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Murphy JL. Improving nutrition and hydration in older people with dementia in care homes. Nurs Older People 2022; 34:e1389. [PMID: 36069186 DOI: 10.7748/nop.2022.e1389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/09/2022] [Indexed: 06/15/2023]
Abstract
Dementia can have significant adverse effects on people's ability to eat and drink sufficiently. People with dementia can experience malnutrition and unintentional weight loss at any stage of the condition, but these occur more often in the middle and late stages. It is important that nurses and care staff working in care homes have the appropriate knowledge and skills to provide optimal nutritional care to residents, thereby improving their health, well-being and quality of life. This article provides an overview of nutrition and hydration issues commonly experienced by people with dementia. It explores common causes of suboptimal nutrition and hydration, outlines tools for nutritional screening and assessment and discusses interventions to improve the nutritional care of care home residents with dementia.
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Affiliation(s)
- Jane Louise Murphy
- Ageing and Dementia Research Centre, Bournemouth University, Bournemouth, England
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2
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Verwijs MH, van de Rest O, van der Putten GJ, de Groot LCPGM, Boesveldt S. The Effect of Food Odor Exposure on Appetite and Nutritional Intake of Older Adults with Dementia. J Nutr Health Aging 2022; 26:112-118. [PMID: 35166301 DOI: 10.1007/s12603-021-1719-y] [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: 11/25/2022]
Abstract
OBJECTIVES Dementia can lead to decreased appetite and nutritional intake. Food odor exposure has been shown to increase appetite and nutritional intake in young healthy adults. This study investigates the effect of food odor exposure on appetite, nutritional intake and body weight of Dutch nursing home residents with dementia. DESIGN This was a one-armed, non-randomized, non-blinded intervention study consisting of a four-week control period followed by a twelve-week intervention period. SETTING Four nursing homes in the Netherlands. PARTICIPANTS Forty-five nursing home residents with dementia. INTERVENTION During the intervention period, odors were dispersed prior to the main meals. MEASUREMENTS General and specific appetite for sweet and savory foods was measured weekly. Nutritional intake was measured once during the control period and three times during the intervention period through a 3-day food record. Body weight was assessed at the start and end of the control period and at the start, end and halfway the intervention period. Data were analyzed with linear mixed models. RESULTS Small changes in general and specific appetite were observed after odor exposure. Overall energy intake did not change during the first four intervention weeks, but increased during the second and third (+118kcal/d, p=0.003 and +122kcal/d, p=0.004). Protein intake and body weight did not significantly change during the study. CONCLUSION In this study, no clinically relevant changes in appetite, nutritional intake and body weight were observed after food odor exposure. Future studies should assess the effect of natural food odors and/or meal-tailored odors on nutritional intake of older adults with dementia.
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Affiliation(s)
- M H Verwijs
- Sanne Boesveldt, Wageningen University and Research, Human Nutrition and Health, Stippeneng 4, 6708WE Wageningen, the Netherlands;
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3
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Breasail MÓ, Biswas B, Smith MD, Mazhar MKA, Tenison E, Cullen A, Lithander FE, Roudaut A, Henderson EJ. Wearable GPS and Accelerometer Technologies for Monitoring Mobility and Physical Activity in Neurodegenerative Disorders: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2021; 21:8261. [PMID: 34960353 PMCID: PMC8705556 DOI: 10.3390/s21248261] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 11/26/2021] [Accepted: 12/02/2021] [Indexed: 12/21/2022]
Abstract
Neurodegenerative disorders (NDDs) constitute an increasing global burden and can significantly impair an individual's mobility, physical activity (PA), and independence. Remote monitoring has been difficult without relying on diaries/questionnaires which are more challenging for people with dementia to complete. Wearable global positioning system (GPS) sensors and accelerometers present a cost-effective and noninvasive way to passively monitor mobility and PA. In addition, changes in sensor-derived outcomes (such as walking behaviour, sedentary, and active activity) may serve as potential biomarkers of disease onset, progression, and response to treatment. We performed a systematic search across four databases to identify papers published within the past 5 years, in which wearable GPS or accelerometers were used to monitor mobility or PA in patients with common NDDs (Parkinson's disease, Alzheimer's disease, motor neuron diseases/amyotrophic lateral sclerosis, vascular parkinsonism, and vascular dementia). Disease and technology-specific vocabulary were searched singly, and then in combination, identifying 4985 papers. Following deduplication, we screened 3115 papers and retained 28 studies following a full text review. One study used wearable GPS and accelerometers, while 27 studies used solely accelerometers in NDDs. GPS-derived measures had been validated against current gold standard measures in one Parkinson's cohort, suggesting that the technology may be applicable to other NDDs. In contrast, accelerometers are widely utilised in NDDs and have been operationalised in well-designed clinical trials.
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Affiliation(s)
- Mícheál Ó. Breasail
- Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol BS8 1NU, UK; (M.Ó.B.); (M.D.S.); (M.K.A.M.); (E.T.); (A.C.); (F.E.L.); (E.J.H.)
| | - Bijetri Biswas
- Department of Electronic and Electrical Engineering, Computer Science and Mathematics, University of Bristol, Bristol BS8 1TH, UK
| | - Matthew D. Smith
- Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol BS8 1NU, UK; (M.Ó.B.); (M.D.S.); (M.K.A.M.); (E.T.); (A.C.); (F.E.L.); (E.J.H.)
- Older Peoples Unit, Royal United Hospital NHS Foundation Trust, Bath BN1 3NG, UK
| | - Md Khadimul A. Mazhar
- Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol BS8 1NU, UK; (M.Ó.B.); (M.D.S.); (M.K.A.M.); (E.T.); (A.C.); (F.E.L.); (E.J.H.)
| | - Emma Tenison
- Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol BS8 1NU, UK; (M.Ó.B.); (M.D.S.); (M.K.A.M.); (E.T.); (A.C.); (F.E.L.); (E.J.H.)
| | - Anisha Cullen
- Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol BS8 1NU, UK; (M.Ó.B.); (M.D.S.); (M.K.A.M.); (E.T.); (A.C.); (F.E.L.); (E.J.H.)
| | - Fiona E. Lithander
- Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol BS8 1NU, UK; (M.Ó.B.); (M.D.S.); (M.K.A.M.); (E.T.); (A.C.); (F.E.L.); (E.J.H.)
| | - Anne Roudaut
- Department of Computer Science, University of Bristol, Bristol BS8 1TH, UK;
| | - Emily J. Henderson
- Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol BS8 1NU, UK; (M.Ó.B.); (M.D.S.); (M.K.A.M.); (E.T.); (A.C.); (F.E.L.); (E.J.H.)
- Older Peoples Unit, Royal United Hospital NHS Foundation Trust, Bath BN1 3NG, UK
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4
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Zamiri M, Sarraipa J, Luis-Ferreira F, Manus GM, O’Brien P, Camarinha-Matos LM, Jardim-Goncalves R. Review of Technology-Supported Multimodal Solutions for People with Dementia. SENSORS (BASEL, SWITZERLAND) 2021; 21:4806. [PMID: 34300547 PMCID: PMC8309709 DOI: 10.3390/s21144806] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/25/2021] [Accepted: 07/10/2021] [Indexed: 11/16/2022]
Abstract
The number of people living with dementia in the world is rising at an unprecedented rate, and no country will be spared. Furthermore, neither decisive treatment nor effective medicines have yet become effective. One potential alternative to this emerging challenge is utilizing supportive technologies and services that not only assist people with dementia to do their daily activities safely and independently, but also reduce the overwhelming pressure on their caregivers. Thus, for this study, a systematic literature review is conducted in an attempt to gain an overview of the latest findings in this field of study and to address some commercially available supportive technologies and services that have potential application for people living with dementia. To this end, 30 potential supportive technologies and 15 active supportive services are identified from the literature and related websites. The technologies and services are classified into different classes and subclasses (according to their functionalities, capabilities, and features) aiming to facilitate their understanding and evaluation. The results of this work are aimed as a base for designing, integrating, developing, adapting, and customizing potential multimodal solutions for the specific needs of vulnerable people of our societies, such as those who suffer from different degrees of dementia.
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Affiliation(s)
- Majid Zamiri
- NOVA School of Science and Technology and UNINOVA—CTS, 2829-516 Caparica, Portugal; (J.S.); (F.L.-F.); (L.M.C.-M.); (R.J.-G.)
| | - Joao Sarraipa
- NOVA School of Science and Technology and UNINOVA—CTS, 2829-516 Caparica, Portugal; (J.S.); (F.L.-F.); (L.M.C.-M.); (R.J.-G.)
| | - Fernando Luis-Ferreira
- NOVA School of Science and Technology and UNINOVA—CTS, 2829-516 Caparica, Portugal; (J.S.); (F.L.-F.); (L.M.C.-M.); (R.J.-G.)
| | - Gary Mc Manus
- Waterforf Institute Technology, Telecommunications Software and Systems Group (TSSG), X91 WR86 Carriganore, Ireland; (G.M.M.); (P.O.)
| | - Philip O’Brien
- Waterforf Institute Technology, Telecommunications Software and Systems Group (TSSG), X91 WR86 Carriganore, Ireland; (G.M.M.); (P.O.)
| | - Luis M. Camarinha-Matos
- NOVA School of Science and Technology and UNINOVA—CTS, 2829-516 Caparica, Portugal; (J.S.); (F.L.-F.); (L.M.C.-M.); (R.J.-G.)
| | - Ricardo Jardim-Goncalves
- NOVA School of Science and Technology and UNINOVA—CTS, 2829-516 Caparica, Portugal; (J.S.); (F.L.-F.); (L.M.C.-M.); (R.J.-G.)
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5
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Porter J, Thompson H, Tjahyo AS. Understanding total energy expenditure in people with dementia: A systematic review with directions for future research. Australas J Ageing 2021; 40:243-251. [PMID: 34192416 DOI: 10.1111/ajag.12977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 05/05/2021] [Accepted: 05/22/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Weight loss is a primary manifestation of dementia. This review aimed to systematically synthesise the literature on total energy expenditure (TEE) in people with dementia. METHODS The protocol, registered with PROSPERO, was reported against PRISMA guidelines. Eligible studies investigated TEE in people with dementia. Six electronic databases and a supplementary Internet search identified relevant publications. Results were synthesised narratively. RESULTS The final library considered the TEE of 358 participants. Two studies used the gold standard method of doubly labelled water (DLW); other studies used TEE measures validated against DLW. TEE varied considerably, from 6095 ± 1353 kJ to 9765 ± 2066 kJ. The TEE of community-dwelling people with dementia (range 8430 ± 2250 kJ-9765 ± 2066 kJ) was higher than in institutionalised groups (range 6095 ± 1353 kJ-7619 ± 1827 kJ). CONCLUSIONS New technologies will enable future research in this patient population to be less burdensome than those reliant on DLW measures. In planning future research, avoidance of selection bias and considering disease stage and movement are important considerations.
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Affiliation(s)
- Judi Porter
- School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia
| | - Hannah Thompson
- School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia
| | - Alvin Surya Tjahyo
- Clinical Nutrition Research Centre, Singapore Institute of Food and Biotechnology Innovation, Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
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6
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Salminen K, Willman M, Kautiainen H, Pitkälä K, Roitto HM, Suominen M. Temporal trends in nutrition intake among older long-term care residents. Clin Nutr 2021; 40:3793-3797. [PMID: 34134002 DOI: 10.1016/j.clnu.2021.04.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 04/09/2021] [Accepted: 04/30/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND & AIMS The temporal trends in protein and other nutrient intakes among older long-term care residents have not been studied. The aim of this study was to explore the changes in energy, protein, and other nutrient intakes between 2007 and 2017-8 in two cross-sectional samples of older long-term care residents in the Helsinki metropolitan area. We also studied how the residents' disability and stage of cognition modified the association between observation year and protein intake (g/body weight kg). METHODS Two cross-sectional samples were collected in 2007 (n = 350) and 2017-8 (n = 476) in long-term care settings. Residents' nutrient intake was determined by a one- or two-day food record. Residents' disability was determined by the Clinical Dementia Rating (CDR) "personal care" question and stage of cognition was determined by the CDR "memory" item. RESULTS There was no significant difference in energy intake between the observation years. Carbohydrates, total protein, and protein (g/body weight kg) intakes were significantly lower in 2017-8 than in 2007. Fat intake was higher in 2017-8 than in 2007. In 2017-8, the intake of some vitamins and minerals was lower (thiamine, calcium) but some higher (vitamins A, D, C, E) compared to 2007. Residents' disability (p = 0.049) and observation year (p = 0.037) were significantly associated with protein intake (g/body weight kg), but the interaction was not significant (p = 0.35). Furthermore, residents' stage of cognition was not associated with protein intake (p = 0.22) but observation year was (p < 0.001). The interaction was not significant (p = 0.30). CONCLUSIONS Whereas the energy intake remained at the same level in the observation years, the ratio of macronutrient intake changed in an unfavorable way. The intake of protein and some vitamins were lower whereas the relative proportion of fat was higher in 2017-8 compared to 2007. As long-term care residents become more disabled in the future, more attention should be paid to diet quality.
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Affiliation(s)
- Karoliina Salminen
- University of Helsinki, Department of General Practice and Primary Health Care, Helsinki, Finland, POB 20, 00014, Helsinki, Finland; Vantaa Social Welfare and Health Care, Kielotie 11 A, 01300 Vantaa, Finland.
| | - Mirjami Willman
- University of Helsinki, Department of Food and Nutrition, Agnes Sjöbergin Katu 2 00014 Helsinki, Finland
| | - Hannu Kautiainen
- University of Helsinki, Department of General Practice and Primary Health Care, Helsinki, Finland, POB 20, 00014, Helsinki, Finland
| | - Kaisu Pitkälä
- University of Helsinki, Department of General Practice and Primary Health Care, Helsinki, Finland, POB 20, 00014, Helsinki, Finland; Helsinki University Hospital, Unit of Primary Health Care, Tukholmankatu 8 B, Biomedicum 2 B, 00290 Helsinki, Finland
| | - Hanna-Maria Roitto
- University of Helsinki, Department of General Practice and Primary Health Care, Helsinki, Finland, POB 20, 00014, Helsinki, Finland; Department of Social Services and Health Care, Geriatric Clinic, Helsinki Hospital, Lääkärinkatu 8, 00250 Helsinki, Finland
| | - Merja Suominen
- University of Helsinki, Department of General Practice and Primary Health Care, Helsinki, Finland, POB 20, 00014, Helsinki, Finland
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7
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Cote AC, Phelps RJ, Kabiri NS, Bhangu JS, Thomas KK. Corrigendum: Evaluation of Wearable Technology in Dementia: A Systematic Review and Meta-Analysis. Front Med (Lausanne) 2021; 8:659639. [PMID: 33777985 PMCID: PMC7992363 DOI: 10.3389/fmed.2021.659639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 02/12/2021] [Indexed: 11/13/2022] Open
Abstract
[This corrects the article DOI: 10.3389/fmed.2020.501104.].
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Affiliation(s)
- Alanna C Cote
- Department of Anatomy and Neurobiology, Boston University Medical Center, Boston, MA, United States.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Riley J Phelps
- Department of Anatomy and Neurobiology, Boston University Medical Center, Boston, MA, United States
| | - Nina Shaafi Kabiri
- Department of Anatomy and Neurobiology, Boston University Medical Center, Boston, MA, United States
| | - Jaspreet S Bhangu
- Department of Anatomy and Neurobiology, Boston University Medical Center, Boston, MA, United States.,Division of Geriatric Medicine, Department of Medicine, Western University, London, ON, Canada
| | - Kevin Kip Thomas
- Department of Anatomy and Neurobiology, Boston University Medical Center, Boston, MA, United States
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8
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Pirker-Kees A, Baumgartner C. Wearables bei Demenzerkrankungen. KLIN NEUROPHYSIOL 2021. [DOI: 10.1055/a-1353-9371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
ZusammenfassungDemenzerkrankungen führen durch den schleichenden Abbau kognitiver, sozialer und emotionaler Fähigkeiten, auch zu einem Verlust von Autonomie und Selbstbestimmtheit. Wearables sind am Körper getragene Sensoren: Akzelerometer und GPS-Tracker sind im Freizeit- und Fitnessbereich allgegenwärtig – sie zeichnen Bewegungs- und Positionsdaten auf. Das Potenzial, diese bei Demenzpatienten einzusetzen ist groß und wird intensiv beforscht. Wearables sind tlw. auch am Markt erhältlich (bspw. GPS-Tracker in Schuhsohlen). Informationen über Gangbild und Bewegungsdaten können auch Hinweise auf das Sturzrisiko, Verhaltensstörungen/Life-Events oder differenzialdiagnostische Aspekte geben. Trotz des großen Potenzials dürfen ethische Aspekte betreffend die Privatsphäre und den Datenschutz in der Entwicklung nicht außer Acht gelassen werden. Dieser Artikel gibt einen Überblick über die aktuelle Entwicklung von Wearables und damit verbundene ethische Aspekte.
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Affiliation(s)
- Agnes Pirker-Kees
- Neurologische Abteilung, Klinik Hietzing
- Karl Landsteiner Institut für Klinische Epilepsieforschung und Kognitive Neurologie
| | - Christoph Baumgartner
- Neurologische Abteilung, Klinik Hietzing
- Karl Landsteiner Institut für Klinische Epilepsieforschung und Kognitive Neurologie
- Medizinische Fakultät, Sigmund Freud Privatuniversität, Wien
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9
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Cote AC, Phelps RJ, Kabiri NS, Bhangu JS, Thomas KK. Evaluation of Wearable Technology in Dementia: A Systematic Review and Meta-Analysis. Front Med (Lausanne) 2021; 7:501104. [PMID: 33505979 PMCID: PMC7829192 DOI: 10.3389/fmed.2020.501104] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 11/30/2020] [Indexed: 01/22/2023] Open
Abstract
Background: The objective of this analysis was to systematically review studies employing wearable technology in patients with dementia by quantifying differences in digitally captured physiological endpoints. Methods: This systematic review and meta-analysis was based on web searches of Cochrane Database, PsycInfo, Pubmed, Embase, and IEEE between October 25–31st, 2017. Observational studies providing physiological data measured by wearable technology on participants with dementia with a mean age ≥50. Data were extracted according to PRISMA guidelines and methodological quality assessed independently using Downs and Black criteria. Standardized mean differences between cases and controls were estimated using random-effects models. Results: Forty-eight studies from 18,456 screened abstracts (Dementia: n = 2,516, Control: n = 1,224) met inclusion criteria for the systematic review. Nineteen of these studies were included in one or multiple meta-analyses (Dementia: n = 617, Control: n = 406). Participants with dementia demonstrated lower levels of daily activity (standardized mean difference (SMD), −1.60; 95% CI, −2.66 to −0.55), decreased sleep efficiency (SMD, −0.52; 95% CI, −0.89 to −0.16), and greater intradaily circadian variability (SMD, 0.46; 95% CI, 0.27 to 0.65) than controls, among other measures. Statistical between-study heterogeneity was observed, possibly due to variation in testing duration, device type or patient setting. Conclusions and Relevance: Digitally captured data using wearable devices revealed that adults with dementia were less active, demonstrated increased fragmentation of their sleep-wake cycle and a loss of typical diurnal variation in circadian rhythm as compared to controls.
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Affiliation(s)
- Alanna C Cote
- Department of Anatomy and Neurobiology, Boston University Medical Center, Boston, MA, United States.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Riley J Phelps
- Department of Anatomy and Neurobiology, Boston University Medical Center, Boston, MA, United States
| | - Nina Shaafi Kabiri
- Department of Anatomy and Neurobiology, Boston University Medical Center, Boston, MA, United States
| | - Jaspreet S Bhangu
- Department of Anatomy and Neurobiology, Boston University Medical Center, Boston, MA, United States.,Division of Geriatric Medicine, Department of Medicine, Western University, London, ON, Canada
| | - Kevin Kip Thomas
- Department of Anatomy and Neurobiology, Boston University Medical Center, Boston, MA, United States
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10
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Trinca V, Morrison J, Slaughter S, Keller H. Making the Most of Mealtimes (M3): effect of eating occasions and other covariates on energy and protein intake among Canadian older adult residents in long‐term care. J Hum Nutr Diet 2019; 33:3-11. [DOI: 10.1111/jhn.12686] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- V. Trinca
- Kinesiology Department University of Waterloo Waterloo Ontario Canada
| | - J. Morrison
- Kinesiology Department University of Waterloo Waterloo Ontario Canada
| | - S. Slaughter
- Faculty of Nursing University of Alberta Edmonton Alberta Canada
| | - H. Keller
- Kinesiology Department University of Waterloo Waterloo Ontario Canada
- Research Institute for Aging Schlegel‐University of Waterloo Waterloo Ontario Canada
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Nishida Y, Nakae S, Yamada Y, Kondo E, Yamaguchi M, Shirato H, Hirano H, Sasaki S, Tanaka S, Katsukawa F. Validity of One-Day Physical Activity Recall for Estimating Total Energy Expenditure in Elderly Residents at Long-Term Care Facilities: CLinical EValuation of Energy Requirements Study (CLEVER Study). J Nutr Sci Vitaminol (Tokyo) 2019; 65:148-156. [PMID: 31061283 DOI: 10.3177/jnsv.65.148] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Malnutrition is a severe problem among elderly residents living in long-term care facilities. A simple and accurate estimation for total daily energy expenditure (TEE) is required in order to provide them with an adequate amount of food. The purpose of this study was to validate a physical activity assessment tool for estimating TEE among elderly residents. The data of 58 subjects aged 69-99 y were analyzed in this study. The one-day physical activity recall was filled out by facility staff for a typical day. TEE was measured by the doubly labeled water (DLW) method (TEEDLW), and predicted by one-day physical activity recall using the basal metabolic rate (pTEEBMR) and body weight (pTEEBW). The TEEDLW, pTEEBMR and pTEEBW were 1,129±196 kcal/d, 1,186±251 kcal/d and 1,326±236 kcal/d, respectively. In a regression model, body weight, movement means and sex explained 39.0% of the variance in the difference between pTEEBMR and TEEDLW (p<0.05). Percentage of fat mass, body weight, and Barthel Index except mobility explained 47.3% of the variance in the difference between pTEEBW and TEEDLW (p<0.05). The current results suggested that pTEEBW is not recommended to estimate TEE because the error depends on body size, and pTEEBMR was significantly correlated with TEEDLW but also included systematic errors in elderly residents. In order to improve the accuracy of the present assessment to estimate TEE, it is necessary to establish a new equation of basal metabolic rate for elderly residents and consider sex and movement means to estimate TEE.
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Affiliation(s)
- Yuki Nishida
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition
| | - Satoshi Nakae
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition.,Division of Bioengineering, Graduate School of Engineering Science, Osaka University
| | - Yosuke Yamada
- Section of Healthy Longevity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition
| | - Emi Kondo
- Section of Healthy Longevity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition.,Japan Institute of Sports Sciences
| | - Miwa Yamaguchi
- Section of Healthy Longevity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition.,Department of Epidemiology and Prevention National Center for Global Health and Medicine
| | | | - Hirohiko Hirano
- Dentistry and Oral Surgery, Tokyo Metropolitan Institute of Gerontology
| | - Satoshi Sasaki
- Department of Social and Preventive Epidemiology, Graduate School of Medicine, The University of Tokyo
| | - Shigeho Tanaka
- Department of Nutrition and Metabolism, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition
| | - Fuminori Katsukawa
- Institute for Integrated Sports Medicine, Keio University School of Medicine
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12
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Çekici H, Acar Tek N. Determining energy requirement and evaluating energy expenditure in neurological diseases. Nutr Neurosci 2018; 23:543-553. [DOI: 10.1080/1028415x.2018.1530180] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Hande Çekici
- College of Health, Department of Nutrition and Dietetics, Recep Tayyip Erdogan University, Rize, Turkey
| | - Nilüfer Acar Tek
- Faculty of Health Science, Department of Nutrition and Dietetics, Gazi University, Ankara, Turkey
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Abstract
PURPOSE OF REVIEW Recent advances in technology have changed the landscape of treatment for adults with mental illness. This review highlights technological innovations that may improve care for older adults with mental illness and neurocognitive disorders through the measurement and assessment of physical motion. These technologies include wearable sensors (such as smart watches and Fitbits), passive motion sensors, and smart home models that incorporate both active and passive motion technologies. RECENT FINDINGS Clinicians have evaluated motion measurement technologies in older adults with depression, dementia, anxiety, and schizophrenia. Results from studies in dementia populations suggest that motion measurement technologies can assist clinicians in diagnosing dementia earlier through the evaluation of gait, balance, and postural kinematics. Motion detection technologies can also be used to identify mood episodes at an earlier stage by detecting subtle behavioral changes. Clinicians may use the objective data provided by technologies such as accelerometers to identify illnesses earlier, which may inform treatment decisions. The data may be used as a suitable surrogate marker for detecting depression in older adults, predicting the likelihood of falls, or quantifying physical activity in older adults with chronic mental illnesses or anxiety. Motion-based technologies also have the potential to detect physical activity for older adults residing in nursing homes. Wearable technologies are generally well tolerated in older adults, although the use of new technology and electronic health data could involve privacy and security concerns among this vulnerable population.
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Casanova-Perez RA, Padilla-Huamantinco PG, De Freitas-Vidal CI, Choi YK. Home Behavior Monitoring Module in OpenEMR: Use of home sensors as Patient-Generated Data (PGD) for elderly care. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2018; 2017:2279-2283. [PMID: 29854268 PMCID: PMC5977615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Affiliation(s)
- Regina A Casanova-Perez
- Biomedical Informatics in Global Health Research Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Pierre G Padilla-Huamantinco
- Biomedical Informatics in Global Health Research Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Catharine I De Freitas-Vidal
- Biomedical Informatics in Global Health Research Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Yong K Choi
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, USA
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Use of statins and the risk of dementia and mild cognitive impairment: A systematic review and meta-analysis. Sci Rep 2018; 8:5804. [PMID: 29643479 PMCID: PMC5895617 DOI: 10.1038/s41598-018-24248-8] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Accepted: 03/29/2018] [Indexed: 12/16/2022] Open
Abstract
We conducted a systematic review and meta-analysis to investigate whether the use of statins could be associated with the risk of all-caused dementia, Alzheimer’s disease (AD), vascular dementia (VaD), and mild cognitive impairment (MCI). Major electronic databases were searched until December 27th, 2017 for studies investigating use of statins and incident cognitive decline in adults. Random-effects meta-analyses calculating relative risks (RRs) were conducted to synthesize effect sizes of individual studies. Twenty-five studies met eligibility criteria. Use of statins was significantly associated with a reduced risk of all-caused dementia (k = 16 studies, adjusted RR (aRR) = 0.849, 95% CI = 0.787–0.916, p = 0.000), AD (k = 14, aRR = 0.719, 95% CI = 0.576–0.899, p = 0.004), and MCI (k = 6, aRR = 0.737, 95% CI = 0.556–0.976, p = 0.033), but no meaningful effects on incident VaD (k = 3, aRR = 1.012, 95% CI = 0.620–1.652, p = 0.961). Subgroup analysis suggested that hydrophilic statins were associated with reduced risk of all-caused dementia (aRR = 0.877; CI = 0.818–0.940; p = 0.000) and possibly lower AD risk (aRR = 0.619; CI = 0.383–1.000; p = 0.050). Lipophilic statins were associated with reduced risk of AD (aRR = 0.639; CI = 0.449–0.908; p = 0.013) but not all-caused dementia (aRR = 0.738; CI = 0.475–1.146; p = 0.176). In conclusion, our meta-analysis suggests that the use of statins may reduce the risk of all-type dementia, AD, and MCI, but not of incident VaD.
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Moyle W, Jones C, Murfield J, Thalib L, Beattie E, Shum D, O’Dwyer S, Mervin MC, Draper B. Effect of a robotic seal on the motor activity and sleep patterns of older people with dementia, as measured by wearable technology: A cluster-randomised controlled trial. Maturitas 2018; 110:10-17. [DOI: 10.1016/j.maturitas.2018.01.007] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Revised: 01/11/2018] [Accepted: 01/12/2018] [Indexed: 10/18/2022]
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Morley JE. Editorial: Defining Undernutrition (Malnutrition) in Older Persons. J Nutr Health Aging 2018; 22:308-310. [PMID: 29484342 DOI: 10.1007/s12603-017-0991-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- J E Morley
- John E. Morley, MB,BCh, Division of Geriatric Medicine, Saint Louis University School of Medicine, 1402 S. Grand Blvd., M238, St. Louis, MO 63104,
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