BACKGROUND AND PURPOSE: The tip-of-the-tongue (TOT) phenomenon refers to knowing the meaning of the desired information but being unable to produce the phonological information. This study induced the TOT phenomenon through a task involving naming famous people, compared and analyzed results by age, and examined the differences with effects from pathological aging [mild cognitive impairment (MCI)]. METHODS: Young (n=10), middle-aged (n=10), older (n=10), oldest (n=10), and MCI (n=10) subjects participated in this study. To examine TOT rate, rate of TOT response, voluntary TOT solution rate, and TOT solution rate after presenting syllabic cue, each group participated in the experiment through a task of naming famous people. RESULTS: First, as subject age increased, TOT rate (the number of TOTs divided by total trials) increased. There was no significant difference with pathological aging. Second, normal aging and pathological aging had no significant effect on the rate of TOT response (the number of each response type divided by total response types). Third, the voluntary TOT solution rate (the number of voluntary TOT solutions divided by total TOTs) on occurrence of the TOT phenomenon was very low. Fourth, the TOT solution rate (the number of TOT solutions after presenting syllabic cue divided by total TOTs) had a negative correlation to normal aging. In examining pathological aging, the TOT solution rate of the MCI group was significantly lower than normal oldest people. CONCLUSION: Normal aging and pathological aging showed differences regarding TOT rate and TOT solution rate when naming famous individuals. The results of this study could be helpful as a differential tool between normal and pathological aging.
Aging* ; Cues ; Mild Cognitive Impairment*

BACKGROUND

Type 2 Diabetes Mellitus (T2DM) patients are predisposed to cognitive decline and dementia. The cooccurrence of the two diseases translate to a higher medical cost. Identification of factors contributing to cognitive impairment is warranted.

To determine the predictors of cognitive impairment among Filipino patients with Type 2 Diabetes Mellitus.

This is a cross-sectional analytical study involving Filipino patients diagnosed with T2DM in the outpatient clinic. A total of 171 patients were included and were screened using AD8-P tool.

A total of 171 adult patients were included and screened for cognitive impairment.19.3% were cognitively impaired, with mean age of 59.6 years old (vs. 55.5 years old, p < 0.029), and two-thirds were female. The mean duration of the patient’s diabetes was 11.2 years. After adjusting for confounders and multi-collinearity, the duration of diabetes was significantly associated with cognitive impairment with odds of developing cognitive impairment increasing as the duration reach 10 years above. Those with T2DM for at least ten years were 2.5 times more likely to develop cognitive impairment, holding the age constant. (OR = 2.5, 95% CI – 1.0 to 5.8, p < 0.043).

19.3% of Filipino patients with Type 2 Diabetes Mellitus in a tertiary government hospital are cognitively impaired and this can occur even in less than 65 years old. The ten years or longer duration of T2DM increases the risk of developing cognitive impairment by 2.5%.

No abstract available.
Aging* ; Alzheimer Disease* ; Mild Cognitive Impairment*

PURPOSE: This study was conducted to identify the effect of a multicomponent cognitive stimulation program (MCSP) on the improvement of older people's cognitive abilities. It also aimed to determine whether the effectiveness of the MCSP is related to age.METHODS: A one-group pretest-posttest design was used. The program was conducted once a week for 10 weeks. The Korean-Montreal Cognitive Assessment (K-MoCA) was used to measure cognitive functions before and after the MCSP. Participants included 37 people aged over 65 years with normal cognitive functions and living in I city. A paired t-test was used to compare K-MoCA scores before and after the MCSP, and a two-way analysis of variance was performed to confirm whether there is an interaction between the MCSP and age.RESULTS: It was found that the MCSP had a significant effect on improving cognitive functions (t = −5.15, p < .001). Regarding the subdomains, visuospatial/executive ability, recall, naming, and language ability showed significant effects; however, abstractive ability—which was not a focus of the program—showed no significant effect. There were differences in visuospatial/executive functions, language skills, and memory between the 65–79 years age group and the aged over 80 group. Further, regarding the relationship between the MCSP and age, it was found that their interaction was significant only with regard to visuospatial/executive ability.CONCLUSION: The MCSP helps to improve the cognitive functions of the elderly; however, its effect differs between the young-old group and the old-old group. Therefore, age should be considered when developing MCSPs.
Aged ; Aging ; Cognition ; Cognitive Therapy ; Female ; Humans ; Language ; Memory

Aging is a major risk factor for many human diseases, including cognitive impairment, which affects a large population of the elderly. In the past few decades, our understanding of the molecular and cellular mechanisms underlying the changes associated with aging and age-related diseases has expanded greatly, shedding light on the potential role of these changes in cognitive impairment. In this article, we review recent advances in understanding of the mechanisms underlying brain aging under normal and pathological conditions, compare their similarities and differences, discuss the causative and adaptive mechanisms of brain aging, and finally attempt to find some rules to guide us on how to promote healthy aging and prevent age-related diseases.
Humans ; Aged ; Aging/pathology* ; Brain ; Cognitive Dysfunction ; Risk Factors

China is facing the peak of an ageing population, and there is an increase in demand for intelligent healthcare services for the elderly. The metaverse, as a new internet social communication space, has shown infinite potential for application. This paper focuses on the application of the metaverse in medicine in the intervention of cognitive decline in the elderly population. The problems in assessment and intervention of cognitive decline in the elderly group were analyzed. The basic data required to construct the metaverse in medicine was introduced. Moreover, it is demonstrated that the elderly users can conduct self-monitoring, experience immersive self-healing and health-care through the metaverse in medicine technology. Furthermore, we proposed that it is feasible that the metaverse in medicine has obvious advantages in prediction and diagnosis, prevention and rehabilitation, as well as assisting patients with cognitive decline. Risks for its application were pointed out as well. The metaverse in medicine technology solves the problem of non-face-to-face social communication for elderly users, which may help to reconstruct the social medical system and service mode for the elderly population.
Aged ; Humans ; Cognitive Dysfunction/prevention & control* ; Aging ; China ; Internet ; Technology

Objective: To explore the status quo, differences and influencing factors of health concern among the elderly in urban and rural areas. Methods: The data of China Health and Retirement Tracking Survey (CHARLS) in 2018 were used to describe the health concerns of the elderly in urban and rural areas by selecting relevant indicators. The differences of health concerns of the elderly in urban and rural areas were compared from two aspects of social demographic characteristics and health status. Multivariate logistic regression model was used to analyze the factors affecting the health concern of the elderly in urban and rural areas. Results: A total of 7 758 urban and rural elderly were included, including 1 913 urban elderly and 5 845 rural elderly. Half (3 899, 50.3%) of the elderly are at the average level of health concern, and there is a difference between urban and rural elderly (χ²=186.61,P<0.05). The rural and urban elderly with different characteristics had different health concerns. The rural elderly with more than two diseases had higher health concerns (χ²=13.71, P=0.001), and different living types of urban elderly people have different health concerns (χ²=28.96, P<0.001). Regression analysis showed that the health concern of the elderly in urban and rural areas was affected by many factors, gender (OR=1.51, P<0.001), health status (OR=2.18, P<0.001), cognitive function impairment (OR=2.93, P<0.001), depression (OR=0.49, P<0.001) is the main factor affecting the difference of health attention of the elderly in urban and rural areas. Whether to receive pension was the influential factor of health concern of the rural elderly (OR=0.63, P<0.05); Disability was an influential factor in the health concern of the urban elderly (OR=2.11, P<0.05). Conclusion: There is much room to improve the health attention of the elderly in urban and rural areas. It is suggested to increase the economic security of the elderly in rural areas and pay special attention to the disabled elderly in urban areas, so as to further improve the health status of the elderly groups.
Humans ; Aged ; Aging ; Retirement ; China ; Cognition ; Cognitive Dysfunction

Objective: To explore the status quo, differences and influencing factors of health concern among the elderly in urban and rural areas. Methods: The data of China Health and Retirement Tracking Survey (CHARLS) in 2018 were used to describe the health concerns of the elderly in urban and rural areas by selecting relevant indicators. The differences of health concerns of the elderly in urban and rural areas were compared from two aspects of social demographic characteristics and health status. Multivariate logistic regression model was used to analyze the factors affecting the health concern of the elderly in urban and rural areas. Results: A total of 7 758 urban and rural elderly were included, including 1 913 urban elderly and 5 845 rural elderly. Half (3 899, 50.3%) of the elderly are at the average level of health concern, and there is a difference between urban and rural elderly (χ²=186.61,P<0.05). The rural and urban elderly with different characteristics had different health concerns. The rural elderly with more than two diseases had higher health concerns (χ²=13.71, P=0.001), and different living types of urban elderly people have different health concerns (χ²=28.96, P<0.001). Regression analysis showed that the health concern of the elderly in urban and rural areas was affected by many factors, gender (OR=1.51, P<0.001), health status (OR=2.18, P<0.001), cognitive function impairment (OR=2.93, P<0.001), depression (OR=0.49, P<0.001) is the main factor affecting the difference of health attention of the elderly in urban and rural areas. Whether to receive pension was the influential factor of health concern of the rural elderly (OR=0.63, P<0.05); Disability was an influential factor in the health concern of the urban elderly (OR=2.11, P<0.05). Conclusion: There is much room to improve the health attention of the elderly in urban and rural areas. It is suggested to increase the economic security of the elderly in rural areas and pay special attention to the disabled elderly in urban areas, so as to further improve the health status of the elderly groups.
Humans ; Aged ; Aging ; Retirement ; China ; Cognition ; Cognitive Dysfunction

BACKGROUND AND PURPOSE: Vocabulary knowledge is used as a representative index of general intelligence, and is regarded as a marker for cognitive reserve in elderly people. However, vocabulary knowledge mainly depends on formal education, hence, it may not fully represent cognitive functioning in elderly people with poor educational backgrounds. Herein, we investigated whether vocabulary knowledge is a measure of general cognitive ability among normal elderly people with few years of formal education. METHODS: The association between vocabulary knowledge and general cognitive functioning was compared between 35 elderly females with very low educational attainment and 68 elderly females with higher education. RESULTS: The vocabulary knowledge was a significant predictor of general cognitive functioning in elderly individuals with more than primary education, even after controlling the effects of age and years of education. However, it was not a significant predictor of general cognitive functioning in elderly individuals with very low educational attainment. CONCLUSIONS: Vocabulary assessment was effective in estimating general cognitive functioning in elderly individuals who received ≥6 years of education. Our findings suggested that vocabulary knowledge may not be an effective proxy of premorbid intelligence or cognitive reserve in people who have not completed elementary schooling.
Aged* ; Cognitive Aging ; Cognitive Reserve ; Education ; Female ; Humans ; Intelligence ; Proxy ; Vocabulary*

OBJECTIVE: This study aimed to examine the effects of the social engagement (size of the social networks, social support, social conflict) by relationship types (spouse, family and kin, and neighbor and friends) on the cognitive functions of older adults in rural communities. METHODS: The participants of this study were normal older adults who participated in the first wave of the Korean Social Life, Health and Aging Project. Five hundred two older adults (men 218, women 284) aged 60 and over (mean age=71.44±6.81) participated. We analyzed the effects of different types of social engagement on Mini-Mental State Examination for Dementia Screening (MMSE-DS) performance using hierarchical multiple regression analysis. RESULTS: The result showed that, after controlling for the education level and age, the social support from the spouse, the conflict with neighbors or friends, the number of neighbors or friends significantly predicted MMSE-DS scores. These three variables accounted for additional 5.2% of the total variance of MMSE-DS. CONCLUSION: Our findings suggest that social engagement (network size, support, conflict) is associated with cognitive function among older adults. However, social engagement in different types of social relationship may contribute differently to cognitive function of older adults.
Adult* ; Aging ; Cognition ; Cognitive Aging ; Cognitive Reserve ; Dementia ; Education ; Female ; Friends ; Humans ; Mass Screening ; Rural Population ; Spouses