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The estimation of the clinical status of the residents in a geriatric health service facility in Japan
Mailing address: Social Medical Corporation San’aikai Geriatric health services facility TABARU, Hukada 936-1-1, Tabaru, Oita 870-1154, Japan.
Email: maedat_0717@yahoo.co.jp
Received: 30 April 2025 / Revised: 20 May 2025 / Accepted: 04 June 2025 / Published: 27 June 2025
DOI: 10.31491/APT.2025.06.175
Abstract
In order to introduce the current status of residents in geriatric care facilities in Japan, which has become a super-aging society, we investigated the relationship between the age of residents of a care facility, the level of care they needed, their estimated telomere length, the number of teeth they had left, medical history, body temperature, and body mass index (BMI). Our findings indicated that in the facility’s male residents, aging was linked to cancer, stroke, and lumbar fracture, while in female residents, it was associated with hypertension. Tooth loss appears to begin from the left side of the mouth as an individual ages, affecting both men and women regardless of gender, individuals with a history of stroke often require a high level of care and exhibit high body temperatures. Conversely, cancer survivors typically had low body temperature. These observations suggest a possible connection between individual body temperature and the pathologies of stroke and cancer. Among women, those who had previously contracted COVID-19 or urinary tract infections needed more care. However, women with hypertension require less care. Patients with dementia tended to maintain their BMI and required less care, likely due to the challenges families face in providing care. These traits highlight the characteristics of elderly individuals residing in care facilities and suggest that the reasons for entering such facilities extend beyond aging and increased care needs, involving a wide range of other factors as well.
Keywords
Geriatric assessment, geroscience, longevity, nursing home issues
Introduction
Japan’s elderly population is increasing at the fastest pace globally,
and more people are finding it difficult to live independently due to
the decrease in physical activity associated with
aging [1].
Based on Article 8, Paragraph 28 of the Nursing Care
Insurance Act: a geriatric health services facility is
defined as a place that offers nursing care, functional
training, and other essential medical care and daily living
support, all under a doctor’s supervision. This is intended
for individuals who need nursing care or assistance and cannot
live at home, to maintain and restore their physical and mental
functions as outlined in a facility service
plan [2].
Geriatric health service facilities cater to elderly
individuals with diminished physical abilities, including
those who cannot manage daily life at home with their
families due to chronic illnesses. I believe that the
factors related to care for residents of elderly care
facilities might be intricately interrelated, so I
began researching the interrelationships between multiple
factors that seem to be related to care, such as aging,
physical condition, and pre-existing diseases.
Materials and methods
The analysis focused on 131 residents who were admitted to the Tabaru nursing home in Oita City between April 2022 and December 2023. Their profiles are detailed in Table 1. The physical conditions assessed included the level of required care, body temperature, body mass index (BMI), number of remaining teeth at the time of admission, and medical history.
Table 1.
The profiles of the residents, detailing both their
age-related parameters and physical characteristics.
Whole | Men | Women | |
---|---|---|---|
Max. BT | 36.7 ± 0.25 | 36.7 ± 0.20 | 36.7 ± 0.28 |
Min. BT | 36.1 ± 0.23 | 36.1 ± 0.19 | 36.1 ± 0.25 |
Remaining teeth | 12.7 ± 10.56 | 18.1 ± 9.35 | 10.1 ± 10.15 |
Note: The values are presented as the mean value ± standard deviations. Abbreviations are explained within the Text.
The subaxillary temperatures of the subjects were measured
around 10:00 a.m. daily for one week following their admission,
using an electronic underarm thermometer (Electronic underarm
thermometer, C207, TERUMO CORPORATION, Tokyo). For analysis,
the highest and lowest temperatures recorded (Max.
BT and min. BT) were considered.
The required level of care was determined based on
criteria established set by the Ministry of Health,
Labor and Welfare of Japan, which defined the daily
care time as follows: Level 1 requires 32 to less
than 50 minutes, Level 2 requires 50 to less than
70 minutes, Level 3 requires 70 to less than 90,
Level 4 requires 90 to less than 110 minutes, Level
5 requires 110 minutes or more.
Upon admission, blood tests were conducted after
obtaining informed consent from the subjects or
their families. The estimated telomere length (eTL)
was calculated using a formula based on clinical
blood data, as follows [3]:
eTL (kb) (Men) = 8.59–0.037 × Age (years) + 0.024 × Hb (g/dL)
eTL (kb) (Women) = 4.83–0.019 × Age (years) + 0.23 × Alb (g/dL)
+ 0.0001 × WBC (/mm3) + 0.0020 × RBC (× 104/mm3) + 0.0032 × TC (mg/dL).
Note: Hb for Hemoglobin, Alb for Serum albumin, WBC for
white blood cell count, RBC for red blood cell count,
and TC for serum total cholesterol.
In this investigation, the subjects’ age and eTL were
employed as parameters associated with aging. No studies
have investigated the telomere length of residents of
geriatric care facilities at the genomic DNA level. The
decline in physical performance associated with aging is
related to the telomere shortening related to
aging [4]. We
devised a formula to calculate the estimated telomere
length using clinical blood data, eliminating the need
to extract DNA from patients’ somatic cells. This approach
allows us to estimate past somatic telomere length from
individuals’ clinical data records.
It is anticipated that analysis using both age and eTL
will be more sensitive in detecting aging and aging-related
findings compared to using age alone.
The subjects’ BMI was calculated from their height and
weight at the time of admission. A dental hygienist counted
the remaining teeth of the subjects at the time of admission.
Results
The patients were categorized into groups above and below the average age and average eTL, and the relationship between body temperature, BMI, level of care required, number of remaining teeth, and each aging factor was examined (Table 2).
Table 2.
The relationship between the residents' physical characteristics and their aging-related parameters.
Men | ||||||
---|---|---|---|---|---|---|
Age (years) | eTL (kb) | |||||
> Av | < Av | P-value | > Av | < Av | P-value | |
Level of care | 2.79 ± 1.56 | 3.16 ± 1.38 | 0.420 | 3.00 ± 1.32 | 2.93 ± 1.59 | 0.870 |
Remaining teeth | 16.50 ± 9.93 | 20.05 ± 8.40 | 0.211 | 20.75 ± 7.88 | 16.48 ± 9.91 | 0.128 |
Women | ||||||
Age (years) | eTL (kb) | |||||
> Av | < Av | P-value | > Av | < Av | P-value | |
Level of care | 3.05 ± 1.25 | 3.24 ± 1.48 | 0.521 | 3.49 ± 1.26 | 2.79 ± 1.39 | 0.001* |
Remaining teeth | 7.33 ± 9.22 | 12.88 ± 10.41 | 0.010 | 11.69 ± 9.72 | 8.33 ± 10.42 | 0.273 |
Note: The values are presented as the mean value ± standard deviations. Av indicates the average. * represent as having a P-value of less than 0.05.
Despite an approximate six-year gap in the average
age between men and women, the estimated average telomere
length was nearly identical, indicating a similar rate of
aging among residents regardless of gender.
Significant correlations between physical status and
age-related factors were discovered only in women.
Older women had fewer teeth, and lower eTL was linked
to reduced levels of caregiving in women. Meanwhile,
residents of long-term care facilities generally
retained their physical activity capacity regardless of age.
When analyzing the relationship between individual
tooth loss and aging parameters, men in the short TL
group were more likely to lose teeth in the upper left
region of the mouth while preserving their lower right
anterior teeth (Table 3). In women, tooth loss in the
upper left, lower left, and lower right regions was
significantly more common in the older age group,
with lower right tooth loss being notably more frequent
in the short TL group.
Past or current illnesses associated with age-related
parameters included cancer, lumbar fracture, and ischemic
heart disease in men, while hypertension was the primary
condition in women (Table 4).
Table 3.
The count of remaining teeth among the residents examined.
Age | eTL | ||||
---|---|---|---|---|---|
> Av | < Av | P-value | > Av | < Av | P-value |
13 | 13 | 0.351 | 12 | 14 | 0.128 |
11 | 14 | 0.065 | 13 | 12 | 0.012* |
Note: “Av” represents the average. * represent as having a P-value of less than 0.05.
Table 4.
The connection between aging and physical
parameters with the residents preexisting
diseases.
men | |||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Age | eTL | Max.BT | Min.BT | BMI | Level of care | Remaining teeth | |||||||||||||||
> Av | < Av | P | > Av | < Av | P | > Av | < Av | P | > Av | < Av | P | > Av | < Av | P | > Av | < Av | P | > Av | < Av | P | |
Population | 0 | 19 | - | 16 | 27 | - | 16 | 27 | - | 24 | 19 | - | 19 | 24 | - | 27 | 16 | - | 24 | 19 | - |
Dementia | 7 | 7 | 0.607 | 7 | 7 | 0.258 | 8 | 6 | 0.080 | 8 | 6 | 0.707 | 6 | 8 | 0.906 | 10 | 4 | 0.417 | 6 | 8 | 0.253 |
DM | 8 | 6 | 0.906 | 4 | 10 | 0.417 | 5 | 9 | 0.891 | 10 | 4 | 0.185 | 7 | 7 | 0.607 | 11 | 3 | 0.123 | 8 | 6 | 0.906 |
Cancer | 8 | 2 | 0.069 | 1 | 9 | 0.020* | 1 | 9 | 0.020* | 7 | 3 | 0.346 | 4 | 6 | 0.766 | 5 | 5 | 0.377 | 7 | 3 | 0.302 |
HT | 14 | 10 | 0.717 | 7 | 17 | 0.237 | 9 | 15 | 0.966 | 15 | 9 | 0.433 | 12 | 12 | 0.399 | 11 | 13 | 0.006* | 14 | 10 | 0.717 |
HL | 2 | 5 | 0.141 | 3 | 4 | 0.750 | 4 | 3 | 0.287 | 4 | 3 | 1.000 | 3 | 4 | 0.940 | 5 | 2 | 0.602 | 3 | 4 | 0.475 |
Arrhythmia | 4 | 1 | 0.232 | 1 | 4 | 0.366 | 2 | 3 | 0.896 | 4 | 1 | 0.252 | 3 | 2 | 0.476 | 3 | 2 | 0.896 | 4 | 1 | 0.232 |
Apoplexy | 6 | 9 | 0.140 | 8 | 7 | 0.132 | 9 | 6 | 0.033* | 8 | 7 | 1.000 | 6 | 9 | 0.693 | 13 | 2 | 0.009* | 6 | 9 | 0.140 |
Lumbal fx | 4 | 0 | 0.043* | 0 | 4 | 0.043* | 2 | 2 | 0.614 | 2 | 2 | 0.773 | 2 | 2 | 0.814 | 1 | 3 | 0.177 | 2 | 2 | 0.814 |
Femoral fx | 1 | 2 | 0.452 | 2 | 1 | 0.356 | 1 | 2 | 0.887 | 2 | 1 | 0.730 | 2 | 1 | 0.452 | 2 | 1 | 0.887 | 2 | 1 | 0.696 |
COVID-19 | 7 | 8 | 0.394 | 7 | 8 | 0.374 | 7 | 8 | 0.374 | 8 | 7 | 1.000 | 6 | 9 | 0.693 | 11 | 4 | 0.294 | 7 | 8 | 0.394 |
CKD | 4 | 3 | 0.940 | 2 | 5 | 0.602 | 2 | 5 | 0.602 | 5 | 2 | 0.399 | 5 | 2 | 0.141 | 4 | 3 | 0.750 | 5 | 2 | 0.360 |
HF | 6 | 3 | 0.464 | 2 | 7 | 0.275 | 4 | 5 | 0.636 | 5 | 4 | 0.917 | 6 | 3 | 0.151 | 6 | 3 | 0.790 | 7 | 2 | 0.126 |
IHD | 5 | 1 | 0.127 | 0 | 6 | 0.011* | 3 | 3 | 0.523 | 3 | 3 | 0.716 | 5 | 1 | 0.059 | 5 | 1 | 0.220 | 4 | 2 | 0.566 |
UTI | 4 | 2 | 0.566 | 1 | 5 | 0.220 | 4 | 2 | 0.167 | 4 | 2 | 0.613 | 3 | 3 | 0.767 | 5 | 1 | 0.220 | 2 | 4 | 0.265 |
Pneumonia | 7 | 3 | 0.302 | 2 | 8 | 0.174 | 5 | 5 | 0.377 | 7 | 3 | 0.346 | 6 | 4 | 0.275 | 8 | 2 | 0.174 | 4 | 6 | 0.275 |
Women | |||||||||||||||||||||
Age | eTL | Max.BT | Min.BT | BMI | Level of care | Remaining teeth | |||||||||||||||
> Av | < Av | P | > Av | < Av | P | > Av | < Av | P | > Av | < Av | P | > Av | < Av | P | > Av | < Av | P | > Av | < Av | P | |
Population | 43 | 45 | - | 45 | 43 | - | 46 | 42 | - | 50 | 38 | - | 44 | 44 | - | 38 | 50 | - | 36 | 52 | - |
Dementia | 19 | 22 | 0.407 | 20 | 21 | 0.684 | 19 | 22 | 0.304 | 22 | 19 | 0.582 | 26 | 15 | 0.019* | 13 | 28 | 0.042 | 15 | 26 | 0.446 |
DM | 4 | 5 | 0.651 | 6 | 3 | 0.328 | 4 | 5 | 0.651 | 7 | 2 | 0.152 | 6 | 3 | 0.282 | 2 | 7 | 0.171 | 4 | 5 | 0.848 |
Cancer | 5 | 7 | 0.487 | 6 | 6 | 0.933 | 7 | 5 | 0.654 | 3 | 9 | 0.027* | 4 | 8 | 0.219 | 4 | 8 | 0.454 | 4 | 8 | 0.562 |
HT | 38 | 24 | 0.003* | 28 | 34 | 0.084 | 32 | 30 | 0.850 | 40 | 22 | 0.029* | 34 | 28 | 0.165 | 25 | 37 | 0.414 | 26 | 36 | 0.765 |
HL | 15 | 9 | 0.194 | 11 | 13 | 0.548 | 12 | 12 | 0.797 | 13 | 11 | 0.763 | 12 | 12 | 1.000 | 7 | 17 | 0.097 | 14 | 10 | 0.052 |
Arrhythmia | 4 | 10 | 0.070 | 9 | 5 | 0.286 | 11 | 3 | 0.029* | 9 | 5 | 0.537 | 5 | 9 | 0.249 | 8 | 6 | 0.271 | 5 | 9 | 0.666 |
Apoplexy | 13 | 20 | 0.091 | 21 | 12 | 0.070 | 22 | 11 | 0.036* | 23 | 10 | 0.056 | 16 | 17 | 0.828 | 23 | 10 | 0.000* | 10 | 23 | 0.113 |
Lumbal fx | 13 | 6 | 0.089 | 8 | 11 | 0.381 | 10 | 9 | 0.972 | 9 | 10 | 0.363 | 11 | 8 | 0.443 | 6 | 13 | 0.242 | 8 | 11 | 0.906 |
Femoral fx | 15 | 13 | 0.758 | 13 | 15 | 0.552 | 18 | 10 | 0.124 | 16 | 12 | 0.967 | 15 | 13 | 0.652 | 12 | 16 | 0.967 | 12 | 16 | 0.803 |
COVID-19 | 16 | 19 | 0.415 | 20 | 15 | 0.365 | 17 | 18 | 0.578 | 20 | 15 | 0.961 | 16 | 19 | 0.519 | 22 | 13 | 0.003* | 13 | 22 | 0.563 |
CKD | 2 | 2 | 0.963 | 1 | 3 | 0.296 | 1 | 3 | 0.281 | 2 | 2 | 0.785 | 4 | 0 | 0.044 | 1 | 3 | 0.435 | 1 | 3 | 0.487 |
HF | 11 | 4 | 0.058 | 6 | 9 | 0.351 | 7 | 8 | 0.639 | 7 | 8 | 0.400 | 7 | 8 | 0.780 | 5 | 10 | 0.393 | 7 | 8 | 0.630 |
IHD | 11 | 4 | 0.058 | 7 | 8 | 0.708 | 11 | 4 | 0.070 | 8 | 7 | 0.770 | 7 | 8 | 0.780 | 8 | 7 | 0.400 | 5 | 10 | 0.508 |
UTI | 8 | 10 | 0.531 | 11 | 7 | 0.347 | 13 | 5 | 0.055 | 12 | 6 | 0.340 | 8 | 10 | 0.602 | 12 | 6 | 0.032 | 7 | 11 | 0.847 |
Pneumonia | 10 | 9 | 0.885 | 9 | 10 | 0.715 | 13 | 6 | 0.110 | 10 | 9 | 0.684 | 6 | 13 | 0.071 | 9 | 10 | 0.684 | 9 | 10 | 0.531 |
Note: The number of patients with each disease is listed. “Av” represents the average. * represent as having a P-value of less than 0.05. The abbreviations used are as follows: DM for diabetes mellitus, HT for hypertension, HL for dyslipidemia, fx for fracture, CKD for chronic kidney disease, IHD for ischemic heart disease, and UTI for urinary tract infection. Other abbreviations are the same as those explained in the text or used in other tables.
Regarding the correlation between past or current
illnesses and body temperature, men with a low maximum
body BT was more commonly cancer survivors, whereas
those with a high Max. BT were more likely
to have a history of stroke. Meanwhile, in women,
a high Max. BT to a higher prevalence of
arrhythmias and strokes, while a high min.
BT was more common among hypertensive patients.
Conversely, a low min. BT was more frequently
observed in cancer survivors. In both men and women,
individuals with a history of stroke generally had
higher body temperatures, whereas cancer survivors
tended to have lower body temperatures.
The association between pre-existing diseases and BMI
was only observed in women, with dementia and chronic
kidney disease being more common in those with a higher BMI.
Regarding the relationship between pre-existing
diseases and the level of care required, men with
a history of stroke were more prevalent in the
high-care group while those with hypertension were
more common in the low-care group. This suggests
that hypertension may not directly impact the level
of care needed.
When analyzing the total number of remaining teeth,
no significant correlation between tooth loss and
pre-existing diseases was found in either men or women.
Discussion
Because mean leukocyte telomere length is inversely
linked to daily physical activity capacity, as measured by
the Barthel index [5],
telomere shortening is believed to be linked to increased difficulty
in living at home due to reduced physical function. In this analysis,
the eTL was 5.8 kb for both men and women upon admission to the elderly
care facility, suggesting that a reduction in mean leukocyte telomere
length to 5.8 kb may serve as an indicator of the challenges of
independent living.
Age-related changes in body temperature, BMI, required care level,
and number of remaining teeth were observed only in women, showing
a trend of increasing care needs and decreasing tooth count. The
absence of a similar trend in men may be attributed to the significantly
smaller number of men included in the analysis.
The decline in physical function and the progression of aging
in elderly care facilities do not always follow a parallel trajectory,
showing a different pattern compared to the general elderly population.
This discrepancy highlights the unique characteristics of elderly care
facilities. It suggests that these facilities accommodate individuals
with physical impairments that are not solely attributed to aging.
Additionally, elderly care facilities play a crucial in rehabilitating
residents, helping them to regain their ability to perform daily activities
by enhancing their remaining physical functions.
The number of remaining teeth revealed a tendency for women to
experience loss of teeth with age. However, when examining individual
teeth, men also exhibited age-related tooth loss, particularly in the
upper left region of the mouth, whereas women lost teeth in the upper
left, lower left, and lower right areas. This suggests that in both
men and women, the left or upper left side of the mouth is more susceptible
to age-related tooth loss than the right side. It is uncertain whether
this left-right difference in tooth loss is unique to elderly care
facility residents. However, tooth loss on the left or upper left
side appears to be an age-related change associated with admission
to such facilities. Monitoring the condition of teeth in these areas
could serve as a potential indicator for detecting early signs of aging.
When examining specific diseases, cancer, stroke, and lumbar fractures
in men, as well as hypertension in women, were more prevalent in the
elderly group or those with a short eTL group. This suggests that
these conditions are age-related and that the decline in physical
activity caused by these diseases contributes to the need for
admission to care facilities.
Certain diseases are also linked to body temperature, with
associations observed for cancer, stroke, arrhythmia, and
high blood pressure. In both men and women, cancer patients
tended to have lower body temperatures, while those with a
history of stroke exhibited higher body temperatures. Arrhythmia
and hypertension were associated with higher body temperatures
but only in women. Since these conditions can contribute to strokes,
there may be a connection between elevated high body temperature
stroke onsets. For cancer survivors, it remains unclear whether
their body temperature is a consequence of cancer or if individuals
with low body temperatures are more susceptible to developing cancer.
However, previous studies have suggested that individuals who bathe
in hot springs daily have higher cancer survival rates [6, 7]. This
implies that maintaining body temperature may play a role in prolonging
the lives of cancer survivors, potentially by reducing the risk of
recurrence.
Women with dementia tend to have a higher BMI and require a low level
of care. Patients with dementia appear to maintain some level of
nutritional status and physical activity. It is assumed that dementia
patients enter institutions not because their physical function has
deteriorated, but because it is becoming increasingly difficult for
them to live a peaceful daily life with their families.
Men and women with a history of stroke were more likely to receive
higher levels of care. Women with a history of urinary tract infections
were more likely to be in the higher care group, implying that a long-term
decline in urinary function contributed to institutionalization. This was
also true for women who had previously contracted COVID-19, as they experienced
long-term declines in physical capacity after COVID-19 infection [8].
Further research is needed to confirm the findings presented here.
Conclusions
Aging-related diseases associated with admission to elderly care
facilities differed between men and women. In men, the most common
causes were stroke and lumbar fracture, while in women, the most
common causes were hypertension.
Diseases associated with the need for nursing care were stroke in
both men and women, and urinary tract infection and history of
COVID-19 infection in women.
The number of remaining teeth is presumed to be associated with
the need for nursing care. Tooth loss associated with the hallway
tended to start on the left side in both men and women.
The average estimated telomere length of elderly care residents
was 5.8 kb in both men and women, which may be an indicator of
admission to a facility.
Body temperature was not associated with the level of nursing
care required, but hypothermia was observed in cancer survivors,
and keeping warm may be associated with the life expectancy of
people with a history of cancer.
Declarations
Author contributions
Maeda T contributes to data curation, formal analysis, funding acquisition, methodology, project administration, resources, software, validation, visualization, and writing of this manuscript.
Acknowledgments
I would like to thank the dental hygienist, Ms. Asami Kawano, for counting and recording the number of remaining teeth of the residents of the geriatric health services facility Tabaru.
Financial support and sponsorship
This work was supported by Health, Labor and Welfare Scientific Research Fund Grant Number 24FA1004.
Conflicts of interest
Not applicable.
Ethical approval and informed consent
This is not an interventional study, but an observational study using clinical data recorded during routine care after hospitalization. Clinical research at TABARU Geriatric Health Care Facility is conducted with comprehensive consent for the use of personal data. In addition, consent for the use of clinical data is also obtained from the residents' families at the time of hospitalization.
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