Next Article in Journal
Effects of Work Stress and Period3 Gene Polymorphism and Their Interaction on Sleep Quality of Non-Manual Workers in Xinjiang, China: A Cross-Sectional Study
Previous Article in Journal
Relationship between Self-Perception of Aging and Quality of Life in the Different Stages of Reproductive Aging in Mexican Women
Previous Article in Special Issue
Review on Cardiorespiratory Complications after SARS-CoV-2 Infection in Young Adult Healthy Athletes
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJERPH
Volume 19
Issue 11
10.3390/ijerph19116841
ijerph-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Is Subjective Age Associated with Physical Fitness in Community-Dwelling Older Adults?

by
Jin Wang
1,
Jiabin Yu
1,2 and
Xiaoguang Zhao
1,2,*
1
Faculty of Sport Science, Ningbo University, Ningbo 315211, China
2
Research Academy of Grand Health, Ningbo University, Ningbo 315211, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(11), 6841; https://doi.org/10.3390/ijerph19116841
Submission received: 12 May 2022 / Revised: 29 May 2022 / Accepted: 2 June 2022 / Published: 3 June 2022
(This article belongs to the Special Issue Physical Fitness and Health Outcomes throughout the Life Span)
Browse Figure
Versions Notes

Abstract

:
Although subjective age has been associated with a range of health-related outcomes, there has been little systematic study on the relationship between the subjective age and physical fitness in a given population. The purpose of this study was to determine the prospective association between subjective age and physical fitness in community-dwelling older adults. A sample of 276 older people who lived in the community was studied. Subjective age was measured by a face-to-face interview. Grip strength, balancing on one leg with eyes open, the 30 s chair stand test, 4 m habitual walk, and 6 min walk test were measured to reflect physical fitness. Results indicated that the felt younger older adults had a higher level of physical fitness compared to their felt older and felt the same counterparts. Multiple linear regression analysis indicated that all the measured physical fitness items were significantly associated with subjective age in older men. All of the measured physical fitness items except for the 4 m habitual walk were remarkably related to subjective age in older women. The findings suggest that subjective age is closely associated with physical fitness in community-dwelling older adults. Much attention should be paid to the promotion of physical fitness to improve the subjective age of older adults.

1. Introduction

Aging is an unavoidable physiological process. Chronological age and subjective age are considered to be two important concepts and are frequently used as proxies for aging. In the scientific community, chronological age has been generally utilized when dividing individuals into different age groups [1,2]. However, in the gerontology field, chronological age seems to be less important than it is projected to be, especially for the oldest adults. This is because even if persons have the same chronological age, their degree of aging and overall health may differ from person to person, affected by factors such as familial heredity, diseases, physical activity, and eating habits [3,4,5]. Thus, chronological age is not a perfect measure for assessing one’s degree of aging and overall health.
Subjective age, or felt age (how young or old a person feels relative to chronological age), is another concept that affects aging. Subjective age has attracted growing attention in the last decade since it is shown to be related to a range of health-related outcomes in older people [6]. A great number of studies have documented that older subjective age is consistently associated with worse mental and cognitive health [7,8], poor sleep quality [9], lower overall functioning [10,11], and higher morbidity and mortality [12,13]. Furthermore, subjective age has been found to mediate the association between aging and a range of health-related outcomes [14,15]. It has been reported that subjective age, as a biopsychosocial marker of aging, can predict a series of psychological and physical health outcomes [16,17]. Although subjective age has been associated with a range of health-related outcomes, to our knowledge, there has been little systematic study on the relationship between subjective age and physical fitness in a given population.
There are reasons why we expected that an association exists between subjective age and physical fitness in older adults. It is widely accepted that physical fitness has a range of physical, psychological, and cognitive benefits that have also been found to be associated with subjective age in older adults. Specifically, older adults with a higher level of physical fitness generally have better mental and cognitive health [18,19], lower incidence of chronic diseases [20], higher quality of life [21], and lower morbidity and mortality [22]. These health-related outcomes have been reported to more or less relate to subjective age in older adults. Moreover, although there are no systematic studies on physical fitness, two previous studies have proven, respectively, that older people with a younger subjective age generally have a faster walking speed and a greater grip strength score than those with an older subjective age [23,24]. The major limitation of these studies is that only one measure was selected to reflect physical function or physical fitness.
Although it is reasonable to postulate that physical fitness is related to subjective age, how many and how well physical fitness components are linked to subjective age in a given population are not clear. Therefore, the present study aimed to determine the relationship between subjective age and physical fitness, and figure out which aspects of physical fitness components are closely related to subjective age in community-dwelling older adults. It is hypothesized that a younger subjective age would be associated with a higher level of physical fitness in community-dwelling older adults.

2. Materials and Methods

2.1. Participants

We carried out this cross-sectional study during the period from March 2019 to 31 July 2019 in Ningbo city in China. Participants were recruited in the study through community health service centers close to our university by adopting a convenience sampling method. Our participants came from different communities and had to comply with the study criteria. The inclusion criteria for our study were as follows: participants (1) aged 65 years and older; (2) lived in communities; (3) were able to accomplish all the physical fitness tests; and (4) agreed to participate in the study. The exclusion criteria for the study were as follows: participants (1) had cardiovascular diseases such as myocardial infarction, stroke, and coronary heart disease, and (2) had musculoskeletal diseases including joint and muscle pain and lower limb arthritis, which impact physical activities.
A flow diagram of the participant’s inclusion is shown in Figure 1. At first, 401 older adults responded to our recruitment, but 27 of them did not attend, 25 older adults were out of touch, and 41 and 32 older adults were excluded from the analysis, respectively, because of the exclusion criteria and incomplete tests. As a result, the study was carried out with the participation of 276 community-dwelling older adults. Before the test, the study’s purposes and procedures were explained to each participant by an experienced researcher (a sports medicine physician) and then the participant was requested to sign a written informed consent form. The research protocol was reviewed and approved by the Human Ethics Board of Ningbo University (approval number: RAGH2019011601).

2.2. Procedures

All of the measurements were conducted on the same day (9:00 a.m. to 5:00 p.m.) in two phases. In the first phase, the subjective age was collected for each participant through a face-to-face interview by an experienced researcher. The measurements for the subjective age involved in our study have been detailed in previous studies [11,15,16,17]. In the second phase, the physical fitness was reflected by assessing the muscle strength, balance, muscle endurance, usual gait speed, and cardiopulmonary endurance. Referring to previous studies [4,5,25,26], a series of test items including grip strength, balancing on one leg with eyes open, the 30 s chair stand test, 4 m habitual walk, and 6 min walk test were selected in our study. Before the test, all participants conducted a 5 min warm-up and were then familiarized with the different test items. The test items above-mentioned were measured by trained testers in a random order. The entire measurements for each participant took approximately one hour.

2.3. Subjective Age Measurement

Subjective age, or felt age, was measured by asking the participants to report how old they felt in years at the time of the face-to-face interview. According to previous studies [15,16,17], a proportional age discrepancy score, which is calculated by subtracting the chronological age from the felt age and dividing by the chronological age, is used frequently to indicate subjective age. A positive score of the proportional age discrepancy represents the participants with a younger subjective age than their chronological age, while a negative score represents the participants with an older subjective age compared to their chronological age. In this study, the participants were divided into three groups: the felt younger group (subjective age < chronological age), felt the same group (subjective age = chronological age), and felt older group (subjective age > chronological age) based on their proportional age discrepancy scores.

2.4. Physical Fitness Measurement

Grip strength: A dynamometer (Grip-D5101, Takei, Japan) was used to assess the grip strength. Participants were asked to hold the dynamometer in their preferred hands with arms down the sides of their body, and then clenched the handle with maximum force. There were two trials for this test with a 30 s rest between trials. The maximum reading to the nearest kilogram (kg) was recorded for data analysis.
Balancing on one leg with eyes open: Participants were requested to maintain body balance with their eyes open and hands touching the waist. During the tests, the participants were asked to use their preferred foot to stand and the other foot left the ground. The record was the number of seconds (s) between the time of the non-preferred foot left the ground and the time that balance was lost. Two trials were given, and the maximum number of seconds was used for further analysis.
The 30 s chair stand test: Participants were asked to sit on a chair (45-cm height without armrests) until their feet were placed on the ground with their arms crossed in front of their chest. During the tests, the participants were requested to stand up until their hip and knee were extended fully, and then sit down. The participants were told to repeat this movement as fast as possible for 30 s. There were two trials for this test, and the maximum number of repetitions within 30 s (repetitions/30 s) was recorded for data analysis.
The 4 m habitual walk: There was a 10 m straight course for this test. Participants were asked to walk at their habitual speed on the straight course. To minimize the impact of acceleration phases, we measured the number of seconds (s) between the time of the 3-m mark and the 7-m mark during the tests. Two trials were given, and the minimum number of seconds was used for further analysis.
The 6 min walk test: Before the test, the participants were asked to sit on chairs to rest for about 5 min at the start area, and they were asked to walk but not run for 6 min. During the tests, the testers informed the participants of the consumed time in each minute and encouraged them to continue walking as fast as possible. After the test, we measured the meters (m) of the walking distance for every participant. Only one trial was given for this test.

2.5. Statistical Analysis

We used the descriptive statistics to present an overview of the dataset. All of the measured subjective age and physical fitness parameters are shown as the means with standard deviations. The normality of the variables was evaluated using the Shapiro–Wilk test. One-way analysis of variance was employed to compare the differences in the physical fitness items among three groups, namely, the felt younger group, felt the same group, and felt older group. A Bonferroni post-hoc test was performed to compare the differences between the different groups. Multiple linear regression analysis (enter) was employed to obtain the main physical fitness components that were significantly associated with subjective age in community-dwelling older adults. The age discrepancy score was set as the dependent variable and the physical fitness items were set as independent variables. The analysis of data was executed using the IBM Statistical Package for Social Sciences software (SPSS version 25.0; SPSS Inc., Chicago, IL, USA), and the level of the statistically significant difference was set at p < 0.05.

3. Results

A total of 94 older men and 182 older women in the community were involved in the final analysis. The basic characteristics of the participants are presented in Table 1. The mean chronological age was 71.21 ± 5.04 and 70.71 ± 4.82 years, the mean subjective age was 69.09 ± 7.77 and 69.85 ± 7.11 years, and the mean age discrepancy score was 0.03 ± 0.06 and 0.01 ± 0.05 for older men and women, respectively. It was also found that older men had a better physical fitness than older women.
For older men, there were statistical differences in all of the measured physical fitness items among the felt younger group, felt the same group, and felt older group (p < 0.01). The post hoc test showed significant differences in all the measured physical fitness items between the felt younger group and the felt older group, significant differences in all the measured physical fitness items except for balancing on one leg with eyes open between the felt younger group and felt the same group (p < 0.05), and no significant differences in all the measured physical fitness items between the felt the same group and felt older group (Table 2); for older women, there were statistical differences in all of the measured physical fitness items among the felt younger group, felt the same group, and felt older group (p < 0.05). The post hoc test indicated significant differences in all the measured physical fitness items between the felt younger group and the felt older group, significant differences in all of the measured physical fitness items except the 4-m habitual walk between the felt younger group and felt the same group (p < 0.05), and no significant differences in all of the measured physical fitness items except for the 6-min walk test between the felt the same group and felt older group (Table 2).
The results of the multiple linear regression analysis between the age discrepancy score and physical fitness items can be seen in Table 3. For older men, all of the measured physical fitness items were the main components that were significantly associated with the subjective age (p < 0.05). The explanatory power of subjective age formed by grip strength, balancing on one leg with eyes open, 30 s chair stand test, 4 m habitual walk, and 6 min walk test was 85% (F = 46.35, p < 0.001). For older women, all of the measured physical fitness items except for the 4 m habitual walk were the main components that were remarkably related to subjective age (p < 0.05). The explanatory power of the subjective age developed by grip strength, balancing on one leg with eyes open, 30 s chair stand test, 4 m habitual walk, and 6 min walk test was 54% (F = 41.16, p < 0.001).

4. Discussion

This is the first cross-sectional research, to the best of our knowledge, to systematically study the relationship between subjective age and physical fitness, and find out which aspects of the physical fitness components are closely related to subjective age in a given population. The current study showed that the felt younger older adults had a higher level of physical fitness compared to their felt older and felt the same counterparts. Further analysis indicated that all of the measured physical fitness items including grip strength, balancing on one leg with eyes open, the 30 s chair stand test, 4 m habitual walk, and 6min walk test were significantly associated with subjective age in older men. All of the measured physical fitness items except for the 4 m habitual walk were remarkably related to subjective age in older women. The findings suggest that subjective age is associated with physical fitness in community-dwelling older adults.
Muscular strength is one of the most important components of physical fitness and is frequently assessed by grip strength. It has been found that grip strength is an independent predictor for a range of health-related outcomes such as bone mineral density [27], all-cause mortality, and cardiovascular diseases [28]. Moreover, Stephan and collaborators [24] reported that grip strength was closely associated with subjective age in older persons where the result was similar to our findings. In our study, the felt younger older adults were found to have a greater grip strength compared to their felt older and felt the same counterparts. The multiple linear regression analysis showed that the grip strength was significantly related to subjective age. Given the above, these findings suggest that muscle strength is an important physical fitness component that is closely linked to subjective age in community-dwelling older adults.
In the present study, body balance and muscle endurance were reflected by balancing on one leg with eyes open and the 30 s chair stand test, respectively. Our results revealed that body balance and muscle endurance are significantly related to subjective age in older adults. In previous studies, although there was no direct evidence, indirect evidence could prove that subjective age is associated with body balance and muscle endurance. For instance, Li et al. [11], using a large sample of community-dwelling older people, found that adults with older subjective age than their chronological age were more likely to develop pre-frailty and frailty. It has been reported that body balance and muscle endurance, together with age and chronic diseases, are key risk factors for pre-frailty and frailty in the older population [29,30]. These studies indirectly confirm that an association exists between subjective age and body balance and muscle endurance.
Gait speed is a frequently used assessment tool and outcome measure in geriatric research and clinical settings. Gait speed has been considered as a predictor of functional decline and adverse health outcomes in older people [31,32]. The present study found that the felt younger participants had a faster walking speed compared to the felt older counterparts. Similarly, a large-sample study using linear regression analysis revealed that a younger subjective age than their chronological age was linked with faster gait speed in older persons [23]. Additionally, another previous study also documented that subjective age was connected to laboratory gait speed in older adults [33]. In light of these findings, it can be concluded that gait speed is also an indispensable physical fitness component that is closely related to subjective age in older people.
Cardiopulmonary endurance reflects the ability to perform an activity or exercise for long periods of time and generally refers to aerobic ability. Previous studies have documented that reduced cardiopulmonary endurance is related to an increased risk of developing functional decline and cognitive impairment in older people [34,35,36]. Functional decline and cognitive impairment have been reported to more or less be associated with subjective age [7,8,11]. This implies that there is a relationship between cardiopulmonary endurance and subjective age. The present study confirmed the above hypothesis. We used the 6 min walk test to evaluate cardiopulmonary endurance, finding that the 6 min walk distance was significantly associated with subjective age.
From a health perspective, much attention should be paid to older people who have an older subjective age than their chronological age due to a lower level of physical fitness. It is known that physical fitness is modifiable [37], and studies have shown that increased physical activity or exercise can enhance physical fitness [38,39,40,41,42]. Therefore, interventions to enhance physical fitness may be beneficial to improve the subjective age for older adults. Much attention should be paid to the promotion of physical fitness in improving the subjective age of older adults. Furthermore, longitudinal research is needed to determine the cause-and-effect relationship between physical fitness and subjective age in community-dwelling older adults.
This study has multiple limitations. First, the study’s findings were obtained based on community-dwelling older adults without cardiovascular diseases and musculoskeletal diseases. Thus, these findings may be inapplicable to other populations such as nursing home residents and unhealthy older people. Moreover, the study was a cross-sectional study, which does not allow us to reach any conclusions on the cause-and-effect association between physical fitness and subjective age. Third, subjective age was assessed by asking the participants a question in our study. This method has been challenged by several scholars, and they argued that the concept of subjective age cannot be assessed by a single question because of its multidimensionality [43,44,45]. Fourth, several confounding factors such as dietary nutrition, physical activity, and body composition were not considered in our study. These factors may have had an impact on the study results. Furthermore, although all the measurements of the participants were collected on the same day (9:00 a.m. to 5:00 p.m.), the time of day may influence the measurement results obtained by the participants. Finally, the detailed mechanisms of the association between physical fitness and subjective age were not clear. Future studies are needed to consider these limitations.

5. Conclusions

In summary, this study aimed to investigate the prospective relationship between subjective age and physical fitness and find out which aspects of the physical fitness components are closely related to subjective age, which augments our knowledge about physical fitness and subjective age. The findings suggest that subjective age is closely associated with physical fitness in community-dwelling older adults.

Author Contributions

Conceptualization, X.Z.; Methodology, J.Y.; Software, J.W.; Formal analysis, X.Z.; Investigation, J.W.; Resources, X.Z.; Data curation, J.W.; Writing—original draft preparation, J.W.; Writing—review and editing, X.Z. All authors have read and agreed to the published version of the manuscript.

Funding

The work was sponsored by the Zhejiang Philosophical and Social Science Program (grant number 21NDJC004Z) and the Fundamental Research Funds for the Provincial Universities of Zhejiang (grant number SJWY2020005).

Institutional Review Board Statement

The work was conducted according to the guidelines of the Declaration of Helsinki and approved by the Human Ethics Board of Ningbo University (approval number: RAGH2019011601) prior to data collection.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in the study are available on request from the corresponding author.

Acknowledgments

The authors thank the staff at the Department of Research Academy of Grand Health in Ningbo University for their assistance in this study. The authors also express their gratitude to all the subjects who participated in this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Avila-Carvalho, L.; Klentrou, P.; Palomero, M.D.; Lebre, E. Anthropometric profiles and age at menarche in elite group rhythmic gymnasts according to their chronological age. Sci. Sport 2013, 28, 172–180. [Google Scholar] [CrossRef]
  2. Lentin, G.; Cumming, S.; Piscione, J.; Pezery, P.; Bouchouicha, M.; Gadea, J.; Raymond, J.J.; Duche, P.; Gavarry, O. A Comparison of an alternative weight-grading model against chronological age group model for the grouping of schoolboy male rugby players. Front. Physiol. 2021, 12, 670720. [Google Scholar] [CrossRef] [PubMed]
  3. Koolhaas, W.; van der Klink, J.J.L.; Groothoff, J.W.; Brouwer, S. Towards a sustainable healthy working life: Associations between chronological age, functional age and work outcomes. Eur. J. Public Health 2012, 22, 424–429. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Zhao, X.G.; Huang, H.M.; Gu, Y.D. Age score for assessing motor function in Chinese community-dwelling older women. J. Women Aging 2022, 34, 170–180. [Google Scholar] [CrossRef]
  5. Zhao, X.G.; Huang, H.M.; Gu, Y.D.; Zhou, Z.X. Age score for assessing motor function in Chinese older men. J. Mens Health 2021, 17, 37–43. [Google Scholar]
  6. Deeg, D.J.H.; Timmermans, E.J.; Kok, A.A.L. Capturing subjective age, subjective life expectancy, and their links with older adults’ health: The Dutch Longitudinal Aging Study Amsterdam. J. Aging Health 2021, 33, 633–644. [Google Scholar] [CrossRef]
  7. Morris, E.P.; Zaheed, A.B.; Sharifian, N.; Sol, K.; Kraal, A.Z.; Zahodne, L.B. Subjective age, depressive symptoms, and cognitive functioning across five domains. J. Clin. Exp. Neuropsyc. 2021, 43, 310–323. [Google Scholar] [CrossRef]
  8. Bodner, E.; Shrira, A.; Hoffman, Y.; Bergman, Y.S. Day-to-day variability in subjective age and ageist attitudes and their association with depressive symptoms. J. Gerontol. B-Psychol. 2021, 76, 836–844. [Google Scholar] [CrossRef]
  9. Stephan, Y.; Sutin, A.R.; Bayard, S.; Terracciano, A. Subjective age and sleep in middle-aged and older adults. Psychol. Health 2017, 32, 1140–1151. [Google Scholar] [CrossRef]
  10. Shrira, A.; Palgi, Y.; Hoffman, Y.; Avidor, S.; Bodner, E.; Ben-Ezra, M.; Bensimon, M. Subjective age as a moderator in the reciprocal effects between posttraumatic stress disorder symptoms and self-rated physical functioning. Front. Psychol. 2018, 9, 1746. [Google Scholar] [CrossRef] [Green Version]
  11. Li, Y.X.; Liu, M.H.; Miyawaki, C.E.; Sun, X.C.; Hou, T.X.; Tang, S.Y.; Szanton, S.L. Bidirectional relationship between subjective age and frailty: A prospective cohort study. BMC Geriatr. 2021, 21, 395. [Google Scholar] [CrossRef] [PubMed]
  12. Stephan, Y.; Sutin, A.R.; Terracciano, A. Subjective age and mortality in three longitudinal samples. Psychosom. Med. 2018, 80, 659–664. [Google Scholar] [CrossRef] [PubMed]
  13. Segel-Karpas, D.; Palgi, Y.; Shrira, A. The reciprocal relationship between depression and physical morbidity: The role of subjective age. Health Psychol. 2017, 36, 848–851. [Google Scholar] [CrossRef] [PubMed]
  14. Wettstein, M.; Spuling, S.M.; Cengia, A.; Nowossadeck, S. Feeling younger as a stress buffer: Subjective age moderates the effect of perceived stress on change in functional health. Psychol. Aging 2021, 36, 322–337. [Google Scholar] [CrossRef] [PubMed]
  15. Shao, J.J.; Zhang, L.; Xiao, L.X.; Li, X.Y.; Li, J.M. Subjective age and memory performance among older Chinese adults: A moderated mediation model. Int. J. Aging Hum. Dev. 2020, 91, 182–197. [Google Scholar] [CrossRef]
  16. Stephan, Y.; Sutin, A.R.; Wurm, S.; Terracciano, A. Subjective aging and incident cardiovascular disease. J. Gerontol. B-Psychol. 2021, 76, 910–919. [Google Scholar] [CrossRef]
  17. Rippon, I.; Steptoe, A. Is the relationship between subjective age, depressive symptoms and activities of daily living bidirectional? Soc. Sci. Med. 2018, 214, 41–48. [Google Scholar] [CrossRef]
  18. Daimiel, L.; Martinez-Gonzalez, M.A.; Corella, D.; Salas-Salvado, J.; Schroder, H.; Vioque, J.; Romaguera, D.; Martinez, J.A.; Warnberg, J.; Lopez-Miranda, J.; et al. Physical fitness and physical activity association with cognitive function and quality of life: Baseline cross-sectional analysis of the PREDIMED-Plus trial. Sci. Rep. 2020, 10, 3472. [Google Scholar] [CrossRef] [Green Version]
  19. Janssen, A.; Leahy, A.A.; Diallo, T.M.O.; Smith, J.J.; Kennedy, S.G.; Eather, N.; Mavilidi, M.F.; Wagemakers, A.; Babic, M.J.; Lubans, D.R. Cardiorespiratory fitness, muscular fitness and mental health in older adolescents: A multi-level cross-sectional analysis. Prev. Med. 2020, 132, 105985. [Google Scholar] [CrossRef]
  20. Hessert, M.J.; Gugliucci, M.R.; Pierce, H.R. Functional fitness: Maintaining or improving function for elders with chronic diseases. Fam. Med. 2005, 37, 472–476. [Google Scholar]
  21. Shen, B.; Bo, J.; Lu, X.Y. Profiles of health-related quality of life and their relationships with happiness, physical activity and physical fitness. Res. Q. Exerc. Sport 2020, 91, 260–269. [Google Scholar]
  22. Fogelholm, M. Physical activity, fitness and fatness: Relations to mortality, morbidity and disease risk factors. A systematic review. Obes. Rev. 2010, 11, 202–221. [Google Scholar] [CrossRef] [PubMed]
  23. Stephan, Y.; Sutin, A.R.; Terracciano, A. “Feeling younger, walking faster”: Subjective age and walking speed in older adults. Age 2015, 37, 86. [Google Scholar] [CrossRef] [PubMed]
  24. Stephan, Y.; Chalabaev, A.; Kotter-Grühn, D.; Jaconelli, A. “Feeling younger, being stronger”: An experimental study of subjective age and physical functioning among older adults. J. Gerontol. Ser. B Psychol. Sci. Soc. 2013, 68, 1–7. [Google Scholar] [CrossRef] [Green Version]
  25. Dietze-Hermosa, M.; Montalvo, S.; Gonzalez, M.P.; Dorgo, S. Physical fitness in older adults: Is there a relationship with the modified Functional Movement Screen™? J. Bodyw. Mov. Ther. 2021, 25, 28–34. [Google Scholar] [CrossRef]
  26. Lin, P.S.; Hsieh, C.C.; Cheng, H.S.; Tseng, T.J.; Su, S.C. Association between physical fitness and successful aging in Taiwanese older adults. PLoS ONE 2016, 11, e0150389. [Google Scholar] [CrossRef] [Green Version]
  27. Chan, D.C.; Lee, W.T.; Lo, D.H.; Leung, J.C.; Kwok, A.W.; Leung, P.C. Relationship between grip strength and bone mineral density in healthy Hong Kong adolescents. Osteoporos. Int. 2008, 19, 1485–1495. [Google Scholar] [CrossRef]
  28. Wu, Y.; Wang, W.; Liu, T.; Zhang, D. Association of grip strength with risk of all-cause mortality, cardiovascular diseases, and cancer in community-dwelling populations: A meta-analysis of prospective cohort studies. J. Am. Med. Dir. Assoc. 2017, 18, e17–e551. [Google Scholar] [CrossRef]
  29. Shinohara, T.; Saida, K.; Miyata, K.; Usuda, S. The balance function is associated with frailty in community-dwelling older women. Int. J. Rehabil. Res. 2021, 44, 51–56. [Google Scholar] [CrossRef]
  30. Yu, R.; Tong, C.; Ho, F.; Woo, J. Effects of a multicomponent frailty prevention program in prefrail community-dwelling older persons: A randomized controlled trial. J. Am. Med. Dir. Assoc. 2020, 21, 294.e1–294.e10. [Google Scholar] [CrossRef]
  31. Parentoni, A.N.; Mendonça, V.A.; Dos Santos, K.D.; Sá, L.F.; Ferreira, F.O.; Gomes Pereira, D.A.; Lustosa, L.P. Gait speed as a predictor of respiratory muscle function, strength, and frailty syndrome in community-dwelling elderly people. J. Frailty Aging 2015, 4, 64–68. [Google Scholar] [CrossRef] [PubMed]
  32. De la Cámara, M.Á.; Higueras-Fresnillo, S.; Sadarangani, K.P.; Esteban-Cornejo, I.; Martinez-Gomez, D.; Veiga, Ó.L. Clinical and ambulatory gait speed in older adults: Associations with several physical, mental, and cognitive health outcomes. Phys. Ther. 2020, 100, 718–727. [Google Scholar] [CrossRef] [PubMed]
  33. Notthoff, N.; Drewelies, J.; Kazanecka, P.; Steinhagen-Thiessen, E.; Norman, K.; Düzel, S.; Daumer, M.; Lindenberger, U.; Demuth, I.; Gerstorf, D. Feeling older, walking slower-but only if someone’s watching. Subjective age is associated with walking speed in the laboratory, but not in real life. Eur. J. Ageing 2018, 15, 425–433. [Google Scholar] [CrossRef] [PubMed]
  34. Zhu, Y.; Zhong, Q.; Ji, J.; Ma, J.; Wu, H.; Gao, Y.; Ali, N.; Wang, T. Effects of aerobic dance on cognition in older adults with mild cognitive impairment: A systematic review and meta-analysis. J. Alzheimers Dis. 2020, 74, 679–690. [Google Scholar] [CrossRef] [PubMed]
  35. Maillot, P.; Perrot, A.; Hartley, A. Effects of interactive physical-activity video-game training on physical and cognitive function in older adults. Psychol. Aging 2012, 27, 589–600. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Koh, Y.; Oh, Y.; Park, H.; Kim, W.; Park, E.C. The relationship between physical exercise and cognitive function in Korean middle aged and elderly adults without dementia. Int. J. Environ. Res. Public Health 2020, 17, 8821. [Google Scholar] [CrossRef] [PubMed]
  37. Engeseth, K.; Prestgaard, E.E.; Mariampillai, J.E.; Grundvold, I.; Liestol, K.; Kjeldsen, S.E.; Bodegard, J.; Erikssen, J.E.; Gjesdal, K.; Skretteberg, P.T. Physical fitness is a modifiable predictor of early cardiovascular death: A 35-year follow-up study of 2014 healthy middle-aged men. Eur. J. Prev. Cardiol. 2018, 25, 1655–1663. [Google Scholar] [CrossRef]
  38. Leirós-Rodríguez, R.; Romo-Pérez, V.; Pérez-Ribao, I.; García-Soidán, J.L. A comparison of three physical activity programs for health and fitness tested with older women: Benefits of aerobic activity, aqua fitness, and strength training. J. Women Aging 2019, 31, 419–431. [Google Scholar] [CrossRef]
  39. Mendonca, G.V.; Pezarat-Correia, P.; Vaz, J.R.; Silva, L.; Almeida, I.D.; Heffernan, K.S. Impact of exercise training on physiological measures of physical fitness in the elderly. Curr. Aging Sci. 2016, 9, 240–259. [Google Scholar] [CrossRef]
  40. Zhao, X.; Hu, F. Relationship between physical fitness, anthropometric measurement, and bone health in adult men. Clin. Nurs. Res. 2021, 1–9. [Google Scholar] [CrossRef]
  41. Zhao, X.; Hu, F. Effect of telling older adults their predictive physical fitness age on physical activity: A quasi-experimental study. Health Soc. Care Community 2022, 1–10. [Google Scholar] [CrossRef] [PubMed]
  42. Denche-Zamorano, Á.; Mendoza-Muñoz, M.; Carlos-Vivas, J.; Muñoz-Bermejo, L.; Rojo-Ramos, J.; Pastor-Cisneros, R.; Giakoni-Ramírez, F.; Godoy-Cumillaf, A.; Barrios-Fernandez, S. A cross-sectional study on self-perceived health and physical activity level in the Spanish population. Int. J. Environ. Res. Public Health 2022, 19, 5656. [Google Scholar] [CrossRef] [PubMed]
  43. Kotter-Grühn, D.; Kornadt, A.E.; Stephan, Y. Looking beyond chronological age: Current knowledge and future directions in the study of subjective age. Gerontology 2016, 62, 86–93. [Google Scholar] [CrossRef] [PubMed]
  44. Gilleard, C. Age, subjectivity and the concept of subjective age: A critique. J. Aging Stud. 2022, 60, 101001. [Google Scholar] [CrossRef] [PubMed]
  45. Wahl, H.W.; Drewelies, J.; Duezel, S.; Lachman, M.E.; Smith, J.; Eibich, P.; Steinhagen-Thiessen, E.; Demuth, I.; Lindenberger, U.; Wagner, G.G.; et al. Subjective age and attitudes toward own aging across two decades of historical time. Psychol. Aging 2022, 37, 413–429. [Google Scholar] [CrossRef]
Ijerph 19 06841 g001 550
Figure 1. The flow diagram of the participants inclusion.
Figure 1. The flow diagram of the participants inclusion.
Ijerph 19 06841 g001
Table
Table 1. The basic characteristics of the participants.
Table 1. The basic characteristics of the participants.
Older MenOlder WomenOverall
Numbers (n)94182276
Chronological age (years)71.21 ± 5.0470.71 ± 4.8270.88 ± 4.89
Subjective age (years)69.09 ± 7.7769.85 ± 7.1169.59 ± 7.33
Age discrepancy (scores)0.03 ± 0.060.01 ± 0.050.02 ± 0.05
Grip strength (kg)37.20 ± 5.6824.24 ± 4.3428.66 ± 7.82
Balancing on one leg with eyes open (s)43.09 ± 20.1243.08 ± 22.4743.08 ± 21.66
30 s chair stand test (repetitions/30 s)20.91 ± 4.9620.05 ± 5.4420.35 ± 5.29
4 m habitual walk (s)2.96 ± 0.463.05 ± 1.163.02 ± 0.98
6 min walk test (m)605.50 ± 62.45556.51 ± 84.65573.19 ± 81.09
Table
Table 2. The measured values of the physical fitness items across three different felt age groups in older men and women.
Table 2. The measured values of the physical fitness items across three different felt age groups in older men and women.
① Felt Younger Group ② Felt the Same Group ③ Felt Older Group p Values
① vs. ②		p Values
① vs. ③		p Values ② vs. ③
Older men
 Grip strength (kg)39.98 ± 4.4835.80 ± 5.6133.83 ± 5.270.039<0.0010.746
 Balancing on one leg with eyes open (s)50.73 ± 17.5037.82 ± 21.0834.27 ± 19.530.125<0.0011.000
 30 s chair stand test (repetitions/30 s)23.92 ± 4.2220.09 ± 4.3217.06 ± 2.980.010<0.0010.071
 4 m habitual walk (s)2.80 ± 0.403.27 ± 0.443.08 ± 0.470.0050.0130.675
 6 min walk test (m)641.85 ± 37.53598.27 ± 47.73557.91 ± 61.950.028<0.0010.059
Older women
 Grip strength (kg)26.79 ± 3.5923.57 ± 3.8922.42 ± 4.09<0.001<0.0010.442
 Balancing on one leg with eyes open (s)56.37 ± 10.4338.17 ± 24.6534.14 ± 23.72<0.001<0.0010.983
 30 s chair stand test (repetitions/30 s)23.79 ± 4.9317.94 ± 4.5117.85 ± 4.46<0.001<0.0011.000
 4 m habitual walk (s)2.75 ± 0.413.12 ± 0.653.26 ± 1.610.3740.0201.000
 6 min walk test (m)613.77 ± 44.67548.85 ± 97.92512.35 ± 76.58<0.001<0.0010.040
Note: Felt younger group includes participants with subjective age < chronological age; felt the same group includes participants with subjective age = chronological age; felt older group includes participants with subjective age > chronological age.
Table
Table 3. The multiple linear regression analysis between the age discrepancy score and measured physical fitness items in older men and women.
Table 3. The multiple linear regression analysis between the age discrepancy score and measured physical fitness items in older men and women.
BSEBetatp Values
Older men
 (Constant)−0.2570.045-−5.726<0.001
 Grip strength0.0030.0010.2473.974<0.001
 Balancing on one leg with eyes open0.0010.0000.1903.1420.002
 30-s chair stand test0.0050.0010.3875.666<0.001
 4-m habitual walk−0.0250.007−0.202−3.5180.001
 6-min walk test0.0010.0000.2684.044<0.001
R2 = 0.85, Adjusted R2 = 0.71, F = 46.35, p < 0.001
Older women
 (Constant)−0.2060.023--9.032<0.001
 Grip strength0.0030.0010.2955.270<0.001
 Balancing on one leg with eyes open0.0010.0000.1452.4740.014
 30-s chair stand test0.0030.0010.3566.053<0.001
 4-m habitual walk−0.0020.002−0.050−0.9410.348
 6-min walk test0.0010.0000.2113.3760.001
R2 = 0.54, Adjusted R2 = 0.53, F = 41.16, p < 0.001
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wang, J.; Yu, J.; Zhao, X. Is Subjective Age Associated with Physical Fitness in Community-Dwelling Older Adults? Int. J. Environ. Res. Public Health 2022, 19, 6841. https://doi.org/10.3390/ijerph19116841

AMA Style

Wang J, Yu J, Zhao X. Is Subjective Age Associated with Physical Fitness in Community-Dwelling Older Adults? International Journal of Environmental Research and Public Health. 2022; 19(11):6841. https://doi.org/10.3390/ijerph19116841

Chicago/Turabian Style

Wang, Jin, Jiabin Yu, and Xiaoguang Zhao. 2022. "Is Subjective Age Associated with Physical Fitness in Community-Dwelling Older Adults?" International Journal of Environmental Research and Public Health 19, no. 11: 6841. https://doi.org/10.3390/ijerph19116841

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