A Minority of the Variance in Single-Recall Nutrient-Density Pattern Scores Is Between-Person: A Reliability and Regression-Calibration Framework

Background: Dietary pattern–mortality studies usually report one estimate from a single 24-hour recall, without asking what share of the variance in the resulting pattern score is between-person rather than within-person variation. Methods: We pooled ten National Health and Nutrition Examination Survey (NHANES) cycles (1999–2018) linked to the 2019 Mortality File, derived nutrient-density patterns from 26 harmonized nutrients by non-negative matrix factorization, and modeled cause-specific mortality with survey-weighted Fine–Gray subdistribution hazards. Results: The cohort comprised 47,257 adults and 7629 deaths over a median of 9.2 years. No reconstruction-error elbow appeared at any rank from k = 2 to 8, so the two retained components are reported as macronutrient-dominant axes, one fat-dominant and one carbohydrate-dominant, not as discovered food-based patterns. Between-person variation accounted for 31.6% and 35.2% of the variance of a single observed day’s score. After Holm–Bonferroni correction no pattern–mortality contrast reached significance. The strongest, the fat axis against other-cause mortality, gave a hazard ratio of 0.92 (95% CI: 0.82–1.04, padj = 1.000). Regression calibration against a second-day recall moved that estimate away from the null (0.80, 95% CI: 0.57–1.10) while widening its interval, quantifying the attenuation a single recall imposes. Conclusions: The reliability coefficients and calibration factors are reusable by other single-recall NHANES analyses.

Authors

Institutions

Publication Details

Journal
Nutrients
Published
2026-11-11
DOI
https://doi.org/10.3390/nu18223734
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

A Minority of the Variance in Single-Recall Nutrient-Density Pattern Scores Is Between-Person: A Reliability and Regression-Calibration Framework

Irina Naskinova, Mikhail Kolev, Meglena D. Lazarova, Hristo Kalinov et al.
Nutrients
Nutritional Studies and Diet
article

A Minority of the Variance in Single-Recall Nutrient-Density Pattern Scores Is Between-Person: A Reliability and Regression-Calibration Framework

Irina Naskinova, Mikhail Kolev, Meglena D. Lazarova, Hristo Kalinov, Velin Klisurov
article en

Abstract

Background: Dietary pattern–mortality studies usually report one estimate from a single 24-hour recall, without asking what share of the variance in the resulting pattern score is between-person rather than within-person variation. Methods: We pooled ten National Health and Nutrition Examination Survey (NHANES) cycles (1999–2018) linked to the 2019 Mortality File, derived nutrient-density patterns from 26 harmonized nutrients by non-negative matrix factorization, and modeled cause-specific mortality with survey-weighted Fine–Gray subdistribution hazards. Results: The cohort comprised 47,257 adults and 7629 deaths over a median of 9.2 years. No reconstruction-error elbow appeared at any rank from k = 2 to 8, so the two retained components are reported as macronutrient-dominant axes, one fat-dominant and one carbohydrate-dominant, not as discovered food-based patterns. Between-person variation accounted for 31.6% and 35.2% of the variance of a single observed day’s score. After Holm–Bonferroni correction no pattern–mortality contrast reached significance. The strongest, the fat axis against other-cause mortality, gave a hazard ratio of 0.92 (95% CI: 0.82–1.04, padj = 1.000). Regression calibration against a second-day recall moved that estimate away from the null (0.80, 95% CI: 0.57–1.10) while widening its interval, quantifying the attenuation a single recall imposes. Conclusions: The reliability coefficients and calibration factors are reusable by other single-recall NHANES analyses.

NutrientsVol. 18(22)
University of Architecture, Civil Engineering and Geodesy (BG), Technical University of Sofia (BG), University of Warmia and Mazury in Olsztyn (PL), Sofia University "St. Kliment Ohridski" (BG)
Nutritional Studies and Diet
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon