Using ecological momentary assessment to track how contemplative mental training is implemented into everyday life

2021 ◽  
Vol 131 ◽  
pp. 105489
Author(s):  
R. Linz ◽  
V. Engert ◽  
T. Singer
2010 ◽  
Vol 32 (2) ◽  
pp. 253-261 ◽  
Author(s):  
Martina Kanning ◽  
Wolfgang Schlicht

The positive effects of physical activity on mood are well documented in cross-sectional studies. To date there have been only a few studies analyzing within-subject covariance between physical activity and mood in everyday life. This study aims to close this gap using an ambulatory assessment of mood and physical activity. Thirteen participants completed a standardized diary over a 10-week period, resulting in 1,860 measurement points. Valence, energetic arousal, and calmness are the three subscales of mood that were assessed. Participants rated their mood promptly after self-selected activities. A multilevel analysis indicates that the three dimensions of mood were positively affected by episodes of physical activity, such as walking or gardening—valence: t(12) = 5.6, p < .001; energetic arousal: t(12) = 2.4, p = .033; calmness: t(12) = 2.8, p = .015. Moreover, the association is affected by the individual baseline mood level, with the greatest effect seen when mood is depressed.


2015 ◽  
Vol 33 ◽  
pp. 53-61 ◽  
Author(s):  
Carolin Thielsch ◽  
Thomas Ehring ◽  
Steffen Nestler ◽  
Janina Wolters ◽  
Ina Kopei ◽  
...  

2020 ◽  
Vol 29 (3S) ◽  
pp. 591-609
Author(s):  
Nadja Schinkel-Bielefeld ◽  
Patricia Kunz ◽  
Anja Zutz ◽  
Bastian Buder

Background Ecological momentary assessment (EMA) is a method to evaluate hearing aids in everyday life that uses repeated smartphone-based questionnaires to assess a situation as it happens. Although being ecologically valid and avoiding memory bias, this method may be prone to selection biases due to questionnaires being skipped or the phone not being carried along in certain situations. Purpose This investigation analyzed which situations are underrepresented in questionnaire responses and physically measured objective EMA data (e.g., sound level), and how such underrepresentation may depend on different triggers. Method In an EMA study, 20 subjects with hearing impairment provided daily information on reasons for missed data, that is, skipped questionnaires or missing connections between their phone and hearing aids. Results Participants often deliberately did not bring the study phone to social situations or skipped questionnaires because they considered it inappropriate, for example, during church service or when engaging in conversation. They answered fewer questions in conversations with multiple partners and were more likely to postpone questionnaires when not in quiet environments. Conclusion Data for social situations will likely be underrepresented in EMA. However, these situations are particularly important for the evaluation of hearing aids, as individuals with hearing impairment often have difficulties communicating in noisy situations. Thus, it is vital to optimize the design of the study to find a balance between avoiding memory bias and enabling subjects to report retrospectively on situations where phone usage may be difficult. The implications for several applications of EMA are discussed. Supplemental Material https://doi.org/10.23641/asha.12746849


2020 ◽  
pp. 135910532093417
Author(s):  
Lindsey Potter ◽  
Angela Meadows ◽  
Joshua Smyth

Weight stigma and discrimination have been linked to negative health outcomes. Most research on this topic is retrospective, which may not accurately capture day-to-day experiences. The current used ecological momentary assessment to examine weight stigma and discrimination in everyday life. Participants answered ecological momentary assessments about the nature, frequency, and contextual details of weight stigma and discrimination. Over the course of the study, only eight episodes of weight stigma and discrimination were reported. Given that prior ecological momentary assessment studies reported substantially more frequent weight stigma and discrimination, possible explanations for the findings and implications for future research are discussed.


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