Projecting prevalence of frailty and dementia and the economic cost of care in Japan from 2016 to 2043: a microsimulation modelling study

Physical frailty, genetic predisposition, and incident dementia: a large prospective cohort study

Physical frailty and genetic factors are both risk factors for increased dementia; nevertheless, the joint effect remains unclear. This study aimed to investigated the long-term relationship between physical frailty, genetic risk, and dementia incidence. A total of 274,194 participants from the UK Biobank were included. We applied Cox proportional hazards regression models to estimate the association between physical frailty and genetic and dementia risks. Among the participants (146,574 females [53.45%]; mean age, 57.24 years), 3,353 (1.22%) new-onset dementia events were recorded. Compared to non-frailty, the hazard ratio (HR) for dementia incidence in prefrailty and frailty was 1.396 (95% confidence interval [CI], 1.294-1.506, P < 0.001) and 2.304 (95% CI, 2.030-2.616, P < 0.001), respectively. Compared to non-frailty and low polygenic risk score (PRS), the HR for dementia risk was 3.908 (95% CI, 3.051-5.006, P < 0.001) for frailty and high PRS. Furthermore, among the participants, slow walking speed (HR, 1.817; 95% CI, 1.640-2.014, P < 0.001), low physical activity (HR, 1.719; 95% CI, 1.545-1.912, P < 0.001), exhaustion (HR, 1.670; 95% CI, 1.502-1.856, P < 0.001), low grip strength (HR, 1.606; 95% CI, 1.479-1.744, P < 0.001), and weight loss (HR, 1.464; 95% CI, 1.328-1.615, P < 0.001) were independently associated with dementia risk compared to non-frailty. Particularly, precise modulation for different dementia genetic risk populations can also be identified due to differences in dementia risk resulting from the constitutive pattern of frailty in different genetic risk populations. In conclusion, both physical frailty and high genetic risk are significantly associated with higher dementia risk. Early intervention to modify frailty is beneficial for achieving primary and precise prevention of dementia, especially in those at high genetic risk.

Dementia among Minority Populations: A Scoping Review of Meaning, Language, and Translation

BACKGROUND

Dementia as a neurocognitive disorder is becoming increasingly common worldwide, and minority groups are more vulnerable than the general population. Many factors may contribute to their vulnerability such as misconceptions, language barriers, cultural factors, invalid assessment tools, lack of knowledge, or assigning spiritual beliefs to dementia symptoms. Therefore, this scoping literature review aimed to clarify how empirical studies reflect the meaning of dementia, language, and translation among minority ethnic groups.

SUMMARY

The PRISMA extension for the scoping review protocol was used. Thirty-eight studies published in English were reviewed and analysed. The findings revealed that lack of knowledge about dementia and attributing the disease to the normal ageing process were frequent among minority groups. Furthermore, their cultural-specific perspectives and worldviews of wellness and well-being can impact the way dementia is perceived, consequent help-seeking behaviours, or caregiving. Facilitating educational programs to enhance the knowledge and experiences of ethnic communities might be beneficial. Moreover, language is shown to be an important aspect in dementia assessment and participants' educational level could significantly impact their functional capacity when responding to cognitive measures. Even though there are some useful screening tests, diagnosis barriers might be eased by assessment tool development, modifications, and accurate translations for ethnic communities.

KEY MESSAGES

A promising pathway to support ethnically diverse communities regarding dementia can be raising awareness, providing ethnic-specific services, developing cultural-specific tools to assess dementia or any cognitive impairment by considering perceptions, language, and culture among ethnic groups. Cultural and spiritual considerations could also encourage engagement during assessment.

Medical care priorities of community-dwelling older adults according to three dimensions of quality of life: Quality of daily living, satisfaction and happiness from birth to death, and human vitality

AIM

Although the maintenance and improvement of quality of life (QoL) through holistic care are important in geriatric medical care, care priorities might differ depending on three essential aspects of QoL: the quality of daily living, satisfaction and happiness from birth to death, and human vitality, which are "Seikatsu," "Jinsei," "Seimei" in Japanese, respectively. We aimed to clarify these priorities in terms of medical care and examined how the definitions of QoL affected these priorities' rankings.

METHODS

This cross-sectional study involved community-dwelling older adults aged ≥65 years living in Kashiwa City, Chiba Prefecture, Japan. The number of participants was 1550 (mean age, 76.1 ± 5.8 years; 699 women [45.1%]). A self-administered questionnaire distributed in advance was used to rank 12 items sought in medical care. Participants were randomly assigned to one of three groups and sent the corresponding questionnaire, which differed only in the definition of QoL.

RESULTS

The top priorities for medical care were "effective treatment of illness," "improvement of physical function," and "maintaining a high level of activity." When QoL was defined as "the quality of daily living, satisfaction and happiness from birth to death, and human vitality," participants were significantly more likely to rank QoL improvement as one of the top three items (adjusted odds ratio, 1.46; 95% confidence interval, 1.03-2.05).

CONCLUSIONS

As a medical care priority, older adults desire improvement of multidimensional elements of life, including human vitality. Health care providers should consider this when making medical care decisions. Geriatr Gerontol Int 2024; 24: 493-498.

The Effect of Antihypertensive Therapy on Skeletal Muscle Mass and Bone Mineral Density in Patients With End-Stage Kidney Disease

OBJECTIVE

Sarcopenia and osteoporosis substantially influence health and lifespan. However, the variables affecting skeletal muscle mass (SMM) or bone mineral density (BMD) remain unknown.

DESIGN AND METHODS

From August 1, 2018 to July 31, 2019, we conducted a single-center, observational cohort study with 291 Japanese adult patients on maintenance hemodialysis due to end-stage kidney disease, who had their femoral neck BMD measured using dual-energy X-ray absorptiometry. After 1-year follow-up, we measured annual changes of BMD (ΔBMD) and SMM (ΔSMM), which were calculated through a modified creatinine index (mg/kg/day) using age, sex, serum creatinine, and single-pooled Kt/V for urea. The factors associated with ΔSMM/ΔBMD or progressive loss of SMM/BMD, defined as ΔSMM/ΔBMD < 0 per year, respectively, were analyzed with multivariable, linear regression or logistic regression models.

RESULTS

The median age of the patients was 66 years and 33% were female. Dialysis vintage and β-blocker-use were inversely correlated to ΔSMM. In comparison to nonusers, β-blockers users had 2.5-fold higher SMM loss odd ratios [95% confidence interval, 1.3-4.8]. The risk for SMM loss caused by β-blockers was not increased in users of renin-angiotensin system inhibitors. The ΔBMD was negatively correlated to the usage of calcium channel blockers. The risk of developing osteosarcopenia, which was defined as annual loss of both SMM and BMD, increased in calcium channel blockers users.

CONCLUSIONS

The use of β-blockers is associated with an elevated risk of developing sarcopenia, whereas renin-angiotensin system inhibitors may minimize this effect in patients with end-stage kidney disease. Use of calcium channel blocker therapy was associated with a faster decline of BMD.

Association of coexistence of frailty and depressive symptoms with mortality in community-dwelling older adults: Kashiwa Cohort Study

OBJECTIVES

This study aimed to determine the longitudinal associations of the coexistence of frailty and depressive symptoms with mortality among older adults.

METHODS

The study participants were community-dwelling older adults aged ≥65 years who participated in the baseline survey of the Kashiwa Cohort Study in Japan in 2012. We used Fried's frailty phenotype criteria to classify participants as non-frail (score = 0), pre-frail (1 or 2), or frail (≥3). Depressive symptoms were assessed using the GDS-15 (≥6 points). Cox proportional hazards models were used to evaluate the association of co-occurring frailty and depressive symptoms with all-cause mortality, after adjusting for sociodemographic and clinical characteristics.

RESULTS

The study included 1920 participants, including 810 non-frail, 921 pre-frail, and 189 frail older adults, of which 9.0 %, 15.7 %, and 36.0 %, respectively, had depressive symptoms. Ninety-one (4.7 %) participants died during the average follow-up period of 4.8 years. Compared with non-frail participants without depressive symptoms, frail participants had greater adjusted hazard ratios for mortality: 2.47 (95 % CI, 1.16 to 5.25) for frail participants without depressive symptoms and 4.34 (95 % CI, 1.95 to 9.65) for frail participants with depressive symptoms. However, no statistically significant associations were observed in non-frail or pre-frail participants irrespective of depressive symptoms.

CONCLUSION

Frail older adults with depressive symptoms have a substantially greater risk of mortality. Screening for depressive symptoms and frailty in older adults should be incorporated into health checkups and clinical practice to identify high-risk populations.

Combined impact of physical frailty and social isolation on use of long-term care insurance in Japan: A longitudinal observational study

OBJECTIVES

The combined effect of physical frailty and social isolation on the need to make use of long-term care insurance (LTCI) among older adults remains unknown. Thus this study investigates the association between physical frailty, social isolation, and the use of LTCI among older adults in Japan.

STUDY DESIGN

This is a prospective observational study.

MAIN OUTCOME MEASURES

Physical frailty is defined as limitations in strength, mobility, and physical activity, as well as exhaustion and weight loss. People with one or two indicators were categorized as pre-frail. Participants with a score of 1 point or more on the social isolation scale were defined as being socially isolated. Participants were followed up monthly for two years to check whether incident certification of care had been required.

RESULTS

Data on 4576 community-dwelling independent older adults (mean age, 73.9 ± 5.5 years, 2032 men, 2544 women) were analyzed. A time-dependent Cox proportional hazards regression model showed that individuals with pre-frailty without social isolation (hazard ratio [HR] 2.02, 95 % confidence interval [CI] 1.40-2.91), pre-frailty with social isolation (HR 2.36, 95 % CI 1.62-3.43), frailty without social isolation (HR 2.98, 95 % CI 1.83-4.85), and frailty with social isolation (HR 3.19, 95 % CI 2.07-4.91) had significantly higher risks of needing to make use of LTCI than those with no frailty and without social isolation. This higher risk was non-significant among individuals with no frailty and social isolation (HR 1.28, 95 % CI 0.78-2.10).

CONCLUSION

Combined frailty and social isolation among older adults should be addressed to prevent adverse health outcomes, including use of LTCI.

Burden and Depression among Empirically-Derived Subgroups of Family Caregivers for Individuals With Dementia

Dementia caregiving experiences are not universal and different factors may influence the risk for burden and depression. This study examined factors such as the relationship with the care recipient, severity of dementia, and relationship satisfaction to uncover different types of caregiver burden profiles using baseline assessment for a telephone-based intervention study for dementia caregivers. Participants (n = 233) completed a battery of psychological and caregiving related surveys. The sample was predominantly White and female. Latent class analysis suggested four class models in subsamples of spousal caregivers and adult children caregivers. The results suggested four distinct classes among samples of spousal and adult child caregivers. Differences in burden emerged across both spouses and adult children, and differences in depression also emerged in the spousal sample. Our findings demonstrate the diversity of the caregiving experience and suggest that future psychosocial interventions may benefit from being tailored to the needs of caregiver subgroups.

A policy overview of Japan's progress on dementia care in a super-aged society and future challenges

Dementia is highly prevalent in Japan, a super-aged society where almost a third of the population is above 65 years old. Japan has been implementing ageing and dementia policies since 2000 and now has a wealth of experience to share with other nations who are anticipating a similar future regarding dementia. This article focuses on the 2019 National Framework for Promotion of Dementia Policies that, based on its philosophy of Inclusion and Risk Reduction, lays out five complementary strategies. Together, these five strategies encourage a whole of society approach in dementia care. We first elaborate on the activities being undertaken under each of these strategies and then discuss the future challenges that Japan needs to address. These policy and social innovations spearheaded by Japan can be useful information for other countries that are anticipating similar future as Japan.

Frailty modifies the association of body mass index with mortality among older adults: Kyoto-Kameoka study

BACKGROUND & AIMS

The differences in the association of body mass index (BMI) with mortality between older adults with and without frailty remain unclear. This study investigated this association in community-dwelling older adults with and without frailty.

METHODS

This prospective study included 10,912 adults aged ≥65 years who provided valid responses to a baseline mail survey questionnaire in the Kyoto-Kameoka Study in Japan. The BMI was calculated based on self-reported height and body weight and classified into four categories: <18.5, 18.5-21.4, 21.5-24.9, and ≥25.0 kg/m2. Frailty was evaluated using the validated Kihon Checklist and defined as a score of 7 or higher out of a possible 25 points. Mortality data were collected from 30 July 2011 to 30 November 2016. Hazard ratios (HR) for all-cause mortality were calculated using a multivariable Cox proportional hazards model.

RESULTS

During the 5.3 year median follow-up period (54,084 person-years), 1352 deaths were recorded. After adjusting for confounders, including lifestyle and medical history, compared with participants with a BMI of 21.5-24.9 kg/m2, those in the lower BMI category had a higher mortality HR, while those with a higher BMI displayed an inverse association with mortality (<18.5 kg/m2: HR: 1.85, 95% confidence interval [CI]: 1.58-2.17; 18.5-21.4 kg/m2: HR: 1.38, 95% CI: 1.21-1.58; and ≥25.0 kg/m2: HR: 0.80, 95% CI: 0.67-0.96). In a model stratified by frailty status, the BMI range with the lowest HR for mortality was 23.0-24.0 kg/m2 in non-frail older adults; however, in frail older adults, a higher BMI was inversely associated with mortality.

CONCLUSIONS

The relationship between BMI and mortality varies between individuals with and without frailty, with those experiencing frailty potentially benefiting from a higher BMI compared to those without frailty. This study suggests that frailty should be assessed when considering the optimal BMI for the lowest mortality risk among older adults.

Self-Reported Sleep Duration and Bedtime Are Associated with Dementia Risk in Community-Dwelling People Aged 40-74 Years: The Murakami Cohort Study

Background

Sleep is a potentially modifiable factor associated with dementia, including Alzheimer's disease, but current evidence supporting this is insufficient.

Objective

This study aimed to determine whether sleep duration and bedtime patterns are associated with the risk of dementia among middle-aged and older people.

Methods

This cohort study had an eight-year follow-up period. Participants were 13,601 community-dwelling people aged 40-74 years living in Murakami (Niigata, Japan). Data were collected using a self-administered questionnaire. Predictors were self-reported sleep duration and bedtime, and the outcome was newly-diagnosed dementia determined using the long-term care insurance database. Covariates were demographic characteristics, body mass index, smoking, alcohol consumption, total physical activity, insomnia symptoms, disease history, and either bedtime or sleep duration. Cox proportional hazard models were used to calculate hazard ratios (HRs).

Results

The mean age of participants at baseline was 59.2 years. Over a mean follow-up period of 8.0 years, 319 cases of dementia were observed. A long self-reported sleep duration relative to the reference sleep duration (7 hours) was associated with increased dementia risk, with the "8 hours" group (adjusted HR = 1.30, 95% CI:0.99-1.73) and "≥9 hours" group (adjusted HR = 1.46, 95% CI:1.00-2.15) having an increased risk (marginally significant) relative to the reference group. Early bedtime was associated with increased dementia risk (adjusted p for trend = 0.0010), with the "21 : 00 or earlier" group (adjusted HR = 1.61, 95% CI:1.14-2.28) having an increased risk relative to the reference ("23 : 00").

Conclusions

A long self-reported sleep duration and early bedtime are both associated with increased dementia risk in middle-aged and older people.

Gut microbiome and frailty: insight from genetic correlation and mendelian randomization

Observational studies have shown that the gut microbiome is associated with frailty. However, whether these associations underlie causal effects remains unknown. Thus, this study aimed to assess the genetic correlation and causal relationships between the genetically predicted gut microbiome and frailty using linkage disequilibrium score regression (LDSC) and Mendelian Randomization (MR). Summary statistics for the gut microbiome were obtained from a genome-wide association study (GWAS) meta-analysis of the MiBioGen consortium (N = 18,340). Summary statistics for frailty were obtained from a GWAS meta-analysis, including the UK Biobank and TwinGene (N = 175,226). We used LDSC and MR analyses to estimate the genetic correlation and causality between the genetically predicted gut microbiome and frailty. Our findings indicate a suggestive genetic correlation between Christensenellaceae R-7 and frailty. Moreover, we found evidence for suggestive causal effects of twelve genus-level gut microbes on frailty using at least two MR methods. There was no evidence of horizontal pleiotropy or heterogeneity in the MR analysis. This study provides suggestive evidence for a potential genetic correlation and causal association between several genetically predicted gut microbes and frailty. More population-based observational studies and animal experiments are required to clarify this association and the underlying mechanisms.

Multimorbidity patterns in the working age population with the top 10% medical cost from exhaustive insurance claims data of Japan Health Insurance Association

Although the economic burden of multimorbidity is a growing global challenge, the contribution of multimorbidity in patients with high medical expenses remains unclear. We aimed to clarify multimorbidity patterns that have a large impact on medical costs in the Japanese population. We conducted a cross-sectional study using health insurance claims data provided by the Japan Health Insurance Association. Latent class analysis (LCA) was used to identify multimorbidity patterns in 1,698,902 patients who had the top 10% of total medical costs in 2015. The present parameters of the LCA model included 68 disease labels that were frequent among this population. Moreover, subgroup analysis was performed using a generalized linear model (GLM) to assess the factors influencing annual medical cost and 5-year mortality. As a result of obtaining 30 latent classes, the kidney disease class required the most expensive cost per capita, while the highest portion (28.6%) of the total medical cost was spent on metabolic syndrome (MetS) classes, which were characterized by hypertension, dyslipidemia, and type 2 diabetes. GLM applied to patients with MetS classes showed that cardiovascular diseases or complex conditions, including malignancies, were powerful determinants of medical cost and mortality. MetS was classified into 7 classes based on real-world data and accounts for a large portion of the total medical costs. MetS classes with cardiovascular diseases or complex conditions, including malignancies, have a significant impact on medical costs and mortality.

Dependent Leg Edema in Older Patients with or without Skin Lesion

Objective: This study aimed to clarify the features and causes of dependent edema (DE) in the legs of patients in geriatrics. Patients and Methods: We retrospectively reviewed 224 patients with DE, aged ≥65 years, who visited our clinic from April 2009-March 2022. DE was defined as bilateral leg edema in patients without known systemic edemagenic conditions, venous insufficiency confirmed by duplex venous scanning, or a cancer treatment history in the pelvic/inguinal lesions. Results: The median patient age was 77 years (range: 65-94 years), where 74% were female. Overall, 198 patients (88%) had gait disturbances caused mainly by musculoskeletal disorders, but 58 (26%) walked without aid. Compared with patients with DE only (N=129), patients with DE and venous stasis-related skin lesions (N=95) included a larger number of those with obesity than did those with DE only (26% vs. 14%, p=0.02). Conclusion: The primary cause of DE in older patients was the sedentary lifestyle secondary to aging and gait disturbance, not solely because of reduced leg function. The complications of obesity are associated with increased venous stasis-related skin lesions.

Alzheimer's disease with frailty: Prevalence, screening, assessment, intervention strategies and challenges

Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide and is expected to surge in prevalence due to aging populations. Frailty, characterized by muscle function decline, becomes more prevalent with age, imposing substantial burdens on patients and caregivers. This paper aimed to comprehensively review the current literature on AD coupled with frailty, encompassing prevalence, screening, assessment, and treatment while delving into the field's challenges and future trajectories. Frailty and AD coexist in more than 30% of cases, with hazard ratios above 120% indicating a mutually detrimental association.Various screening tools have emerged for both frailty and AD, including the Fried Frailty Phenotype (FP), FRAIL scale, Edmonton Frailty Scale (EFS), Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Clock Drawing Test (CDT), and General Practitioner Assessment of Cognition (GPCOG). However, none has solidified its role as the definitive gold standard. The convergence of electronic health records and brain aging biomarkers heralds a new era in AD with frailty screening and assessment. In terms of intervention, non-pharmacological strategies spanning nutrition, horticulture, exercise, and social interaction, along with pharmacological approaches involving acetylcholinesterase inhibitors (AChEIs), N-methyl-D-aspartate (NMDA) receptor antagonists, and anti-amyloid beta-protein medications, constituted cornerstones for treating AD coupled with frailty. Technological interventions like repetitive transcranial magnetic stimulation (rTMS) also entered the fold. Notably, multi-domain non-pharmacological interventions wield considerable potential in enhancing cognition and mitigating disability. However, the long-term efficacy and safety of pharmacological interventions necessitate further validation. Diagnosing and managing AD with frailty present several daunting challenges, encompassing low rates of early co-diagnosis, limited clinical trial evidence, and scarce integrated, pioneering service delivery models. These challenges demand heightened attention through robust research and pragmatic implementation.

Sarcopenic Obesity and Risk of Disability in Community-Dwelling Japanese Older Adults: A 5-Year Longitudinal Study

OBJECTIVES

Previous studies have indicated that sarcopenic obesity is a risk factor for disability onset. However, these studies had disparities in terms of criteria for sarcopenia, study design, or study population. No longitudinal study has investigated the effect of sarcopenic obesity on disability onset in an Asian population using the Asian Working Group for Sarcopenia 2019 criteria for sarcopenia definition. Herein, we aimed to investigate the longitudinal effect of sarcopenic obesity on disability onset in Japanese older adults and extend the generalizability of results to other populations.

DESIGN

Longitudinal cohort study.

SETTING AND PARTICIPANTS

A total of 4197 Japanese older adults (mean age 74.6 ± 5.0 years, 54.2% women) formed our study population.

MEASUREMENTS

Sarcopenia was identified using the Asian Working Group for Sarcopenia 2019 algorithm. Obesity was determined when body fat percentage was ≥25%, or when visceral fat content was ≥100 cm2 for either sex. Disability onset was defined as a new case of long-term care insurance system certification for 5 years from baseline. Missing values were managed with multi-imputation. Cox proportional hazard regression analysis was used with disability onset as dependent variable and group (nonsarcopenia/nonobesity as a reference, nonsarcopenia/obesity, sarcopenia/non-obesity, possible sarcopenia/obesity, possible sarcopenia/non-obesity, sarcopenic obesity) as explanatory variable, and was adjusted for potential confounding factors.

RESULTS

When the nonsarcopenia/nonobesity group was used as the reference category, other groups such as possible-sarcopenia/nonobesity [hazard ratio (HR) 1.38, 95% confidential interval (95% CI) 1.29‒1.47, P < .028], possible-sarcopenia/obesity (HR 1.54, 95% CI 1.46‒1.62 P < .001), sarcopenia/nonobesity (HR 2.09, 95% CI 1.96‒2.23, P < .001), and sarcopenic obesity (HR 2.48, 95% CI 2.24‒2.75, P < .001) showed significantly increased HRs.

CONCLUSIONS AND IMPLICATIONS

The risk of disability onset because of sarcopenic obesity was exceedingly higher compared with sarcopenia alone among community-dwelling older adults in Japan The health providers should consider assessing the co-existence of sarcopenia and obesity to screen for the risk of disability onset in the community-dwelling population.

The prevalence and predictors of geriatric giants in community-dwelling older adults: a cross-sectional study from the Middle East

The term "geriatric giants" refers to the chronic disabilities of senescence leading to adverse health outcomes. This study aimed to investigate the prevalence and predictors of geriatric giants in Southern Iran. The participants were selected from Bushehr city using a multistage cluster random sampling method. Demographic data were collected through interviews. Frailty, incontinence, immobility, depression, cognitive impairment, and malnutrition were measured by questionnaires and instruments. Finally, data from 2392 participants were analyzed. The prevalence of fecal incontinence was less than 1% among all participants and similar in men and women. In contrast, compared with men, women had higher prevalence of urinary incontinence (36.44% vs. 17.65%), depression (39.05% vs. 12.89%), anorexia and malnutrition (2.35% vs. 0.82%), immobility (8.00% vs. 2.5%), frailty (16.84 vs. 7.34), and pre-frailty (54.19 vs. 38.63%). The prevalence of dependence and cognitive impairment was also higher in women and considerably increased with the age of participants. In total, 12.07% of subjects were frail, and 46.76% were pre-frail. The prevalence of frailty exponentially increased in older age, ranging from 4.18% among those aged 60-64 years to 57.35% in those aged ≥ 80 years. Considering 95% confidence interval (CI), multivariate logistic regression revealed that low physical activity [odds ratio (OR) 31.73 (18.44-54.60)], cancer (OR 3.28 (1.27-8.44)), depression [OR 2.42 (1.97-2.98)], age [OR 1.11 (1.08-1.14)], waist circumference [OR 1.03 (1.01-1.06)], BMI [OR 1.07 (1.01-1.14)], MNA score [OR 0.85 (0.79-0.92)], polypharmacy [OR 2.26 (1.30-3.95)] and male gender [OR 0.63 (0.42-0.93)] were independently associated with frailty. White blood cell count (WBC), smoking, marital status, and number of comorbidities were not independently associated with frailty. Low physical activity was the strongest predictor of frailty, which may need more attention in geriatric care. Frailty, its predictors, and other components of geriatric giants were considerably more common among women and older ages.

Lifestyle factors that affect cognitive function-a longitudinal objective analysis

Background

Identifying lifestyle factors associated with cognitive decline has critical clinical and public health implications for dementia prevention in later life. The longitudinal associations of sleep and physical activity with cognitive function remain unclear. This study examined whether objectively measured sleep and physical activity were longitudinally associated with cognitive function in older adults over a three-year period.

Methods

This prospective cohort study enrolled 855 community-dwelling adults aged 65 and older, who were followed from 2015 to 2019. All participants were required to wear a wearable sensor for 7 consecutive days every 3 months and had annual cognitive assessments. Wearable sensor data (August 2015-September 2019) and Mini-Mental State Examination (MMSE) scores (August 2015-April 2019) were collected over 3 years of follow-up. First, principal component analysis was conducted to reduce the dimensions of the sleep and physical activity variables to two principal components for inclusion in a mixed-effects model. The sleep index consisted of sleep efficiency, time awake after sleep onset, and waking frequency. The physical activity index was composed of walking comprised steps per day and time devoted to light or moderate-to-vigorous physical activity. A higher sleep index indicated poor sleep quality, whereas a lower physical activity index indicated less physical activity. Second, a linear mixed effect model was used to examine the longitudinal association of sleep and physical activity indices with cognitive decline over time.

Results

In total, 855 adults were recruited for this study at baseline. Of these, 729 adults (85.3%) completed a measurement of lifestyle factors and an annual cognitive testing, whereas 126 were excluded because of death or loss during follow-up. After adjusting for age, sex, education level, and time, the sleep index was inversely associated with MMSE scores (estimate, -0.06229; standard error, 0.02202; p = 0.0047) and the physical activity index was positively associated with MMSE scores (estimate, 0.06699; standard error, 0.03343; p = 0.0453).

Conclusion

Poor sleep quality and lower physical activity were significant risk factors for subsequent cognitive decline in older adults. The present study facilitates the development of novel evidence-based interventions for physical activity and sleep quality to delay cognitive decline.

Prevalence of frailty and its association with oral hypofunction in older adults: a gender perspective

BACKGROUND

Previous studies have indicated an association between oral hypofunction and frailty in community-dwelling older adults. However, this issue has not been evaluated in institutionalized older patients. We aimed to determine the prevalence of physical frailty in this particularly vulnerable group and evaluate its association with oral hypofunction, analyzing possible differences by gender.

METHODS

This cross-sectional study was conducted in private and public care homes in Guayaquil (Ecuador) from January 2018 until December 2019. Participants were classified as robust, pre-frail, and frail according to the Fried's frailty phenotype. Oral hypofunction was defined as the presence of at least three positive items in the following list: poor oral hygiene, oral dryness, reduced occlusal force, decreased masticatory function, and deterioration of swallowing function. The relationships between frailty and oral hypofunction were analyzed using logistic regression models for the whole sample and stratified by gender. Statistical analyses were performed using STATA 15.0 software (Stata Corp. LP, College Station, TX, USA).

RESULTS

Among the 589 participants analyzed (65% women), the median age was 72 years (interquartile range: 66-82). Pre-frailty and frailty were presented in 66.7% and 28.9% of them respectively. Weakness was the most frequent item (84.6%). There was a significant relationship between frailty and oral hypofunction in women. In the overall sample, the frequency of frailty was 2.06 times higher (95% CI 1.30-3.29) in patients with oral hypofunction, and this association was maintained in women (ORa: 2.18; 95% CI 1.21-3.94). Reduced occlusal force and decreased swallowing function were items significantly associated with the presence of frailty (ORa: 1.95; 95% CI 1.18-3.22 and ORa: 2.11; 95% CI 1.39-3.19, respectively).

CONCLUSION

The prevalence of frailty and pre-frailty was high among institutionalized older people and was associated with the presence of hypofunction, especially in women. Decreased swallowing function was the most strongly item associated with frailty.

The national burden of frailty and disproportionate distribution of its components-the predominance of slow gait speed: a 2018-19 face-to-face epidemiologic assessment representative of population of older Poles

BACKGROUND

The prevalence of frailty and its components may be affected by age, diseases and geriatric deficits. However, the current operational definition of frailty assigns equal weight to the five components of frailty.

AIMS

To perform a population-based assessment of physical frailty, its prevalence, and distribution of its components across different age, disease and deficit spectrum.

METHODS

From 2018 to 2019, we conducted a face-to-face cross-sectional assessment of a representative sample of older Poles. We obtained data on frailty components, chronic disease burden, and prevalence of particular diseases and geriatric deficits. We calculated weighted population estimates, representative of 8.5 million older Poles, of prevalence of frailty and its components across the disease burden, associated with the particular diseases and the geriatric deficits present.

RESULTS

Of 10,635 screened persons ≥ 60 years, 5987 entered the face-to-face assessment. Data of 5410 have been used for the present analysis. Seventy-two percent of the population are burdened with at least one frailty component. The estimated weighted population prevalence (95% CI) of frailty was 15.9% (14.6-17.1%), and of pre-frailty 55.8% (53.3-58.2%). Slow gait speed predominated across disease burden, specific diseases, geriatric deficits and the age spectrum. Overall, the prevalence of slow gait speed was 56.3% (52.7-60.0%), followed by weakness 26.9% (25.4-28.4%), exhaustion 19.2% (17.6-20.8%), low physical activity 16.5% (14.8-18.3%), and weight loss 9.4% (8.4-10.3%).

CONCLUSIONS

Slow gait speed predominates among the components of frailty in older Poles. This may affect the component-tailored preventive and therapeutic actions to tackle frailty.

Projections of future coronary heart disease and stroke mortality in Japan until 2040: a Bayesian age-period-cohort analysis

Background

We aimed to estimate the future burden of coronary heart disease (CHD) and stroke mortalities by sex and all 47 prefectures of Japan until 2040 while accounting for effects of age, period, and cohort and integrating them to be at the national level to account for regional differences among prefectures.

Methods

We estimated future CHD and stroke mortality projections, developing Bayesian age-period-cohort (BAPC) models in population and the number of CHD and stroke by age, sex, and all 47 prefectures observed from 1995 to 2019; then applying these to official future population estimates until 2040. The present participants were all men and women aged over 30 years and were residents of Japan.

Findings

In the BAPC models, the predicted number of national-level cardiovascular deaths from 2020 to 2040 would decrease (39,600 [95% credible interval: 32,200-47,900] to 36,200 [21,500-58,900] CHD deaths in men, and 27,400 [22,000-34,000] to 23,600 [12,700-43,800] in women; and 50,400 [41,900-60,200] to 40,800 [25,200-67,800] stroke deaths in men, and 52,200 [43,100-62,800] to 47,400 [26,800-87,200] in women).

Interpretation

After adjusting these factors, future CHD and stroke deaths will decline until 2040 at the national level and in most prefectures.

Funding

This research was supported by the Intramural Research Fund of Cardiovascular Diseases of the National Cerebral and Cardiovascular Center (21-1-6, 21-6-8), JSPS KAKENHI Grant Number JP22K17821, and the Ministry of Health, Labour and Welfare Comprehensive Research on Life-Style Related (Diseases Cardiovascular Diseases and Diabetes Mellitus Program), Grant Number 22FA1015.

Poor Sleep Quality in Aging: The Association with Mental Health

Sleep disturbances are common in the elderly. A primary sleep disorder can result from the physiological decline of aging; however, secondary sleep problems result from various causes involving physical and mental health. Since little is known about the relationships between sleep quality and mental health in aging, the present study aims to understand how different aspects generally associated with sleep (e.g., psychological and physiological factors, and sleep medication) may predict poor sleep quality in different stages of the lifespan. Therefore, we conducted several analyses (ANOVAs, Pearson correlations, and linear regressions) to test the hypotheses of the study. Accordingly, from a pool of 180 participants (elderly, middle-aged, and young adults), 143 individuals with poor sleep quality were selected. Different predictive patterns in the three groups emerged. Specifically, the use of sleep medication associated with worse sleep conditions is predicted by poor sleep quality in the elderly and by depression in young adults. In contrast, worsening sleep quality is predicted by depression in middle-aged adults. Previous studies focused on the transitions from good to poor sleep quality, while this is the first study to have examined the features of poor sleep quality in aging, highlighting different sleep patterns across the lifespan. This evidence should be considered from a preventive perspective.

Cognitive Frailty and Functional Disability Among Community-Dwelling Older Adults: A Systematic Review

Background and Objectives

This review aimed to summarize the association between cognitive frailty (presence of frailty and cognitive impairment) and the risk of disabilities in activities of daily living (ADL), instrumental ADL (IADL), mobility, or other functional disabilities among older adults.

Research Design and Methods

PubMed, Embase, CINAHL Plus, and PsycINFO were searched from January 2001 to May 14, 2022, for observational studies that reported cognitive frailty among community-dwelling individuals aged 60 years and above. Results were narratively synthesized.

Results

Eleven studies encompassing 44 798 participants were included, with a prevalence of cognitive frailty ranging from 1.4% to 39.3%. Individuals with cognitive frailty were more likely to develop disabilities in ADL and IADL compared to robust (absence of frailty and cognitive impairment) individuals. Significant disability burden and elevated risk of combined ADL/IADL disability or physical limitation among participants with cognitive frailty were reported. There was limited evidence on the association between cognitive frailty and mobility disability.

Discussion and Implications

Individuals with cognitive frailty were likely at higher risk of developing functional disability and incurring higher disability burden than robust individuals, but evidence remains limited for those with prefrailty with cognitive impairment. Further research on this gap and standardization of cognitive frailty assessments would facilitate comparisons across populations.

PROSPERO Registration

CRD42021232222.

Female perspective: the burden of Alzheimer's disease and other dementias in China from 1990 to 2019 and prediction of their prevalence up to 2044

Background

Dementia is more prevalent in women than in men across the world, and sex differences are reflected in the burden of dementia borne by women and men. However, a few studies have specifically analyzed the disease burden of dementia in Chinese women.

Objective

This article aims to raise awareness of Chinese females with dementia (CFWD), outline an effective response to future trends in China from a female perspective, and provide a reference for the scientific formulation of dementia prevention and treatment policies in China.

Methods

In this article, epidemiological data on dementia in Chinese women were obtained from the Global Burden of Disease Study 2019, and three risk factors, namely, smoking, a high body mass index, and a high fasting plasma glucose, were selected for the analysis. This article also predicted the burden of dementia in Chinese women in the next 25 years.

Results

The prevalence of dementia, mortality, and disability-adjusted life year rates increased with age in CFWD in 2019. All three risk factors provided by the Global Burden of Disease Study 2019 showed positive correlations for the effect of disability-adjusted life years (DALYs) rates on CFWD. Among them, a high body mass index had the greatest effect (8%) and smoking had the smallest effect (6.4%). Over the next 25 years, the number of CFWD and its prevalence are expected to be on the rise, while mortality is expected to remain relatively stable and decline slightly, but deaths from dementia will continue to increase.

Conclusions

The situation arising due to the spread of dementia among Chinese women in the future is going to become a serious issue. To reduce the burden of dementia, the Chinese government should prioritize its prevention and treatment. A multi-dimensional, long-term care system involving families, community, and hospitals should also be established and supported.

Relationship between consistent subjective cognitive decline and occurrence of falls six months later

PURPOSE

To examine the association between consistent subjective cognitive decline and fall occurrence six months later.

METHOD

A cohort study was conducted at two time points in community-dwelling older adults. The first survey was conducted from May to July 2020 and the second from November 2020 to January 2021. Older adults without missing data who had not fallen during the past year were analyzed. The questionnaire included sociodemographic data, a questionnaire for medical checkup of older adults, and a frailty screening index. We divided the participants into three groups according to the occurrence of subjective cognitive decline (SCD): 1) no SCD (did not complain of SCD at both time points), 2) unstable SCD (complained of SCD once), and 3) consecutive SCD (consistently complained of SCD). Multiple logistic regression analysis was used to examine the association between fall occurrence and SCD. Fall occurrences were obtained from the second survey.

RESULTS

In total, 322 participants were included in the analysis. The numbers of patients with no SCD, unstable SCD, and consecutive SCD were 226 (70.2%), 61 (19.0%), and 35 (10.9%), respectively. In the second survey, the number of falls was 26 (8.1%). Multiple logistic regression analysis showed that consecutive SCD was associated with fall occurrence, even after adjusting for age, sex, comorbidity, cohabitants, and frailty status (OR:3.143, 95% CI:1.076-9.388); however, unstable SCD was not (OR:2.348, 95% CI:0.816-6.468).

CONCLUSION

Consistent complaints of SCD were associated with the occurrence of falls. We highlighted the importance of evaluating SCD over time when considering falls.

Polypharmacy in Older Adults with Alzheimer’s Disease

The number of patients with Alzheimer’s disease is increasing annually. Most of these patients are older adults with comorbid physical illnesses, which means that they are often treated with a combination of medications for the disease they have and those for Alzheimer’s disease. Thus, older adults with Alzheimer’s disease are potentially at risk for polypharmacy. In addition, the drug interactions between Alzheimer’s disease medications and those for the treatment of physical illnesses may reduce their efficacy and increase side effects. This article reviews polypharmacy and drug interactions in elderly patients with Alzheimer’s disease, with a focus on psychotropic drugs.

Predicting demand for long-term care using Japanese healthcare insurance claims data

BACKGROUND

Driven by the rapid aging of the population, Japan introduced public long-term care insurance to reinforce healthcare services for the elderly in 2000. Precisely predicting future demand for long-term care services helps authorities to plan and manage their healthcare resources and citizens to prevent their health status deterioration.

METHODS

This paper presents our novel study for developing an effective model to predict individual-level future long-term care demand using previous healthcare insurance claims data. We designed two discriminative models and subsequently trained and validated the models using three learning algorithms with medical and long-term care insurance claims and enrollment records, which were provided by 170 regional public insurers in Gifu, Japan.

RESULTS

The prediction model based on multiclass classification and gradient-boosting decision tree achieved practically high accuracy (weighted average of Precision, 0.872; Recall, 0.878; and F-measure, 0.873) for up to 12 months after the previous claims. The top important feature variables were indicators of current health status (e.g., current eligibility levels and age), risk factors to worsen future healthcare status (e.g., dementia), and preventive care services for improving future healthcare status (e.g., training and rehabilitation).

CONCLUSIONS

The intensive validation tests have indicated that the developed prediction method holds high robustness, even though it yields relatively lower accuracy for specific patient groups with health conditions that are hard to distinguish.