Tay, E.; Barnett, D.; Rowland, M.; Kerse, N.; Edlin, R.; Waters, D.L.; Connolly, M.; Pillai, A.; Tupou, E.; Teh, R. Sociodemographic and Health Indicators of Diet Quality in Pre-Frail Older Adults in New Zealand. Nutrients2023, 15, 4416.
Tay, E.; Barnett, D.; Rowland, M.; Kerse, N.; Edlin, R.; Waters, D.L.; Connolly, M.; Pillai, A.; Tupou, E.; Teh, R. Sociodemographic and Health Indicators of Diet Quality in Pre-Frail Older Adults in New Zealand. Nutrients 2023, 15, 4416.
Tay, E.; Barnett, D.; Rowland, M.; Kerse, N.; Edlin, R.; Waters, D.L.; Connolly, M.; Pillai, A.; Tupou, E.; Teh, R. Sociodemographic and Health Indicators of Diet Quality in Pre-Frail Older Adults in New Zealand. Nutrients2023, 15, 4416.
Tay, E.; Barnett, D.; Rowland, M.; Kerse, N.; Edlin, R.; Waters, D.L.; Connolly, M.; Pillai, A.; Tupou, E.; Teh, R. Sociodemographic and Health Indicators of Diet Quality in Pre-Frail Older Adults in New Zealand. Nutrients 2023, 15, 4416.
Abstract
This study aimed to identify sociodemographic and health indicators of diet quality in pre-frail community-dwelling older adults. Pre-frail older adults are those at risk of progression to clinical manifestations of frailty and are targets for preventative intervention. We previously reported that pre-frail older adults have reasonably good overall diet quality. However, further analyses found low intake of energy, protein and several micronutrients. Methods: We collected detailed dietary intake from pre-frail (FRAIL scale 1-2) older adults using NZ Intake24, an online version of 24-hour multiple pass dietary recall. Diet quality was ascertained with the Diet Quality Index-International (DQI-I). We used regression Generalised Linear Models to determine predictors of diet quality and Classification and Regression Tree (CART) analysis to examine the complex relationships of predictors and identified profiles of sub-groups of older adults that predict diet quality. Results. The median age in this sample (n=468) was 80.0 years (77.0-84.0). Living with others, high deprivation index and a higher BMI were independent predictors of poorer diet quality. With CART analysis, we found that those with a BMI >29 kg/m2, living with others and younger than 80 years were likely to have a lower diet quality. Conclusions: We found BMI, living arrangement and socioeconomic status were independent predictors of diet quality in pre-frail older adults, with BMI being the most important variable in this sample when the interacting relationships of these variables were considered. Future research is needed to determine the similarities and/or differences in the profile of subgroups of older adults with poorer diet quality.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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