Cargando…

Use of dietary diversity score as a proxy indicator of nutrient adequacy of rural elderly people in Sri Lanka

BACKGROUND: Macro and micro nutrient deficiencies are public health concerns in most developing countries including Sri Lanka, partly due to monotonous, cereal-based diet that lacks diversity. The objective of the study was to assess validity of food variety score (FVS), dietary diversity score (DDS...

Descripción completa

Detalles Bibliográficos
Autores principales: Rathnayake, Kumari Malkanthi, Madushani, PAE, Silva, KDRR
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3470944/
https://www.ncbi.nlm.nih.gov/pubmed/22931957
http://dx.doi.org/10.1186/1756-0500-5-469
_version_ 1782246336563773440
author Rathnayake, Kumari Malkanthi
Madushani, PAE
Silva, KDRR
author_facet Rathnayake, Kumari Malkanthi
Madushani, PAE
Silva, KDRR
author_sort Rathnayake, Kumari Malkanthi
collection PubMed
description BACKGROUND: Macro and micro nutrient deficiencies are public health concerns in most developing countries including Sri Lanka, partly due to monotonous, cereal-based diet that lacks diversity. The objective of the study was to assess validity of food variety score (FVS), dietary diversity score (DDS) and dietary serving score (DSS) as indicators of nutrient adequacy of rural elderly people in Sri Lanka. FINDINGS: A sample of 200 apparently healthy elderly people >60y of age were studied. A single 24 h recall was performed to compute dietary diversity indicators. Pearson’s correlation was used to assess the utility of FVS, DDS and DSS as indicators of nutrient adequacy. Sensitivity (Se) and specificity (Spe) analysis were done to determine the most appropriate cut-off points for using FVS and DDS to categorize elderly people with adequate nutrient intake. The average (standard deviation) of the food variety score, dietary diversity score and dietary serving score was 8.4 (2), 4.4 (0.9) and 11.4 (2.5), respectively. Mean adequacy ratio (MAR) of 12 nutrients was 0.39 (39%). Pearson’s correlation coefficients between MAR and FVS was 0.45 (P < 0.01), for DDS it was 0.48 ( P < 0.01) and for DSS it was 0.58 ( P < 0.01). When maximizing sensitivity and specificity, the best cut-off point for achieving 50% of MAR was about 9 and 4.5 for FVS and DDS, respectively. CONCLUSION: In conclusion, FVS, DDS and DSS were useful proxy indicators of nutrient adequacy of rural elderly people in Sri Lanka. Indeed, the performance of the indicators is improved when considering the quantities of food consumed.
format Online
Article
Text
id pubmed-3470944
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-34709442012-10-18 Use of dietary diversity score as a proxy indicator of nutrient adequacy of rural elderly people in Sri Lanka Rathnayake, Kumari Malkanthi Madushani, PAE Silva, KDRR BMC Res Notes Short Report BACKGROUND: Macro and micro nutrient deficiencies are public health concerns in most developing countries including Sri Lanka, partly due to monotonous, cereal-based diet that lacks diversity. The objective of the study was to assess validity of food variety score (FVS), dietary diversity score (DDS) and dietary serving score (DSS) as indicators of nutrient adequacy of rural elderly people in Sri Lanka. FINDINGS: A sample of 200 apparently healthy elderly people >60y of age were studied. A single 24 h recall was performed to compute dietary diversity indicators. Pearson’s correlation was used to assess the utility of FVS, DDS and DSS as indicators of nutrient adequacy. Sensitivity (Se) and specificity (Spe) analysis were done to determine the most appropriate cut-off points for using FVS and DDS to categorize elderly people with adequate nutrient intake. The average (standard deviation) of the food variety score, dietary diversity score and dietary serving score was 8.4 (2), 4.4 (0.9) and 11.4 (2.5), respectively. Mean adequacy ratio (MAR) of 12 nutrients was 0.39 (39%). Pearson’s correlation coefficients between MAR and FVS was 0.45 (P < 0.01), for DDS it was 0.48 ( P < 0.01) and for DSS it was 0.58 ( P < 0.01). When maximizing sensitivity and specificity, the best cut-off point for achieving 50% of MAR was about 9 and 4.5 for FVS and DDS, respectively. CONCLUSION: In conclusion, FVS, DDS and DSS were useful proxy indicators of nutrient adequacy of rural elderly people in Sri Lanka. Indeed, the performance of the indicators is improved when considering the quantities of food consumed. BioMed Central 2012-08-29 /pmc/articles/PMC3470944/ /pubmed/22931957 http://dx.doi.org/10.1186/1756-0500-5-469 Text en Copyright ©2012 Rathnayake et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Report
Rathnayake, Kumari Malkanthi
Madushani, PAE
Silva, KDRR
Use of dietary diversity score as a proxy indicator of nutrient adequacy of rural elderly people in Sri Lanka
title Use of dietary diversity score as a proxy indicator of nutrient adequacy of rural elderly people in Sri Lanka
title_full Use of dietary diversity score as a proxy indicator of nutrient adequacy of rural elderly people in Sri Lanka
title_fullStr Use of dietary diversity score as a proxy indicator of nutrient adequacy of rural elderly people in Sri Lanka
title_full_unstemmed Use of dietary diversity score as a proxy indicator of nutrient adequacy of rural elderly people in Sri Lanka
title_short Use of dietary diversity score as a proxy indicator of nutrient adequacy of rural elderly people in Sri Lanka
title_sort use of dietary diversity score as a proxy indicator of nutrient adequacy of rural elderly people in sri lanka
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3470944/
https://www.ncbi.nlm.nih.gov/pubmed/22931957
http://dx.doi.org/10.1186/1756-0500-5-469
work_keys_str_mv AT rathnayakekumarimalkanthi useofdietarydiversityscoreasaproxyindicatorofnutrientadequacyofruralelderlypeopleinsrilanka
AT madushanipae useofdietarydiversityscoreasaproxyindicatorofnutrientadequacyofruralelderlypeopleinsrilanka
AT silvakdrr useofdietarydiversityscoreasaproxyindicatorofnutrientadequacyofruralelderlypeopleinsrilanka