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Domper J, Gayoso L, Goni L, de la O V, Etxeberria U, Ruiz-Canela M. Culinary medicine and healthy ageing: a comprehensive review. Nutr Res Rev 2024; 37:179-193. [PMID: 37605999 DOI: 10.1017/s0954422423000148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
Culinary medicine (CM) represents a novel strategy to promote healthy ageing, as it improves adherence to healthy dietary patterns by providing nutritional education and training in cooking skills. We conducted a comprehensive review of the current scientific literature (2011-2022) concerning CM programmes implemented among participants over the age of 40. This review includes fourteen culinary-nutritional interventions. Each CM programme was analysed according to seven variables: health goal, study design, theoretical basis of the intervention, intervention duration, main outcomes, culinary intervention and the effectiveness of intervention. Although CM programmes showed low effectiveness in achieving positive results on psychosocial outcomes, they were successful in improving dietary intake and health-related outcomes. The interventions lasting for at least 5 months and employing study designs with two or more groups seemed to be important factors associated with achieving significant results. Significant results were observed regardless of the prevention phase defined as the health objective of the CM programme. The use of theoretical frameworks as an educational resource did not influence the effectiveness of the interventions. Other variables such as the inclusion of culinary outcomes, the optimisation of the culinary curriculum taught to the participants and the participation of a chef in the intervention are factors that should be taken into account. In addition, several educational components (cooking classes, hands-on cooking, free food delivery, individualized counselling) were promising for achieving health outcomes in ageing people. Our review has shown that CM programmes can be a powerful tool to improve the health status of ageing people.
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Affiliation(s)
- Jara Domper
- Basque Culinary Center, Faculty of Gastronomic Sciences, Mondragon UnibertsitateaDonostia-San Sebastián, Spain
- BCC Innovation, Technology Center in Gastronomy, Basque Culinary Center, Donostia-San Sebastián, Spain
| | - Lucía Gayoso
- Basque Culinary Center, Faculty of Gastronomic Sciences, Mondragon UnibertsitateaDonostia-San Sebastián, Spain
- BCC Innovation, Technology Center in Gastronomy, Basque Culinary Center, Donostia-San Sebastián, Spain
| | - Leticia Goni
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio Centro de Investigaciones Biomédicas en Red (CIBERObn), Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Victor de la O
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Usune Etxeberria
- Basque Culinary Center, Faculty of Gastronomic Sciences, Mondragon UnibertsitateaDonostia-San Sebastián, Spain
- BCC Innovation, Technology Center in Gastronomy, Basque Culinary Center, Donostia-San Sebastián, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio Centro de Investigaciones Biomédicas en Red (CIBERObn), Institute of Health Carlos III (ISCIII), Madrid, Spain
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Dent E, Hanlon P, Sim M, Jylhävä J, Liu Z, Vetrano DL, Stolz E, Pérez-Zepeda MU, Crabtree DR, Nicholson C, Job J, Ambagtsheer RC, Ward PR, Shi SM, Huynh Q, Hoogendijk EO. Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology. Ageing Res Rev 2023; 91:102082. [PMID: 37797723 DOI: 10.1016/j.arr.2023.102082] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/29/2023] [Accepted: 10/01/2023] [Indexed: 10/07/2023]
Abstract
Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.
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Affiliation(s)
- Elsa Dent
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Peter Hanlon
- School of Health and Wellbeing, University of Glasgow, Scotland, UK
| | - Marc Sim
- Nutrition and Health Innovation Research Institute, School of Health and Medical Sciences, Edith Cowan University, Perth, Western Australia, Australia; Medical School, The University of Western Australia, Perth, Western Australia, Australia
| | - Juulia Jylhävä
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Faculty of Social Sciences, Unit of Health Sciences and Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Zuyun Liu
- Second Affiliated Hospital and School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Davide L Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden; Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Erwin Stolz
- Institute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria
| | - Mario Ulises Pérez-Zepeda
- Instituto Nacional de Geriatría, Dirección de Investigación, ciudad de México, Mexico; Centro de Investigación en Ciencias de la Salud (CICSA), FCS, Universidad Anáhuac México Campus Norte, Huixquilucan Edo. de México
| | | | - Caroline Nicholson
- Centre for Health System Reform & Integration, Mater Research Institute-University of Queensland, Brisbane, Australia
| | - Jenny Job
- Centre for Health System Reform & Integration, Mater Research Institute-University of Queensland, Brisbane, Australia
| | - Rachel C Ambagtsheer
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Paul R Ward
- Research Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Adelaide, Australia
| | - Sandra M Shi
- Hinda and Arthur Marcus Institute for Aging, Hebrew Senior Life, Boston, Massachusetts, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Quan Huynh
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Emiel O Hoogendijk
- Department of Epidemiology & Data Science and Department of General Practice, Amsterdam UMC, Location VU University Medical Center, Amsterdam, Netherlands; Amsterdam Public Health research institute, Ageing & Later Life Research Program, Amsterdam UMC, Amsterdam, the Netherlands.
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Tay E, Barnett D, Rowland M, Kerse N, Edlin R, Waters DL, 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. [PMID: 37892491 PMCID: PMC10610025 DOI: 10.3390/nu15204416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/09/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
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 a 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 h multiple pass dietary recall. Diet quality was ascertained with the Diet Quality Index-International (DQI-I). We used regression generalized linear models to determine predictors of diet quality as well as classification and regression tree (CART) analysis to examine the complex relationships between 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, a 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 that 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 interaction of these variables was considered. Future research is needed to determine the similarities and/or differences in the profile of subgroups of older adults with poorer diet quality.
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Affiliation(s)
- Esther Tay
- Department of General Practice and Primary Health Care, School of Population Health, University of Auckland, Auckland 1023, New Zealand; (E.T.); (N.K.); (E.T.)
| | - Daniel Barnett
- Department of Statistics, Faculty of Science, University of Auckland, Auckland 1010, New Zealand; (D.B.); (A.P.)
| | - Maisie Rowland
- Human Nutrition Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE2 4HH, UK;
| | - Ngaire Kerse
- Department of General Practice and Primary Health Care, School of Population Health, University of Auckland, Auckland 1023, New Zealand; (E.T.); (N.K.); (E.T.)
| | - Richard Edlin
- Health Systems Group, School of Population Health, University of Auckland, Auckland 1023, New Zealand;
| | - Debra L. Waters
- Department of Medicine, University of Otago, Dunedin 9016, New Zealand;
- Centre for Health, Activity and Rehabilitation Research, School of Physiotherapy, University of Otago, Dunedin 9016, New Zealand
- Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87106, USA
| | - Martin Connolly
- Department of Geriatric Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand;
| | - Avinesh Pillai
- Department of Statistics, Faculty of Science, University of Auckland, Auckland 1010, New Zealand; (D.B.); (A.P.)
| | - Evelingi Tupou
- Department of General Practice and Primary Health Care, School of Population Health, University of Auckland, Auckland 1023, New Zealand; (E.T.); (N.K.); (E.T.)
| | - Ruth Teh
- Department of General Practice and Primary Health Care, School of Population Health, University of Auckland, Auckland 1023, New Zealand; (E.T.); (N.K.); (E.T.)
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Matos R, Moreira C, Alves E, Teixeira JE, Rodrigues F, Monteiro D, Antunes R, Forte P. Tactical Knowledge by Decision Making and Motor Efficiency of Young Football Players in Different Playing Positions during a Three-a-Side Small-Sided Game. Behav Sci (Basel) 2023; 13:bs13040310. [PMID: 37102824 PMCID: PMC10135667 DOI: 10.3390/bs13040310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/20/2023] [Accepted: 03/30/2023] [Indexed: 04/28/2023] Open
Abstract
The aim of this study was to compare the tactical knowledge of young football players in different playing positions during a three-a-side small-sided game (SSG). Observational data was collected from 71 players (M = 12.16; SD = 1.55 years): 11 goalkeepers, 22 defenders, 15 midfielders, and 23 forwards. In total, 4 min of three-a-side SSGs (GR + 3 vs. 3 + GR) were recorded to assess tactical performance using a digital camera (GoPro Hero 6® version 02.01). The SSGs were performed on a field with a constant area (36 × 27 m). Video analyses were performed using LongoMatch® version 1.5.9 to record football performance; we then assessed tactical performance by using the Football Tactical Assessment System (Fut-Sat). This instrument evaluates the average of well-defined action indexes for each game in decision making principle and motor skills, specifically: (i) Decision Making Index (DMI); (ii) Motor Effectiveness Index (MEI); (iii) Effectiveness Index (I). The indexes were calculated by the ratio between the correct actions and the total. The Kruskal-Wallis test was used to evaluate differences between playing positions. The results showed that tactical performance by principles seems to be significantly different according to playing position. Differences were found between defenders and forwards (H = -11.92; p = 0.03) and defenders and midfielders (H = -16.13; p = 0.01) in contention principle. In conclusion, tactical knowledge of training based on the principles of the game can help coaches and players better understand and predict each player's actions during the game.
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Affiliation(s)
- Rui Matos
- Department of Sport, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal
| | - Carlos Moreira
- Department of Sport, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal
- Department of Sports Sciences, University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
| | - Emília Alves
- Department of Sport, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal
- CI-ISCE, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal
- Research Centre in Physical Activity, Health, and Leisure, CIAFEL, 4200-450 Porto, Portugal
| | - José Eduardo Teixeira
- Department of Sport Science, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal
- Department of Sport Sciences, Polytechnic Institute of Guarda, 6300-559 Guarda, Portugal
- Research Center in Sports, Health, and Human Development, 6201-001 Covilhã, Portugal
| | - Filipe Rodrigues
- ESECS- Polytechnic of Leiria, 2411-901 Leiria, Portugal
- Life Quality Research Center, 2040-413 Leiria, Portugal
| | - Diogo Monteiro
- Research Center in Sports, Health, and Human Development, 6201-001 Covilhã, Portugal
- ESECS- Polytechnic of Leiria, 2411-901 Leiria, Portugal
| | - Raul Antunes
- ESECS- Polytechnic of Leiria, 2411-901 Leiria, Portugal
- Life Quality Research Center, 2040-413 Leiria, Portugal
| | - Pedro Forte
- Department of Sport, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal
- CI-ISCE, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal
- Department of Sport Science, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal
- Research Center in Sports, Health, and Human Development, 6201-001 Covilhã, Portugal
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Teh R, Barnett D, Edlin R, Kerse N, Waters DL, Hale L, Tay E, Leilua E, Pillai A. Effectiveness of a complex intervention of group-based nutrition and physical activity to prevent frailty in pre-frail older adults (SUPER): a randomised controlled trial. THE LANCET. HEALTHY LONGEVITY 2022; 3:e519-e530. [PMID: 36102762 DOI: 10.1016/s2666-7568(22)00124-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/11/2022] [Accepted: 05/16/2022] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND The increasing prevalence of frailty with age is becoming a public health priority in countries with ageing populations. Pre-frailty presents a window of opportunity to prevent the development of frailty in community-dwelling older adults. This study aimed to examine the effectiveness of a complex intervention that combined a nutrition-based intervention and a physical activity intervention, along with the effectiveness of each intervention individually, to reduce physical frailty in pre-frail older adults over 2 years. METHODS In this single-blind, 2 x 2 factorial, randomised, controlled trial, we recruited pre-frail community-dwelling older adults in Aotearoa New Zealand via mail through general medical practices. To be eligible, participants had to be pre-frail according to self-reported FRAIL scores of 1 or 2, aged 75 years or older (or 60 years or older for Māori and Pacific Peoples), not terminally ill or with advanced dementia as judged by a general practitioner, able to stand, medically safe to participate in low-intensity exercise, and able to use kitchen utensils safely. Participants were randomly allocated to receive an 8-week Senior Chef programme (SC group), a 10-week Steady As You Go programme (SAYGO group), a 10-week combined SC and SAYGO intervention (combined group), or a 10-week social programme (control group), using computer-generated block randomisation administered through an electronic data capture system by local study coordinators. Assessors were masked to group allocation for all assessments. SC is a group-based nutrition education and cooking class programme (3 h weekly), SAYGO is a group-based strength and balance exercise programme (1 h weekly), and the social control programme was a seated, group socialising activity (once a week). Masked assessors ascertained Fried frailty scores at baseline, end of intervention, and at 6, 12, and 24 months after the programme. The primary outcome was change in Fried frailty score at 2 years. Intention-to-treat analyses were completed for all randomised participants, and all participants who had a high (≥75%) adherence were analysed per protocol. This study is registered at ANZCTR, ACTRN12614000827639. FINDINGS Between May 12, 2016 and April 9, 2018, we assessed 2678 older adults for eligibility, of whom 468 (17%) consented and completed baseline assessment, with a mean age of 80·3 years (SD 5·1) and a mean Fried score of 1·9 (1·2); 59% were women. We randomly allocated these participants into the four groups: 117 in the SC group, 118 in the SAYGO group, 118 in the combined group, and 115 in the control group; 318 participants attended the 24-month follow-up: 89 in the SC group, 78 in the SAYGO group, 73 in the combined group, and 78 in the control group. At the 24-month follow-up, there were no differences in mean Fried scores between the intervention groups and the control group. No adverse events were reported. INTERPRETATION The study did not find that the combined SC and SAYGO programme was effective in reducing frailty in pre-frail older adults. Although some short-term benefits were observed in each individual programme, there was no clear evidence of long-term impact. Further research is needed to evaluate combinations of group-based programmes for community-dwelling older adults to optimise their physical function. FUNDING Health Research Council New Zealand and Ageing Well Challenge (Ministry of Business Innovation and Employment).
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Affiliation(s)
- Ruth Teh
- Department of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand.
| | - Daniel Barnett
- Department of Statistics, University of Auckland, Auckland, New Zealand
| | - Richard Edlin
- Department of Health Systems, University of Auckland, Auckland, New Zealand
| | - Ngaire Kerse
- Department of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand
| | - Debra L Waters
- Department of Medicine, University of Otago, Otago, New Zealand; School of Physiotherapy, University of Otago, Otago, New Zealand
| | - Leigh Hale
- School of Physiotherapy, University of Otago, Otago, New Zealand
| | - Esther Tay
- Department of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand
| | - Evelingi Leilua
- Department of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand
| | - Avinesh Pillai
- Department of Statistics, University of Auckland, Auckland, New Zealand
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Lord S, Teh R, Gibson R, Smith M, Wrapson W, Thomson M, Rolleston A, Neville S, McBain L, Del Din S, Taylor L, Kayes N, Kingston A, Abey-Nesbit R, Kerse N. Optimising function and well-being in older adults: protocol for an integrated research programme in Aotearoa/New Zealand. BMC Geriatr 2022; 22:215. [PMID: 35296250 PMCID: PMC8925165 DOI: 10.1186/s12877-022-02845-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 02/15/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Maintaining independence is of key importance to older people. Ways to enable health strategies, strengthen and support whanāu (family) at the community level are needed. The Ageing Well through Eating, Sleeping, Socialising and Mobility (AWESSOM) programme in Aotearoa/New Zealand (NZ) delivers five integrated studies across different ethnicities and ages to optimise well-being and to reverse the trajectory of functional decline and dependence associated with ageing. METHODS Well-being, independence and the trajectory of dependence are constructs viewed differently according to ethnicity, age, and socio-cultural circumstance. For each AWESSoM study these constructs are defined and guide study development through collaboration with a wide range of stakeholders, and with reference to current evidence. The Compression of Functional Decline model (CFD) underpins aspects of the programme. Interventions vary to optimise engagement and include a co-developed whānau (family) centred initiative (Ngā Pou o Rongo), the use of a novel LifeCurve™App to support behavioural change, development of health and social initiatives to support Pacific elders, and the use of a comprehensive oral health and cognitive stimulation programme for cohorts in aged residential care. Running parallel to these interventions is analysis of large data sets from primary care providers and national health databases to understand complex multi-morbidities and identify those at risk of adverse outcomes. Themes or target areas of sleep, physical activity, oral health, and social connectedness complement social capital and community integration in a balanced programme involving older people across the ability spectrum. DISCUSSION AWESSoM delivers a programme of bespoke yet integrated studies. Outcomes and process analysis from this research will inform about novel approaches to implement relevant, socio-cultural interventions to optimise well-being and health, and to reverse the trajectory of decline experienced with age. TRIAL REGISTRATION The At-risk cohort study was registered by the Australian New Zealand Clinical Trials registry on 08/12/2021 (Registration number ACTRN 12621001679875 ).
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Affiliation(s)
- Sue Lord
- School of Clinical Sciences, Faculty of Health & Environmental Sciences, Auckland University of Technology, Akoranga Drive, Northcote, Auckland, 0627, New Zealand.
| | - Ruth Teh
- School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Rosie Gibson
- School of Health Sciences, Massey University, Wellington, New Zealand
| | - Moira Smith
- Department of Public Health, University of Otago, Wellington, New Zealand
| | - Wendy Wrapson
- AUT Public Health and Mental Health Research Institute, Auckland University of Technology, Auckland, New Zealand
| | - Murray Thomson
- Department of Oral Sciences, University of Otago, Dunedin, New Zealand
| | | | - Stephen Neville
- School of Clinical Sciences, Faculty of Health & Environmental Sciences, Auckland University of Technology, Akoranga Drive, Northcote, Auckland, 0627, New Zealand
| | | | - Silvia Del Din
- Clinical Ageing Research Unit, Newcastle University, Newcastle Upon Tyne, UK
| | - Lynne Taylor
- School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Nicola Kayes
- School of Clinical Sciences, Faculty of Health & Environmental Sciences, Auckland University of Technology, Akoranga Drive, Northcote, Auckland, 0627, New Zealand
| | - Andrew Kingston
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK
| | - Rebecca Abey-Nesbit
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.,Department of Medicine, Canterbury District Health Board, Christchurch, New Zealand
| | - Ngaire Kerse
- School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
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The Diet Quality and Nutrition Inadequacy of Pre-Frail Older Adults in New Zealand. Nutrients 2021; 13:nu13072384. [PMID: 34371894 PMCID: PMC8308886 DOI: 10.3390/nu13072384] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 07/08/2021] [Accepted: 07/09/2021] [Indexed: 12/23/2022] Open
Abstract
This study aimed to describe the diet quality of pre-frail community-dwelling older adults to extend the evidence of nutrition in frailty prevention. Pre-frailty, the transition state between a robust state and frailty, was ascertained using the FRAIL scale. Socio-demographic, health status, and 24-h dietary recalls were collected from 465 community-dwelling adults aged 75+ (60 years for Māori and Pacific people) across New Zealand. Diet quality was ascertained with the Diet Quality Index-International (DQI-I). Participants (median (IQR) age 80 (77-84), 59% female) had a moderately healthful diet, DQI-I score: 60.3 (54.0-64.7). Women scored slightly higher than men (p = 0.042). DQI-I components identified better dietary variety in men (p = 0.044), and dietary moderation in women (p = 0.002); both sexes performed equally well in dietary adequacy and poorly in dietary balance scores (73% and 47% of maximum scores, respectively). Low energy 20.3 (15.4-25.3) kcal/kg body weight (BW) and protein intakes 0.8 (0.6-1.0) g/kg BW were coupled with a high prevalence of mineral inadequacies: calcium (86%), magnesium (68%), selenium (79%), and zinc (men 82%). In conclusion, the diet quality of pre-frail older adults was moderately high in variety and adequacy but poor in moderation and balance. Our findings support targeted dietary interventions to ameliorate frailty.
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Witham MD, Wason J, Dodds R, Sayer AA. Developing a composite outcome measure for frailty prevention trials - rationale, derivation and sample size comparison with other candidate measures. BMC Geriatr 2020; 20:113. [PMID: 32213165 PMCID: PMC7098153 DOI: 10.1186/s12877-020-1463-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 02/06/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Frailty is the loss of ability to withstand a physiological stressor and is associated with multiple adverse outcomes in older people. Trials to prevent or ameliorate frailty are in their infancy. A range of different outcome measures have been proposed, but current measures require either large sample sizes, long follow-up, or do not directly measure the construct of frailty. METHODS We propose a composite outcome for frailty prevention trials, comprising progression to the frail state, death, or being too unwell to continue in a trial. To determine likely event rates, we used data from the English Longitudinal Study for Ageing, collected 4 years apart. We calculated transition rates between non-frail, prefrail, frail or loss to follow up due to death or illness. We used Markov state transition models to interpolate one- and two-year transition rates and performed sample size calculations for a range of differences in transition rates using simple and composite outcomes. RESULTS The frailty category was calculable for 4650 individuals at baseline (2226 non-frail, 1907 prefrail, 517 frail); at follow up, 1282 were non-frail, 1108 were prefrail, 318 were frail and 1936 had dropped out or were unable to complete all tests for frailty. Transition probabilities for those prefrail at baseline, measured at wave 4 were respectively 0.176, 0.286, 0.096 and 0.442 to non-frail, prefrail, frail and dead/dropped out. Interpolated transition probabilities were 0.159, 0.494, 0.113 and 0.234 at two years, and 0.108, 0.688, 0.087 and 0.117 at one year. Required sample sizes for a two-year outcome in a two-arm trial were between 1040 and 7242 for transition from prefrailty to frailty alone, 246 to 1630 for transition to the composite measure, and 76 to 354 using the composite measure with an ordinal logistic regression approach. CONCLUSION Use of a composite outcome for frailty trials offers reduced sample sizes and could ameliorate the effect of high loss to follow up inherent in such trials due to death and illness.
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Affiliation(s)
- Miles D. Witham
- AGE Research Group, NIHR Newcastle Biomedical Research Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University and Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle-upon-Tyne, NE4 5PL UK
| | - James Wason
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle-upon-Tyne, UK
| | - Richard Dodds
- AGE Research Group, NIHR Newcastle Biomedical Research Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University and Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle-upon-Tyne, NE4 5PL UK
| | - Avan A. Sayer
- AGE Research Group, NIHR Newcastle Biomedical Research Centre, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University and Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle-upon-Tyne, NE4 5PL UK
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