidemiological and transcriptome data identify shared gene signatures and immune cell infiltration in type 2 diabetes and non-small cell lung cancer.Diabetology & metabolic syndrome · 2024Article
- Association between plasma trans fatty acid levels and rheumatoid arthritis: a cross-sectional study using NHANES 1999-2000 and 2009-2010 data in US adults.Frontiers in nutrition · 2024Article
- Inverted U-Shaped relationship Between Systemic Immune-Inflammation Index and Pulmonary Function: A Large Population-Based Study in US Adults.International journal of chronic obstructive pulmonary disease · 2024Article
- The association between the aggregate index of systemic inflammation and risk of rheumatoid arthritis: retrospective analysis of NHANES 1999-2018.Frontiers in medicine · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundStructural equation modeling (SEM) is a multivariate analysis method for exploring relations between latent constructs and measured variables. As a theory-guided approach, SEM estimates directional pathways in complex models based on longitudinal or cross-sectional data where randomized control trials would either be unethical or cost prohibitive. However, this method is infrequently used in nutrition research, despite recommendations by epidemiologists for its increased use.
objectivesThe aim of this study was to explore 3 key methodologic areas for consideration by researchers when conducting SEM with complex survey datasets: the use of sampling weights, treatment of missing data, and model estimation techniques.
methodsWith the use of data from NHANES waves 2005-2010, we developed an SEM to estimate the relation between the latent construct of depression and measured variables of food security, tobacco use (serum cotinine), and age. We used a hierarchic approach to compare 5 SEM model iterations through the use of:
resultsPath coefficients differed between 15.68% and 19.17% among model iterations. Nearly one-third of the cases had missing values, and MI reliably imputed values, allowing all cases to be represented in the final model iterations. QML provided better model fit statistics in all iterations.
conclusionsNutrition 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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