1.Plasmid profiling of Flavobacterium psychrophilum isolates from ayu (Plecoglossus altivelis altivelis) and other fish species in Japan.
Ji Hyung KIM ; Dennis K GOMEZ ; Toshihiro NAKAI ; Se Chang PARK
Journal of Veterinary Science 2010;11(1):85-87
In order to evaluate the genetic variability of the causative agent of cold water disease (CWD), plasmid profiling was used to characterize Flavobacterium (F.) psychrophilum isolates (n = 169). Size analysis of plasmids in F. psychrophilum isolates (n = 128) from several fish species demonstrated that six kinds of plasmids were harbored, and ayu isolates had different profiles compared to other isolates. Moreover, multiple isolates (n = 41) from CWD outbreaks in 2002 to 2003 at a single ayu farm were examined to determine differences between isolates from successive outbreaks and showed different profiles by the sources of seedlings.
Animals
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DNA, Bacterial/genetics
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Disease Outbreaks/*veterinary
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Electrophoresis, Agar Gel/veterinary
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Fish Diseases/genetics/*microbiology
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Flavobacteriaceae Infections/microbiology/*veterinary
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Flavobacterium/genetics/*isolation & purification
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Genetic Variation/*genetics
;
Japan
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*Osmeriformes
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Plasmids/genetics
2.Associations of Eating Out and Dietary Diversity with Mild Cognitive Impairment among Community-Dwelling Older Adults
Yuto KIUCHI ; Hyuma MAKIZAKO ; Yuki NAKAI ; Yoshiaki TANIGUCHI ; Shoma AKAIDA ; Mana TATEISHI ; Mika KIMURA ; Toshihiro TAKENAKA ; Takuro KUBOZONO ; Kota TSUTSUMIMOTO ; Hiroyuki SHIMADA ; Mitsuru OHISHI
Annals of Geriatric Medicine and Research 2024;28(3):266-272
Background:
Dementia is a critical late-life health issue that occurs among members of aging societies. This study examined the relationships between eating out, dietary diversity, and mild cognitive impairment (MCI) among community-dwelling older adults.
Methods:
We analyzed data from 597 older adults (median age 73.0 years, interquartile range 69.0–78.0 years; 62.6% females). We applied the food frequency score to evaluate diet variety and the weekly consumption frequencies of ten food items were determined. The National Center for Geriatrics and Gerontology Functional Assessment Tool (NCGG-FAT) was used to evaluate MCI. Finally, we asked the participants how often they ate out each month; those who replied "none" were categorized into the "non-eating out" group.
Results:
The overall prevalence of MCI was 122 (20.4%), with a higher prevalence in the low dietary diversity group than in the high dietary diversity group (28.6% vs. 18.6%). After adjusting for covariates, the participants who self-described as not eating out were independently associated with low dietary diversity (odds ratio [OR]=1.97, 95% confidence interval [CI] 1.20–3.20), while low dietary diversity was associated with MCI (OR=1.72; 95% CI 1.02–2.87). Structural equation models revealed that not eating out had no direct effect on MCI but was associated with MCI via low dietary diversity (root mean square error of approximation=0.030, goodness-of-fit index=0.999, and adjusted goodness-of-fit index=0.984).
Conclusions
Although non-eating out may not have a direct effect on MCI, an indirect relationship may exist between eating-out habits and MCI via dietary diversity status.
3.Associations of Eating Out and Dietary Diversity with Mild Cognitive Impairment among Community-Dwelling Older Adults
Yuto KIUCHI ; Hyuma MAKIZAKO ; Yuki NAKAI ; Yoshiaki TANIGUCHI ; Shoma AKAIDA ; Mana TATEISHI ; Mika KIMURA ; Toshihiro TAKENAKA ; Takuro KUBOZONO ; Kota TSUTSUMIMOTO ; Hiroyuki SHIMADA ; Mitsuru OHISHI
Annals of Geriatric Medicine and Research 2024;28(3):266-272
Background:
Dementia is a critical late-life health issue that occurs among members of aging societies. This study examined the relationships between eating out, dietary diversity, and mild cognitive impairment (MCI) among community-dwelling older adults.
Methods:
We analyzed data from 597 older adults (median age 73.0 years, interquartile range 69.0–78.0 years; 62.6% females). We applied the food frequency score to evaluate diet variety and the weekly consumption frequencies of ten food items were determined. The National Center for Geriatrics and Gerontology Functional Assessment Tool (NCGG-FAT) was used to evaluate MCI. Finally, we asked the participants how often they ate out each month; those who replied "none" were categorized into the "non-eating out" group.
Results:
The overall prevalence of MCI was 122 (20.4%), with a higher prevalence in the low dietary diversity group than in the high dietary diversity group (28.6% vs. 18.6%). After adjusting for covariates, the participants who self-described as not eating out were independently associated with low dietary diversity (odds ratio [OR]=1.97, 95% confidence interval [CI] 1.20–3.20), while low dietary diversity was associated with MCI (OR=1.72; 95% CI 1.02–2.87). Structural equation models revealed that not eating out had no direct effect on MCI but was associated with MCI via low dietary diversity (root mean square error of approximation=0.030, goodness-of-fit index=0.999, and adjusted goodness-of-fit index=0.984).
Conclusions
Although non-eating out may not have a direct effect on MCI, an indirect relationship may exist between eating-out habits and MCI via dietary diversity status.
4.Associations of Eating Out and Dietary Diversity with Mild Cognitive Impairment among Community-Dwelling Older Adults
Yuto KIUCHI ; Hyuma MAKIZAKO ; Yuki NAKAI ; Yoshiaki TANIGUCHI ; Shoma AKAIDA ; Mana TATEISHI ; Mika KIMURA ; Toshihiro TAKENAKA ; Takuro KUBOZONO ; Kota TSUTSUMIMOTO ; Hiroyuki SHIMADA ; Mitsuru OHISHI
Annals of Geriatric Medicine and Research 2024;28(3):266-272
Background:
Dementia is a critical late-life health issue that occurs among members of aging societies. This study examined the relationships between eating out, dietary diversity, and mild cognitive impairment (MCI) among community-dwelling older adults.
Methods:
We analyzed data from 597 older adults (median age 73.0 years, interquartile range 69.0–78.0 years; 62.6% females). We applied the food frequency score to evaluate diet variety and the weekly consumption frequencies of ten food items were determined. The National Center for Geriatrics and Gerontology Functional Assessment Tool (NCGG-FAT) was used to evaluate MCI. Finally, we asked the participants how often they ate out each month; those who replied "none" were categorized into the "non-eating out" group.
Results:
The overall prevalence of MCI was 122 (20.4%), with a higher prevalence in the low dietary diversity group than in the high dietary diversity group (28.6% vs. 18.6%). After adjusting for covariates, the participants who self-described as not eating out were independently associated with low dietary diversity (odds ratio [OR]=1.97, 95% confidence interval [CI] 1.20–3.20), while low dietary diversity was associated with MCI (OR=1.72; 95% CI 1.02–2.87). Structural equation models revealed that not eating out had no direct effect on MCI but was associated with MCI via low dietary diversity (root mean square error of approximation=0.030, goodness-of-fit index=0.999, and adjusted goodness-of-fit index=0.984).
Conclusions
Although non-eating out may not have a direct effect on MCI, an indirect relationship may exist between eating-out habits and MCI via dietary diversity status.
5.Associations of Eating Out and Dietary Diversity with Mild Cognitive Impairment among Community-Dwelling Older Adults
Yuto KIUCHI ; Hyuma MAKIZAKO ; Yuki NAKAI ; Yoshiaki TANIGUCHI ; Shoma AKAIDA ; Mana TATEISHI ; Mika KIMURA ; Toshihiro TAKENAKA ; Takuro KUBOZONO ; Kota TSUTSUMIMOTO ; Hiroyuki SHIMADA ; Mitsuru OHISHI
Annals of Geriatric Medicine and Research 2024;28(3):266-272
Background:
Dementia is a critical late-life health issue that occurs among members of aging societies. This study examined the relationships between eating out, dietary diversity, and mild cognitive impairment (MCI) among community-dwelling older adults.
Methods:
We analyzed data from 597 older adults (median age 73.0 years, interquartile range 69.0–78.0 years; 62.6% females). We applied the food frequency score to evaluate diet variety and the weekly consumption frequencies of ten food items were determined. The National Center for Geriatrics and Gerontology Functional Assessment Tool (NCGG-FAT) was used to evaluate MCI. Finally, we asked the participants how often they ate out each month; those who replied "none" were categorized into the "non-eating out" group.
Results:
The overall prevalence of MCI was 122 (20.4%), with a higher prevalence in the low dietary diversity group than in the high dietary diversity group (28.6% vs. 18.6%). After adjusting for covariates, the participants who self-described as not eating out were independently associated with low dietary diversity (odds ratio [OR]=1.97, 95% confidence interval [CI] 1.20–3.20), while low dietary diversity was associated with MCI (OR=1.72; 95% CI 1.02–2.87). Structural equation models revealed that not eating out had no direct effect on MCI but was associated with MCI via low dietary diversity (root mean square error of approximation=0.030, goodness-of-fit index=0.999, and adjusted goodness-of-fit index=0.984).
Conclusions
Although non-eating out may not have a direct effect on MCI, an indirect relationship may exist between eating-out habits and MCI via dietary diversity status.
6.Association between multimorbidity and utilization of medical and long-term care among older adults in a rural mountainous area in Japan
Yuki KUWABARA ; Toshihiro HAMADA ; Tsubasa NAKAI ; Maya FUJII ; Aya KINJO ; Yoneatsu OSAKI
Journal of Rural Medicine 2024;19(2):105-113
Objective: With the accelerated population aging, multimorbidity has become an important healthcare issue. However, few studies have examined multimorbidity and its impact on the use of medical and long-term care services in Japan. Therefore, this study aimed to examine the association between multimorbidity and the use of medical and long-term care services among older adults living in the depopulated mountainous areas of Japan.Patients and Methods: A cross-sectional study was conducted using insurance claims data from late-stage medical insurance and long-term care insurance (April 2017 to March 2018) for older adults ≥75 years residing in a mountainous area in the Tottori prefecture. In addition to the descriptive analysis, multiple generalized linear regressions with family gamma and log-link functions were used to examine the association between the number of morbidities and total annual medical and long-term care expenditures.Results: A total of 970 participants ≥75 years were included in the analysis. Participants who had two or more morbidities constituted 86.5% of the total sample. Furthermore, participants with mental disorders were found to have more comorbidities. The number of comorbidities is associated with higher medical and long-term care expenditures.Conclusion: Multimorbidity was dominant among late-stage older adults living in depopulated mountainous areas of Japan, and the number of morbidities was associated with higher economic costs of medical and long-term care services. Mitigating the impact of multimorbidity among older adults in depopulated regions of Japan is an urgent challenge. Future research should investigate the degree and effectiveness of social protections for vulnerable older adults living in remote areas.