Open access peer-reviewed chapter

The Complexity of Frailty: Psychological Mechanism and Therapeutic Interventions in Old People - A Narrative Review

By Francesca Romana Greco and Grazia D’Onofrio

Submitted: November 24th 2019Reviewed: April 22nd 2020Published: May 29th 2020

DOI: 10.5772/intechopen.92630

Downloaded: 348


Aging is a complex and dynamic process. Senses become less sophisticated and negative life events increase. These factors combined with medical conditions contribute to develop a degenerative functional autonomy of the elderly. This clinical condition is known as frailty. However, there is a difference in the way people live their silver years in terms of happiness and their sense of autonomy. Both being and feeling frail represent two different drives of cognitive representations concerning how the elderly live their lives. In addition, other factors such as cognitive stimulation, assistive technology and physical activity can support frail people to achieve independence. This chapter aims to provide an overview on how the psychological environment may affect frailty, suggesting a possible role of new technology’s solutions and physical activity as therapeutic interventions.


  • aging
  • frailty
  • emotion
  • assistive technology
  • psychology

1. Introduction

Aging is commonly defined as the accumulation of many deleterious changes in cells and tissues with advancing age that are responsible for the increased risk of disease and death (see Table 1 ) [1]*.

Table 1.


As a consequence of the extended life expectancy, older population is rapidly increasing all over the world [2].

Older adults may experience reduced mobility, chronic pain, frailty, major neurocognitive disorder and many other health problems affecting the quality of their life.

Furthermore, all these factors can lead to social isolation, loneliness or physical distress that may require long-term care [3]*.

To date, a great amount of data exists on frailty in older people, but few and conflicting data exist about the psychological mechanism of frailty and its preventability.

This narrative review aimed to analyze to which extent the psychological setting may improve frailty condition in elderly people.

This chapter also aimed to present a brief description of the main psychological models and interventions used in the clinical practice for the elderly.

Furthermore, we proposed a positive technology approach in order to assist elderly people using new technology solutions [4].


2. Methodology

We searched for publications dated between January 2015 and January 2020 (see Table 2 ) using keywords and medical subject headings termed as psychology of frailty in the elderly. We searched PubMed, Medline and Google Scholar database.

Table 2.

Flow chart of the literature selection.

Figure 1 shows the flow chart selection process. From the 1648 papers initially selected, 20 were found suitable to be included in the present review ( Table 3 ).

Figure 1.

Examples of casual and hardcore video games.

Table 3.

Summary of the included studies.

2.1 Possible limits of the review

Some possible limits of this narrative review can be found in the low prevalence of randomized clinical trial that has investigated classical or innovative psychological intervention for the frailty in elderly people.


3. Discussion

3.1 The complexity of frailty syndrome

Life expectancy has rapidly increased worldwide, from 461 million people older than 65 years in 2004 to an estimated of 2 million people by 2050 [5].

This has a severe impact on social care.

In addition, frailty is the most problematic expression of population aging because it is strictly interrelated to the physical system such as the endocrine, muscle, cognitive and respiratory.

From this background, two models were proposed in order to identify the concept of frailty in elderly patients.

Rockwood and colleagues have defined frailty as an accumulation of deficits.

One such example is the risk to develop dementia which increases in relation to problems with hypertension or diabetes in older adults [6].

It is becoming clear that a range of subclinical and clinical age-related deficits, which are themselves not recognized as disease-specific risks, are associated with a greater chance of common age-related illness in older adults [7].

On the other hand, the phenotype model suggests that five factors (weight loss, self-reported exhaustion, low-energy expenditure, slow gait speed, and weak grip strength) are associated with frailty [8].

What does it means being frail? And what characteristic defines a frail person?

Aging is arguably the most familiar yet least well-understood aspect of human biology, and it can be present in different stages of severity: From mild to severe [9]*.

It is characterized by a progressive impairment of functions, difficulties in environmental challenges, and a growing risk of death.

Clinicians suggest that frailty is a state of vulnerability in front of a stressful situation, and the consequences are a decline in health status [10].

Therefore, the risk of developing other negative life events including falls, delirium (a temporary condition characterized by the rapid onset of fluctuating confusion and impaired awareness) and disability could increase.

To date, the concept of frailty is well analyzed in the clinical setting, where it is considered as a potential negative factor of the patient’s clinical condition.

J. Hewitt and colleagues suggested that frail patients are likely to stay in the hospital longer than those that are not frail.

In fact, there is a linear relationship between the increase of clinical frailty index at admission and increase odds of day 90 mortality [11]*.

Frailty in old people becomes also evident in many complex physiological systems including cognitive functions.

Aging is characterized by structural and physiological changes in the brain.

The loss of individual neurons in most cortical regions is low, but neurons with high metabolic demands, such as the hippocampal pyramidal neurons, could be affected disproportionally by changes in synaptic function.

The hippocampus has been identified as an important mediator in the pathophysiology of cognitive decline and Alzheimer’s disease, and it is a key component of the stress response.

The aging brain is also characterized by structural and functional changes to microglial cells, which have an important role in the pathophysiology of delirium [12].

Accumulated evidence supports an association between frailty, cognitive impairment, dementia and Alzheimer’s disease [13]* [14].

In a prospective, observational cohort study, Boyle et al. show the hypothesis that physical frailty is associated with an increased risk of mild cognitive decline in aging [15].

In this study, more than 700 older people without mild cognitive impairment were involved.

Physical frailty, based on four components (grip strength, timed walk, body composition and fatigue) was assessed at baseline and cognitive function was assessed annually.

Proportional hazard models were used to examine the association of physical frailty with the risk of incident MCI, and mixed effect models were used to examine the association of frailty with the rate of change in cognition.

During up to 12 years of annual follow-up, 305 of 761 persons developed MCI. Moreover, a higher level of physical frailty was associated with an increased rate of decline in global cognition and five systems (episodic memory, semantic memory, working memory, perceptual speed and visual spatial abilities).

In addition, Jennifer and colleagues have evaluated the use of multicomponent frailty assessment tools in assessing frailty also in elderly patients with psychiatric disorders, comparing the items of each frailty assessment tool with the Diagnostic and Statistical Manual of Mental Disorder 5th Edition(DSM-5) criteria to assess the overlap.

The results suggested that there is a significant overlap between the indicators of frailty as conceptualized in frailty assessment tools and DSM-5 diagnostic criteria for a common psychiatric disorder including major depression episode and generalized anxiety disorder that has the potential to confound frailty assessment results [16]*.

3.1.1 Evaluation tool

In order to establish frailty, reliable models should be assessed for their success in predicting therapeutic interventions [17]*.

As we previously described above, there are two main geriatric models: The phenotype model [8] and the cumulative deficit model, which form the basis of the Canadian study of health and aging (CSHA) frailty index [18].

This chapter aims to go deep under the knowledge of these models and explore how do these models are used in the clinical practice.

A frailty phenotype was established with five variables: Unintentional weight loss, self-reported exhaustion, low-energy expenditure, slow gait speed and weak grip strength.

The Fried frailty criteria could help healthcare professionals to identify and efficiently treat frail older people in an efficient way and also contribute to provide indications for other related problems (social, psychological and physical functioning).

In a study of 5210 men and women aged 65 years and older, Fried and colleagues conducted a famous study that is known as the milestone study of the phenotype model [19]*.

A frailty phenotype was established with the five variables: Unintentional weight loss, self-reported exhaustion, low-energy expenditure, slow gait speed and weak grip strength.

People with Parkinson’s disease, previous stroke, cognitive impairment or depression were excluded.

Those with three or more of the five factors were judged to be frail, those with one or two factors as pre-frail and those with no factors as not frail.

This work is important because it suggests that a frailty phenotype can be defined and might be a basis for detection of frailty in routine care.

However, how the variables can be reliably translated into clinical practice is not clear.

Furthermore, other important factors such as cognitive impairment, a prevalent condition associated with functional decline, were not included as part of this model.

Despite the criticism, the general approach of clusters of variables to define frailty phenotype has been independently validated.

The frailty index was developed as part of the CSHA study [18].

10,263 people were involved, and it was designed to investigate the epidemiology and burden of dementia in elderly people in Canada.

92 baseline variables of symptoms (e.g. low mood), signs (e.g. tremor), disabilities and abnormal laboratory values (referred to as deficits) were used to define frailty.

The frailty index was a simple calculation of the presence or absence of each variable.

The frailty condition is defined as the cumulative effect of individual deficits.

Additionally, the cumulative deficit model expresses the theory of a gradation of frailty with progressive accumulation of deficits.

This model is clinically attractive because it presents frailty as gradable, rather than present or absent.

3.2 Comprehensive geriatric assessment

Clinicians and researchers need valid and accurate methods to assess and identify frailty.

Comprehensive geriatric assessment (CGA) [20] (see Table 1 ) has become an internationally established method to assess elderly people in clinical practice.

This method is the goal standard to assess frailty.

It is a process that specializes the elderly care delivered by a multidisciplinary team (psychologists, nurses, occupational therapists, and geriatricians) to establish functional psychological functions and a plan of treatment [21]*.

Besides, as aging is a process that leads to conditions of vulnerability to mortality and severe stress, also for the caregiver’s multidisciplinary approach, programs of prevention should be proposed.

How do clinicians identify frailty in the clinical practice?

More specifically, many types of test are used to evaluate the state of frailty in elderly people.

Among them, the timed up and go test (TUG) and the Edmonton Frail Scale are commonly used for screening the evaluation of frailty.

The TUG test is a simple and specific method to test functional mobility.

This test is easily included as part of the routine medical examination.

This test assesses many dimensions of frailty and requires no specific equipment or training.

Each singular patient is observed and timed, while he/she rises from an armchair, walks 3 m, turns, walks back, and sits down again.

The results indicate that the “up and go” test is a valid test to quantify frailty [22].

Moreover, the Edmonton Scale is a multidimensional scale assessment instrument that includes the timed up and go test and many other tests in order to evaluate cognitive impairment (see Table 1 ).

The test lasts less than 5 minutes and is a valid instrument.

To underlie the negative effects of frailty and the use of Edmonton Frail scale as a multidimensional assessment, an original study was conducted.

Beecher MS and colleagues conducted a retrospective analysis based on 435 elderly patients.

This study aimed to evaluate the probability of early readmission and length of hospital stay, using the Edmonton Scale and the age-adjusted Charlson comorbidity index.

The results suggest that the Edmonton Scale was a significant instrument to predict hospital readmission and length of stay [23]*.


4. Emotion and frailty

Social isolation or being socially lonely could have a severe impact on the psychological health of the elderly.

Therefore, it is necessary to support the elderly in order to prevent them from mood disorders.

Importantly, depression merits special attention because it can have negative consequences, including increased burden of physical illness, cognitive impairment and risk of suicide [24]*.

Living alone, not having a friend to confide in and not spending time with others could have a severe impact on psychological well-being.

Being both active and socially involved are very important for frail patients; therefore, emotions (see Table 1 ) and affective recognitions may play a crucial role during aging.

Moreover, neuropsychological functions are strictly connected with perceptions of satisfaction of life and emotion recognition.

To date, existing literature suggests that age affects emotion recognition.

Does aging affect emotion detection during their life span?

Being socially involved in a relationship, cooperating with others, understanding and reacting appropriately to the social signals sent out by other people determine social perception abilities.

Being able to decode emotional expressions is an important and essential skill to navigate through the social world and to guide appropriate behavior.

Meyer and colleagues propose that social perception is a powerful dimension of emotional intelligence as mental ability including personal and social intelligence [25].

Prosocial behavior is involved in being able to establish a social relationship [26].

However, old people respond differently to emotional stimuli in everyday life.

Little is still known about the emotion recognition of the elderly and how these are linked with the changes in social life during the life span of people.

Ruffman and colleagues examined 60 young and 61 older adults’ recognition of emotions in facial, vocal, bodily expression and when matching faces and bodies to voices.

Older adults were worse than young adults, reporting difficulties in recognizing both positive and negative vocal and bodily expression.

In addition, they found that older adult’s difficulty in matching emotions was explained by an additional problem of integration [27].

Social perception is a key factor to understand and react at the social signal sent out by other people.

Also, as people grow older, they prioritize close social relationships and focus more on achieving emotional well-being; therefore, the elderly became more selective in what and in where they invest their emotional resources.

It should be noted that most emotions that are decoded from people are not static but dynamic.

Dynamic facial cues improved recognition of facial emotions for both younger and older adults.

In addition, these results could also explain why many elderly have difficulties to recognize emotion which appear stable [28].

Neuroscientists suggest that also gender differences could be involved in emotional regulation and recognition of emotions.

More specifically, the amygdala is essential for enhanced long-term memory associated with emotional events.

There is a strong relationship between men and women in the activity of the right hemispheric of the amygdala and memory functions regarding emotional material [29].

4.1 Cognitive compensatory strategies in ageing

During aging, the old people could be affected by cognitive impairment and dementia disease.

This means that many cognitive domains like attention, memory and also mood state could be affected [30]*.

The relationship between depression and frailty remains one of the common problems of the elderly [31]*.

Besides, many changes in the health of elderly result from both intrinsic and extrinsic factors, such as social vulnerability [32]*.

However, cognitive declines take place over a long time, and during this lapse of time, the elderly can adopt to many cognitive strategies to manage stressful situations (e.g. cooking, providing self-care, etc.), while fragility and risk of fall are two negative predictors of well-being [33]*.

Many researchers from France conducted an innovative study on this topic, comparing the drivers’ performances on a driving simulator between 12 elderly (between 65- and 78-year-olds) and 18 younger people (between 21- and 35-year-olds) [34].

They compared their self-assessment of driving as well as their visual and cognitive strategies.

Finally, they assessed their driving competencies and self-regulation practice using a simulator.

This research sheds some additional point on the ability to self-regulate the behaviors of the elderly, which could reduce the risk of being injured and to prevent from social isolation, for example, increasing the safety distance from the vehicle in front when reflexes decrease.

Previous research on this matter found that elderly drivers self-regulate by engaging less frequently in secondary tasks (singing or talking) when the driving task is more difficult.

In this way, they reduce the cognitive cost of sharing attention between two tasks [35].

More specifically, in older people, cognitive strategies are used to solve problems of daily life living.

Being able to self-regulate our mood state and cognitive functions is essential to make sense and meaning of life.

Furthermore, the ability to reflect on how important it is to live these silver years in terms of happiness and quality of life could have a great impact on the subject of well-being.

Therefore, understanding and enhancing these cognitive strategies could be crucial to support people in developing many coping methods.

In addition, a positive technology approach could be useful to identify and solicit cognitive competencies.


5. Positive technology for healthy living and active ageing

“Positive technology” (see Table 1 ) approach is a scientific and applied approach to the use of technology for improving the quality of our personal experience through its structuring, augmentation and replacement [36].

Aging is associated with a decline in mental, physical, functional activity and well-being; therefore, it is necessary to promote active behavior in contrast to sedentary behaviors [37]*, [38]*.

However, promoting well-being in old people lifestyle interventions is commonly used to improve their quality of life.

Furthermore, technology could have an important role in supporting elderly living and healthy and active aging.

Developing technological systems and applications to promote personal growth, creativity and social support should be done by psychology.

Specifically, positive psychology is a psychological approach, which focuses on the biopsychological aspects of cognitions, emotions and positive experiences [39].

Martin Seligman is considered as the pioneer of positive psychology.

He identified “three pillars” of the good life in his book titled Authentic Happiness[40]*:

  • The pleasant life: Achieved through the presence of positive emotions.

  • The engaged life: Achieved through pleasant activity.

  • The meaningful life: Achieved through the ability to discover meaning and a purpose in life.

According to positive psychology, positive technologies are classified in three dimensions [41]:

  • Hedonic dimension: Technologies are used to induce positive experiences.

  • Eudaimonic dimension: Technologies are used to support people in reaching engaging and personal experiences.

  • Social/interpersonal dimension: These types of technologies are used to improve social integration and be part of a social group providing relational well-being.

The use of positive technology brings an advantage in cognitive stimulation technologies beyond traditional healthcare.

In virtual reality, the serious game could engage the attention of the elderly.

In addition, thanks to a positive technology approach, it is possible to change from a “disease-centered” to a “citizen-client” model, based on the engagement of the elderly [42].

5.1 The effect of technology interventions on reducing social isolations

Social isolation is one of the major risk factors of mental and physical health for the elderly [43]*.

However, many authors have investigated the role of technology as a new potential intervention to prevent social isolation.

Assistive technology could contribute to improving their quality of life, living independently at home.

Assistive technology includes many devices, which support people in their independent living [44]*.

To date, smartphone and smart applications are the most common device involved in assistive technology [45].

Using smartphone includes many advantages: Flexibility, user friendly, various built-in sensors and connectivity options.

These technological devices make possible the development of new solutions for the elderly.

Going deep under the use of technology, several studies proposed the role of video games as powerful tools for cognitive training and well-being of the old people.

In fact, during the past years, video games were not designed to support people or for specific improvements on cognitive domains, but recent research finds out that they could be a valid instrument to help people with specific cognitive training and brain exercise.

Generally, there are two types of video games: Hardcore and casual video games (CVGs).

Hardcore video games are harder to play; they are usually played for a long time period.

However, hardcore action video games were mostly used in most research during the past years to study the improvement of perceptual and cognitive abilities in the younger audience.

Furthermore, the interaction between old people and this type of video games could be very difficult.

First, learning how to play an action video game could be very difficult and challenging for the elderly, and secondly, as many authors suggested, the elderly usually dislike action video games, especially when they have violent content [46].

To sum up, all these results suggest that the elderly could be less motivated to be involved trough action video game interventions which are less attractive.

On the other side, casual video games (CVGs) have short play session and are an easy task to be played, and this is the reason why they are mainly a target for old people improving cognitive functions and emotional well-being [47].

Different CVG genres engage different perpetual and cognitive functions, and it is important to understand the logical process under these video games to improve specific cognitive abilities [48].

In order to understand better which CVGs are more suitable and enjoyed by the elderly, many authors from Switzerland have studied what older people like to play [49].

In this study, Chesham and coworkers [48] have evaluated 16 healthy older adults (5 females and 11 males) aged between 65- and 84-year olds coping with games.

All the participants have no deficit vision, and exclusion criteria were a diagnosis of dementia, mild cognitive impairment, and motor impairments leading to inability to manage a tablet computer.

Finally, all participants were informed about the procedure of the study and signed for the informed consent.

We examined casual game enjoyment and game characteristics across a range of four genres (casual action, casual puzzle, casual simulation and casual strategy games) based on different cognitive functions in healthy older adults.

The results of this study suggest that tablet-based casual games have been enjoyed by the elderly.

A possible limitation of the study was that all the subjects were healthy and well-motivated to participate in the research.

No prior game experience was considered as possible bias in the obtained results.

5.2 A social virtual reality-based applications: The physical and cognitive training of the elderly

Virtual reality is an interactive and immersive experience that can be used to transport patients to a place beyond the clinical setting.

Patients can experience realistic, three-dimensional worlds that aim to not just reduce the stress and anxiety of a clinic visit but also teach patients’ and the clinicians’ new skills [50].

Generally, virtual reality is usually used to enhance many cognitive abilities (attention) in clinical disease.

Because virtual reality is an interactive method, it is mostly involved in rehabilitation and education in children [51].

It leads the opportunity to work on creating a new virtual world.

There have been several numbers of software created to deflect the minds of patients and focus more on virtual reality worlds that can help them to relieve stress and to stimulate cognitive functions.

Virtual reality-based cognitive stimulation can also be used to improve cognitive functions in critically ill patients, and most research involved the elderly population [52]*.

This tool could be a valid instrument to prevent the patients from the overload of disturbing extra-stimuli, especially during the hospitalization period.

Furthermore, thanks to virtual reality, it is possible to select natural restorative environments with neutral content.

Generally, there is a distinction between virtual environments (VE) and virtual world (VW).

In virtual environments, people could see characters and objects interacting with them in a realist way in real time.

On the other hand, virtual worlds consist of a social world that is more stable, where people could interact with other users using an artificial avatar [53].

One challenge in using VR stimulation in old people especially in a critical situation is to engage their attention in a suitable and relaxing scenario [54].

Many authors suggested that visual exposure to the natural environment (e.g. landscapes, vegetation and water) has a protective role against stress, restoring physiological, emotional and attention functions [55].

The attention restoration theory suggests that exposure to natural environments combined with sounds has a relaxing effect.

The attention request from the clinical setting is lower, and this promotes a sense of being away, stimulating less cognitive domains.

This has a crucial role in cognitive abilities because it allows the attention capacity to be restored [56].

Chirico et al. focused on the level of immersion given by this experience.

They found out that exposure of VR nature environment stimuli can trigger a parasympathetic activation, inducing strong emotion and a vivid sense of scene [57].

Gerber and colleagues [58] conducted an interesting study in order to investigate how virtual reality could help to relax in the intensive care unit.

In this study, three different nature VR videos (landscape, water worlds and animals) were presented.

To measure the visual exploration behavior (e.g. where the patient “looks at” and whether the eyes are open), the video-oculography was used.

Furthermore, to measure participant’s reactions to the virtual reality stimuli, many vital parameters (heart rate, blood pressure, etc.) were recorded while the videos were presented to the patients.

The results suggest that in line with previous studies, the exposure to virtual nature environments produced a relaxing effect.

In fact, all vital sign measurements (heart frequency, respiratory frequency) significantly decreased during the session of virtual reality.

This could show a positive link between VR and the reduction of psychological stress.

In addition, no fatigue in visual exploration task and target stimulus has affected the visual exploration behavior.

Finally, the VR scenario was accepted by all the participants of the study and the possibility to be adapted for use in frailty patients.


6. Future perspective of research and the potential benefit of the use of the proposed model in the clinical setting

The aging population is increasing, making a critical impact on social care.

Therefore, from our point of view, it is necessary to consider new potential solutions as a therapeutic instrument to help frailty people.

A potential benefit solution comes from positive technology.

The aim of this approach is contributing to the development of well-being for the elderly and allows them to maintain their autonomy in their activities of daily living.

It is necessary to consider that positive technology could have a positive effect on the psychological well-being of the elderly in an alternative way from the classical therapeutic intervention which has already been used.

Also, taking together the main geriatrics models and deep comprehension of the cognitive and emotional functions of the older gives the clinicians an opportunity to embrace multiple disciplines.

It is crucial to consider many different aspects of the aging process from a different point of view (medical, psychological and engineering).

This multidisciplinary approach gives the clinicians the opportunity to develop and implement an innovative cognitive rehabilitation program providing to the elderly strategies to increase motivation and social relationship in every clinical setting.

In conclusion, future research should be focused on the importance of technology as an instrument that could be used by the clinicians, the elderly patients and especially their family to reduce the distance between them.

It has to be considered that most of the frailty elderly are in critical conditions and live in nursing homes away from their family.

Positive technology could represent a bridge of hope between them and their families, contributing to keeping alive a sense of community and the joy of sharing their emotions.


7. Conclusion

The basic objective of this book chapter is to briefly describe the complexity of aging, the impact of cognitive representation on emotions and life events, and the role of new technology’s solution and physical activity as therapeutic interventions.

These results confirm the importance of considering multidimensional aspects of the aging process (psychological mechanism and physical structures).

Taking together there are really good changes that in the near future will be possible to help many humans to live healthy aging.

© 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Francesca Romana Greco and Grazia D’Onofrio (May 29th 2020). The Complexity of Frailty: Psychological Mechanism and Therapeutic Interventions in Old People - A Narrative Review, Frailty in the Elderly - Understanding and Managing Complexity, Sara Palermo, IntechOpen, DOI: 10.5772/intechopen.92630. Available from:

chapter statistics

348total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Crime against Elderly Women in India

By Avanish Bhai Patel

Related Book

First chapter

Introductory Chapter: Neuroscience Wants Behavior

By Sara Palermo and Rosalba Morese

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More About Us