Miyuki Nemoto
University of Tsukuba
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Featured researches published by Miyuki Nemoto.
Archives of Gerontology and Geriatrics | 2010
Miji Kim; Noriko Yabushita; Maeng-Kyu Kim; Miyuki Nemoto; Satoshi Seino; Kiyoji Tanaka
We aimed to compare and identify high and low risk of frailty in community-dwelling older women by using five mobility performance tests. The participants were 166 older women at high risk and 171 age-matched controls at low risk of frailty according to the long-term care insurance (LTCI) system (age: 65-90 years). The mobility performance tests included 5-chair sit-to-stand (STS), alternate step, timed up-and-go (TUG), timed rapid gait (TRG), and usual gait speed (UGS). Data analysis showed that high-risk individuals (81.9%) were more likely to be pre-frail than low-risk individuals (55.0%) by Frieds frailty phenotype. The four mobility performance tests, except the 5-chair STS, had the largest areas under the curve (AUC) for discriminating older women at high and low risk (AUC>0.80, p<0.001). The optimal cutpoint (6 s) for the TRG test had the highest sensitivity (78%) and specificity (83%) in identifying high risk of frailty. Our results suggest that walking ability tests are clinically useful in screening older individuals at high risk of frailty. In particular, the TRG test is more likely than other tests to discriminate older women at high risk of frailty based on the LTCI system.
Archives of Gerontology and Geriatrics | 2015
Yoshiro Okubo; Satoshi Seino; Noriko Yabushita; Yosuke Osuka; Songee Jung; Miyuki Nemoto; Rafael Figueroa; Kiyoji Tanaka
The purpose of this longitudinal study was to examine the association between habitual walking and multiple or injurious falls (falls) among community-dwelling older adults, by considering the relative risk of falling. A cohort of Japanese community-dwelling older adults (n=535) aged 60-91 years (73.1±6.6 year, 157 men and 378 women) who underwent community-based health check-ups from 2008 to 2012 were followed until 2013. Incidence rate of falls between walkers and non-walkers was compared separately by the number of risk factors (Groups R0, R1, R2, R3 and R4+). The Cox proportional hazard model was used to assess the association between habitual walking and falls separately by lower- (R<2) and higher- (R≥2) risk groups. In Groups R0 and R1, the incidence of falls was lower in walkers than non-walkers; however, in Groups R2, R3, and R4+, the incidence of falls was higher in walkers. The Cox proportional hazard model showed that habitual walking was not significantly associated with falls (hazard ratio (HR): 0.88, 95% confidence interval (CI): 0.48-1.62) among the lower risk group but that it was significantly associated with increased falls (HR: 1.89, 95% CI: 1.04-3.43) among the higher risk group. The significant interaction between habitual walking and higher risk of falling was found (P<0.05). When individuals have two or more risk factors for falling, caution is needed when recommending walking because walking can actually increase their risk of experiencing multiple or injurious falls.
Archives of Gerontology and Geriatrics | 2012
Miyuki Nemoto; Noriko Yabushita; Miji Kim; Tomoaki Matsuo; Satoshi Seino; Kiyoji Tanaka
This study aimed to evaluate the physical frailty status of vulnerable older adults as classified in the Japanese LTCI system and to compare this with Frieds definition. A total of 444 older adults were classified based on the LTCI system as independent, vulnerable, or dependent, and 400 of these participants also fit Frieds criteria for not frail, pre-frail or frail. We evaluated their physical function with a 12 item physical function test. We derived a physical function score (PFS) from these 12 items and a principal component analysis was used to make comparisons. The receiver operating characteristic (ROC) curve analysis was performed to identify the sensitivity and specificity of the PFS cut-off points to distinguish the dependent category from the other categories. We found significant differences and a hierarchical order for the PFSs among the three groups of the LTCI system (the independent, 0.41 ± 0.54; the vulnerable, -0.40 ± 0.76; and the dependent, -1.49 ± 0.73) and of Frieds definition (not frail, 0.50 ± 0.51; pre frail, -0.11 ± 0.63; and frail, -1.25 ± 0.98). The optimal cut-off value (OCV) was -0.593. This study showed that the range of physical function of people considered frail category (pre-frail, vulnerable, and frail) is wide and overlapping. That is, the physical function of vulnerable older adults is worse than the pre-frail, but better than the frail. To better recognize older adults in need of greater support, the vulnerable should also receive assessment of their frailty status according to Frieds definition.
Archives of Gerontology and Geriatrics | 2012
Satoshi Seino; Miji Kim; Noriko Yabushita; Miyuki Nemoto; Songee Jung; Yosuke Osuka; Yoshiro Okubo; Tomoaki Matsuo; Kiyoji Tanaka
Overall physical performance can be represented by a composite score that is derived from upper and lower extremity performance measures. We aimed to identify whether composite scores of performance measures, particularly the lower extremity performance (LEP) score, upper extremity performance (UEP) score, and an overall score, are more accurate than usual gait speed (UGS) for assessing a wide range of functional status. We conducted a cross-sectional analysis on data from 701 community-dwelling older women (mean age 74.3 years). Trained testers measured UGS and the seven tests included in the composite scores. Using self-reported questionnaires, we assessed multiphasic functional status: physical function, higher-level functional capacity, mobility limitation, activities of daily living (ADLs), and falls. We compared the areas under the receiver operating characteristic curves (AUCs) of UGS with LEP, UEP, and overall scores for each status. We found no significant differences between the AUCs of UGS and LEP score for each status. The UEP score had significantly smaller AUCs for low physical function (0.73) and mobility limitation (0.78) than UGS alone (0.81 and 0.85, respectively), and the differences were substantial. Although the overall score had significantly greater AUCs for low higher-level functional capacity (0.83) and ADLs disability (0.83) than UGS alone (0.78 and 0.80, respectively), the differences were only 3-5%. The UGS should not be regarded solely as a measure of lower extremity function; this single test may represent overall physical performance. The UGS alone, which can be measured quickly and easily, suffice for assessing a wide range of functional status in older women.
Journal of Nutrition Health & Aging | 2015
Songee Jung; Noriko Yabushita; Miji Kim; Satoshi Seino; Miyuki Nemoto; Yosuke Osuka; Yoshiro Okubo; Rafael Figueroa; Kiyoji Tanaka
OBJECTIVES To examine the combined association of obesity and low muscle strength with mobility limitation in older adults. DESIGN, SETTING AND PARTICIPANTS This two-year follow-up longitudinal study included pooled data from 283 older community-dwelling Japanese women without mobility limitations who were 65 to 87 years of age (mean age 72.2 ± 5.0 years). MEASUREMENTS Muscle strength was measured by hand-grip strength (HGS). The participants were categorized by HGS (high muscle strength: HGS ≥19.6 kg, low muscle strength: HGS <19.6 kg) and body mass index (BMI) (obese: BMI ≥25 kg/m2, normal weight: BMI <25 kg/m2). The main outcome was mobility limitation, assessed by a self-reported questionnaire (difficulty walking one-half mile or climbing 10 steps without resting). Multivariate logistic regression analysis was performed to determine the combined effect of HGS and BMI on mobility limitation, adjusting for age, exercise habits, medications, and knee pain. RESULTS During the follow-up period, 82 of 283 participants (29.0%) developed mobility limitation. The adjusted odds ratios (95% confidence interval) for the incidence of mobility limitation were 1.53 (0.86-2.73) and 2.05 (1.08-3.91) in the obese and low muscle strength groups, respectively. Obesity combined with low muscle strength exhibited a significant and strong association with mobility limitation (odds ratio: 3.88, 1.08-13.91) compared with participants with normal weight and high muscle strength. CONCLUSION Among community-dwelling older Japanese women, obesity alone was not associated with the incidence of mobility limitation, but when combined with low muscle weakness, the risk of developing mobility limitation was 3.9-fold greater than for the reference group.
Archives of Gerontology and Geriatrics | 2012
Satoshi Seino; Noriko Yabushita; Miji Kim; Miyuki Nemoto; Songee Jung; Yosuke Osuka; Yoshiro Okubo; Tomoaki Matsuo; Kiyoji Tanaka
Although usual gait speed (UGS) is considered an indicator of overall well-being, it is unclear whether upper extremity performance (UEP) measures provide a similar, additive contribution to functional status. We aimed to identify whether combining UEP measures can more accurately discriminate upper extremity functional limitation (UE limitation) and disability compared to UGS. We conducted a cross-sectional analysis on data from 322 community-dwelling older women, aged 65-96 years. Trained testers assessed UGS, and hand-grip strength (GRIP), functional reach (FR), back scratch, manipulating pegs (PEG), and moving beans with chopsticks as UEP measures. We assessed three functional statuses: UE limitation, activities of daily living (ADLs) and instrumental ADLs (IADLs) disabilities using self-reported questionnaires. Areas under the receiver operating characteristic curves (AUCs) were used to compare the discriminating power of UGS, with the individual and combined UEP measures for each status. Among UEP measures, only GRIP (AUC=0.68 for UE limitation, 0.81 for IADLs disability, and 0.84 for ADLs disability) could accurately discriminate each status as well as UGS (AUC=0.65, 0.83, and 0.91, respectively). Furthermore, UGS alone could discriminate UE limitation almost as well as the combination of GRIP, PEG, and FR (AUC=0.70). Combining other UEP measures did not help discriminate further. There were few advantages to combining UEP measures, and UGS or GRIP alone may suffice for assessing UE limitation and disability. However, the UGS should be the test of first choice, certainly more than GRIP, in routine assessment of functional limitation and disability, including UE limitation.
Geriatrics & Gerontology International | 2013
Satoshi Seino; Noriko Yabushita; Miji Kim; Miyuki Nemoto; Songee Jung; Yosuke Osuka; Yoshiro Okubo; Rafael Figueroa; Tomoaki Matsuo; Kiyoji Tanaka
To identify whether individual physical performance measures or a combination of measures is a better indicator of multiple geriatric syndromes (MGS) defined as the concomitant presence of more than one geriatric syndrome in an individual.
Geriatrics & Gerontology International | 2015
Yosuke Osuka; Noriko Yabushita; Miji Kim; Satoshi Seino; Miyuki Nemoto; Songee Jung; Yoshiro Okubo; Rafael Figueroa; Kiyoji Tanaka
Habitual moderate vigorous‐intensity physical activity (MVPA) positively affects lower‐extremity performance. It is unclear whether habitual light‐intensity physical activity (LPA), such as leisurely walking, has similar effects on lower‐extremity performance. The aim of the present study was to identify the associations between habitual LPA and lower‐extremity performance in older adults.
Obesity Facts | 2010
Hiroyuki Sasai; Yoshio Nakata; Miyuki Nemoto; Kazunori Ohkawara; Hiroyuki Ohkubo; Maeng-Kyu Kim; Yasutomi Katayama; Kiyoji Tanaka
Aim: To examine the degree to which air displacement plethysmography (ADP) can track body composition changes in response to weight loss in obese Japanese men. Method: 50 men, aged 30–65 years with a mean BMI of 30 kg/m2, were included in a 3-month weight loss program. Percentage of fat mass (%FM) was determined by dual energy X-ray absorptiometry (DXA) and ADP at baseline and month 3. Results: With 6.2 ± 4.3 kg of weight loss, %FM, as determined by DXA and ADP, significantly decreased by 3.9 ± 2.9% and 3.9 ± 3.3% respectively. There was no mean difference for change (Δ) in %FM between the two methods. DXA-derived Δ%FM significantly correlated with Δ%FM determined by ADP (R2 = 0.48, p < 0.01). Furthermore, the Bland-Altman plots demonstrated no systematic bias for Δ%FM (r = –0.20, p = 0.17). However, %FM by ADP (r = 0.42) at baseline and Δ%FM by ADP (r = –0.54) were significantly correlated to the differences between Δ%FM by DXA and ADP. Conclusion: These results suggest that ADP is comparably accurate for evaluating Δ%FM when compared with DXA, although there were proportional biases.
International journal of statistics in medical research | 2015
Rafael Figueroa; Satoshi Seino; Noriko Yabushita; Yoshiro Okubo; Yosuke Osuka; Miyuki Nemoto; Songee Jung; Kiyoji Tanaka
The purpose of this study was to develop an age scale for assessing activities of daily living (ADL) among community-dwelling adults aged 75 years or older. Participants were 1006 older Japanese: 312 men (79.6 ± 4.3 years) and 694 women, (79.9 ± 5.5 years). Participants completed a battery of 8 performance tests related to ADL and the Barthel index (BI) questionnaire. Spearman rank-order correlation analysis was applied to obtain the correlation of the 8 ADL performance tests with the total BI score. Three variables were high rank-order correlated with BI, secondly those items were subjected to the principal component analysis. The weighted combination of the principal component scores was summed. Resulting in an ADL score (ADLS), women = 0.075 X 1 – 0.082 X 2 – 0.063 X 3 + 0.124, men = 0.051 X 1 – 0.105 X 2 – 0.099 X 3 + 0.249, where X 1 = hand-grip strength, X 2 = timed up and go, X 3 = five-chair sit to stand. Individual ADLS was transformed to an ADL age scale (ADLA). The estimation was – 5.493 ADLS + 79.90 for women, and – 4.272 ADLS + 79.57 for men. Due to the distortion at the regression edges, the equation was corrected as suggested by Dubina et al . ADLA women after correction was = 0.447 (chronological age: CA) – 5.49ADLS + 44.17, men = 0.519CA – 4.27ADLS + 38.26. ADLA can be used to identify or monitor the characteristics of the ADL levels of physical abilities in older Japanese aged 75 years or older.