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Article

Long-Term Changes in Older Adults’ Independence Levels for Performing Activities of Daily Living in Care Settings: A Nine-Year Follow-Up Study

by
Takuhiro Okabe
1,*,
Makoto Suzuki
1,
Naoki Iso
1,
Koji Tanaka
2,
Akira Sagari
3,
Hironori Miyata
4,
Gwanghee Han
5,
Michio Maruta
6,
Takayuki Tabira
7 and
Masahiro Kawagoe
8
1
Department of Rehabilitation, Faculty of Health Sciences, Tokyo Kasei University, 2-15-1 Inariyama, Sayama 350-1398, Japan
2
Graduate School of Health Sciences, Gunma University, 3-39-22, Showamachi, Maebashi 371-8514, Japan
3
Department of Occupational Therapy, School of Health Sciences, Faculty of Medicine, Shinshu University, 3-1-1, Asahi, Matsumoto 390-8621, Japan
4
Department of Rehabilitation, Division of Occupational Therapy, Faculty of Health Science, Kumamoto Health Science University, 325, Izumimachi, Kita-ku, Kumamoto 861-5598, Japan
5
Department of Neuropsychiatry, Kumamoto University Hospital, 1-1-1 Honjo Chuo-ku, Kumamoto 860-8556, Japan
6
Department of Rehabilitation, Medical Corporation, Sanshukai, Okatsu Hospital, 3-95, Masagohonmachi, Kagoshima 890-0067, Japan
7
Department of Occupational Therapy, School of Health Sciences, Faculty of Medicine, Kagoshima University, 8-35-1, Sakuragaoka, Kagoshima 890-8544, Japan
8
Graduate Course of Health and Social Services, Saitama Prefectural University, 820, Sannomiya, Koshigaya 343-8540, Japan
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(18), 9641; https://doi.org/10.3390/ijerph18189641
Submission received: 31 August 2021 / Accepted: 10 September 2021 / Published: 13 September 2021
(This article belongs to the Section Aging)
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Versions Notes

Abstract

:
This study aimed to clarify the variability in the independence profiles of specific activities of daily living (ADL) among older men and women. The research subjects were 5872 older adults (1143 men and 4729 women) certified as requiring nursing care or support (based on data obtained from the nursing care insurance certification survey database) who could be surveyed in both 2009 and 2018. Using item response theory, this study compared longitudinal data of difficulties faced by older adults during ADL. The results indicated that among the long-term care insurance-certified persons, in 2009, men had higher ADL difficulty than women in all ADL items, and in 2018, there was no significant difference in items other than dressing and excretion. Furthermore, the difference in the rate of ADL difficulty level over 9 years was significantly higher in women than in men. It was shown that the progression of ADL disability due to aging is faster in men on a yearly basis, but it increases in women with aging. Therefore, it was suggested that the rate of ADL difficulty varies depending on age and sex.

1. Introduction

In Japan, over the last few decades, the number of people eligible for long-term care has nearly tripled, from 2.18 million in 2000 to 6.08 million in 2015. [1]. The percentage of older adults who experience difficulties in ADL is as high as 37% in Japan [2]. Owing to the deterioration of mental and physical functions related to aging, older people need support and assistance from others to perform various activities of daily living (ADL) [3]. It is clear that the incidence of disabilities affecting ADL increases with age [3,4]. It has been reported that ADL disorders are caused by age-related deteriorations of physical functioning, pain, and other complications [5]. Research has also found that the degree of independence when performing ADL affects individuals’ quality of life, the prevention of diseases and disorders, and medical costs [4,6]. Accordingly, to ensure the maintenance of individuals’ independence, it is important to understand their degree of independence and provide them with appropriate long-term care prevention strategy. However, the changes that older adults undergo regarding their degree of independence in specific ADL have yet to be analyzed from the perspectives of sex and age.
Japanese people have a relatively long life expectancy, but the difference between average life expectancy and healthy life expectancy (i.e., the number of years that one is unhealthy or has a disability) is 9.13 years for men and 12.68 years for women [7]. Women’s longevity has a significant impact on their health disadvantages [8]. In addition, women’s longer life expectancy also influences men–women differences in health status [9]. It has been shown that the larger women’s longevity excess, the larger their proportion of life in poor health [9]. Such long-lasting disability exerts a heavy burden on health and welfare resources [10]. Nonetheless, interventions to extend healthy life expectancy should not only reduce the financial burden on society but also improve the quality of life for care recipients and their families. Previous studies reported that women account for a higher proportion of people with ADL disabilities than men [11,12,13], but the degree of ADL disability and the rate of disability between men and women who already have ADL disabilities remain unclear. In other words, the rate at which ADL becomes difficult may depend on sex.
In general, physical functionality, especially among dependent older adults, is determined by their ability to undertake ADL, which decreases with age [14]. ADL consist of various undertakings, such as moving, dressing oneself, eating, and bathing. The pattern of changes in older individuals’ ability to undertake these activities is variable [15]. In addition, the contribution of each activity to older adults’ degree of independence differs. Some previous studies have delved into the topic of difficulty performing ADL among older adults. Longitudinal studies have reported the order of occurrence of ADL disorders [16,17,18], while cross-sectional studies have researched their prevalence [19,20,21,22,23]. However, there has been no longitudinal investigation of the long-term changes and sex-based differences in older individuals’ independence levels when undertaking various specific ADL.
This study aimed to (1) assess long-term changes in independence levels, (2) assess the activity-specific independence levels of older adults requiring physical assistance and supervision to perform ADL, and (3) investigate the differences in these matters between men and women. Generating knowledge regarding this progression pattern may aid in the identification of older adult groups at high risk of disability—an important process to ensure the well-informed creation of targeted interventions aimed at maintaining their independence. Clarifying which ADL abilities are maintained and which diminish with age also contributes significantly to long-term care prevention priorities and support priorities. If it is possible to clarify the mode of reduction of ADL disorder among older men and women, it may be possible to contribute to the extension of healthy life expectancy and new strategies for long-term care prevention.

2. Materials and Methods

2.1. Population, Design

For this retrospective study, we used the 2009–2018 long-term care insurance (LTCI) certification data from City A, Japan. We identified 5872 subjects requiring long-term care who could be tracked for nine years (mean age in 2009: 79.2 ± 6.4 years; 1143 men and 4729 women). Subjects who could not be tracked in 2018 (n = 576) were excluded from the analysis. This resulted in a follow-up rate of 91.1% (5872/6448). The LTCI system was implemented by the Japanese government in 2000 to address the accelerating rate of population aging and older adults’ increasing need for care [24]. The LTCI system focuses on long-term care prevention; its main objectives are to enable older adults to live independently in their communities for as long as possible, improve their overall health status, and prevent any physical or mental deteriorations to avoid the need for long-term care [25,26]. The LTCI certification system involves a two-stage process that categorizes individuals into seven levels: support levels 1 and 2 and care needs levels 1 to 5. In the first stage, the required duration of care is estimated by a computer program based on a certification survey. In the second stage, a committee of physicians and other healthcare professionals determines the ranking of individuals based on their care needs. Then, individuals who qualify for long-term care are able to receive the appropriate benefits, while the services provided are divided into two categories: long-term care benefits (care needs levels 1 to 5) and prevention benefits (support levels 1 and 2) [27].

2.2. Measurements

Interviews on ADL functions collected data in nine categories: Bathing, Transfer (defined as moving from one flat surface to another; e.g., from a bed to a wheelchair), Mobility, Eating, Urination, Defecation, Grooming (including teeth brushing/mouth rinsing, washing one’s face, and combing/styling one’s hair), Upper-body dressing, and Lower-body dressing. Depending on the degree of assistance required, all items were scored from 1 to 4—except for Grooming, as its items were scored from 1 to 3. Higher scores indicated a lower daily functioning ability in that item and an increased need for assistance [27]. Based on these scores, participants were classified according to whether they were independent (obtaining a score of 1) or not (obtaining a score of 2–4). They were also classified according to their living situation: namely, whether they lived at home (alone or with others) or in an institution. All these assessments were conducted by qualified nursing care investigators (such as doctors, nurses, occupational therapists, social workers, etc.) from the municipalities. Eligibility for LTCI assessment applies to those who are 65 years of age or older and have applied to the municipality. All nine ADL items were evaluated in 2009 and 2018.

2.3. Statistical Analysis

A chi-square test was performed with the ADL non-independence rate to determine if there were significant differences for this variable between 2009 and 2018 as well as between men and women. Furthermore, based on item reaction theory (IRT), the data of each item were approximated onto a logistic model, where long-term changes in participants’ independence level for each specific ADL were estimated. IRT can be used to rank items unequivocally along a hierarchy based on their difficulty, as follows:
P x = 1 1 + e 1.7 x − β  
where x is a log of the odds of endorsing each activity (i.e., each item), reflecting participants’ disability level. β, which is the coefficient of IRT, is a parameter of the difficulty level and is based on 0. The difficulty level becomes lower in the negative direction and higher in the positive direction. Additionally, β is a curve that shifts from the left to the right as the value increases, reflecting the severity of the disability for each activity. The difference between β in 2009 and 2018 was calculated, and the difference between men and women was examined by a nonparametric test. All statistical analyses were performed using R 3.5.2 software (R Foundation for Statistical Computing, Vienna, Austria).

2.4. Ethical Considerations

Saitama Prefectural University and municipal government signed the memorandum of data handling according to the local government regulation for privacy policy. Additionally, the Ethics Committee of Saitama Prefectural University approved the procedure of this study with anonymized database (No. 20019) in 17 June 2020.

3. Results

Table 1 shows participants’ characteristics. In the 2009 sample, the group of participants requiring support level 2 was the largest, followed by those requiring long-term care level 1, and the smallest being those requiring long-term care level 5. Conversely, in the 2018 sample, the group of participants requiring long-term care level 4 was the largest, which was followed by participants requiring long-term care level 3, and the smallest group comprised individuals requiring support level 2. In 2009, the group of individuals requiring support level 1 regarding nursing care tended to be large; however, in 2018, the proportion of individuals requiring nursing care in levels 2 to 5 increased.
Table 2 shows each sample’s (2009 or 2018) non-independence rate for specific ADL. In the 2009 sample, Grooming (58.6%) had the highest non-independence rate, which was followed by Bathing (49.7%), Upper-body dressing (29.4%), Lower-body dressing (28.6%), Mobility (25.4%), Urination (25.1%), Defecation (23.3%), Transfer (18.6%), and Eating (12.0%). The aforementioned top and bottom three items were the same for all subjects, regardless of sex. In addition, the ranking of specific ADL by non-independence rates was similar between the overall sample and women; however, the ranking of the three middle items was different for men.
In the 2018 sample, Grooming (89.8%) still had the highest non-independence rate, which was followed by Bathing (85.1%), Upper-body dressing (68.4%), Urination (66.2%), Defecation (64.0%), Lower-body dressing (62.9%), Mobility (62.2%), Transfer (49.9%), and Eating (9.0%). Specifically, owing to aging, specific ADL non-independence rates were significantly higher in 2018 than in 2009 for all subjects, regardless of sex. The non-independence rate of all specific ADL among men was higher than that among women in 2009 (p < 0.0001 for all items). Contrarily, in 2018, the non-independent rate of Upper-body dressing, Lower-body dressing, Urination, and Defecation in men was significantly higher, and there was no difference between men and women in other specific ADL items.
In 2009, men had a significantly higher rate of non-independence in ADL than women in all items. Contrarily, in 2018, men had a higher rate of non-independence than women only in Upper-body dressing, Lower-body dressing, Urination, and Defecation.
The IRT results are shown in Table 3. In both 2009 and 2018, all items were compatible with the logistic model (p < 0.0001 for all items). In terms of IRT, ADL difficulty was significantly higher in 2018 than in 2009 for all subjects, regardless of sex. In 2009, for the overall sample and for women, the difficulty level in descending order (highest to lowest) was as follows: Grooming, Bathing, Upper-body dressing, Lower-body dressing, Mobility, Urination, Defecation, Transfer, and Eating. For men, the same ranking was as follows: Grooming, Bathing, Upper-body dressing, Lower-body dressing, Urination, Mobility, Defecation, Transfer, and Eating. In 2018, nonetheless, this ranking for the overall sample was as follows: Grooming, Bathing, Lower-body dressing, Upper-body dressing, Urination, Defecation, Mobility, Transfer, and Eating. In other words, the rankings across the three groups were the same in the second assessment period. Furthermore, the difference in β between 2009 and 2018, that is, the rate of increase in difficulty level, was significantly higher in women than in men. In 2018, the curve of the model was displaced to the right in all items when compared to 2009, with the probability of independence having decreased (Figure 1, Figure 2 and Figure 3).
The X-axis denotes each person’s disability level. The Y-axis denotes the probability of independence for each activity. The dotted line represents the 2008 sample, and the solid line represents the 2018 sample. In 2018, the curve of the model shifted to the right, meaning that the difficulty increased for all items when compared to 2009.
Similarly for men, in 2018, the curve of the model shifted to the right, meaning that the difficulty increased for all items when compared to 2009. Both years were generally shifted to the right, suggesting that ADL difficulty is high in men. The changes in 2009 and 2018 were particularly remarkable in grooming, bathing, urination, and defecation, but the changes in other items were relatively small.
Similarly for women, in 2018, the curve of the model shifted to the right, meaning that the difficulty increased for all items when compared to 2009. Similar to men, the changes in 2009 and 2018 were particularly remarkable in grooming, bathing, urination, and defecation, but it was suggested that the changes in each item were larger than in men.

4. Discussion

This study corroborated that the proportion of people who had difficulty remaining independent in their ADL increased with age in both men and women. Past studies have shown that the pattern of ADL disabilities in geriatric populations follows a distinct progression [16,17,18,21,22,28]. Among those certified for long-term care insurance, although the average age of men was lower than that of women, the proportion of men with difficulties in their ADL independence was higher than that of women. In short, among people with ADL disorders, ADL were more difficult for men than for women. This result contradicts previous studies that women have a higher prevalence in this regard [11,12,13]. The reason for the lower independence level in men is that the previous study recruited from the general population of older people, whereas our study focused on older people who have difficulty in ADL due to mental or physical disorder (i.e., recruiting from the persons eligible for the LTCI system). In this study, in 2009, men had a higher rate of non-independence than women in all ADL items among those who were certified as requiring nursing care. In 2018, only dressing and excretion difficulties were higher in men than in women. Furthermore, the difference in β over 9 years was significantly larger in women than in men. In other words, it was shown that the progression of ADL disorder due to aging is faster in men on a yearly basis but increases in women with aging. It is suggested that men with ADL disorder have many other ADL disabilities from the beginning, and that once women have ADL disability, their ADL ability declines sharply with aging. This suggests that comprehensive ADL support may be needed for men, and local and staged interventions may be needed for women when intervening for older adults who need care. Sauvaget et al. reported that the development and progression of disability were different between sexes: men experienced disability at a younger age and faster rate than women [10]. The slow progress of disability, with a longer duration in a disabled state among women, induces a heavy burden on health and welfare resources [10]. In this study, the younger average age of men showed the difference in lifespan between men and women, and it confirmed the paradox, “men die early and women suffer for a long time”, as stated in a previous study [29]. This is likely because, in general, life expectancy is longer in women than in men, with the likelihood of women being separated from their spouses being higher than that of men. Kishimoto et al. reported that support for family members becomes necessary in Japan when a man experiences difficulties in ADL because Japanese husbands are highly dependent on their wives in performing these activities [20]. Conversely, women are expected to be more independent than men in their ADL because Japanese wives cannot depend on family members, especially their husbands. This is because husbands tend to typically not help their wives in their ADL [20,30]. Kuzuya et al. reported that women had a higher rate of living alone and a lower rate of receiving care by a spouse [31]. It must be recognized that after age 75, women are more likely to be widowed, while older men are more likely to have a wife who can assist them in the event of disability [32]. In this study, nine years later, women retained their ability to dress themselves and excrete. A previous study reported that women in nursing homes remained independent longer for toilet use [33]. For this reason, women may be particularly reluctant to being assisted with changing clothes and excreting. Therefore, an individual’s transition of ADL independency differs depending on their daily lifestyle, environment, and individual role in the home. There are a few explanations why women live longer than men but have poorer health. Several studies exhibit that this is due to biological, social, and behavioral factors [34,35,36]. Researchers have suggested that two factors in particular contribute to this phenomenon. First, women are more likely than men to adopt preventative health behaviors, such as routine annual visits to a physician for a check-up. Studies argue that poorer health among women is due to biological as well as behavioral factors. Some studies discuss that while women suffer more than men, women’s ailments tend to be less lethal biologically [37,38]. Some other studies refer to the over-reporting of worse health among women [39,40].
This study’s results suggest that the order of independence probabilities according to each activity item is generally the same, although the independence levels of various activities in ADL do decrease over the long term. Shinkai et al. reported that the number of people with disabilities increases with age, which corroborates the current study’s findings [4]. This study demonstrated that difficulties in ADL among older adults significantly increase after nine years. We also discovered that the order of difficulty in ADL was highest for Grooming and Bathing and was lowest for Eating and Transfer, which remained unchanged after nine years. Previous cross-sectional [19,20,21,23] and longitudinal studies [17,18] have reported that bathing and eating tend to be challenging for older adults with ADL difficulties. This was consistent with the results of the present study. Bathing is a complex task involving multiple subtasks, such as undressing and drying one’s body [41]. The incidences of bathing-related disabilities (defined as needing personal assistance with this activity) per 1000 person-months is as high as 23.0 for those aged 70 to 79 years and 43.6 for those aged 80 years or older [42]. Bathing disability has been independently associated with an increased likelihood of long-term nursing home admission [43] and is a primary indicator of the need for home care services [44]. Japanese people generally prefer to take baths rather than taking showers or sauna baths not only for cleanliness but also to feel warm and refreshed as well as to aid in sleep [45]. Morris et al. reported that individuals receiving home care in Hong Kong had the highest rate of grooming disabilities [22]. This is consistent with this study’s findings. However, there are few reports on grooming, with the order of difficulties often being different [19]. Typically, grooming, bathing, and dressing are considered low priority as activities needed to maintain life, unlike eating, moving, and using the toilet. Therefore, older adults with some disabilities may be less interested in grooming and bathing and therefore less likely to undertake these activities. In addition, when providing support to older adults with disabilities within a limited timeframe, the main interventions provided are for Eating, Transfer, and Mobility, but Grooming, Bathing, and Dressing tend to be overlooked by carers and healthcare practitioners. Even if an intervention is provided, it often does not make the most of the care recipient’s remaining ability, with the amount of assistance given being high. However, tasks involving dressing and keeping clean support one’s sense of dignity and are important regardless of a person’s age or disability [46]. Dubuc et al. reported that grooming and bathing do not specifically meet the needs of community-dwelling older adults with disabilities [32]. Thus, for these two activities, which do tend to be more difficult, we need to consider ways in which to provide further support in terms of care prevention. Our findings provide useful information for developing a care prevention plan to maintain the independence of older adults. Both longitudinal and cross-sectional studies agree that bathing deficits precede feeding ones; however, there is less agreement on the sequence of the development of other disabilities, such as those surrounding grooming, dressing, urination, defecation, mobility, and transfer, either due to differences in the analytic techniques used or due to a wide heterogeneity in the sequence in which functions are lost over time [16,17,18,19,23]. Several studies have also highlighted the fact that disability progression differs by sex [16], time period [28], institutional settings (e.g., residential setting or nursing homes) [28], types of ADL items [21], and countries [47]. Thus, when deciding on whether to assist someone with ADL difficulties, we must consider the subject’s life history and culture, their sex, and living environment. In addition to the important items needed for maintaining life, such as eating, moving, and walking, care should be taken to maintain each individual’s sense of dignity through cleanliness and grooming.
This study has some limitations. First, the findings were limited to residents within the LTCI system and therefore, they may reflect the idiosyncratic nature of those receiving treatment, nursing care, and functional assessments within one large healthcare system. In order to generalize this study’s findings, the survey should be expanded to general older adults and middle-aged people. Second, in this study, the factors of difficulty for each ADL item were not clarified. Further research is needed to clarify these factors in terms of the order of difficulty of each item.

5. Conclusions

This study reveals that among the long-term care insurance certified persons, in 2009, men had higher ADL difficulty than women in all ADL items, and in 2018, there was no significant difference in items other than changing clothes and excretion. Furthermore, the difference in β over 9 years was significantly larger in women than in men. In other words, it was shown that the progression of ADL disability due to aging is faster in men on a yearly basis, but it increases in women with aging. It was suggested that men with ADL disorder had many other ADL disabilities from the beginning, and that once women had an ADL disorder, their ADL ability declined sharply with aging. This suggestion may indicate that we need comprehensive ADL support for men and local and staged interventions for women when providing interventions for older adults in need of care. Furthermore, the difficulty levels were relatively low for Eating and Transfer and were high for Grooming and Bathing. Therefore, our study results will assist healthcare practitioners in understanding and anticipating specific target areas for interventions aimed at older adults. In other words, the findings from this study provide useful information for the development of effective care prevention plans that aim to maintain the independence of older adults.

Author Contributions

Conceptualization, T.O. and M.S.; Methodology, T.O., M.S., N.I., T.T., and M.K.; Formal Analysis, T.O. and N.I., A.S., and T.T.; Resources, M.K.; Data Curation, M.K..; Writing—Original Draft, T.O. and M.S.; Writing—Review and Editing, T.O., M.S., N.I., K.T., A.S., H.M., G.H., M.M., T.T. and M.K.; Visualization, T.O., N.I., K.T., A.S., H.M., G.H., M.M., T.T., and M.K.; Supervision, M.K.; Project Administration, T.T. and M.K.; Funding Acquisition, M.S. All authors approved the final version of the manuscript before submission and will approve the final version to be published. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Grant-in-Aid for JSPS KAKENHI, grant number 18H03133 to Makoto Suzuki.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of Saitama Prefectural University approved the procedure of this study with anonymized database (No. 20019) in 17 June 2020.

Informed Consent Statement

Not applicable.

Acknowledgments

The authors would like to acknowledge the municipal staff for their assistance with data collection in this study. This work was supported in part by the Japan Society for the Promotion of Science a Grant-in-Aid for Scientific Research (JSPS KAKENHI 18H03133) to Makoto Suzuki.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Cabinet Office, Government of Japan. Labour and Welfare, 2019. Long-Term Care, Health and Welfare Services for the Elderly. Available online: https://www.mhlw.go.jp/english/policy/care-welfare/care-welfare-elderly/index.html (accessed on 12 September 2021). (In Japanese)
  2. Cabinet Office, Government of Japan. Survey on the Senior Citizens’ Attitude toward Daily Living. 2017. Available online: https://www8.cao.go.jp/kourei/ishiki/h29/zentai/pdf/sec_2_1.pdf (accessed on 12 September 2021). (In Japanese)
  3. Di Bari, M.; Virgillo, A.; Matteuzzi, D.; Inzitari, M.; Mazzaglia, G.; Pozzi, C.; Geppetti, P.; Masotti, G.; Marchionni, N.; Pini, R. Predictive validity of measures of comorbidity in older community dwellers: The Insufficienza Cardiaca negli Anziani Residenti a Dicomano Study. J. Am. Geriatr. Soc. 2006, 54, 210–216. [Google Scholar] [CrossRef]
  4. Shinkai, S.; Kumagai, S.; Fujiwara, Y.; Amano, H.; Yoshida, Y.; Watanabe, S.; Ishizaki, T.; Suzuki, T.; Shibata, H. Predictors for the onset of functional decline among initially non-disabled older people living in a community during a 6-year follow-up. Geriatr. Gerontol. Int. 2003, 3, S31–S39. [Google Scholar] [CrossRef]
  5. Okabe, T.; Abe, Y.; Tomita, Y.; Mizukami, S.; Kanagae, M.; Arima, K.; Nishimura, T.; Tsujimoto, R.; Tanaka, N.; Goto, H.; et al. Age-specific risk factors for incident disability in activities of daily living among middle-aged and elderly community-dwelling Japanese women during an 8-9-year follow up: The Hizen-Oshima study. Geriatr. Gerontol. Int. 2017, 17, 1096–1101. [Google Scholar] [CrossRef] [PubMed]
  6. Andrews, J.S.; Cenzer, I.S.; Yelin, E.; Covinsky, K.E. Pain as a risk factor for disability or death. J. Am. Geriatr. Soc. 2013, 61, 583–589. [Google Scholar] [CrossRef] [PubMed]
  7. Ministry of Health, Labour and Welfare. Healthy Japan 21. Jpn. Med Assoc. J. 2003, 46, 47–49. Available online: https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/kenkou_iryou/kenkou/kenkounippon21.html (accessed on 12 September 2021). (In Japanese).
  8. Vaupel, J.W. Biodemography of human ageing. Nature 2010, 464, 536–542. [Google Scholar] [CrossRef] [Green Version]
  9. Luy, M.; Minagawa, Y. Gender gaps-Life expectancy and proportion of life in poor health. Health Rep. 2014, 25, 12–19. [Google Scholar]
  10. Sauvaget, C.; Tsuji, I.; Aonuma, T.; Hisamichi, S. Health-life expectancy according to various functional levels. J. Am. Geriatr. Soc. 1999, 47, 1326–1331. [Google Scholar] [CrossRef]
  11. Shi, Z.; Lin, J.; Xiao, J.; Fang, Y. Sex differences in the association between latent class of lifestyle and disability among older adults in China. BMC Geriatr. 2021, 21, 188. [Google Scholar] [CrossRef]
  12. Palacios-Ceña, D.; Jiménez-García, R.; Hernández-Barrera, V.; Alonso-Blanco, C.; Carrasco-Garrido, P.; Fernández-de-Las-Peñas, C. Has the prevalence of disability increased over the past decade (2000–2007) in elderly people? A Spanish population-based survey. J. Am. Med. Dir. Assoc. 2012, 13, 136–142. [Google Scholar] [CrossRef]
  13. Auais, M.; Ahmed, T.; Alvarado, B.; Phillips, S.P.; Rosendaal, N.; Curcio, C.L.; Fernandes, J.; Guralnik, J.; Zunzunegui, M.V. Gender differences in four-year incidence of self-reported and performance-based functional disability: The International Mobility in Aging Study. Arch. Gerontol. Geriatr. 2019, 82, 266–272. [Google Scholar] [CrossRef]
  14. Sato, S.; Demura, S.; Kobayashi, H.; Nagasawa, Y. The relationship and its change with aging between ADL and daily life satisfaction characteristics in independent Japanese elderly living at home. J. Physiol. Anthropol. Appl. Hum. Sci. 2002, 21, 195–204. [Google Scholar] [CrossRef] [Green Version]
  15. Sato, S.; Demura, S.; Tanaka, K.; Kasuga, K.; Kobayashi, H. ADL ability characteristics of partially dependent older people: Gender and age differences in ADL ability. Environ. Health Prev. Med. 2001, 6, 92–96. [Google Scholar] [CrossRef]
  16. Dunlop, D.D.; Hughes, S.L.; Manheim, L.M. Disability in activities of daily living: Patterns of change and a hierarchy of disability. Am. J. Public Health 1997, 87, 378–383. [Google Scholar] [CrossRef] [Green Version]
  17. Jagger, C.; Arthur, A.J.; Spiers, N.A.; Clarke, M. Patterns of onset of disability in activities of daily living with age. J. Am. Geriatr. Soc. 2001, 49, 404–409. [Google Scholar] [CrossRef] [PubMed]
  18. Fong, J.H.; Feng, J. Patterns of Functional Disability in the Oldest Adults in China. J. Am. Geriatr. Soc. 2016, 64, 1890–1894. [Google Scholar] [CrossRef] [PubMed]
  19. Kingston, A.; Collerton, J.; Davies, K.; Bond, J.; Robinson, L.; Jagger, C. Losing the ability in activities of daily living in the oldest old: A hierarchic disability scale from the Newcastle 85+ study. PLoS ONE 2012, 7, e31665. [Google Scholar] [CrossRef]
  20. Kishimoto, M.; Ojima, T.; Nakamura, Y.; Yanagawa, H.; Fujita, Y.; Kasagi, F.; Kodama, K.; Ueda, K.; Suzuki, S.; Kagamimori, S. Relationship between the level of activities of daily living and chronic medical conditions among the elderly. J. Epidemiol. 1998, 8, 272–277. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Spector, W.D.; Fleishman, J.A. Combining activities of daily living with instrumental activities of daily living to measure functional disability. J. Gerontol. B Psychol. Sci. Soc. Sci. 1998, 53, S46–S57. [Google Scholar] [CrossRef] [Green Version]
  22. Morris, J.N.; Berg, K.; Fries, B.E.; Steel, K.; Howard, E.P. Scaling functional status within the interRAI suite of assessment instruments. BMC Geriatr. 2013, 13, 128. [Google Scholar] [CrossRef] [Green Version]
  23. Ferrucci, L.; Guralnik, J.M.; Cecchi, F.; Marchionni, N.; Salani, B.; Kasper, J.; Celli, R.; Giardini, S.; Heikkinen, E.; Jylhä, M.; et al. Constant hierarchic patterns of physical functioning across seven populations in five countries. Gerontologist 1998, 38, 286–294. [Google Scholar] [CrossRef] [Green Version]
  24. Tamiya, N.; Noguchi, H.; Nishi, A.; Reich, M.R.; Ikegami, N.; Hashimoto, H.; Shibuya, K.; Kawachi, I.; Campbell, J.C. Population ageing and wellbeing: Lessons from Japan's long-term care insurance policy. Lancet 2011, 378, 1183–1192. [Google Scholar] [CrossRef]
  25. Fukuda, Y.; Nakao, H.; Yahata, Y.; Imai, H. In-depth descriptive analysis of trends in prevalence of long-term care in Japan. Geriatr. Gerontol. Int. 2008, 8, 166–171. [Google Scholar] [CrossRef]
  26. Ikegami, N. Rationale, Design and Sustainability of Long-Term Care Insurance in Japan—In Retrospect. Soc. Policy Soc. 2007, 6, 423–434. [Google Scholar] [CrossRef]
  27. Maruta, M.; Tabira, T.; Makizako, H.; Sagari, A.; Miyata, H.; Yoshimitsu, K.; Han, G.; Yoshiura, K.; Kawagoe, M. Impact of Outpatient Rehabilitation Service in Preventing the Deterioration of the Care-Needs Level Among Japanese Older Adults Availing Long-Term Care Insurance: A Propensity Score Matched Retrospective Study. Int. J. Environ. Res. Public Health 2019, 16, 1292. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Finlayson, M.; Mallinson, T.; Barbosa, V.M. Activities of daily living (ADL) and instrumental activities of daily living (IADL) items were stable over time in a longitudinal study on aging. J. Clin. Epidemiol. 2005, 58, 338–349. [Google Scholar] [CrossRef]
  29. Oksuzyan, A.; Juel, K.; Vaupel, J.W.; Christensen, K. Men: Good health and high mortality. Sex differences in health and aging. Aging Clin. Exp. Res. 2008, 20, 91–102. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Noël-Miller, C. Longitudinal changes in disabled husbands' and wives' receipt of care. Gerontologist 2010, 50, 681–693. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Kuzuya, M.; Hasegawa, J.; Enoki, H.; Izawa, S.; Hirakawa, Y.; Hirose, T.; Iguchi, A. Gender difference characteristics in the sociodemographic background of care recipients. Nihon Ronen Igakkai Zasshi 2010, 47, 461–467. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Dubuc, N.; Dubois, M.-F.; Raîche, M.; Gueye, N.D.R.; Hébert, R. Meeting the home-care needs of disabled older persons living in the community: Does integrated services delivery make a difference? BMC Geriatr. 2011, 11, 67. [Google Scholar] [CrossRef] [Green Version]
  33. Bürge, E.; Berchtold, A.; von Gunten, A. Gender-related ADL performance of old people recently admitted to a Swiss nursing home. A cross-sectional study. Swiss. Med. Wkly. 2011, 141, w13183. [Google Scholar] [CrossRef]
  34. Nathanson, C.A. Sex differences in mortality. Annu. Rev. Sociol. 1984, 10, 191–213. [Google Scholar] [CrossRef]
  35. Rogers, R.G.; Everett, B.G.; Onge, J.M.S.; Krueger, P.M. Social, behavioral, and biological factors, and sex differences in mortality. Demography 2010, 47, 555–578. [Google Scholar] [CrossRef] [PubMed]
  36. Friedman, H.S.; Tucker, J.S.; Schwartz, J.E.; Tomlinson-Keasey, C.; Martin, L.R.; Wingard, D.L.; Criqui, M.H. Psychosocial and behavioral predictors of longevity. The aging and death of the “termites”. Am. Psychol. 1995, 50, 69–78. [Google Scholar] [CrossRef]
  37. Case, A.; Paxson, C. Sex differences in morbidity and mortality. Demography 2005, 42, 189–214. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Crimmins, E.M.; Kim, J.K.; Solé-Auró, A. Gender differences in health: Results from SHARE, ELSA and HRS. Eur. J. Public Health 2011, 21, 81–91. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Verbrugge, L.M.; Wingard, D.L. Sex differentials in health and mortality. Women Health 1987, 12, 103–145. [Google Scholar] [CrossRef]
  40. Kroenke, K.; Spitzer, R.L. Gender differences in the reporting of physical and somatoform symptoms. Psychosom. Med. 1998, 60, 150–155. [Google Scholar] [CrossRef]
  41. Naik, A.D.; Concato, J.; Gill, T.M. Bathing disability in community-living older persons: Common, consequential, and complex. J. Am. Geriatr. Soc. 2004, 52, 1805–1810. [Google Scholar] [CrossRef]
  42. Gill, T.M.; Guo, Z.; Allore, H.G. The epidemiology of bathing disability in older persons. J. Am. Geriatr. Soc. 2006, 54, 1524–1530. [Google Scholar] [CrossRef] [PubMed]
  43. Gill, T.M.; Allore, H.G.; Han, L. Bathing disability and the risk of long-term admission to a nursing home. J. Gerontol. A Biol. Sci. Med. Sci. 2006, 61, 821–825. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. LaPlante, M.P.; Harrington, C.; Kang, T. Estimating paid and unpaid hours of personal assistance services in activities of daily living provided to adults living at home. Health Serv. Res. 2002, 37, 397–415. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Yagi, A.; Hayasaka, S.; Ojima, T.; Sasaki, Y.; Tsuji, T.; Miyaguni, Y.; Nagamine, Y.; Namiki, T.; Kondo, K. Bathing Frequency and Onset of Functional Disability Among Japanese Older Adults: A Prospective 3-Year Cohort Study From the JAGES. J. Epidemiol. 2019, 29, 451–456. [Google Scholar] [CrossRef] [Green Version]
  46. Shida, J.; Sugawara, K.; Goto, J.; Sekito, Y. Relationship between self-esteem and living conditions among stroke survivors at home. Jpn. J. Nurs. Sci. 2014, 11, 229–240. [Google Scholar] [CrossRef] [PubMed]
  47. Fong, J.H.; Feng, J. Comparing the loss of functional independence of older adults in the U.S. and China. Arch. Gerontol. Geriatr. 2018, 74, 123–127. [Google Scholar] [CrossRef] [PubMed]
Ijerph 18 09641 g001 550
Figure 1. Difficulties in their ADL independence for all participants from 2009 to 2018.
Figure 1. Difficulties in their ADL independence for all participants from 2009 to 2018.
Ijerph 18 09641 g001
Ijerph 18 09641 g002 550
Figure 2. Difficulties in their ADL independence for men from 2009 to 2018.
Figure 2. Difficulties in their ADL independence for men from 2009 to 2018.
Ijerph 18 09641 g002
Ijerph 18 09641 g003 550
Figure 3. Difficulties in their ADL independence for women from 2009 to 2018.
Figure 3. Difficulties in their ADL independence for women from 2009 to 2018.
Ijerph 18 09641 g003
Table
Table 1. Participants’ characteristics (N = 5872).
Table 1. Participants’ characteristics (N = 5872).
20092018
Mean ± SD, n (%)
SexMen 1143 (19.5)
Women 4729 (80.5)
Age (years)79.2 ± 6.488.2 ± 6.4
Men 76.2 ± 6.3Men 85.2 ± 6.3
Women 80.0 ± 6.2Women 89.0± 6.2
Lived at home5451 (92.8)4542 (77.4)
Living alone2497 (42.5)2829 (48.2)
Living together2954 (50.3)1713 (29.2)
In an institution421 (7.2)1330 (22.6)
Care-need level
Requiring support 1 1050 (17.9)247 (4.2)
Requiring support 21816 (30.9)624 (10.6)
Requiring long-term care 11285 (21.9)718 (12.2)
Requiring long-term care 2807 (13.7)1024 (17.4)
Requiring long-term care 3 452 (7.7)1039 (17.7)
Requiring long-term care 4 304 (5.2)1211 (20.6)
Requiring long-term care 5158 (2.7)1009 (17.2)
SD: Standard deviation.
Table
Table 2. Non-independency prevalence rates for ADL items in 2009 and 2018.
Table 2. Non-independency prevalence rates for ADL items in 2009 and 2018.
n = 5872
ADL ItemsAllMenWomen
% (n)% (n)% (n)p †
2009 yGrooming58.6 (3443)63.8 (729)57.4 (2714)<0.001
Bathing49.7 (2921)57.1 (653)48.0 (2268)<0.001
Upper-body dressing29.4 (1724)43.2 (494)26.0 (1230)<0.001
Lower-body dressing28.6 (1680)40.8 (466)25.7 (1214)<0.001
Mobility25.4 (1490)32.7 (374)23.6 (1116)<0.001
Urination25.1 (1476)34.6 (395)22.9 (1081)<0.001
Defecation23.3 (1366)31.9 (365)21.2 (1001)<0.001
Transfer18.6 (1094)25.5 (291)17.0 (803)<0.001
Eating12.0 (703)17.4 (199)10.7 (504)<0.001
2018 yGrooming89.8 (5275)90.6 (1035)89.7 (4240)0.383
Bathing85.1 (5000)86.8 (992)84.8 (4008)<0.086
Upper-body dressing68.4 (4017)72.9 (833)67.3 (3184)<0.001
Lower-body dressing62.9 (4064)73.4 (839)68.2 (3225)<0.001
Mobility62.2 (3654)60.0 (686)62.8 (2968)0.089
Urination66.2 (3885)69.6 (796)65.3 (3089)0.006
Defecation64.0 (3757)66.6 (761)63.4 (2996)0.043
Transfer49.9 (2933)48.1 (550)50.4 (2383)0.177
Eating34.9 (2051)32.9 (376)35.4 (1675)0.112
χ2 test
† Significance of the difference in the ADL items’ non-independency between men and women. ADL: activities of daily living.
Table
Table 3. Proportion of positive responses for each ADL item in both 2009 and 2018.
Table 3. Proportion of positive responses for each ADL item in both 2009 and 2018.
2009 y2018 y Δ β
ADL Itemsβ2009SEχ2pRβ2018SEχ2pR
AllGrooming0.2630.018398.5<0.00111.4760.025376.3<0.00111.213
Bathing0.0250.016207.2<0.00121.2310.025393.2<0.00121.206
Upper-body dressing−0.5780.01886.8<0.00130.5680.020205.8<0.00141.146
Lower-body dressing−0.6040.018153.9<0.00140.5950.021220.2<0.00131.199
Mobility−0.7210.01877.9<0.00150.3650.0201112.8<0.00171.086
Urination−0.730.018188.1<0.00160.4930.020116.1<0.00151.223
Defecation−0.8020.019216.8<0.00170.4210.020141.8<0.00161.223
Transfer−0.9980.02049.3<0.00180.00.0191746.2<0.00180.998
Eating−1.3380.022189.8<0.0019−0.4360.0221493.2<0.00190.902
MenGrooming0.3760.04616.6<0.00111.5640.05961.2<0.00111.188
Bathing0.1770.04425.7<0.00121.3350.05468.6<0.00121.158
Upper-body dressing−0.2260.04222.3<0.00130.720.04627.9<0.00140.946
Lower-body dressing−0.2990.04344.4<0.00140.7390.04656.2<0.00131.038
Mobility−0.5520.04419.0<0.00160.2930.04350.2<0.00170.845
Urination−0.4930.04462.6<0.00150.6050.04535.2<0.00151.098
Defecation−0.5780.04569.3<0.00170.5010.04434.8<0.00161.079
Transfer−0.8030.04720.3<0.0018−0.0490.04321.7<0.00180.754
Eating−1.1310.05237.7<0.0019−0.490.04689.7<0.00190.641
WomenGrooming0.2410.019447.4<0.00111.4580.027433.1<0.00111.217
Bathing−0.0050.017214.0<0.00121.210.027433.9<0.00121.215
Upper-body dressing−0.6690.02168.6<0.00130.5380.022248.5<0.00141.207
Lower-body dressing−0.6810.021108.9<0.00140.5670.022221.3<0.00131.248
Mobility−0.760.021133.4<0.00150.3880.021780.1<0.00171.148
Urination−0.7890.021138.4<0.00160.4720.022131.0<0.00151.261
Defecation−0.8590.022160.1<0.00170.4070.021166.6<0.00161.266
Transfer−1.0490.024112.7<0.00180.0170.0211564.1<0.00181.066
Eating−1.3940.026188.6<0.0019−0.4210.0241270.7<0.00190.973
Men
median (quartile)		 Women
median (quartile)		 p†
Total of Δ β1.038 (0.845, 1.098) 1.215 (1.148, 1.248) 0.008
ADL: activities of daily living, β : item severity, SE: standard error, R: rank based on β , Δ β : difference between β 2009 and β 2018 . † Significance of the difference in total of Δ β between men and women.
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Okabe, T.; Suzuki, M.; Iso, N.; Tanaka, K.; Sagari, A.; Miyata, H.; Han, G.; Maruta, M.; Tabira, T.; Kawagoe, M. Long-Term Changes in Older Adults’ Independence Levels for Performing Activities of Daily Living in Care Settings: A Nine-Year Follow-Up Study. Int. J. Environ. Res. Public Health 2021, 18, 9641. https://doi.org/10.3390/ijerph18189641

AMA Style

Okabe T, Suzuki M, Iso N, Tanaka K, Sagari A, Miyata H, Han G, Maruta M, Tabira T, Kawagoe M. Long-Term Changes in Older Adults’ Independence Levels for Performing Activities of Daily Living in Care Settings: A Nine-Year Follow-Up Study. International Journal of Environmental Research and Public Health. 2021; 18(18):9641. https://doi.org/10.3390/ijerph18189641

Chicago/Turabian Style

Okabe, Takuhiro, Makoto Suzuki, Naoki Iso, Koji Tanaka, Akira Sagari, Hironori Miyata, Gwanghee Han, Michio Maruta, Takayuki Tabira, and Masahiro Kawagoe. 2021. "Long-Term Changes in Older Adults’ Independence Levels for Performing Activities of Daily Living in Care Settings: A Nine-Year Follow-Up Study" International Journal of Environmental Research and Public Health 18, no. 18: 9641. https://doi.org/10.3390/ijerph18189641

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