A risk-based approach to measuring population micronutrient status from blood biomarker concentrations
BackgroundNutrient biomarkers and their definitive cut-offs are used to classify individuals as nutrient-deficient or sufficient. This determinism does not consider any uncertainty, and a probability approach, using biomarker distributions, is then preferable to define the risk of nutrition deficien...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Nutrition |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnut.2022.991707/full |
| _version_ | 1828111292715499520 |
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| author | Santu Ghosh Anura V. Kurpad Harshpal S. Sachdev Tinku Thomas |
| author_facet | Santu Ghosh Anura V. Kurpad Harshpal S. Sachdev Tinku Thomas |
| author_sort | Santu Ghosh |
| collection | DOAJ |
| description | BackgroundNutrient biomarkers and their definitive cut-offs are used to classify individuals as nutrient-deficient or sufficient. This determinism does not consider any uncertainty, and a probability approach, using biomarker distributions, is then preferable to define the risk of nutrition deficiency when in populations.MethodHealthy 1–19-year-old children and adolescents were selected from the Comprehensive National Nutrition Survey (CNNS), to obtain probability distributions of their retinol, zinc and vitamin B12, along with erythrocyte folate. Model-based estimates of location, scale and shape parameters of these distributions were obtained across ages. Subsequently, in the entire sample of 1–19 year old children of CNNS, the population risk of deficiency (PRD) which is average risk of deficiency in individuals in the population was computed, which is “of concern” when >50%. When individual risk of deficiency is >97.5% it is called “severe risk of deficiency” (SRD).ResultsIn the entire CNNS sample, the PRD of concern was low for serum retinol (3.6–8.2%), zinc (0–5.5%), and SRD of vitamin B12 and erythrocyte folate were 2.3–7.2% and 4.2–9.7%, respectively, across age and sex groups.ConclusionThis proposed method assesses the adequacy of nutrient exposures without relying on pre-defined deterministic biomarker cut-offs to define micronutrient deficiency and avoids errors in exposure assessment. |
| first_indexed | 2024-04-11T11:33:39Z |
| format | Article |
| id | doaj.art-886e8176fef7488e9946a3dd1521a7f3 |
| institution | Directory Open Access Journal |
| issn | 2296-861X |
| language | English |
| last_indexed | 2024-04-11T11:33:39Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Nutrition |
| spelling | doaj.art-886e8176fef7488e9946a3dd1521a7f32022-12-22T04:26:03ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2022-09-01910.3389/fnut.2022.991707991707A risk-based approach to measuring population micronutrient status from blood biomarker concentrationsSantu Ghosh0Anura V. Kurpad1Harshpal S. Sachdev2Tinku Thomas3Department of Biostatistics, St. John's Medical College, St. John's National Academy of Health Sciences, Bangalore, IndiaDepartment of Physiology, St. John's Medical College, St. John's National Academy of Health Sciences, Bangalore, IndiaDepartment of Pediatrics and Clinical Epidemiology, Sitaram Bhartia Institute of Science and Research, New Delhi, IndiaDepartment of Biostatistics, St. John's Medical College, St. John's National Academy of Health Sciences, Bangalore, IndiaBackgroundNutrient biomarkers and their definitive cut-offs are used to classify individuals as nutrient-deficient or sufficient. This determinism does not consider any uncertainty, and a probability approach, using biomarker distributions, is then preferable to define the risk of nutrition deficiency when in populations.MethodHealthy 1–19-year-old children and adolescents were selected from the Comprehensive National Nutrition Survey (CNNS), to obtain probability distributions of their retinol, zinc and vitamin B12, along with erythrocyte folate. Model-based estimates of location, scale and shape parameters of these distributions were obtained across ages. Subsequently, in the entire sample of 1–19 year old children of CNNS, the population risk of deficiency (PRD) which is average risk of deficiency in individuals in the population was computed, which is “of concern” when >50%. When individual risk of deficiency is >97.5% it is called “severe risk of deficiency” (SRD).ResultsIn the entire CNNS sample, the PRD of concern was low for serum retinol (3.6–8.2%), zinc (0–5.5%), and SRD of vitamin B12 and erythrocyte folate were 2.3–7.2% and 4.2–9.7%, respectively, across age and sex groups.ConclusionThis proposed method assesses the adequacy of nutrient exposures without relying on pre-defined deterministic biomarker cut-offs to define micronutrient deficiency and avoids errors in exposure assessment.https://www.frontiersin.org/articles/10.3389/fnut.2022.991707/fullnutrient biomarkersrisk of deficiencydeficiency cut-offpopulation prevalencechildren |
| spellingShingle | Santu Ghosh Anura V. Kurpad Harshpal S. Sachdev Tinku Thomas A risk-based approach to measuring population micronutrient status from blood biomarker concentrations Frontiers in Nutrition nutrient biomarkers risk of deficiency deficiency cut-off population prevalence children |
| title | A risk-based approach to measuring population micronutrient status from blood biomarker concentrations |
| title_full | A risk-based approach to measuring population micronutrient status from blood biomarker concentrations |
| title_fullStr | A risk-based approach to measuring population micronutrient status from blood biomarker concentrations |
| title_full_unstemmed | A risk-based approach to measuring population micronutrient status from blood biomarker concentrations |
| title_short | A risk-based approach to measuring population micronutrient status from blood biomarker concentrations |
| title_sort | risk based approach to measuring population micronutrient status from blood biomarker concentrations |
| topic | nutrient biomarkers risk of deficiency deficiency cut-off population prevalence children |
| url | https://www.frontiersin.org/articles/10.3389/fnut.2022.991707/full |
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