The Association between Social Support and Cognitive Impairment among the Urban Elderly in Jinan, China

Jiang, Feng; Kong, Fanlei; Li, Shixue

doi:10.3390/healthcare9111443

Cited by 6 publications

(4 citation statements)

References 47 publications

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“…Nationwide data in China conducted among 46011 [21] , 21732 [39] and 3768 [40] samples in 2018 also showed prevalence rates of 15.0%, 17.8% and 22.4%, respectively, which were signi cantly lower than those of our study. A similar result was presented in other epidemiological studies in eastern [41] and northern China [42][43] . Qin et al [40] also analyzed prevalence across regions and found that the rate of cognitive impairment among older adults in the southwest region was 29.94%, which was the highest of all regions.…”

Section: Discussionsupporting

confidence: 91%

Prevalence and related factors for physical function and cognitive impairment among older adults in southern China: A population-based regional cross-sectional study

Zhang,

Cui,

Chen

et al. 2023

Preprint

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As the country with the largest and fastest-aging older population worldwide, China has hosted an increasing number of regional investigations of disability in older adults. However, the disability prevalence related to physical function and cognition in southern China is unknown. This study aimed to determine the prevalence of and associated factors for cognitive and physical-function impairment in persons 60 years or older. For this population-based cross-sectional study design, a total of 5603 participants were recruited between June 2021 to December 2022, using multistage, stratified, cluster-sampling procedure. Instruments including general questionnaire, basic and instrumental activities of daily life, Chinese version of mini-mental state examination, patient health questionnaire-9 and generalized anxiety disorder-7 were used to collect data in the form of WetChat mini program. Binary and multivariate logistic regression analysis were applied to explore the influencing factors. The prevalence of physical function and cognitive impairment in older adults was 37.3% and 31.0%, respectively. Multivariate regression analyses revealed that age, family income, education level, place of residence, medication type, annual physical examination, weekly social activities, care from family or friends, hearing disorder, walking disorder and depression were all associated with physical function and cognitive impairment. Moreover, an increased risk of physical function impairment was associated with BMI, region, income source, smoking and weekly exercise, and cognitive impairment was associated with the number of children, insurance type, coronary heart disease and anxiety. Physical function (OR: 1.79, 95%CI: 1.49, 2.16) and cognitive impairment (OR: 1.83, 95%CI: 1.51, 2.21) were mutually influenced in our study. This study showed a high prevalence of and several related factors for physical function and cognitive impairment in Guangdong Province. The results revealed that comprehensive and systematic prevention and control programs for disability should be established to improve the quality of life of older adults.

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Section: Discussionsupporting

confidence: 91%

Prevalence and related factors for physical function and cognitive impairment among older adults in southern China: A population-based regional cross-sectional study

Zhang,

Cui,

Chen

et al. 2023

Preprint

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“…In the present study, the prevalence of CI in the middle-aged and elderly populations in Anhui Province was 12.6%, which is lower than the prevalence of CI in Jinan City and other regions. 19,23 The results of the multifactorial logistic analysis in this study concluded that female sex, older age, family history, low literacy, smoking, sleep disorders, hypertension, stroke, and diabetes mellitus were independent risk factors for CI. At the same time, exercise was an independent protective factor.…”

Section: Discussionmentioning

confidence: 62%

“…18 The estimated prevalence of MCI in people aged 60 years or older in four major cities in Hebei Province in 2014 was 21.3%, compared with 20.1% in urban communities in China. 19 The prevalence of dementia in people aged 60 years or older in communities in Chongqing City in 2018 was 10.44%, compared with 2.8% in Jiangxi Province. 20,21 Meanwhile, a recent study pointed out that the standardized prevalence of dementia in people over 65 in Hubei, Hebei, and Tianjin was 8.93%, 12.03%, and 7.78%, respectively.…”

Section: Discussionmentioning

confidence: 99%

Cognitive Impairment and Associated Factors in Middle-aged and Elderly Individuals in Anhui Province, China

Cui

Zhai

et al. 2023

Preprint

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Background The prevalence rate of CI among middle-aged and elderly individuals in Anhui Province was 12.6%. Female sex, elderly age, family history, low educational status, current smoking status, sleep disorders, hypertension, stroke, and diabetes were shown to be risk factors for CI, while exercise was shown to be a protective factor. Methods From May to June 2022, a multistage, stratified cluster-sampling method was used to select 3200 middle-aged and elderly people over 45 years old in Anhui Province for a questionnaire survey, and the Chinese version of the Mini-Mental State Examination (MMSE) was used to assess cognitive function. SPSS 25.0 was used for univariate and multivariate analyses, and R software was used to establish and validate the nomogram. Results A total of 3059 valid questionnaires were included, of which 384 were from participants who were diagnosed with CI, and the prevalence rate was 12.6%. Multivariate logistic analysis showed that female sex, advanced age, family history, etc., were closely related to the occurrence of CI. The AUC values in the modeling and validation groups were 0.845 (95% CI: 0.822-0.868) and 0.868 (95% CI: 0.835-0.902), respectively, indicating that the predictive ability of the model was good. The Hosmer‒Lemeshow test suggested that the model had good goodness-of-fit, and the decision-curve evaluation nomogram had a high benefit within the threshold, which had a certain clinical importance.

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“…In the construction of the index system of social participation, 10 activities in the CLHLS questionnaire are selected. According to the research of Wei [16] and Wang [17], social participation can be divided into cognitive activities, physical activities, and social activities. Selecting "read newspapers/books", "play cards/mah-jong" and "watching TV and listen to radio", three questions represent cognitive activities.…”

Section: Measurements 221 Dependent Variablesmentioning

confidence: 99%

Trajectories of Social Participation and Its Predictors in Older Adults: Based on the CLHLS Cohorts from 2002 to 2018

Zhang

Zhao

Chen

et al. 2023

IJERPH

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Social participation is a key factor in achieving active aging. This study aimed to explore the trajectories and predictors of social participation changes among older adults in China. The data used in this study are from the ongoing national longitudinal study CLHLS. A total of 2492 older adults from the cohort study were included. Group-based trajectory models (GBTM) were used to identify potential heterogeneity in longitudinal changes over time and investigate associations between baseline predictors and trajectories for different cohort members using logistic regression. Four different trajectories of social participation were reported in older adults, namely, stable (8.9%), slow decline (15.7%), lower score with decline (42.2%), and higher score with decline (9.5%). On multivariate analyses, age, years of schooling, pension, mental health, cognitive function, instrumental activities of daily living, and initial social participation scores significantly impact the rate of change in social participation over time. Four trajectories of social participation were identified in the Chinese elderly population. Management of mental health, physical function, and cognitive function appear to be important in maintaining the long-term social participation of older people in the community. Early identification of factors influencing the rapid decline in social participation and timely interventions can maintain or improve social participation levels in older adults.

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The Association between Social Support and Cognitive Impairment among the Urban Elderly in Jinan, China

Cited by 6 publications

References 47 publications

Prevalence and related factors for physical function and cognitive impairment among older adults in southern China: A population-based regional cross-sectional study

Prevalence and related factors for physical function and cognitive impairment among older adults in southern China: A population-based regional cross-sectional study

Cognitive Impairment and Associated Factors in Middle-aged and Elderly Individuals in Anhui Province, China

Trajectories of Social Participation and Its Predictors in Older Adults: Based on the CLHLS Cohorts from 2002 to 2018

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