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International Journal of
            Population Studies                                         Health disparities and older adults well-being in China



            compared to living in rural areas. Moreover, the estimated   In this study, we aimed to analyze the health status
            coefficients of explanatory variables reveal differences in   of older adults from three different perspectives.
            cognitive abilities even among the older adults residing in   Irrespective of the specific health status being evaluated,
            cities,  depending on  their  household  registration  status.   we incorporated two dummy variables into each regression
            In essence, household registration reflects the cumulative   model: (i)   whether the household has savings and (ii)
            effects of socioeconomic status throughout the life cycle,   whether the household is located in the Yangtze River
            contributing to health disparities.                Delta or the Pearl River Delta region. Our empirical results
              Regarding Communist Party of China membership,   indicate that having savings has a statistically significant
            older-aged party members demonstrate superior cognitive   positive effect  on  the  health  condition  of  the  Chinese
            abilities compared to non-party members. In China, both   older adults, regardless of their health status. In addition,
            the health-care system and social welfare system prioritize   the dummy variable for developed regions demonstrates
            the members of the Communist Party of China, signifying
            an aristocratic status among party members in Chinese   Table 5. Estimated results concerning physical, mental, and
            society, particularly the old-age. In addition, most of those   cognitive health (ADLs≥1, IADLs≥1, CESD≥10, MMSE≤23)
            who manage to become party members originate from the   Variables                     Model 7
            elite class in society. To investigate the impact of physical                    Coefficient  SE
            and mental health on cognitive health, we extended model
            5 by incorporating two new explanatory variables to form   Age                        0.080  0.006***
            model 6: IADLs and CESD. These variables represent   Age square                    −0.001  0.000***
            physical health and mental health, respectively. The results   Gender                 0.011  0.008
            obtained from model 6 indicate that both health variables   Married                   0.033  0.028
            have statistically significant and positive effects on the   One-person household     −0.003  0.028
            cognitive ability of the older adults. Notably, physical health   Education level
            has a particularly significant effect on cognitive ability.
                                                                Illiterate (reference)
              Finally, our analysis of physical, mental, and cognitive   Did not finish primary school        0.038  0.010***
            health (Table 5) revealed that the explanatory variable   Elementary school           0.109  0.011***
            “age” and its quadratic term both have statistically
            significant effects. In addition, most of the socioeconomic   Middle school            0.161  0.012***
            variables,  including  education  level,  household  location,   High school           0.214  0.015***
            and  Communist  Party  of  China  membership,  also  exert   College degree and above         0.299  0.035***
            a statistically significant effect on physical, mental,   Household location
            and  cognitive  health.  Next,  we  made  a prediction  of   Rural residence with urban household
            the dependent variable while keeping other conditions   registration (reference)
            constant in Model 7. As people age, the predicted health   Urban residence with rural         0.019  0.019
            ratio  initially increases  (predicted  dependent  variable).   household registration (1,1)
            However, this trend reverses around 72 years old. Figure 9   Urban residence with urban         0.112  0.018***
            visually illustrates this trend, showing a sharp drop in the   household registration (1,0)
            health ratio, especially after the age of 85, when the older   Rural residence with rural household      −0.027  0.016*
            adults enter the “oldest old” age category.           registration (0,1)
                                                               Communist Party of China member        0.056  0.012***
                                                               Having savings                     0.078  0.008***
                                                               Living in the Yangtze River Delta or         0.040  0.013***
                                                               Pearl River Delta districts
                                                               Constant                        −2.839  0.200***
                                                               Number of observations             8,396
                                                               Adjusted R squared                 0.161
                                                               Note: ***Statistical significance at the 1% level. **Statistical significance
                                                               at the 5% level. *Statistical significance at the 10% level.
                                                               Abbreviations: ADLs: Activities of daily living; CESD: Center for
                                                               Epidemiological Studies Depression Scale; IADLs: Instrumental
                                                               activities of daily living; MMSE: Mini-mental state examination;
            Figure 9. Predicted healthy ratio of older adults in China  SE: Standard error.


            Volume 11 Issue 4 (2025)                        95                        https://doi.org/10.36922/ijps.2035
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