Antecedent-Consequent Relations of Perceived Control to Health and Social Support: Longitudinal Evidence for Between-Domain Associations Across Adulthood

Objectives. To examine antecedent-consequent relations of perceived control to health and social support across adulthood and old age. Methods. We applied (multigroup) change score models to two waves of data collected 9 years apart from 6,210 participants of the Midlife in the United States survey (MIDUS, 24-75 years at baseline). We used composite measures of perceived control (personal mastery and constraints), health (chronic conditions, acute conditions, and functional limitations), and social support (support and strain associated with spouse/partner, family, and friends). Results. Analyses revealed evidence for direct and independent multidirectional accounts. Greater initial control predicted weaker declines in health and stronger increases in support. In turn, increases in control were predicted by better initial health and more support. Changes in control were also accompanied by concurrent changes in the other two domains, and relations involving control were larger in size than those between health and support. We found only small sociodemographic differences across age, gender, and education group. Discussion. We conclude that perceiving control may serve as both a precursor and an outcome of health and social support across the adult age range and suggest routes for further inquir

Correspondence Between Retrospective and Momentary Ratings of Positive and Negative Affect in Old Age: Findings From a One-Year Measurement Burst Design

Objectives and Method. Using 5 measurement bursts spanning 1 year, this study examined correspondences between retrospective end-of-year ratings and momentary ratings of positive affect (PA) and negative affect (NA) in 53 older adult participants from the Berlin Aging Study. Results. Average momentary assessments were moderately positively correlated with retrospective ratings of PA and NA. Hierarchical regression analyses further indicate that mean momentary PA best predicted retrospective PA over and above peak or recent momentary PA, whereas no such pattern emerged for NA. No evidence for age differences in these patterns was found. Discussion. Our discussion focuses on the implications of affective memory biases for examining affective experiences as they occur in peoples' daily lives and points to implications concerning methods and theory developmen

Self-reported versus GPS-derived indicators of daily mobility in a sample of healthy older adults

In light of novel opportunities to use sensor data to observe individuals' day-to-day mobility in the context of healthy aging research, it is important to understand how meaningful mobility indicators can be extracted from such data and to which degree these sensor-derived indicators are comparable to corresponding self-reports. We used sensor (GPS and accelerometer) and self-reported data from 27 healthy older adults (≥67 years) who participated in the MOASIS project over a 30-day period. Based on sensor data we computed three commonly used daily mobility indicators: life space (LS), travel duration using passive (i.e., motorized) modes of transportation (pMOT) and travel duration using active (i.e., non-motorized) modes of transportation (aMOT). We assessed the degree to which these sensor-derived indicators compare to corresponding self-reports at a within-person level, computing intraindividual correlations (iCorrs), subsequently assessing whether iCorrs can be associated with participants’ socio-demographic characteristics on a between-person level. Moderate to large positive mean iCorrs between the respective self-reported and sensor-derived indicators were found (r = 0.75 for LS, 0.51 for pMOT and 0.36 for aMOT). In comparison to sensor-derived indicators, self-reported LS slightly underestimates, while self-reported aMOT as well as pMOT considerably overestimate the amount of daily mobility. Participants with access to a car have higher probabilities of agreement in the pMOT indicator. Sensor-based assessments are promising as they are “objective”, involve less participant burden and observations can be extended over long periods. The findings of this paper help researchers on mobility and aging to estimate the magnitude and direction of potential differences in the assessed variable due to the assessment methods

Alternating time spent on social interactions and solitude in healthy older adults

Time spent on being with others (social interactions) and being alone (solitude) in day to day life might reflect older adults' agentic regulatory strategies to balance the needs to belong and to conserve energy. Motivated from a joint lifespan psychological and social relationship theoretical perspective, this study examined how time spent on social interactions and solitude alternatively unfolds within individuals in daily life, relating to individual differences in trait-level well-being and fatigue. Over 21 days, a total of 11,172 valid records of social interactions were collected from 118 older adults (aged 65-94 years) in a smartphone-based event-contingent ambulatory assessment study in Switzerland. On average, a social interaction episode lasted 39 min and a solitude episode lasted 5.03 hr. Multilevel models showed that, at the within-person level, a longer-than-usual social interaction preceded and was followed by a longer-than-usual solitude episode. Moderator analyses showed that older adults with higher trait life satisfaction and lower trait fatigue spent even more time in social interactions after longer solitude episodes, amplifying the solitude-then-interaction association. Our findings suggest that whereas social interaction is a means to improve well-being, solitude is also an integral part in older adults' daily life supporting energy recovery

Alternating time spent on social interactions and solitude in healthy older adults

Time spent on being with others (social interactions) and being alone (solitude) in day to day life might reflect older adults' agentic regulatory strategies to balance the needs to belong and to conserve energy. Motivated from a joint lifespan psychological and social relationship theoretical perspective, this study examined how time spent on social interactions and solitude alternatively unfolds within individuals in daily life, relating to individual differences in trait-level well-being and fatigue. Over 21 days, a total of 11,172 valid records of social interactions were collected from 118 older adults (aged 65-94 years) in a smartphone-based event-contingent ambulatory assessment study in Switzerland. On average, a social interaction episode lasted 39 min and a solitude episode lasted 5.03 hr. Multilevel models showed that, at the within-person level, a longer-than-usual social interaction preceded and was followed by a longer-than-usual solitude episode. Moderator analyses showed that older adults with higher trait life satisfaction and lower trait fatigue spent even more time in social interactions after longer solitude episodes, amplifying the solitude-then-interaction association. Our findings suggest that whereas social interaction is a means to improve well-being, solitude is also an integral part in older adults' daily life supporting energy recovery

The Mediating Role of Affective States in Short-Term Effects of Activity Engagement on Working Memory in Older Age

Introduction: It has been shown that activity engagement is associated with cognitive ability in older age, but mechanisms behind the associations have rarely been examined. Following a recent study which showed short-term effects of activity engagement on working memory performance appearing 6 h later, this study examined the mediating role of affective states in this process. Methods: For 7 times per day over 2 weeks, 150 Swiss older adults (aged 65–91 years) reported their present (sociocognitive/passive leisure) activities and affective states (high-arousal positive, low-arousal positive, high-arousal negative, and low-arousal negative) and completed an ambulatory working memory task on a smartphone. Results: Multilevel vector autoregression models showed that passive leisure activities were associated with worse working memory performance 6 h later. Passive leisure activities were negatively associated with concurrent high-arousal positive affect (and high-arousal negative affect); high-arousal positive affect was negatively associated with working memory performance 6 h later. A Sobel test showed a significant mediation effect of high-arousal positive affect linking the time-lagged relationship between passive leisure activities and working memory. Additionally, sociocognitive activities were associated with better working memory performance 6 h later. Sociocognitive activities were associated with concurrent higher high- and low-arousal positive affect, which, however, were not associated with working memory performance 6 h later. Thus, a mediation related to sociocognitive activities was not found. Discussion: Passive leisure activities could influence working memory performance through high-arousal positive affect within a timeframe of several hours. Results are discussed in relation to an emotional, and possibly a neuroendocrine, pathway explaining the time-lagged effects of affective states on working memory performance

Dimensions of GPS-derived Daily Mobility in Older Adults

Daily mobility is a multidimensional construct. Location sensing enables measuring an individual’s daily mobility in various ways and this has prompted the issue of choosing appropriate mobility indicators for a given application, in particular in the health sciences, where the aim is to link mobility behavior to outcomes related to health and well-being. We previously proposed a classification framework for daily mobility indicators and discovered six latent factors underlying daily mobility, using GPS data of older adults collected in a study in Germany. To reassure the validity of our framework for selecting representative mobility indicators, we examined the generality and robustness of those six dimensions with another GPS dataset of older adults collected from the MOASIS project. First, we applied the same method to calculate 20 mobility indicators per participant and conduct an exploratory factor analysis (EFA). Second, we ran the EFAs on the mobility indicators of each subgroup of participants by gender, age, and mobility levels. The six dimensions reappeared with minor variations in the mobility indicators of both the entire group and all the subgroups of participants, which implies they are general and robust

GPS-derived daily mobility and daily well-being in community-dwelling older adults

Introduction: Mobility as a multidimensional concept has rarely been examined as a day-to-day varying phenomenon in its within-person association with older adults’ daily well-being. This study examined associations between daily mobility and daily well-being in community-dwelling older adults with a set of GPS-derived mobility indicators that were representative of older adults’ daily mobility. Methods: Participants wore a custom-built mobile GPS sensor (“uTrail”) and completed smartphone-based experience sampling questionnaires on momentary affective states (7 times per day) and daily life satisfaction (in the evening). Analyses included data across 947 days from 109 Swiss older adults aged 65–89 years. Results: Multilevel modeling showed that, within persons, a day with a larger life space area, more time spent in passive transport modes, and a higher number of different locations was associated with higher daily life satisfaction but not daily positive or negative affect. Follow-up analysis showed that the daily maximum distance from home was positively associated with daily life satisfaction, providing a first indication that exposure to non-habitual environments might be a possible underlying mechanism to explain the effects of mobility. Conclusions: Traveling a long distance away from home and visiting diverse locations may be a way to improve life satisfaction. Results are discussed in the context of research on healthy aging