Examining Age and Experience Differences in Use of Knowledge in the World in Everyday Technology Interactions

Speechreading and Aging

ObjectivesDrawing on the “Health and Aging in Africa: A Longitudinal Study of an INDEPTH community in South Africa” (HAALSI) baseline survey, we present data on older adults’ social networks and receipt of social support in rural South Africa. We examine how age and gender differences in social network characteristics matched with patterns predicted by theories of choice- and constraint-based network contraction in older adults.MethodWe used regression analysis on data for 5,059 South African adults aged 40 and older.ResultsOlder respondents reported fewer important social contacts and less frequent communication than their middle-aged peers, largely due to fewer nonkin connections. Network size difference between older and younger respondents was greater for women than for men. These gender and age differences were explicable by much higher levels of widowhood among older women compared to younger women and older men. There was no evidence for employment-related network contraction or selective retention of emotionally supportive ties.DiscussionMarriage-related structural constraints impacted on older women’s social networks in rural South Africa, but did not explain choice-based network contraction. These findings suggest that many older women in rural Africa, a growing population, may have an unmet need for social support.

Life satisfaction is strongly associated with participation in everyday life activities. Yet, older adults with cognitive impairments have been found to experience difficulties in accessing and engaging in more complex everyday activities, especially, if these involve everyday technology. Considering the rapidly advancing technological landscape, this may substantially affect individuals' life satisfaction and their participation in meaningful community-based and home-based activities. This study aimed to explore the associations between life satisfaction, ability to use everyday technology and number of relevant everyday technologies used in older adults (n=117) with and without mild cognitive impairment (MCI) and Alzheimer's disease (AD). It also aimed to understand the role of depression, activity involvement and diagnosis regarding life satisfaction in this sample. Descriptive statistics, Mann-Whitney U tests and t-tests were applied to compare those satisfied and those dissatisfied with life regarding ability to use everyday technology and number of relevant everyday technologies used. The number of relevant community-based everyday technologies currently not used was significantly associated with being dissatisfied with life (p<0.05). Further, depression and withdrawal from activities and interests significantly differed across life satisfaction groups, while no group differences were found regarding overall number of everyday technologies in use and ability to use everyday technology. Attention from healthcare professionals and researchers to early withdrawal from activities that rely on community-based everyday technologies is called for, especially in older adults with depression. Preventing everyday technology-related barriers in community life may increase life satisfaction.

Age differences in resting state EEG and their relation to eye movements and cognitive performance

We examined age differences in the use of different types of social support and the reasons for these differences. We found that older adults (age 60+) seek explicit social support less compared with young adults (age 18-25), but there is no difference in implicit social support seeking. Concerns about the potential social costs of seeking explicit support mediate the age differences in explicit social support seeking. Whereas young adults view this strategy as conferring more benefits than costs, older adults have a more balanced view of the costs and benefits of explicit social support seeking. Older and young adults do not differ in perceptions of the relative costs versus benefits of implicit social support seeking. Finally, we found older adults benefit more from implicit (vs. explicit) social support emotionally than young adults, which further explains why age groups differ in their use of explicit versus implicit social support.

Research and theory have shown a link between heart rate reactivity during cognitive testing and extraversion in younger adults; however, similar work has not been conducted with older adults. This study was designed to explore age and extraversion-related differences in within-person heart rate (HR) reactivity during two working memory tasks of varying difficulty using a multi-level modeling approach. Across 570 total within-person assessments of continuous HR monitoring, 28 younger adults (M = 19.76, SD = 1.15) and 29 older adults (M = 71.19, SD = 6.63) were administered two working memory tasks (backward digit span and n-back). There were no age differences in reactivity during the backward digit span. However, similar to previous findings, on the more difficult n-back task, younger adults low in extraversion showed a trend toward higher HR reactivity than young adults high in extraversion. Interestingly, the older adults showed the opposite pattern in that lower extraversion older adults were less reactive than the higher extraversion older adults who showed the steepest increase in HR. The HR increase of the older adults high in extraversion may be an indication of higher engagement in this more difficult task. Individual differences in extraversion need to be taken into account when administering working memory tasks in older adults.

Recent research suggests that affective and motivational processes can influence age differences in memory. In the current study, we examine the impact of both natural and induced mood state on age differences in false recall. Older and younger adults performed a version of the Deese–Roediger–McDermott (DRM; Roediger & McDermott, 1995, Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 803) false memory paradigm in either their natural mood state or after a positive or negative mood induction. Results indicated that, after accounting for age differences in basic cognitive function, age-related differences in positive mood during the testing session were related to increased false recall in older adults. Inducing older adults into a positive mood also exacerbated age differences in false memory. In contrast, veridical recall did not appear to be systematically influenced by mood. Together, these results suggest that positive mood states can impact older adults' information processing and potentially increase underlying cognitive age differences.

Sex differences in frailty among older adults

Telomere length (TL) is a biomarker that can be used to characterize variability in aging and may explain race/ethnic differences in aging. Yet, it remains unclear if TL is related to aging-associated health risks in multi-ethnic populations or if it explains race/ethnic differences in health. We examine whether salivary TL (STL) explains any of the race/ethnic variability in 15 indicators of high-risk biological, physical, and cognitive health among 4,074 White, Black, and Latinx older adults ages 54+ in the 2008 Health and Retirement Study. TL was assayed from saliva using quantitative PCR (T/S ratio). Decomposition analyses from logistic regression models show variation in STL does not account for any of the observed race/ethnic differences health. In age-adjusted, race-stratified models, STL was associated with HDL, total cholesterol, and lung function among Whites, but was not associated with any markers of health among Black or Latinx groups. In this diverse national sample of older adults, STL does not account for race/ethnic differences in late life health, is associated with relatively few indicators of health among Whites, and is not associated with indicators of health among Black or Latinx groups. STL may not be a useful biomarker for understanding racial/ethnic differences in population aging among older adults.

Item-level analysis allows for the examination of qualitative age and individual differences in skill acquisition, which are obscured when aggregating data across items. In the present study, item-level strategy shifts were generally gradual and variable, rather than abrupt and collective. Strategy shift reversions were frequent, and the total transition space was extensive, for both younger and older adults. Shift indices were highly variable between items for both younger and older adults. Age differences in item-level shift patterns suggest that older adults' greater conservatism in strategy selection leads to more gradual strategy shift transitions for individual items as well as to more collective strategy shifts.

Theories of emotional aging have proposed that age differences in emotion regulation may partly explain why older adults report high levels of emotional well-being despite declines in other domains. The current research examined age differences and similarities in emotion regulatory tactic preferences across 5 laboratory tasks designed to measure the strategies within the process model of emotion regulation (situation selection, situation modification, attentional deployment, cognitive change, and response modulation). An adult life span sample (ages 20-78, N = 225) completed tasks offering opportunities to use tactics that decrease negative, increase positive, or engage with negative aspects of the situation. Overall, age similarity in tactic preferences (supported by Bayes factors) was much more common than age differences. Across the sample, participants favored avoiding negative aspects in situation selection and modification and seeking or introducing positive aspects in attentional deployment and cognitive change. Self-reports of affect suggest that older adults were more responsive to positive aspects of the situation, although they did not seek them out more than other age groups. These results cast some doubt on the assumption that spontaneous emotion regulation is more likely in older age, but rather show that both younger and older adults show similar preferences in the absence of other strong goals. This novel approach of examining strategies across the process model highlights benefits of comparing multiple tactics within strategies not only when examining possible age differences, but also when studying patterns of emotion regulation in general. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The purposes of this study were to examine age and gender differences in knee extensor strength, power, and fatigue using open- and closed-chain testing procedures. We tested the hypothesis that specific strength (strength/unit muscle mass) would not differ by age, whereas age differences in specific power and fatigue would remain consequent to blunted maximal contractile velocity. Skeletal muscle performance was examined in 28 young (26.9 +/- 0.7 yr) and 24 older (63.6 +/- 0.8 yr) men and women. Assessments included one-repetition maximum strength for knee extension, leg press, and squat; concentric knee extensor peak power, velocity, and fatigability; and sit-to-stand power, fatigability, and relative neural activation (electromyograph activity during sit-to-stand movement normalized to electromyograph activity during isometric maximum voluntary contraction). Thigh lean mass (TLM; kg) was assessed by dual-energy X-ray absorptiometry. Specific strength (N/kg TLM) and specific power (W/kg TLM) were estimated by dividing absolute values by TLM. Age differences in specific strength were observed for knee extension only (young, 41.2 +/- 1.0 N/kg TLM; older, 32.4 +/- 1.0 N/kg TLM; P < 0.05). Adjustment for TLM did not negate age differences in knee extension specific power (25-41% lower in older; P < 0.05) across loads tested. Older adults experienced fatigue across 10 repetitions of knee extension as peak velocity fell by 24% (P < 0.05). Deficits in concentric power persist after adjustment for TLM as maximum contractile velocity falls markedly with aging. Older adults are less capable of sustaining maximum concentric velocity during repetitive contractions. These findings suggest that velocity impairments are a possible contributor to mobility loss and falls risk among older adults. Interventions for improving contractile velocity should be pursued.

We examined age differences in the perception of emotion from facial expressions, testing the impact of future time perspective on positivity effects and emotion complexity. Perception of emotion was assessed in older (n = 111) and younger (n = 127) adults using facial expressions depicting clearly expressed and ambiguous emotions. A more open-ended judgment paradigm was used, and time perspective was experimentally manipulated. Older adults perceived more positive affect in the expressions compared with younger adults. Ambiguity of the expression modulated these age differences, as older adults perceived more positive emotion in ambiguous expressions compared with younger adults. Emotion complexity emerged only in perception of negative expressions, with older adults seeing more mixed affect in the clear expressions than younger adults. Manipulation of future time perspective eliminated age differences in perception of positive affect. Age differences in the perception of emotional expressions showed positivity effects, especially for ambiguous facial expressions. These effects were related to time perspective rather than to age per se. The understanding of the positivity effect in older adults needs to consider the proposed causal role of limited time perspective rather than assuming positivity effects in all older adults.

In this study, we hypothesized that there is an age difference in the influence of negative emotion on decision-making and that this age difference is related to emotion regulation strategies. We carried out two studies. In the first, the older and younger adults completed the ultimatum game (UG) while in either an induced negative emotional or a neutral context. In the second, both the older and younger adults completed the UG while in an induced negative emotion while using either emotion reappraisal or expressive suppression to regulate their emotions during the task. The first study showed that, unlike younger adults, the older adults made similar choices in the neutral and negative induction groups. In addition, the older adults predominantly used a reappraisal strategy in both the negative and neutral emotional states, whereas the younger adults predominantly used a suppression strategy in the negative emotional state. In the second study, after the emotion regulation strategies were experimentally manipulated so that both age groups used the same strategy, we found no age difference in decision-making. Our findings indicated that the influence of negative emotion on decision-making differs between older and younger adults and that this age difference was associated with their different emotion regulation processes.

The present study had two main objectives. The first objective was to compare the sleep architecture of young and older adults, with an emphasis on sleep spindle density and REM density. The second objective was to examine two aspects of age differences that have not been considered in previous studies: age differences in the variability of sleep measures as well as the magnitude of age differences in phasic events across the distribution of values (i.e., at each decile rather than a single measure of location such as the mean or median. A total of 24 young (mean age = 20.75±1.78 years) and 24 older (mean age = 71.17±6.15 years) adults underwent in-home polysomnography. Whole-night spindle density was significantly higher in young adults than older adults. The two age groups did not differ significantly in whole-night REM density, although significant increases in REM density across the night were observed in both age groups. These results suggest that spindle density is more affected by age than REM density. Although age differences were observed in the degree of absolute variability (older adults had significantly larger variances than young adults for sleep efficiency and time spent awake after sleep onset), a similar pattern was also observed within the two age groups: the four sleep measures with the lowest degrees of relative variability were the same and included time spent in REM and Stage 2 sleep, total sleep time, and sleep efficiency. The distributional analysis of age differences in sleep spindle density revealed that the largest age differences were initially observed in the middle of the distributions, but as the night progressed, they were seen at the upper end of the distributions. The results reported here have potential implications for the causes and functional implications of age-related changes in sleep architecture.