Aim The objective of this study was to verify the reliability and validity of the Dementia Assessment Sheet for Community‐based Integrated Care System 21 items (DASC‐21) among Chinese community‐dwelling older adults, and to explore the related factors for dementia screening. Methods The study adopted a cross‐sectional design, and a total of 1152 participants aged ≥60 years were recruited from 26 locations in China. All data were collected using questionnaires through face‐to‐face interviews. The logistic regression model was used to evaluate the effect factors of DASC‐21 for dementia screening. The receiver operating characteristic curves were used to determine the optimal cut‐off points and the accuracy of the DASC‐21 for dementia and mild cognitive impairment screening. Results For test–retest reliability, the Pearson correlation coefficient was 0.873 (P < 0.001). In the criterion‐related validity, the DASC‐21 scores were significantly and negatively correlated with the Mini‐Mental State Examination (r = −0.663, P < 0.001) and the Montreal Cognitive Assessment (r = −0.565, P < 0.001) scores. The results of the receiver operating characteristic analysis showed that there were different optimal cut‐off values for different age groups. The areas under the receiver operating characteristic curves were 95.6% and 90.3% for dementia and mild cognitive impairment screening using DASC‐21 after considering related effect factors. Conclusions The DASC‐21 was confirmed to be a valid and reliable instrument for dementia screening among Chinese community‐dwelling older adults. Our results suggested that the age, education level and 2‐week prevalence were important effect factors for dementia screening using the DASC‐21. Geriatr Gerontol Int 2021; 21: 705–711.
Background The prevalence of dependency personality disorder (DPD) is high among elderly people living in rural areas. This study aims to explore the association between dependency on community resources and social support among elderly individuals living in rural areas. Methods A cross-sectional study was conducted in 26 locations in China. A total of 1160 participants aged ≥ 60 years were selected using a complex multistage sampling design. All data were obtained using questionnaires via face-to-face interviews. DPD was measured using the Minnesota Multiphasic Personality Inventory-II in the standardized Chinese version. Self-efficacy was assessed using the Chinese version of the General Self-Efficacy Scale. Social support was measured using the Chinese version of the questionnaires of the Older American Resources and Services scale. Community services and resources comprised 44 items. The association between DPD and levels of social support and self-efficacy was evaluated using a logistic regression model. The association between social support and self-efficacy was assessed using analysis of covariance. Results Univariate analysis results showed that elderly people living in rural areas had higher DPD scores and lower levels of self-efficacy compared with those living in urban areas (P < 0.001). Logistic regression analysis showed that DPD was positively associated with the received frequencies of community health service, contracted family doctor services, and regular lectures on health knowledge among the elderly people with odd ratios of 1.58 (P < 0.001), 2.03 (P = 0.013), and 2.67 (P = 0.005), respectively. Logistic regression analysis showed significant interaction between social support and self-efficacy effect on DPD was found in the additive model (P < 0.001). Conclusion DPD was associated mainly with the community resources among elderly people living in rural areas. Social support and self-efficacy were commonly associated with DPD through a synergistic effect. These results suggest that DPD among elderly people may be reduced through effective social support to directly and indirectly promote the elderly’s use of community resources and improve their self-efficacy.
Background The incidence of dependency is high among the elderly people worldwide and increases with increasing life expectancy. The purpose of this study was to establish from the perspective of resource demand the association between community environmental resources and dependency among the elderly people. Methods This study is a cross-sectional design based on community from 22 locations in China. A multistage sampling method was used to select the study objects. The questionnaires were used to collect the survey data by face-to-face interviews. A total of 950 individuals completed the survey, and 913 individuals were available for this analysis. Dependency and community environment were measured using the standard instruments. Logistic regression analysis was performed to identify the community environment factors associated with dependency. Cluster analysis was used and demonstrated that dependency was mainly associated with community primary preventive care service resources. Results In the group aged under 70 years, the utilization of electronic health records and the need for health assessments, and rehabilitation equipment rentals were significantly associated with the levels of dependency scores: the OR was 2.81, 2.25 and 2.13 (P < 0.05), respectively. In the group aged 70 years and over, a short-term care home was strongly associated with levels of dependency: the OR was 4.01 (P = 0.002). The daycare and nursing service, transportation service, and regular lectures on health knowledge were associated with levels of dependency: the OR was 2.41, 1.86 and 1.93 (P < 0.05). In the group with low social support, an emergency call or monitoring system, transportation services, the need for health assessment, and regular lectures on health knowledge were significantly associated with levels of dependency: the OR was 2.42, 2.19, 1.89 and 1.98 (P < 0.05), respectively. Conclusions Community environment resources were significantly associated with dependency. These results suggest that the dependent on local environment resources may consider as the resource needs among elderly people.
Background The community environment plays a vital role in the health of older adults. During the COVID-19 epidemic, older adults, who were considered the most impacted and most vulnerable social group, were confined to their homes during the implementation of management and control measures for the epidemic. In such situations, older adults may have to contend with a lack of resources and experience anxiety. Therefore, identifying the environmental factors that are beneficial for their physical and mental health is critical. Objective This study aimed to assess the association between community cohesion and the physical and mental health of older adults and to identify the related community services and environmental factors that may promote community cohesion. Methods This community-based cross-sectional study was designed during the COVID-19 epidemic. A multistage sampling method was applied to this study. A total of 2036 participants aged ≥60 years were sampled from 27 locations in China. Data were collected through face-to-face interviews. The neighborhood cohesion instrument consisting of scales on 3 dimensions was used to assess community cohesion. Self-efficacy and life satisfaction, cognitive function and depression, and community services and environmental factors were also measured using standard instruments. Statistical analyses were restricted to 99.07% (2017/2036) of the participants. Separate logistic regression analysis was conducted to assess the association among community cohesion and physical and mental health factors, related community services, and environmental factors among older adults. Results The results showed that high levels of community cohesion were associated with good self-perceived health status and life satisfaction (odds ratio [OR] 1.27, 95% CI 1.01-1.59 and OR 1.20, 95% CI 1.15-1.27, respectively) and high levels of self-efficacy and psychological resilience (OR 1.09, 95% CI 1.05-1.13 and OR 1.05, 95% CI 1.03-1.06, respectively). The length of stay in the community and the level of physical activity were positively associated with community cohesion scores, whereas the education level was negatively associated with community cohesion scores (P=.009). Community cohesion was also associated with low levels of depression and high levels of cognitive function. Community cohesion was significantly associated with community services and environmental factors on 4 dimensions. High levels of community cohesion were associated with transportation services and rehabilitation equipment rental services as well as high levels of satisfaction with community physicians’ technical expertise and community waste disposal (OR 3.14, 95% CI 1.87-5.28; OR 3.62, 95% CI 2.38-5.52; OR 1.37, 95% CI 1.08-1.73; and OR 1.23, 95% CI 1.01-1.50, respectively). Conclusions Community cohesion was found to be associated with the physical and mental health of older adults. Our research suggests that enhancing community services and environmental resources may be an effective strategy to increase community cohesion during major infectious disease epidemics.
Background: The prevalence of dependency personality disorder is high among elderly individuals with a low level of social support. The objective of this study was to explore the dependency associated with important community resources among elderly individuals with a low level of social support from the perspective of resource demand. Methods: The population-based cross-sectional study was conducted in 22 locations in China. A total of 950 participants aged ≥60 years were selected using a complex multistage sampling design. All the data were collected using questionnaires via face-to-face interviews. The dependency was assessed using the standardized Chinese version of the Minnesota Multiphasic Personality Inventory-II. Community resources were assessed using 43 items. Logistic regression analysis was used to evaluate the association between dependency and important community resources. Results: Bivariate analysis showed that the level of social support was negatively associated with levels of income (p < 0.001) and education (p = 0.008) and was positively associated with social communication and interactions (p < 0.001). The logistic regression analysis showed that the emergency call or survival monitoring system (ECSMS) was the most important community resource that was significantly associated with the levels of dependency; the odds ratio was 2.64 (95% CI, 1.07–3.91; p = 0.031) among elderly individuals with a low level of social support. Conclusions: The levels of dependency were most significantly associated with the ECSMS among elderly individuals with a low level of social support. Our results suggest that improving the ECSMS can be the main problem in the development of community resources.
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