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The effect of education level on depressive symptoms in Chinese older adults–parallel mediating effects of economic security level and subjective memory ability

Abstract

Background

Depression in older adults needs urgent attention. Increased education level may reduce depressive symptoms in older adults, and that economic security level and subjective memory ability may also have an impact on depressive symptoms in older adults, but the mechanisms between education level and depressive symptoms in older adults are unclear. This study endeavors to investigate the parallel mediating roles of economic security level and subjective memory ability between education level and depressive symptoms in older adults.

Methods

A total of 4325 older adults people aged 60 years and above were selected from the China Family Panel Studies (CFPS) as the study population, and all data were analyzed using SPSS 25.0 software. Spearman correlation analysis was used to explore the correlation between the variables. Model 4 from the SPSS macro was used to assess the parallel mediating role of economic security level and subjective memory ability in the relationship between education level and depressive symptoms in older adults.

Results

Education level, economic security level, and subjective memory ability were significantly associated with depressive symptoms in older adults (p < 0.01). Educational level was a negative predictor of depressive symptoms (β=-0.134, P < 0.001). Education level was a positive predictor of economic security level (β = 0.467, P < 0.001) and subjective memory ability (β = 0.224, P < 0.001). Education level, economic security level, and subjective memory ability were significant negative predictors of depressive symptoms (β= -0.039, P < 0.05; β= -0.122, P < 0.001; β= -0.169, P < 0.001). Education level influenced depressive symptoms through parallel mediating effects of economic security level and subjective memory ability, with mediating effects accounting for 42.70% and 28.30% of the total effect, respectively.

Conclusions

Education level not only directly influences depressive symptoms in older adults, but also indirectly through the economic security level and subjective memory ability. Educational level can reduce depressive symptoms in older adults by increasing their economic security level and enhancing their subjective memory ability. The findings of this study emphasize the importance of improving the educational level of the population as it affects people’s mental health in old age.

Peer Review reports

Introduction

Depression is a prevalent mental disorder among older adults. The global prevalence of depression in older adults is 28.4% [1], and the global prevalence of major depression reaches 13.3% [2]. The prevalence of depression among the older adults in China is high, reaching 25.55%, and the prevalence of depression tends to continue to increase over time [3]. The World Health Organization (WHO) ranked major depression as the third leading cause of the global burden of disease in 2008, and the disease is expected to rank first by 2030 [4]. Depression can be distressing for older adults, cause the breakdown of their families, and may lead to the worsening of existing illnesses and physical disability [5, 6]. Depression among the older adults should receive more attention in order to better achieve active aging and improve the physical health, mental health, and quality of life of the older adults.

Education level influences depressive symptoms in older adults, those with less education are at a higher risk of developing depressive symptoms [7,8,9]. Education represents people’s ability to access and use health information, and the level of education may have a greater impact on health than income or occupational status [10,11,12]. These results can be explained by the life course theory and the cumulative advantage/disadvantage theory. The life course theory, developed by Elder [13], emphasizes that the different life stages of a person are interconnected and that early life circumstances and experiences have long-term effects on the person [14, 15]. Cumulative advantage/disadvantage theory, on the other hand, suggests that early risk factors accumulate over the course of a person’s life and show their greatest impact later in life, meaning that early advantages or disadvantages are magnified over the life course [16, 17]. This shows that, a higher level of education is a lasting resource that produces advantages that accumulate over the course of life, increase happiness and joy in later life [18], and have a protective effect against depression throughout life [19]. Therefore, the effect of education level on depressive symptoms in older adults cannot be ignored.

Economic security is an important element of social security, retirement benefits, pension insurance and financial support from children are the main components of economic security for the older adults. Education level may affect the economic security level of the older adults. One study found that educated older adults being more likely to receive an occupational pension and receiving higher levels of benefits [20]. This may be due to the higher average income and social benefits of the educated population, and therefore their higher pension levels [21, 22]. Meanwhile, higher levels of pension can alleviate depression [23, 24], probably because pension receipt increases older adults’ confidence in the future [25, 26]. The marginal effect of pension receipt on enhancing mental health is stronger for older adults with poorer mental health [27], and pensions are most effective in alleviating depressive symptoms in older adults with low levels of education [28]. However, some scholars believe that a higher level of economic security may increase people’s depressive symptoms, which may be related to the specific countries and regions, cultural environment, sample population and other factors [29, 30].

Subjective memory is used to represent how individuals interpret, feel, or think about their memories, that is, the individual’s perception of memory performance [31]. The level of education may affect the subjective memory ability of the older adults. Education has a significant protective effect on memory capacity, with older adults with higher levels of education experiencing slower rates of memory decline [32]. Individuals with lower levels of education may be more likely to have memory deficits, and higher levels of education will reduce memory deficits associated with depressive symptoms [33]. Self-reported memory is important because it reflects the severity of depressive symptoms in older adults [34]. Lower memory ability at baseline survey was associated with worse levels of depressive symptoms at follow-up [35], suggesting that lower levels of memory ability may deepen depressive symptoms in older adults. In the older population, decreased subjective memory ability was associated with increased depression severity [36], educational interventions can improve memory loss in older adults and can alleviate their future depressive symptoms [37].

Currently, although the relationship between education level and depressive symptoms in older adults has been investigated, the mechanisms between these two variables are unclear. No scholars have studied the relationship between education level, economic security level, subjective memory ability, and depressive symptoms in older adults. Therefore, the main purpose of this study was to explore the relationship between education level and depressive symptoms in older adults, to examine the parallel mediating role of economic security level and subjective memory ability in this relationship. The theoretical framework of this study is shown in Fig. 1, and we examined the following three hypotheses:

Hypothesis 1

Educational level has a negative predictive effect on depressive symptoms in older adults.

Hypothesis 2

Economic security level mediates the relationship between education level and depressive symptoms in older adults.

Hypothesis 3

Subjective memory ability mediates the relationship between education level and depressive symptoms in older adults.

Fig. 1
figure 1

Parallel mediation model

Materials and methods

Data source and sample selection

The data for this study come from the China Family Panel Studies (CFPS), a biennial tracking survey conducted by the China Social Science Research Center at Peking University. The CFPS database collects data at the individual, household, and community levels, and investigates various aspects of Chinese residents’ economic activities, family relationships, and health status. CFPS officially launched the survey in 2010, with a sample covering 25 provinces/municipalities/autonomous regions in China. In this study, the contents of the individual-level questionnaire from the CFPS Round 5 survey in 2020 were selected for analysis, and older adults aged 60 years and above were chosen as the study population. The total number of samples in the 2020 CFPS database was 28,590, with 4,325 samples included after screening and the specific sample selection process is shown in Fig. 2.

Fig. 2
figure 2

Selection of study subjects

Measures

Education level

The independent variable studied in this paper is the educational level of the older adults, which is measured by the question in the questionnaire “What is the highest level of education you have completed (graduated)?” [22, 38]. According to the questionnaire responses, the answers were divided into five levels: “illiterate/semi-literate”, “elementary school”, “junior high school”, “high school”, and “college and above”, which were assigned a score of 1, 2, 3, 4, and 5, respectively, with higher scores indicating higher education levels [39, 40].

Depressive symptoms

The dependent variable studied in this paper was depressive symptoms in older adults. The 2020 CFPS questionnaire uses the CES-D8 to measure depressive symptoms in older adults [41]. The effectiveness of CES-D8 has been confirmed in previous studies [42]. SPSS analysis shows that Cronbach alpha of CES-D8 scale is 0.790, which indicates that the scale has good internal consistency reliability [43]. KMO value is 0.802, and P value in Bartlett’s Test of Sphericity is less than 0.001, which indicates that the scale has good validity [44]. The CES-D8 contains 8 questions related to depression, in which the respondents indicated the frequency of various feelings or behaviors in the past week according to their actual situation, and the answers were “hardly ever”, “some of the time”, “often”, and “most of the time”. Among these 8 questions, 2 positively stated questions scored 3 (hardly ever) to 0 (most of the time) and 6 negatively stated questions scored 0 (hardly ever) to 3 (most of the time) [8, 45]. The total score of the CES-D8 is 24, with higher scores indicating higher levels of depression; scale scores greater than or equal to 10 indicate a higher frequency of depressive symptoms in older adults [8, 46].

Economic security level

The level of economic security studied in this paper includes retirement benefits, pension insurance and financial support from children. The level of economic security is measured by the questionnaire questions “How much do you currently receive per month after tax, including your pension, various types of pension insurance and various allowances?” and “Please convert the gift into cash, how much did your children give you on average in cash in the past 6 months?” [47, 48]. The sum of the money answered in these two questions reflects the economic security level of the older adults.

Subjective memory ability

The subjective memory ability of older adults was measured by the questionnaire “How many major events that happened to you in the last week can you remember?” [49, 50]. The answers to this question included “can barely remember”, “can only remember a few”, “can remember half”, “can remember most”, and “can remember completely”, and were assigned a score of 1, 2, 3, 4, and 5, with higher scores indicating better subjective memory ability [51, 52].

Covariates

In this study, a number of confounding factors associated with depressive symptoms in older adults were selected as covariates [38, 39, 46, 53], including: age, gender, marital status, smoking status, alcohol consumption, neighborhood trust, and kinship. These variables were all measured by the 2020 CFPS individual-level questionnaire.

Statistical analyses

All data were analyzed by SPSS 25.0 software. Firstly, we launched a descriptive statistical analysis of the main study variables. Secondly, there was non-normally distributed data in the study variables, so we used spearman correlation analysis to explore the correlations between education level, economic security level, subjective memory ability, and depressive symptoms in older adults. Finally, we used Model 4 from the SPSS macro developed by Hayes [54,55,56] to assess the parallel mediating role of economic security level and subjective memory ability in the relationship between education level and depressive symptoms in older adults. Based on a random sample of 5000, a bootstrapping method was used to estimate 95% confidence intervals to test the significance of the mediating effect. The results were considered statistically significant when the 95% confidence interval did not contain 0 [57].

Results

Primary analyses

Table 1 is the descriptive statistical analysis results of the research population. Among the 4325 respondents included in this study, 2224 (51.4%) were men and 2101 (48.6%) were women. Respondents’ ages ranged from 60 to 95 years, with a mean age of 68.3 years (SD = 5.8). In terms of education level, 1,718 (39.7%) were illiterate or semi-literate, 970 (22.4%) had elementary school education, 942 (21.8%) had junior high school education, 563 (13.0%) had high school education, and 132 (3.1%) had college education and above. In terms of depressive symptoms, there were 792 (18.3%) older adults with a higher frequency of depressive symptoms. The median economic security level for the older adults is $125.8/month and the interquartile range is $329.6/month. Regarding the subjective memory ability of the older adults, 1268 (29.3%) could barely remember the main events that happened within a week, 761 (17.6%) could only remember a few, 1175 (27.2%) could remember half, 647 (15.0%) could remember most, and 474 (11.0%) could remember completely.

Table 1 Descriptive statistics (sample n = 4325)

The results of the correlation analysis are shown in Table 2. Educational level was significantly positively correlated with economic security level (ρ=-0.391, P < 0.01) and subjective memory ability (ρ = 0.241, P < 0.01), and significantly negatively correlated with depressive symptoms (ρ=-0.175, P < 0.01); depressive symptoms were significantly negatively correlated with economic security level (ρ=-0.216, P < 0.01) and subjective memory ability (ρ=-0.239, P < 0.01); economic security level was significantly positively correlated with subjective memory ability (ρ = 0.210, P < 0.01).

Table 2 Correlation analysis results

Parallel mediation analysis results

Table 3; Fig. 3 show the results of regression analysis in the mediating effect model. Under the control of gender, age, marital status, smoking status, alcohol consumption, neighborhood trust and kinship, the parallel mediating effect of economic security level and subjective memory ability between education level and depression symptoms of the older adults was tested. The results of model 1 show that education level has a significant negative predictive effect on depressive symptoms (β=-0.134, P < 0.001). The results of model 2 and model 3 show that, education level was a positive predictor of economic security level (β = 0.467, P < 0.001) and subjective memory ability (β = 0.224, P < 0.001). Model 4 adds education level, economic security level, subjective memory ability and depressive symptoms to the regression model. it was found that education level, economic security level, and subjective memory ability were significant negative predictors of depressive symptoms (β= -0.039, P < 0.05; β= -0.122, P < 0.001; β= -0.169, P < 0.001).

Table 3 Results of mediating-effect model
Fig. 3
figure 3

Parallel mediating roles of economic security level and subjective memory ability between education level and depressive symptoms in older adults. ***P < 0.001, *P < 0.05

Table 4 shows the results of the parallel mediated effects test with unstandardized effect values. The upper and lower limits of bootstrap 95% confidence intervals for the direct effect of education level on depressive symptoms and the mediating effect of economic security level and subjective memory ability did not include 0. This suggests that education level not only has a direct effect on depressive symptoms, but also has an effect through a parallel mediating effect of economic security level and subjective memory ability. The direct effect of education level on depression level was − 0.147, accounting for 28.99% of the total effect. The mediating effects of economic security level and subjective memory ability were − 0.217 and − 0.144, accounting for 42.70% and 28.30% of the total effect, respectively. The total mediating effect was − 0.361, accounting for 71.01% of the total effect.

Table 4 Total, direct and mediated effects

Discussion

Based on the 2020 CFPS database, this study explored the parallel mediating role of economic security level and subjective memory ability between education level and depressive symptoms in older adults. The results of the correlation analysis showed that the education level was positively correlated with the economic security level and subjective memory ability, and negatively correlated with depressive symptoms. The economic security level and subjective memory ability were negatively correlated with depressive symptoms. The results of parallel mediation tests showed that the economic security level and subjective memory ability mediated the relationship between education level and depressive symptoms in older adults. The education level may reduce depressive symptoms in older adults by increasing their economic security level and enhancing their subjective memory ability.

At present, the overall education level of Chinese elder people is low, nearly 40% of them are illiterate or semi-literate, and there is a large gap in education level among them. From the perspective of life course theory and cumulative advantage/disadvantage theory, these gaps in educational attainment during student years may affect people’s future work and social interactions, which in turn may have an impact on depressive symptoms in old age [10, 58]. The results of this study show that the mental health of the older adults in China is generally good. There are 18.3% older adults with high incidence of depressive symptoms, and some older adults score close to 24 on CES-D8 scale, which shows that the depression of these people needs urgent attention. The 18.3% prevalence of depressive symptoms among older adults in China is at an intermediate level. The older adults in different countries have different levels of depression, which may be related to the national conditions and social environment. The prevalence of depressive symptoms in adults in the United States is 7.3% [59], and the proportion of older adults aged 60 and over in the United States who are diagnosed with depression is 8.18% [60]. The prevalence of depression increases with age, reaching 13.9% among people in their 60s and 70s and 18.4% among people in their 80s or above in Korea [61]. The proportion of older adults with clinically significant depressive symptoms in Biljand, Iran is 19.94% [62]. The prevalence of depressive symptoms among the older adults in Vietnam is 20.2% [63]. Therefore, the 18.3% depression rate of the older adults in China needs attention, and we should actively find measures to reduce the depression of the older adults.

The present study explored the relationship between education level and depressive symptoms in older adults, and the results showed a significant negative predictive effect of education level on depressive symptoms in older adults, which is consistent with previous studies [7, 9, 64], and hypothesis 1 was supported. Education is an important component of socioeconomic status [65], and the results of this study suggest that there may be potential clinical implications of changing educational patterns. Some scholars have considered the dual effect of education level and family background on depressive symptoms in older adults, and they found that individuals with low education from poor family backgrounds exhibited the highest levels of depressive symptoms [66], which reminds the government to pay special attention to the depressive status of older adults with low education levels. As indicated by the cumulative advantage/disadvantage theory, although high levels of education have a weaker protective effect on depressive symptoms in early adulthood, they have a stronger protective effect on depressive symptoms in old age, and the effect of education level on depression increases over time [19]. Higher levels of education can not only prevent major depressive disorder, but also change its presentation to a more anxious phenotype [40]. The educational level of older adults may also affect the educational level of their children, which in turn may affect their children’s intergenerational support and ultimately their own depressive symptoms [67].

There has been no study that combines retirement benefits, pension insurance and financial support from children to explore the mediating role of the economic security level in the relationship between education level and depressive symptoms in older adults. The mediating role of economic factors between education level and depressive symptoms in older adults has been explored: the study of Lingli Li suggested that family economic factors play a crucial role between these two factors [39], the study of Xiwu Xu showed a mediating role of economic level between education and depression [38], Sandro Sperandei suggested a mediating role of income level between these two factors [68], and Yaolin Pei demonstrated the mediating role of children’s financial support between education and depressive symptoms in older adults [67]. This study found that the economic security level plays a mediating role between education level and depressive symptoms in older adults, with a mediating effect of 42.70%, and hypothesis 2 was supported. Higher levels of education increase the level of financial security, which in turn reduces depressive symptoms in older adults. Life course theory and cumulative advantage/disadvantage theory suggest that the different stages of a person’s life are interconnected. The early education level may influence people’s employment and income levels [11], and even their perceptions of medical care and pension insurance choices [21], which in turn increases the gap in the economic security level in later life. In contrast, higher economic security levels can reduce depressive symptoms by alleviating financial stress and increasing confidence in the future among older adults [23, 25].

In addition to the economic security level, this study also explored the mediating role of subjective memory ability. Subjective memory ability mediated the relationship between education level and depressive symptoms in older adults, with a mediating effect of 28.30%, and hypothesis 3 was supported. Higher education level enhances subjective memory ability, which in turn reduces depressive symptoms in older adults, which is similar to Xiwu Xu’s findings on the mediating role of cognitive level in older adults [38]. A possible biological explanation is that higher levels of education may improve cognition in the older adults, which in turn inhibits the expression of inflammatory cytokines and ultimately reduces the incidence of depression [39]. Based on cumulative advantage theory, early school education has exercised people’s cognitive and memory abilities [69, 70], and these mindfulness exercises may influence people’s memory and cognitive abilities in their later life. In contrast, higher subjective memory ability can guarantee the living standards and well-being of older adults [34], which in turn reduces depressive symptoms in older adults. The results of the parallel mediation analysis showed that in terms of the effect of education level on depressive symptoms, the economic security level showed a greater mediation effect than subjective memory ability, and higher education level was more able to reduce depressive symptoms in older adults by increasing the their economic security level.

The main contribution of this study is to further clarify the mechanism between education level and depressive symptoms in older adults. It also reveals the critical role of the economic security level and subjective memory ability in this relationship, which enriches the research on the relationship between education level and depressive symptoms in older adults. The parallel mediation model of this study is based on life course theory, cumulative advantage/disadvantage theory and previous empirical research. The total mediation effect of economic security level and subjective memory ability is -0.361, and the effect ratio is 71.01%. From this, it can be seen that the level of economic security and subjective memory ability play a strong intermediary role between education level and depression symptoms of the older adults, so the results of parallel intermediary analysis are scientific and reasonable. In addition, the baseline sample of CFPS database used in this study covers 25 provinces/municipalities/autonomous regions in China, representing 95% of the population in China, and the sample is highly representative [71]. This indicates that the results of this study are basically in line with the actual situation of Chinese older adults, and the findings are of practical significance for reducing the level of depression among older adults, as well as for research on depression among older adults in other countries.

However, there are also some limitations of this study. Firstly, our study was cross-sectional in design, which limits our interpretation of the causal relationship between education level and depressive symptoms in older adults. Future scholars can verify the mediating role of the economic security level and subjective memory ability through cohort studies, and can further consider the heterogeneity in terms of urban and rural areas, males and females. Secondly, due to data limitations, we chose subjective memory ability rather than objective cognitive test results as a mediating variable, which may have led to bias in the study results. Future scholars can use the scale test results related to older adults’ cognitive abilities to validate the findings of this study. Finally, we considered only two mediating variables. Future studies can continue to include more specific mediating variables to explore the relationship between education level and depressive symptoms in older adults, such as lifestyle and physical health. Scholars can also explore the intermediary role between education level and depression symptoms of the older adults based on the national conditions and population structure of different countries.

Conclusion

The results of this study suggest that education level not only directly influences depressive symptoms in older adults, but also indirectly through the economic security level and subjective memory ability. Education level may reduce depression in older adults by increasing their economic security level and enhancing their subjective memory ability. In this era of general improvement in people’s education level, it reminds policy makers to pay attention not only to people’s overall education level, but also to education equity. Making a balanced distribution of educational resources among regions can, to a certain extent, promote mental health equity in people’s old age.

Data availability

The raw data is publicly available at https://www.isss.pku.edu.cn/cfps/index.htm.

References

  1. Hu T, Zhao X, Wu M, Li Z, Luo L, Yang C, et al. Prevalence of depression in older adults: a systematic review and meta-analysis. Psychiatry Res. 2022;311:114511.

    Article  PubMed  Google Scholar 

  2. Abdoli N, Salari N, Darvishi N, Jafarpour S, Solaymani M, Mohammadi M, et al. The global prevalence of major depressive disorder (MDD) among the elderly: a systematic review and meta-analysis. Neurosci Biobehav Rev. 2022;132:1067–73.

    Article  PubMed  Google Scholar 

  3. Rong J, Ge Y, Meng N, Xie T, Ding H. Prevalence rate of depression in Chinese elderly from 2010 to 2019: a meta-analysis. Chin J Evidence-Based Med. 2020;20(01):26–31.

    Google Scholar 

  4. Malhi GS, Mann JJ, Depression. Lancet. 2018;392:2299–312.

    Article  PubMed  Google Scholar 

  5. Alexopoulos GS. Depression in the elderly. Lancet. 2005;365:1961–70.

    Article  PubMed  Google Scholar 

  6. Meng R, Yu C, Liu N, He M, Lv J, Guo Y, et al. Association of Depression with all-cause and Cardiovascular Disease Mortality among adults in China. JAMA Netw Open. 2020;3:e1921043.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Chrzastek Z, Guligowska A, Soltysik B, Pigłowska M, Borowiak E, Kostka J, et al. Association of Lower Nutritional Status and Education Level with the severity of depression symptoms in older Adults-A Cross Sectional Survey. Nutrients. 2021;13:515.

    Article  PubMed  PubMed Central  Google Scholar 

  8. von dem Knesebeck O, Pattyn E, Bracke P. Education and depressive symptoms in 22 European countries. Int J Public Health. 2011;56:107–10.

    Article  Google Scholar 

  9. Chlapecka A, Kagstrom A, Cermakova P. Educational attainment inequalities in depressive symptoms in more than 100,000 individuals in Europe. Eur Psychiatry. 2020;63:e97.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Lynch SM. Cohort and life-course patterns in the relationship between education and health: a hierarchical approach. Demography. 2003;40:309–31.

    Article  PubMed  Google Scholar 

  11. Lynch SM. Explaining life course and cohort variation in the relationship between education and health: the role of income. J Health Soc Behav. 2006;47:324–38.

    Article  PubMed  Google Scholar 

  12. Mirowsky J. Education, Social Status, and Health. New York: Transaction Pub; 2003.

    Google Scholar 

  13. Elder GH Jr. The life course as developmental theory. Child Dev. 1998;69(1):1–12.

    Article  PubMed  Google Scholar 

  14. Dannefer D. Age, the Life Course, and the sociological imagination: prospects for theory. 7th ed. San Diego: Academic; 2011.

    Google Scholar 

  15. Jones MS, Burge SW, Sharp SF, McLeod DA. Childhood adversity, mental health, and the perpetration of physical violence in the adult intimate relationships of women prisoners: a life course approach. Child Abuse Negl. 2020;101:104237.

    Article  PubMed  Google Scholar 

  16. Ross CE, Wu CL. Education, age, and the cumulative advantage in health. J Health Soc Behav. 1996;37:104–20.

    Article  CAS  PubMed  Google Scholar 

  17. Tobin SS. America’s Old Age Crisis: Public Policy and the two worlds of Aging. New York: Basic Books; 1982.

    Google Scholar 

  18. Murrell SA, Salsman NL, Meeks S. Educational attainment, positive psychological mediators, and resources for health and vitality in older adults. J Aging Health. 2003;15:591–615.

    Article  PubMed  Google Scholar 

  19. Bjelland I, Krokstad S, Mykletun A, Dahl AA, Tell GS, Tambs K. Does a higher educational level protect against anxiety and depression? The HUNT study. Soc Sci Med. 2008;66:1334–45.

    Article  PubMed  Google Scholar 

  20. Zhao R, Zhao Y. The gender pension gap in China. Fem Econ. 2018;24:218–39.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Zhang XH. Research on the Impact of Education Level on Health of the Elderly in China: Evidence from CHARLS Database. [Master dissertation, Shandong University]; 2021.

  22. Tamborini CR, Kim CH. Education and Contributory Pensions at work: disadvantages of the Less Educated. Soc Forces. 2017;95:1577–605.

    Article  Google Scholar 

  23. Sasaki I, Kondo K, Kondo N, Aida J, Ichikawa H, Kusumi T, et al. Are pension types associated with happiness in Japanese older people? JAGES cross-sectional study. PLoS ONE. 2018;13:e0197423.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Wang F, Zheng H. Do Public Pensions Improve Mental Wellbeing? Evidence from the New Rural Society Pension Insurance Program. Int J Environ Res Public Health. 2021;18:2391.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Zhou M, Sun X, Huang L. Does Social Pension Expansion relieve depression and decrease medical costs? Evidence from the Rural Elderly in China. Int J Public Health. 2022;67:1604296.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Wu Y. Study on the impact of Retirement pension on Health of the Elderly——analysis based on CLHLS data. [Bachelor dissertation, Zhongnan University]; 2019.

  27. Zhang D, Wang Y, Jiao Y. The Impact of Social Pension Schemes on the Mental Health of the Chinese Elderly: a mediating Effect Perspective of two-way intergenerational support. Int J Environ Res Public Health. 2022;19:8721.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Chen X, Wang T, Busch SH. Does money relieve depression? Evidence from social pension expansions in China. Soc Sci Med. 2019;220:411–20.

    Article  PubMed  Google Scholar 

  29. Liu Q, Teng CC, Sun I, Muñoz RF, Garza M, Liu NH, et al. Suicide attempts in the absence of depression: differences between broad cultural groups. J Affect Disord. 2024;356:722–7.

    Article  PubMed  Google Scholar 

  30. Kim EY, Jeong YW, Lim J, Kang DR. Factors related to suicidal ideation by gender and Age Group in Korean adults. J Korean Med Sci. 2023;38(49):e376.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Mogle JA, Hill N, McDermott C. Subjective memory in a National Sample: Predicting Psychological Well-Being. Gerontology. 2017;63:460–8.

    Article  PubMed  Google Scholar 

  32. Staff RT, Hogan MJ, Whalley LJ. The influence of childhood intelligence, social class, education and social mobility on memory and memory decline in late life. Age Ageing. 2018;47:847–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. McLaren ME, Szymkowicz SM, Kirton JW, Dotson VM. Impact of education on memory deficits in subclinical depression. Arch Clin Neuropsychol. 2015;30:387–93.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Csabi E, Hallgato E, Volosin M. The association between metamemory, subjective memory complaints, mood, and well-being: the Hungarian validation of multifactorial memory questionnaire. Cogn Res. 2023;8:15.

    Article  Google Scholar 

  35. Yu J, Lim H-Y, Abdullah FNDM, Chan H-M, Mahendran R, Ho R, et al. Directional associations between memory impairment and depressive symptoms: data from a longitudinal sample and meta-analysis. Psychol Med. 2018;48:1664–72.

    Article  PubMed  Google Scholar 

  36. Brailean A, Steptoe A, Batty GD, Zaninotto P, Llewellyn DJ. Are subjective memory complaints indicative of objective cognitive decline or depressive symptoms? Findings from the English Longitudinal Study of Ageing. J Psychiatr Res. 2019;110:143–51.

    Article  PubMed  Google Scholar 

  37. Bhang I, Mogle J, Hill N, Whitaker EB, Bhargava S. Examining the temporal associations between self-reported memory problems and depressive symptoms in older adults. Aging Ment Health. 2020;24:1864–71.

    Article  PubMed  Google Scholar 

  38. Xu X, Zhou Y, Su D, Dang Y, Zhang X. Does Education Influence Life-Course Depression in Middle-aged and Elderly in China? Evidence from the China Health and Retirement Longitudinal Study (CHARLS). Int J Environ Res Public Health. 2023;20:1256.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Li L, Sun W, Luo J, Huang H. Associations between education levels and prevalence of depressive symptoms: NHANES (2005–2018). J Affect Disord. 2022;301:360–7.

    Article  PubMed  Google Scholar 

  40. Shi J, Zhang Y, Liu F, Li Y, Wang J, Flint J, et al. Associations of educational attainment, occupation, social class and major depressive disorder among Han Chinese women. PLoS ONE. 2014;9:e86674.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Radloff LS, The CES-D, Scale. A self-report Depression Scale for Research in the General Population. Appl Psychol Meas. 1977;1:385–401.

    Article  Google Scholar 

  42. Cao D, Zhou Z, Liu G, Shen C, Ren Y, Zhao D, et al. Correction: does social capital buffer or exacerbate mental health inequality? Evidence from the China Family Panel Study (CFPS). Int J Equity Health. 2022;21(1):95.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Arza-Moncunill E, Agustín RM, Medina-Mirapeix F. Measuring and describing perceived quality on physiotherapy practice management software. Int J Med Inf. 2024;185:105406.

    Article  Google Scholar 

  44. Xing H, Liu N, Li K, Cui G, Biering-Sørensen F. Translation and validation of the Chinese self-report version of spinal cord independence measure (SCIM-SR): Rasch psychometric analysis and online application. Comput Struct Biotechnol J. 2024;24:258–63.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Xin Y, Ren X. Social Capital as a mediator through the Effect of Education on Depression and obesity among the Elderly in China. Int J Environ Res Public Health. 2020;17:3977.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Dudal P, Bracke P. Absolute and relative educational inequalities in depression in Europe. Int J Public Health. 2016;61:787–95.

    Article  PubMed  Google Scholar 

  47. Wu Y, Dong W, Xu Y, Fan X, Su M, Gao J, et al. Financial transfers from adult children and depressive symptoms among mid-aged and elderly residents in China - evidence from the China health and retirement longitudinal study. BMC Public Health. 2018;18:882.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Zhao J, Wen X. How does Pension influences the Health inequity of the Elderly. Mod Economic Res. 2022;(08):62–75.

  49. Peters R, Beckett N, Antikainen R, Rockwood K, Bulpitt CJ, Anstey KJ. Subjective memory complaints and incident dementia in a high risk older adult hypertensive population. Age Ageing. 2019;48:253–9.

    Article  CAS  PubMed  Google Scholar 

  50. van Oijen M, de Jong FJ, Hofman A, Koudstaal PJ, Breteler MMB. Subjective memory complaints, education, and risk of Alzheimer’s disease. Alzheimers Dement. 2007;3:92–7.

    Article  PubMed  Google Scholar 

  51. Jones JW, Fauth EB, Ernsth Bravell M, Johansson B, Ledermann T. Longitudinal correspondence between subjective and objective memory in the oldest old: a parallel process model by gender. Eur J Ageing. 2019;16:317–26.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Meyer OL, Leggett A, Liu S, Nguyen NH. Prevalence and correlates of subjective memory complaints in Vietnamese adults. Int Psychogeriatr. 2018;30:1039–48.

    Article  PubMed  Google Scholar 

  53. Wang W, Dong Y, Liu X, Zhang L, Bai Y, Hagist S. The more educated, the healthier: evidence from Rural China. Int J Environ Res Public Health. 2018;15:2848.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Hayes AF, PROCESS. A Versatile Computational Tool for Mediation, Moderation, and conditional process analysis. New York: Guilford Press; 2012.

    Google Scholar 

  55. Chang K, Li X, Zhang L, Zhang H. A double-edged impact of Social Smartphone Use on Smartphone Addiction: a parallel mediation model. Front Psychol. 2022;13:808192.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Kong F, Wang M, Zhang X, Li X, Sun X. Vulnerable narcissism in Social networking sites: the role of Upward and Downward Social comparisons. Front Psychol. 2021;12:711909.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008;40:879–91.

    Article  PubMed  Google Scholar 

  58. Chen Y, Guo M, Xu H, Liu Z, Barry LC, Wu C. Association between early life circumstances and depressive symptoms among Chinese older adults: results from China health and retirement longitudinal study: early life circumstances and depression. J Affect Disord. 2021;292:345–51.

    Article  PubMed  Google Scholar 

  59. Zhang C, Hou B, Xu Y, Zeng S, Luo X, Zhang B. Association between eicosapentaenoic acid consumption and the risk of depressive symptoms in US adults: analyses from NHANES 2005–2018. J Affect Disord. 2024;354:62–7.

    Article  CAS  PubMed  Google Scholar 

  60. Wu Q, Yan Y, La R, Zhang X, Lu L, Xie R, et al. Association of reproductive lifespan and age at menopause with depression: data from NHANES 2005–2018. J Affect Disord. 2024;356:519–27.

    Article  PubMed  Google Scholar 

  61. Kim SH, Kim H, Jeong SH, Park EC. Association of the Type of Public Pension with Mental Health among South Korean older adults: longitudinal observational study. JMIR Public Health Surveill. 2024;10:e49129.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Nazari T, Moodi M, Fakhrzadeh H, Khodabakhshi H, Khorashadizadeh M, Arzaghi SM, et al. The association of depressive symptoms with handgrip strength and gait speed in community-dwelling older adults: data from the baseline phase of Birjand Longitudinal Aging Study. BMC Geriatr. 2024;24(1):393.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Nguyen NT, Nguyen T, Bui TD, Giang LT. Depression and associated factors among older people in Vietnam: findings from a National Aging Survey. PLoS ONE. 2024;19(5):e0299791.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Kim B-S, Lee D-W, Bae JN, Chang SM, Kim S, Kim KW, et al. Impact of illiteracy on depression symptomatology in community-dwelling older adults. Int Psychogeriatr. 2014;26:1669–78.

    Article  PubMed  Google Scholar 

  65. Jones DP, Wootton RE, Gill D, Carter AR, Gunnell D, Munafò MR, et al. Mental Health as a Mediator of the Association between Educational Inequality and Cardiovascular Disease: a mendelian randomization study. J Am Heart Assoc. 2021;10:e019340.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Schaan B. The interaction of family background and personal education on depressive symptoms in later life. Soc Sci Med. 2014;102:94–102.

    Article  PubMed  Google Scholar 

  67. Pei Y, Cong Z, Wu B. Education, adult children’s education, and depressive symptoms among older adults in rural China. Soc Sci Med. 2020;253:112966.

    Article  PubMed  Google Scholar 

  68. Sperandei S, Page A, Spittal MJ, Pirkis J. Low education and mental health among older adults: the mediating role of employment and income. Soc Psychiatry Psychiatr Epidemiol. 2023;58:823–31.

    Article  PubMed  Google Scholar 

  69. Kosmidis MH, Zafiri M, Politimou N. Literacy versus formal schooling: influence on working memory. Arch Clin Neuropsychol. 2011;26:575–82.

    Article  PubMed  Google Scholar 

  70. Zhang W, Tang F, Chen Y, Silverstein M, Liu S, Dong X, Education. Activity Engagement, and cognitive function in US Chinese older adults. J Am Geriatr Soc. 2019;67:S525–31.

    Article  PubMed  Google Scholar 

  71. Peking University Open Research Data Platform. CFPS User’s Manual (3rd Edition). https://opendata.pku.edu.cn/file.xhtml?fileId=1300&datasetVersionId=1137. Accessed 8 May 2024.

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Acknowledgements

The authors are grateful for the data provided by the China Family Panel Studies (CFPS) conducted by the China Center for Social Science Research at Peking University. The authors thank all the editors and reviewers.

Funding

This study was supported by the Shandong Provincial Natural Science Foundation, China (ZR2023MG050).

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RZ conceived and designed the manuscript, ran the software, analyzed and interpreted the results, and wrote the first draft of the manuscript. JW proofread the final draft and controlled the quality of the articles. JL, ML, and JD revised the manuscript, proofread the manuscript and processed the figures and tables. DH and HF assist with literature searches and data organization. All authors contributed to the article and approved the submitted version.

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Correspondence to Jian Wang.

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The studies involving human participants were reviewed and approved by Peking University Biomedical Ethics Review Committee (IRB00001052-14010). All participants (including minor and illiterate) provided their written informed consent to participate in this study. Informed consent was obtained from their parents/ Legal guardians. All methods were carried out in accordance with relevant guidelines and regulations for research ethics.

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Zhao, R., Wang, J., Lou, J. et al. The effect of education level on depressive symptoms in Chinese older adults–parallel mediating effects of economic security level and subjective memory ability. BMC Geriatr 24, 635 (2024). https://doi.org/10.1186/s12877-024-05233-5

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