scholarly journals Age, Daily Stress Processes, and Allostatic Load: A Longitudinal Study

2018 ◽  
Vol 31 (9) ◽  
pp. 1671-1691 ◽  
Author(s):  
Jennifer R. Piazza ◽  
Robert S. Stawski ◽  
Julia L. Sheffler

Objective: The present study examined age differences in the association between daily stressors and allostatic load. Method: Participants consisted of 317 adults (34-84 years) who participated in Waves 1 (1996-1997) and 2 (between 2005 and 2009) of the Midlife Development in the United States Survey. During Wave 1, participants reported the stressors they encountered across eight consecutive days. Within-person affective reactivity slopes indexing change in negative affect from a nonstressor day to a stressor day were calculated for each participant. Affective reactivity and stressor exposure scores at Wave 1 were used to predict allostatic load at Wave 2. Results: Heightened levels of affective reactivity at Wave 1 predicted elevated levels of allostatic load at Wave 2 but only among older adults who also reported high levels of stressor exposure. No significant associations emerged for younger adults. Discussion: Daily stress processes may be one pathway through which age-related physical health declines occur.

Author(s):  
Patrick Klaiber ◽  
Jin H Wen ◽  
Anita DeLongis ◽  
Nancy L Sin

Abstract Objectives Past research has linked older age with greater emotional well-being and decreased reactivity to stressors, but it is unknown whether age-related advantages in emotional well-being are maintained in the wake of COVID-19. We examined age differences in exposure and affective reactivity to daily stressors and positive events in the first several weeks of the COVID-19 outbreak. Methods In March and April 2020, 776 adults from Canada and the United States aged 18–91 (mean age 45) years reported COVID-19 threats at baseline, then completed nightly surveys for 1 week about their daily stressors, positive events, and affect. Results Younger age predicted more concerns about the threat of COVID-19 across multiple domains, in addition to lower positive affect, higher negative affect, and less frequent positive events. Younger adults had more non-COVID-19 daily stressors and higher perceived control over stressors, but lower perceived coping efficacy than older adults. There were no age differences in the frequency of COVID-19 daily stressors nor perceived stressor severity. Younger adults had greater reductions in negative affect on days when more positive events occurred and greater increases in negative affect on days when non-COVID-19 stressors occurred. Age moderation was attenuated for negative affective reactivity to COVID-19 stressors. Age did not moderate positive affective reactivity to daily events. Discussion In the early weeks of the pandemic, older adults showed better emotional well-being and less reactivity to stressors but did not differ from younger adults in their exposure to COVID-19 stressors. Additionally, younger adults benefited more from positive events.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 215-215
Author(s):  
Jacqueline Mogle ◽  
Jonathan Rush ◽  
David Almeida

Abstract Affective reactivity to everyday stressful events has been shown to be an important predictor of poor mental and physical health. The purpose of this study was to examine longitudinal changes in daily stress across 30 years of adulthood as a critical first step for understanding aging-related trends in daily stress. We used data from the National Study of Daily Experiences (NSDE) to calculate exposure and reactivity to daily stressors collected during telephone interviews over the course of 8 consecutive days. These daily assessment bursts were conducted in 1997, 2007, and 2018. Data were comprised of 33,931 daily interviews from 2,880 adults ages 25-74 at the first burst. Results indicated decreased stressor reactivity over time but this decrease was greater for younger adults. Discussion will focus on how examining change in daily stress processes is critical for illuminating stress and health.


Author(s):  
Waylon J Hastings ◽  
David M Almeida ◽  
Idan Shalev

Abstract Background Indices quantifying allostatic load (AL) and biological aging (BA) have independently received widespread use in epidemiological literature. However, little attention has been paid to their conceptual and quantitative overlap. By reviewing literature utilizing measures of AL and BA, and conducting comparative analysis, we highlight similarities and differences in biological markers employed and approach toward scale construction. Further, we outline opportunities where both types of indices might be improved by adopting methodological features of the other. Methods Using data from the National Survey of Midlife Development in the United States (N=2,055, age=26-86), we constructed three AL indices: one common literature standard, and two alternative formulations informed by previous work with measures of BA. The performance of AL indices was juxtaposed against two commonly employed BA indices: Klemera-Doubal Method Biological Age and Homeostatic Dysregulation. Results All indices correlated with chronological age. Participants with higher AL and older BA performed worse on tests of physical and subjective functioning. Further, participants with increased life-course risk exposure exhibited higher AL and BA. Notably, alternative AL formulations tended to exhibit effect-sizes equivalent to or larger than those observed for BA measures, and displayed superior mortality prediction. Conclusions In addition to their conceptual similarity, AL and BA indices also exhibit significant analytical similarity. Further, BA measures are robust to construction using a panel of biomarkers not observed in previous iterations, including carotenoids indexing antioxidant capacity. In turn, AL indices could benefit by adopting the methodological rigor formalized within BA composites, such as applying biomarker down-selection criteria.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 214-215
Author(s):  
David Almeida ◽  
Daniel Mroczek

Abstract Daily experiences of stress and the associated sequelae of affective and physiological changes represent the multiple dimensions of a complex, time-dependent process of how stressors unfold in daily life. Daily diaries capture these time-sensitive processes as they occur under real world conditions. Longitudinal changes in stress processes can then be tracked using a measurement burst design: daily diaries repeated longitudinally. Using this design, the National Study of Daily Experiences (NSDE) has generated more than 35,000 days of data from a national sample of over 2,500 adults assessed repeatedly across 20 years of adulthood. The NSDE features details of more than 10,000 reports daily stress including exposure, appraisal and affective responses from adults ranging in age from 24 to 95 years. The current symposium leverages this unique and influential dataset to examine age differences and aging-related changes in daily stress processes with four presentations from the NSDE. First, Dr. Robert Stawski will discuss longitudinal change and age-related differences in exposure to multiple types of daily stressors. Next, Dr. Susan Charles will examine age differences and change in a key element of the stress process: negative affect. Third, Dr. Eric Cerino will describe longitudinal change in appraisals of daily stressors focusing on stressor control. Finally, Dr. David Almeida will examine changes in negative affect reactivity to daily stressors across the 20 years of the NSDE. Dr. Dan Mroczek will discuss the picture these presentations provide of how aging and age-differences impact the daily stress process and future directions for understanding these trajectories.


2021 ◽  
Vol 5 (1) ◽  
pp. 121-133
Author(s):  
Shyam Sheladia ◽  
P. Hemachandra Reddy

The emergence of age-related chronic diseases within the United States has led to the direct increase of Alzheimer’s disease (AD) as well as other neurological diseases which ultimately contribute to the development of dementia within the general population. To be specific, age-related chronic diseases such as cardiovascular disease, high cholesterol, diabetes, and kidney disease contribute greatly to the advancement and rapid progression of dementia. Furthermore, unmodifiable risk factors such as advancing age and genetics as well as modifiable risk factors such as socioeconomic status, educational attainment, exercise, and diet further contribute to the development of dementia. Current statistics and research show that minority populations such as Hispanic Americans in the United States face the greatest burden of dementia due to the increase in the prevalence of overall population age, predisposing genetics, age-related chronic diseases, low socioeconomic status, as well as poor lifestyle choices and habits. Additionally, Hispanic Americans living within Texas and the rural areas of West Texas face the added challenge of finding appropriate healthcare services. This article will focus upon the research associated with AD as well as the prevalence of AD within the Hispanic American population of Texas and rural West Texas. Furthermore, this article will also discuss the prevalence of age-related chronic diseases, unmodifiable risk factors, and modifiable risk factors which lead to the progression and development of AD within the Hispanic American population of the United States, Texas, and rural West Texas.


2021 ◽  
pp. 003335492110267
Author(s):  
Kiersten J. Kugeler ◽  
Paul S. Mead ◽  
Amy M. Schwartz ◽  
Alison F. Hinckley

Lyme disease is the most common vector-borne disease in the United States and is characterized by a bimodal age distribution and male predominance. We examined trends in reported cases during a 25-year period to describe changes in the populations most affected by Lyme disease in the United States. We examined demographic characteristics of people with confirmed cases of Lyme disease reported to the Centers for Disease Control and Prevention during 1992-2016 through the National Notifiable Diseases Surveillance System. We grouped cases into 5-year periods (1992-1996, 1997-2001, 2002-2006, 2007-2011, 2012-2016). We calculated the average annual incidence by age and sex and used incidence rate ratios (IRRs) to describe changes in Lyme disease incidence by age and sex over time. We converted patient age at time of illness into patient birth year to ascertain disease patterns according to birth cohorts. The incidence of Lyme disease in the United States doubled from 1992-1996 to 2012-2016 (IRR = 1.74; 95% CI, 1.70-1.78) and increased disproportionately among males; IRRs were 39%-89% higher among males than among females for most age groups. During the study period, children aged 5-9 years were most frequently and consistently affected. In contrast, the average age of adults with Lyme disease increased over time; of all adults, people born during 1950-1964 were the most affected by Lyme disease. Our findings suggest that age-related behaviors and susceptibilities may drive infections among children, and the shifting peak among adults likely reflects a probability proportional to the relative size of the baby boom population. These findings can inform targeted and efficient public health education and intervention efforts.


2022 ◽  
Author(s):  
Kendra Leigh Seaman ◽  
Alexander P. Christensen ◽  
Katherine Senn ◽  
Jessica Cooper ◽  
Brittany Shane Cassidy

Trust is a key component of social interaction. Older adults, however, often exhibit excessive trust relative to younger adults. One explanation is that older adults may learn to trust differently than younger adults. Here, we examine how younger (N=33) and older adults (N=30) learn to trust over time. Participants completed a classic iterative trust game with three partners. Younger and older adults shared similar amounts but differed in how they shared money. Compared to younger adults, older adults invested more with untrustworthy partners and less with trustworthy partners. As a group, older adults displayed less learning than younger adults. However, computational modeling shows that this is because older adults are more likely to forget what they have learned over time. Model-based fMRI analyses revealed several age-related differences in neural processing. Younger adults showed prediction error signals in social processing areas while older adults showed over-recruitment of several cortical areas. Collectively, these findings suggest that older adults attend to and learn from social cues differently from younger adults.


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