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Cited by 21Nutrition and Health StudiesNutrition, Health and Food BehaviorNutritional Studies and Diet

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Dietary Intake of Masters Athletes: A Systematic Review

Open access
Guo, Sheran, Shaoni, Gabriella L. L., Stuart-Smith, Wendy A., Davies, Alyse J., Gifford, Janelle A.·2023·Nutrients

Abstract

Dietary practices of masters athletes (MAs) may promote healthy ageing; however, they are poorly understood. The aims of this systematic review were to synthesise the literature on the dietary intakes of MAs and undertake comparisons between younger (35–50 years) and older (>50 years) MAs and the general population. A search was conducted across seven databases to identify relevant publications for screening and data extraction. Averages for energy intake (EI), macronutrients, and micronutrients were compared with data from the 2011–2012 Australian Health Survey (general population). Twenty-six studies (n = 2819) were included. Energy intake was higher for older (8908 kJ/d versus 7792 kJ/d) but not younger MAs (9073 kJ/d versus 8872 kJ/d) versus the general population. Younger versus older male MAs had higher energy and macronutrient intakes. Energy intake for older was comparable to younger female MAs (7819 kJ/d versus 7485 kJ/d), but older had higher protein, lower carbohydrate, and higher micronutrient intakes. Micronutrient intake was higher in MAs than the general population. Similar EIs for older MAs and younger general population may indicate potential for a higher-quality diet. Younger female MAs may restrict or misreport EI, requiring further investigation. There is a need for more comprehensive assessments of dietary intake in MAs to ascertain diet quality in relation to health.

Overview

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TL;DR

This systematic review synthesizes dietary intake data from 26 studies of masters athletes (n = 2819), showing generally higher energy, macronutrient, and micronutrient intakes than the general Australian population, with some exceptions and possible underreporting. Younger female masters athletes may restrict or misreport energy intake, and more comprehensive diet-quality assessments are needed.

Key findings

  • Older masters athletes had higher energy intake than the general population (8908 kJ/d versus 7792 kJ/d), while younger masters athletes did not (9073 kJ/d versus 8872 kJ/d).
  • Younger male masters athletes had higher energy and macronutrient intakes than older male masters athletes; older female masters athletes had energy intake comparable to younger female masters athletes (7819 kJ/d versus 7485 kJ/d) but higher protein, lower carbohydrate, and higher micronutrient intakes.
  • Micronutrient intake was higher in masters athletes than the general population; the largest micronutrient percentage difference reported was 125% between older female masters athletes’ iron intakes and their general population counterparts.
  • Protein intakes relative to body weight ranged from 1.0 to 2.0 g/kg/day across 12 of 26 studies, but many masters athletes fell short of carbohydrate recommendations for endurance activity, with the highest relative intake reported as 5.4 g/kg BW/day for younger male triathlete masters athletes.

Methods

  • Systematic review following PRISMA, registered on Open Science Framework, with searches in seven databases (Medline, Embase, CINAHL, Web of Science, SPORTDiscus, Scopus, AUSPORT) in August 2021 and updated in June 2022; 26 studies with 2819 participants met inclusion criteria.
  • Included studies were mostly cross-sectional (17), plus three RCTs, two longitudinal, two case studies, one validation study, and one before-and-after study; dietary assessment methods included food records (n = 16), food frequency questionnaires (n = 8), dietary behaviour questionnaires, and diet history.
  • Data were tabulated by age group (younger 35–50 years; older >50 years) and gender, and averages were compared with the 2011–2012 Australian Health Survey using percentage difference, with an arbitrary 10% difference cut-off for discussion.

Limitations

  • The paper states that differences between masters athletes and Australian Health Survey data may have been influenced by different dietary assessment methods: most masters athlete studies used food records or food frequency questionnaires, while the Australian Health Survey used interviewer-administered 24 h recalls.
  • The paper states there was inconsistency in reported data, including variation in units of measurement; male- or female-only results excluded mixed-cohort studies where gender could not be separated, reducing the pool size.
  • The paper states that endurance sports were disproportionately represented, competitive versus noncompetitive masters athletes could not be compared, and only eight of 26 studies included the five key micronutrients selected for comparison, so micronutrient findings are unlikely to be representative of all masters athletes or usual dietary intakes.

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Integrity signals

Registry

Crossref · 10.3390/nu15234973

Cites

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Statistics

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Figures

Figure 1 PRISMA flow diagram of record identification and study selection for a systematic review of the dietary intake of masters athletes.
Figure 1 PRISMA flow diagram of record identification and study selection for a systematic review of the dietary intake of masters athletes.CC BY · PubMed Central
Figure 2 Energy intake of masters athletes compared to 2011–2012 Australian Health Survey data for all people, males, and females, comparing younger masters athletes, older masters athletes, younger people in the Australian Health Survey, and older people in the Australian Health Survey.
Figure 2 Energy intake of masters athletes compared to 2011–2012 Australian Health Survey data for all people, males, and females, comparing younger masters athletes, older masters athletes, younger people in the Australian Health Survey, and older people in the Australian Health Survey.CC BY · PubMed Central
Figure 3 Macronutrient intake of masters athletes. Data presented as combined (males and females), males, and females from left to right (darkest to lightest) for each macronutrient.
Figure 3 Macronutrient intake of masters athletes. Data presented as combined (males and females), males, and females from left to right (darkest to lightest) for each macronutrient.CC BY · PubMed Central

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  1. Sullo, 2004, Morphofunctional modification induced by a training protocol in the elderly, Acta Med., 47, 25

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Metadata

Authors
Guo, S., Shaoni, G. L. L., Stuart-Smith, W. A., Davies, A. J., & Gifford, J. A.
Affiliations
  • The University of Sydney (AU)
  • Discipline of Nutrition and Dietetics, School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
Corresponding author
Gifford, Janelle A.
Venue
Nutrients
Publisher
MDPI AG
Published
2023-11-30
Volume
15
Issue
23
Pages
4973
ISSN
2072-6643 (ISSN-L)
OpenAlex
W4389206102
Cited by
21
References
60
Citations by year
2026: 5 · 2025: 11 · 2024: 5
FWCI
0.79
Type
journal article
Language
en
Open access
Locations
  • Nutrients (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • University of Sydney
  • Faculty of Medicine and Health, University of Sydney
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutrition and Health Studies
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
Keywords
masters athletes, dietary intake, energy intake, macronutrients, micronutrients, healthy aging, older adults, diet quality, sex differences, protein intake, carbohydrate intake
MeSH terms
Australia, Energy Intake, Diet, Dietary Carbohydrates, Dietary Proteins, Eating, Female, Humans, Male, Micronutrients, Athletes

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