Pet ownership-related differences in medical and long-term care costs among community-dwelling older Japanese.

This study examined the differences in medical and long-term care costs over 18 months between pet owners and non-owners among community-dwelling older Japanese. Pet ownership data were collected from 460 community-dwelling adults age 65 years and older. These data were matched with data from the National Health Insurance, health insurance for older people, and Long-Term Care Insurance beneficiaries for 17 months back from the survey on pet ownership. Pet-ownership group-specific trajectories in monthly medical and long-term care costs were modeled by a generalized estimating equation. Among pet owners (n = 96, 20.9%) and non-pet owners (n = 364, 79.1%) there were no significant differences in baseline demographic or health characteristics including chronic disease and self-reported long-term care level. At baseline, pet owners had estimated monthly medical costs of ¥48,054 (SE = 0.11; $418), compared to ¥42,260 (SE = 0.06; $367) for non-pet owners. The monthly medical costs did not differ significantly between the two groups during the 18-month follow-up period. At baseline, estimated monthly long-term care costs of pet owners and non-pet owners were ¥676 (SE = 0.75; $6) and ¥1,420 (SE = 0.52; $12), respectively. During the follow-up period, the non-pet owner to owner ratio of monthly long-term care costs was 1.2 at minimum and 2.3 at maximum. This study showed that monthly long-term care costs for pet owners were approximately half those of non-pet owners. Pet owners might use long-term care services less frequently, or use lighter care services.

Combined Impacts of Physical Activity, Dietary Variety, and Social Interaction on Incident Functional Disability in Older Japanese Adults.

BACKGROUND: This 3.6-year prospective study examined combined impacts of physical activity, dietary variety, and social interaction on incident disability and estimated population-attributable fraction for disability reduction in older adults. METHODS: Participants were 7,822 initially non-disabled residents (3,966 men and 3,856 women) aged 65-84 years of Ota City, Tokyo, Japan. Sufficiency of moderate-to-vigorous-intensity physical activity (MVPA) ≥150 min/week, dietary variety score (DVS) ≥3 (median), and social interaction (face-to-face and/or non-face-to-face) ≥1 time/week was assessed using self-administered questionnaires. Disability incidence was prospectively identified using the long-term care insurance system's nationally unified database. RESULTS: During a follow-up of 3.6 years, 1,046 (13.4%) individuals had disabilities. Independent multivariate-hazard ratios (HRs) and 95% confidence intervals (CIs) of MVPA, DVS, and social interaction sufficiency for incident disability were 0.68 (95% CI, 0.59-0.78), 0.87 (95% CI, 0.77-0.99), and 0.90 (95% CI, 0.79-1.03), respectively. Incident disability HRs gradually reduced with increased frequency of satisfying these behaviors (any one: HR 0.82; 95% CI, 0.65-1.03; any two: HR 0.65; 95% CI, 0.52-0.82; and all three behaviors: HR 0.54; 95% CI, 0.43-0.69), in an inverse dose-response manner (P < 0.001 for trend). Population-attributable fraction for disability reduction in satisfying any one, any two, and all three behaviors were 4.0% (95% CI, -0.2 to 7.9%), 9.6% (95% CI, 4.8-14.1%), and 16.0% (95% CI, 8.7-22.8%), respectively. CONCLUSION: Combining physical activity, dietary variety, and social interaction substantially enhances the impacts on preventing disability among older adults, with evidence of an inverse dose-response manner. Improving insufficient behavior elements through individual habits and preexisting social group activities may be effective in preventing disability in the community.

[Development and evaluation of a modified version of the dietary variety score for community-dwelling older adults].

Objectives　The dietary variety score (DVS) was developed as an index to assess the variety of food intake among older Japanese adults and has been widely used in epidemiological studies and public health settings. However, this index has not been reviewed since its development in the 1990s and may not adequately reflect the current dietary habits of the older Japanese population. In this study, we developed a modified version of the DVS (MDVS) and examined its validity.Methods　We conducted a cross-sectional study of 357 community-dwelling adults aged ≥65 years (mean age: 76.2±4.6, men: 61.1%) who participated in the 2016 survey of the Hatoyama cohort study. The DVS and MDVS were assessed by the number of food groups eaten almost every day based on the weekly frequency of consumption. The DVS was calculated based on ten components: meat, fish/shellfish, eggs, milk, soybean products, green/yellow vegetables, potatoes, fruits, seaweed, and fats/oils. The components of the MDVS were determined by calculating the contribution of each food group to the total and nutrient intakes from the food groups comprising the main dish, side dish, and soup, based on the data from older adults aged ≥65 years who participated in the 2017 National Health and Nutrition Survey in Japan. Based on the contribution of each food group, we added "other vegetables" and "dairy products" in the MDVS. Dietary intake was assessed using a validated, self-administered diet history questionnaire. We calculated the probability of adequacy for each of the fourteen nutrients selected as per the estimated average requirement in the Dietary Reference Intake for Japanese 2020 and the mean probability of adequacy for all fourteen nutrients. In addition, we assessed the correlation between the DVS, MDVS, and each indicator and the significance of the difference between correlation coefficients.Results　The MDVS was significantly positively correlated with the energy ratios of protein and fat, dietary fiber, potassium, and the modified diet score based on the Japanese Food Guide Spinning Top (r=0.21-0.45) and negatively correlated with the carbohydrate energy ratio (r=-0.32). The MDVS was also correlated with the mean probability of nutrient adequacy (r=0.41). The correlation coefficients between the MDVS and each indicator were not significantly different from those of the DVS.Conclusions　Validity in terms of nutrient intake and diet quality was comparable between the DVS and MDVS. To revise the DVS, it is necessary to conduct nationwide studies based on highly accurate dietary surveys.

Dose-response relationships of sarcopenia parameters with incident disability and mortality in older Japanese adults.

BACKGROUND: Sarcopenia-related parameters may have differential impacts on health-related outcomes in older adults. We examined dose-response relationships of body composition, muscle strength, and physical performance with incident disability and mortality. METHODS: This prospective study included 1765 Japanese residents (862 men; 903 women) aged ≥65 years who participated in health check-ups. Outcomes were incident disability and all-cause mortality. Fat mass index (FMI) and skeletal muscle mass index (SMI), determined using segmental multi-frequency bioelectrical impedance analysis, handgrip strength (HGS), and usual gait speed (UGS) were measured. We determined multivariate-adjusted hazard ratios (HRs) for disability and mortality relative to sex-specific reference values (FMI: medians; SMI: 7.0 kg/m2 for men and 5.7 kg/m2 for women; HGS: 28 kg for men and 18 kg for women; or UGS: 1.0 m/s for both sexes). Association shapes were examined using restricted cubic splines or fractional polynomial functions. RESULTS: The median follow-up was 5.3 years; 107 (12.7%) men and 123 (14.2%) women developed disability, and 101 (11.7%) men and 56 (6.2%) women died. FMI did not impact any outcome in men and disability in women, while an FMI ≤ 7.3 kg/m2 (median) was significantly associated with higher mortality risk in women, compared with median FMI. SMI did not impact disability in either sex and mortality in women, but showed a significant inverse dose-response relationship with mortality risk in men [HRs (95% confidence intervals) of minimum and maximum values compared with the reference value: 2.18 (1.07-4.46) and 0.43 (0.20-0.93), respectively], independent of HGS and UGS. HGS and UGS showed a significant inverse dose-response relationship with disability in both sexes [HGS: 1.71 (1.00-2.91) and 0.31 (0.09-0.99), respectively, in men, 2.42 (1.18-4.96) and 0.41 (0.20-0.85), respectively, in women; UGS: 2.14 (1.23-3.74) and 0.23 (0.08-0.67), respectively, in men, 3.26 (2.07-5.14) and 0.11 (0.05-0.26), respectively, in women] and mortality in women [HGS: 6.84 (2.84-16.47) and 0.06 (0.02-0.21), respectively; UGS: 2.67 (1.14-6.27) and 0.30 (0.11-0.85), respectively], independent of body composition, but did not impact mortality in men. CONCLUSIONS: Disability risk was more dependent on muscle strength and physical performance in both sexes. Mortality risk in men was more dependent on muscle mass, and mortality risk in women was influenced by lower fat mass along with muscle strength and physical performance. Although improving muscle strength and physical performance should be the first target for health promotion, it is also necessary to pay attention to body composition to extend life expectancy in older adults.

Identifying the specific associations between participation in social activities and healthy lifestyle behaviours in older adults.

OBJECTIVES: To examine the longitudinal association between participation in social activities and healthy lifestyle behaviours. STUDY DESIGN: This 2-year follow-up study used data from 6168 older adults (73.5 ± 5.3 years; 49% men). We studied participation in five types of social activities at baseline: participation in volunteer, sports, hobbies, senior clubs, and neighbourhood-association groups. MAIN OUTCOME MEASURES: The healthy lifestyle behaviours were physical activity (time spent walking: ≥150 min/week; or less), eating habits (dietary variety score: ≥4 points; or less), and intellectual activity (subcomponents of the Tokyo Metropolitan Institute of Gerontology Index of Competence: 4 points; or less). RESULTS: In the follow-up survey, 19% of participants were physically inactive, 53% had unfavourable eating habits, and 34% had diminished intellectual activity. Multilevel modified Poisson regression analysis showed that participation in sports groups was associated with a lower relative risk (RR) of physical inactivity (RR=0.82 [0.72, 0.93]) and unfavourable eating habits (RR=0.95 [0.90, 1.00]). Participation in hobby groups reduced the RR of unfavourable eating habits (RR=0.93 [0.90, 0.97]) and diminished intellectual activity (RR=0.90 [0.85, 0.96]). Participation in volunteering was associated with a lower RR of diminished intellectual activity (RR=0.84 [0.75, 0.95]). Relative to non-participation, participating in two or more social activities was associated with a 9% (95% CI: 0.83, 1.00) lower RR for physical inactivity, a 12% (95% CI: 0.82, 0.95) lower RR for unfavourable eating habits, and a 17% (95% CI: 0.77, 0.89) lower RR for diminished intellectual activity. CONCLUSIONS: Both the nature and the number of social activities determine the longitudinal effects of social participation on healthy lifestyle behaviours.

The effects of reciprocal support on mental health among intergenerational non-relatives-A comparison by age group.

PURPOSE: This study aimed to verify the direction of providing and receiving intergenerational support and examine its effects on mental health among intergenerational non-relatives. MATERIALS AND METHODS: In the initial survey (Time1), approximately 65,000 residents of Wako City in Saitama Prefecture, Japan, were considered, from which, a sample of 7,000 people was obtained. A total of 2,982 valid responses was received, and a follow-up survey was conducted two years later (Time2). RESULTS: Structural equation modeling with a cross-lagged effect model and a synchronous effect model showed that the direction of giving and receiving intergenerational support had changed with age; while the young and middle-aged groups shifted their direction from receiving support to giving support, the older adults shifted their direction from giving support to receiving support. Furthermore, in the young-adults group, receiving support from older adults positively influenced their mental health two years later. For the middle-aged group, giving support positively influenced their mental health at Time2. For the old-old group, receiving support from young and middle-aged people positively influenced the mental health at Time2. CONCLUSIONS: To facilitate intergenerational mutual help in the local community, it is necessary to create opportunities for older adults to provide support to young and middle-aged people and, in return, create a mechanism to prompt support from young and middle-aged people for older adults.

Development of risk prediction models for incident frailty and their performance evaluation.

There is currently no tool to predict incident frailty despite various frailty assessment tools. This study aimed to develop risk prediction models for incident frailty and evaluated their performance on discrimination, calibration, and internal validity. This 2-year follow-up study used data from 5076 non-frail older adults (51% women) living in Tokyo at baseline. We used the Kaigo-Yobo checklist, a standardised assessment instrument, to determine frailty. Twenty questionnaire-based variables that include sociodemographic, medical, behavioural, and subjective factors were entered into binary logistic regression analysis with stepwise backward elimination (p < 0.1 for retention in the model). Discrimination and calibration were assessed by area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow test, respectively. For the assessment of internal validity, we used a 5-fold cross-validation method and calculated the mean AUC. At the follow-up survey, 15.0% of men and 10.2% of women were frail. The frailty risk prediction model was composed of 10 variables for men and 11 for women. AUC of the model was 0.71 in men and 0.72 in women. The P-value for the Hosmer-Lemeshow test in both models was more than 0.05. For internal validity, the mean AUC was 0.71 in men and 0.72 in women. Probability of incident frailty rose with an increasing risk score that was calculated from the developed models. These results demonstrated that the developed models enable the identification of non-frail older adults at high risk of incident frailty, which could help to implement preventive approaches in community settings.

[A Case of Rheumatoid Arthritis Caused by Pembrolizumab Treatment for Non-Small Cell Lung Cancer].

A man in his 40s underwent a transbronchial lung biopsy and received a diagnosis of adenocarcinoma of the right upper lobe of the lung(cT4N0M0, Stage Ⅲ)with no EGFR gene mutation, no ALK fusion gene, no ROS1 fusion gene, and a tumor proportion score(TPS)of 50-74%. During the postoperative follow-up period, enlarged right supraclavicular lymph nodes and right upper and lower paratracheal lymph nodes were detected, diagnosed as recurrence by positron emission tomography-computed tomography. Although a positive rheumatoid factor test, as the patient had no symptoms of rheumatoid arthritis(RA), treatment with pembrolizumab was initiated. Before the second treatment course, a pharmacist conversing with the patient observed that the patient was experiencing pain in his fingers. After discussing the possibility of treatment continuation and test items with the attending physician, the patient underwent tests and received a diagnosis of RA.

Effectiveness of a community-wide intervention for population-level frailty and functional health in older adults: A 2-year cluster nonrandomized controlled trial.

This cluster nonrandomized controlled trial examined the effectiveness of a 2-year community-wide intervention (CWI) on population-level frailty and functional health among older adults. We allocated 18 districts in Ota City, Tokyo, Japan, to intervention (3 districts, A-C) and control (15 districts) groups. Of the 15,500 stratified randomly sampled residents aged 65-84 years, 11,701 (6009 in intervention and 5692 in control groups) gave valid responses to the baseline survey and were followed for 2 years. Using participatory action research framework, we developed an evidence-based CWI to promote frailty prevention. The outcomes were changes in frailty (primary), functional health (secondary, i.e., physical, nutritional, and psychosocial variables), and awareness. Primary analyses showed no significant group by time interactions in frailty prevalence (difference in multivariate-adjusted change between groups, 1.8 percentage points [PP] [95% CI, -0.1, 3.6]). Although changes in functional health were similar between groups, prespecified subgroup analyses showed a benefit for ≥150 min/week of walking (3.9 PP [1.9-5.8]) in district A, and for exercise ≥1 time/week (2.1 PP [0.1-4.0]), Motor Fitness Scale (0.10 points [0.01-0.20]), Dietary Variety Score (DVS) (0.10 points [0.01-0.18]), DVS of ≥7 (2.0 PP [0.01-4.1]), and going outdoors ≥1 time/day (2.1 PP [0.1-4.1]) in district C. Awareness of our CWI was significantly higher in the intervention group (multivariate-adjusted difference between groups, 5.8 PP [3.9-7.8]). This CWI increased awareness in intervention group and improved population-level functional health in intervention subgroups in the short term but was not effective for population-level frailty prevention at 2 years. Trial registration: UMIN-CTR (UMIN000026515).

The impact of mutual aid on mental health and perceived isolation among the single elderly: An examination of economic status.

AIM: This study aimed to identify patterns in mutual aid relationships between older people living alone and their relatives and neighbors, and to examine the impact of mutual aid relationship patterns on mental health and perceived isolation through the mediating effect of subjective economic status. METHODS: We conducted a survey with 5000 randomly selected adults aged 65 years or older, from the five official senior care service areas of city A in Saitama Prefecture, Japan. Valid responses were received from 3941 participants (78.8%), of whom 436 participants from single-person households constituted the study sample. RESULTS: Latent class analysis revealed four types of mutual aid: family; family and intra-generational neighbors; no mutual aid; and family and multi-generational neighbors. Regression analysis showed that the interaction effect between family and neighbors' mutual aid and subjective economic status was a significant predictor of depressive symptoms. Simple slope analysis clarified that subjective economic status had a negative effect on depressive symptoms for the non-family/neighbors group, but not for the family/neighbors group. Furthermore, the interaction term between no mutual aid and subjective economic status was negatively associated with the fear of future isolation. Finally, the significantly negative effect observed was greater for the no mutual aid group than for the non-no mutual aid group. CONCLUSIONS: Mutual aid relationships are effective in improving the mental health and decreasing the fear of future isolation of older adults living alone who experience low economic status. Geriatr Gerontol Int 2021; 21: 555-560.

[The effects of the "Tabepo Check Sheet," which lists 10 food groups, on the dietary variety of older adults in a metropolitan area].

Objectives　This study examined the effects of checking the "Tabepo Check Sheet," which has 10 food groups, on changes in dietary variety among older adults living in Japanese metropolitan areas.Methods　We used baseline and two-year follow-up data from a community-wide intervention to prevent frailty in Ota City, Tokyo. A total of 8,635 non-disabled residents (4,145 men and 4,490 women) aged 65-84 years who responded to the self-administered questionnaire surveys in 2016 and 2018, were included in the two analyses. In 2018, we asked about their experience with the "Tabepo Check Sheet," which had been distributed among participating communities from three districts in Ota City since July 2017. The "checked group" consists of those who answered "habitually check" or "have checked." Dietary variety was assessed using the Dietary Variety Score (DVS). We performed propensity score matching with a 1:1 ratio (checked group vs. non-checked group) for the following variables: demographic, socioeconomic, physical, medical, and lifestyle variables, and DVS. After propensity score matching, 876 participants from the checked and non-checked groups were selected. We used a two-way ANOVA to examine the changes in DVS over two years. We also compared the rates of DVS ≤3 and ≥7 points in 2018 using multivariate adjusted logistic regression analysis.Results　In 2018, 11.9% of the respondents had checked the "Tabepo Check Sheet." The DVS mean±standard deviation in the checked and non-checked groups were 3.9±2.2 points and 3.9±2.3 points in 2016, respectively, and 4.5±2.4 points and 4.1±2.4 points in 2018, respectively. The DVS showed a significant interaction between checking experience and time (p<0.001). The rates of DVS ≤3 points in 2018 were 35.2% and 43.8% among the checked and non-checked groups, respectively. The multivariate adjusted odds ratio (OR) of DVS ≤3 points was 0.68 (95% confidence interval [95% CI] 0.56-0.83) in the checked group versus the non-checked group. The rates of DVS ≥7 points in 2018 were 21.7% and 16.8% among the checked and non-checked groups, respectively. The multivariate adjusted OR (95% CI) of DVS ≥7 points was 1.40 (1.10-1.78) in the checked versus the non-checked group.Conclusions　These results suggest that checking the "Tabepo Check Sheet" may improve dietary variety. However, the effects of dietary variety improvement may be weakened by the incidence of skipped meals, social isolation, frailty, and lack of social participation.

Social Contact with Family and Non-Family Members Differentially Affects Physical Activity: A Parallel Latent Growth Curve Modeling Approach.

BACKGROUND: Social contact leads to an increased likelihood of engaging in physical activity (PA). However, the influence of social contact on PA would be different depending on the social contact source. This study aimed to identify the association of changes in social contact with family and non-family members with the change in PA using a parallel latent growth curve modeling. METHODS: Participants were randomly selected from among residents in the study area age ≥ 20 years (n = 7000). We conducted mail surveys in 2014, 2016, and 2019. The 1365 participants completed all surveys. PA was assessed with validated single-item physical activity measure. Social contact was assessed by summing frequencies of face-to-face and non-face-to-face contacts with family/relatives not living with the participant and friends/neighbors. Parallel latent growth curve modeling was used to assess the cross-sectional, prospective, and parallel associations of social contact with PA change. RESULTS: There was a positive cross-sectional association between contact with friends/neighbors and PA, whereas prospective and parallel associations between contact with family/relatives and PA. CONCLUSION: Contacting friends/neighbors did not predict the change in PA, and a high frequency of contact with family/relatives at baseline and increasing contact with family/relatives was associated with increased PA over 5-year.

[Trajectories of Dietary Variety Score among community-dwelling older Japanese and their related factors].

AIM: To categorize the age-related trajectories of dietary variety score (DVS) in the community-dwelling elderly and to examine the associated factors. METHODS: The study population included 1,195 people who underwent a medical checkup for the elderly in Kusatsu-town, Gunma Prefecture in 2012 to 2017. A multinomial logistic regression analysis was performed to examine the factors associated with the age-related trajectories of DVS. The dependent variables were sex, age, family structure, years of education, BMI, subjective chewing ability, TMIG-IC, GDS-15, MMSE, smoking, alcohol consumption, and history of hypertension, dyslipidemia, diabetes mellitus, and stroke. RESULTS: The adjusted odds ratio (95% confidence intervals) of the low trajectory group in comparison to the medium trajectory group were 2.69 (1.02-7.08) for subjective chewing ability (no chewing), 1.11 (1.06-1.17) for GDS-15, 1.76 (1.14-2.73) for current smoking, and 1.70 (1.19-2.43) for past smoking. In contrast, the adjusted odds ratio of the high trajectory group in comparison to the medium trajectory group were 0.61 (0.37-1.00) for men, 1.04 (1.01-1.07) for age, 0.58 (0.38-0.89) for subjective masticatory ability (difficult to chew), 0.88 (0.82-0.96) for GDS-15, and 0.55 (0.37-0.83) for a history of hypertension. CONCLUSIONS: The age-related trajectory patterns of DVS in the community-dwelling elderly can be categorized into three types. In order to maintain a high quality of food intake, it was shown that, in addition to subjective masticatory ability and mental health factors, such as depression, we should pay attention to the control of hypertension, which is a risk factor for lifestyle diseases, and lifestyle habits such as smoking.

Sarcopenia: prevalence, associated factors, and the risk of mortality and disability in Japanese older adults.

BACKGROUND: There is limited evidence on sarcopenia in Asian populations. This study aimed to clarify the prevalence, associated factors, and the magnitude of association with mortality and incident disability for sarcopenia and combinations of its components among Japanese community-dwelling older adults. METHODS: We conducted a 5.8 year prospective study of 1851 Japanese residents aged 65 years or older (50.5% women; mean age 72.0 ± 5.9) who participated in health check-ups. Sarcopenia was defined according to the Asian Working Group for Sarcopenia 2019 algorithm. Appendicular lean mass index (ALMI) was measured using direct segmental multi-frequency bioelectrical impedance analysis. A Cox proportional hazards regression model was used to identify associations of sarcopenia and the combinations of its components with all-cause mortality and incident disability. RESULTS: The prevalence of sarcopenia was 11.5% (105/917) in men and 16.7% (156/934) in women. Significant sarcopenia-related factors other than ageing were hypoalbuminaemia, cognitive impairment, low activity, and recent hospitalization (all P-values <0.05) among men and cognitive impairment (P = 0.004) and depressed mood (P < 0.001) among women. Individuals with sarcopenia had higher risks of mortality [hazard ratios (95% confidence interval): 2.0 (1.2-3.5) in men and 2.3 (1.1-4.9) in women] and incident disability [1.6 (1.0-2.7) in men and 1.7 (1.1-2.7) in women]. Compared with the individuals without any sarcopenia components, those having low grip strength and/or slow gait speed without low ALMI tended to have an increased risk of disability [1.4 (1.0-2.0), P = 0.087], but not mortality [1.3 (0.8-2.2)]. We did not find increased risks of these outcomes in participants having low ALMI in the absence of low grip strength and slow gait speed [1.2 (0.8-1.9) for mortality and 0.9 (0.6-1.3) for incident disability]. CONCLUSIONS: Japanese older men and women meeting Asian criteria of sarcopenia had increased risks of all-cause mortality and disability. There were no significant increased risks of death or incident disability for both participants with muscle weakness and/or low performance without low muscle mass and those with low muscle mass with neither muscle weakness nor low performance. Further studies are needed to examine the interaction between muscle loss, muscle weakness, and low performance for adverse health-related outcomes.

Influence of co-existing social isolation and homebound status on medical care utilization and expenditure among older adults in Japan.

OBJECTIVE: To examine whether co-existing social isolation and homebound status influence medical care utilization and expenditure in older adults. METHODS: Postal surveys on social isolation and homebound status were performed on older adults aged ≥65 years residing in a Japanese suburban city. Information on medical care utilization and expenditure was obtained from insurance claims data. These outcomes were examined over a three-year period (December 2008 to November 2011) for all participants (Analysis I, n = 1386) and during the last year of life for mortality cases (Analysis II, n = 107). A two-part model was used to analyze the influence of social isolation and homebound status on medical care utilization (first model: logistic regression model) and its related expenditure (second model: generalized linear model). RESULTS: Almost 12 % of participants were both socially isolated and homebound. Analysis I showed that these participants were significantly less likely to use outpatient and home medical care than participants with neither characteristic (odds ratio: 0.536, 95 % confidence interval: 0.303-0.948). However, Analysis II showed that participants with both characteristics had significantly higher daily outpatient and home medical expenditure in the year before death than participants with neither characteristic (risk ratio: 2.155, 95 % confidence interval: 1.338-3.470). DISCUSSION: Older adults who are both socially isolated and homebound are less likely to regularly utilize medical care, which may eventually lead to serious health problems that require more intensive treatment. Measures are needed to encourage the appropriate use of medical care in these individuals to effectively manage any existing conditions.

[Effects of a multifactorial intervention for improving frailty on risk of long-term care insurance certification, death, and long-term care cost among community-dwelling older adults: A quasi-experimental study using propensity score matching].

Objectives　To examine the effects of a multifactorial intervention for improving frailty-comprising resistance exercise and nutritional and psychosocial programs-on the risk of long-term care insurance (LTCI) certification, death, and long-term care (LTC) cost among community-dwelling older adults.Methods　Seventy-seven individuals (47 in 2011 and 30 in 2013) from the Hatoyama Cohort Study (742 individuals) participated in a multifactorial intervention. Non-participants were from the same cohort (including people who were invited to participate in the multifactorial intervention but declined). We performed propensity score matching with a ratio of 1 : 2 (intervention group vs. non-participant group). Afterward, 70 individuals undergoing the multifactorial intervention and 140 non-participants were selected. The risk of LTCI certification and/or death and the mean LTC cost during the follow-up period (32 months) were compared using the Cox proportional hazards model and generalized linear model (gamma regression model).Results　The incidence of new LTCI certification (per 1,000 person-years) tended to be lower in the intervention group than in the non-participant group (1.8 vs. 3.6), but this was not statistically significant as per the Cox proportional hazards model (hazard ratio=0.51, 95% confidence interval [CI]=0.17-1.54). Although the incidence of LTC cost was not significant, the mean cumulative LTC cost during the 32 months and the mean LTC cost per unit during the follow-up period (1 month) were 375,308 JPY and 11,906 JPY/month, respectively, in the intervention group and 1,040,727 JPY and 33,460 JPY/month, respectively, in the non-participant group. Cost tended to be lower in the intervention group than in the non-participant group as per the gamma regression model (cumulative LTC cost: cost ratio=0.36, 95%CI=0.11-1.21, P=0.099; LTC cost per unit follow-up period: cost ratio=0.36, 95%CI=0.11-1.12, P=0.076).Conclusions　These results suggest that a multifactorial intervention comprising resistance exercise, nutritional, and psychosocial programs is effective in lowering the incidence of LTCI certification, consequently saving LTC cost, although the results were not statistically significant. Further research with a stricter study design is needed.

Frailty Status and Transport Disadvantage: Comparison of Older Adults' Travel Behaviours between Metropolitan, Suburban, and Rural Areas of Japan.

This study examined differences in older adults' travel behaviours by frailty status in metropolitan, suburban, and rural areas of Japan. Data were collected from 9104 older adults (73.5 ± 5.7 years; 51% women; 19% frail) living in metropolitan (n = 5032), suburban (n = 2853), and rural areas (n = 1219) of Japan. Participants reported if they walked, cycled, drove a car, rode a car as a passenger, and used public transportation (PT) once per week or more. A standardised questionnaire was used to assess frailty status. We conducted logistic regression analysis to calculate the odds ratios of using each travel mode by frailty status stratified by locality. Relative to non-frail participants, frail participants were less likely to walk and drive a car in all three areas. Frail participants had significantly higher odds of being a car passenger in the suburban (OR = 1.73 (95% CI: 1.32, 2.25)) and rural areas (OR = 1.61 (1.10, 2.35)) but not in the metropolitan area (OR = 1.08 (0.87, 1.33)). This study found that frail older adults living in suburban and rural areas tended to rely more on cars driven by someone else, suggesting that transport disadvantage is more pronounced in suburban and rural areas than in metropolitan areas.

[Awareness of the term "frailty" and its correlates among older adults living in a metropolitan area].

Objectives　This study aimed to examine the awareness of the term "frailty" and its correlates among older adults living in a Japanese metropolitan area.Methods　We used baseline and 2-year follow-up data from a community-wide intervention on preventing frailty in Ota City, Tokyo. In July 2016, we conducted a self-administered questionnaire survey via mail to investigate the lifestyle and health status of 15,500 non-disabled residents aged 65-84 years from all 18 districts. In July 2018, we investigated the awareness of the term "frailty" in the same sample using a different questionnaire, and 10,228 people (4,977 men and 5,251 women) were included in the analyses. In addition, 9,069 people (4,347 men and 4,722 women) who responded to both 2016 and 2018 surveys were analyzed for correlates of awareness of the term "frailty." We categorized the responses "I know the meaning" or "I have heard of it but do not know the meaning" as awareness of the term. Decision tree and multilevel Poisson regression analyses were performed to examine the association of the following with awareness of "frailty": age, marital status, living situation, education, equivalent income, body mass index, number of chronic diseases, alcohol consumption, smoking status, Dietary Variety Score (DVS), and presence or absence of lower back and knee pains, depressive mood, exercise habits, social activity, social isolation, and frailty.Results　Awareness of the term "frailty" was estimated as 20.1% in total (15.5% in men and 24.3% in women). The subgroup with the highest "frailty" awareness was women who exercised, were socially active, and had a DVS of 4 or more (awareness of 36.3%). Significant independent correlates of "frailty" awareness were age (as per year: multivariate-adjusted prevalence ratio=1.03, [95% confidence interval=1.02-1.04]), sex (women: 1.35 [1.21-1.51]), educational attainment (high school: 1.27 [1.11-1.45], higher than junior college/vocational schools: 1.47 [1.28-1.70]), equivalent income (more than 2.5 million yen/year: 1.12 [1.01-1.25]), exercise habits (presence: 1.26 [1.11-1.43]), DVS (6 points or more: 1.37 [1.21-1.55]), social activity (presence: 1.33 [1.20-1.49]), social isolation (presence: 0.75 [0.67-0.85]), and frailty (presence: 0.72 [0.62-0.84]).Conclusions　Although many policies refer to "frailty," the level of awareness of the term among older adults was low. Older adults, especially women, who had higher socioeconomic status, better exercise and dietary habits, and stronger social connections, were significantly more aware of the term. In contrast, individuals who were socially isolated and/or frail did not know the term. Thus, it is crucial to develop specific measures to promote frailty prevention among high-risk individuals.