Literature DB >> 12631405

Dietary intake of older adults in the Kingston area.

Judith Dewolfe1, Kristine Millan.   

Abstract

The objectives of this research were to describe the dietary intake and identify risk factors for poor dietary intake in community-dwelling older adults living in the Kingston, Frontenac, and Lennox & Addington Health Unit area. Dietary intake information was collected from a convenience sample of 105 relatively healthy, active older adults (84 women, 21 men) using 24-hour recalls from three non-consecutive days. Risk factors for poor dietary intake were identified through a structured interview. Multiple linear regression was used to generate a model to predict dietary intake, which was measured using a diet score based on Canada's Food Guide to Healthy Eating. Group averages reflected reasonable diet quality, but some subjects had very low nutrient intakes, particularly of zinc and vitamins B6, B12, and C. On average, women had a lower-than-recommended intake from all food groups, while men consumed adequate amounts of all food groups except milk products. Higher scores indicated better overall diet quality, and the following were significant predictors of a high diet score: "almost always" preparing one's own meals, food "almost always" or "sometimes/never" tasting good, eating lunch every day, and taking fewer prescription medications. This model requires validation with a larger and more diverse population of community-dwelling older adults.

Entities:  

Mesh:

Year:  2003        PMID: 12631405     DOI: 10.3148/64.1.2003.16

Source DB:  PubMed          Journal:  Can J Diet Pract Res        ISSN: 1486-3847            Impact factor:   0.940


  2 in total

Review 1.  Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality.

Authors:  Rebecca M Leech; Anthony Worsley; Anna Timperio; Sarah A McNaughton
Journal:  Nutr Res Rev       Date:  2015-03-19       Impact factor: 7.800

2.  The traditional lunch pattern is inversely correlated with body mass index in a population-based study in Brazil.

Authors:  Roberta de Oliveira Santos; Diva Aliete Dos Santos Vieira; Andreia Alexandra Machado Miranda; Regina Mara Fisberg; Dirce Maria Marchioni; Valéria Troncoso Baltar
Journal:  BMC Public Health       Date:  2017-07-19       Impact factor: 3.295

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.