1
|
Bennett R, Demmers TA, Plourde H, Arrey K, Armour B, Ferland G, Kakinami L. Arthritis is associated with high nutritional risk among older Canadian adults from the Canadian Longitudinal Study on Aging. Sci Rep 2024; 14:10807. [PMID: 38734730 PMCID: PMC11088626 DOI: 10.1038/s41598-024-58370-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 03/28/2024] [Indexed: 05/13/2024] Open
Abstract
This study assessed the association between arthritis, functional impairment, and nutritional risk (NR). Cross-sectional data were from the Canadian Longitudinal Study on Aging, a nationally representative sample of 45-85-year-old community-dwelling Canadians (n = 41,153). The abbreviated Seniors in the Community: Risk Evaluating for Eating and Nutrition II (SCREEN II-AB) Questionnaire determined NR scores (continuous), and high NR (score < 38); the Older American Resources and Services scale measured functional impairment. NR scores and status (low/high) were modelled using multiple linear and logistic regressions, respectively. Analyses adjusted for demographic characteristics, functional impairment, and health (body mass index, self-rated general and mental health). Additional analyses stratified the models by functional impairment. People with arthritis had poorer NR scores (B: - 0.35, CI - 0.48, - 0.22; p < 0.05) and increased risks of high NR (OR 1.11, 95% CI 1.06, 1.17). Among those with functional impairment, the likelihood of high NR was 31% higher in people with arthritis compared to those without arthritis (95% CI 1.12, 1.53). Among those with no functional impairment, the likelihood of high NR was 10% higher in people with arthritis compared to those without (95% CI 1.04, 1.16). These relationships differed based on the type of arthritis. Arthritis is associated with high NR in community-dwelling older adults, both with and without functional impairment. Findings highlight the need for further research on these relationships to inform interventions and improve clinical practices.
Collapse
Affiliation(s)
- Roxanne Bennett
- School of Health, Concordia University, Montreal, QC, Canada
| | - Thea A Demmers
- School of Health, Concordia University, Montreal, QC, Canada
- École de Santé Publique, Centre de Recherche en Santé Publique, Université de Montréal, Montreal, QC, Canada
| | - Hugues Plourde
- School of Human Nutrition, McGill University, Montreal, QC, Canada
| | | | - Beth Armour
- PEN- Practice-Based Evidence in Nutrition®, Dietitians of Canada, Toronto, Canada
| | - Guylaine Ferland
- Département de Nutrition, Faculté de Médicine, Université de Montréal, Montreal, QC, Canada
| | - Lisa Kakinami
- School of Health, Concordia University, Montreal, QC, Canada.
- Department of Mathematics and Statistics, Concordia University, 1455 de Maisonneuve West, Montreal, QC, H3G 1M8, Canada.
| |
Collapse
|
2
|
Mwala NN, Borkent JW, van der Meij BS, de van der Schueren MAE. Challenges in identifying malnutrition in obesity; An overview of the state of the art and directions for future research. Nutr Res Rev 2024:1-10. [PMID: 38576127 PMCID: PMC7616526 DOI: 10.1017/s095442242400012x] [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] [Indexed: 04/06/2024]
Abstract
(Protein-energy) malnutrition in individuals living with obesity presents complex diagnostic challenges due to the distinctive physiological characteristics of obesity. This narrative review critically examines the identification of malnutrition within the population with obesity, distinguishing malnutrition in obesity from related conditions such as sarcopenic obesity. While noting some shared features, the review highlights key differences between these conditions. The review also highlights the limitations of current malnutrition screening tools, which are not designed for individuals living with obesity. These tools primarily rely on anthropometric measurements, neglecting (among others) nutrient intake assessment, which hinders accurate malnutrition detection. Additionally, this review discusses limitations in existing diagnostic criteria, including the Global Leadership Initiative on Malnutrition (GLIM) criteria, when applied to individuals living with obesity. Challenges include the identification of appropriate cut-off values for phenotypic criteria (unintentional weight loss, low body mass index and muscle mass) and aetiological criteria such as reduced food intake and inflammation for the population with obesity. Overall, this review emphasises the need for modified screening tools and diagnostic criteria to recognise and assess malnutrition in obesity, leading to improved clinical outcomes and overall wellbeing.
Collapse
Affiliation(s)
- Natasha Nalucha Mwala
- Department of Nutrition, Dietetics and Lifestyle, School of Allied Health, HAN University of Applied Sciences, Nijmegen, the Netherlands
- Department of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
| | - Jos W Borkent
- Department of Nutrition, Dietetics and Lifestyle, School of Allied Health, HAN University of Applied Sciences, Nijmegen, the Netherlands
- Department of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
| | - Barbara S van der Meij
- Department of Nutrition, Dietetics and Lifestyle, School of Allied Health, HAN University of Applied Sciences, Nijmegen, the Netherlands
- Department of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
- Bond University Nutrition and Dietetics Research Group, Bond University, Gold Coast, Australia
| | - Marian A E de van der Schueren
- Department of Nutrition, Dietetics and Lifestyle, School of Allied Health, HAN University of Applied Sciences, Nijmegen, the Netherlands
- Department of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
| |
Collapse
|
3
|
Fedoruk R, Olstad H, Watts L, Morrison M, Ward J, Popeski N, Atkins M, Chan CB. Community-Based Nutrition Risk Screening in Older Adults (COMRISK): An Exploration of the Experience of Being Screened and Prevalence of Nutrition Risk in Alberta, Canada. Can J Aging 2023:1-11. [PMID: 37974476 DOI: 10.1017/s0714980823000703] [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] [Indexed: 11/19/2023] Open
Abstract
The objectives of this feasibility study were to measure the prevalence of nutrition risk in community-dwelling older adults (CDOA, ages ≥ 65 years) and explore the perspectives of CDOA of the acceptability, value, and effectiveness of nutrition risk screening in primary care and community settings. Using the Seniors in the Community: Risk Evaluation for Eating and Nutrition (SCREEN)© eight-item tool (n = 276), results indicated that moderate and high nutrition risks affected 50 per cent and 8 per cent, respectively, of those screened. Interviewees (n = 16) agreed that screening is acceptable, important, and valuable (Theme One). Effectiveness was unclear, as only 3 of 16 respondents recalled being told their nutrition risk status. When articulating nutrition-related issues, a food security theme, expressed in the third person, was prominent (Theme Two). Screening for nutrition risk and receiving nutrition information in community-based settings are acceptable to CDOA and medically necessary, as evidenced by the high proportion of CDOA at moderate-high nutrition risk.
Collapse
Affiliation(s)
- Rani Fedoruk
- Department of Agricultural, Food and Nutritional Science, Li Ka Shing Centre of Health Innovation, University of Alberta, Edmonton, AB, Canada
| | - Heidi Olstad
- Nutrition Services, Alberta Health Services, Red Deer, AB, Canada
| | - Lori Watts
- Red Deer Primary Care Network, Red Deer, AB, Canada
| | - Monica Morrison
- Golden Circle Senior Resource Centre (retired), Red Deer, AB, Canada
| | - Jill Ward
- Peaks to Prairies Primary Care Network, Olds, AB, Canada
| | - Naomi Popeski
- Diabetes, Obesity and Nutrition Strategic Clinical Network, Alberta Health Services, Calgary, AB, Canada
| | - Marlis Atkins
- Nutrition Services, Alberta Health Services, Edmonton, AB, Canada
| | - Catherine B Chan
- Department of Agricultural, Food and Nutritional Science, Li Ka Shing Centre of Health Innovation, University of Alberta, Edmonton, AB, Canada
- Department of Physiology, University of Alberta, Medical Sciences Building, Edmonton, AB, Canada
| |
Collapse
|
4
|
Borkent JW, Van Hout HPJ, Feskens EJM, Naumann E, de van der Schueren MAE. Diseases, Health-Related Problems, and the Incidence of Malnutrition in Long-Term Care Facilities. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3170. [PMID: 36833865 PMCID: PMC9959926 DOI: 10.3390/ijerph20043170] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/06/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Certain diseases and malnutrition are known to co-occur in residents of long-term care facilities (LTCF). We assessed which diseases and health-related problems are associated with malnutrition at admission or with incident malnutrition during stays and how different definitions of malnutrition affect these associations. Data of Dutch LTCF residents were obtained from the InterRAI-LTCF instrument (2005-2020). We analyzed the association of diseases (diabetes, cancer, pressure ulcers, neurological, musculoskeletal, psychiatric, cardiac, infectious and pulmonary diseases) and health-related problems (aspiration, fever, peripheral edema, aphasia, pain, supervised/assisted eating, balance, psychiatric, GI tract, sleep, dental and locomotion problems) with malnutrition (recent weight loss (WL), low age-specific BMI (BMI), and ESPEN 2015 definition (ESPEN)) at admission (n = 3713), as well as with incident malnutrition during stay (n = 3836, median follow-up ~1 year). Malnutrition prevalence at admission ranged from 8.8% (WL) to 27.4% (BMI); incident malnutrition during stay ranged from 8.9% (ESPEN) to 13.8% (WL). At admission, most diseases (except cardiometabolic diseases) and health-related problems were associated with higher prevalence of malnutrition based on either criterion, but strongest with WL. This was also seen in the prospective analysis, but relationships were less strong compared to the cross-sectional analysis. A considerable number of diseases and health-related problems are associated with an increased prevalence of malnutrition at admission and incident malnutrition during stays in LTCFs. At admission, low BMI is a good indicator of malnutrition; during stays, we advise use of WL.
Collapse
Affiliation(s)
- Jos W. Borkent
- Department of Nutrition and Health, HAN University of Applied Sciences, Kapittelweg 33, 6525 EN Nijmegen, The Netherlands
- Division of Human Nutrition and Health, Wageningen University, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| | - Hein P. J. Van Hout
- Amsterdam University Medical Center, Department of General Practice and Medicine for Older Persons, Vrije Universiteit, Van der Boechorsstraat 7, 1081 BT Amsterdam, The Netherlands
| | - Edith J. M. Feskens
- Division of Human Nutrition and Health, Wageningen University, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| | - Elke Naumann
- Department of Nutrition and Health, HAN University of Applied Sciences, Kapittelweg 33, 6525 EN Nijmegen, The Netherlands
| | - Marian A. E. de van der Schueren
- Department of Nutrition and Health, HAN University of Applied Sciences, Kapittelweg 33, 6525 EN Nijmegen, The Netherlands
- Division of Human Nutrition and Health, Wageningen University, Stippeneng 4, 6708 WE Wageningen, The Netherlands
| |
Collapse
|
5
|
Bloom I, Zhang J, Parsons C, Bevilacqua G, Dennison EM, Cooper C, Ward KA. Nutritional risk and its relationship with physical function in community-dwelling older adults. Aging Clin Exp Res 2022; 34:2031-2039. [PMID: 35773448 PMCID: PMC9464117 DOI: 10.1007/s40520-022-02171-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 06/06/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND Malnutrition is a serious concern in older populations. Simple screening approaches are needed to identify signs of early nutritional risk in older people, to allow intervention before overt malnutrition develops, along with the poorer health outcomes associated with it, such as sarcopaenia and frailty. The main aim of this study was to compare nutrition risk scores, calculated from the DETERMINE Checklist ('Determine Your Nutritional Health', also known as the Nutrition Screening Initiative Checklist), with physical function variables in a group of community-dwelling older adults. Another aim was to assess the prevalence of nutrition risk using the DETERMINE and the MUST (Malnutrition Universal Screening Tool). METHODS Participants of the Hertfordshire Cohort Study (HCS) were recruited and visited at home by a trained researcher. Self-reported physical function was assessed using the SF-36 PF (Short Form-36 Physical Function) scale. The Short Physical Performance Battery (SPPB) was performed, which included the assessment of gait speed, chair rise time and standing balance. Handgrip strength was measured using a Jamar dynamometer. Frailty was assessed according to the presence of at least three of the following Fried frailty criteria: unintentional weight loss, weakness, self-reported exhaustion, slow gait speed and low physical activity. Nutrition risk scores were calculated from the DETERMINE checklist (range 0-21). Nutritional risk was also assessed using the MUST. Analyses were adjusted for sex, age, age left education and number of comorbidities. RESULTS In the study, 176 participants (94 men and 82 women), median age 83.3 (IQR 81.5-85.7) years, were assessed. Almost half (47%) scored either 'moderate' (score 3-5) or 'high' (score ≥ 6) nutritional risk (9% were at high risk), using the DETERMINE checklist, whereas 8% were at risk using the MUST. Higher nutrition risk scores, calculated from DETERMINE, were associated with poorer self-reported physical function (difference in SF-36 PF score: - 0.36, 95% CI (- 0.60, - 0.12) SD per unit increase in nutrition risk score, P = 0.004) and higher odds of being frail (odds ratio Fried frailty: 2.23, 95% CI (1.15, 4.33), P = 0.017). There were no significant associations between DETERMINE nutrition risk scores and the other variables examined. CONCLUSION Cross-sectional associations between higher nutrition risk scores, assessed from the DETERMINE checklist, and poorer self-reported physical function and greater likelihood of frailty suggest that this screening tool may have utility for screening older populations. Prospective studies are required to explore the ability of the tool to predict poor physical function and frailty, though these data suggest it has potential for early, simple detection of nutritional problems in community-living older adults.
Collapse
Affiliation(s)
- Ilse Bloom
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK.
| | - Jean Zhang
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK
| | - Camille Parsons
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
| | - Gregorio Bevilacqua
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
- Victoria University of Wellington, Wellington, New Zealand
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, OX3 7LD, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
| |
Collapse
|
6
|
de van der Schueren MA, Jager-Wittenaar H. Malnutrition risk screening: New insights in a new era. Clin Nutr 2022; 41:2163-2168. [DOI: 10.1016/j.clnu.2022.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 11/03/2022]
|
7
|
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:nzac007. [PMID: 35415390 PMCID: PMC8989279 DOI: 10.1093/cdn/nzac007] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 01/14/2021] [Indexed: 11/13/2022] Open
Abstract
In recent years the focus of healthcare and nutritional science in older adults has shifted from mortality towards physical performance and quality of life. The aim of this review was to summarize observational studies on physical performance in malnourished (MN) or at risk of malnutrition (RMN) older adults compared with well-nourished (WN) older adults. Eligible studies had to report on nutritional status and objectively measured physical performance in older adults (≥60 y). MN or RMN groups had to be compared with a WN group, measured with a validated nutrition screener. Ovid Medline and Web of Science were searched until 13 November, 2020. Study quality was scored using a modified Newcastle-Ottawa Scale (NOS). Results were analyzed by meta-analysis when possible, or narratively reviewed otherwise. Forty-five studies (16,911 participants in total) were included from studies in outpatient clinics (n = 6), nursing homes (n = 3), community-dwelling older adults (n = 20), hospitalized patients (n = 15), or a combination (n = 1). Studies used 11 different screeners of malnutrition, and 8 types of physical performance measures. Meta-analysis showed that compared with MN, WN groups had better hand grip strength (mean difference [MD] = 4.92 kg; 95% CI: 3.43, 6.41; P < 0.001; n = 23), faster gait speed (MD = 0.16 m/s; 95% CI: 0.05, 0.27; P = 0.0033; n = 7), performed faster on timed-up-and-go (MD = -5.94 s; 95% CI: -8.98, -2.89; P < 0.001; n = 8), and scored 1.2 more short physical performance battery points (95% CI: 1.32, 2.73; P < 0.001; n = 6). Results were less pronounced when compared with RMN. Narratively, all studies showed an association for knee extension strength, 6-min walking test, and multicomponent tests, except for the chair stand test. Study limitations include no studies scoring "good" on NOS, lack of confounder adjustment, and high heterogeneity. Overall, evidence from cross-sectional studies indicate an association between malnutrition and worse physical performance in older adults. This study is registered in PROSPERO as CRD42020192893.
Collapse
Affiliation(s)
- Charlotte S Kramer
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Inge Groenendijk
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Sonja Beers
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Hugo H Wijnen
- Department of Geriatrics, Rijnstate Hospital, Arnhem, The Netherlands
| | - Ondine van de Rest
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Lisette C P G M de Groot
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| |
Collapse
|
8
|
Boutata FZ, Bencharif M, Abdessemed D. Validity of four nutritional screening tools against subjective global assessment for inpatients with non communicable diseases (Algeria, 2020). NUTR CLIN METAB 2022. [DOI: 10.1016/j.nupar.2021.08.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
9
|
Borkent JW, van Hout HPJ, Feskens EJM, Naumann E, de van der Schueren MAE. Behavioral and Cognitive Problems as Determinants of Malnutrition in Long-Term Care Facilities, a Cross-Sectional and Prospective Study. J Nutr Health Aging 2022; 26:749-759. [PMID: 35934819 DOI: 10.1007/s12603-022-1827-3] [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: 10/16/2022]
Abstract
OBJECTIVES To investigate the cross-sectional and prospective associations between behavior and cognitive problems and malnutrition in long-term care facilities (LTCF). DESIGN Cross-sectional and prospective routine care cohort study. SETTING 6874 Residents in Dutch LTCFs (period 2005-2020). PARTICIPANTS Data were obtained from the InterRAI-LTCF instrument. Cross-sectional analyses on prevalence of malnutrition at admission included 3722 residents. Prospective analyses studied incident malnutrition during stay (total follow-up time 7104 years) and included data of 1826 residents with first measurement on admission ('newly-admitted') and n=3152 with first measurement on average ~1 year after admission ('existing'). MEASUREMENTS InterRAI scales for communication problems (CS), aggressive behavior (ABS), social engagement (RISE), depressive symptoms (DRS), cognitive performance (CPS) and the total number of behavior and cognitive problems were investigated as independent variables and malnutrition (ESPEN 2015 definition) as dependent variable in regression analyses. Results were stratified for gender and group 'newly-admitted' vs. 'existing'. RESULTS On admission, 9.5% of residents was malnourished. In men, low social engagement was associated with prevalence of malnutrition. In women, all behavior and cognitive problems except depression were associated with malnutrition in the unadjusted analyses, but this attenuated in the full model taking all problems into account. The incidence of malnutrition during stay amounted to 8.9%. No significant associations of behavior and cognitive problems with malnutrition incidence were seen in 'newly-admitted' male residents while in 'existing' male residents all determinants were significantly associated. In 'newly-admitted' female residents CS, ABS and CPS, and in 'existing' female residents CS, RISE, ABS and CPS were significantly associated with incident malnutrition. All associations slightly attenuated after adjustment. Malnutrition incidence increased with increasing number of combined behavior and cognitive problems. CONCLUSION Residents with behavior and cognitive problems are at an increased risk of being malnourished at admission, or becoming malnourished during stay in a LTCF, especially residents with multiple behavior and cognitive problems.
Collapse
Affiliation(s)
- J W Borkent
- Jos W. Borkent, Wageningen University, Stippeneng 4, 6708 WE Wageningen, The Netherlands,
| | | | | | | | | |
Collapse
|
10
|
Borkent JW, Keller H, Wham C, Wijers F, de van der Schueren MAE. Cross-Country Differences and Similarities in Undernutrition Prevalence and Risk as Measured by SCREEN II in Community-Dwelling Older Adults. Healthcare (Basel) 2020; 8:E151. [PMID: 32498433 PMCID: PMC7349548 DOI: 10.3390/healthcare8020151] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 05/27/2020] [Accepted: 05/29/2020] [Indexed: 11/16/2022] Open
Abstract
Undernutrition is highly prevalent among community-dwelling older adults. Early identification of nutrition risk is important to prevent or treat undernutrition. This study describes the prevalence rates of nutrition risk in community-dwelling older adults (aged ≥ 65) using the same validated tool across different countries and aims to identify differences in nutritional risk factors. Cross-sectional data was obtained from three datasets including participants from the Netherlands (NL), Canada (CA) and New Zealand (NZ). Seniors in the Community Risk Evaluation for Eating and Nutrition II (SCREEN II) was used to assess nutritional risk factors and prevalence of risk. Differences between countries were tested with logistic and linear regression. Sensitivity analyses were conducted to test the influence of sampling strategy. A total of 13,340 participants were included, and 66.3% were found to be at high nutrition risk. After stratifying the data for method of data sampling, prevalence rates showed some differences across countries (NL: 61.5%, NZ: 68.2%, CA: 70.1%). Risk factor items that contributed to nutrition risk also differed among countries: NZ and CA participants scored higher for weight change, skipping meals, problems with meal preparation, use of meal replacements, problems with biting and chewing, low fluid intake and problems with doing groceries, as compared to participants in NL. Low intake of fruits and vegetables and meat were more prevalent in NL. In conclusion: nutrition risk is a worldwide, highly prevalent problem among community-dwelling older adults, but risk factors contributing to nutrition risk differ by country.
Collapse
Affiliation(s)
- Jos W. Borkent
- Department of Nutrition and Health, School of Allied Health, HAN University of Applied Sciences, 6525 EN Nijmegen, The Netherlands; (F.W.); (M.A.E.d.v.d.S.)
| | - Heather Keller
- Schlegel-University of Waterloo Research Institute for Aging, Department of Kinesiology, University of Waterloo, Waterloo, ON N2G 0E2, Canada;
| | - Carol Wham
- School of Sport, Exercise and Nutrition, Massey University, Auckland 0632, New Zealand;
| | - Fleur Wijers
- Department of Nutrition and Health, School of Allied Health, HAN University of Applied Sciences, 6525 EN Nijmegen, The Netherlands; (F.W.); (M.A.E.d.v.d.S.)
| | - Marian A. E. de van der Schueren
- Department of Nutrition and Health, School of Allied Health, HAN University of Applied Sciences, 6525 EN Nijmegen, The Netherlands; (F.W.); (M.A.E.d.v.d.S.)
| |
Collapse
|