Measurements of Daily Energy Intake and Total Energy Expenditure in People with Dementia in Care Homes: The Use of Wearable Technology

Improving nutrition and hydration in older people with dementia in care homes

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.

The Effect of Food Odor Exposure on Appetite and Nutritional Intake of Older Adults with Dementia

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.

Wearable GPS and Accelerometer Technologies for Monitoring Mobility and Physical Activity in Neurodegenerative Disorders: A Systematic Review

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.

Review of Technology-Supported Multimodal Solutions for People with Dementia

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.

Understanding total energy expenditure in people with dementia: A systematic review with directions for future research

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.

Temporal trends in nutrition intake among older long-term care residents

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.

Corrigendum: Evaluation of Wearable Technology in Dementia: A Systematic Review and Meta-Analysis

[This corrects the article DOI: 10.3389/fmed.2020.501104.].

Wearables bei Demenzerkrankungen

Demenzerkrankungen 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.

Evaluation of Wearable Technology in Dementia: A Systematic Review and Meta-Analysis

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.

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)

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 (TEE_DLW), and predicted by one-day physical activity recall using the basal metabolic rate (pTEE_BMR) and body weight (pTEE_BW). The TEE_DLW, pTEE_BMR and pTEE_BW 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 pTEE_BMR and TEE_DLW (p<0.05). Percentage of fat mass, body weight, and Barthel Index except mobility explained 47.3% of the variance in the difference between pTEE_BW and TEE_DLW (p<0.05). The current results suggested that pTEE_BW is not recommended to estimate TEE because the error depends on body size, and pTEE_BMR was significantly correlated with TEE_DLW 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.

Mapping Movement: Applying Motion Measurement Technologies to the Psychiatric Care of Older Adults

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.

Use of statins and the risk of dementia and mild cognitive impairment: A systematic review and meta-analysis

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 27^th, 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.