Fatty acid intakes and food sources in a population of older Australians
Abstract
OBJECTIVE: To document dietary intakes and food sources of fatty acids among older Australians.
DESIGN: Population-based survivor cohort.
SETTING: Two postcode areas in the Blue Mountains, West of Sydney, Australia.
SUBJECTS: In 1997-9, 2334 people aged 55 years and over, participated in a 5-year follow-up of the cohort attending the Blue Mountains Eye Study (BMES). Dietary data were collected using a semi-quantitative food frequency questionnaire by 2005 persons (86% of those examined). Types of fats were classified as saturated fatty acids (SFA), monounsaturated (MUFA), polyunsaturated (PUFA) and trans unsaturated fatty acids.
RESULTS: Mean total fat intake contributed 31.3% of daily energy intake (12.2% SFA, 11.2% MUFA, 5.0% PUFA). Mean omega 3 (n-3) PUFA intake comprised 0.5% of energy intake (long chain n-3 PUFA provided mean intake of 260mg, consisting of eicosapentaenoic (EPA), docosapentaenoic (DPA) and docosahexaenoic (DHA) fatty acids) and the n-6: n-3 PUFA ratio was 9:1. The main fatty acids contributing to the diet were palmitic acid, oleic acid and linoleic acid. Meat products were the highest contributors to total fat and MUFA intakes; milk products were the highest contributor to SFA intakes; and fat spreads and oils, and breads and cereals were the main food groups contributing to PUFA intakes. Fish was the main source of long chain n-3 fatty acids.
CONCLUSIONS: This population-based descriptive study documents fatty acid intakes in a population of older…
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 9 participants or records.
Read the paper
Related studies
- eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses
- Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer
- OptiType: precision HLA typing from next-generation sequencing data
- Nicotinic Cholinergic System and COVID-19: In Silico Identification of an Interaction between SARS-CoV-2 and Nicotinic Receptors with Potential Therapeutic Targeting Implications
- Saccharomyces cerevisiae cells have three Omega class glutathione S-transferases acting as 1-Cys thiol transferases
- Hemolysis at low blood flow rates: in-vitro and in-silico evaluation of a centrifugal blood pump
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.