Work overview

Section 08 of 19

Multivariate regression

Sociodemographic and biochemical correlates of self-reported taste dysfunction: an NHANES analysis

Dhruva Arcot and Subhankar Chakraborty · 2026

Contents

Section 08 of 19

  1. 01Introduction and background
  2. 02Methodology
  3. 03Data source and target population
  4. 04Outcomes and covariate domain categorization
  5. 05Statistical analysis and design weighting
  6. 06Survey-weighted descriptive profiling
  7. 07Purposeful variable selection framework
  8. 08Multivariate regression
  9. 09Hypothesis
  10. 10Results
  11. 11Laboratory biomarkers and taste problems
  12. 12Metabolic, liver, and kidney biomarkers
  13. 13Vitamins
  14. 14Serum fatty acids
  15. 15Univariate logistic regression
  16. 16Multivariable logistic regression
  17. 17Discussion
  18. 18Conclusions
  19. 19Supplementary Material
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Work overview

Section 8 of 19

Multivariate regression

Dhruva Arcot and Subhankar Chakraborty · about 1 minutes

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The final multivariable models were constructed using a sequential block entry approach: The socio-demographic baseline anchor block: (Age, gender, race/ethnicity, education, income, marital status, and country of birth) was forced into a single “baseline” model to handle background confounding. Laboratory markers: were entered group-wise into the basic model to evaluate separately the impact of each group of biochemical markers on the taste problem.

We employed the Complex Samples Logistic Regression model to perform the multivariate regression. Associations are expressed as Adjusted Odds Ratios (aOR) with corresponding 95 % Confidence Intervals (CI).