Association of food insecurity with successful aging among older Indians: study based on LASI.

PURPOSE: Whether food insecurity (FI), a social determinant of health, is linked with successful aging (SA) in the older generation remains uncertain. This study explored the association of FI with SA among older Indians. METHODS: Data were collected from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-2018). Older adults (≥ 60 years) who completed both the FI and the SA surveys were selected. FI was indicated by the lack of access to enough food in the past year. SA was determined by five components: (1) low probability of diseases; (2) low probability of disability; (3) high cognitive functionality; (4) low probability of depression; and (5) active social engagement. The association of FI and SA was assessed using multivariable logistic regression adjusted for potential covariates. Subgroup analyses were performed to evaluate interactions with age, sex, alcohol use, smoking, and place of residence. RESULTS: 27,579 participants met the eligibility criteria. Overall prevalence was 7.13% for FI and 19.41% for SA. Following full adjustment, FI was inversely associated with SA (OR 0.56; 95% CI 0.49-0.65) and with each of SA's five components. No significant interactions of FI and SA were observed in subgroup analyses stratified by age, sex, alcohol use, smoking, or place of residence. CONCLUSIONS: FI was inversely associated with SA among older Indians. These findings need to be validated by future studies which should also explore potential underlying mechanisms, and whether interventions decreasing FI might increase SA.

Independent Association between Cognitive Frailty and Cardio-Ankle Vascular Index in Community-Dwelling Older Adults.

INTRODUCTION: Although arterial stiffness has been suggested to be associated with poor physical function and mild cognitive impairment (MCI), its association with cognitive frailty (CF), a comorbidity of both, is unclear. This study aims to examine the association between CF and arterial stiffness in community-dwelling older adults. METHODS: A cross-sectional analysis of 511 community-dwelling older adults aged 65 years or older (mean age 73.6 ± 6.2 years, 63.6% women), who participated in a community cohort study (Tarumizu Study, 2019), was conducted. Poor physical function was defined as either slowness (walking speed <1.0 m/s) or weakness (grip strength <28 kg for men and <18 kg for women). MCI was defined by the National Center for Geriatrics and Gerontology Functional Assessment Tool as a decline of at least 1.5 standard deviation from age- and education-adjusted baseline values in any one of the four cognitive domains (memory, attention, executive, and information processing). CF was defined as the combination of poor physical function and MCI. Arterial stiffness was measured using the Cardio-Ankle Vascular Index (CAVI), and the average of the left and right sides (mean CAVI) was used. RESULTS: Multinomial logistic regression analysis adjusted for covariates was performed with the four groups of robust, poor physical function, MCI, and CF as dependent variables and mean CAVI as an independent variable. Using the robust group as reference, the poor physical function and MCI groups showed no significant relationship with the mean CAVI. The mean CAVI was significantly higher in the CF group (odds ratio 1.62, 95% confidence interval: 1.14-2.29). CONCLUSION: A significant association was found between CF and the higher CAVI (progression of arterial stiffness). Careful observation and control of CAVI, which is also an indicator of arterial stiffness, may be a potential target for preventive interventions for CF.

Profiles of well-being in French older adults and associations with successful aging and personality: findings from the SHARE project.

Maintaining the well-being of the older adults is a primary concern in gerontology. This study determined different profiles of well-being (WB) and compared the profiles in terms of successful aging (SA), personality, and sociodemographic variables. The study sample consisted of 856 adults aged 65-98 years. WB was taken into account in an eudemonic and hedonic approach. SA was measured by assessing the three distinct components of Rowe and Kahn's model (Successful aging. Gerontol 37(4):433-440. 10.1093/geront/37.4.433, 1997), personality by the Big Five Inventory, and sociodemographic variables. Latent class analyses (LCA) determined the number of WB profiles, and ANOVAs and Chi2 tests to compare them. The LCA revealed three WB profiles: Profile 1 (9.35%, n = 80), Profile 2 (37.38%, n = 320), and Profile 3 (53.27%, n = 456) in which participants reported lower, intermediate, and higher WB scores. Our results confirm that a high level of WB (Profile 3) can be linked to the components of SA and socio-demographic characteristics (age, marital status, level of education, income). This raises questions about the injunctions concerning healthy aging that older people integrate. It's also interesting to note that the intermediate profile (profile 2) can be either close to the "lower WB" profile (Profile 1) in terms of openness, conscientiousness, and agreeableness or to the "higher WB" profile (Profile 3) in terms of extraversion. However the three profiles do not have the same level of neuroticism. These results also showed the importance of adapting the support offered to older people according to their health status and/or individual characteristics.

Latent profile analysis of successful aging among empty nesters in Guiyang, China.

OBJECTIVES: To explore potential profiles of successful aging among empty nesters using latent profile analysis and to analyze their influencing factors. METHODS: A total of 452 community-based empty nesters were included using convenience sampling. Empty nesters were surveyed using the Successful Ageing Scale, Social Capital Scale, Sense of Coherence Scale, and Chinese version of the Health-Promotion Lifestyle Scale-II. Latent profile analysis was used to categorize the successful aging of empty nesters, and factors influencing each category were analyzed using multiple logistic regression. RESULTS: Four latent profiles of successful aging were identified: 'low successful aging-low spirituality', 'high successful aging-spiritual fluctuation', 'high successful aging-balanced development group', and 'medium successful aging-medium spirituality'. The results of the multiple logistic regression analysis showed that gender, education, residence mode, and social capital were factors influencing the potential profiles of successful aging. CONCLUSIONS: There are four potential categories of successful aging among empty nesters. Gender, education, residence mode, and social capital were associated with successful aging among empty nesters. Targeting interventions may help enhance empty nesters' successful aging. Future research should combine subjective and objective indicators to assess the health of older people and explore other determinants for formulating interventions to improve successful aging of empty nesters.

Successful cognitive aging is associated with thicker anterior cingulate cortex and lower tau deposition compared to typical aging.

INTRODUCTION: There is no consensus on either the definition of successful cognitive aging (SA) or the underlying neural mechanisms. METHODS: We examined the agreement between new and existing definitions using: (1) a novel measure, the cognitive age gap (SA-CAG, cognitive-predicted age minus chronological age), (2) composite scores for episodic memory (SA-EM), (3) non-memory cognition (SA-NM), and (4) the California Verbal Learning Test (SA-CVLT). RESULTS: Fair to moderate strength of agreement was found between the four definitions. Most SA groups showed greater cortical thickness compared to typical aging (TA), especially in the anterior cingulate and midcingulate cortices and medial temporal lobes. Greater hippocampal volume was found in all SA groups except SA-NM. Lower entorhinal 18 F-Flortaucipir (FTP) uptake was found in all SA groups. DISCUSSION: These findings suggest that a feature of SA, regardless of its exact definition, is resistance to tau pathology and preserved cortical integrity, especially in the anterior cingulate and midcingulate cortices. HIGHLIGHTS: Different approaches have been used to define successful cognitive aging (SA). Regardless of definition, different SA groups have similar brain features. SA individuals have greater anterior cingulate thickness and hippocampal volume. Lower entorhinal tau deposition, but not amyloid beta is related to SA. A combination of cortical integrity and resistance to tau may be features of SA.

The impact of yoga on successful aging based on the selection, optimization, and compensation model in elderly women: A quasi-experimental study.

OBJECTIVE: To investigate the impact of yoga on successful aging based on the selection, optimization, and compensation model in elderly women. DESIGN: Quasi-experimental study. SAMPLE: Seniors' meeting points and parks and clubs for the old age pensioners of the ministry of education, ministry of healthcare, and the oil corporation in Shiraz, Iran. 68 elderly women within the age range of 60-86 years were divided into a yoga and a control group. MEASUREMENTS: The subjects in both groups were asked to complete the selection, optimization, and compensation model questionnaire before and after the intervention. Successful aging was measured using the selection, optimization, and compensation questionnaire. INTERVENTION: The yoga training program was implemented in 1-h sessions twice a week for eight weeks. RESULTS: After eight weeks of yoga training, the results showed a significant difference between the pretest and posttest successful aging total scores of the yoga group (P = .005). However, the difference between the yoga and control groups' posttest mean total scores was not significant (P = .601). CONCLUSION: Based on the results, it seems that yoga training can improve successful aging. Thus, yoga is recommended as an inexpensive and entertaining method.

Association of 'Tortoise' and 'Hare' movement behavior patterns with cardiometabolic health, body composition, and functional fitness in older adults.

We investigated the association of movement behavior patterns with cardiometabolic health, body composition, and functional fitness in older adults. A total of 242 older adults participated of this cross-sectional study. Sedentary time, light physical activity (LPA) and moderate-vigorous physical activity (MVPA), steps/day, and step cadence were assessed by accelerometry. The movement behavior patterns were derived by principal component analysis. Cardiometabolic health was defined by a metabolic syndrome score (cMetS). Body composition was determined by appendicular lean mass/body mass index (ALM/BMI). Functional fitness was assessed by a composite z-score from the Senior Fitness Test battery. Two patterns were identified: 'Tortoise' (low sedentary time, high LPA and steps/day) and 'Hare' (high MVPA, steps/day, and step cadence). 'Tortoise' and 'Hare' were associated with better cMetS. 'Hare' was positively associated with ALM/BMI and Functional Fitness. While 'Tortoise' and 'Hare' were associated with better cMetS, only 'Hare' was associated with better ALM/BMI and functional fitness.

Exploring pathways to successful aging among older black lesbians and sexual minority women: A focus on life satisfaction and intersectional factors.

PURPOSE: Satisfaction with life is a core aspect of successful aging, which is influenced by a broad range of factors, including health, socioeconomic status, and social relationships. Black lesbians experience various social challenges, including racism, sexism, ageism, and heterosexualism, that may present as deterrents to aging successfully. To develop better policies and programs in support of successful aging among all adults, an understanding of the unique components associated with their intersecting identities must be explored. This study was carried out to gain a better understanding of how Black lesbians and other Black sexual minority women (BSMW) view successful aging within the context of life satisfaction. METHODS: Inferential statistics were used to determine relationships between satisfaction with life (SWLS-3) and selected independent variables. Backward stepwise regression was conducted to ascertain significant relationships of the study outcome variable. RESULTS: The respondents were 118 Black lesbians and other BSMW aged 50 and above. Independent t-tests showed that those living with a partner had a significantly higher SWLS-3. Backwards stepwise regression indicated the predictor variables for higher rates of SWLS-3 to be harmony in life, annual household income, and provider sensitivity/cultural competence to their patient being Black. CONCLUSION: This study provides insight on factors increasing and diminishing satisfaction with life for aging Black lesbians and other BSMW. Future research should replicate this study with a more diverse and nationally representative sample, especially given the study limitations of having recruited a highly educated sample during a global pandemic.

Perceptions of Successful Aging among Asian Americans.

The current study explored Asian Americans' lay perceptions of successful aging and examined the differences and similarities between Asian Americans and White/Caucasian Americans. One hundred forty-five Asian American adults and 86 White/Caucasian adults were asked how they view successful aging. Open-ended responses were coded for recurring themes. The theme most often mentioned by Asian Americans was health, followed by quality of life, activities/interests, and social resources. Compared to White/Caucasian participants, Asian Americans' meaning of successful aging in the current study did not differ greatly in terms of major themes mentioned, but Asian Americans were more likely to mention certain themes, such as physical appearance and youthful look. In sum, the findings suggest that Asian Americans have a multifaceted understanding of successful aging, and reinforce the importance of cultural variations of the perceptions of successful aging.

Generativity as a Traditional Way of Life: Successful aging among Unangan Elders in the Aleutian Pribilof Islands.

Predominantly Western-based biomedical models of successful aging have been used to research, understand, and explain successful aging among diverse populations. With an increasingly heterogeneous older adult population nationwide, scholars have been exploring Indigenous understandings of successful aging. To add to the accumulation of knowledge of diverse Alaska Native populations, this study involved semi-structured qualitative interviews with 20 Unangan Elders from the Aleutian and Pribilof Islands. This community-based participatory research study explores the aging experiences and conceptualization of successful aging of these Elders from this remote and culturally distinct region of Alaska. Thematic analysis was employed to identify themes related to successful aging within this specific region, which supported our previous four themes, or characteristics, of Alaska Native successful aging: physical health, social support and emotional well-being, generativity as a traditional way of life, and community engagement and Inidgenous cultural generativity. Each of these themes or characteristics of Eldership is intertwined and together support successful aging within two remote communities in the Bering Sea. The findings of this study illuminate how Alaska Native Elders can live in geographically diverse regions of the State, yet the values and teachings they possess on successful aging possess the same cultural values and teachings. This study highlighted two new emerging constructs that influence Alaska Native Elders' successful aging based on geographical location. Findings contribute to the thematic saturation of the four main successful aging domains while outlining the importance of future research to conduct deeper investigations into the role of environment and history on Elders' perceptions and understanding of aging.

Impact of Death Anxiety on Psychological Well-Being and Successful Aging of Older Adults With Chronic Illness.

Comorbidities due to aging and the COVID-19 pandemic together are expected to cause death anxiety among older adults. This study aimed to assess the prevalence of death anxiety and its impact on psychological well-being and successful aging of older adults with chronic illness. A cross-sectional correlational survey was conducted on 79 older adults with chronic illness, drawn with a stratified random sampling method. Self-report measures were used to assess death anxiety, psychological well-being, and successful aging. A high prevalence of death anxiety was reported among older adults. Psychological well-being and successful aging in these older adults were significantly and negatively associated with death anxiety. Further, death anxiety showed substantial predictive valence for psychological well-being and successful aging of older adults with chronic illness. Findings strongly advocate and call for timely intervention programs for chronically ill older adults to reduce their death anxiety for enhanced psychological well-being and promote successful aging.

Insights about personality traits and cognitive performance and decline in adults 51-59 Years old from the Wisconsin longitudinal study.

OBJECTIVES: To delineate midlife personality dimensions of early cognitive change in an age-homogenous sample of U.S. older adults. DESIGN: Longitudinal study of 6133 adults from the Wisconsin Longitudinal Study (WLS). MEASURES: Middle-aged participants (mean age = 53.2; SD = 0.6) from the WLS completed the 'Big-5' personality assessment in 1992. Mixed effects models examined whether midlife personality traits were associated with change in cognitive performance from participant's mid-60s (2004-2005) to early 70s (2011). The cognitive battery assessed abstract reasoning (AR), category fluency (CF), working memory (WM), and delayed verbal memory (DVM). Models adjusted for sex, education, and subjective health. RESULTS: High Openness was a significant predictor of change in AR, CF, and DVM. These cognitive outcomes declined less among those with high Openness, but the effect sizes for Openness by time were small (R2 s < 0.01). AR and CF were characterized by higher overall performance with high Openness, but with relatively parallel change for the highest and lowest Openness quartiles. There was no advantage of Openness to DVM by the second assessment. High Conscientiousness was a predictor of more change for DVM, though the effect size was small (R 2  < 0.01). CONCLUSIONS: None of the midlife personality traits were uniformly associated with change in cognitive performance in early older adulthood. High midlife Openness had the most noteworthy impact on cognition. Interventions designed to target Openness have potential to elevate and maintain a higher threshold of performance in some cognitive domains, but may only have a small impact on cognitive change.

Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms?

BACKGROUND: The worldwide society is currently facing an epidemiological shift due to the significant improvement in life expectancy and increase in the elderly population. This shift requires the public and scientific community to highlight successful aging (SA), as an indicator representing the quality of elderly people's health. SA is a subjective, complex, and multidimensional concept; thus, its meaning or measuring is a difficult task. This study seeks to identify the most affecting factors on SA and fed them as input variables for constructing predictive models using machine learning (ML) algorithms. METHODS: Data from 1465 adults aged ≥ 60 years who were referred to health centers in Abadan city (Iran) between 2021 and 2022 were collected by interview. First, binary logistic regression (BLR) was used to identify the main factors influencing SA. Second, eight ML algorithms, including adaptive boosting (AdaBoost), bootstrap aggregating (Bagging), eXtreme Gradient Boosting (XG-Boost), random forest (RF), J-48, multilayered perceptron (MLP), Naïve Bayes (NB), and support vector machine (SVM), were trained to predict SA. Finally, their performance was evaluated using metrics derived from the confusion matrix to determine the best model. RESULTS: The experimental results showed that 44 factors had a meaningful relationship with SA as the output class. In total, the RF algorithm with sensitivity = 0.95 ± 0.01, specificity = 0.94 ± 0.01, accuracy = 0.94 ± 0.005, and F-score = 0.94 ± 0.003 yielded the best performance for predicting SA. CONCLUSIONS: Compared to other selected ML methods, the effectiveness of the RF as a bagging algorithm in predicting SA was significantly better. Our developed prediction models can provide, gerontologists, geriatric nursing, healthcare administrators, and policymakers with a reliable and responsive tool to improve elderly outcomes.

Profiles of Successful Aging and Their Association with All-Cause Mortality Risk among the Oldest-Old Chinese in Singapore.

INTRODUCTION: Although successful aging (SA) studies have examined objective indicators such as disease and disability, physical and cognitive function, and social and productive engagement, as well as subjective indicators such as self-rated health, function, and well-being, the interplay among these indicators is rarely studied. We studied SA profiles that captured this interplay and evaluated the association of these profiles with mortality in the oldest-old. METHODS: Respondents were 1,000 Chinese Singaporeans aged ≥85 years during interview visits from 2017 to 2018. Latent class analysis examined 12 objective and subjective indicators to identify SA profiles. Multivariable Cox regression assessed the relationship between these profiles and all-cause mortality risk through 2020. RESULTS: Four distinct SA profiles were identified: "frail and dejected" (poor performance in nearly all objective and subjective indicators), "frail but resilient" (poor in objective but good in subjective indicators), "fairly fit and neutral" (good in about half of the indicators), and "fit and positive" (good in nearly all indicators). Compared with "frail and dejected," the adjusted hazard ratio (95% confidence interval) for mortality risk was 0.63 (0.40-0.97) in "frail but resilient," 0.56 (0.34-0.93) in "fairly fit and neutral," and 0.31 (0.19-0.49) in "fit and positive." DISCUSSION: SA in the oldest-old could take different profiles based on objective and subjective indicators, and these profiles have implications for mortality risk. Individuals with good subjective indicators have advantage in survival despite poor objective indicators.

Testing a model of biopsychosocial successful aging based on socioemotional selectivity theory in the second half of life.

OBJECTIVES: We first tested a successful aging model, which included biomedical and psychosocial indicators. Next, we tested the assumptions on the social network characteristics of the socioemotional selectivity theory in a model where the outcome variable is successful aging. DESIGN: Cross-sectional study. SETTING: The study was carried out in municipal centers and nursing homes. PARTICIPANTS: A total of 478 adults (Mean age = 72.11, SD = 10.43) were enrolled. MEASUREMENTS: Psychological Well-being Scale, Life Satisfaction Scale, Future Time Perspective, Katz Index of Independence in Activities of Daily Living Scale, Lawton Instrumental Activities of Daily Living Scale, and Mini-Mental State Examination Test were completed. RESULTS: The structural equation modeling analyses indicated that higher social satisfaction mediated the association of the future time perspective with successful aging. Furthermore, there was another significant indirect sequential path from the future time perspective to successful aging. The path was first via the number of close social partners and second, social satisfaction. CONCLUSIONS: The findings highlight the importance of social satisfaction in the process of successful aging and provide novel evidence that the socioemotional selectivity theory can be considered as a biopsychosocial model of successful aging in future studies.

Multivariate decomposition of gender differentials in successful aging among older adults in India.

BACKGROUND: Rowe and Kahn define successful aging as a high physical, psychological, and social functioning in old age without major diseases. It is considered a viable solution to the burdens placed on healthcare systems and financial and social security in societies with aging population. The present study aimed to determine the prevalence of successful aging and explore the factors contributing to gender differentials in successful aging among older adults in India. METHODS: This study utilized data from the nationally representative Longitudinal Ageing Study in India, conducted in 2017-18. The study is based on a sample of 15,098 older men and 16,366 older women aged 60 years and above. The outcome variable was a dichotomous measure of successful aging with six components including absence of chronic diseases, free from disability, high cognitive ability, free from depressive symptoms, active social engagement in life and free from obesity. Older adults satisfying all these conditions were considered aging successfully. Descriptive and bivariate analyses were carried out. Proportion test was used to evaluate the gender differentials and reflect the statistical significance in the associated factors. Multivariate decomposition analysis was conducted to identify covariates' contribution in explaining the gender differences in successful aging. RESULTS: There was a significant gender difference in successful aging among older adults in India (Difference: 8.7%; p-value < 0.001] with 34.3% older men and 25.6% older women experiencing successful aging. A proportion of 88% of gender difference in successful aging was explained by the differences in the distribution of characteristics (Coef: 0.082; p-value < 0.05). Considerable gender gap in successful aging would be reduced if women had similar levels of work status (28% reduction) to their male counterparts. Bringing the level of frequent physical activity in women to the same levels observed in men would reduce the gender gap by 9%. CONCLUSIONS: The findings suggest that women had a lower score in successful aging, which is attributed to several socioeconomic and behavioural factors including not working status and physical inactivity. More studies must be done to explore the reasons for such differences and what particular factors in low-income countries create differences among older men and women in achieving successful aging.

Physical reserve: construct development and predictive utility.

BACKGROUND: Physical reserve (PR) refers to one's ability to maintain physical functioning despite age, illness, or injury. The measurement and predictive utility of PR, however, are not well established. AIMS: We quantified PR using a residual measurement approach by extracting standardized residuals from gait speed, while accounting for demographic and clinical/disease variables, and used it to predict fall-risk. METHODS: Participants (n = 510; age ≥ 70ys) were enrolled in a longitudinal study. Falls were assessed annually (in-person) and bimonthly (via structured telephone interview). RESULTS: General Estimating Equations (GEE) revealed that higher baseline PR was associated with reduced odds of reporting falls over repeated assessments in the total sample, and incident falls among those without fall's history. The protective effect of PR against fall risk remained significant when adjusting for multiple demographic and medical confounders. DISCUSSION/CONCLUSION: We propose a novel framework to assessing PR and demonstrate that higher PR is protective against fall-risk in older adults.

Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms.

INTRODUCTION: The global society is currently facing a rise in the elderly population. The concept of successful aging (SA) appeared in the gerontological literature to overcome the challenges and problems of population aging. SA is a subjective and multidimensional concept with many ambiguities regarding its meaning or measuring. This study aimed to propose an intelligent predictive model to predict SA. METHODS: In this retrospective study, the data of 784 elderly people were used to develop and validate machine learning (ML) methods. Data pre-processing was first performed. First, an adaptive neuro-fuzzy inference system (ANFIS) was proposed to predict SA. Then, the predictive performance of the proposed model was compared with three ML algorithms, including multilayer perceptron (MLP) neural network, support vector machine (SVM), and random forest (RF) based on accuracy, sensitivity, precision, and F-score metrics. RESULTS: The findings indicated that the ANFIS model with gauss2mf built-in membership function (MF) outperformed the other models with accuracy, sensitivity, precision, and F-score of 91.57%, 95.18%, 92.31%, and 92.94%, respectively. CONCLUSIONS: The predictive performance of ANFIS is more efficient than the other ML models in SA prediction. The development of a decision support system (DSS) using our prediction model can provide healthcare administrators and policymakers with a reliable and responsive tool to improve elderly outcomes.

Mindfulness stress-buffering model of health: implications for successful aging.

OBJECTIVES: Age-related variations in emotional, physical, and cognitive health are poorly understood. This multimethod study extends previous work by investigating mechanistic models by which trait mindfulness, perceived stress, and negative affect (NA) influence health outcomes in adults aged 57-87 years old. METHOD: In this cross-sectional study, 119 adults completed clinical interviews, cognitive and gait assessments, the Mindful Attention and Awareness Scale, Positive and Negative Affect Schedule, and Perceived Stress Scale. Gait velocity and executive function (Flanker test of inhibitory control), which are important predictors of global health and functioning in older adults, served as objective health outcome measures. RESULTS: Correlational analyses found that trait mindfulness is positively associated with age, gait velocity, and inhibitory control and negatively associated with NA and perceived stress. NA but not perceived stress was associated with slower gait velocity. PROCESS mediation analyses suggested that those higher in trait mindfulness showed lower NA as a result of less perceived stress, while moderation analyses indicated the relationship between gait velocity and age varied by levels of trait mindfulness. CONCLUSION: Our findings are consistent with a mindfulness stress-buffering model of health. It is plausible that trait mindfulness, which has both mediating and moderating effects on health, might help to promote more successful aging and provide resilience to age-related declines in physical health.

Mindset matters: contributions from grit and growth mindsets to successful aging.

OBJECTIVE: Though we all age, some age more successfully than others. Health and social connections have been identified as cornerstones to successful aging, yet the contributions from psychological factors are less clear. Our goal was to examine the influence of grit and growth mindset in successful aging in middle and older age. We also assessed whether grit or growth mindset mediated the lifestyle-successful aging relationship. METHOD: We used a telephone questionnaire to measure grit and growth mindset, successful aging, and lifestyle for 263 adults, ages 40-80 years. RESULTS: Higher grit-effort and growth mindset predicted more successful aging in younger (40-64 years) and older groups (65-80 years). Additionally, exercise frequency predicted successful aging for the combined sample and partially mediated the relationship between growth mindset and successful aging. CONCLUSIONS: Our findings reveal grit-effort and a growth mindset as important contributors to successful aging in middle and older adulthood. Because psychological constructs are malleable, continued study of grit and growth mindsets is essential to enable their eventual application in changing the aging process.