Related Experiment Video
Updated: Jan 25, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Cumulative Disadvantage in Education and Progression of Physical-Mental-Cognitive Multimorbidity: Evidence From 2
Junjie Cao1, Shijun Yang1, Chengchao Zhou2
1Department of Social Medicine and Health Management, School of Public Health, Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China.
Introduction:
Socioeconomic determinants such as education have been shown to be vital factors in multimorbidity progression among middle-aged and older adults. However, whether cumulative disadvantage in education is associated with multimorbidity progression remains unclear, particularly in cross-cultural contexts. This study aimed to investigate the progression of physical-mental-cognitive multimorbidity and to evaluate how cumulative disadvantage in education influenced its progression among Chinese and English populations.
Methods:
Data were extracted from the China Health and Retirement Longitudinal Study (2011-2020) and the English Longitudinal Study of Ageing (2011-2019). Cumulative disadvantage in education was measured by classification of educational years among core family members (participants, their parents, and spouse). Multimorbidity involved chronic conditions in physical-mental-cognitive domains, and its quantitative changes were identified through group-based trajectory modeling. Logistic regressions and competing risk models were used to examine the associations between educational disadvantages and multimorbidity trajectories.
Results:
A total of 13,278 participants aged ≥45 years were included. Four multimorbidity trajectories were identified: steady, slow growth, medium growth, and fast growth. Most individuals had severe educational disadvantage (45.46%) and physical-mental multimorbidity pattern (23.26%). Educational disadvantage was significantly associated with faster multimorbidity trajectories (p<0.001) and higher risks of complex multimorbidity patterns, particularly physical-mental-cognitive multimorbidity (p<0.001). Maternal education significantly influenced multimorbidity progressions in England (p<0.001) but not in China (p=0.100).
Conclusions:
It is important to monitor quantitative and pattern changes in multimorbidity among middle-aged and older adults holistically. Public health should prioritize individuals with educational disadvantages as well as their families to more effectively address multimorbidity management.
Related Concept Videos
The Evidence for Evolution
Cognitive Dissonance
Cumulative Frequency Distribution
National Nursing Organizations I
National Nursing Organizations II
The AACN emphasizes a healthy work environment through six standards to achieve an optimal patient outcome. The standards are appropriate staffing, meaningful recognition, collaboration, authentic leadership, effective communication, and decision-making. In addition, AACN provides certification programs, webinars, journals, and...
Physical and Chemical Properties of Matter

