Next Article in Journal
Students’ Well-Being and Academic Engagement: A Multivariate Analysis of the Influencing Factors
Previous Article in Journal
Effectiveness of Internet-Based or Mobile App Interventions for Family Caregivers of Older Adults with Dementia: A Systematic Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Trends in Multicomponent Training Research in the Aged Population: A Bibliometric Analysis

by
Damián Pereira-Payo
1,
Ángel Denche-Zamorano
2,*,
María Mendoza-Muñoz
3,*,
Juan Manuel Franco-García
1,
Jorge Carlos-Vivas
4 and
Jorge Pérez-Gómez
1
1
Health, Economy, Motricity and Education (HEME) Research Group, Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain
2
Promoting a Healthy Society Research Group (PHeSO), Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain
3
Physical and Health Literacy and Health-Related Quality of Life (PHYQoL), Faculty of Sport Science, University of Extremadura, 10003 Cáceres, Spain
4
Physical Activity for Education, Performance and Health (PAEPH) Research Group, Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain
*
Authors to whom correspondence should be addressed.
Healthcare 2024, 12(15), 1493; https://doi.org/10.3390/healthcare12151493
Submission received: 1 July 2024 / Revised: 19 July 2024 / Accepted: 24 July 2024 / Published: 27 July 2024

Abstract

:
The proportion of aged populations is increasing worldwide. Exercise has a palliating effect on some adverse implications of aging. Multicomponent training (MCT) is a recommended form of exercise for the aged population. The aims of this research were to (1) study the number of publications regarding MCT in the aged population following an exponential growth rate; (2) identify the journals, authors, and countries that stand out the most in this area; and (3) describe the most common themes and used keywords in this field. The analysis was performed through the traditional laws of bibliometrics, including, Price’s, Lotka’s, Bradford’s, and Zipf’s law. All documents published in journals indexed in the Web of Science (WoS) Core Collection from 2001 to November 2023 that met the inclusion criteria were included. The 485 documents included in this review revealed that the number of annual publications experienced an exponential growth phase, 15 journals with six or more publications formed the core journals on this topic, and the author Mikel Izquierdo and his collaborative network topped the lists of prominent and prolific co-authors. Spain was the leading country in number of publications. Various thematic lines and keywords regarding strength, sarcopenia, quality of life, falls, balance, dual-task exercise, and cognitive and physical functioning were identified. In conclusion, this work confirmed that research on this topic is going through an exponential growth phase and provided detailed information about the journals, authors, and countries involved in the subject, as well as the keywords most frequently used in the subject matter.

1. Introduction

The global population is rapidly aging, and the percentage of people aged 60 or above is around one-third of the total population in some countries [1]. The aging process is associated with a series of physiological changes that lead to a concomitant increase in the risk of chronic disease and multimorbidity [2]. From the age of 60 years onwards, there is a decline in the senses and a loss in mental and physical functioning that increases the susceptibility to disability and the odds of frailty [2,3]. In this sense, performing regular physical activity (PA) has been shown to be an important factor in the prevention of physical decline and in slowing the adverse effects of aging in the elderly population [4,5]. Thus, a type of exercise that integrates the development of various physical capacities in the same program could be particularly beneficial. This makes multicomponent training (MCT) one of the preferred forms of exercise for the aged population since it has been proven effective in improving various physical capacities (agility, upper limb strength, lower limb strength, and aerobic capacity [6]) and maintaining and improving the autonomy and the quality of life of older adults [7].
MCT has been defined as the combination of three or more training types within the same training program [6]. MCT brings together various physical training modalities, each one specific for the development of one or more physical capacities. It is suggested that MCT programs should be composed of a combination of endurance, strength, coordination, balance, and flexibility exercises [8]. However, in some cases, in the context of the aged population, some MCT proposals only include the work of some of these physical qualities to develop and maintain the functional capacity of older practitioners. Strength [9,10] and endurance [10,11] training are usually present in these exercise programs, accompanied by the work of other physical qualities. Occasionally, activities with a more playful and collective character are included, such as dance or music-based exercises that are used in the framework of balance or gait ability, which, in addition to fulfilling the main objective of developing a particular physical quality, are also effective in improving the intrinsic motivation for exercise [12,13].
The combination of various exercise types within an MCT program has shown its effectiveness in improving a series of physical, cognitive, and biochemical parameters [14,15,16,17]. MCT has been found to be effective in improving physical condition [6], gait ability [18], balance [12,19], reducing falls [20,21,22], reversing frailty [23], and reducing the risk of suffering from it [6,24,25]. Additionally, improvements in cognitive function [26] and biochemical parameters such as the lipid profile and antioxidant function [27] and even reducing risk factors for multiple comorbidities [13] are also effects attributed to MCT. Furthermore, MCT has been shown to increase motivation for exercise participation in this population, even more when performed collectively [7,28].
Considering that the elderly population is increasing in number, and the proven potential of MCT to improve and maintain functional capacity, quality of life, and the overall health of this population group [13,29,30,31,32], it is relevant to know more about the state of this field of research to identify relevant topics in the field, new emerging lines of investigation, and relevant publications and authors. Thus, it is necessary to conduct a bibliometric review as a method to provide transparency, objectivity, and a complete overview of a research topic, in this case multicomponent exercise. This study is the first bibliometric analysis of MCT in the aged population, which seeks to provide an overview of the state of the art in this area through the application of the traditional laws of bibliometrics. The main objectives of this study were to (1) study if there exists an exponential growth in the number of annual publications on MCT in the aged population; (2) identify the most prolific and prominent co-authors and the relevant groups of co-authors; (3) highlight the countries that publish more on the topic; (4) identify the journals that publish the most on this topic; and (5) identify the most frequently used keywords and the subtopics they generate.

2. Materials and Methods

2.1. Design

This study is a descriptive bibliometric analysis of research on MCT in the aged population. The publications included in this scientific mapping were from the Web of Science Core Collection, which is considered the reference database for bibliometric studies [33,34,35] since it provides basic information on the authors, journals, affiliations, countries, citations, and other information of the indexed documents [36].

2.2. Data Search Strategy

The search terms included were (a) multicomponent training (and its synonyms and similar terms) and (b) aged population (and its synonyms and similar terms). The search was conducted using the following tags: TI (title search), AB (abstract search), and AK (author keywords). The full search vector is described in Table 1.
The following inclusion criteria were defined:
  • Being an original study or review;
  • Aged or older adult participants;
  • Addressing MCT;
  • Study involving humans.
All studies published up to 22 November 2023 were considered. The document selection process was independently performed by two authors (D.P.P. and J.C.V.), and in case of disagreement on the inclusion or non-inclusion of a document, a third author resolved the dispute (J.P.G.).

2.3. Data Analysis

The data cleaning process was carried out by eliminating duplicates in co-authors and keywords. The process of data analysis assessed (a) the stage of development of the research topic, through Price’s Law, which studies the degree of fit of the annual growth in the number of publications with respect to an exponential ratio [37]. (b) Lotka’s law was applied to find the most prolific authors. To verify the result estimated by Lotka’s law, a discrete count of co-authors was performed, and the coefficient of determination (R2) was calculated in Microsoft Excel. To identify prominent authors, (1) the most cited papers were identified by applying the Hirsch index (h-index, the set of “h” papers with “h” or more citations); (2) the number of most cited papers presented by each of the prolific authors was checked; and (3) prolific authors with at least one highly cited paper were considered prominent authors [38]. (c) Bradford’s law of concentration of scientific production was applied, identifying those with the most publications as the core journals on the topic [39,40]. (d) Zipf’s Law was applied to study the co-occurrence of keywords and to highlight the most used on this topic [41,42]. This result was verified through a discrete counting of author keywords and their co-occurrences, and the power law was adjusted by calculating R2 in Microsoft Excel.
Data were retrieved from the WoS database in .xslx and plain text format and subsequently analyzed in Microsoft Excel for Microsoft 365 MSO version 2206 (Washington, DC, USA) and VoSViewer software v. 1.6.18 (Leiden, The Netherlands).

3. Results

The flowchart in Figure 1 shows the document selection process. Finally, 485 documents were included.

3.1. Annual Publication Trends

From 2001, the year of the first publication, to 2010, 38 documents were published in this area. This number increased by six times (239 papers) in the following decade (2011–2020) and has not stopped growing. Between 2001 and 2022, the increasing trend in publications was evident with an R2 of 98%, in line with an exponential growth rate (Figure 2).

3.2. Categories

The documents were the result of investigations in different areas of knowledge, as it was found that the documents included in this review were related to 64 different thematic categories in the WoS. Table 2 shows the main thematic categories in which the papers were listed, including the publishers that contributed the most papers to each category. The top categories were geriatrics gerontology (181 papers), sports sciences (84 papers), and gerontology (65 papers).

3.3. Authors and Documents

After eliminating duplicities and normalizing the names of the authors, 2292 different co-authors were found. It was estimated that the number of prolific authors should be equal to or less than 48 (square root of 2292). We found 54 authors with five or more papers and 41 authors with six or more papers; the latter were considered prolific authors. The range of papers per author was between 1 and 31 (Figure 3). Only one author had 31 documents on the topic, considered the most prominent, whereas 1883 authors limited their contribution to 1 document.
Figure 4 shows the prolific authors and the collaborative networks formed by them. A large production group (red cluster: 12 prolific authors) was found with the five most productive authors: M. Izquierdo (31 papers); M. López-Saez de Asteasu, N. Martínez-Velilla, and F. Zambom-Ferraresi (20 papers); and A. Casas-Herrero (17 papers). In terms of number of papers, J. Carvalho also stood out (17 papers), leading a small cluster together with P. Forte and A. Monteiro (6 papers).
When analyzing the number of times the documents were cited, it was found that the documents presented a range between 0 and 495 received citations. Figure 5 shows the h-index intercept, indicating that 52 papers had 54 or more citations. These 52 documents, with 54 citations or over, were considered the most cited on the topic (Table S1).
After analyzing the authors of the 52 most cited papers, 19 authors were identified as prominent authors. To be a prominent author, it was necessary to have published six or more papers and to present at least one paper among the most cited (with 54 or more citations). M. Izquierdo (31 papers, 1956 citations, 8 papers among the most cited); E. Cadore (10 papers, 1377 citations, 6 papers among the most cited); and L. Rodríguez-Manas (6 papers, 1676 citations, 6 papers among the most cited) stood out from the rest of the authors. These three authors belonged to the same production cluster (red cluster, Figure 4). Table 3 shows the prominent authors in the research area.

3.4. Countries

In the analysis of co-authorship by country, a total of 58 countries were found. Spain (98 documents, 3182 citations) was the country with the highest number of contributions. Other countries of note were Brazil (70 papers, 947 citations), USA (58 papers, 1881 citations), Portugal (49 papers, 588 citations), and Japan (33 papers, 901 citations). Figure 4 shows the 58 countries and the global production network formed by them. Five major production clusters were found: red (14 countries, with Germany, England, and Switzerland as the most productive countries); green (13 countries, with USA, Japan, and China among others); blue (11 countries, with very productive countries such as Spain, Brazil, and Portugal); pink (7 countries, including Canada, Finland, and Norway); and yellow (4 countries, with France as the main contributor) (Figure 6).

3.5. Journals

A total of 224 journals were found. The range of documents per journal was found to be between 1 and 23. Considering the number of documents, the journals were distributed into three zones: core (15 journals, 165 documents), Zone I (176 documents, 65 journals), and Zone II (144 documents, 144 journals). Table 4 shows Bradford’s zones and their indicators.
Table 4. Bradford’s zones.
Table 4. Bradford’s zones.
ZoneNumber of Documents on Thirds (%)Journals (%)Bradford MultipliersJournals (Theoretical Series)
CORE16534%157% 15 × (n0)15
ZONE I17636%6529%4.315 × (n1)49
ZONE II14430%14464%2.215 × (n2)161
TOTAL485100%224100%3.3 225
% Error−0.4%
The journals that encompassed the publication core are shown in Table 5. Among them were the International Journal of Environmental Research and Public Health (23 papers), BMC Geriatrics (21 papers), and Aging Clinical and Experimental Research (15 papers).
Table 5. Core journals in multicomponent training publications.
Table 5. Core journals in multicomponent training publications.
Journal NameDocumentsCitations
International Journal of Environmental Research and Public Health23176
BMC Geriatrics21411
Aging Clinical and Experimental Research15321
Experimental Gerontology14311
Journal of Aging and Physical Activity13209
Archives of Gerontology and Geriatrics11208
Journal of the American Medical Directors Association9423
Medicine and Science in Sports and Exercise91
Age and Ageing8171
Clinical Interventions in Aging8424
Nutrients888
Frontiers in Aging Neuroscience735
Geriatrics & Gerontology International7129
Medicine & Science in Sports & Exercise63
Osteoporosis International6354

3.6. Keywords

When analyzing author keywords, 821 terms were found. After the normalization process, 687 concepts were found. Applying Zipf’s law, it was estimated that the most important keywords should be the 26 most used (square root of 687) (Figure 7). Twenty-five keywords were found with 13 or more uses, and these were the most prominent in this subject matter. One keyword had 159 appearances, considered the most used, while 463 keywords appeared only one time on this research topic.
Table 6 shows the most used keywords and their frequency of use in this research area.
Figure 8 shows the co-occurrence analysis of these keywords. In this analysis, it was found that the keywords formed four clusters with the following colors and main themes: red (focused on strength, strength training, frailty, falls, and sarcopenia); green (focused on cognitive training and dual-task exercise); blue (focused on physical and cognitive function in the elderly); and yellow (focused on balance) (Figure 8).

4. Discussion

This is the first bibliometric analysis of the state of the art in MCT in the aged population. The present manuscript provides a systematic and quantitative analysis of the evolution of this research topic through all the documents found in WoS-indexed journals. The study of the 485 documents that met the inclusion criteria confirmed that research regarding MCT in the aged population is going through an exponential growth phase. Additionally, the present work provides information regarding the most relevant co-authors and works, the most prolific countries publishing on the topic, the journals most interested in this topic, and the frequent themes, identifying the most frequently used keywords.
From the year 2001, when the first item on the subject was published in a WoS-indexed journal, to 2022, the interest in this topic has increased, as evidenced by the exponential growth of the number of publications per year. In fact, PA in the older population has been a topic of growing interest from 2013 to 2021, as other bibliometric studies have shown [43]. Regarding PA and aging, an increase in the number of publications per year was reported from 1980 to 2014 [44]. Other investigations on the anti-aging effect of PA also reported an increase in the number of published items from 1991 to 2022 [45]. Unfortunately, there is no other bibliometric analysis about MCT in the elderly, but as the current research shows, the issue of PA in the aged population is a subject of growing interest. One of the reasons for this increased interest in MCT in the elderly may be due to the positive effects that this type of training has been shown to have [14,15,16,17], which encourages more research to be carried out in this area. At the same time, the growing number of elderly people [1] may be causing a boom in the use of this sector of the population as a study population since there would be a greater number of potential benefits derived from research involving this population.
The top three WoS categories in which journals published more on the subject were geriatrics gerontology, sports sciences, and gerontology. In terms of journals, 224 was the total number of published journals in this area. Notably, 15 of these journals formed the core journals on the topic. Among them, the top three most prolific were the International Journal of Environmental Research and Public Health, BMC Geriatrics, and Aging Clinical and Experimental Research. Other bibliometric studies regarding a great variety of topics have also found the International Journal of Environmental Research and Public Health as one of the journals with more publications; this may be due to the interdisciplinary approach of this journal [35,46,47].
The analysis of co-authors identified 41 co-authors with six or more publications on the subject, who were defined as prolific. At the same time, 19 prominent co-authors were found. The most highlighted co-author in both categories was Mikel Izquierdo, who had the highest number of publications and citations on this topic, and who in turn led the most outstanding cluster of co-authors on this topic, as revealed by the analysis of collaborations between co-authors. This cluster was mainly formed by authors from the Universidad Pública de Navarra and the Navarrabiomed Biomedical Research Center and included the top five authors with the highest number of publications on this topic and the top nine authors with the highest number of citations. This is because this collaborative group has published a large number of papers on this topic, and their works have had a significant impact and, consequently, have received a great number of citations. In fact, eight of the most cited papers on the subject were co-authored by members of this cluster [19,48,49,50,51,52,53,54].
The existence of such an outstanding group of collaboration in the field, as is the case with the aforementioned researchers, together with another important cluster (green cluster) formed entirely by authors affiliated with Spanish institutions, justifies the claim that Spain is the largest producer of scientific research in the field of MCT for the aged population and leads the most prominent inter-country collaboration group.
Finally, the most frequently used keywords and the frequency with which they were used together were analyzed to study the most common topics in this research field. Four clusters of keywords were found. One centered on strength training [55], sarcopenia [51], quality of life [56], and falls [57]. Another focused on cognitive training [58] and dual-task exercise [59]. Another revolved around cognitive [60] and physical functioning [61], and the final one focused on balance [6].
From this analysis, we can highlight that resistance training is one of the most frequently used forms of training in MCT [29,62]. Great importance is given to sarcopenia and falls in this population, which is linked to the balance cluster. This indicates that balance is one of the most sought-after targets for improvement in MCT research [19,29]. Additionally, cognitive training and dual-task exercise also stand out with some relevant publications that focus on the development and maintenance of cognitive and functional capacity in the aged population [63,64]. Other studies found that, in research about PA in older adults, the main groups of keywords were related to sarcopenia, cognition, frailty, mental health, and rehabilitation [44]. We can see that, in comparison with the present study, the keywords related to the different types of training are not so important, but nevertheless, the themes of cognition and falls are common. The analysis of the keywords allows us to identify some themes that have not been developed so far on this research topic yet and that may be of interest in the future. This is the case for mental health since no term related to it was among the most used keywords; this can be a potential field of study for future research given the proven effect of exercise on its improvement [65].

4.1. Practical Implications

The present bibliometric analysis offers a broad analysis of research in MCT and the aged population. The information here provided allows researchers to identify the journals that publish the most in this field, the topics that raised the greatest interest, the most prolific and prominent authors, and the referential works in this field of study. This information will help future researchers in the field to plan and orient their investigations, as well as to identify new lines of research.

4.2. Limitations

This work was only based on publications indexed in the WoS, which is a source of bias and constitutes the main limitation of this investigation. Additionally, although every effort was made to include all terms related to the subject matter in the search vector, some words linked to the topic may have been left out. This may have limited the number of documents included in the analysis.

5. Conclusions

This bibliometric analysis identified a total of 485 documents on MCT in the aged population. An exponential growth in the number of publications on the topic was found in the studied period from 2001 to 2022. Geriatrics gerontology, sports sciences, and gerontology were the three WoS categories with the highest number of publications on the subject.
The most prolific co-authors were Mikel Izquierdo (31 documents) and Mikel Lopez-Sáez de Asteasu, Nicolas Martinez-Velilla, and Fabricio Zambom-Ferraresi (with 20 documents each). Additionally, Eduardo Lusa Cadore, Leocadio Rodriguez-Manas, and Mikel Izquierdo stood out from the rest of the prominent co-authors. All of them, together with 13 other co-authors affiliated with Spanish institutions, belonged to a collaborative network that excelled in this area. Spain was identified as the most productive nation on the topic. Alongside Spain, Germany, USA, Canada, and France led the top five clusters of collaboration between countries.
Regarding journals, 15 of them with six or more publications each were identified as the core journals. The top three most prolific were the International Journal of Environmental Research and Public Health, BMC Geriatrics, and Aging Clinical and Experimental Research.
The most frequently addressed themes in this research area were focused on strength, sarcopenia, quality of life, falls, and balance. Cognitive and physical functioning, cognitive training, and dual-task exercise were other relevant subjects more related to functional and cognitive capacity, on which co-authors also published frequently.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/healthcare12151493/s1, Table S1: Most cited documents on the topic.

Author Contributions

Conceptualization, M.M.-M. and J.C.-V.; data curation, D.P.-P., Á.D.-Z., J.C.-V. and J.P.-G.; funding acquisition, M.M.-M.; methodology, D.P.-P., Á.D.-Z., J.C.-V. and J.P.-G.; project administration, J.P.-G.; resources, J.P.-G.; supervision, D.P.-P., J.M.F.-G. and J.C.-V.; writing—original draft preparation, D.P.-P.; writing—review and editing, Á.D.-Z., M.M.-M., J.M.F.-G., J.C.-V. and J.P.-G. All authors have read and agreed to the published version of the manuscript.

Funding

The author D.P.-P. was supported by a grant from the Spanish Ministry of Universities (FPU22/02260). The author M.M.-M. was supported by a grant from the Universities Ministry and the European Union (NextGenerationEU) (MS-12). The author A.D.-Z. (FPU20/04201) and the author J.M. F.-G. (FPU20/04143) were supported by a grant from the Spanish Ministry of Education, Culture, and Sport, grant FPU20/04201 and FPU20/04143, funded by MCIN/AEI/10.13039/501100011033, and, as appropriate, by “European Social Fund Investing in your future” and by “European Union NextGenerationEU/PRTR”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article and Supplementary Materials.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Grinin, L.; Grinin, A.; Korotayev, A. Global Aging and our Futures. World Futur. 2023, 79, 536–556. [Google Scholar] [CrossRef]
  2. World Health Organization. World Report on Ageing and Health; World Health Organization: Geneva, Switzerland, 2015. [Google Scholar]
  3. The National Institute on Aging. Understanding the Dynamics of the Aging Process [Internet]. The National Institute on Aging: Strategic Directions for Research, 2020–2025. Available online: https://www.nia.nih.gov/about/aging-strategic-directions-research/understanding-dynamics-aging (accessed on 20 February 2024).
  4. King, A.C.; King, D.K. Physical activity for an aging population. Public Health Rev. 2010, 32, 401–426. [Google Scholar] [CrossRef]
  5. Eckstrom, E.; Neukam, S.; Kalin, L.; Wright, J. Physical activity and healthy aging. Clin. Geriatr. Med. 2020, 36, 671–683. [Google Scholar] [CrossRef] [PubMed]
  6. Labata-Lezaun, N.; González-Rueda, V.; Llurda-Almuzara, L.; López-de-Celis, C.; Rodríguez-Sanz, J.; Bosch-Savater, J.; Vicente-Rodríguez, J.; Gorczakowska, D.; Araluze-Arizti, P.; Pérez-Bellmunt, A. Effectiveness of multicomponent training on physical performance in older adults: A systematic review and meta-analysis. Arch. Gerontol. Geriatr. 2022, 104, 104838. [Google Scholar] [CrossRef] [PubMed]
  7. Jofré-Saldía, E.; Villalobos-Gorigoitía, Á.; Cofré-Bolados, C.; Ferrari, G.; Gea-García, G.M. Multicomponent Training in Progressive Phases Improves Functional Capacity, Physical Capacity, Quality of Life, and Exercise Motivation in Community-Dwelling Older Adults: A Randomized Clinical Trial. Int. J. Environ. Res. Public Health 2023, 20, 2755. [Google Scholar] [CrossRef] [PubMed]
  8. Marques, E.; Carvalho, J.; Soares, J.; Marques, F.; Mota, J. Effects of resistance and multicomponent exercise on lipid profiles of older women. Maturitas 2009, 63, 84–88. [Google Scholar] [CrossRef] [PubMed]
  9. Bray, N.; Jones, G.; Rush, K.; Jones, C.; Jakobi, J.M. Multi-component exercise with high-intensity, free-weight, functional resistance training in pre-frail females: A quasi-experimental, pilot study. J. Frailty Aging 2020, 9, 111–117. [Google Scholar] [CrossRef] [PubMed]
  10. Theodorou, A.A.; Panayiotou, G.; Volaklis, K.A.; Douda, H.T.; Paschalis, V.; Nikolaidis, M.G.; Smilios, I.; Toubekis, A.; Kyprianou, D.; Papadopoulos, I.; et al. Aerobic, resistance and combined training and detraining on body composition, muscle strength, lipid profile and inflammation in coronary artery disease patients. Res. Sports Med. 2016, 24, 171–184. [Google Scholar] [CrossRef] [PubMed]
  11. Guedes, J.M.; Bortoluzzi, M.G.; Matte, L.P.; de Andrade, C.M.; Zulpo, N.C.; Sebben, V.; Tourinho Filho, H. Effects of combined training on the strength, endurance and aerobic power in the elderly women. Rev. Bras. Med. Esporte 2016, 22, 480–484. [Google Scholar] [CrossRef]
  12. Shubert, T.E.; McCulloch, K.; Hartman, M.; Giuliani, C.A. The effect of an exercise-based balance intervention on physical and cognitive performance for older adults: A pilot study. J. Geriatr. Phys. Ther. 2010, 33, 157–164. [Google Scholar] [CrossRef]
  13. Kemmler, W.; von Stengel, S.; Engelke, K.; Häberle, L.; Kalender, W.A. Exercise Effects on Bone Mineral Density, Falls, Coronary Risk Factors, and Health Care Costs in Older Women. Arch. Intern. Med. 2010, 170, 179–185. [Google Scholar] [CrossRef] [PubMed]
  14. Mulasso, A.; Roppolo, M.; Liubicich, M.E.; Settanni, M.; Rabaglietti, E. A multicomponent exercise program for older adults living in residential care facilities: Direct and indirect effects on physical functioning. J. Aging Phys. Act. 2015, 23, 409–416. [Google Scholar] [CrossRef] [PubMed]
  15. Puggaard, L. Effects of training on functional performance in 65, 75 and 85 year-old women: Experiences deriving from community based studies in Odense, Denmark. Scand. J. Med. Sci. Sports 2003, 13, 70–76. [Google Scholar] [CrossRef]
  16. Forte, R.; Boreham, C.A.G.; Leite, J.C.; De Vito, G.; Brennan, L.; Gibney, E.R.; Pesce, C. Enhancing cognitive functioning in the elderly: Multicomponent vs resistance training. Clin. Interv. Aging 2013, 8, 19–27. [Google Scholar] [CrossRef] [PubMed]
  17. Temprado, J.J.; Julien-Vintrou, M.; Loddo, E.; Laurin, J.; Sleimen-Malkoun, R. Cognitive functioning enhancement in older adults: Is there an advantage of multicomponent training over Nordic walking? Clin. Interv. Aging 2019, 14, 1503–1514. [Google Scholar] [CrossRef] [PubMed]
  18. Wolf, R.; Locks, R.R.; Lopes, P.B.; Bento, P.C.; Rodacki, A.L.; Carraro, A.N.; Pereira, G. Multicomponent exercise training improves gait ability of older women rather than strength training: A randomized controlled trial. J. Aging Res. 2020, 2020, 6345753. [Google Scholar] [CrossRef]
  19. Cadore, E.L.; Rodríguez-Mañas, L.; Sinclair, A.; Izquierdo, M. Effects of different exercise interventions on risk of falls, gait ability, and balance in physically frail older adults: A systematic review. Rejuvenation Res. 2013, 16, 105–114. [Google Scholar] [CrossRef]
  20. Rogers, M.W.; Creath, R.A.; Gray, V.; Abarro, J.; McCombe Waller, S.; Beamer, B.A.; Sorkin, J.D. Comparison of lateral perturbation-induced step training and hip muscle strengthening exercise on balance and falls in community-dwelling older adults: A blinded randomized controlled trial. J. Gerontol. Ser. A 2021, 76, e194–e202. [Google Scholar]
  21. Barnett, A.; Smith, B.; Lord, S.R.; Williams, M.; Baumand, A. Community-based group exercise improves balance and reduces falls in at-risk older people: A randomised controlled trial. Age Ageing 2003, 32, 407–414. [Google Scholar] [CrossRef]
  22. Ansai, J.H.; Aurichio, T.R.; Gonçalves, R.; Rebelatto, J.R. Effects of two physical exercise protocols on physical performance related to falls in the oldest old: A randomized controlled trial. Geriatr. Gerontol. Int. 2016, 16, 492–499. [Google Scholar]
  23. Tarazona-Santabalbina, F.J.; Gómez-Cabrera, M.C.; Pérez-Ros, P.; Martínez-Arnau, F.M.; Cabo, H.; Tsaparas, K.; Salvador-Pascual, A.; Rodriguez-Mañas, L.; Viña, J. A multicomponent exercise intervention that reverses frailty and improves cognition, emotion, and social networking in the community-dwelling frail elderly: A randomized clinical trial. J. Am. Med. Dir. Assoc. 2016, 17, 426–433. [Google Scholar] [CrossRef] [PubMed]
  24. Arrieta, H.; Rezola-Pardo, C.; Gil, S.M.; Virgala, J.; Iturburu, M.; Antón, I.; González-Templado, V.; Irazusta, J.; Rodriguez-Larrad, A. Effects of multicomponent exercise on frailty in Long-Term nursing homes: A randomized controlled trial. J. Am. Geriatr. Soc. 2019, 67, 1145–1151. [Google Scholar] [CrossRef] [PubMed]
  25. Arrieta, H.; Rezola-Pardo, C.; Zarrazquin, I.; Echeverria, I.; Yanguas, J.J.; Iturburu, M.; Gil, S.M.; Rodriguez-Larrad, A.; Irazusta, J. A multicomponent exercise program improves physical function in long-term nursing home residents: A randomized controlled trial. Exp. Gerontol. 2018, 103, 94–100. [Google Scholar] [CrossRef] [PubMed]
  26. Vaughan, S.; Wallis, M.; Polit, D.; Steele, M.; Shum, D.; Morris, N. The effects of multimodal exercise on cognitive and physical functioning and brain-derived neurotrophic factor in older women: A randomised controlled trial. Age Ageing 2014, 43, 623–629. [Google Scholar] [CrossRef] [PubMed]
  27. Carvalho, J.; Marques, E.; Ascensão, A.; Magalhães, J.; Marques, F.; Mota, J. Multicomponent exercise program improves blood lipid profile and antioxidant capacity in older women. Arch. Gerontol. Geriatr. 2010, 51, 1–5. [Google Scholar] [CrossRef] [PubMed]
  28. Kaushal, N.; Desjardins-Crépeau, L.; Langlois, F.; Bherer, L. The effects of multi-component exercise training on cognitive functioning and health-related quality of life in older adults. Int. J. Behav. Med. 2018, 25, 617–625. [Google Scholar] [CrossRef] [PubMed]
  29. Karinkanta, S.; Heinonen, A.; Sievänen, H.; Uusi-Rasi, K.; Pasanen, M.; Ojala, K.; Fogelholm, M.; Kannus, P. A multi-component exercise regimen to prevent functional decline and bone fragility in home-dwelling elderly women: Randomized, controlled trial. Osteoporos. Int. 2007, 18, 453–462. [Google Scholar] [CrossRef] [PubMed]
  30. López-López, S.; Abuín-Porras, V.; Berlanga, L.A.; Martos-Duarte, M.; Perea-Unceta, L.; Romero-Morales, C.; Pareja-Galeano, H. Functional mobility and physical fitness are improved through a multicomponent training program in institutionalized older adults. GeroScience 2023, 46, 1201–1209. [Google Scholar] [CrossRef] [PubMed]
  31. Haripriya, S.; Kumar, D.; Samuel, S.E.; Soman, A. Effect of a multi-component exercise program on functional mobility, exercise capacity and quality of life in older adults. Available online: https://openurl.ebsco.com/EPDB%3Agcd%3A6%3A13428214/detailv2?sid=ebsco%3Aplink%3Ascholar&id=ebsco%3Agcd%3A130930840&crl=c (accessed on 31 December 2023).
  32. Baptista, L.C.; Dias, G.; Souza, N.R.; Veríssimo, M.T.; Martins, R.A. Effects of long-term multicomponent exercise on health-related quality of life in older adults with type 2 diabetes: Evidence from a cohort study. Qual. Life Res. 2017, 26, 2117–2127. [Google Scholar] [CrossRef]
  33. Zhang, F.; Wang, H.; Bai, Y.; Zhang, H. A Bibliometric Analysis of the Landscape of Problem-Based Learning Research (1981–2021). Front. Psychol. 2022, 13, 828390. [Google Scholar]
  34. Calvo, L.G.; Puerto, J.M.G.; Beltrán, V.H.; Jiménez, J.M. Bibliometric analysis of studies on attitudes towards disability and inclusion in physical education teachers. Retos Nuevas. Tend. En Educ. Física Deporte Recreación 2024, 54, 188–197. [Google Scholar]
  35. Urbano-Mairena, J.; Castillo-Paredes, A.; Muñoz-Bermejo, L.; Denche-Zamorano, Á.; Rojo-Ramos, J.; Pastor-Cisneros, R.; Mendoza-Muñoz, M. A Bibliometric Analysis of Physical Literacy Studies in Relation to Health of Children and Adolescents. Children 2023, 10, 660. [Google Scholar] [CrossRef] [PubMed]
  36. Denche-Zamorano, A.; Escudero-Tena, A.; Pereira-Payo, D.; Adsuar, J.; Muñoz, D. Scientific mapping of the state-of-the-art in padel. A bibliometric analysis. Int. J. Sports Sci. Coach. 2023, 19, 1275–1285. [Google Scholar] [CrossRef]
  37. Price, D.d.S. A general theory of bibliometric and other cumulative advantage processes. J. Am. Soc. Inf. Sci. 1976, 27, 292–306. [Google Scholar] [CrossRef]
  38. Coile, R.C. Lotka’s Frequency Distribution of Scientific Productivity. J. Am. Soc. Inf. Sci. 1977, 28, 366–370. [Google Scholar] [CrossRef]
  39. Desai, N.; Veras, L.; Gosain, A. Using Bradford’s law of scattering to identify the core journals of pediatric surgery. J. Surg. Res. 2018, 229, 90–95. [Google Scholar] [CrossRef] [PubMed]
  40. Morse, P.M.; Leimkuhler, F.F. Exact solution for the Bradford distribution and its use in modeling informational data. Oper. Res. 1979, 27, 187–198. [Google Scholar] [CrossRef]
  41. Zipf, G.K. Selected Studies of the Principle of Relative Frequency in Language; Harvard University Press: Cambridge, MA, USA, 1932. [Google Scholar]
  42. Valderrama-Zurián, J.C.; García-Zorita, C.; Marugán-Lázaro, S.; Sanz-Casado, E. Comparison of MeSH terms and KeyWords Plus terms for more accurate classification in medical research fields. A case study in cannabis research. Inf. Process. Manag. 2021, 58, 102658. [Google Scholar] [CrossRef]
  43. Luo, Y.X.; Zhu, Y.H.; Yao, X.Q. Knowledge mapping of exercise and physical activity research in older adults: Hotspots, bursts, and trends of the last decade. Heliyon 2023, 9, e23181. [Google Scholar] [CrossRef]
  44. Müller, A.M.; Ansari, P.; Ebrahim, N.A.; Khoo, S. Physical activity and aging research: A bibliometric analysis. J. Aging Phys. Act. 2016, 24, 476–483. [Google Scholar] [CrossRef]
  45. Choi, Y.; Kim, D.; Kim, S.K. Advancements in the Anti-aging Effects of Physical Activity: Bibliometric- and Meta-Analyses. Healthcare 2024, 12, 197. [Google Scholar] [CrossRef] [PubMed]
  46. Denche-Zamorano, Á.; Barrios-Fernandez, S.; Mendoza-Muñoz, M.; Carlos-Vivas, J.; Vega-Muñoz, A.; Collado-Mateo, D.; Olivares, P.R.; Adsuar, J.C. Fibromyalgia, Pain, and Physical Activity: A Bibliometric Analysis. Int. J. Environ. Res. Public Health 2023, 20, 1335. [Google Scholar] [CrossRef] [PubMed]
  47. Fresno-Alba, S.; Denche-Zamorano, A.; Pastor-Cisneros, R.; Pereira-Payo, D.; Franco-García, J.; Jimenez-Castuera, R. Breast cancer and physical activity: A bibliometric analysis. Front. Oncol. 2022, 12, 1051482. [Google Scholar] [CrossRef] [PubMed]
  48. Izquierdo, M.; Merchant, R.; Morley, J.; Anker, S.; Aprahamian, I.; Arai, H.; Aubertin-Leheudre, M.; Bernabei, R.; Cadore, E.L.; Cesari, M.; et al. International Exercise Recommendations in Older Adults (ICFSR): Expert Consensus Guidelines. J. Nutr. Health Aging 2021, 25, 824–853. [Google Scholar] [CrossRef] [PubMed]
  49. Martínez-Velilla, N.; Casas-Herrero, A.; Zambom-Ferraresi, F.; de Asteasu, M.L.S.; Lucia, A.; Galbete, A.; García-Baztán, A.; Alonso-Renedo, J.; González-Glaría, B.; Gonzalo-Lázaro, M.; et al. Effect of exercise intervention on functional decline in very elderly patients during acute hospitalization: A randomized clinical trial. JAMA Intern. Med. 2019, 179, 28–36. [Google Scholar] [CrossRef] [PubMed]
  50. Cadore, E.L.; Moneo, A.B.B.; Mensat, M.M.; Muñoz, A.R.; Casas-Herrero, A.; Rodriguez-Mañas, L.; Izquierdo, M. Positive effects of resistance training in frail elderly patients with dementia after long-term physical restraint. Age 2014, 36, 801–811. [Google Scholar] [CrossRef]
  51. Cadore, E.L.; Casas-Herrero, A.; Zambom-Ferraresi, F.; Idoate, F.; Millor, N.; Gómez, M.; Rodríguez-Mañas, L.; Izquierdo, M. Multicomponent exercises including muscle power training enhance muscle mass, power output, and functional outcomes in institutionalized frail nonagenarians. Age 2014, 36, 773–785. [Google Scholar] [CrossRef]
  52. de Asteasu, M.L.S.; Martinez-Velilla, N.; Zambom-Ferraresi, F.; Casas-Herrero, A.; Izquierdo, M. Role of physical exercise on cognitive function in healthy older adults: A systematic review of randomized clinical trials. Ageing Res. Rev. 2017, 37, 117–134. [Google Scholar] [CrossRef] [PubMed]
  53. Cadore, E.L.; de Asteasu, M.L.S.; Izquierdo, M. Multicomponent exercise and the hallmarks of frailty: Considerations on cognitive impairment and acute hospitalization. Exp. Gerontol. 2019, 122, 10–14. [Google Scholar] [CrossRef]
  54. Cadore, E.L.; Izquierdo, M. Exercise interventions in polypathological aging patients that coexist with diabetes mellitus: Improving functional status and quality of life. Age 2015, 37, 64. [Google Scholar] [CrossRef]
  55. Xie, S.; Li, S.; Shaharudin, S. The effects of combined exercise with citrulline supplementation on body composition and lower limb function of overweight older adults: A systematic review and meta-analysis. J. Sports Sci. Med. 2023, 22, 541. [Google Scholar] [CrossRef] [PubMed]
  56. Lau, L.K.; Tou, N.X.; Jabbar, K.A.; Tang, J.Y.; Gao, J.; Ding, Y.Y.; Ng, Y.S. The effects of exercise interventions on physical performance and activities of daily living in oldest-old and frail older adults: A review of the literature. Am. J. Phys. Med. Rehabil. 2023, 102, 939–949. [Google Scholar] [CrossRef] [PubMed]
  57. Freiberger, E.; Häberle, L.; Spirduso, W.W.; Rixt Zijlstra, G.A. Long-term effects of three multicomponent exercise interventions on physical performance and fall-related psychological outcomes in community-dwelling older adults: A randomized controlled trial. J. Am. Geriatr. Soc. 2012, 60, 437–446. [Google Scholar] [CrossRef] [PubMed]
  58. Chuang, I.C.; Chen, I.C.; Su, K.H.; Wu, Y.R.; Wu, C.Y. The effects of high versus low frequency of combined physical and cognitive training on cognitive function in older adults with cognitive decline: A quasi-experimental study. BMC Geriatr. 2023, 23, 94. [Google Scholar] [CrossRef] [PubMed]
  59. Rezola-Pardo, C.; Irazusta, J.; Mugica-Errazquin, I.; Gamio, I.; Sarquis-Adamson, Y.; Gil, S.M.; Ugartemendia, M.; Montero-Odasso, M.; Rodriguez-Larrad, A. Effects of multicomponent and dual-task exercise on falls in nursing homes: The Ageing on Dual-Task study. Maturitas 2022, 164, 15–22. [Google Scholar] [CrossRef] [PubMed]
  60. Ghodrati, N.; Haghighi, A.H.; Kakhak, S.A.H.; Abbasian, S.; Goldfield, G.S. Effect of combined exercise training on physical and cognitive function in women with type 2 diabetes. Can. J. Diabetes 2023, 47, 162–170. [Google Scholar] [CrossRef] [PubMed]
  61. Rosado, H.; Bravo, J.; Raimundo, A.; Carvalho, J.; Marmeleira, J.; Pereira, C. Effects of two 24-week multimodal exercise programs on reaction time, mobility, and dual-task performance in community-dwelling older adults at risk of falling: A randomized controlled trial. BMC Public Health 2021, 21, 408. [Google Scholar] [CrossRef] [PubMed]
  62. Mador, M.J.; Bozkanat, E.; Aggarwal, A.; Shaffer, M.; Kufel, T.J. Endurance and strength training in patients with COPD. Chest 2004, 125, 2036–2045. [Google Scholar] [CrossRef]
  63. Eggenberger, P.; Schumacher, V.; Angst, M.; Theill, N.; de Bruin, E.D. Does multicomponent physical exercise with simultaneous cognitive training boost cognitive performance in older adults? A 6-month randomized controlled trial with a 1-year follow-up. Clin. Interv. Aging 2015, 10, 1335–1349. [Google Scholar]
  64. Desjardins-Crépeau, L.; Berryman, N.; Fraser, S.A.; Vu, T.T.M.; Kergoat, M.J.; Li, K.Z.; Bosquet, L.; Bherer, L. Effects of combined physical and cognitive training on fitness and neuropsychological outcomes in healthy older adults. Clin. Interv. Aging 2016, 11, 1287–1299. [Google Scholar] [CrossRef]
  65. Smith, P.J.; Merwin, R.M. The role of exercise in management of mental health disorders: An integrative review. Annu. Rev. Med. 2021, 72, 45–62. [Google Scholar] [CrossRef] [PubMed]
Figure 1. PRISMA 2020 flow diagram to describe the document selection process.
Figure 1. PRISMA 2020 flow diagram to describe the document selection process.
Healthcare 12 01493 g001
Figure 2. The trend in annual publications of multicomponent training.
Figure 2. The trend in annual publications of multicomponent training.
Healthcare 12 01493 g002
Figure 3. Histogram with the number of authors according to the number of published papers.
Figure 3. Histogram with the number of authors according to the number of published papers.
Healthcare 12 01493 g003
Figure 4. Graph showing the production networks formed by the prolific authors.
Figure 4. Graph showing the production networks formed by the prolific authors.
Healthcare 12 01493 g004
Figure 5. Graph representing the application of the h-index. Cut-off point: 52 documents and 54 citations.
Figure 5. Graph representing the application of the h-index. Cut-off point: 52 documents and 54 citations.
Healthcare 12 01493 g005
Figure 6. Inter-country production networks. Five major production clusters: red (14 countries), green (13 countries), blue (11 countries), pink (7 countries), and yellow (4 countries).
Figure 6. Inter-country production networks. Five major production clusters: red (14 countries), green (13 countries), blue (11 countries), pink (7 countries), and yellow (4 countries).
Healthcare 12 01493 g006
Figure 7. Relationship between the number of keywords and the number of keywords used by authors.
Figure 7. Relationship between the number of keywords and the number of keywords used by authors.
Healthcare 12 01493 g007
Figure 8. Author keywords’ co-occurrence graph. Four clusters of keywords were formed: red (strength, frailty, falls, and sarcopenia); green (cognitive training and dual-task exercise); blue (physical and cognitive function); and yellow (balance).
Figure 8. Author keywords’ co-occurrence graph. Four clusters of keywords were formed: red (strength, frailty, falls, and sarcopenia); green (cognitive training and dual-task exercise); blue (physical and cognitive function); and yellow (balance).
Healthcare 12 01493 g008
Table 1. Search vector.
Table 1. Search vector.
TI = ((“combined training” OR “combined exercise” OR “multi-component training” OR “multi-component exercise” OR “multicomponent training” OR “multicomponent exercise”) AND (“aged” OR “old people” OR “older people” OR “older adults” OR “old adults” OR “elderly” OR “senior” OR “geriatric” OR “frail”)) OR (AB = ((“combined training” OR “combined exercise” OR “multi-component training” OR “multi-component exercise” OR “multicomponent training” OR “multicomponent exercise”) AND (“aged” OR “old people” OR “older people” OR “older adults” OR “old adults” OR “elderly” OR “senior” OR “geriatric” OR “frail”))) OR (AK = ((“combined training” OR “combined exercise” OR “multi-component training” OR “multi-component exercise” OR “multicomponent training” OR “multicomponent exercise”) AND (“aged” OR “old people” OR “older people” OR “older adults” OR “old adults” OR “elderly” OR “senior” OR “geriatric” OR “frail”)))
Table 2. Main thematic categories to which the documents were related.
Table 2. Main thematic categories to which the documents were related.
Web of Sciences CategoriesNumber of DocumentsProlific PublishersNumber of Documents
1Geriatrics Gerontology181Springer Nature91
2Sports Sciences84Elsevier68
3Gerontology65MDPI56
4Public Environmental Occupational Health42Wiley28
5Medicine General Internal34Frontiers Media Sa26
Table 3. Prominent authors on this topic (in no particular order).
Table 3. Prominent authors on this topic (in no particular order).
Author NameTotal DocumentsCitationsPapers among Most Cited Orcid
Izquierdo, M.31195680000-0002-1506-4272
Cadore, E.10137760000-0003-4397-9485
Rodriguez-Manas, L.6167660000-0002-6551-1333
Lopez-Saez de Asteasu, M.2071030000-0002-4111-5045
Martínez-Velilla, N.2065420000-0001-9576-9960
Zambom-Ferraresi, F.2080330000-0002-8377-9827
Casas-Herrero, A.1799040000-0001-8430-8368
Carvalho, J.1526320000-0001-6500-7543
Ramírez-Velez, R.1138310000-0003-3075-6960
Shimada, H.1036020000-0001-8111-6440
Casajús, J.927110000-0002-7215-6931
Vicente-Rodríguez, G.927410000-0002-4303-4097
Ara, I.826210000-0002-2854-6684
Garcia-Hermoso, A.833410000-0002-1397-7182
Gomez-Cabello, A.827110000-0001-6492-2512
Park, H.728810000-0002-1976-0005
Galbete, A.636910000-0001-5622-5418
Makizako, H.633820000-0001-9898-675X
Uemura, K.622910000-0003-1101-3424
Table 6. More frequently used concepts on this topic.
Table 6. More frequently used concepts on this topic.
PositionKeywordAppearances
1Exercise159
2Older adults72
3Aging70
4Elderly56
5Frailty46
6Muscle strength39
7Physical activity37
8Resistance training33
9Physical exercise32
10Cognition31
11Falls27
12Quality of life25
13Aged24
14Physical fitness23
15Multicomponent exercise22
16Physical function21
17Balance20
18Multicomponent training20
19Sarcopenia20
20Combined training19
21Randomized controlled trial19
22Cognitive function15
23Dual task15
24Combined exercise14
25Cognitive training13
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Pereira-Payo, D.; Denche-Zamorano, Á.; Mendoza-Muñoz, M.; Franco-García, J.M.; Carlos-Vivas, J.; Pérez-Gómez, J. Trends in Multicomponent Training Research in the Aged Population: A Bibliometric Analysis. Healthcare 2024, 12, 1493. https://doi.org/10.3390/healthcare12151493

AMA Style

Pereira-Payo D, Denche-Zamorano Á, Mendoza-Muñoz M, Franco-García JM, Carlos-Vivas J, Pérez-Gómez J. Trends in Multicomponent Training Research in the Aged Population: A Bibliometric Analysis. Healthcare. 2024; 12(15):1493. https://doi.org/10.3390/healthcare12151493

Chicago/Turabian Style

Pereira-Payo, Damián, Ángel Denche-Zamorano, María Mendoza-Muñoz, Juan Manuel Franco-García, Jorge Carlos-Vivas, and Jorge Pérez-Gómez. 2024. "Trends in Multicomponent Training Research in the Aged Population: A Bibliometric Analysis" Healthcare 12, no. 15: 1493. https://doi.org/10.3390/healthcare12151493

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop