Age differences in big five behavior averages and variabilities across the adult life span: Moving beyond retrospective, global summary accounts of personality.

Age Differences in Behaviors Leading to Completed Suicide

Introduction: The use of shared automated vehicles (SAVs) should lead to several societal and individual benefits, including reduced greenhouse gas emissions, reduced traffic, and improved mobility for persons who cannot safely drive themselves. We define SAVs as on-demand, fully automated vehicles in which passengers are paired with other riders traveling along a similar route. Previous research has shown that younger adults are more likely to report using conventional ridesharing services and are more accepting of new technologies including automated vehicles (AVs). However, older adults, particularly those who may be close to retiring from driving, stand to greatly benefit from SAV services. In order for SAVs to deliver on their aforementioned benefits, they must be viewed favorably and utilized. We sought to investigate how short educational and/or experiential videos might impact younger, middle-aged, and older adult respondents’ anticipated acceptance and attitudes toward SAVs. Knowing what types of introductory experiences improve different age groups’ perceptions of SAVs will be beneficial for tailoring campaigns aiming to promote SAV usage. Methods: We deployed an online survey using the platform Prolific for middle-aged and older respondents, and our departmental participant pool for younger adults, collecting 585 total responses that resulted in 448 valid responses. Respondents answered questions regarding their demographic attributes, their ridesharing history, preconceptions of technology, as well as their anticipated acceptance attitudes towards SAVs as measured by the dimensions of the Automated Vehicle User Perception Survey (AVUPS). After this, respondents were randomly assigned to an intervention condition where they either watched 1) an educational video about how SAVs work and their potential benefits, 2) an experiential video showing a AV navigating traffic, 3) both the experiential and educational videos, or 4) a control video explaining how ridesharing works. Anticipated acceptance attitudes towards SAVs were measured again after this intervention and difference scores calculated to investigate the effect of the intervention conditions. Prolific respondents were paid at a rate of $9.50/hour and younger adults received course credit. Results: Controlling for preconceptions of technology and ridesharing experience, a MANOVA was run on the difference scores of the dimensions of the AVUPS (intention to use, trust/reliability, perceived usefulness (PU), perceived ease of use (PEOU), safety, control/driving-efficacy, cost, authority, media, and social influence). Both older and middle-aged adults expressed significantly greater increases in PEOU and PU of SAVs than younger adults. We also observed an interaction between age and condition for both PU and PEOU. For PU, older adults’ difference scores were found to be significantly greater than younger adults’ for the control video condition. With PEOU, older adults’ difference scores were significantly greater than both younger adults’ for the control video condition, and middle-aged adults had greater difference scores for the educational-only video condition than younger or older adults. Discussion: The increases in PU observed for older adults in the control condition suggests that educating them on how to use currently available ridesharing services might transfer to and/or highlight the benefits that automated ridesharing might provide. The PEOU interactions also suggest that middle-aged adults might respond more positively than younger or older adults to an educational introduction to SAVs. Conclusion: The positive findings pertaining to PU and PEOU show that exposure to information related to SAVs has a positive impact on these attitudes. PU’s and PEOU’s positive relationship to behavioral intentions (BI) in the Technology Acceptance Model, coupled with the findings from this study, bode well for higher fidelity interventions seeking to inform and/or give individuals experience with SAVs. Providing information on how currently available ridesharing services work helped our older adult respondents recognize the potential usefulness of SAVs. Knowing that different age groups may respond better to educational versus experiential interventions, for example middle-aged adults in this study responding more positively to the educational video condition than younger or older adults, may be useful for targeted promotional campaigns.

Attributions for events with information varying on age relevance (teen, young, middle-aged, and older main characters) and context (family, work) were examined in young, middle-aged, and older adults. Participants rated the degree to which the causes of a negative outcome were a function of three dispositional dimensions of the primary character, two dimensions of situational factors, and a combination of these. They also wrote essays justifying their ratings. Overall and in support of previous research, older adults were more likely than younger adults to attribute the cause of the negative outcome to the primary character (Blanchard-Fields, 1994). This bias was not attenuated by the age-relevance factor. Instead, in the work context, older and middle-aged adults placed greater blame on main characters relevant to their age group for negative outcomes than did young adults. However, older adults were also more likely than middle-aged or young adults to attribute the cause of a negative outcome to situational factors. Age relevance and context influenced attributional ratings for all participants in that: (a) older characters were rated higher on external attributions and younger characters were rated higher on internal attributions; and (b) higher internal attributions were made for work situations than for family situations. Finally, young and middle-aged adults were more dialectical in justifying their causal attributions than older adults. Findings are discussed in terms of the degree to which a dispositional bias in older adults is influenced by the developmental relevance of one’s everyday context.

Emotional stability, as indicated by low affect variability and low affective reactivity to daily events, for example, tends to increase across the adult life span. This study investigated a contextual explanation for such age differences, relating affect variability and affective reactivity to age-group-specific life contexts. A sample of 101 younger and 103 older adults reported daily stressors and negative affect across 100 days. Compared with younger adults, older adults (a) experienced fewer stressors overall, (b) had less heterogeneous stressor profiles, and (c) reported that stressors had less impact on daily routines. As expected, these contextual factors were relevant for interindividual differences in emotional stability. Multiple regression analyses revealed that reduced affect variability and affective reactivity in older adults were associated with these age-group specific life contexts. Moreover, matching younger and older adults on the contextual factors to explore the effects of context on age-group differences further provided support for the (partially) contextual explanation of age differences in emotional stability. Matched subgroups of younger and older adults that were comparable on contextual variables were identified. Affective variability, but not affective reactivity, was more similar in the matched subsamples than in the total samples of younger and older adults. We conclude that contexts in which affective experiences emerge require more attention when aiming to explain interindividual and age group differences in emotional stability. Moreover, future studies need to disentangle the extent to which contexts interact with active self-regulatory processes to shape affective experiences across adulthood.

Speechreading and Aging

This study aimed to examine older adults' physical activity intentions and preferred implementation intentions, and how intentions and preferred implementation intentions differ between older, middle aged and younger adults. A cross-sectional Australian wide telephone survey of 1217 respondents was conducted in 2016. Multiple and ordinal regression analyses were conducted to compare intentions and preferred implementation intentions between older (65+), middle aged (45-64) and younger adults (<45). A higher percentage of older adults had no intentions to engage in regular physical activity within the next 6months (60%) compared to younger adults (25%). Older adults' most popular preferences included being active at least once a day and for 30min or less and were more likely to prefer more frequent and shorter sessions compared to younger adults. Both older and middle aged adults were more likely to prefer slower paced physical activity compared to younger adults who preferred fast paced physical activity. Physical activity interventions for older adults should address the high percentage of older adults with no intentions and public health campaigns for older adults should promote 30min daily sessions of slow paced activity.

Post-Traumatic Stress Disorder Across the Adult Lifespan: Findings From a Nationally Representative Survey.

Rodent studies have proposed that adolescent susceptibility to substance use is at least partly due to adolescents experiencing reduced aversive effects of drugs compared to adults. We thus investigated methamphetamine (meth) conditioned place preference/aversion (CPP/CPA) in adolescent and adult mice in both sexes using a high dose of meth (3 mg/kg) or saline as controls. Mice tagged with green-fluorescent protein (GFP) at Drd1a or Drd2 were used so that dopamine receptor 1 (D1) and 2 (D2) expression within the insular cortex (insula) could be quantified. There are sex differences in how the density of D1+ and D2+ cells in the insula changes across adolescence that may be related to drug-seeking behaviors. Immunohistochemistry followed by stereology were used to quantify the density of cells with c-Fos and/or GFP in the insula. Unexpectedly, mice showed huge variability in behaviors including CPA, CPP, or no preference or aversion. Females were less likely to show CPP compared to males, but no age differences in behavior were observed. Conditioning with meth increased the number of D2 + cells co-labelled with c-Fos in adults but not in adolescents. D1:D2 ratio also sex- and age-dependently changed due to meth compared to saline. These findings suggest that reduced aversion to meth is unlikely an explanation for adolescent vulnerability to meth use. Sex- and age-specific expressions of insula D1 and D2 are changed by meth injections, which has implications for subsequent meth use.

Age Differences in Behaviors Leading to Completed Suicide

Gait characteristics during inadvertent obstacle contacts in young, middle-aged and older adults

From Days 14 to 19, pregnant Wistar rats were treated with either 2 mg of testosterone propionate (TP) or vehicle. Thirty-, 60-, and 90-day-old offspring were tested individually during 15 min daily on 4 days with a stimulus litter, and pup-oriented and non-pup-oriented behaviors were recorded. Sex differences in pup-oriented behaviors observed in oil groups were eliminated by TP treatment, which affected mainly females. Additionally, TP treatment increased the frequency of self-grooming and decreased the time spent near the pups and the frequency of sniffing and pawing only at 90-days of age. Hiding behavior only occurred at 30 days of age, while pawing near the pups and lying-down behavior was observed mainly in adults. Results show that sex differences in behavior are present before subjects become sensitized to show evident maternal behavior, and suggest that prenatal androgens play an important role in the manifestation of these sex differences and that its effects depend on developmental factors.

Background Cardiovascular disease (CVD) is increasing among younger and middle-aged adults (MA); perhaps in part due to, poor mental health, increased sedentary time, and low physical activity levels. Younger adults (YA) with CVD are more likely to experience worse mental health and are more likely to drop-out of cardiac rehabilitation (CR) when compared to MA and older adults (OA). Less is known regarding age and sex differences in CVD risk factors at intake and completion of CR. Purpose To evaluate differences in CVD risk factors among YA (≤44 yr), MA (45-64 yr), and OA (≥65 yr) patients who completed in-person CR and all risk factor-related questionnaires, at a Canadian hospital in 2023. Methods At intake and completion resting blood pressure was assessed. The Patient Health Questionnaire-9 (PHQ9), the Generalized Anxiety Disorder-7 (GAD7), and the Duke Activity Scale Index (DASI) were administered at both time points. A Chi-Square analysis was conducted to determine differences in the proportion of patients with elevated anxiety levels. A two-way analysis of variance with a Bonferroni post-hoc test was conducted to determine age and sex differences in risk factors. Results Of 512 total patients, 39 were YA (48.7% female), 180 were MA (27.7% female) and 293 were OA (33.7% female). No age-group or sex differences were observed for any outcome at intake or completion. Differences in elevated GAD-7 scores at intake (&amp;gt;10 moderate, &amp;gt;15 severe) were observed across age groups (χ2[2]=7.36, P=0.025). Within each group, 20.5% (female=3, male=5) of YA, 6.6% (female=2, male=10) of MA, and 10.2% (female=8, male=22) of OA demonstrated elevated GAD-7 scores. This difference was not apparent at completion (χ2[2]=0.580, P=0.748). No sex differences were observed in the proportion of elevated GAD-7 scores at intake or completion. Within age-groups, improvements in physical activity levels (YA intake:205.56; completion:225.26 mins/wk, P=&amp;lt;0.001; MA intake:179.14; completion:251.23 mins/wk P=&amp;lt;0.001; OA intake:179.03; completion:223.64 mins/wk, P=&amp;lt;0.001), the GAD-7 (YA intake:5.25; completion:3.00 points, P=&amp;lt;0.002; MA intake:3.52; completion:3.37 points, P=0.005; OA intake:3.65; completion:3.03 points, P=&amp;lt;0.001), and the DASI (YA intake:6.68; completion:8.12 METS, P=&amp;lt;0.001; MA intake:6.45; completion:7.84 METS, P=&amp;lt;0.001; OA intake:6.4; completion:7.8 METS, P=&amp;lt;0.001) were observed. Conclusions YA experience higher levels of anxiety upon entry into CR when compared to MA and OA. Completion of CR reduced the proportion of patients with elevated anxiety levels, with the greatest reductions among YA. The lack of differences in risk factor outcomes across age-groups is concerning. The CVD risk profile among those &amp;lt;44 years appears the same as those &amp;gt;65 years thus, warranting immediate action to increase physical activity levels and improve education surrounding CVD risk factors to elicit heart-healthy behaviours across the lifespan.

Cognitive neuroscience research has provided foundational insights into aging, but has focused primarily on the cerebral cortex. However, the cerebellum is subject to the effects of aging. Given the importance of this structure in the performance of motor and cognitive tasks, cerebellar differences stand to provide critical insights into age differences in behavior. However, our understanding of cerebellar functional activation in aging is limited. Thus, we completed a meta‐analysis of neuroimaging studies across task domains. Unlike in the cortex where an increase in bilateral activation is seen during cognitive task performance with advanced age, there is less overlap in cerebellar activation across tasks in older adults (OAs) relative to young. Conversely, we see an increase in activation overlap in OAs during motor tasks. We propose that this is due to inputs for comparator processing in the context of control theory (cortical and spinal) that may be differentially impacted in aging. These findings advance our understanding of the aging mind and brain.

Age-Related changes in joint power during gait: Adaptations in middle-aged adults to maintain walking speed.

Aims/hypothesisLifestyle interventions are the first-line treatment option for body weight and cardiometabolic health management. However, whether age groups or women and men respond differently to lifestyle interventions is under debate. We aimed to examine age- and sex-specific effects of a low-energy diet (LED) followed by a long-term lifestyle intervention on body weight, body composition and cardiometabolic health markers in adults with prediabetes (i.e. impaired fasting glucose and/or impaired glucose tolerance).MethodsThis observational study used longitudinal data from 2223 overweight participants with prediabetes in the multicentre diabetes prevention study PREVIEW. The participants underwent a LED-induced rapid weight loss (WL) period followed by a 3 year lifestyle-based weight maintenance (WM) intervention. Changes in outcomes of interest in prespecified age (younger: 25–45 years; middle-aged: 46–54 years; older: 55–70 years) or sex (women and men) groups were compared.ResultsIn total, 783 younger, 319 middle-aged and 1121 older adults and 1503 women and 720 men were included in the analysis. In the available case and complete case analyses, multivariable-adjusted linear mixed models showed that younger and older adults had similar weight loss after the LED, whereas older adults had greater sustained weight loss after the WM intervention (adjusted difference for older vs younger adults −1.25% [95% CI −1.92, −0.58], p<0.001). After the WM intervention, older adults lost more fat-free mass and bone mass and had smaller improvements in 2 h plasma glucose (adjusted difference for older vs younger adults 0.65 mmol/l [95% CI 0.50, 0.80], p<0.001) and systolic blood pressure (adjusted difference for older vs younger adults 2.57 mmHg [95% CI 1.37, 3.77], p<0.001) than younger adults. Older adults had smaller decreases in fasting and 2 h glucose, HbA1c and systolic blood pressure after the WM intervention than middle-aged adults. In the complete case analysis, the above-mentioned differences between middle-aged and older adults disappeared, but the direction of the effect size did not change. After the WL period, compared with men, women had less weight loss (adjusted difference for women vs men 1.78% [95% CI 1.12, 2.43], p<0.001) with greater fat-free mass and bone mass loss and smaller improvements in HbA1c, LDL-cholesterol and diastolic blood pressure. After the WM intervention, women had greater fat-free mass and bone mass loss and smaller improvements in HbA1c and LDL-cholesterol, while they had greater improvements in fasting glucose, triacylglycerol (adjusted difference for women vs men −0.08 mmol/l [−0.11, −0.04], p<0.001) and HDL-cholesterol.Conclusions/interpretationOlder adults benefited less from a lifestyle intervention in relation to body composition and cardiometabolic health markers than younger adults, despite greater sustained weight loss. Women benefited less from a LED followed by a lifestyle intervention in relation to body weight and body composition than men. Future interventions targeting older adults or women should take prevention of fat-free mass and bone mass loss into consideration.Clinical trial registration numberClinicalTrials.gov NCT01777893.Graphical abstract