RESUMO
Objective:To observe any effect of virtual reality (VR) training on the cognitive functioning and functional fitness of nursing home residents with subjective cognitive decline (SCD).Methods:Fifty-six of such residents were randomly divided into an observation group and a control group, each of 28. Both groups received health education and routine care, but the observation group was additionally provided with 45 minutes of VR training three times a week for 6 months. The training included Baduanjin, magic, flying bird, supermarket shopping, gravity ball and gym episodes. Both groups′ cognition was evaluated using the subjective cognitive decline questionnaire (SCD-Q), the Montreal cognitive assessment (MoCA), the Rivermead Behavioural Memory Test (second edition) (RBMT-Ⅱ), a digit symbol substitution test (DSST), an animal fluency test (AFT) and trail-making test A-B (TMT A-B). Functional fitness was quantified using the 8-foot up-and-go test (8UGT), a 30-second arm curl test (30sACT), a 30-second chair stand test (30sCST), a back scratching test (BST), the sit-and-reach test (CSRT) and a 2-minute step test (2MST) before and after the 6-month intervention.Results:After the intervention, the average SCD-Q, MoCA, RBMT-Ⅱ, DSST, TMT-A, and TMT-B scores of the observation group were significantly better than before the intervention, and significantly better than the control group′s averages. And except for the back scratching their functional results were also significantly better, on average, than those of the control group.Conclusions:VR training can effectively improve the cognition and functional fitness of nur-sing home residents with SCD. Such training is worthy of promotion and wider application in nursing homes.
RESUMO
BACKGROUND: Analyzing real-world data, including health insurance claims, may help provide insights into preventing and treating various diseases. We developed a database covering Shizuoka Prefecture (Shizuoka Kokuho Database [SKDB]) in Japan, which included individual-level linked data on health- and care-insurance claims and health checkup results. METHODS: Anonymized claims data on health insurance (National Health Insurance [age <75 years] and Latter-Stage Elderly Medical Care System [age ≥75 years]), care insurance, subscriber lists, annual health checkups, and all dates of death were collected from 35 municipalities in Shizuoka Prefecture. To efficiently link claims and health checkups, unique individual IDs were assigned using a novel procedure. RESULTS: From April 2012 to September 2018, the SKDB included 2,230,848 individuals (men, 1,019,687; 45.7%). The median age (min-max) of men and women was 60 (0-106) and 62 (0-111) years, respectively. During the study period, the median subscription time was 4.4 years; 40.8% of individuals continuously subscribed for the 6.5 years; 213,566 individuals died. Health checkup data were available for 654,035 individuals, amounting to 2,469,648 records. Care-service recipient data were available for 283,537 individuals; they used care insurance to pay for care costs. CONCLUSION: SKDB, a population-based longitudinal cohort, provides a comprehensive dataset covering health checkups, disorders, medication, and care service. This database may provide a robust platform to identify epidemiological problems and generate hypotheses for preventing and treating disorders in the elderly.
