Dataset Information

Dementia Literacy among Community-Dwelling Older Adults in Urban China: A Cross-sectional Study.

ABSTRACT:

Objective

Delay in seeking diagnosis of dementia is common in China. Misinformation and poor knowledge about dementia may contribute to it. The study was designed to explore the nationwide dementia literacy among older adults in urban China and to investigate the factors associated with overall dementia literacy.

Methods

In a cross-sectional study, a convenience sample of 3,439 community-dwelling old adults aged 60 and over was recruited from 34 cities in 20 provinces between June 20 and August 20, 2014. All participants were administered the face-to-face mental health literacy questionnaire, which included the prevalence, symptoms, intention, and options for treatment of dementia. Stepwise multivariate regression analysis was used to explore factors associated with overall dementia literacy.

Results

The response rate was 87.4%. The overall dementia literacy was 55.5% (SD?=?20.9%) among all respondents. The correct response rate was higher for questions on symptoms (58.7-89.6%), but lower for questions on the prevalence (22.2%) and choosing appropriate professional care personnel (22.2%). Being male [OR?=?1.256, 95% CI (1.022-1.543)], having lower per capita annual income [OR?=?1.314, 95% CI (1.064-1.623)], lower education [OR?=?1.462, 95% CI (1.162-1.839)], and suspected depression [OR?=?1.248, 95% CI (1.009-1.543)] were negatively associated with overall dementia literacy.

Conclusion

Dementia literacy among community-dwelling older adults in urban China remains very low, in particular about the impact of dementia and appropriate treatment personnel. Community educational programs aiming to close this knowledge gap are encouraged to focus on those in the population at highest risk of low dementia literacy.

SUBMITTER: Zhang H

PROVIDER: S-EPMC5461251 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Publications

Dementia Literacy among Community-Dwelling Older Adults in Urban China: A Cross-sectional Study.

Zhang Haifeng H Loi Samantha M SM Zhou Shu'aijun S Zhao Mei M Lv Xiaozhen X Wang Jing J Wang Xiao X Lautenschlager Nicola N Yu Xin X Wang Huali H

Frontiers in public health 20170607

<h4>Objective</h4>Delay in seeking diagnosis of dementia is common in China. Misinformation and poor knowledge about dementia may contribute to it. The study was designed to explore the nationwide dementia literacy among older adults in urban China and to investigate the factors associated with overall dementia literacy.<h4>Methods</h4>In a cross-sectional study, a convenience sample of 3,439 community-dwelling old adults aged 60 and over was recruited from 34 cities in 20 provinces between June ...[more]

PMID: 28638820

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Project description:BackgroundThe rapid development of digital health has reduced the time and cost of medical treatment, bringing efficient and economical benefits. However, older adults all over the world are deficient in digital health knowledge and skills to varying degrees. This study intends to investigate the current status and influencing factors of digital health literacy among community-dwelling older adults in Southwest China, so as to provide theoretical reference for global digital health researches and the construction of gerontological digital health service models.MethodsA cross-sectional survey was conducted from September 2020 to April 2021 in Chongqing, China. 572 community-dwelling older adults (≥ 65 years) were surveyed by stratified sampling. Data on sociodemographic characteristics, Internet usage, attitude towards Internet health information and digital health literacy were collected. Wherein, the digital health literacy assessment adopted the Digital Health Literacy Assessment Scale for community-dwelling older adults, which was developed by the research group, proven to be with good internal consistency (0.941), split-half reliability (0.889), test-retest reliability (0.941), content validity (0.967), criterion validity (0.938) and construct validity. The influencing factors were explored by univariate analysis and multiple linear regression analysis.ResultsThe average score of digital health literacy was 37.10 (SD 18.65). Univariate analysis showed that there were statistically significant differences in the comparison of digital health literacy according to 16 variables, such as different age and education levels. Multiple linear regression analysis showed that education level, marital status, self-rated health status, degree of health concerns, duration of Internet usage, time spent using the Internet per day, frequency of Internet usage, frequency of receiving guidance passively from family members, perceived usefulness, perceived ease of use and perceived reliability were positively correlated with digital health literacy, while age and perceived risk were negatively correlated with digital health literacy.ConclusionThe overall digital health literacy of community-dwelling older adults in Southwest China is relatively low. In the future, health professionals should fully consider the diverse influencing factors of digital health literacy, assess individual differences and provide targeted intervention programs. Meanwhile, global public health authorities should integrate health resources effectively, and seek health service models for older adults in line with the development of the digital age to narrow the digital divide.

Project description:BackgroundWith the advancing age of the population, and increasing demands on healthcare services, community participation has become an important consideration for healthy ageing. Low levels of community participation have been linked to increased mortality and social isolation. The extent to which community participation has been measured objectively in older adults remains scarce. This study aims to describe where and how older adults participate in the community and determine the feasibility of measurement methods for community participation.MethodsThis observational cross-sectional study obtained data from 46 community dwelling older adults. A combination of Global Positioning Systems (GPS), accelerometry, and self-reported diaries were used over a 7-day monitoring period. Feasibility of methods were determined by calculating the loss of GPS data, questionnaires, and comparison of self-reported locations with GPS co-ordinates. Relationships between community participation, physical activity, social interactions, health related quality of life, sleep quality and loneliness were explored.ResultsOlder adults took a median (IQR) of 15 (9.25-18.75) trips out of home over the 7-day monitoring period, most frequently visiting commercial and recreational locations. In-home activities were mainly sedentary in nature, with out of home activities dependent on location type. Self-reported and GPS measures of trips out of home and the locations visited were significantly correlated (self-report 15.7 (5.6) GPS 14.4 (5.8) (r = 0.94)). Significant correlations between both the number of trips taken from home, with social interactions (r = 0.62) and the minutes of moderate to vigorous physical activity (MVPA) (r = 0.43) were observed. Daily MVPA was higher in participants who visited local walk/greenspaces (r = 0.48).ConclusionParticipants performed more activities with social interactions out of home and visited commercial locations most frequently. The combination of GPS, accelerometry and self-report methods provided a detailed picture of community participation for older adults. Further research is required with older adults of varying health status to generalise the relationships between community participation, location and physical activity.Trial registrationEthical approval was gained from the Flinders University Social and Behavioural Research Ethics Committee (protocol no. 8176).

Project description:ObjectiveHealth literacy (HL) is the degree of individuals' capacity to access, understand, appraise and apply health information and services required to make appropriate health decisions. This study aimed to establish a predictive algorithm for identifying community-dwelling older adults with a high risk of limited HL.DesignA cross-sectional study.SettingFour communities in northern, central and southern Taiwan.ParticipantsA total of 648 older adults were included. Moreover, 85% of the core data set was used to generate the prediction model for the scoring algorithm, and 15% was used to test the fitness of the model.Primary and secondary outcome measuresPearson's χ2 test and multiple logistic regression were used to identify the significant factors associated with the HL level. An optimal cut-off point for the scoring algorithm was identified on the basis of the maximum sensitivity and specificity.ResultsA total of 350 (54.6%) patients were classified as having limited HL. We identified 24 variables that could significantly differentiate between sufficient and limited HL. Eight factors that could significantly predict limited HL were identified as follows: a socioenvironmental determinant (ie, dominant spoken dialect), a health service use factor (ie, having family doctors), a health cost factor (ie, self-paid vaccination), a heath behaviour factor (ie, searching online health information), two health outcomes (ie, difficulty in performing activities of daily living and requiring assistance while visiting doctors), a participation factor (ie, attending health classes) and an empowerment factor (ie, self-management during illness). The scoring algorithm yielded an area under the curve of 0.71, and an optimal cut-off value of 5 represented moderate sensitivity (62.0%) and satisfactory specificity (76.2%).ConclusionThis simple scoring algorithm can efficiently and effectively identify community-dwelling older adults with a high risk of limited HL.

Project description:ObjectivesTo investigate the prevalence of the comprehensive frailty and its associated factors among community dwelling older adults.DesignA cross-sectional study.SettingSix community healthcare centres in Xi'an City, Northwest China.ParticipantsA total of 2647 community dwelling older adults completed the study between March and August 2021.Primary and secondary outcome measuresThe primary outcome was the prevalence of frailty, measured with the Comprehensive Frailty Assessment Instrument. The secondary outcomes were potential factors associated with frailty, measured with a social-demographic and health-related information sheet, the Short-Form Mini-Nutritional Assessment and the Pittsburgh Sleep Quality Index.ResultsThe participants averaged 27.77±10.13 in the total score of the Comprehensive Frailty Assessment Instrument. According to the cut-off points defining the classification of frailty, the majority of the participants were with mild (n=1478, 55.8%) or high (n=390, 14.8%) frailty. Multivariate stepwise linear regression analysis demonstrated that older age, lower educational level, empty nesters, higher level of self-perceived medical burden, abnormal body weight, physical inactivity, medication taking, increased number of clinic visit, undernutrition and poor sleep quality are associated with higher total score in the Comprehensive Frailty Assessment Instrument, indicating higher level of frailty. Multivariate multinomial logistic regression analysis exhibited similar findings but further captured female gender as a risk factor for the presence of mild and high frailty compared with no-low frailty.ConclusionThe prevalence of the comprehensive frailty and frailty in the physiological, psychological, social and environmental domains is high. A variety of social-demographic, health-related and behavioural factors were associated with the comprehensive frailty. Further investigations on frailty prevalence and its associated factors based on comprehensive assessments are desirable.

Project description:BackgroundFalls among older adults is a common precipitating factor for unintentional injuries and represent a major health problem associated with increased morbidity, mortality, and health care cost in low-and-middle-income countries. The burden of fall in this population is well established in high-income countries and scant attention is given to this precipitating factor in low-and-middle-income countries, including Ethiopia. Therefore, this study aimed to estimate the prevalence and factors associated with fall among community-dwelling older adults in Ethiopia.MethodsA community-based cross-sectional study was conducted among community-dwelling older adults of Gondar. Multi-stage random sampling technique was used across administrative areas. Six hundred and five households were selected proportionally using systematic random sampling technique. Physical measurement and face to face interview method were employed using a structured questionnaire for data collection. Data were analyzed descriptively and through uni- and multivariate logistic regression model.ResultsOne hundred and seventy (n = 170, 28.4%; 95% CI 24.7-32.1) community-dwelling older adults reported having experienced fall in the past 12 months. Sex (OR = 1.91, 95% CI: 1.24-2.95), low educational status (OR = 2.37, 95% CI: 1.19-4.74), uncomfortable home environment (OR = 2.02, 95% CI: 1.34, 3.04), having diagnosed medical condition (OR = 4.659, 95% CI: 1.20-18.02), and use of medication (OR = 5.57, 95% CI: 1.19-26.21) were significantly associated risk factors of self-reported fall in the past 12 months. Most outdoor falls are associated with females and participants aged below 66 years.ConclusionIn conclusion, more than 1/4th of the community-dwelling older adults experienced at least one episode of fall and about 60% of them reported recurrent falls. Identifying risk group and risk factors that could be modified so as to prevent falls in older adults deserves attention. Outdoor falls are usually attributable to modifiable environmental aspects and improvements in outdoor environment needed.

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Dataset Information

Dementia Literacy among Community-Dwelling Older Adults in Urban China: A Cross-sectional Study.

Objective

Methods

Results

Conclusion

Publications

Dementia Literacy among Community-Dwelling Older Adults in Urban China: A Cross-sectional Study.

Similar Datasets

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