[Construct validity in structural perspectives of the Questionnaire for medical checkup of old-old among community-dwelling older adults: A pilot study of a countermeasure against COVID-19].

AIM: This study aimed to clarify the construct validity of the Questionnaire for medical checkup of old-old (QMCOO). METHODS: In this cross-sectional study, questionnaires including the QMCOO were distributed to 1,953 older adults, and responses were returned by mail. We conducted an exploratory factor analysis (EFA) for the QMCOO among older participants (age ≥75 years) and extracted the relevant factors. Next, we structured the model for the QMCOO based on these factors and conducted a confirmatory factor analysis (CFA) using structural equation modeling. We conducted a CFA among young-older participants (age 65 to <75 years) for the same model. RESULTS: Of the 1,110 (53.5%) adults who responded, data from the 994 respondents who provided complete answers were analyzed. Five factors were extracted from the results of the EFA: physical and mental condition, relationship with society, eating and smoking, chance for exercise, and cognitive function. The results of the CFA were as follows: comparative fit index (CFI) = 0.899, adjusted goodness of fit index (AGFI) = 0.965, root mean square error of approximation (RMSEA) = 0.034, and standardized root mean square residual (SRMR) = 0.040. Meanwhile, the results for young-older participants were as follows: CFI = 0.886, AGFI = 0.942, RMSEA = 0.035, and SRMR = 0.048. CONCLUSIONS: The QMCOO assessed health condition and was composed of multiple factors associated with frailty. The CFA results indicated that the model fit was good. The QMCOO showed sufficient structural validity. Therefore, the construct validity of the QMCOO was shown.

[An investigation to discriminate frailty based on the Questionnaire for medical checkup of old-old: A pilot study using the item response theory].

AIM: This study aimed to investigate a method for scoring the questionnaire for medical checkup of old-old (QMCOO) and to clarify a cut-off score for the discrimination of frailty. METHODS: Survey forms were distributed to 2,586 older adults. For old-old adults, the item characteristics of the QMCOO were indicated using the item response theory (IRT). A receiver operating characteristic (ROC) analysis was performed using the total score of the fitting model of QMCOO for suggesting a cut-off score to discriminate frailty. The cross-validity of the cut-off score was verified among young-old adults. RESULTS: Among 1,680 adults who responded, data from 975 old-old and 421 young-old adults were analyzed. The method for scoring zero or one on each item in QMCOO conformed to the IRT model. The item discrimination and difficulty met the criteria. An ROC analysis showed that the area under the curve (AUC) and cut-off score for the discrimination of frailty were 0.871 and 4 points (sensitivity = 0.811, specificity = 0.766, positive likelihood ratio [LR+] = 3.469, and negative likelihood ratio [LR-] = 0.247), respectively. For young-old adults, the AUC and cut-off score were 0.874 and 4 points (sensitivity = 0.741, specificity = 0.817, LR+= 4.053, and LR- = 0.317), respectively. CONCLUSIONS: The method for scoring zero or one on each item of the QMCOO was valid. A cut-off score of 4 for the discrimination of frailty demonstrated the interpretability of the QMCOO, while the usefulness of the QMCOO in young-old adults demonstrated cross-validity.

Questionnaire for Medical Checkup of Old-Old is non-inferior to the Kihon Checklist in screening frailty among independent older adults aged 75 years and older: The Itabashi Longitudinal Study on Aging.

AIM: The Questionnaire for Medical Checkup of Old-Old (QMCOO) is a 15-item dichotomous questionnaire developed for the early detection and intervention of frailty in a nationwide health checkup program targeting the old-old (i.e. aged ≥75 years). The Kihon Checklist (KCL) is a 25-item questionnaire widely used for screening and self-monitoring frailty status in administrative settings. With fewer items than the KCL, the QMCOO might expedite the frailty screening process. This study tested whether the QMCOO shows noninferiority in detecting frailty compared with the KCL. METHODS: Overall, 645 participants aged ≥75 years in the Itabashi Longitudinal Study on Aging were assessed for their frailty status according to the revised Japanese version of the Cardiovascular Health Study criteria. They also completed the QMCOO and the KCL simultaneously. We compared the discriminative performance of the two questionnaires using non-inferiority testing with an operationally defined non-inferiority margin of 10% of the area under the receiver operating characteristic curve computed from the KCL. RESULTS: The prevalence of frailty was 8.8%. The area under the receiver operating characteristic curve for the QMCOO in determining frailty was 0.76 (95% CI 0.70, 0.82), and the corresponding area under the receiver operating characteristic curve for the KCL was 0.77 (95% CI 0.69, 0.84). The QMCOO was not inferior to the KCL for frailty discrimination (P for non-inferiority = 0.006). CONCLUSIONS: The accuracy of the QMCOO for determining frailty was not inferior to that of the KCL. The QMCOO might be more acceptable and useful, as it can be applied in a shorter time with fewer questions than the KCL. Geriatr Gerontol Int 2024; 24: 176-181.

Fall Risk Prediction for Community-Dwelling Older Adults: Analysis of Assessment Scale and Evaluation Items without Actual Measurement.

The frequency of falls increases with age. In Japan, the population is aging rapidly, and fall prevention measures are an urgent issue. However, assessing fall risk during the coronavirus disease pandemic was complicated by the social distancing measures implemented to prevent the disease, while traditional assessments that involve actual measurements are complicated. This prospective cohort study predicted the risk of falls in community-dwelling older adults using an assessment method that does not require actual measurements. A survey was conducted among 434 community-dwelling older adults to obtain data regarding baseline attributes (age, sex, living with family, use of long-term care insurance, and multimorbidity), Frailty Screening Index (FSI) score, and Questionnaire for Medical Checkup of Old-Old (QMCOO) score. The participants were categorized into fall (n = 78) and non-fall (n = 356) groups. The binomial logistic regression analysis showed that it is better to focus on the QMCOO sub-item score, which focuses on multiple factors. The items significantly associated with falls were Q5 (odds ratio [OR] 1.95), Q8 (OR 2.33), and Q10 (OR 3.68). Our results were similar to common risk factors for falls in normal times. During the pandemic, being able to gauge the risk factors for falls without actually measuring them was important.

Predictive validity of the Questionnaire for Medical Checkup of Old-Old for all-cause mortality and disability incidence.

AIM: The Questionnaire for Medical Checkup of Old-Old (QMCOO) has been used nationwide in Japan as part of the health checkup for latter-stage older adults since the financial year 2020. Although the QMCOO is useful in screening for frailty, its cutoff values for predicting adverse health outcomes have rarely been assessed. Therefore, this study aimed to calculate the cutoff values for predicting all-cause mortality and disability incidence and to evaluate their predictive validity. METHODS: This study included 3837 health checkup recipients aged ≥75 years residing in Higashiura Town, Aichi Prefecture, Japan. The health checkup was conducted from June 1, 2020, to January 31, 2021. Mortality and disability incidence were analyzed separately. For the latter, participants with a disability history were excluded, leaving 3040 available for analysis. RESULTS: During the follow-up of 11 191 and 8550 person-years, 276 died and 438 developed a disability, respectively. The areas under the receiver operating characteristic curve (95% confidence intervals) for all-cause mortality and disability incidence were 0.68 (0.65-0.71) and 0.66 (0.63-0.68), respectively, with QMCOO cutoff values at 3/4 and 2/3 points. Cox proportional hazard models adjusted for age, sex, body mass index, self-reported diseases, and frequency of alcohol consumption demonstrated the predictive validity of those cutoff values. CONCLUSIONS: The optimal cutoff value of the QMCOO for predicting all-cause mortality was 3/4, while the optimal cutoff value for predicting disability incidence was 2/3 among an older Japanese population. Geriatr Gerontol Int 2024; ••: ••-••.

Association between Motoric Cognitive Risk Syndrome and Indicators of Reflecting Independent Living among Community-Dwelling Older Adults in Japan: A Cross-Sectional Study.

The purpose of this study was to examine whether motoric cognitive risk syndrome (MCR) is associated with various indicators of independent living among community-dwelling older adults in Japan. The study design was a cross-sectional study, and the participants were 107 community-dwelling older adults (mean age 79 ± 7 years) who were living independently. The participants were administered the Questionnaire for Medical Checkup of Old-Old (QMCOO) as an indicator of health status and the Japan Science and Technology Agency Index of Competence (JST-IC) as an indicator of higher levels of functioning capacity, among others. In addition, we assessed physical frailty (J-CHS), sarcopenia (AWGS2019), and MCR (slow gait + subjective memory complaints), which are predictors of adverse events in the elderly. Multiple regression analysis with QMCOO as the response variable showed that MCR (p = 0.01, ß: 0.25) and physical frailty (p < 0.01, ß: 0.43) were significantly associated. In addition, analysis with JST-IC as the response variable showed that MCR (p = 0.03, ß: -0.20), physical frailty (p = 0.01, ß: -0.24) and age (p = 0.02, ß: -0.21) were significantly associated. In conclusion, MCR was found to be similarly associated with QMCOO and JST-IC as physical frailty. It is expected that the MCR will be used as an initial screening tool to identify signs of risk in community-dwelling older people, as it is easy to diagnose.

Predictive validity of the Questionnaire for Medical Checkup of Old-Old for functional disability: Using the National Health Insurance Database System.

AIM: To enhance health services that can address multifaceted issues, the Questionnaire for Medical Checkup of Old-Old (QMCOO) was strategically developed to ascertain frailty status. Using the National Health Insurance database system, we aimed to clarify whether the QMCOO can predict new certifications for long-term care for disabilities. METHOD: Of 20 151 adults aged ≥75 years who underwent health checkups in Kashiwa City, Japan, in fiscal year 2020 (examination rate 36.8%), 18 130 persons were included (mean age 80.1 ± 4.1 years, 55.1% women). The outcome was the new certification of long-term care until January 2022. From the medical care receipt data, QMCOO, age, sex, living arrangement, body mass index, comorbidity, and musculoskeletal and connective tissue diseases were evaluated. RESULT: During the follow-up period, 727 (4.0%) participants had an incident disability (median follow up 457 days [quartile range 408-519 days]). The QMCOO's predictive accuracy for new long-term care needs was optimal when the total score of 3/4 was used as the threshold. Older adults with scores ≥4 had a higher adjusted hazard ratio for incident disability (adjusted hazard ratio 2.5, 95% confidence interval 2.1-2.9). Furthermore, the adjusted hazard ratio was greatly enhanced with comorbidity (6.6, 95% confidence interval 4.8-8.9). CONCLUSION: The QMCOO, which reflects multifaceted frailty, might be predictive of incident disability, and its predictive accuracy could be improved by considering comorbidities. The comprehensive QMCOO could contribute to extending healthy life expectancy through efficiently assessing health care and preventing long-term care, even among the old-old in the latter stage who tended to suffer from multimorbidity. Geriatr Gerontol Int 2023; 23: 124-130.