Abstract
Objectives
Determine if nutrition risk, as measured by SCREEN-8 is predictive of 3-year strength and performance indicators among community-living older adults after adjusting for key demographic and health variables. Sex-stratified analyses were also determined.
Design
Cohort study with baseline and 3-year follow-up data from the Canadian Longitudinal Study on Aging (CLSA).
Participants
Participants 55 years and older at baseline were included (n = 22,502); those who reported nasogastric or abdominal tube feeding at either timepoint were excluded (n = 26). The final sample of participants available for analyses slightly varied depending on completion of the three outcome variables. List-wise deletion was used for nutrition risk and covariates to arrive at the sample available for analysis (n = 17,250).
Measurements
The valid and reliable SCREEN-8 tool was used to measure nutrition risk. The minimum and maximum score of SCREEN-8 is 0 and 48, respectively, with lower scores indicating greater nutrition risk. Baseline SCREEN-8 score was used in analyses. Grip strength, chair rise test time and gait speed assessed at the 3-year follow-up were the strength and performance outcomes. Criteria outlined by the European Working Group on Sarcopenia in Older People 2 were used to determine low performance for grip strength (<27 kg for males and <16 kg for females), chair rise test time (>15 seconds) and gait speed (≤0.8 m/s).
Results
Half of participants were female (49.4%) and mean age was 66.7 years (SD 7.9). Mean SCREEN-8 score was 39.2 (SD 6.0). Low grip strength, chair rise test performance and gait speed were found in 18.5%, 19.6% and 29.3% of participants, respectively. After adjusting for covariates (e.g., sex, age, education), SCREEN-8 score was significantly associated with grip strength (F = 11.21, p = .001; OR = 0.98, CI [0.97, 0.99]), chair rise time (F = 5.97, p = .015; OR = 0.99, CI [0.97, 0.997]), and gait speed (F = 9.99, p = .002; OR = 0.98, CI [0.97, 0.99]). Similar interpretation was seen in sex-stratified analyses, although chair rise time was not significant. Age, body mass index, Life Space Index Score and self-rated health were consistently associated with all outcome measures.
Conclusion
Nutrition risk, as measured by SCREEN-8, significantly predicted 3-year strength and performance measures. Greater nutrition risk is associated with an increased odds of low performance on grip strength, chair rise test, and gait speed. Future research should implement nutrition risk screening in primary care settings with subsequent assessment and treatment for at risk clients to determine if nutrition interventions implemented post screening can delay age-related losses in strength and performance.
Access this article
We’re sorry, something doesn't seem to be working properly.
Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.
Similar content being viewed by others
Data Availability Statement: Data are available from the Canadian Longitudinal Study on Aging (https://www.clsa-elcv.ca) for researchers who meet the criteria for access to de-identified CLSA data.
References
Dent E, Hoogendijk EO, Visvanathan R, Wright ORL. Malnutrition screening and assessment in hospitalised older people: A review. J Nutr Health Aging. 2019;23(5):431–441. doi:https://doi.org/10.1007/s12603-019-1176-z
Allard JP, Keller H, Jeejeebhoy KN, et al. Malnutrition at hospital admission-contributors and effect on length of stay: A prospective cohort study from the Canadian Malnutrition Task Force. J Parenter Enteral Nutr. 2016;40(4):487–497. doi:https://doi.org/10.1177/0148607114567902
de van der Schueren MAE, Jager-Wittenaar H. Malnutrition risk screening: New insights in a new era. Clin Nutr. 2022;41(10):2163–2168. doi:https://doi.org/10.1016/j.clnu.2022.08.007
Leij-Halfwerk S, Verwijs MH, van Houdt S, et al. Prevalence of protein-energy malnutrition risk in European older adults in community, residential and hospital settings, according to 22 malnutrition screening tools validated for use in adults ≥65 years: A systematic review and meta-analysis. Maturitas. 2019;126:80–89. doi:https://doi.org/10.1016/j.maturitas.2019.05.006
Van Wymelbeke-Delannoy V, Maître I, Salle A, Lesourd B, Bailly N, Sulmont-Rossé C. Prevalence of malnutrition risk among older French adults with culinary dependence. Age Ageing. 2022;51(1):afab208. doi:https://doi.org/10.1093/ageing/afab208
Cederholm T, Barazzoni R, Austin P, et al. ESPEN guidelines on definitions and terminology of clinical nutrition. Clin Nutr. 2017;36(1):49–64. doi:https://doi.org/10.1016/j.clnu.2016.09.004
Ramage-Morin PL, Gilmour H, Rotermann M. Nutritional risk, hospitalization and mortality among community-dwelling Canadians aged 65 or older. Health Rep. 2017;28(9):17–27.
Nawai A, Phongphanngam S, Khumrungsee M, Leveille SG. Factors associated with nutrition risk among community-dwelling older adults in Thailand. Geriatr Nurs. 2021;42(5):1048–1055. doi:https://doi.org/10.1016/j.gerinurie.2021.06.005
Martínez-Reig M, Aranda-Reneo I, Peña-Longobardo LM, et al. Use of health resources and healthcare costs associated with nutritional risk: The FRADEA study. Clin Nutr. 2018;37(4):1299–1305. doi:https://doi.org/10.1016/j.clnu.2017.05.021
Tan VMH, Pang BWJ, Lau LK, et al. Malnutrition and sarcopenia in community-dwelling adults in Singapore: Yishun Health Study. J Nutr Health Aging. 2021;25(3):374–381. doi:https://doi.org/10.1007/s12603-020-1542-x
Lorenzo-López L, Maseda A, de Labra C, Regueiro-Folgueira L, Rodríguez-Villamil JL, Millán-Calenti JC. Nutritional determinants of frailty in older adults: A systematic review. BMC Geriatr. 2017;17(1):108. doi:https://doi.org/10.1186/s12877-017-0496-2
Chang SF. Frailty is a major related factor for at risk of malnutrition in community-dwelling older adults. J Nurs Scholarsh. 2017;49(1):63–72. doi:https://doi.org/10.1111/jnu.12258
Wei K, Nyunt MSZ, Gao Q, Wee SL, Ng TP. Frailty and malnutrition: Related and distinct syndrome prevalence and association among community-dwelling older adults: Singapore Longitudinal Ageing Studies. J Am Med Dir Assoc. 2017;18(12):1019–1028. doi:https://doi.org/10.1016/j.jamda.2017.06.017
Chew STH, Tey SL, Yalawar M, et al. Prevalence and associated factors of sarcopenia in community-dwelling older adults at risk of malnutrition. BMC Geriatr. 2022;22(1):997. doi:https://doi.org/10.1186/s12877-022-03704-1
Mayhew AJ, Amog K, Phillips S, et al. The prevalence of sarcopenia in community-dwelling older adults, an exploration of differences between studies and within definitions: A systematic review and meta-analyses. Age Ageing. 2019;48(1):48–56. doi:https://doi.org/10.1093/ageing/afy106
Volkert D, Kiesswetter E, Cederholm T, et al. Development of a model on Determinants of Malnutrition in Aged Persons: A MaNuEL Project. Gerontol Geriatr Med. 2019;5:2333721419858438. doi:https://doi.org/10.1177/2333721419858438
Nasimi N, Dabbaghmanesh MH, Sohrabi Z. Nutritional status and body fat mass: Determinants of sarcopenia in community-dwelling older adults. Exp Gerontol. 2019;122:67–73. doi:https://doi.org/10.1016/j.exger.2019.04.009
Laur CV, McNicholl T, Valaitis R, Keller HH. Malnutrition or frailty? Overlap and evidence gaps in the diagnosis and treatment of frailty and malnutrition. Appl Physiol Nutr Metab. 2017;42(5):449–458. doi:https://doi.org/10.1139/apnm-2016-0652
Cruz-Jentoft AJ, Sayer AA. Sarcopenia [published correction appears in Lancet. 2019 Jun 29;393(10191):2590]. Lancet. 2019;393(10191):2636–2646. doi:https://doi.org/10.1016/S0140-6736(19)31138-9
Yamada M, Nishiguchi S, Fukutani N, et al. Prevalence of sarcopenia in community-dwelling Japanese older adults. J Am Med Dir Assoc. 2013;14(12):911–915. doi:https://doi.org/10.1016/j.jamda.2013.08.015
Tay L, Ding YY, Leung BP, et al. Sex-specific differences in risk factors for sarcopenia amongst community-dwelling older adults. Age (Dordr). 2015;37(6):121. doi:https://doi.org/10.1007/s11357-015-9860-3
Cruz-Jentoft AJ, Bahat G, Bauer J, et al. Sarcopenia: Revised European consensus on definition and diagnosis [published correction appears in Age Ageing. 2019 Jul 1;48(4):601]. Age Ageing. 2019;48(1):16–31. doi:https://doi.org/10.1093/ageing/afy169
Underland LJ, Schnatz PF, Wild RA, et al. The impact of weight change and measures of physical functioning on mortality. J Am Geriatr Soc. 2022;70(4):1228–1235. doi:https://doi.org/10.1111/jgs.17626
Keller HH, Goy R, Kane SL. Validity and reliability of SCREEN II (Seniors in the community: risk evaluation for eating and nutrition, Version II). Eur J Clin Nutr. 2005;59(10):1149–1157. doi:https://doi.org/10.1038/sj.ejcn.1602225
Raina PS, Wolfson C, Kirkland SA, et al. The Canadian Longitudinal Study on Aging (CLSA). Can J Aging. 2009;28(3):221–229. doi:https://doi.org/10.1017/S0714980809990055
Raina P, Wolfson C, Kirkland S, et al. Cohort Profile: The Canadian Longitudinal Study on Aging (CLSA) [published correction appears in Int J Epidemiol. 2019 Dec 1;48(6):2066]. Int J Epidemiol. 2019;48(6):1752–1753j. doi:https://doi.org/10.1093/ije/dyz173
Baker PS, Bodner EV, Allman RM. Measuring life-space mobility in community-dwelling older adults. J Am Geriatr Soc. 2003;51(11):1610–1614. doi:https://doi.org/10.1046/j.1532-5415.2003.51512.x
Cederholm T, Jensen GL, Correia MITD, et al. GLIM criteria for the diagnosis of malnutrition - A consensus report from the global clinical nutrition community. Clin Nutr. 2019;38(1):1–9. doi:https://doi.org/10.1016/j.clnu.2018.08.002
About adult BMI. Centers for Disease Control and Prevention Published June 2022. Accessed February 21, 2023. https://www.cdc.gov/healthyweight/assessing/bmi/adult_bmi/index.html
Kramer CS, Groenendijk I, Beers S, Wijnen HH, van de Rest O, de Groot LCPGM. The association between malnutrition and physical performance in older adults: A systematic review and meta-analysis of observational studies. Curr Dev Nutr. 2022;6(4):nzac007. doi:https://doi.org/10.1093/cdn/nzac007
Volpato S, Bianchi L, Cherubini A, et al. Prevalence and clinical correlates of sarcopenia in community-dwelling older people: Application of the EWGSOP definition and diagnostic algorithm. J Gerontol A Biol Sci Med Sci. 2014;69(4):438–446. doi:https://doi.org/10.1093/gerona/glt149
Gao Q, Hu K, Yan C, et al. Associated factors of sarcopenia in community-dwelling older adults: A systematic review and meta-analysis. Nutrients. 2021;13(12):4291. doi:https://doi.org/10.3390/NU13124291/S1
Lu Y, Karagounis LG, Ng TP, et al. Systemic and metabolic signature of sarcopenia in community-dwelling older adults. J Gerontol A Biol Sci Med Sci. 2020;75(2):309–317. doi:https://doi.org/10.1093/gerona/glz001
Verlaan S, Aspray TJ, Bauer JM, et al. Nutritional status, body composition, and quality of life in community-dwelling sarcopenic and non-sarcopenic older adults: A case-control study. Clin Nutr. 2017;36(1):267–274. doi:https://doi.org/10.1016/j.clnu.2015.11.013
Gao Q, Mei F, Shang Y, et al. Global prevalence of sarcopenic obesity in older adults: A systematic review and meta-analysis. Clin Nutr. 2021;40(7):4633–4641. doi:https://doi.org/10.1016/j.clnu.2021.06.009
Dwyer JT, Gahche JJ, Weiler M, Arensberg MB. Screening community-living older adults for protein energy malnutrition and frailty: Update and next steps. J Community Health. 2020;45(3):640–660. doi:https://doi.org/10.1007/s10900-019-00739-1
Liguori I, Curcio F, Russo G, et al. Risk of malnutrition evaluated by Mini Nutritional Assessment and sarcopenia in noninstitutionalized elderly people. Nutr Clin Pract. 2018;33(6):879–886. doi:https://doi.org/10.1002/ncp.10022
Scott D, Blizzard L, Fell J, Jones G. The epidemiology of sarcopenia in community living older adults: what role does lifestyle play? J Cachexia Sarcopenia Muscle. 2011;2(3):125–134. doi:https://doi.org/10.1007/s13539-011-0036-4
Pana A, Sourtzi P, Kalokairinou A, Velonaki VS. Sarcopenia and polypharmacy among older adults: A scoping review of the literature. Arch Gerontol Geriatr. 2022;98:104520. doi:https://doi.org/10.1016/j.archger.2021.104520
Griffith LE, Gruneir A, Fisher K, et al. Insights on multimorbidity and associated health service use and costs from three population-based studies of older adults in Ontario with diabetes, dementia and stroke. BMC Health Serv Res. 2019;19(1):313. doi:https://doi.org/10.1186/s12913-019-4149-3
Keller H, Donnelly R, Laur C, Goharian L, Nasser R. Consensus-based nutrition care pathways for hospital-to-community transitions and older adults in primary and community care. J Parenter Enteral Nutr. 2022;46(1):141–152. doi:https://doi.org/10.1002/jpen.2068
Bao W, Sun Y, Zhang T, et al. Exercise programs for muscle mass, muscle strength and physical performance in older adults with sarcopenia: A systematic review and meta-analysis. Aging Dis. 2020;11(4):863–873. doi:https://doi.org/10.14336/AD.2019.1012
Webber SC, Porter MM, Menec VH. Mobility in older adults: A comprehensive framework. Gerontologist. 2010;50(4):443–450. doi:https://doi.org/10.1093/geront/gnq013
Kuspinar A, Verschoor CP, Beauchamp MK, et al. Modifiable factors related to life-space mobility in community-dwelling older adults: Results from the Canadian Longitudinal Study on Aging. BMC Geriatr. 2020;20(1):1–12. doi: https://doi.org/10.1186/s12877-020-1431-5
Whitmore C, Markle-Reid M, McAiney C, et al. Self-reported health and the well-being paradox among community-dwelling older adults: a cross-sectional study using baseline data from the Canadian Longitudinal Study on Aging (CLSA). BMC Geriatr. 2022;22(1):112. doi:https://doi.org/10.1186/s12877-022-02807-z
Denison HJ, Cooper C, Sayer AA, Robinson SM. Prevention and optimal management of sarcopenia: a review of combined exercise and nutrition interventions to improve muscle outcomes in older people. Clin Interv Aging. 2015;10:859–869. doi:https://doi.org/10.2147/CIA.S55842
Mills CM, Trinca V. The evidence for screening older adults for nutrition risk in primary care: An umbrella review [published online ahead of print, 2023 Mar 15]. Can J Diet Pract Res. 2023;1-8. doi:https://doi.org/10.3148/cjdpr-2022-043
Power L, Mullally D, Gibney ER, et al. A review of the validity of malnutrition screening tools used in older adults in community and healthcare settings - A MaNuEL study. Clin Nutr ESPEN. 2018;24:1–13. doi:https://doi.org/10.1016/j.clnesp.2018.02.005
Keller H, Trinca V. Nutrition risk as measured by SCREEN-8 is predictive of 3-year healthcare service use. Submitted 2023.
Acknowledgements
This research was made possible using the data/biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation, as well as the following provinces, Newfoundland, Nova Scotia, Quebec, Ontario, Manitoba, Alberta, and British Columbia. This research has been conducted using the CLSA dataset Baseline Comprehensive v7.0 and Follow-up 1 Comprehensive v3.2 under Application ID #2006009. The CLSA is led by Drs. Parminder Raina, Christina Wolfson and Susan Kirkland.
Funding
Funding Statement This secondary analysis was supported by the Canadian Consortium on Neurodegeneration in Aging (CCNA, Team 5). CCNA is supported by a grant from the Canadian Institutes of Health Research with funding from several partners.
Author information
Authors and Affiliations
Contributions
Author Contributions: HK conceptualized the study. VT performed data analyses. The first draft of the manuscript was written by VT and HK. VT and HK read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of Interest: HK is the originator of the SCREEN-8 instrument used in the CLSA to determine nutrition risk.
Ethical standards: This present study has been reviewed and received ethics clearance from a University of Waterloo Research Ethics Board (ORE#42598).
Additional information
Disclaimer: The opinions expressed in this manuscript are the author’s own and do not reflect the views of the Canadian Longitudinal Study on Aging.
Rights and permissions
About this article
Cite this article
Trinca, V., Keller, H. Nutrition Risk Is Associated with 3-Year Strength and Performance Indicators among Older Adults in the Canadian Longitudinal Study on Aging. J Nutr Health Aging 27, 868–877 (2023). https://doi.org/10.1007/s12603-023-1980-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12603-023-1980-3