Daily fluctuations in subjective age and depressive symptoms: the roles of attitudes to ageing and chronological age

2022 ◽  
Author(s):  
Dikla Segel-Karpas ◽  
Amit Shrira ◽  
Ella Cohn-Schwartz ◽  
Ehud Bodner
Keyword(s):  
Depressive Symptoms ◽  
Chronological Age ◽  
Subjective Age

The Association Between Subjective Age and Motoric Cognitive Risk Syndrome: Results From a Population-Based Cohort Study

2021 ◽  
Author(s):  
Yannick Stephan ◽  
Angelina R Sutin ◽  
Brice Canada ◽  
Antonio Terracciano
Keyword(s):  
Depressive Symptoms ◽  
Gait Speed ◽  
Physical Inactivity ◽  
Demographic Factors ◽  
Population Based ◽  
Chronological Age ◽  
Subjective Age ◽  
Cognitive Complaints ◽  
Cognitive Risk ◽  
Dementia Risk

Abstract Objectives The motoric cognitive risk (MCR) syndrome, characterized by cognitive complaints and slower gait speed, is a predementia syndrome associated with dementia and mortality risk. The present study examined whether subjective age, that is, how old or young individuals feel relative to their chronological age, is related to concurrent and incident MCR syndrome. A relation between subjective age and MCR will inform knowledge on psychological factors related to dementia risk, identify who is at greater risk, and suggest a potential target of intervention. Methods The study sample was composed of 6,341 individuals aged 65–107 years without dementia from the Health and Retirement Study, a longitudinal study of adults aged 50 years and older. Participants completed measures of subjective age, cognitive complaints, and gait speed and provided information on demographic factors, cognition, physical activity, depressive symptoms, and body mass index (BMI) at baseline in 2008/2010. Incident MCR was assessed 4 and 8 years later. Results Controlling for demographic factors, an older subjective age was related to more than 60% higher likelihood of MCR at baseline and to around 50% higher risk of incident MCR over time. These associations remained significant when cognition, physical inactivity, depressive symptoms, and BMI were included in the analytic models. Discussion This study provides evidence that how old individuals feel is related to concurrent and incident MCR beyond the effect of chronological age, other demographic factors, physical inactivity, depressive symptoms, BMI, and cognitive functioning.

scholarly journals INFLUENCING FACTORS OF SUBJECTIVE AGE: FINDINGS FROM THE KUSATSU LONGITUDINAL STUDY ON AGING AND HEALTH

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S695-S696
Author(s):  
Tomoko Ikeuchi ◽  
Satoshi Seino ◽  
Yu Taniguchi ◽  
Miki Narita ◽  
Takumi Abe ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Cognitive Function ◽  
Influencing Factors ◽  
Community Dwelling ◽  
Chronological Age ◽  
Social Changes ◽  
Subjective Age ◽  
Age Related ◽  
Years Of Schooling

Abstract Background: Subjective age (SA) has been found to be a biopsychosocial marker of aging, yet little is known about factors that influence SA development. This study examined factors influencing SA using longitudinal data of community-dwelling older Japanese. Methods: Data drawn from the Kusatsu Longitudinal Study were collected during annual health check-ups in 2017 and 2018 from participants (aged 65-95) who completed all the measurement items used for this analysis (N=981). SA was indexed by asking participants to specify in years how old they felt. Proportional discrepancy scores ((subjective age - chronological age)/chronological age ×100) were calculated to indicate younger or older SAs and used as a dependent variable. As influencing factors of SA, chronological age, sex, years of schooling, history of smoking, cognitive function (using MMSE scores, range 14-30 at baseline), depressive symptoms, physical function (gait speed), and social function (employment status) were examined. Analyses were performed with random-effects GLS regression models. Results: Significant partial regression coefficients were found for cognitive function (0.48%, CI: 0.18, 0.79), years of schooling (-0.42%, CI: -0.69, -0.15), depressive symptoms (0.32%, CI: 0.11, 0.53), and chronological age (-0.18%, CI: -0.30, -0.68). Implications: This study found that older age and longer years of schooling were associated with younger SA, while better cognition and depressive symptoms were linked to older SA. Better cognition being associated with older SA was inconsistent with existing studies. This may be due in part to the association of better cognition and the level of satisfaction influenced by awareness of age-related physical/social changes.

scholarly journals DAILY FLUCTUATIONS IN SUBJECTIVE AGE AND MENTAL HEALTH: THE ROLES OF CHRONOLOGICAL AGE AND ATTITUDES TO AGING

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S51-S51
Author(s):  
Dikla Segel-Karpas ◽  
Amit Shrira ◽  
Ehud Bodner
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Daily Variation ◽  
Moderating Effect ◽  
Chronological Age ◽  
Subjective Age ◽  
Physical Changes

Abstract Studies indicate that subjective age – individuals’ perception of their own age as older or younger than their chronological age, is related to their depressive symptoms. Less is known about the role that attitudes towards aging might play in this regard. 334 participants (age 30-90, M=58.15) reported their subjective age and depressive symptoms every day for a period of 14 days. Attitudes to aging were measured at baseline. Results indicated that daily subjective age was related to daily variation in depressive symptoms. Furthermore, we found that attitudes to aging (psychosocial losses, gains and physical changes) moderated the subjective age-depression relationship, such that it was stronger when psychosocial losses were high, and when physical changes and gains were low. The moderating effect of losses was especially prominent for older participants. This indicates that the general perception of aging moderates the toll that feeling old takes on mental health.

scholarly journals Bidirectional Relationship Between Subjective Age and Frailty: Findings From the NHATS

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 271-271
Author(s):  
Yuxiao Li ◽  
Minhui Liu ◽  
Christina Miyawaki ◽  
Xiaocao Sun ◽  
Tianxue Hou ◽  
...  
Keyword(s):  
Older Adults ◽  
Clinical Syndrome ◽  
Community Dwelling ◽  
Chronological Age ◽  
Subjective Age ◽  
Bidirectional Relationship ◽  
Study Participants ◽  
Community Dwelling Older Adults ◽  
The Relationship ◽  
Hispanic White

Abstract Frailty is a clinical syndrome that becomes increasingly common as people age. Subjective age refers to how young or old individuals experience themselves to be. It is associated with many risk factors of frailty, such as increased depression, worse cognitive function, and poorer psychological wellbeing. In this study, we examined the relationship between subjective age and frailty using the 2011-2015 waves of the National Health and Aging Trends Study. Participants were community-dwelling older adults without frailty in the initial wave (N=1,165). Subjective age was measured by asking participants, “What age do you feel most of the time?” Based on the Fried five phenotypic criteria: exhaustion, unintentional weight loss, low physical activity, slow gait, and weak grip strength, frailty was categorized into robust=0, pre-frail=1 or 2; frail=3 or more criteria met. Participants were, on average, 74.1±6.5 years old, female (52%), and non-Hispanic White (81%). Eighty-five percent of the participants felt younger, and 3% felt older than their chronological age, but 41% of them were pre-frail/frail. Generalized estimating equations revealed that an “older” subjective age predicted a higher likelihood of pre-frailty and frailty (OR, 95%CI= 1.01, 1.01-1.02). In contrast, frailty predicted an “older” subjective age (OR, 95%CI= 2.97, 1.65-5.35) adjusting for demographics and health conditions. These findings suggest a bidirectional relationship between subjective age and frailty. Older people who feel younger than their chronological age are at reduced risk of becoming pre-frail/frail. Intervention programs to delay frailty progression should include strategies that may help older adults perceive a younger subjective age.

Youthful and Older Biases as Special Cases of a Self-Age Optimization Bias

1996 ◽  
Vol 43 (4) ◽  
pp. 267-276 ◽  
Author(s):  
Sara Staats
Keyword(s):  
College Students ◽  
Older Persons ◽  
Older Age ◽  
Chronological Age ◽  
Subjective Age ◽  
Special Cases ◽  
Age Range

Two concepts of subjective age are measured for two cohorts (college students and older persons with an age range of 50 to 91 years). Functional age (Kastenbaum et al., 1972 Ages-of-Me Scale [1]) shows the typical youthful bias for the older cohort. An older bias is shown for the Best/Ideal Age by the older cohort in comparison to the younger cohort. Taken together, the youthful bias, being like someone of younger chronological age, and the bias of selecting a relatively older age as best represents a “Self Age Optimization Bias.” A sub-set of Best Age items dealing with work and career are identified for gender and cohort comparisons.

Subjective Age and Late-Life Functional Status: Mediating and Moderating Effects

2021 ◽  
Author(s):  
Joel R Petashnick ◽  
Amit Shrira ◽  
Yaakov Hoffman ◽  
Yuval Palgi ◽  
Gitit Kavé ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Functional Status ◽  
Objective Measure ◽  
Later Life ◽  
Underlying Mechanism ◽  
Integrative Model ◽  
Subjective Age ◽  
Longitudinal Relationships

Abstract Objectives The present study examined the longitudinal relationships between subjective age (SA) and future functional status in later life, via depressive symptoms. Additionally, we assessed the role of subjective nearness to death (SNtD) as a potential moderator within these pathways. Methods Older adults (average age 81.14 at T1) were interviewed once a year for three consecutive years (N=224 at T1, N=178 at T2, and N=164 at T3), Participants reported their SA, SNtD, depressive symptoms, and functional status. Additionally, grip strength was employed as an objective measure of functional status. Results Data analysis revealed distinct pathways leading from T1 SA to T3 functional status through T2 depressive symptoms. Moreover, T1 SNtD was found to significantly moderate most of these indirect pathways, so that the mediation model of T1 SA-T2 depressive symptoms-T3 functional status was mostly significant among those who felt closer to death. Discussion The findings contribute to our understanding of the underlying mechanism through which SA predicts long-term functioning sequelae by underscoring the indirect effect of depressive symptoms. They further indicate the importance of gauging the effects of SNtD on these longitudinal relationships. Present results may further contribute to establishing an integrative model for predicting long-term functional outcomes based on older adults' earlier subjective views of aging.

The moderating effect of subjective age on the association between depressive symptoms and cognitive functioning in Korean older adults

2017 ◽  
Vol 23 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Eun Young Choi ◽  
Young Sun Kim ◽  
Hee Yun Lee ◽  
Hye Ri Shin ◽  
SeolWoo Park ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Cognitive Functioning ◽  
Moderating Effect ◽  
Subjective Age

Diagnoses of Chronic Health Conditions and Change in Subjective Age: The Moderating Role of Chronological Age

2021 ◽  
Author(s):  
Anyah Prasad ◽  
Edward Alan Miller ◽  
Jeffrey A Burr ◽  
Kathrin Boerner
Keyword(s):  
Sense Of Self ◽  
Age Groups ◽  
Disease Diagnosis ◽  
Chronic Health Condition ◽  
Chronic Health Conditions ◽  
Health Conditions ◽  
Chronological Age ◽  
Subjective Age ◽  
Future Health ◽  
Chronic Health

Abstract Background and Objectives Health is a predictor of subjective age, and although inconclusive, the strength of this association is not uniform across different age groups. This study investigates if new diagnoses of chronic health conditions are associated with a change in subjective age and if chronological age moderates this relationship. Research Design and Methods Using data from the Health and Retirement Study, residualized change regression analysis was performed for a sample of 5,158 respondents older than 50 years to examine their subjective age in 2014 relative to that reported in 2010. The main predictor was the number of chronic health conditions newly diagnosed between 2010 and 2014. Chronological age in 2010 was the moderator. Results Results showed that each new diagnosis of a chronic health condition was significantly associated with a 0.68-year increase in subjective age reported in 2014, compared to subjective age reported in 2010. However, this increase in subjective age was attenuated by 0.05 years for each additional year in 2010 chronological age. Discussion and Implications According to Social and Temporal Comparison theories, people compare themselves to their age peers and earlier selves. Given expectations for better health at younger chronological ages, being diagnosed with chronic health conditions may have a stronger association with subjective age among middle-aged persons as compared to older persons. The findings suggest that subjective age may be used as a screening tool to predict how chronic disease diagnosis may influence peoples' sense of self, which in turn shapes future health.

Subjective Time Experience in an Intergenerational Sample

1981 ◽  
Vol 13 (3) ◽  
pp. 183-193 ◽  
Author(s):  
Pamela E. Cooper ◽  
L. Eugene Thomas ◽  
Scott J. Stevens ◽  
David Suscovich
Keyword(s):  
Age Differences ◽  
Chronological Age ◽  
Subjective Time ◽  
Subjective Age ◽  
Age And Gender ◽  
Men And Women ◽  
Adult Men ◽  
Time Experience ◽  
The Difference ◽  
And Gender

The roles chronological age and gender play in subjective time experience were explored in a sample of 294 adult men and women. Subjective time experience (STE: the difference between subjective age and chronological age) was found to vary widely among individuals, with some being “accurate” (SA = CA), and others either “retarded” (SA < CA) or “advanced” (SA > CA). Males were more retarded in STE than females at every point in the lifespan, and patterns of age differences in adulthood differed for the two sexes as well. The results suggest that chronological age may play a key role in transitions in STE, and that chronological age is more significant in the STE of women than in the STE of men.

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