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ABSTRACT: Nurses who anticipate and plan for retirement have multiple options and opportunities. Financial planning, healthcare insurance considerations, and productive use of time are significant components toward a satisfying post-career life. Wisdom from the Bible provides great insight for nurses considering retirement.

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BACKGROUND: Psychological resilience refers to an individual's ability to cope with and adapt to challenging life circumstances and events. OBJECTIVE: This study aims to explore the association between psychological resilience and all-cause mortality in a national cohort of US older adults by a cross-sectional study. METHODS: The Health and Retirement Study (2006-2008) included 10 569 participants aged ≥50. Mortality outcomes were determined using records up to May 2021. Multivariable Cox proportional hazards models were used to analyse the associations between psychological resilience and all-cause mortality. Restricted cubic splines were applied to examine the association between psychological resilience and mortality risk. FINDINGS: During the follow-up period, 3489 all-cause deaths were recorded. The analysis revealed an almost linear association between psychological resilience and mortality risk. Higher levels of psychological resilience were associated with a reduced risk of all-cause mortality in models adjusting for attained age, sex, race and body mass index (HR=0.750 per 1 SD increase in psychological resilience; 95% CI 0.726, 0.775). This association remained statistically significant after further adjustment for self-reported diabetes, heart disease, stroke, cancer and hypertension (HR=0.786; 95% CI 0.760, 0.813). The relationship persisted even after accounting for smoking and other health-related behaviours (HR=0.813; 95% CI 0.802, 0.860). CONCLUSIONS: This cohort study highlights the association between psychological resilience and all-cause mortality in older adults in the USA. CLINICAL IMPLICATIONS: Psychological resilience emerges as a protective factor against mortality, emphasising its importance in maintaining health and well-being.

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BACKGROUND: As people age, they are more likely to experience several health conditions which are circumstances that arise throughout life that can interfere with an individual's ability to work, leading them to demand the social security system. This research aims to systematically review and synthesize studies related to health conditions in the aging process with social security policy reforms. METHODS: A systematic review was performed across Embase, Web of Science, Scopus, Pubmed, CINAHL, ASSIA (Proquest) and APA PsycNet from 1979 to 2022. Methods are outlined in a published protocol registered a priori on PROSPERO (CRD42021225820). Eligible studies include original empirical articles published in English, Spanish, French and Portuguese, using the search terms "aging" and "social security". Identified outcomes were organized into categories and a meta-ethnography was completed following the phases proposed by Noblit and Hare and the eMERGe meta-ethnography reporting guidance. RESULTS: There were 17 eligible studies from 4 continents with 10 cross-sectional, 1 both cross-sectional and longitudinal and 5 longitudinal data analysis. These assessed the relationship of health conditions that occur in the aging process related to social security policies, in particular, to retirement. The categories included (i) health as a way to promote an active working life for the elderly; (ii) health as an indicator for reforms in social security policies; (iii) retirement planning as a strategic element for coping with post-retirement life; and (iv) the relationship between social security policies and psychological health. CONCLUSIONS: This review showed that health and retirement defined in social security policies are related and have an impact on people's lives, especially in the decision to leave the labor market. Therefore, measures to assess the possible consequences of this relationship when promoting reforms on social security policies should be encouraged.

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BACKGROUND: Boxing exposes fighters to head impacts and potential traumatic brain injury (TBI). Though research has explored the neuropsychiatric consequences of contact sports, there is limited research into Excessive Daytime Sleepiness (EDS) and its relationship to other outcomes, such as impulsiveness and depression. Therefore, this study aimed to describe EDS in retired boxers using the Epworth Sleepiness Scale (ESS) and to examine how boxing and sleepiness relate to impulsiveness and depression symptomatology. METHODS: 86 male retired professional boxers from the Professional Fighters Brain Health Study (PFBHS) met the inclusion criteria. Adjusted multivariable models analyzed relationships between professional boxing bouts, EDS (ESS), impulsiveness (Barratt Impulsiveness Scale Version 11 (BIS-11)), and/or depression (Patient Health Questionnaire-9 (PHQ-9)). A causal mediation analysis was performed to assess whether boxing bouts and ESS scores predicted BIS-11 and PHQ-9 scores. RESULTS: Mean age was ∼51 years, fighters averaged ∼36 professional bouts, and ESS mean(SD) was 7.5(5.3). ESS scores were significantly associated with raw BIS-11 (Beta = 1.26, 95%CI = 0.77-1.75, p < 0.001) and ordinal PHQ-9 (OR = 1.20, 95%CI = 1.11-1.31, p < 0.001) scores in adjusted models, and the significant relationship between boxing bouts and BIS-11/PHQ-9 was mediated by ESS. CONCLUSIONS: EDS in retired male professional boxers may be strongly associated with other neuropsychiatric sequelae of TBI (impulsiveness and depression).Sleepiness; sleep; boxing; contact sports; impulsiveness; impulsivity; depression; Epworth sleepiness scale box.

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AIMS: Utilizing Ruthven's (2022) transition model, we explored how identity, voluntariness, and reason for retirement are related to subjective wellbeing throughout an athlete's retirement. METHODS: 541 participants completed an anonymous, online survey and estimated their wellbeing starting before retirement and up to the present. A set of linear mixed models regressed the seven wellbeing outcomes on the three measures, with education, gender, and time since retirement as covariates. RESULTS: Identity: Athletic Identity wellbeing was significantly and consistently lower than Diversified Identity. Voluntariness: Surprise retirement was significantly more difficult and contributed to a sharper decline on the day of transition. Reason for retirement: Pursue Something Else and Right Time experienced no significant wellbeing changes, while Injury had a significant decline on their transition day. Motivation Loss experienced significantly lower wellbeing prior to retirement, and a significant, gradual rise on the day of and throughout their transition. CONCLUSIONS: There are wellbeing benefits for a diverse identity, voluntary retirement, and retiring due to pursuing something else, or feeling ready to retire. At risk groups include retiring due to injury, low motivation, and loss of eligibility/graduation. Findings support the benefit of utilizing a theoretical model to explain elite athlete outcomes.

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BACKGROUND: Depression has been found to be associated with cognitive decline, but whether longer depressive durations lead to more severe cognitive declines has not been investigated. We aimed to estimate the association between depressive duration and cognitive decline in middle-aged and older Americans based on a large-scale representative population study. METHODS: We included 27,886 participants from the Health and Retirement Study (HRS) in 2010-2018. Four datasets with 2-, 4-, 6-, and 8-year consecutive interviews were further derived which involving persistent depressed and persistent depression-free individuals. Multiple linear regressions were constructed to estimate the effects of each depressive duration on the decline in global cognition, memory and mental status. Meta-regressions were performed to test the linear trends and to explore the heterogeneity between sex, age and baseline cognitive function along with subgroup analyses. RESULTS: Depressive durations of 2, 4, 6, and 8 years were associated with reductions in global cognitive scores of 0.62 points (95% CI: 0.51-0.73), 0.77 points (95% CI: 0.60-0.94), 0.83 points (95% CI: 0.55-1.10), and 1.09 points (95% CI: 0.63-1.55), respectively, indicating a linear trend (P = 0.016). More pronounced associations were observed in middle-aged adults and females. Similar patterns were found in the associations between depressive duration and two subdomains, i.e., memory and mental health. LIMITATIONS: This study is essentially a cross-sectional study and therefore cannot provide causal associations. CONCLUSIONS: Longer depressive durations were linearly related to more severe cognitive declines. Timely intervention for depression targeted middle-aged adults can more effectively alleviate cognition-related burdens.

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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.

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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.

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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.

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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.

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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.

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BACKGROUND: The long-term consequences of concussions may include pathological neurodegeneration as seen in Alzheimer's disease (AD) and chronic traumatic encephalopathy (CTE). Tau-PET showed promise as a method to detect tau pathology of CTE, but more studies are needed OBJECTIVE: This study aimed (1) to assess the association of imaging evidence of tau pathology with brain volumes in retired athletes and (2) to examine the relationship between tau-PET and neuropsychological functioning. METHODS: Former contact sport athletes were recruited through the Canadian Football League Alumni Association or the Canadian Concussion Centre clinic. Athletes completed MRI, [18F]flortaucipir tau-PET, and a neuropsychological battery. Memory composite was created by averaging the Rey Auditory Verbal Learning Test and Rey Visual Design Learning Test z-scores. Grey matter (GM) volumes were age/intracranial volume corrected using normal control MRIs. Tau-PET % positivity in GM was calculated as the number of positive voxels (≥ 1.3 standardized uptake value ratio (SUVR)/total voxels). RESULTS: 47 retired contact sport athletes negative for AD (age:51 ± 14; concussions/athlete:15 ± 2) and 54 normal controls (age:50 ± 13) were included. Tau-PET positive voxels had significantly lower GM volumes, compared to tau-PET negative voxels (- 0.37 ± 0.41 vs. - 0.31 ± 0.37, paired p = .006). There was a significant relationship between GM tau-PET % positivity and memory composite score (r = - .366, p = .02), controlled for age, PET scanner, and PET scan duration. There was no relationship between tau-PET measures and concussion number, or years of sport played. CONCLUSION: A higher tau-PET signal was associated with reduced GM volumes and lower memory scores. Tau-PET may be useful for identifying those at risk for neurodegeneration.

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Aim: This is a brief description of links between nine epigenetic clocks related to human aging and socioeconomic and behavioral characteristics as well as health outcomes.Materials & methods: We estimate frequently used and novel clocks from one data source, the Health and Retirement Study.Results: While all of these clocks are thought to reflect "aging," they use different CpG sites and do not strongly relate to each other. First and fourth generation clocks are not as linked to socioeconomic status or health outcomes as second and third generation clocks.Conclusion: Epigenetic clocks reflect exciting new tools and their continued evolution is likely to improve our understanding of how exposures get under the skin to accelerate aging.

Biological aging occurs much earlier than mortality and the onset of diseases associated with age that can be clinically diagnosed. In fact, changes in biology that accelerate aging can occur throughout life in response to adverse exposures, behaviors and experiences. One such change is methylation or the attachment of methyl groups to genetic markers to affect their activity. Epigenetic clocks are measures of the amount of methylation that is related to aging. They are called clocks because they are measured in years or ticks of time or in change in years relative to age. We show that not all epigenetic clocks are the same in how they relate to socioeconomic status and health behaviors as well as subsequent mortality and morbidity. There are now four generations of these clocks developed in a little more than 10 years. The second and third generation clocks are more closely associated with lifetime socioeconomic status, health behaviors and health outcomes probably because they have been developed by relating them to health indicators in contrast to epigenetic measures that were developed because of their relation to age. Incorporating epigenetic measures into population studies reflects the beginning of our ability to measure some aspects of aging long before old age; it also provides entry to monitoring, measuring and intervening on biological aging throughout life.

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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.

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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.

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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.

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