Perceived Life Expectancy Predicts Time Investment in Productive Aging Activities: An Ecological Momentary Assessment Study

2021 ◽  
pp. 016402752199269
Author(s):  
Hao Luo ◽  
Gloria H. Y. Wong ◽  
Jennifer Y. M. Tang ◽  
Tianyin Liu ◽  
Frankie H. C. Wong ◽  
...  

Objectives: Despite known benefits of productive aging, it is unclear what explains time allocation in productive activities. We investigated whether productive engagement in older people can be explained by their age, health, socioeconomic status, and perceived life expectancy in Hong Kong. Methods: We interviewed 390 community-dwelling older persons for their health and perceived life expectancy, followed by a 7-day ecological momentary assessment to record their activities. Results: A total of 366 participants who completed the study (age 75 ± 8.3 years; 79% women) reported an average perceived life expectancy of nearly 10 years. The majority (59%) engaged in productive activities. Estimates of the structural equation model (RMSEA = 0.046) showed that age and health were associated with productive engagement, mediated by perceived life expectancy. Discussion and Implications: Future efforts in promoting productive aging and related research should include interventions addressing perceived life expectancy, a potentially modifiable factor.

2018 ◽  
Vol 9 (4) ◽  
pp. 711-719 ◽  
Author(s):  
Huiying Liu ◽  
Vivian W Q Lou

Abstract Although ecological momentary assessment (EMA) has been used in youth and adult populations, very few of the studies provided evidence of the feasibility and utility of smartphone-based EMA protocols to collect biopsychosocial data from aging populations. This study aimed to describe the design and implementation of a smartphone-based EMA protocol, and to evaluate the feasibility and utility of this EMA protocol among community-dwelling late-middle-aged and older Chinese. A sample of 78 community-dwelling Chinese aged between 50 and 70 years was trained to participate in a 1-week EMA data collection, during which each participant carried an Android smartphone loaded with a researcher-developed EMA application and a smartphone-based electrocardiogram (ECG) monitor to provide psychosocial (e.g., daily activities, social interaction, affect) data and ECG recordings six times daily. Adherence was demonstrated with a total response rate of 91.5% of all scheduled assessments (n = 3,822) and a moderately high level of perceived feasibility. Female participants reported higher compliance to the study and rated the overall experience as more pleasant and interesting than male participants. Our study provided the first evidence of the feasibility and utility of smartphone-based EMA protocols among late-middle-aged and older Chinese. Key areas for improvement in future design and implementation of mobile-based EMA include the incorporation of usable technology, adequate and training, and timely assistance.


2021 ◽  
Vol 36 (6) ◽  
pp. 1160-1160
Author(s):  
Julianne Wilson ◽  
Amanda R Rabinowitz ◽  
Tessa Hart

Abstract Objective In persons with moderate–severe traumatic brain injury (msTBI), we compared traditional measures of mood with dynamic measures of affect derived from ecological momentary assessment (EMA), for the purpose of validating the EMA indices and exploring their unique contributions to emotional assessment. Method 23 community-dwelling participants with chronic msTBI were enrolled in a treatment trial for anxiety and/ or depression. At baseline, participants completed the Brief Symptom Inventory-18 Depression and Anxiety subscales (BSI-D, BSI-A) and the Environmental Reward Observation Scale (EROS), a measure of everyday pleasure and reward. EMA data, including the Positive and Negative Affect Scale (PANAS), were collected via smartphone 5 times daily for 7–14 days prior to treatment (M = 8.65; SD = 1.87). Spearman correlations tested associations between baseline BSI-D, BSI-A, and EROS scores with both overall means and temporal variability measures for positive and negative affect (PA, NA). Results Mean PA was significantly correlated with BSI-D (rho −0.60, p < 0.05) and EROS (rho 0.72, p < 0.01). Mean NA and affect variability measures were uncorrelated with baseline scores. NA mean and variability were intercorrelated (rho 0.87, p < 0.001), but this was not the case for PA. Conclusion EMA measures of averaged positive affect showed robust relationships with retrospective measures of depression and environmental reward, providing support for the validity of EMA measures of PA, and for use of the EROS in msTBI. While negative findings must be interpreted with caution, the lack of association of affective variability with retrospective measures suggest a unique role for EMA in examining temporal dynamics of affect.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 816-816
Author(s):  
Huiying Liu ◽  
Vivian Lou

Abstract Previous researches have examined the influences of satisfaction with social relations on affective well-being on a long time-frame among older adults. Using the Ecological Momentary Assessment (EMA) method, we examined within-person changes in social contact satisfaction in relation to momentary affect on short time-scales in 78 community-dwelling older Chinese. Each participant provided up to 7 EMA surveys per day during a one-week period and reported his/her satisfaction, positive affect (PA) and negative affect (NA). Multilevel modelling was used for testing the within-person concurrent and time-lagged relations of social interactions and affect. Higher satisfaction was concurrently associated with more PA and less NA. The satisfaction of prior contact was predictive of greater low-arousal PA during the next contact. Prior NA was predictive of lower satisfaction at the next contact. Such dynamic interplays of social and affective experiences should be considered to support the maintenance of affective well-beings in older Chinese.


2013 ◽  
Vol 64 (4) ◽  
pp. 235-243 ◽  
Author(s):  
Sven Barnow ◽  
Maren Aldinger ◽  
Ines Ulrich ◽  
Malte Stopsack

Die Anzahl der Studien, die sich mit dem Zusammenhang zwischen Emotionsregulation (ER) und depressiven Störungen befassen, steigt. In diesem Review werden Studien zusammengefasst und metaanalytisch ausgewertet, die den Zusammenhang zwischen ER und Depression mittels Fragebögen bzw. Ecological Momentary Assessment (EMA) erfassen. Dabei zeigt sich ein ER-Profil welches durch die vermehrte Nutzung von Rumination, Suppression und Vermeidung bei gleichzeitig seltenerem Einsatz von Neubewertung und Problemlösen gekennzeichnet ist. Mit mittleren bis großen Effekten, ist der Zusammenhang zwischen Depression und maladaptiven Strategien besser belegt als bei den adaptiven Formen, wo die Effekte eher moderat ausfielen. EMA-Messungen bestätigen dieses Profil. Da EMA-Studien neben der Häufigkeit des Strategieeinsatzes auch die Erfassung anderer ER-Parameter wie Effektivität und Flexibilität ermöglichen, sollten solche Designs in der ER-Forschung zukünftig vermehrt Einsatz finden.


2013 ◽  
Vol 18 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Emmanuel Kuntsche ◽  
Florian Labhart

Ecological Momentary Assessment (EMA) is a way of collecting data in people’s natural environments in real time and has become very popular in social and health sciences. The emergence of personal digital assistants has led to more complex and sophisticated EMA protocols but has also highlighted some important drawbacks. Modern cell phones combine the functionalities of advanced communication systems with those of a handheld computer and offer various additional features to capture and record sound, pictures, locations, and movements. Moreover, most people own a cell phone, are familiar with the different functions, and always carry it with them. This paper describes ways in which cell phones have been used for data collection purposes in the field of social sciences. This includes automated data capture techniques, for example, geolocation for the study of mobility patterns and the use of external sensors for remote health-monitoring research. The paper also describes cell phones as efficient and user-friendly tools for prompt manual data collection, that is, by asking participants to produce or to provide data. This can either be done by means of dedicated applications or by simply using the web browser. We conclude that cell phones offer a variety of advantages and have a great deal of potential for innovative research designs, suggesting they will be among the standard data collection devices for EMA in the coming years.


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