Association between sarcopenia and frailty in middle-aged and elder population: Findings from the China health and retirement longitudinal study.

Background: The relationship between sarcopenia and frailty among middle-aged and elder adults remains unclear. This study conducted a cross-sectional and longitudinal analysis to investigate the association of sarcopenia and frailty in the middle-aged and elder Chinese population. Methods: Our data were drawn from the China Health and Retirement Longitudinal Study. Sarcopenia status was assessed according to the Asian Working Group for Sarcopenia 2019 criteria and categorised into: no sarcopenia, possible sarcopenia, sarcopenia, and severe sarcopenia. A 38-item deficit-accumulation frailty index was constructed to assess frailty trajectories at each visit. Generalised linear regression models were performed to analyse the cross-sectional associations between sarcopenia and frailty index. The Group-based trajectory modelling was adopted to identify potential frailty trajectories, and we then examined the associations of sarcopenia and frailty trajectories using logistic regression analysis. Results: A total of 13 218 participants were enrolled in the cross-sectional analysis and 4200 individuals were included in the longitudinal study. The cross-sectional study found that possible sarcopenia (regression coefficient (ß) = 0.76; 95% confidence interval (CI) = 0.64-0.87, P < 0.001), sarcopenia (ß = 0.56; 95% CI = 0.37-0.75, P < 0.001) and severe sarcopenia (ß = 1.35; 95% CI = 0.97-1.73, P < 0.001) were significantly associated with higher frailty index. The longitudinal study indicated that participants with possible sarcopenia (odds ratio (OR) = 2.46; 95% CI = 1.77-3.42, P < 0.001), sarcopenia (OR = 1.87; 95% CI = 1.27-2.74, P < 0.001) and severe sarcopenia (OR = 6.57; 95% CI = 3.14-13.77, P < 0.001) had a higher risk of accelerated progression of frailty compared to those with no sarcopenia. Conclusions: Possible sarcopenia, sarcopenia, and severe sarcopenia were associated with higher levels of frailty and accelerated progression of frailty. Therefore, clinical medical professionals should pay more attention to frailty status in individuals who have possible sarcopenia and sarcopenia.

Impact of eliminating retirement earnings test on labor supply and pension benefit claims.

This study explores the hypothetical elimination of Japan's retirement earnings test (ET) for public pensions, focusing on its implications for older workers' labor supply and pension-claiming behaviors. The ET currently reduces public pension benefits for individuals aged 65 and older if their earnings exceed specified thresholds, potentially discouraging employment in this demographic. Notably, the Japanese ET influences both immediate and future pension benefits, thus diminishing current payouts for working pensioners and foregoing beneficial actuarial adjustments-adjustments based on actuarial calculations that would otherwise increase future benefits to account for delayed pension claims. This dual impact may discourage the labor supply and influence pension-claiming behavior among older workers. Through a survey-based experiment with male workers aged 40-59 years expected to face the ET upon retirement, we assess three reform scenarios as the first study in the literature: (1) eliminating future benefit reductions through actuarial adjustments, thereby enhancing the value of deferred pension claims; (2) removing immediate benefit suspensions to increase current pension payments directly; and (3) a comprehensive reform combining both approaches. Our findings reveal that eliminating reductions through actuarial adjustments increases the intensive margin (labor hours and income) and encourages delayed pension claims. Conversely, removing immediate benefit suspensions influences both the extensive margin (decision to work) and the intensive margin but leads to earlier pension claims. By highlighting the importance of differentiating between immediate and future benefit components in designing ET reforms, this study demonstrates their significant impact on labor supply and pension-claiming decisions.

Effect of multimorbidity on depressive status in older Chinese adults: evidence from the China Health and Retirement Longitudinal Study (CHARLS).

OBJECTIVE: This study aims to further explore the relevant influencing factors of depression and explore the correlation between multimorbidity coexistence and depression to find the goals and methods of early intervention of depression in the elderly. DESIGN: This study adopts a cross-sectional approach. SETTING: The study population of this project came from the China Health and Retirement Longitudinal Study. Depression was grouped according to the 10-item version of Centre for Epidemiological Research Depression Scale. Chronic diseases, height, weight, grip strength, education, marital status, alcohol consumption, exercise and other indicators were included in the analysis. PARTICIPANTS: 2239 adults over 60 years of age were included. RESULTS: The proportion of women in the depression group was higher (p<0.001). The depression group had a lower grip strength than the control group (p<0.05). The sleep duration was shorter in the depression group (p<0.001). There were differences in education, marital status and alcohol consumption in the depression group (p<0.05). The depression group might have more types of coexisting chronic diseases (p<0.001). The depression group was more likely to have hypertension, dyslipidaemia, chronic lung diseases, heart attack, stroke, stomach disease and memory-related disease. Grip strength was connected with the risk of depression in the elderly (0.971 (95% CI 0.959 to 0.984)). Sleep (0.827 (95% CI 0.785 to 0.872) and education level (0.790 (95% CI 0.662 to 0.942) were related to the risk of depression in the elderly. Concomitant chronic diseases could affect the risk of depression in the elderly (1.455 (95% CI 1.243 to 1.703)). CONCLUSION: The coexistence of multiple chronic diseases and depression is very common in the elderly. The coexistence of multiple chronic diseases is more common in older women and older depressed people. With the increase in the number of chronic diseases, the risk of depression in the elderly is significantly increased.

Association between physical activity level and diabetes incidence among Chinese middle-aged and older adults: a cross-sectional study from the China health and retirement longitudinal study.

Background: It has been shown that diabetes is associated with insufficient physical activity among middle-aged and older adults, but the association between different physical activity levels (PAL) and diabetes incidence needs to be further explored. Objective: This study aims to explore the correlation and dose-response relationship between different PAL and the diabetes incidence in middle-aged and older adults. Methods: Utilizing data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), this cross-sectional analysis included 17,226 middle-aged and older adults aged 45 and above. Binary logistic regression models and restricted cubic spline (RCS) were used to explore the correlation and dose-response relationship between different PAL and the incidence of diabetes in the total middle-aged and older adults population as well as in subgroups. Sensitivity analyses were also performed to verify the robustness of the findings. Results: In the entire study population, compared with the lowest PAL, participants in the third and fourth quartiles PAL saw diabetes incidence significantly reduced by 16% (p = 0.005) and 33% (p < 0.001), respectively (p for trend < 0.001). In subgroup analyses, the fourth quartile PAL significantly reduced the diabetes incidence among females, individuals aged 60-69, and rural residents by 25% (p = 0.011), 38% (p < 0.001) and 28% (p < 0.001), respectively. For males, middle-aged (45-59 years), and urban residents, the third quartile PAL reduced diabetes incidence by 22% (p = 0.004), 24% (p = 0.012), 21% (p = 0.013), respectively. When the fourth quartile PAL was reached, the diabetes incidence was significantly reduced in these populations by 41% (p < 0.001), 39% (p < 0.001), and 41% (p < 0.001), respectively. There was a negative dose-response relationship between physical activity and diabetes incidence in specific Chinese middle-aged and older adults population. In addition, sensitivity analyses indicated the robustness of the findings. Conclusion: Higher PAL was associated with lower diabetes incidence in specific Chinese middle-aged and older adults population. It is feasible to use physical activity to predict diabetes incidence in this demographic, and high PAL may be an effective means of preventing and controlling diabetes.

Welfare costs of suboptimal retiree decisions.

We make a novel investigation of welfare costs associated with various suboptimal decisions made by retirees, both analytically and numerically. We utilize a unique framework that incorporates recursive utility with housing, and also encompasses expected utility and recursive utility without housing as special cases. Our findings indicate that under-investment in stocks incurs lower welfare costs compared to an equivalent over-investment. Suboptimal allocations in bond holdings result in higher costs than similar misallocations in stocks. Choosing not to participate in the stock market is less detrimental than avoiding the bond market. Should retirees opt to simplify their decision-making by investing solely in one type of asset, it is less costly for them to invest exclusively in bonds. Overconsumption of housing is less costly than an equivalent underconsumption. Suboptimal consumption imposes the highest welfare cost. Decisions regarding consumption, housing, and savings are found to be more crucial than the choice of how to distribute liquid savings between stocks and bonds. Additionally, recursive utility model better captures retirees' preference for bonds over stocks than expected utility model. Our results, which are consistent across various parameter settings, provide valuable insights for academics and policymakers aiming to enhance retiree welfare.

Nonlinear and threshold effects of built environment on older adults' walking duration: do age and retirement status matter?

Introduction: Walking plays a crucial role in promoting physical activity among older adults. Understanding how the built environment influences older adults' walking behavior is vital for promoting physical activity and healthy aging. Among voluminous literature investigating the environmental correlates of walking behaviors of older adults, few have focused on walking duration across different age groups and life stages, let alone examined the potential nonlinearities and thresholds of the built environment. Methods: This study employs travel diary from Zhongshan, China and the gradient boosting decision trees (GBDT) approach to disentangle the age and retirement status differences in the nonlinear and threshold effects of the built environment on older adults' walking duration. Results: The results showed built environment attributes collectively contribute 57.37% for predicting older adults' walking duration, with a higher predicting power for the old-old (70+ years) or the retired. The most influencing built environment attribute for the young-old (60-70 years) is bus stop density, whereas the relative importance of population density, bus stop density, and accessibility to green space or commercial facilities is close for the old-old. The retired tend to walk longer in denser-populated neighborhoods with better bus service, but the non-retired are more active in walking in mixed-developed environments with accessible commercial facilities. The thresholds of bus stop density to encourage walking among the young-old is 7.8 counts/km2, comparing to 6 counts/km2 among the old-old. Regarding the green space accessibility, the effective range for the non-retired (4 to 30%) is smaller than that of the retired (12 to 45%). Discussion: Overall, the findings provide nuanced and diverse interventions for creating walking-friendly neighborhoods to promote walking across different sub-groups of older adults.

Does the time spent in retirement improve health? An IV-Poisson assessment on the incidence of cardiovascular diseases.

In recent decades, pension reforms have been implemented to address the financial sustainability of social security systems, resulting in an increase in the retirement age. This adjustment has led to ongoing debates about the relationship between retirement and health. This study investigates the impact of time spent in retirement on the risk of cardiovascular disease (CVD) in Italy. It uses a comprehensive dataset that includes socioeconomic, health, and behavioural risk factors, which is linked to administrative hospitalisation and mortality registers. To address the potential endogeneity of retirement, we employ an instrumental variables approach embedded in a Poisson rate model. The results show that, on average, years spent in retirement have a beneficial effect on the risk of CVD for both men and women. Each additional year spent in retirement reduces the incidence of such diseases by about 17% for men and 29% for women. Stratified analyses and robustness tests show that the benefits of retirement appear to be more robust and pronounced in men and in certain groups, particularly men in manual occupations or with poor ergonomic conditions at work. These results highlight that delaying access to retirement may lead to an increased burden of CVD in the older population. In addition, the protective effect of retirement on the development of CVD among workers with poorer ergonomic conditions underlines the different impact of increasing the retirement age on different categories of workers and the need for targeted and differentiated policies to avoid hitting the more vulnerable.

Factors influencing patient-provider communication about subjective cognitive decline in people with COPD: Insights from a national survey.

Objective: While there is a growing body of evidence indicating a relationship between COPD and cognitive impairment, there is a gap in evidence regarding discussions of cognitive symptoms in healthcare settings. This study investigated the extent to which individuals with Chronic Obstructive Pulmonary Disease (COPD) and Subjective Cognitive Decline (SCD) self-reported confusion or memory loss with healthcare professionals. Methods: A secondary analysis of 2019 BRFSS data of US adults aged 45+ with COPD (N = 107,204), using logistic regression to explore associations between socio-demographic and health-related indicators with discussion of cognitive symptoms with healthcare professionals. Results: Less than half (45.88%) of individuals reporting SCD discussed their cognitive symptoms with their healthcare provider. In the adjusted model, unemployed (AOR = 2.92, 95% CI: 1.70-5.02, p < .005), retired (AOR = 3.16, 95% CI: 1.37-7.30, p < .01), and current smokers (AOR = 1.73, 95% CI: 1.02-2.93, p < .05) were more likely to discuss cognitive decline with a healthcare professional than their counterparts. In contrast, males (AOR = 0.53, 95% CI: 0.32-0.86, p < .05) and binge drinkers (AOR = 0.49, 95% CI: 0.30-0.79, p < .01) were significantly less likely to do so when compared to their counterparts. Discussion: The study highlighted significant disparities in the likelihood of individuals with COPD discussing cognitive symptoms based on socio-demographic and health risk behaviors. Conclusion: Addressing gender disparities, occupational status, and personal health risks is crucial for improving patient-provider communication about SCD among adults with COPD.

Depressive symptoms across the retirement transition in men and women: associations with emotion regulation, adjustment difficulties and work centrality.

BACKGROUND: Retirement is a major life event and factors driving depression in the retirement transition might differ in men and women. The aim was to prospectively study depressive symptoms across the retirement transition in men and women and to test associations with emotion regulation strategies (suppression and reappraisal), adjustment difficulties, and work centrality. METHODS: The sample included 527 individuals from the population-based Health, Aging and Retirement Transitions in Sweden (HEARTS) study who were working at baseline and retired during one of the following four annual measurement waves. Participants contributed with a total of 2635 observations across five measurement waves. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D); total score was modelled as a function of time to and from retirement. Changes over the retirement transition were analyzed with multilevel growth curve models. Gender differences in associations with emotion regulation, adjustment difficulties and work centrality were examined by including interaction effects with sex. RESULTS: We observed a general reduction of depressive symptoms in the early years of retirement in both men and women. Higher suppression was related to higher depression scores while higher cognitive reappraisal was related to lower levels of depressive symptoms. Women more often used cognitive reappraisal, and men more often suppression, but no significant gender interaction in associations with depressive symptoms could be shown. Retirement adjustment difficulties and greater importance of work for self-esteem were related to higher depression scores. Greater meaning of work, on the other hand, was related to lower levels of depressive symptoms, and this association was stronger in men. CONCLUSIONS: There was a general reduction of depression scores in the early years of retirement in both women and men. Findings suggest that basing one's self-esteem on workplace performance was related to higher levels of depressive symptoms after retirement, while perceiving one's job as important and meaningful may facilitate better adjustment in terms of lower depression symptom levels, especially in men.

Motivation to work and attitudes towards retirement among physicians.

BACKGROUND: The healthcare system is currently in a state of tension due to a shortage of physicians, the early retirement of health care professionals and an increasing need for care within an (aging) society. Therefore, the aim of the present study was to examine physicians' attitudes towards retirement and possible influencing factors on their motivation to work. METHOD: Data were collected as part of a baseline survey of a long-term study. The sample includes a variety of physicians (n = 625), working in outpatient or inpatient care, who have not yet reached the retirement age of 67. The primary outcome was to survey attitudes towards retirement using the Motivation to Work scale. Work-related characteristics (e.g., with regard to contract or working hour) as well as job satisfaction, overall health, and burnout were also included in the analyses (correlations and linear regression models). RESULTS: According to the results, sociodemographic characteristics are not significantly related to motivation to work, whereas the other parameters (satisfaction, health, and burnout) influence attitudes towards retirement significantly. CONCLUSIONS: The results underline the need to improve the occupational conditions of physicians across different medical settings. More research is needed to understand physicians' decision-making with regard to retirement, especially in terms of work-related characteristics and differences.

Concussion-Related Biomarker Variations in Retired Rugby Players and Implications for Neurodegenerative Disease Risk: The UK Rugby Health Study.

The health and well-being of retired rugby union and league players, particularly regarding the long-term effects of concussions, are of major concern. Concussion has been identified as a major risk factor for neurodegenerative diseases, such as Alzheimer's and Amyotrophic Lateral Sclerosis (ALS), in athletes engaged in contact sports. This study aimed to assess differences in specific biomarkers between UK-based retired rugby players with a history of concussion and a non-contact sports group, focusing on biomarkers associated with Alzheimer's, ALS, and CTE. We randomly selected a sample of male retired rugby or non-contact sport athletes (n = 56). The mean age was 41.84 ± 6.44, and the mean years since retirement from the sport was 7.76 ± 6.69 for participants with a history of substantial concussions (>5 concussions in their career) (n = 30). The mean age was 45.75 ± 11.52, and the mean years since retirement was 6.75 ± 4.64 for the healthy controls (n = 26). Serum biomarkers (t-tau, RBP-4, SAA, Nf-L, and retinol), plasma cytokines, and biomarkers associated with serum-derived exosomes (Aß42, p-tau181, p-tau217, and p-tau231) were analyzed using validated commercial ELISA assays. The results of the selected biomarkers were compared between the two groups. Biomarkers including t-tau and p-tau181 were significantly elevated in the history of the substantial concussion group compared to the non-contact sports group (t-tau: p < 0.01; p-tau181: p < 0.05). Although between-group differences in p-tau217, p-tau231, SAA, Nf-L, retinol, and Aß42 were not significantly different, there was a trend for higher levels of Aß42, p-tau217, and p-tau231 in the concussed group. Interestingly, the serum-derived exosome sizes were significantly larger (p < 0.01), and serum RBP-4 levels were significantly reduced (p < 0.05) in the highly concussed group. These findings indicate that retired athletes with a history of multiple concussions during their careers have altered serum measurements of exosome size, t-tau, p-tau181, and RBP-4. These biomarkers should be explored further for the prediction of future neurodegenerative outcomes, including ALS, in those with a history of concussion.

Restricted linear association between night sleep duration and diabetes risk in middle-aged and older adults: a 7-year follow-up analysis from the China health and retirement longitudinal study.

Background: A rapid increase in the prevalence of diabetes is an urgent public health concern among older adults, especially in developing countries such as China. Despite several studies on lifestyle factors causing diabetes, sleep, a key contributor, is understudied. Our study investigates the association between night sleep duration and diabetes onset over a 7-year follow-up to fill information gaps. Method: A population-based cohort study with 5437 respondents used 2011-2018 China Health and Retirement Longitudinal Study data. Using self-reported night sleep duration from the 2011 baseline survey, information on new-onset diabetes was collected in follow-up surveys. Baseline characteristics of participants with vs. without new-onset diabetes were compared using Chi-square and Mann-Whitney U tests. Multivariable Cox regression models estimated the independent relationship between night sleep and new-onset diabetes. The addictive Cox regression model approach and piece-wise regression described the nonlinear relationship between night sleep and new-onset diabetes. Subgroup analysis was also performed by age, gender, body measurement index, dyslipidemia, drinking status, smoking, hypertension, and afternoon napping duration. Result: 549 respondents acquired diabetes during a median follow-up of 84 months. After controlling for confounders, night sleep duration was substantially linked with new-onset diabetes in the multivariable Cox regression model. The risk of diabetes is lower for respondents who sleep longer than 5 hours, except for those who sleep over 8 hours [5.1-6h Hazard ratios (HR) [95% confidence intervals (CI)] = 0.71 (0.55, 0.91); 6.1-7h HR = 0.69 (0.53, 0.89); 7.1-8h HR = 0.58 (0.45, 0.76)]. Nonlinear connections were delineated by significant inflection points at 3.5 and 7.5 hours, with a negative correlation observed only between these thresholds. With one hour more night sleep, the risk of diabetes drops 15%. BMI and dyslipidemia were identified as modifiers when only consider the stand linear effect of sleep duration on diabetes. Conclusion: This study establishes a robust association between night sleep and new-onset diabetes in middle-aged and older Chinese individuals within the 3.5-7.5-hour range, offering a foundation for early glycemic management interventions in this demographic. The findings also underscore the pivotal role of moderate night sleep in preventing diabetes, marking a crucial juncture in community medical research.

A meta-narrative review of research traditions on hidden workers in aging population for transdisciplinary implementation research.

Hidden workers are defined as the three vulnerable subgroups of workers: the underemployed, the unemployed, and the discouraged workers. Hidden workers indeed the group with multiple identities; a transitioning retiree, jobseeker, caring for some, who may also have long term health conditions and ethnic minority all at the same time. Designing an intervention for this group necessitates the transdisciplinary knowledge. Transdisciplinary knowledge is crucial because it can inform how the intersectoral challenges might be addressed in interventions, and how the intersectoral implementation design and evaluation on hidden workers might be designed. This paper maps the intellectual landscape of the hidden workers in aging population literature to identify key disciplinary research clusters; and to find out how those research clusters are investigating hidden workers. With the meta-narrative review methodology on studies retrieved from the Web of Science Core Collection, five research clusters were identified: (1) public health approaches to hidden workers, (2) welfare state and aging workforce, (3) older jobseekers, (4) life course perspective, (5) retirement transitions. Each research cluster focuses on different aspects of hidden workers, with varying research questions and rationales. These include conceptualising the determinants of the hidden workers in aging populations and the complex interrelation with public health. Furthermore, we suggest an analytical framework to allow for better understanding between the research traditions based on (1) the chosen socioecological level of analysis, (2) whether the research question is on the determinant for hidden workers or on the outcome of being hidden and (3) the chronosystem (early/middle/later life) timeframe of research question that is addressed. Through this study, we can identify the main issues faced by hidden workers among the older adults and the measures to address these issues as well as opening up a possibility for cross-sectoral policy responses.

Physical Fitness as a Predictor of Disability Retirement: A 9-Year Register Linked Follow-Up Study.

BACKGROUND: To prospectively examine the association between physical fitness and risk of disability retirement in a large population-based cohort. METHODS: This study utilized data from Health 2011 survey Physical Activity subsample (n = 4898), combined with information on disability retirement derived from 2 national registers. In total, 2455 individuals aged 18-74 years underwent the physical fitness test protocol concerning measures of cardiorespiratory fitness, muscle strength, and balance. The outcome variable was disability retirement, during the follow-up period of 9 years. After excluding those not at risk of disability retirement (ie, age ≥63 y) or who had already been granted disability pension, and those who had not completed the fitness protocol, the analytical sample included 1381 participants. Data were analyzed using Cox regression model with SPSS (version 29). RESULTS: During the 9-year follow-up period, 61 individuals (4.4%) transitioned to a disability retirement. Cox regression analysis showed an association between the various physical fitness subdomains and the risk of disability retirement. In model 1, all fitness tests were associated with the risk of disability retirement, except the one-leg stand test with hazard ratios ranging from 1.69 (95% CI, 0.86-3.34) to 5.75 (95% CI, 1.84-17.90). Further adjustment for sociodemographic, health behavior, and health-related covariates attenuated the associations and statistical significance was lost, except for the vertical jump test (hazard ratio = 4.33; 95% CI, 1.32-14.10) and 6-minute walk test (hazard ratio = 3.81; 95% CI, 1.35-10.70). CONCLUSION: These findings highlight the importance of physical fitness for preventing work disability.

Exploring determinants of flourishing: a comprehensive network analysis of retirees in Taiwan.

BACKGROUND: Human flourishing is an emerging concept, extending beyond the conventional boundaries of subjective well-being and evolving into a comprehensive capture of the diverse dimensions of human life within complex societal structures. Therefore, moving away from traditional approaches centered on the single latent construct, this study aims to explore the multiple aspects of human flourishing and the intricate interplay of their contributing factors. METHODS: Data were collected from the Health and Living Environments Survey of Taiwanese Retirees during 2023 (valid sample n = 1,111). Human flourishing was measured using the Secure Flourish Index developed by Harvard University, which includes 12 indicators: (1) life satisfaction, (2) happiness, (3) mental health, (4) physical health, (5) meaning in life, (6) sense of purpose, (7) promoting good, (8) delaying gratification, (9) content relationships, (10) satisfying relationships, (11) financial stability, and (12) material stability. A mixed graphical network analysis was employed to analyze the related determinants, divided into four groups: (a) sociodemographic factors, (b) physical functions and health status, (c) social and family engagement, and (d) community environmental characteristics as nodes. RESULTS: We analyzed 31 variables and identified 133 nonzero edges out of 465 potential connections in the comprehensive network. Results showed that happiness and promoting good were the two most critical indicators influencing retirees' overall flourishing. Different flourishing indicators were also associated with various influential factors. For instance, personal characteristics, especially gender and education, emerged as central factors. Family caregiving negatively affected happiness and financial stability, whereas social engagement was positively associated with life satisfaction and meaning in life. Employment status had mixed effects, negatively associated with life satisfaction but positively associated with mental health. Community environments, such as a sense of community and neighborhood safety, generally enhanced flourishing. However, the accessibility of neighborhood resources was paradoxically associated with material stability, pointing to the complexity of environmental factors in human flourishing. CONCLUSION: This study provides a comprehensive network analysis that reveals intricate connections between personal, behavioral, and environmental factors, offering profound insights for targeted interventions to foster human flourishing.

Trend analysis and influencing factors of healthy aging in middle-aged population in China: a longitudinal study based on the China Health and Retirement Longitudinal Study.

OBJECTIVES: This study aimed to assess the trends of healthy aging and investigate its determinants in the middle-aged population. STUDY DESIGN: This was a longitudinal study. METHODS: The sample comprised 3043 participants aged 45-59 years from the China Longitudinal Study of Health and Retirement 2011-2018. We plotted the prevalence across four waves and used ordered logistic models to investigate the determinants of cumulative times of healthy aging. RESULTS: We enrolled 3043 middle-aged people in our study. The prevalence of healthy aging is 28.2% at baseline but subsequently decreased to 19.72% at wave 4. Active socializing consistently ranked the lowest among the five dimensions. Participants with older age (odds ratio [OR] = 0.95, 95% confidence interval [CI] = 0.94-0.97), low monthly income (OR = 0.82, 95% CI: 0.69-0.97) or lived in urban (OR = 0.81, 95% CI: 0.70-0.94) were less likely to have per time increase in healthy aging. Participants with more than primary school degree (OR = 1.79, 95% CI: 1.31-2.46), high life satisfaction (OR = 2.38, 95% CI: 1.86-3.06), and good self-report health (OR = 1.97, 95% CI: 1.66-2.34) were more likely to have healthy aging. CONCLUSION: The number of middle-aged individuals in China who achieved healthy aging is declining and eventually less than one in five, which was far from ideal. Particular attention should be paid to older, women, urban dwellers, individuals with low income, low life satisfaction or poor self-report health. It is urgent to develop public health policies to improve the health and well-being of the middle-aged population.