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  • Review
  • Open Access

13 December 2018

Frailty as the Future Core Business of Public Health: Report of the Activities of the A3 Action Group of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA)

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1
Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy
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International Healthcare Programs, Lombardy Region/LISPA, 20124 Milan, Italy
3
Unità Operativa Dipartimentale 14 Promozione e Potenziamento dei Programmi di Healths Innovation, Direzione Generale per la Tutela della Salute ed il Coordinamento del Sistema Sanitario Regionale, Regione Campania, 80143 Naples, Italy
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Dipartimento di Scienze Mediche Traslazionali, Università degli Studi di Napoli Federico II, 80138 Naples, Italy
This article belongs to the Section Health Care Sciences & Services

Abstract

Background: The prevalence of frailty at population-level is expected to increase in Europe, changing the focus of Public Health. Here, we report on the activities of the A3 Action Group, focusing on managing frailty and supporting healthy ageing at community level. Methods: A three-phased search strategy was used to select papers published between January 2016 and May 2018. In the third phase, the first manuscript draft was sent to all A3-Action Group members who were invited to suggest additional contributions to be included in the narrative review process. Results: A total of 56 papers were included in this report. The A3 Action Group developed three multidimensional tools predicting short–medium term adverse outcomes. Multiple factors were highlighted by the group as useful for healthcare planning: malnutrition, polypharmacy, impairment of physical function and social isolation were targeted to mitigate frailty and its consequences. Studies focused on the management of frailty highlighted that tailored interventions can improve physical performance and reduce adverse outcomes. Conclusions: This review shows the importance of taking a multifaceted approach when addressing frailty at community level. From a Public Health perspective, it is vital to identify factors that contribute to successful health and social care interventions and to the health systems sustainability.

1. Introduction

In almost every European country, life expectancy is increasing and the proportion of people aged over 60 years is growing faster than other age groups. While undoubtedly something to be celebrated, this represents a significant challenge to public health planners and policy-makers. “Active Ageing” is an increasingly important issue in the political discussion, both at national and international levels [1]; it is described as “the process of optimizing opportunities for health, lifelong learning, participation and security to enhance quality of life (QoL) as people age” [2]. This definition reinforces the positive aspects of ageing, highlighting the importance of environmental and behavioral factors that account for variability within the ageing process as well as the role of an individuals’ “intrinsic capacity” (mental and physical capacities that change along the years) [3,4]. Most importantly, the concept of active ageing has been a driver for the implementation of an increasing number of health-promoting programs all over the world, especially in Europe [5]. However, Healthy Life Expectancy, which can be considered a proxy indicator for Active Ageing, is generally developing slower than life expectancy and in some European Union countries decreased between 2010 and 2015 [6]. Prevention seems to be proportionally less effective than clinical care and preventive strategies are poorly adopted in many countries [5,7,8].
In 2010, the European Commission launched the “European Innovation Partnership on Active and Healthy Ageing” (EIP on AHA) as a pilot project to bring together public and private stakeholders through thematic and synergic action groups with the aim of increasing by two the number of healthy life years of European citizens [1]. The EIP on AHA had three main purposes:
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Improving health and QoL of older adults;
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Improving the efficiency and sustainability of health systems;
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Strengthening the competitiveness of European industry by investing in innovative products and services in the field of health and ageing [9].
The partnership brings together approximately 1000 stakeholders from all EU member states, and other countries outside the EU, working in six Action Groups, within a vertical structure that helps provide the EU with a multifaceted and inclusive strategy on ageing [10,11,12,13,14,15,16,17] and Reference Sites, which are quadruple helix-based ecosystems deeply interconnected with the EIP on AHA action groups [18,19]. The A3-Action Group “on Lifespan Health Promotion & Prevention of Age-Related Frailty and Diseases” proposes good practice models to achieve and support the healthy ageing of European citizens using a bottom-up approach targeting the prevention of frailty and subsequent functional decline [12]. The purpose of this paper is to report on the results of the A3 Action Group activities that specifically focus on frailty and public health in community-dwelling older adults (see Figure 1) [20].
Figure 1. The structure of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA).

2. Methods

This report adhered to guidelines outlined in the PRISMA statement. Studies were selected according to the PICOS format: Population (community-dwelling people aged more than 65 years); Intervention (Public Health interventions to mitigate frailty); Comparison (not available); Outcome (frailty and its consequences); and Study design (reviews, longitudinal studies, retrospective studies, experimental studies, impact studies).
This report reviews papers published, or submitted and accepted for publication by the A3 Action Group between January 2016 and May 2018 and written in English. The current membership of the A3 Action Group is based on two open calls to participate, launched by the European Commission on 2011 and 2015; respondents participated on a voluntary basis. [12].
A three-phased search strategy was used to select suitable papers (see Figure 2).
Figure 2. Flow chart of the search method.
Studies, reports or other contributions (e.g., web page entries or blogs) were included if they were related to public health aspects of frailty and ageing, including approaches to addressing frail community-dwelling older adults in EU countries and were written by members of the A3 Action Group.
The search strategy included three phases: initially, two researchers created a preliminary draft list of published works. This list of papers was formed by the titles submitted by members and registered on the online commitment tracker tool [20]. Subsequently, a third researcher eliminated papers on the basis of the year of publication and the title (if not related to public health). Finally, six researchers excluded irrelevant papers after reviewing the abstracts. In the second phase, to maximize the number of contributions and avoid missing suitable papers, a search of PubMed, Scopus and the Google Scholar database was performed; the search used the names of selected authors suggested by the Action Group Coordinators, in addition to the following key words: “public health”, “frailty”, “comorbidity”, “quality of life”, “determinants”, “social determinants”, “community-based”, “active ageing”, “questionnaire”, “caregiver”, and “prevention”. Two researchers evaluated the results examining the title and abstract of the papers identified by this search. Finally, in the third phase, the first manuscript draft was sent to all A3-Action Group members who were invited to suggest additional contributions to be included to the manuscript.
The number of papers eligible for inclusion was 71, of which 34 were excluded for the following reasons: only focused on a specific topic or illness, such as “frailty and cancer”, “frailty and thigh-bone fracture” and “frailty and osteoarthritis” (16/34); papers addressing older populations but not specifically frailty, for example the discrimination of health status and nutritional habits (7/34); papers focused on EIP on AHA or frailty status but not both (6/34); studies conducted exclusively in countries not part of the EU (4/34); and studies on animal models, for instance on guinea pigs (1/34). The manuscript draft included 37 papers, to which, 19 papers were added in the third phase. The final report included 56 papers.

3. Results

The selection process produced 56 papers, divided into the following categories:
(1)
Frailty screening tools (8/56)
(2)
Assessment of frailty and main associated factors at community level (30/56)
(3)
Intervention protocols (13/56)
(4)
Impact studies (5/56)

3.1. Tools to Screen Frailty in Community-Dwelling Older Adults

In the A3 Group, three tools have been developed of which two validated (Table 1).
Table 1. Tools to assess Frailty or Quality of Life developed within the activities of the A3 group.
The Reference Sites Network for Prevention and Care of Frailty and Chronic Conditions in community-dwelling persons of European Union (EU) Countries (SUNFRAIL—project 664291) was a project aimed at improving the identification, prevention, and management of frailty and multi-morbidity in community-dwelling older adults in six EU countries. A specific goal of SUNFRAIL was to design an integrated model for preventing and managing frailty and multi-morbidity. It also aimed to develop the required instruments to support related clinical tasks [21,22]. In this framework a multidimensional check-list composed of 9 items (including pharmacotherapy, falls and loneliness) was developed [23]. It stands out from other tools by the absence of a rating scale component. In fact, it is based on the number of alerts associated with each item identified by the questionnaire itself, which is quite a new concept in the assessment of frailty; a first assessment of the reliability of the questionnaire has been performed comparing the alerts generated with the scores of the Loneliness scale, the Mini Mental State Examination and Walking Speed.
The Risk Instrument for Screening in the Community (RISC) is a screening and assessment risk-prediction instrument that was developed as part of the COLLaboration on AGEing (COLLAGE), to rapidly screen and stratify community-dwelling older adults attending Public Health Nursing Centres, according to their perceived risk level. This tool includes demographic data and records the presence (yes or no responses) and magnitude (mild, moderate and severe) of concern across three domains: mental state, activities of daily living (ADL) state and medical state. The instrument was designed for use by Public Health Nurses (PHNs) (i.e., community nurses). It measures one-year risk of hospitalization, institutionalization and death in community-dwelling older adults according to a five-point global risk score: from low (RISC score: 1, 2), medium (RISC score: 3) and high (RISC score: 4, 5). The RISC requires a specific enhanced training program and includes booster sessions to guarantee the correct risk assessment and the inter-rater reliability (IRR), as inadequate training might underestimate or overestimate the risk [24]. As part of the A3 action group it has been validated in community-based samples in several EU and non-EU countries [25].
The third tool is the Short Functional Geriatric Evaluation (SFGE) questionnaire that was derived from the Functional Geriatric Evaluation (FGE). The FGE is validated to predict adverse outcomes among older adults in the short–medium term. The items of the larger FGE included in the SFGE were selected by matching each FGE item with the Use of Hospital Services (UHSs), including hospital admissions, day hospital accesses and Emergency Room visits not resulting in admissions. The SFGE is not only shorter than the FGE questionnaire (smaller number of questions), but it also places a greater emphasis on socio-economic items, which are strongly related to the use of services by community-dwelling older adults. The SFGE cut-off score for frailty included the construct of pre-frailty in order to identify the entire population generating the highest demand for care services [26].
Frailty screening and assessment is a fundamental issue in public health to allow for the planning of prevention programs and preventative services. Staff can be trained easily how to score these tools, all of which can be administered at community level, in primary social or health care settings. The debate around the appropriateness of tools for frailty screening is still ongoing [27,28] with insufficient evidence for screening, monitoring or surveillance programs at population level in Europe. All the tools developed by A3 Action Group members considered the biopsychosocial dimension of frailty, which is particularly important at community level. They were all useful in predicting negative outcomes in the short–medium term. An umbrella review conducted by A3 Action Group researchers of tools to screen for frailty, published before the validation of these new instruments, did not find any short multidimensional screening tools suitable for use by public health practitioners at population level [29]. The proposed tools represent a crucial contribute towards the feasibility of frailty screening in large population at community level. Given this, the tools developed as part of the EIP on AHA represent a crucial contribution towards developing valid frailty screening instruments for epidemiological studies.

3.2. Assessment of Frailty and Associated Predictors at Community Level

The main goal of this section is to identify epidemiological factors useful in planning optimal social and health care services and interventions for frail older people. The main characteristics of the studies published by A3 Action Group members are summarized in Table 2.
Table 2. Frailty and associated predictors.

3.2.1. The Prevalence and Predictors of Frailty

In a sample of Italians aged over-64 years and representative of a regional geographic area which included the capital city of Rome, the prevalence of frailty was 21.5%; it increased to 31.8% when only those aged over-74 were considered [28]. Many variables were closely associated with frailty such as the level of disability and presence and type of those cohabitants. “Living with a spouse” and “having a high educational level” were important protective factors against developing frailty [30].
Frailty was also associated with higher use of hospital services and mortality; the group showing the highest rate of use was a cluster made up of pre-frail and frail individuals [29]. The major determinants of rates of UHSs were the functional, the psychological and the socio-economic domains; the presence of specific cardiac and renal diseases were associated with a higher use of hospital services only among the frail/very frail [31]. Mortality was related to a low socioeconomic status and to a low level of psychosocial supports [32].
A better understanding of the main determinants of care was provided in a Portuguese study showing that the presence and the magnitude of mental health concerns scored on the RISC were associated with higher rates of institutionalization from the community [33]. Participants in nursing homes had a higher proportion of mental health conditions and cognitive impairment, in particular severe mental health concerns. After exploring the relationship between the type of care services (nursing homes, day centres and home care services) and the perceived risk of adverse outcomes (institutionalization, hospitalization and death), the research group observed that the highest risk of hospitalization and death was among nursing home residents: those in nursing homes had a higher risk of hospitalization and death (84.3% and 80.9% respectively) than persons receiving home care services (64.3% and 54.4% respectively) and attending day centers (64.4% and 57.8% respectively). Those attending day care centres had a greater risk of institutionalization than home care service users [33]. The risk of adverse events in nursing home residents depended on correct allocation and type of services offered. These should receive an evaluation based on social criteria, but also an assessment of their physical and mental requirements to ensure the allocation of adequate assistance from appropriate staff. The use of a pre-screening tool could, therefore, not only identify the most appropriate setting it could improve allocation of limited resources, potentially reducing the occurrence of negative health outcomes [33].

3.2.2. Frailty and Multimorbidity

The evidence found supports the notions that older adults affected by multimorbidity have lower QoL, a higher number of medical visits, a greater risk of impairments in basic and instrumental ADL and more hospital admissions [34]. For these reasons, multi-morbidity is identified as a major determinant of high health care service use and is associated with the development of frailty [30,33,34,35]. However, the stability of disease and its impact on socio-functional factors is a better predictor of the risk of death than the number or type of chronic diseases [31,34,36]. Overall, these results show the relevance and impact of an individuals’ functional and socio-economic status on their use of health services, i.e., these are more important than the type of disease. Thus, preventive actions taken by public health institutions to manage multi-morbidity that focus on broader psychosocial and functional factors can impact on frailty and improve the QoL of older community-dwellers [37].

3.2.3. The Caregiver Network

The growing role played by caregivers in addressing frailty at population-level is evident from a large meta-synthesis recently published by A3 researchers as part of the EU-funded Frailty Management Optimisation through EIP-AHA Commitments and Utilisation of Stakeholders Input (FOCUS—project 664367) study.
According to this, the provision of care must involve the entire caregiver network, both formal and informal, to identify needs and best coping strategies [38]. The results of a Portuguese study showed a strong association between the risk of death and the ability of carers to manage older adults’ healthcare requirements: the perceived risk of death was 65 times higher in cases where the caregiver was unable to manage either mental concerns, physical concerns and/or ADL impairments [36]. Furthermore, an increased risk of elder abuse was observed in the informal caregiver network in case of the highest complexity of the care needs [39].
The presence of a spouse was “protective” against institutionalization within one-year of assessment, while the use of formal caregiver resources (state or privately funded) ensured better management of those with complex care needs [40].
The perception of policy-makers was also highlighted by a qualitative study, which shows the need for integrated public health approaches to manage frailty [41]. The role of training seems to be crucial in supporting informal caregivers; it should be a main focus for formal health services in order to support society in taking care of older relatives/friends [41].

3.2.4. Frailty and Quality of Life

Multiple associations have been identified between psychological and mental discomfort and social factors contributing to higher levels of frailty and lower QoL by A3 researchers. Impairment in cognitive function is strongly related to frailty and is associated with impaired awareness of disease (insight), depression and disinhibition [42] while cognitive reserve (the ability of the brain to develop alternate cognitive strategies to solve a problem despite impaired cognition) is related to a better QoL [43,44,45]. Furthermore, anxiety and depression were associated with physical disability, lower QoL and a high health service uses (i.e., hospitalization in the last year, number of medical visits) [46].
Males seem to benefit from social support, while women benefit most from social and cultural participation [43,47,48]. Social support and participation are both associated to better QoL and lower levels of frailty. Lower socio-economic status is also correlated with higher mortality and is connected with poor social supports [32]. Regarding loneliness (the subjective perception of social isolation) and social isolation (an objective and measurable condition), a close relationship was highlighted between isolation and psychological well-being and resilience (ability to adapt to change) [48], health status [49] and a poor social network, living alone [50]. This strong relationship between psycho-social factors, frailty and QoL was also studied using the World Health Organization Quality of Life Assessment AGE (WHOQOL-AGE) scale, used to compare the QoL of older and younger adults [51].

3.2.5. Frailty and Nutrition

Good nutrition plays an important role in ensuring healthy ageing. This topic was explored in a recent study where approximately 23% of Portuguese community-dwelling older adults reported food insecurity, in particular those aged 70–74 years. The prevalence of the food insecurity was higher among women, older adults who were overweight/obese and in those with low household incomes [52] and was also associated to stopping medication and decrease in medical visits.

3.2.6. Physical Ability: Mobility and Physical Activities

In an effort to identify the physio-pathological background leading to the onset and progression of physical frailty, the association between sarcopenia and potential risk factors and biomarkers have been studied [53,54]: Pre-frailty, being overweight and depression are identified as significant risk factors for frailty [53]. Being overweight is associated with the development of important alterations in muscle mass and function in robust older people that significantly contributes to subsequent frailty [54]. Based on the analysis of the underlying physio-pathological mechanisms, the same research group found that melatonin use might limit or slow sarcopenia [55] and the progression of frailty. A recent study found that a per-unit improvement in mobility was significantly associated with a 2% reduction in the risk of death, while practicing a high level of physical activity (PA) was significantly associated with a 51% lower risk of death [56]. Furthermore, an appropriate amount of PA and high mobility levels are connected to better functional capacity [57] and a lower risk of death [56], while sedentary behaviors are highly prevalent among older adults and associated with increased risk of physical dependence [58,59]. Improvement in physical performance is also related to a reduction in the risk of institutionalization [60].
In conclusion, based on the results of the selected studies, frailty and its major determinants are related to increased health services use and health costs as well as a reduction in QoL and negative health outcomes. At the community level factors leading to the development or worsening of frailty are multidimensional and include psychophysical, environmental and social components. In order to prevent the onset of frailty, Public Health should invest in interventions or programs aimed at improving the management of co-morbidities with a focus on cognitive and functional impairment, supporting the caregiver’s ability to manage frail older persons, preventing social isolation and malnutrition, and promoting PA.

3.3. Interventions to Mitigate Frailty and Its Consequences

Several intervention programs were implemented between 2016 and 2017 in the context of the framework of the EIP-AHA A3 Action Group activities (Table 3), many of which are funded by the EU.
Table 3. Interventions to mitigate frailty and its consequences.
The FOCUS project aims to contribute to the reduction of the burden created by frailty, by designing evidence-based protocols in order to introduce innovative practices in the management of frailty. The partners contributing to this multi-centre project are working on advancing knowledge of frailty detection, assessment, and management, including biological, clinical, cognitive and psychosocial markers, in order to change the paradigm of frailty care from acute intervention to prevention and rehabilitation. The outcomes include the generation of new guidelines and recommendations to increase success of interventions and the creation of a technological platform for EIP-AHA partners and stakeholders [45,61,62]. The guidelines and recommendations were piloted in five sites (Valencia in Spain, Milan in Italy, Coimbra in Portugal, Wroclaw in Poland and Birmingham in the UK).
The FrailSafe project (project 690140) aims to use technology and clinical research to better understand frailty, quantify it and eventually prevent it by analyzing physiological, cognitive, behavioral and social parameters in real-time. Through the developed IT dashboard, personalized interventions will be communicated to the older person and enable him/her to adopt a pro-active behavior by monitoring his/her health. Currently, the project is being tested in three pilot sites in Greece, France and Cyprus. The validation phases will take place at the end of 2018 and will provide results regarding the effectiveness of this innovative system to better prevent frailty [63].
The Prevention of Malnutrition In Senior Subject (PROMISS—project 678732) aims to better understand and ultimately prevent protein energy malnutrition in community dwelling older adults in Europe [64]. The PROMISS project developed and validated a short food questionnaire called the Protein Screener 55+ (Pro55+) to screen for low protein intake in community-dwelling older people [65]. The Pro55+ performed well in discrimination of community-dwelling older persons with a low and high protein intake [64,65].
Other intervention projects are focused specifically on physical activity, nutrition and polypharmacy. A Portuguese working group developed a multi-component community-based exercise intervention to improve the gait pattern and functional fitness of a group of community-dwelling older people. They hypothesized that a community-based program will have significantly better results in the improvement of gait and functional fitness parameters if it is regularly repeated. This intervention is based on a baseline assessment carried out using validated physical tests [66]. Similarly, the recently started Frailty, Falls and Functional loss Education (3Fights@edu) program is a massive open online course directed specifically for older people living in the community and their families which is intended to (1) give a comprehensive perspective about frailty, falls and functional decline with aging, and (2) provide strategies to promote active ageing and maintain independent living [67].
The H2020 i-PROGNOSIS project (project 690494) includes a Personalized Game Suit (PGS) that aims to mitigate the frailty symptoms in a personalized and gamified environment, involving Serious Games (SGs). The PGS design introduces, in a unified platform, the integration of different SGs, i.e., ExerGames, DietaryGames, EmoGames, and Handwriting/Voice Games, all related to Parkinson’s Disease (PD) symptoms. From this perspective, in the i-PROGNOSIS PGS platform, various modules within a holistic technological environment are under development towards older adult’s physical and emotional status monitoring and support [68].
A nutritional approach called NutriLive also aims at preventing functional decline and frailty across the EU, by implementing a structured Screening Assessment & Monitoring-Pyramid-Model (SAM-AP) into various health and social care systems. This pyramid model shows the ranking variables or tools needed to screen, assess, monitor, prevent or treat malnutrition in consultation with health care professionals. This approach could be integrated into the education of healthcare professionals such as medical doctors, dieticians, nurses and nurses’ aides. This suggests that there is a need to establish a new discipline of chefs, better educated to address the nutritional needs of older adults [69].
A working group mainly based at the University Federico II—Naples suggests a computerized prescription support system combined with CGA in order to manage polypharmacy among older adults. Preliminary data demonstrated this combination improves drug use and has positive effects on health outcomes, including a reduction in adverse drug reactions [70].
In the Personalised ICT Supported Service for Independent Living and Active Ageing (PERSSILAA—FP7-ICT-610359) project, technology supported self-management programs for PA, cognition, and nutrition were developed and offered in a gamified environment. Results show that older adults are able to use this environment and that when used long term, adherence to exercise programs is very high. Notably, the benefits of adequate nutrition are also evident from the preliminary data of the program [71,72].
The Lazio Regional heat prevention plan started in 2006 and specifically addressed frail older subgroups. The program, aimed at protecting older adults from the heat waves, is based on the active surveillance of high and very high-risk patients by General Practitioners (GPs), who received the list of frail patients by the regional Department of Epidemiology. The list is compiled on the basis of clinical and administrative information gathered on a routine basis by the Regional Health Service. Every year, an average of 550 GPs participates on a voluntary basis with the program and around 19,000 patients are surveyed each summer. This active surveillance by GPs is based on monitoring patient health status, adjusting pharmacological treatments, and adhering to emergency protocols in collaboration with local health services, hospitals and nursing homes [73].
All these protocols developed in the framework of the A3 Action Group highlight the potential impact of intervention programs based on tackling or identifying key components of frailty at population-level. These contribute to the development of a person-tailored approach to the management of frailty at community level in order to prevent specific factors contributing to frailty including physical decline, malnutrition and adverse drug reactions.

3.4. Impact Studies

The main characteristics of studies, included in this section, are summarized in Table 4.
Table 4. Papers on impact evaluation of program addressing frailty in older adults.
A randomized controlled trial in older adults aged >65 years, confirmed that PA is important to prevent frailty and showed the effectiveness of a multi-factorial intervention program to modify physical parameters, neuro-cognitive parameters and medication [74]. The intervention group received exercise training, intake of hyperproteic nutritional shakes, memory training, and medication review for 12 weeks.
This study highlighted that after 3 and 18 months, in the intervention group compared with the control one:
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Short physical performance Battery (SPPB) score improved to 1.58 to 1.36 (p < 0.001);
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handgrip strength increased to 2.84 and 2.49 kilogram (p < 0.001);
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functional reach rose to 4.3 and 4.52 centimetres (p < 0.001);
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the number of prescriptions decreased to 1.39 and 1.09 (p < 0.001);
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there was an improvement in neurocognitive battery scores [73].
Behm et al. analyzed the impact of a preventive home visit or multi-professional senior group meetings on the progression of frailty and found that the intervention was able to slow the progression of frailty but not to prevent the onset of frailty in community-dwellers aged over-80 [75].
Another program aimed at increasing social capital in community-dwelling older adults, the “Long Live the Elderly!” (LLE) program in Rome, Italy was able to limit the limit the increase of mortality during the 2015 heat wave by approximately 50% with a reduction of the expected mortality by 13% [76]. Moreover, the LLE program seemed to reduce the acute hospital admission rate by approximately 10% in a sample of older adults during the first six months of follow up [77]. The LLE program is based on a pro-active approach targeting all the over-75 residents in the operational area with a special focus on the over-80 because of their increased susceptibility to acute event especially during extreme climate events. The first step is the administration of a short questionnaire to screen frail individuals who then receive a personalized intervention plan. LLE aims at counteracting social isolation and acts as a one-stop shop to access all the other health and social services. The program uses phone calls to pro-actively monitor clients throughout the year according to their level of frailty. During extreme weather (heat waves/cold spells) all the participants receive periodical phone calls to receive advice and practical help to protect them from the dangerous consequences of extreme climatic conditions. Where required home visits and specific interventions (for example bringing food and medicine during an episode of illness or providing assistance with complex instrumental activities including navigating healthcare systems) can be provided by the program’s operators or by volunteers.
A detailed review of the impact of frailty management intervention based on data from papers published before 2016 by the A3 Action Group, showed mixed results overall, albeit they highlighted the need for more investigation of individuals with different level of frailty and how these can be managed at population-level [62]. Physical exercise programs were shown to be generally effective for reducing or delaying the onset of frailty but only when conducted in groups. Favorable effects on frailty indicators were also observed using nutritional supplementation, cognitive training and combined multi-component interventions e.g., combining physical exercise with nutritional supplementation [61]. While more research is needed to confirm these findings and their utility in the long-term, the potential benefits of such multi-intervention programs as preventative strategies are encouraging and suggests that they should be prioritized for further evaluation [61,75].

4. Discussion

This paper presents activities of the A3 Action Group of the EIP on AHA delivered between 2016 and 2018, focusing on public health research related to frailty. It shows the importance of taking a multifaceted approach when addressing frailty in community-dwelling older adults. This report highlights the depth and breadth of research conducted by the A3 group. From a public health perspective, frailty is a relevant construct to target because it allows planners to stratify populations according to their risk of negative outcomes [78]. The use of short questionnaires, like the ones developed by the A3 working group, allow for the efficient risk-stratification of communities and given evidence that few instruments are suitable (sufficiently accurate and reliable with short administration times) for use in clinical practice [79], those developed as commitments under the EIP on AHA have potential. They may also serve to support implementation of frailty screening programs at population level (at least the part of the population at higher risk of frailty including those aged over 75). This represents a fundamental step in managing frailty among community-dwelling older adults and is particularly important given results from the ongoing EU-funded Joint Action on Frailty Prevention, ADVANTAGE (3rd Health Programme grant number #724099), that there is currently insufficient evidence for frailty screening, monitoring and surveillance strategies to manage frailty in Europe [28]. Further, although frailty is now recognized for the first time as an emerging public health emergency [80], there remains insufficient, albeit growing evidence for approaches to prevent its onset in pre-frail subjects [81]. Instruments and pathways to support this early identification are, therefore, important.
Risk identification and stratification were major themes explored by many A3 Action Group researchers. This composite risk is related to frailty, which itself is a combination of many factors including socio-economic status, psycho-physical health and environmental characteristics [82]. The concept of frailty is an effective approach that can be used to establish priorities in accessing social and health services for older adults, to plan integrated care tailored to the individual and to measure the need for care at population level in order to allocate sufficient human and financial resources to appropriate community care services [80]. Undoubtedly, this is an aspect that public health planners and policy-makers should take into consideration [80]. In addition to the risk-stratification of populations, through multidimensional prognostic indexes [79], further attention should be devoted to the identification of pre-disability, which may be more amenable to proactive preventive multi-domain interventions. The results of A3 commitments and studies produced by the Action Group help better our understanding of the risks associated with developing frailty including the factors that drive frailty transitions from non-frail and pre-frail to frailty and back, some of which are socially determined [83]. The results obtained by the Action Group highlight several elements that could be combined in an intervention model to prevent frailty and functional decline as well as to slow their progression in order to mitigate the impact of these factors on individual health. This paper shows that this approach is able to re-direct the use of health care resources and it is likely associated with better quality of life. However, a model of community care based on frailty assessment and management is still lacking [28], because of insufficient evidence for the positive impact of this approach.
The main limitation of the A3 working group is that closer collaboration among different research groups working in this field across Europe is needed to develop and trial an approach that combines different programs in a unique exploratory framework. This approach will likely promote effective synergies, able to show pool resources and identify meaningful effects. There is an urgent need to involve regulatory authorities, private partners, and non-profit organizations in order to promote the implementation of multifaceted programs at community level that can exploit the move towards integrated health and social care to better manage frailty and multimorbidity and prevent subsequent functional decline [84]. While a variety of approaches in different areas and settings in regions of the EU are likely required, good practice models, based on the management of frailty at community level and the integration of social and health care, will offer a strong conceptual framework to support and develop locally-based responses. Another limitation of this paper is the potential bias resulting from an analysis based only on the activities of the A3 working group members. Further, as with any review it is possible some studies were not included and the review may be susceptible to publication bias. That said, the three-phase approach to identifying suitable material and the attempt made to contact all A3 Action Group members means that these were likely minimized.
From a research perspective, frailty is an essential paradigm to allow meaningful comparisons of older adults with increasingly complex socio-economic environments at risk of adverse health outcomes. It is important to understand factors contributing to successful social and health interventions to address frailty. These will become an important part of public health strategies designed to address our ageing demographics. The impact of new instruments and interventions focused on the management of frailty at community level presented in this review is potentially great, albeit more study is now required to confirm these findings and to better understand the effect and interplay between factors that can promote successful ageing including physical activity and nutrition. Robust methodological approaches are required to measure the impact of interventions; this is crucial in order to guide the future development of community care and to contribute to the medium-long term sustainability of health care systems in the face of population ageing in the EU and beyond. This report shows the strategic role that the A3 Action Group of the EIP on AHA has had since its inception and its potential to expand the public health agenda related to ageing in Europe. This can be achieved by supporting not only evidence-based approaches to address frailty, but also the development of policy and guidance documents. More effort is required to create an effective platform between public health and clinical practice.

5. Conclusions

This report highlights how the A3 Action Group of the EIP on AHA has developed approaches to identify and address an increasingly important aspect of public health: the ageing of populations and the high and growing prevalence of frailty and functional decline in Europe, particularly at population level [85]. A number of useful screening and risk-stratification instruments were developed by the Action Group and the multidimensional interdisciplinary approach taken has helped identify and reinforce the importance of factors that play an important role in not only the development of frailty but also how to achieve optimal outcomes using health and social care interventions. More impact studies, with well-constructed methodologies, must be conducted to further evaluate the factors and possible interventions identified by the A3 Action Group and summarized in this report. The development of an effective model for health promotion and care addressing the needs of community-dwelling older adults is required and the feasibility, efficiency and effectiveness of managing frailty in the community should be tested under ‘real world’ conditions.

Author Contributions

G.L., designed the paper and drafted the initial text; S.U., M.I., R.O’.C., A.C., C.H., R.R.-W., P.S. and V.D.L. critically revised and edited the final paper; A.C., C.G., M.F., F.P., C.A., L.M., selected the papers to be revised, and drafted the initial text together with G.L.; L.P., contributed to the design of the paper and revised the final version.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Illario, M.; De Luca, V.; Tramontano, G.; Menditto, E.; Iaccarino, G.; Bertorello, L.; Palummeri, E.; Romano, V.; Moda, G.; Maggio, M.; et al. The Italian reference sites of the European innovation partnership on active and healthy ageing: Progetto Mattone Internazionale as an enabling factor. Annali dell’Istituto Superiore di Sanità 2017, 53, 60–69. [Google Scholar] [CrossRef] [PubMed]
  2. International Longevity Centre. Active Ageing: A Policy Framework in Response to Longevity Revolution. Available online: http://ilcbrazil.org/portugues/wp-content/uploads/sites/4/2015/12/Active-Ageing-A-Policy-Framework-ILC-Brazil_web.pdf Accessed (accessed on 13 November 2018).
  3. World Health Organization. World Report about Ageing and Health. Available online: http://apps.who.int/iris/bitstream/handle/10665/186463/9789240694811_eng.pdf;jsessionid=B9A03C37671AFA933C77145A30215F30?sequence=1 (accessed on 13 November 2018).
  4. Fernández-Ballesteros. Active versus Healthy Aging: A Step Backwards? OAJ Gerontol. Geriatr. Med. 2017, 1, 555558. [Google Scholar]
  5. Domagała, A.; Arsenijevic, J.; Poscia, A. Good practices in health promotion for older people. In Health Promotion for Older People in Europe; Scholar Publishing House Ltd.: Warsaw, Poland, 2017; pp. 147–178. ISBN 978-83-7383-906-9. [Google Scholar]
  6. Eurostat. Statistics Explained. Healthy Life Years Statistics. Available online: http://ec.europa.eu/eurostat/statistics-explained/index.php?title=Healthy_life_years_statistics (accessed on 13 November 2018).
  7. Illario, M.; Vollenbroek-Hutten, M.; Molloy, D.W.; Menditto, E.; Iaccarino, G.; Eklund, P. Active and healthy ageing and independent living. J. Aging Res. 2015, 2015, 542183. [Google Scholar] [CrossRef] [PubMed]
  8. García-Esquinas, E.; Rodríguez-Artalejo, F. Environmental Pollutants, Limitations in Physical Functioning, and Frailty in Older Adults. Curr. Environ. Health Rep. 2017, 4, 12–20. [Google Scholar] [CrossRef]
  9. European Commission. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions: Europe 2020 Flagship Initiative Innovation Union. 2011. Available online: https://ec.europa.eu/research/innovation-union/pdf/innovation-union-communication_en.pdf (accessed on 13 November 2018).
  10. European Innovation Partnership on Active and Healthy Ageing. State of play of Action Group A1. Prescription and Adherence to Medical Plans. Available online: https://ec.europa.eu/research/innovation-union/pdf/active-healthy-ageing/a1_achievements_2015.pdf (accessed on 13 November 2018).
  11. European Innovation Partnership on Active and Healthy Ageing. State of Play of Action Group A2. Personalised Health Management and Falls Prevention. Available online: file:///C:/Users/med03/Downloads/ag_a2_sop.pdf (accessed on 13 November 2018).
  12. Cano, A.; Dargent, G.; Carriazo, A.; López-Samaniego, L.; Apostolo, J.; Campos, E.; Holland, C.; Varela-Nieto, I.; Luz Sánchez-Sánchez, M.; Illario, M.; et al. Tackling frailty and functional decline: Background of the action group A3 of the European innovation partnership for active and healthy ageing. Maturitas 2018, 115, 69–73. [Google Scholar] [CrossRef] [PubMed]
  13. European Innovation Partnership on Active and Healthy Ageing. State of play of Action Group B3. Replicating and Tutoring Integrated Care for Chronic Diseases, including Remote Monitoring at Regional Level. Available online: https://ec.europa.eu/research/innovation-union/pdf/active-healthy-ageing/b3_achievements_2015.pdf (accessed on 13 November 2018).
  14. European Innovation Partnership on Active and Healthy Ageing. State of play of Action Group C2. Development of Interoperable and Independent Living Solutions. Available online: file:///C:/Users/med03/Downloads/ag_c2_sop.pdf (accessed on 13 November 2018).
  15. European Innovation Partnership on Active and Healthy Ageing. State of Play of Action Group D4. Innovation for Age-Friendly Buildings, Cities and Environments. Available online: https://ec.europa.eu/research/innovation-union/pdf/active-healthy-ageing/d4_achievements_2015.pdf (accessed on 13 November 2018).
  16. Illario, M.; Iaccarino, G.; Piazza, O.; Menditto, E.; Coscioni, E. Proceedings of the EIP on AHA: A3 Action Group on Frailty. Transl. Med. UniSa 2015, 13, 1–3. [Google Scholar] [PubMed]
  17. European Innovation Partnership on Active and Healthy Ageing. Building European Commitment to Prevent and Tackle Frailty. A Decalogue on Frailty Prevention. Available online: https://ec.europa.eu/research/innovation-union/pdf/active-healthy-ageing/a3_decalogue_2015.pdf (accessed on 13 November 2018).
  18. Bousquet, J.; Agache, I.; Aliberti, M.R.; Angles, R.; Annesi-Maesano, I.; Anto, J.M.; Arnavielhe, S.; Asayag, E.; Bacci, E.; Bedbrook, A. Transfer of innovation on allergic rhinitis and asthma multimorbidity in the elderly (MACVIA-ARIA)—EIP on AHA Twinning Reference Site (GARD research demonstration project). Allergy 2018, 73, 77–92. [Google Scholar] [CrossRef]
  19. Malva, J.O.; Amado, A.; Rodrigues, A.; Mota-Pinto, A.; Cardoso, A.F.; Teixeira, A.M.; Todo-Bom, A.; Devesa, A.; Ambrósio, A.F.; Cunha, A.L. The Quadruple Helix-Based Innovation Model of Reference Sites for Active and Healthy Ageing in Europe: The Ageing@Coimbra Case Study. Front. Med. 2018, 5, 132. [Google Scholar] [CrossRef]
  20. European Commission. European Innovation Partnership. Available online: https://ec.europa.eu/eip/ageing/about-the-partnership_en (accessed on 29 November 2018).
  21. Piotrowicz, J.; Soll, A.; Kielar, U.; Zwiefka, A.; Guligowska, A.; Piglowska, M.; Kostka, T.; Kurpas, D. ICT and environmental support for patients with frailty syndrome: CAREWELL project, FOCUS project and SUNFRAIL project. Med. Sci. Pulse 2017, 1, 37–43. [Google Scholar] [CrossRef]
  22. Sunfrail. Available online: http://www.sunfrail.eu/ (accessed on 19 November 2018).
  23. Onder, G.; Cesari, M.; Maggio, M.; Palmer, K. Defining a care pathway for patients with multimorbidity or frailty. Eur. J. Intern. Med. 2017, 38, 1–2. [Google Scholar] [CrossRef]
  24. Weathers, E.; O’Caoimh, R.; O’Sullivan, R.; Paúl, C.; Orfilia, F.; Clarnette, R.; Fitzgerald, C.; Svendrovski, A.; Cornally, N.; Leahy-Warren, P.; et al. The inter-rater reliability of the Risk Instrument for Screening in the Community. Br. J. Community Nurs. 2016, 21, 469–475. [Google Scholar] [CrossRef] [PubMed]
  25. O’Caoimh, R.; FitzGerald, C.; Cronin, U.; Svendrovski, A.; Gao, Y.; Healy, E.; O’Connell, E.; O’Keeffe, G.; O’Herlihy, E.; Weathers, E.; et al. Which part of a short, global risk assessment, the Risk Instrument for Screening in the Community, predicts adverse healthcare outcomes? J. Aging Res. 2015, 2015, 256414. [Google Scholar] [CrossRef] [PubMed]
  26. Capanna, A.; Scarcella, P.; Gilardi, F.; Mancinelli, S.; Palombi, L.; Marazzi, M.C.; Riccardi, F.; Liotta, G. Sensitivity and Specificity of a Short Questionnaire to Screen Frailty in the Community-Dwelling Older Population. Adv. Aging Res. 2018, 7, 52–63. [Google Scholar] [CrossRef]
  27. Gilardi, F.; Capanna, A.; Ferraro, M.; Scarcella, P.; Marazzi, M.C.; Palombi, L.; Liotta, G. Frailty screening and assessment tools: A review of characteristics and use in Public Health. Ann. Ig. 2018, 30, 128–139. [Google Scholar] [CrossRef] [PubMed]
  28. Rodríguez-Laso, Á.; O’Caoimh, R.; Galluzzo, L.; Carcaillon-Bentana, L.; Beltzer, N.; Macijauskiene, J.; Albaina Bacaicoa, O.; Ciutan, M.; Hendry, A.; Lopez-Samaniego, L.; et al. Population screening, monitoring and surveillance for frailty: Three systematic reviews and a grey literature review. Annali dell’Istituto Superiore di Sanità 2018, 54, 253–262. [Google Scholar] [CrossRef] [PubMed]
  29. Apóstolo, J.; Cooke, R.; Bobrowicz-Campos, E.; Santana, S.; Marcucci, M.; Cano, A.; Vollenbroek-Hutten, M.; Germini, F.; Holland, C. Predicting risk and outcomes for frail older adults: An umbrella review of frailty screening tools. JBI Database Syst. Rev. Implement Rep. 2017, 15, 1154–1208. [Google Scholar] [CrossRef]
  30. Liotta, G.; O’Caoimh, R.; Gilardi, F.; Proietti, M.G.; Rocco, G.; Alvaro, R.; Scarcella, P.; Molloy, D.W.; Orlando, S.; Mancinelli, S.; et al. Assessment of frailty in community-dwelling older adults residents in the Lazio region (Italy): A model to plan regional community-based services. Arch. Gerontol. Geriatr. 2017, 68, 1–7. [Google Scholar] [CrossRef]
  31. Gilardi, F.; Scarcella, P.; Proietti, M.G.; Capobianco, G.; Rocco, G.; Capanna, A.; Mancinelli, S.; Marazzi, M.C.; Palombi, L.; Liotta, G. Frailty as a predictor of mortality and hospital services use in older adults: A cluster analysis in a cohort study. Eur. J. Public Health 2018, 28, 842–846. [Google Scholar] [CrossRef]
  32. Doménech-Abella, J.; Mundó, J.; Moneta, M.V.; Perales, J.; Ayuso-Mateos, J.L.; Miret, M.; Haro, J.M.; Olaya, B. The impact of socioeconomic status on the association between biomedical and psychosocial well-being and all-cause mortality in older Spanish adults. Soc. Psychiatry Psychiatr. Epidemiol. 2018, 53, 259–268. [Google Scholar] [CrossRef]
  33. Teixeira, L.; Azevedo, M.J.; Alves, S.; Pires, C.L.; Paúl, C. Perception of Risk of adverse outcomes of older people: Comparison between nursing homes, day centres and home care services. Qual. Ageing Older Adults 2017, 18, 212–220. [Google Scholar] [CrossRef]
  34. Olaya, B.; Moneta, M.V.; Caballero, F.F.; Tyrovolas, S.; Bayes, I.; Ayuso-Mateos, J.L.; Haro, J.M. Latent class analysis of multimorbidity patterns and associated outcomes in Spanish older adults: A prospective cohort study. BMC Geriatr. 2017, 17, 186. [Google Scholar] [CrossRef] [PubMed]
  35. Rodrigues, A.M.; Gregório, M.J.; Sousa, R.D.; Dias, S.S.; Santos, M.J.; Mendes, J.M.; Coelho, P.S.; Branco, J.C.; Canhão, H. Challenges of Ageing in Portugal: Data from the EpiDoC Cohort. Acta Med. Port. 2018, 31, 80–93. [Google Scholar] [CrossRef] [PubMed]
  36. Tomás, C.C.; Oliveira, E.; Sousa, D.; Uba-Chupel, M.; Furtado, G.; Rocha, C.; Teixeira, A.; Ferreira, P.; Alves, C.; Gisin, S.; et al. Proceedings of the 3rd IPLeiria’s International Health Congress: Leiria, Portugal. 6–7 May 2016. BMC Health Serv. Res. 2016, 16 (Suppl. 3), 200. [Google Scholar] [CrossRef] [PubMed]
  37. Garin, N.; Koyanagi, A.; Chatterji, S.; Tyrovolas, S.; Olaya, B.; Leonardi, M.; Lara, E.; Koskinen, S.; Tobiasz-Adamczyk, B.; Ayuso-Mateos, J.L.; et al. Global Multimorbidity Patterns: A Cross-Sectional, Population-Based, Multi-Country Study. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 2015, 71, 205–214. [Google Scholar] [CrossRef] [PubMed]
  38. D’Avanzo, B.; Shaw, R.; Riva, S.; Apostolo, J.; Bobrowicz-Campos, E.; Kurpas, D.; Bujnowska-Fedak, M.; Holland, C. Stakeholders’ views and experiences of care and interventions for addressing frailty and pre-frailty: A meta-synthesis of qualitative evidence. PLoS ONE 2017, 12, e0180127. [Google Scholar] [CrossRef] [PubMed]
  39. Orfila, F.; Coma-Solé, M.; Cabanas, M.; Cegri-Lombardo, F.; Moleras-Serra, A.; Pujol-Ribera, E. Family caregiver mistreatment of the elderly: Prevalence of risk and associated factors. BMC Public Health 2018, 18, 167. [Google Scholar] [CrossRef]
  40. O’Caoimh, R.; Cornally, N.; Svendrovski, A.; Weathers, E.; FitzGerald, C.; Healy, E.; O’Connell, E.; O’Keeffe, G.; O’Herlihy, E.; Gao, Y.; et al. Measuring the Effect of Carers on Patients’ Risk of Adverse Healthcare Outcomes Using the Caregiver Network Score. J. Frailty Aging 2016, 5, 104–110. [Google Scholar] [CrossRef]
  41. Gwyther, H.; Shaw, R.; Jaime Dauden, E.A.; D’Avanzo, B.; Kurpas, D.; Bujnowska-Fedak, M.; Kujawa, T.; Marcucci, M.; Cano, A.; Holland, C. Understanding frailty: A qualitative study of European healthcare policy-makers’ approaches to frailty screening and management. BMJ Open 2018, 8, e018653corr1. [Google Scholar] [CrossRef]
  42. Amanzio, M.; Palermo, S.; Zucca, M.; Rosato, R.; Rubino, E.; Leotta, D.; Bartoli, M.; Rainero, I. Neuropsychological Correlates of Pre-Frailty in Neurocognitive Disorders: A Possible Role for Metacognitive Dysfunction and Mood Changes. Front. Med. 2017, 4, 199. [Google Scholar] [CrossRef]
  43. Raggi, A.; Corso, B.; Minicuci, N.; Quintas, R.; Sattin, D.; De Torres, L.; Chatterji, S.; Frisoni, G.B.; Haro, J.M.; Koskinen, S.; et al. Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain. PLoS ONE 2016, 11, e0159293. [Google Scholar] [CrossRef]
  44. Lara, E.; Koyanagi, A.; Caballero, F.; Domènech-Abella, J.; Miret, M.; Olaya, B.; Rico-Uribe, L.; Ayuso-Mateos, J.L.; Haro, J.M. Cognitive reserve is associated with quality of life: A population-based study. Exp. Gerontol. 2017, 87, 67–73. [Google Scholar] [CrossRef] [PubMed]
  45. Gwyther, H.; Bobrowicz-Campos, E.; Apóstolo, L.A.J.; Marcucci, M.; Cano, A.; Holland, C. A realist review to understand the efficacy and outcomes of interventions designed to minimise, reverse or prevent the progression of frailty. Health Psychol. Rev. 2018, 12, 382–404. [Google Scholar] [CrossRef] [PubMed]
  46. De Sousa, R.D.; Rodrigues, A.M.; Gregório, M.J.; Branco, J.D.C.; Gouveia, M.J.; Canhão, H.; Dias, S.S. Anxiety and Depression in the Portuguese Older Adults: Prevalence and Associated Factors. Front. Med. 2017, 4, 196. [Google Scholar] [CrossRef] [PubMed]
  47. Tobiasz-Adamczyk, B.; Galas, A.; Zawisza, K.; Chatterji, S.; Haro, J.M.; Ayuso-Mateos, J.L.; Koskinen, S.; Leonardi, M. Gender-related differences in the multi-pathway effect of social determinants on quality of life in older age-the COURAGE in Europe project. Qual. Life Res. 2017, 26, 1865–1878. [Google Scholar] [CrossRef] [PubMed]
  48. Rapacciuolo, A.; Perrone Filardi, P.; Cuomo, R.; Mauriello, V.; Quarto, M.; Kisslinger, A.; Savarese, G.; Illario, M.; Tramontano, D. The Impact of Social and Cultural Engagement and Dieting on Well-Being and Resilience in a Group of Residents in the Metropolitan Area of Naples. J. Aging Res. 2016, 2016, 4768420. [Google Scholar] [CrossRef] [PubMed]
  49. Rico-Uribe, L.A.; Caballero, F.F.; Olaya, B.; Tobiasz-Adamczyk, B.; Koskinen, S.; Leonardi, M.; Haro, J.M.; Chatterji, S.; Ayuso-Mateos, J.L.; Miret, M. Loneliness, Social Networks, and Health: A Cross-Sectional Study in Three Countries. PLoS ONE 2016, 11, e0145264. [Google Scholar] [CrossRef] [PubMed]
  50. Domènech-Abella, J.; Lara, E.; Rubio-Valera, M.; Olaya, B.; Moneta, M.V.; Rico-Uribe, L.A.; Ayuso-Mateos, J.L.; Mundó, J.; Haro, J.M. Loneliness and depression in the elderly: The role of social network. Soc. Psychiatry Psychiatr. Epidemiol. 2017, 52, 381–390. [Google Scholar] [CrossRef]
  51. Santos, D.; Abad, F.J.; Miret, M.; Chatterji, S.; Olaya, B.; Zawisza, K.; Koskinen, S.; Leonardi, M.; Haro, J.M.; Ayuso-Mateos, J.L.; et al. Measurement invariance of the WHOQOL-AGE questionnaire across three European countries. Qual. Life Res. 2018, 27, 1015–1025. [Google Scholar] [CrossRef]
  52. Fernandes, S.G.; Rodrigues, A.M.; Nunes, C.; Santos, O.; Gregório, M.J.; de Sousa, R.D.; Dias, S.; Canhão, H. Food Insecurity in Older Adults: Results from the Epidemiology of Chronic Diseases Cohort Study 3. Front. Med. 2018, 5, 203. [Google Scholar] [CrossRef]
  53. Coto Montes, A.; Boga, J.A.; Bermejo Millo, C.; Rubio González, A.; Potes Ochoa, Y.; Vega Naredo, I.; Martínez Reig, M.; Romero Rizos, L.; Sánchez Jurado, P.M.; Solano, J.J.; et al. Potential early biomarkers of sarcopenia among independent older adults. Maturitas 2017, 104, 117–122. [Google Scholar] [CrossRef]
  54. Potes, Y.; de Luxán-Delgado, B.; Rodriguez-González, S.; Guimarães, M.R.M.; Solano, J.J.; Fernández-Fernández, M.; Bermúdez, M.; Boga, J.A.; Vega-Naredo, I.; Coto-Montes, A. Overweight in elderly people induces impaired autophagy in skeletal muscle. Free Radic. Biol. Med. 2017, 110, 31–41. [Google Scholar] [CrossRef] [PubMed]
  55. Coto-Montes, A.; Boga, J.A.; Tan, D.X.; Reiter, R.J. Melatonin as a Potential Agent in the Treatment of Sarcopenia. Int. J. Mol. Sci. 2016, 17, 1771. [Google Scholar] [CrossRef] [PubMed]
  56. Olaya, B.; Moneta, M.V.; Doménech-Abella, J.; Miret, M.; Bayes, I.; Ayuso-Mateos, J.L.; Haro, J.M. Mobility Difficulties, Physical Activity, and All-cause Mortality Risk in a Nationally representative Sample of Older Adults. J. Gerontol. A Biol. Sci. Med. Sci. 2018, 73, 1272–1279. [Google Scholar] [CrossRef] [PubMed]
  57. Tomás, M.T.; Galán-Mercant, A.; Carnero, E.A.; Fernandes, B. Functional Capacity and Levels of Physical Activity in Aging: A 3-Year Follow-up. Front. Med. 2018, 4, 244. [Google Scholar] [CrossRef] [PubMed]
  58. Loyen, A.; Clarke-Cornwell, A.M.; Anderssen, S.A.; Hagströmer, M.; Sardinha, L.B.; Sundquist, K.; Ekelund, U.; Steene-Johannessen, J.; Baptista, F.; Hansen, B.H.; et al. Sedentary Time and Physical Activity Surveillance Through Accelerometer Pooling in Four European Countries. Sports Med. 2017, 47, 1421–1435. [Google Scholar] [CrossRef] [PubMed]
  59. Santos, D.A.; Júdice, P.B.; Magalhães, J.P.; Correia, I.R.; Silva, A.M.; Baptista, F.; Sardinha, L.B. Patterns of accelerometer-derived sedentary time across the lifespan. J. Sports Sci. 2018, 36, 2809–2817. [Google Scholar] [CrossRef]
  60. Pereira, C.; Fernandes, J.; Raimundo, A.; Biehl-Printes, C.; Marmeleira, J.; Tomas-Carus, P. Increased Physical Activity and Fitness above the 50(th) Percentile Avoid the Threat of Older Adults Becoming Institutionalized: A Cross-sectional Pilot Study. Rejuvenation Res. 2016, 19, 13–20. [Google Scholar] [CrossRef]
  61. Cano, A.; Kurpas, D.; Bujnowska-Fedak, M.M.; Santana, S.; Holland, C.; Marcucci, M.; Gonzalez-Segura, A.; Vollenbroek-Hutten, M.; D’Avanzo, B.; Nobili, A.; et al. FOCUS: Frailty Management Optimisation through EIPAHA Commitments and Utilisation of Stakeholders’ Input—An innovative European Project in elderly care. Fam. Med. Prim. Care Rev. 2016, 18, 373–376. [Google Scholar] [CrossRef]
  62. Apóstolo, J.; Cooke, R.; Bobrowicz-Campos, E.; Santana, S.; Marcucci, M.; Cano, A.; Vollenbroek-Hutten, M.; Germini, F.; D’Avanzo, B.; Gwyther, H.; et al. Corrigendum: Effectiveness of interventions to prevent pre-frailty and frailty progression in older adults: A systematic review. JBI Database Syst. Rev. Implement Rep. 2018, 16, 1282–1283. [Google Scholar] [CrossRef]
  63. FrailSafe. Available online: https://frailsafe-project.eu/ (accessed on 14 November 2018).
  64. PROMISS. Nutrition for Healthy Ageing. Available online: www.PROMISS-VU.eu (accessed on 14 November 2018).
  65. Wijnhoven, H.A.H.; Elstgeest, L.E.M.; de Vet, H.C.W.; Nicolaou, M.; Snijder, M.B.; Visser, M. Development and validation of a short food questionnaire to screen for low protein intake in community-dwelling older adults: The Protein Screener 55+ (Pro55+). PLoS ONE 2018, 13, e0196406. [Google Scholar] [CrossRef]
  66. Ramalho, F.; Carnide, F.; Santos-Rocha, R.; André, H.I.; Moniz-Pereira, V.; Machado, M.L.; Veloso, A.P. Community-Based Exercise Intervention for Gait and Functional Fitness Improvement in an Older Population: Study Protocol. J Aging Phys. Act. 2017, 25, 84–93. [Google Scholar] [CrossRef] [PubMed]
  67. Carnide, F.; Baptista, F.; Moura, A.; Sofia, B.D.; Moura, A.; Langberg, H.; Mosbech Jensen, A.; del Pozo, F. Frailty, Falls, and Functional loss Education: The 3Fights@Edu MOOC perspective. In Proceedings of the 2016 1st International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW), Vila Real, Portugal, 1–3 December 2016; Available online: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7847784 (accessed on 14 November 2018).
  68. Dias, S.B.; Konstantinidis, E.; Diniz, J.A.; Bamidis, P.; Charisis, V.; Hadjidimitriou, S.; Stadtschnitzer, M.; Fagerberg, P.; Ioakeimidis, I.; Dimitropoulos, K.; et al. Serious Games as a means for holistically supporting Parkinson’s Disease patients: The i-PROGNOSIS Personalized Game Suite framework. In Proceedings of the 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games), Athens, Greece, 6–8 September 2017; pp. 237–244. [Google Scholar] [CrossRef]
  69. Illario, M.; Maione, A.S.; Rusciano, M.R.; Goossens, E.; Rauter, A.; Braz, N.; Jager-Wittenaar, H.; Di Somma, C.; Crola, C.; Soprano, M.; et al. NutriLive: An Integrated Nutritional Approach as a Sustainable Tool to Prevent Malnutrition in Older People and Promote Active and Healthy Ageing—The EIP-AHA Nutrition Action Group. Adv. Public Health 2016, 2016, 5678782. [Google Scholar] [CrossRef]
  70. Arcopinto, M.; Cataldi, M.; De Luca, V.; Orlando, V.; Simeone, G.; D’Assante, R.; Postiglione, A.; Guida, A.; Trama, U.; Illario, M.; et al. Implementing an ICT-Based Polypharmacy Management Program in Italy. Transl. Med. UniSa 2017, 16, 24–29. [Google Scholar] [PubMed]
  71. Vuolo, L.; Barrea, L.; Savanelli, M.C.; Savastano, S.; Rubino, M.; Scarano, E.; Soprano, M.; Illario, M.; Colao, A.; Di Somma, C. Nutrition and Osteoporosis: Preliminary data of Campania Region of European PERsonalised ICT Supported Service for Independent Living and Active Ageing. Transl. Med. UniSa 2016, 13, 13–18. [Google Scholar] [PubMed]
  72. Barrea, L.; Muscogiuri, G.; Di Somma, C.; Tramontano, G.; De Luca, V.; Illario, M.; Colao, A.; Savastano, S. Association between Mediterranean diet and hand grip strength in older adult women. Clin. Nutr. 2018. [Google Scholar] [CrossRef]
  73. Health Directorate, Lazio Region; Department of Epidemiology, Lazio Regional Health Service, ASL Rome 1. The Regional Plan for Prevention of Heat Wave Related Effects. Available online: https://www.salutelazio.it/notizie-dalla-regione-lazio/-/asset_publisher/3IMUBGWmAz07/content/ondate-calore?inheritRedirect=false&redirect=https%3A%2F%2Fwww.salutelazio.it%2Fnotizie-dalla-regione-lazio%3Fp_p_id%3D101_INSTANCE_3IMUBGWmAz07%26p_p_lifecycle%3D0%26p_p_state%3Dnormal%26p_p_mode%3Dview%26p_p_col_id%3Dcolumn-1%26p_p_col_pos%3D1%26p_p_col_count%3D2 (accessed on 19 November 2018).
  74. Romera-Liebana, L.; Orfila, F.; Segura, J.M.; Real, J.; Fabra, M.L.; Möller, M.; Lancho, S.; Ramirez, A.; Marti, N.; Cullell, M.; et al. Effects of a Primary Care-Based Multifactorial Intervention on Physical and Cognitive Function in Frail, Elderly Individuals: A Randomized Controlled Trial. J. Gerontol. A Biol. Sci. Med. Sci. 2018, 73, 1668–1674. [Google Scholar] [CrossRef]
  75. Behm, L.; Eklund, K.; Wilhelmson, K.; Zidén, L.; Gustafsson, S.; Falk, K.; Dahlin-Ivanoff, S. Health Promotion Can Postpone Frailty: Results from the RCT Elderly Persons in the Risk Zone. Public Health Nurs. 2016, 33, 303–315. [Google Scholar] [CrossRef]
  76. Liotta, G.; Inzerilli, M.C.; Palombi, L.; Madaro, O.; Orlando, S.; Scarcella, P.; Betti, D.; Marazzi, M.C. Social Interventions to Prevent Heat-Related Mortality in the Older Adult in Rome, Italy: A Quasi-Experimental Study. Int. J. Environ. Res. Public Health 2018, 15, E715. [Google Scholar] [CrossRef]
  77. Liotta, G.; Inzerilli, M.C.; Palombi, L.; Bianchini, A.; Di Gennaro, L.; Madaro, O.; Marazzi, M.C. Impact of social care on Hospital Admissions in a sample of community-dwelling older adults: Results of a quasi-experimental study. Ann. Ig. 2018, 30, 378–386. [Google Scholar] [CrossRef]
  78. O’Caoimh, R.; Gao, Y.; Svendrovski, A.; Healy, E.; O’Connell, E.; O’Keeffe, G.; Cronin, U.; O’Herlihy, E.; Cornally, N.; Molloy, D.W. Screening for markers of frailty and perceived risk of adverse outcomes using the Risk Instrument for Screening in the Community (RISC). BMC Geriatr. 2014, 14, 104. [Google Scholar] [CrossRef]
  79. O’Caoimh, R.; Cornally, N.; Weathers, E.; O’Sullivan, R.; Fitzgerald, C.; Orfila, F.; Clarnette, R.; Paúl, C.; Molloy, D.W. Risk prediction in the community: A systematic review of case-finding instruments that predict adverse healthcare outcomes in community-dwelling older adults. Maturitas 2015, 82, 3–21. [Google Scholar] [CrossRef] [PubMed]
  80. Cesari, M.; Prince, M.; Thiyagarajan, J.A.; De Carvalho, I.A.; Bernabei, R.; Chan, P.; Gutierrez-Robledo, L.M.; Michel, J.P.; Morley, J.E.; Ong, P.; et al. Frailty: An emerging public health priority. J. Am. Med. Dir. Assoc. 2016, 17, 188–192. [Google Scholar] [CrossRef] [PubMed]
  81. Puts, M.T.E.; Toubasi, S.; Andrew, M.K.; Ashe, M.C.; Ploeg, J.; Atkinson, E.; Ayala, A.P.; Roy, A.; Monforte, M.R.; Bergman, H.; et al. Interventions to prevent or reduce the level of frailty in community-dwelling older adults: A scoping review of the literature and international policies. Age Ageing 2017, 46, 383–392. [Google Scholar] [CrossRef] [PubMed]
  82. Feng, Z.; Lugtenberg, M.; Franse, C.; Fang, X.; Hu, S.; Jin, C.; Raat, H. Risk factors and protective factors associated with incident or increase of frailty among community-dwelling older adults: A systematic review of longitudinal studies. PLoS ONE 2017, 12, e0178383. [Google Scholar] [CrossRef] [PubMed]
  83. O’Caoimh, R.; Galluzzo, L.; Rodriguez-Laso, A.; Van der Heyden, J.; Ranhoff, A.H.; Carcaillon-Bentata, L.; Beltzer, N.; Kennelly, S.; Liew, A. Transitions and trajectories in frailty states over time: A systematic review of the European Joint Action ADVANTAGE. Annali dell’Istituto Superiore di Sanità 2018, 54, 246–252. [Google Scholar] [PubMed]
  84. Rodríguez-Artalejo, F.; Rodríguez-Mañas, L. The frailty syndrome in the public health agenda. J. Epidemiol. Community Health 2014, 68, 703–704. [Google Scholar] [CrossRef] [PubMed]
  85. O’Caoimh, R.; Galluzzo, L.; Rodríguez-Laso, Á.; Van der Heyden, J.; Ranhoff, A.H.; Lamprini-Koula, M.; Ciutan, M.; López-Samaniego, L.; Carcaillon-Bentata, L.; Kennelly, S.; et al. Prevalence of frailty at population level in European ADVANTAGE Joint Action Member States: A systematic review and meta-analysis. Annali dell’Istituto Superiore di Sanità 2018, 54, 226–239. [Google Scholar]

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