Gerontology最新文献

Introduction: Existing evidence evaluating the impact of change in body mass index (BMI) on the risk of all-cause and cardiovascular disease (CVD)-related mortality in older people is limited and inconsistent. This population-based cohort study evaluated the association of changes in BMI over time with all-cause and CVD-related mortality in older adults.

Methods: We recruited 55,351 adults aged over 65 years between 2006 and 2011 from Taipei Elderly Health Examination Program who underwent repeated annual health examinations at 3.2-year intervals and were followed up for mortality over 5.5 years. Cox proportional hazard and Fine-Gray sub-distribution hazard models with death from non-CVD causes as the competing risk were used to determine the impact of changes in BMI status on the risk of all-cause or CVD-related mortality, respectively.

Results: Over 227,967 person-years of follow-up, 4,054 participants died, including 940 (23.2%) CVD-related deaths. After adjusting for other covariates, >10% decrease in BMI was significantly associated with a higher risk of all-cause (adjusted hazard ratio [AHR] = 1.93; 95% confidence interval [CI]: 1.74-2.13) and CVD-related mortality (AHR = 1.96; 95% CI: 1.60-2.40), compared with stable BMI. Sensitivity analysis showed that a >10% decrease in BMI was significantly associated with a high risk of all-cause and CVD-related mortality in participants with normal weight, underweight, overweight, or obesity at baseline.

Conclusion: Older adults with >10% decrease in BMI are at high risk of all-cause and CVD-related mortality. Our findings suggest that older individuals experiencing a substantial reduction in BMI should undergo a thorough evaluation to minimize the risks associated with mortality.

Introduction: The C-reactive protein/albumin ratio is a reliable indicator of outcome risk in several diseases. This study aims to evaluate prognostic power of the C-reactive protein/albumin ratio for in-hospital mortality and the dose-response relationship between the two in the oldest-old patients with acute ischemic stroke.

Methods: A longitudinal observational study was conducted on patients with acute ischemic stroke (aged ≥80 years) from two tertiary hospitals between January 1, 2014, and January 31, 2020. Based on the tertiles of the C-reactive protein/albumin ratio, the patients were divided into three groups. Restrictive cubic spline and robust locally weighted regression analysis were performed on continuous variables to examine the dose-response relationship between the C-reactive protein/albumin ratio and in-hospital mortality risk. All-cause mortality during hospitalization was the outcome for this study.

Results: The study included 584 patients (mean age = 84.6 ± 3.1 years; 59.6% men). The C-reactive protein/albumin ratio was divided into three groups, namely, T1 of <0.73, T2 of 0.73-2.03, and T3: >2.03. After adjusting for demographic and clinical characteristics, a higher C-reactive protein/albumin ratio was independently associated with in-hospital mortality. The hazard ratio for this association was 2.01 (95% confidence interval: 1.12-3.60, p = 0.019). A dose-response relationship between the C-reactive protein/albumin ratio and in-hospital mortality risk was observed. Sensitivity analysis found no attenuation in the hazard ratio in uninfected individuals, whereas no difference in the hazard ratio was noted in individuals with infections.

Conclusions: When predicting in-hospital mortality in the oldest-old patients with ischemic stroke, the C-reactive protein/albumin ratio might be a helpful and convenient metric.

Introduction: Smart healthcare technologies (SHCTs) exhibit the great potential to support older Hong Kong adults with their health problems. Although there are various SHCTs in the Hong Kong market, and some adoption predictors have been proposed and investigated, little is known about older users' views on and real-life experiences with these technologies. This exploratory study examined the experiences, functional needs, and barriers of three kinds of SHCT (i.e., smart wearable devices, smart health monitors, and healthcare applications) with older adults in real life.

Methods: A convenience sampling method was applied to recruit twenty-two older adults from the Hong Kong community. The interview was designed in semi-structured and conducted in a face-to-face setting. The content analysis was used to summarize the older adults' functional needs and barriers in real life.

Results: We found older adults mainly applied SHCTs to address physical health, but there are few technological solutions for mental health in practice. There are four types of barriers in using SHCT. However, social support in Hong Kong community greatly helps reduce the barriers in technology use. Based on the findings, we discussed the possible solutions based on the social and technology perspective.

Conclusion: Current technologies still could not fully address older adults' needs for healthy aging, and various barriers still hinder the actual adoption. By deeply understanding and considering the social context, technology innovation can facilitate the adoption of SHCT and promote a healthy aging society.

Background: The pentagon copy is a sensitive item to the prediction of cognitive decline and dementia. Cognitive and physical/motor decline are able to accelerate the evolution of each other by representing a common pathway toward frailty.

Objectives: The objective of the study was to investigate the association of the pentagon-copying task with physical and motor performances and with frailty, in a sample of older adults.

Method: This observational, cross-sectional, and single-center study was conducted in a Geriatric Outpatients Clinic. Subjects aged ≥65 years were consecutively recruited, on a voluntary basis. Subjects with positive psychiatric history, with a severe neurocognitive disorder, with severe limitations on the upper limbs and/or reporting sensory deficits were excluded. The pentagon-copying task was scored from the Mini-Mental State Examination; the Qualitative Scoring Pentagon Test (QSPT) was also used. Handgrip strength was measured; a 46-item Frailty Index was calculated; in subjects with autonomous walking, a 4-meter gait speed was also measured.

Results: The study included 253 subjects (mean age 80.59 ± 6.89 years). Subjects making a wrong pentagon copy showed greater odds of exhibiting a strength deficit (OR = 3.57; p = 0.001) and of being frail (OR = 4.80; p < 0.001), and exhibited a slower gait. The QSTP score was significantly correlated with handgrip strength (r = 0.388) and gait speed (r = 0.188) and inversely correlated with frailty (r = -0.428); the QSTP score was significantly different between the quartiles of handgrip strength and frailty.

Conclusions: The pentagon-copying task might also be confirmed as a quick screening tool of aging trajectories toward frailty by jointly evaluating cognitive and physical performances.

Introduction: The longevity is influenced by genetic, environmental, and lifestyle factors. The specific changes that occur in the gut microbiome during the aging process, and their relationship to longevity and immune function, have not yet been fully understood. The ongoing research of other microbiome based on longevity cohort in Kazakhstan provides preliminary information on longevity-related aging, where cytokine expression is associated with specific microbial communities and microbial functions.

Methods: Metagenomic shotgun sequencing study of 40 long-lived individuals aged 90 years and over was carried out, who were conditionally healthy and active, able to serve themselves, without a history of serious infection and cancer, who had not taken any antimicrobials, including probiotics. Blood serum was analyzed for clinical and laboratory characteristics. The cytokine and chemokine profile in serum and stool samples was assessed using multiplex analysis.

Results: We found a significant increase in the expression of pro-inflammatory cytokines IL-1a, IL-6, 12p70, IP-10, IFNα2, IL-15, TNFa, as well as chemokines MIP-1a/CCL3 and MIP-1b/CCL4, chemokine motif ligands MCP-3/CCL7 and MDC/CCL22(1c). Nonagenerians and centenarians demonstrated a greater diversity of core microbiota genera and showed an elevated prevalence of the genera Bacteroides, Clostridium, Escherichia, and Alistipes. Conversely, there was a decrease in the abundance of the genera Ruminococcus, Fusicatenibacter, Dorea, as well as the species Fusicatenibacter saccharivorans. Furthermore, functional analysis revealed that the microbiome in long-lived group has a high capacity for lipid metabolism, amino acid degradation, and potential signs of chronic inflammatory status.

Conclusion: Long-lived individuals exhibit an immune system imbalance and observed changes in the composition of the gut microbiota at the genus level between to the two age-groups. Age-related changes in the gut microbiome, metabolic functions of the microbial community, and chronic inflammation all contribute to immunosenescence. In turn, the inflammatory state and microbial composition of the gut is related to nutritional status.

Introduction: Although frailty is a geriatric syndrome that is associated with disability, hospitalization, and mortality, it can be reversible and preventable with the appropriate interventions. Additionally, as the current diagnostic criteria for frailty include only physical, psychological, cognitive, and social measurements, there is a need for promising blood-based molecular biomarkers to aid in the diagnosis of frailty.

Methods: To identify candidate blood-based biomarkers that can enhance current diagnosis of frailty, we conducted a comprehensive analysis of clinical data, messenger RNA-sequencing (RNA-seq), and aging-related factors using a total of 104 older adults aged 65-90 years (61 frail subjects and 43 robust subjects) in a cross-sectional case-control study.

Results: We identified two candidate biomarkers of frailty from the clinical data analysis, nine from the RNA-seq analysis, and six from the aging-related factors analysis. By using combinations of the candidate biomarkers and clinical information, we constructed risk prediction models. The best models used combinations that included skeletal muscle mass index measured by dual-energy X-ray absorptiometry (adjusted p = 0.026), GDF15 (adjusted p = 1.46E-03), adiponectin (adjusted p = 0.012), CXCL9 (adjusted p = 0.011), or apelin (adjusted p = 0.020) as the biomarker. These models achieved a high area under the curve of 0.95 in an independent validation cohort (95% confidence interval: 0.79-0.97). Our risk prediction models showed significantly higher areas under the curve than did models constructed using only basic clinical information (Welch's t test p < 0.001).

Conclusion: All five biomarkers showed statistically significant correlations with components of the frailty diagnostic criteria. We discovered several potential biomarkers for the diagnosis of frailty. Further refinement may lead to their future clinical use.

Introduction: Given the known female disadvantage in physical and mental health, this study aimed to investigate sex differences in self-rated health (SRH) among older adults, considering the longitudinal course by age, birth cohort, and educational level.

Methods: Data from birth cohort 1911-1937 with baseline age 55-81 years (n = 3,107) and birth cohort 1938-1947 with baseline age 55-65 years (n = 1,002) from the Longitudinal Aging Study Amsterdam (LASA) were used. Mixed model analyses were used to examine sex differences in SRH (RAND General Health Perception Questionnaire [RAND-GHPQ], range 0-16) over the age course, testing for effect modification by the birth cohort and educational level (low, middle, high).

Results: For both sexes, a decline in SRH was seen with increasing age. Over the age course, there was no significant sex difference in SRH within the older (1911-1937) birth cohort (0.13 lower score on SRH for women compared to men, 95% CI: -0.35 to 0.09) and only a small sex difference in the more recent (1938-1947) birth cohort (0.35 lower score on SRH for women compared to men [95% CI: -0.69 to -0.02], p = 0.04). There was no significant cohort difference in the size of the sex difference (p = 0.279). Those with a higher level of education reported a higher SRH, but between educational levels, there was no significant difference in the size of the sex difference in SRH.

Discussion: In this study, no relevant sex difference in SRH over the age course was observed among older adults. Future research on SRH trajectories by sex during aging should take health-related, cognitive, psychosocial, and behavioral factors into account.

Introduction: The effects of exposure to particulate matter and frailty, as well as its exposure-response relationship, have not been effectively explored. This study aimed to explore the association between long-term exposure to particulate matter and frailty state and each dimension in Chinese middle-aged and older adults, in addition to the exposure-response relationship.

Methods: The data were obtained from the National Urban Air Quality Real-Time Dissemination Platform and China Health and Retirement Longitudinal Study (CHARLS). Frailty was measured by a frailty index containing 39 indicators. Annual averages of seven pollutants were calculated from hourly monitoring data. We used multilevel regression modeling to explore the association between long-term exposure to particulate matter and frailty. Meanwhile, we explored the exposure-response relationship based on a multilevel generalized summation model. We performed a sensitivity analysis using a multi-pollution model and a quantile-based g-computation (QGC) model.

Results: A total of 15,611 participants were included in the analysis. We find that long-term exposure to PM2.5 was associated with an increased risk of pre-frailty and frailty (all p < 0.05). PMc and PM10 exhibited similar associations. The exposure-response relationship between PM2.5 showed a linear relationship, whereas the exposure-response relationship between PM10, PMc showed a nonlinear relationship. Elevated PM2.5 concentrations showed significant positive associations with the number of chronic disease score, IADL score, and functional limitation status score (all p < 0.05). PM10 and PMc showed similar positive correlations. These results remained robust after sensitivity analyses using a multi-pollution model and QGC model.

Conclusion: Chronic exposure to particulate matter was significantly associated with increased risk of frailty. The exposure-response relationship between PM2.5 concentration and frailty showed a linear relationship, and the exposure-response relationship between PM10 and PMc showed a nonlinear relationship. Exposure to a mixture of pollutants carried a higher risk of frailty than exposure to a single pollutant.

Introduction: Hip fractures can have a significant impact on the lives of older people and their families. We conducted a pragmatic randomized controlled trial of post-discharge comprehensive geriatric care (CGC) for community-dwelling older adults after a surgically repaired hip fracture. The objective of this study was to conduct a secondary analysis to compare changes in health status and perceived capability from baseline to 12 months after randomization with: the EuroQol 5-Dimension (EQ-5D-5L) (1) utility score and (2) visual analog scale (VAS); and (3) well-being as measured by participants' perceptions of their ability (or capability) toward completing life activities using the ICEpop Capability Measure for Older People (ICECAP-O).

Methods: We tested the effect of usual care (control) versus usual care and an outpatient CGC clinic (intervention) on mobility after hip fracture in community-dwelling older adults (65 years+). In this secondary analysis, we report the following outcomes: EQ-5D-5L utility score and VAS collected monthly via telephone and ICECAP-O collected in person three times at baseline, 6 months, and 12 months. Data were analyzed using area under the curve and regression adjusted for baseline values for utility scores and capability, and constrained longitudinal data analysis for VAS.

Results: We enrolled 53 older adults, including 34 women and 19 men, with mean (SD) age of 80 (8) years. There were no statistical or clinically meaningful differences between groups (control group - intervention group values) for all variables: utility score = -0.028 (95% CI: -0.071, 0.014; p = 0.18); VAS: -0.03 (95% CI: -0.39 to 0.33; p = 0.86); and capability = -0.021 (95% CI: -0.090, 0.046; p = 0.54).

Conclusions: There were no differences in outcomes between groups over 12 months, but values remained constant, contrary to a potential decline for this age group, especially after a major life event like a hip fracture.