Publications by authors named "Chaoping Pan"

Background: Social support can have health benefits but may also pose risks for the elderly, particularly those facing conflicts and network disruptions. Understanding the short and long-term mental health effects, especially in elderly individuals with chronic illnesses, is crucial due to global depression concerns. Yet, research is limited, with gaps in exploring different social disruption scenarios and lacking comprehensive multi-period data analysis.

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Background: Social isolation (SI), loneliness, and cognitive function (CF) are increasingly acknowledged as significant public health concerns globally. In this study, we aimed to investigate the bidirectional relationships and mediating effects between SI, loneliness, and CF among older adults in China.

Methods: We analysed data from six waves of the Chinese Longitudinal Healthy Longevity Survey conducted between 2002-18.

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Objective: This study aimed to investigate the bidirectional and dynamic relationships between Social Isolation (SI) and frailty among older adults in China.

Methods: Using data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), this study utilized a Generalized Cross-Lagged Model (GCLM) to examine the temporal interrelationships between SI and frailty among individuals aged 65 years and older.

Results: The findings revealed significant bidirectional associations between SI and frailty among older adults in China.

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Article Synopsis
  • The study examines the relationship between social isolation (SI) and multimorbidity (having multiple health issues) in older Chinese adults, using data from 2002 to 2018.
  • Researchers found that in the short-term, increased SI links to greater future multimorbidity and vice versa, but in the long-term, previous multimorbidity tends to lead to higher SI levels.
  • The findings emphasize that initial health conditions (multimorbidity) are more likely to influence later experiences of social isolation in older adults.
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Objectives: This study aimed to investigate the bidirectional associations and temporal dynamics between social isolation (SI) and loneliness among older adults.

Design: This is a prospective cohort study.

Setting And Participants: With the global phenomenon of population aging, there has been a significant increase in the prevalence of SI and loneliness among older adults.

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Article Synopsis
  • The study investigated how Social Isolation (SI), loneliness, and disability are interconnected among older Chinese adults, highlighting that SI is a stronger predictor of disability than loneliness.
  • Utilizing data from over 50,000 older adults over 16 years, the research indicates that accumulative disadvantages from SI can lead to increased disability, which in turn can elevate feelings of isolation and loneliness.
  • The findings emphasize the importance of reducing SI through early interventions to prevent future disability and improve overall well-being in older adults.
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Background And Objectives: Social isolation (SI) and loneliness are key factors that contribute to frailty among older adults. Current estimates regarding how frailty affects SI and loneliness and how SI and loneliness affect frailty may be flawed due to reverse causality. This study aimed to investigate the bidirectional relationships and mediating effects among SI, loneliness, and frailty among older adults in China.

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Background: Social isolation and disability in performing activities of daily living are increasingly recognised as significant public health concerns globally. We aimed to investigate their bidirectional associations and the related temporal dynamics in Chinese older adults.

Methods: We retrieved data from the six waves of the Chinese Longitudinal Healthy Longevity Survey (2002-18) and used generalised cross-lagged modelling (GCLM) to assess the bidirectional associations between social isolation and disability in performing activities of daily living.

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Article Synopsis
  • - This study examines social isolation and low social support in Chinese older adults, analyzing data from the Chinese Longitudinal Healthy Longevity Survey over 13 years (2005-2018) using various statistical methods.
  • - Researchers identified five distinct patterns of social isolation and low support, as well as three typical frailty trajectories among older adults, revealing that these patterns significantly relate to the trajectories of frailty.
  • - To enhance the health of older adults, it’s recommended that initiatives like Healthy China 2030 focus on the relationship between social isolation and low social support.
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Article Synopsis
  • The study examined how social participation (SP) and depression develop together among older adults, using data from the China Health and Retirement Longitudinal Study over seven years.
  • Researchers found distinct patterns, identifying two types of SP and three types of depression trajectories, and confirmed that changes in SP were linked to changes in depression across different groups.
  • The findings suggest that interventions should target vulnerable groups, like those with high depression and low SP, while also addressing shared risk factors that affect both issues.
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This study aimed to examine whether the implementation of Long-Term Care Insurance (LTCI) policy could reduce the disability among middle-aged and older adults in China, and to test the heterogeneity of the effects. Data came from four waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011 to 2018). The Difference-In-Differences (DID) method and the panel data fixed effect model were used to estimate the effect of implementation of LTCI policy on disability among individuals aged 45 years and above.

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Objective: This study aimed to examine age and cohort trends in disability among Chinese older adults and explore the disablement process factors that may explain the cohort trends in disability.

Methods: This study used data from five waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). A hierarchical logistic growth model was used to analyze the A-P-C effects and the contributors of cohort trends.

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This study aimed at exploring gender disparity in disability and identifying related disablement process factors among Chinese oldest-old. Data came from eight waves of the Chinese Longitudinal Healthy Longevity Study (CLHLS). A hierarchical logistic Age-Period-Cohort (A-P-C) model was used to estimate the trend of gender disparity, and related disablement process factors were further decomposed by the Oaxaca-Blinder decomposition.

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This study aimed to identify the multi-trajectories of 3-D health of older adults in China and to explore whether the childhood predictors are associated with 3-D health trajectory. Data came from five waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011 to 2018). A multi-trajectory modeling approach was carried out to jointly estimate the trajectories of 3-D health.

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