Awareness of age-related change, future time perspective, and implications for goal adjustment in older adulthood

Physical and mental health conditions account for variability in awareness of age-related changes

Background

The concept of Awareness of Age-Related Changes captures people's perceptions of the positive (AARC-gains) and negative (AARC-losses) age-related changes they experience in several life domains, including their health. We investigated the cross-sectional associations of number and type of physical and mental health conditions with AARC-gains and AARC-losses.

Methods

The sample comprised 3,786 middle-aged and older adults (mean age = 67.04 years; SD = 6.88) participating to the UK PROTECT study. We used hierarchical regression models to analyze whether after having included sociodemographic variables (model 1), number of physical (model 2) and of mental (model 3) health conditions explained a significant additional amount of variance in AARC-gains and AARC-losses, and whether the association between number of conditions and AARC depended on participants' age. We used multiple regression models to analyze the associations of types of physical and mental health conditions with AARC-gains and AARC-losses.

Results

A higher number of physical health conditions was associated with higher AARC-gains and higher AARC-losses, but the association did not depend on participant age. After controlling for the number of physical health conditions, a higher number of mental health conditions was associated with higher AARC-losses but not with AARC-gains, and the association was stronger among older participants. Small effects were found between greater AARC-gains and current cancer and between greater AARC-losses and diagnoses of mild cognitive impairment, Parkinson's disease, arthritic condition, cancer in full remission, osteoporosis, depression, anxiety disorders, and personality disorder. The remaining health conditions were either negligibly or non-statistically related to AARC-losses.

Conclusion

Middle-aged and older adults having more physical health conditions and more mental health conditions may be at higher risk of negative views on their own aging. However, specific physical health conditions, such as arthritis, and certain mental health conditions, such as depression, may make adults particularly vulnerable to negative age-related perceptions.

Biologia Futura: does the aging process contribute to the relativity of time?

In his Theory of relativity, Einstein determined that the time is relative to the reference frame of the observer. Under specific conditions, there is a difference in the elapsed time between two clocks, known as time dilation. A similar relativistic effect could be attributed to the brain operating at different frequencies, e.g., while it is slow and during the thought process. Time flow and the aging process are causally linked. Herein, we introduce physical relativity into the mind/thought context and elaborate changed perception of the time flow (the impression of the time acceleration) with aging. The phenomenology of time is observed in the context of physical and biological clock, as well as by introducing the category of 'mind time.' Mental processing impairment is crucial for the "aging-caused relativity of time," while adjusting of its' perception seems to be a matter of body/mind rest, mental hygiene and physical activity of the aging subject. We also provide a brief overview of the perception of time flow in some disease states that coincide with aging. Our main idea has a perspective for future development in the interdisciplinary synergy of philosophy, physical-mathematical elaboration, experimental biology and clinical investigations.

What does feeling younger or older than one's chronological age mean to men and women? Qualitative and quantitative findings from the PROTECT study

OBJECTIVE

We explored which factors are associated with subjective age (SA), i.e. feeling younger, the same as, or older than one's chronological age, and whether these factors differ between men and women and between two age sub-groups.

DESIGN

Cross-sectional study using qualitative and quantitative data for 1457 individuals (mean age= 67.2 years).

MAIN OUTCOME MEASURES

Participants reported how old they feel they are and provided comments in relation to their SA judgments.

RESULTS

By using content analysis participants' comments were assigned to 13 categories, grouped into three higher-order categories (antecedents of age-related thoughts, mental processes, and issues when measuring subjective age). SA may result from the interaction between factors that increase or decrease age-related thoughts and mental processes that individuals use to interpret age-related changes. Chi-squared tests show that individuals reporting an older SA are more likely to experience significant negative changes and to engage in negative age-related thoughts than individuals reporting an age-congruent SA or a younger SA. Women experience a more negative SA and more age-salient events than men.

CONCLUSION

Individuals reporting an older SA may benefit from interventions promoting adaptation to negative age-related changes. There is the need to eradicate negative societal views of older women.

Cross-Sectional and Longitudinal Associations between Subjective Sleep Difficulties and Self-Perceptions of Aging

BACKGROUND

Only one study has explored the associations of subjective sleep difficulties with self-perceptions of aging. It focused on a global indicator of self-perceptions of aging (subjective age) despite individuals reporting different experiences of aging in relation to different life domains. The concept of awareness of negative age-related change, capturing perceived losses across five domains (e.g., physical health, cognition), may be more appropriate when relating subjective sleep difficulties to self-perceptions of aging. We examined whether nine different indicators of subjective sleep difficulties predict levels of awareness of negative age-related change and subjective age, measured concurrently and one year later, while controlling for covariates (mood and daily function).

PARTICIPANTS/METHODS

We used data from the PROTECT cohort study; 4,482 UK residents (mean age = 66.1; SD = 6.9) completed measures of awareness of age-related change, subjective age, mood, daily function, and subjective sleep difficulties.

RESULTS

Based on linear regression analyses, poorer quality of sleep, lower alertness after awakening, satisfaction with sleep, depth of sleep, more frequent early awakening, difficulty falling asleep, more times awake during a night, fewer hours of sleep during the night and more hours of sleep during the day predicted higher awareness of negative age-related change at baseline and follow-up (p< .001). Associations were small in size. Associations between subjective sleep difficulties and subjective age were either negligible or statistically non-significant.

CONCLUSIONS

Although subjective sleep difficulties are one of the many factors associated with awareness of negative age-related change, addressing sleep difficulties, alongside negative mood, and poor daily functioning, may promote a small additional increase in positive self-perceptions of aging.

Exploring awareness of age-related changes among over 50s in the UK: findings from the PROTECT study

OBJECTIVES

Older people describe positive and negative age-related changes, but we do not know much about what contributes to make them aware of these changes. We used content analysis to categorize participants' written comments and explored the extent to which the identified categories mapped onto theoretical conceptualizations of influences on awareness of age-related change (AARC).

DESIGN

Cross-sectional observational study.

PARTICIPANTS

The study sample comprised 609 UK individuals aged 50 years or over (mean (SD) age = 67.9 (7.6) years), enrolled in the PROTECT study.

MEASUREMENTS

Between January and March 2019, participants provided demographic information, completed a questionnaire assessing awareness of age-related change (AARC-10 SF), and responded to an open-ended question asking them to comment on their responses.

RESULTS

While some of the emerging categories were in line with the existing conceptual framework of AARC (e.g. experiencing negative changes and attitudes toward aging), others were novel (e.g. engagement in purposeful activities or in activities that distract from age-related thoughts). Analysis revealed some of the thought processes involved in selecting responses to the questionnaire items, demonstrating different ways in which people make sense of specific items.

CONCLUSIONS

Results support the ability of the AARC questionnaire to capture perceived age-related changes in cognitive functioning, physical and mental health, and engagement in social activities and in healthy and adaptive behaviors. However, findings also suggest ways of enriching the theoretical conceptualization of how AARC develops and offer insights into interpretation of responses to measures of AARC.

Awareness of age-related gains and losses as moderators of daily stress reactivity in middle- and older-adulthood

Objectives

Associations between awareness of one's own aging and wellbeing have received increasing attention in the field of gerontology over the last decade. The current study examines how between-person differences and within-person fluctuations of awareness of age-related change (AARC) relate to daily negative affect and vitality. Of key interest was the extent to which fluctuations in AARC moderated reactivity to stressor exposure. We predicted that higher positive perceptions of aging (AARC-gains) would buffer the relationship between daily stressors and negative affect/vitality. Conversely, we expected that higher negative perceptions (AARC-losses) may exacerbate the relationship between daily stressors and the outcome variables.

Methods

Data were collected from a community-based sample of 152 Australian adults aged 53-86 (M = 69.18, SD = 5.73). For 10 consecutive days, participants completed surveys on their smartphones measuring daily stressors, AARC, and affect (positive and negative). Bayesian hierarchical linear models were used to examine whether AARC-gains and AARC-losses moderated within-person associations of daily stressors and affect (i.e., stress reactivity).

Results

At the between-person level, higher AARC-gains was associated with lower negative affect and higher vitality, whereas those reporting higher AARC-losses scored higher on negative affect and lower on vitality. Within-person variables revealed that on days when AARC-gains was higher and AARC-losses was lower, this corresponded with lower negative affect and higher vitality. There was no evidence in support of individual moderating effects of within-person AARC-losses or within-person AARC-gains on stress reactivity. A trend was evident in support of a three-way WP Stress severity × WP AARC-gains × WP AARC-losses interaction in the prediction of negative affect, indicating that on days when AARC-losses was higher, the association of stress severity with negative affect was weaker if AARC-gains was higher. Follow-up analyses modeling quadratic stress severity revealed a trend suggesting an interaction of within-person stress severity and within-person AARC-losses.

Discussion

Results indicate that both individual differences and short-term fluctuations in AARC are associated with daily negative affect and vitality. The results provided qualified support for a possible protective role of AARC-gains in the context of stress reactivity.

Differences in awareness of positive and negative age-related changes accounting for variability in health outcomes

Higher awareness of positive age-related changes (AARC gains) is related to better mental health, whereas higher awareness of negative age-related changes (AARC losses) is related to poorer mental and physical health. So far perceived gains and losses have been explored separately, but people report gains and losses concurrently in varying degrees, and different profiles of gains and losses may be differentially associated with health. We identified profiles of gains and losses and explored whether different profiles differed in physical, mental, and cognitive health. We used cross-sectional data from the PROTECT study (N = 6192; mean (SD) age = 66.1 (7.0)). Using latent profile analysis, a four-class solution showed the best model fit. We found that 45% of people perceived many gains and few losses (Class 1); 24% perceived moderate gains and few losses (Class 2); 24% perceived many gains and moderate losses (Class 3); 7% perceived many gains and many losses (Class 4). Analysis of variance and Chi-squared tests showed that Class 1 had relatively better physical, mental, and cognitive health, followed by Classes 2, 3, and 4. Experiencing one's ageing to a high degree as gain may be related to better health only when individuals interpret ageing as involving low levels of loss across several life domains. Risk in terms of poorer health emerged in those who perceived high losses. Considering gains and losses in parallel, rather than separately, may lead to a more fine-tuned understanding of relations with health.

Awareness of age-related changes in Norwegian individuals 50+. Short form questionnaire validation

BACKGROUND

A questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany, and validated for the UK and Brazilian populations. In this study, we validated the short-form measure (AARC-10 SF) in the Norwegian population aged 50 and over. In addition, the relationship between cognitive variables and AARC was examined.

METHODS

Cross-sectional analyses of data from 1,510 participants in the ongoing online PROTECT Norge study were used to explore and confirm the two-factor structure of AARC gains and AARC losses; reliability; measurement invariance across different population groups defined by sex, education level, employment, and in middle age, early old age, and advanced old age. We explored the relationship between AARC and demographic variables (defined in the same way as the population groups).

RESULTS

We confirmed the two-factor structure (gains and losses) of the Norwegian translation of the AARC-10 SF. We did not find mutual correlations between related items in gains and losses, except for the physical health item from the gains dimension, which was positively correlated with all items of the losses dimension. Age, sex, marital status, employment, and university education predicted AARC gains and losses.

CONCLUSION

The Norwegian translation of the AARC-10 SF captures individuals' positive and negative self-perceptions of age-related changes in their mental, physical, and cognitive health.

Awareness of age-related change, chronological age, subjective age and proactivity: An empirical study in China

An aging workforce and the increasing value placed on employees' proactivity are two important features of current workplaces. We address the extent to which this proactivity is affected by age and aging. The study has two objectives. First, it aims to validate the concept of awareness of age-related change (AARC) in the Chinese context. Second, it compares the explanatory power of AARC with that of chronological age and subjective age in predicting three types of proactivity: task proactivity, development proactivity and organization proactivity. We used the ten-item AARC instrument in a survey of teachers (n = 421, mean age = 41.0) in China, and validated its content by comparing the responses of a subsample of these teachers (n = 33, mean age = 42.5) to questions asked in a semi-structured interview. This confirmed the validity of the instrument's content, and its applicability beyond North America and Europe, in a Chinese context. We then show that awareness of positive and negative age-related changes (AARC-Gains and AARC-Losses) are, respectively, positively and negatively associated with the three types of proactivity, and that they are better predictors than chronological age and subjective age. The research adds weight to challenges to negative age stereotyping--that older employees are set in their ways and less proactive--and to claims about the value of AARC for measuring aging, by showing that this factor can predict outcomes beyond health and the concerns of older adults.

Subjective perceptions of age-related gains buffer negative associations of perceived age-related losses with health, well-being, and engagement

People reflect on their own aging, and this subjective awareness has an influence on developmental outcomes. Scholars have recently operationalized subjective aging in terms of awareness of age-related change (AARC), which captures awareness of both gains and losses. We examined associations of AARC-gains and AARC-losses with physical functioning, subjective well-being, and engagement with life (enjoyable activities and sense of purpose). Importantly, we extended previous research by not only assessing main effects of gains and losses but also testing their interaction. We hypothesized that awareness of losses would be more weakly negatively associated with health and well-being among those who possessed higher awareness of gains. A total of 399 older participants aged 65 to 91 (235 women and 164 men) were recruited via Prime Panels crowd-sourcing platform to complete an online questionnaire. Greater AARC-losses was associated with poorer health, lower subjective well-being, and lower sense of purpose. AARC-gains was associated with better outcomes in general, and moderated associations of AARC-losses with physical functioning, subjective well-being, and sense of purpose (but not engagement in leisure activities). Consistent with predictions, moderation effects showed that negative associations of AARC-losses with the outcomes were weaker among those who reported higher AARC-gains. Results provided some support for a role of AARC-gains in buffering negative effects of AARC-losses on developmental outcomes.

Awareness of age-related gains and losses and their associations with psychological well-being: A longitudinal examination

OBJECTIVES

How people experience their own aging is more strongly linked to well-being than chronological age. This study examined associations of awareness of age-related change (AARC) with between-person differences and longitudinal changes in psychological well-being (PWB). We expected that higher AARC-gains would be associated with higher PWB and increases in PWB over time. Conversely, we expected higher AARC-losses would be associated with lower PWB, and steeper decline in PWB over time. Furthermore, we tested the interaction of AARC-gains and AARC-losses to examine whether negative associations between AARC-losses and PWB would be weaker among those reporting higher AARC-gains.

METHOD

Data were collected in three waves from a 12-month longitudinal study of 408 community-dwelling older adults (aged 60+). Multilevel growth models were used to analyze associations between AARC and a composite measure of PWB which included key components of PWB identified in self-determination theory (satisfaction and frustration of basic psychological needs), as well as vitality, and life engagement.

RESULTS

At the between-person level, higher AARC-gains and lower AARC-losses were consistently associated with higher PWB. Furthermore, associations between AARC-losses and lower PWB were weaker among those with higher AARC-gains. There was no evidence to suggest the interplay of AARC-gains and AARC-losses had implications for change in PWB over time.

DISCUSSION

Appreciation of age-related gains may buffer the impact of AARC-losses on PWB. However, longitudinal studies conducted over varying macro- and micro-time scales are needed to better understand the developmental significance of AARC for later life.