Ecological Momentary Assessment in Behavioral Medicine

Robbins, Megan L.; Kubiak, Thomas

doi:10.1002/9781118453940.ch20

Cited by 35 publications

(27 citation statements)

References 54 publications

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“…In relation to this, participants' expectations of drug effects may be suppressed in the laboratory, with self-reported alcohol outcome expectancies differing between typical drinking (pub) and atypical contexts (laboratory [17,18]). Outside the laboratory the experimenter relinquishes their control of variables which might be of interest [22]. However, EMA designs allow for repeated, proximal assessments which improve accuracy [21].…”

Section: Introductionmentioning

confidence: 99%

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Compliance with ecological momentary assessment protocols in substance users: a meta‐analysis

et al. 2018

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Background and Aims While there are considerable benefits to Ecological Momentary Assessment (EMA), poor compliance with assessment protocols has been identified as a limitation, particularly in substance users. Our aim was to identify the pooled compliance rate of EMA studies in substance users and examine variables that may influence compliance with EMA protocols, such as the length and frequency of assessments. Design A meta‐analysis and meta‐regression of all possible studies (randomized controlled trials and longitudinal) which incorporated EMA protocols, examining substance use. Setting Studies took place from 1998 to 2017, in numerous countries world‐wide. Participants One hundred and twenty‐six studies were identified, contributing a total of 19 431 participants (52.32% male, mean age = 28.86). Measurements Compliance data, the proportion of responses to the study protocol, were extracted from each study alongside prompt frequency, total length of assessment period, substance use population and device used to administer EMA prompts. Findings The pooled compliance rate across all studies was 75.06% [95% confidence interval (CI) = 72.37%, 77.65%]. There was no evidence that compliance rates were significantly associated with prompt frequency [Q(3) = 7.35, P = 0.061], length of assessment period [Q(2) = 2.40, P = 0.301], substance type [Q(3) = 6.30, P = 0.098] or device administration [Q(4) = 4.28, P = 0.369]. However, dependent samples (69.80%) had lower compliance rates than non‐dependent samples [76.02%; Q(1) = 4.13, P = 0.042]. Conclusions The pooled compliance rate for Ecological Momentary Assessment studies in substance‐using populations from 1998 to 2017 was lower than the recommended rate of 80%, and was not associated with frequency or duration of assessments.

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Section: Introductionmentioning

confidence: 99%

“…While EMA has various methodological advantages over laboratory-based research it can also present significant challenges. Outside the laboratory the experimenter relinquishes their control of variables which might be of interest [22]. There is also the complexity of everyday life (e.g.…”

Section: Introductionmentioning

confidence: 99%

Compliance with ecological momentary assessment protocols in substance users: a meta‐analysis

et al. 2018

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“…One limitation of our study was the use of a retrospective narrative to gain understanding of family PA behaviour and experiences. Ecological momentary assessment (EMA) collects momentary self-reports in situ via electronic diaries on smartphones and tablets [ 68 ]. This innovative method would facilitate the collection of ecological real-life contextual data on family-based PA to underpin subsequent family-based PA intervention programmes [ 69 ].…”

Section: Discussionmentioning

confidence: 99%

One Size Does Not Fit All: Contextualising Family Physical Activity Using a Write, Draw, Show and Tell Approach

et al. 2017

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Understanding family physical activity (PA) behaviour is essential for designing effective family-based PA interventions. However, effective approaches to capture the perceptions and “lived experiences” of families are not yet well established. The aims of the study were to: (1) demonstrate how a “write, draw, show and tell” (WDST) methodological approach can be appropriate to family-based PA research, and (2) present two distinct family case studies to provide insights into the habitual PA behaviour and experiences of a nuclear and single-parent family. Six participants (including two “target” children aged 9–11 years, two mothers and two siblings aged 6–8 years) from two families were purposefully selected to take part in the study, based on their family structure. Participants completed a paper-based PA diary and wore an ActiGraph GT9X accelerometer on their left wrist for up to 10 weekdays and 16 weekend days. A range of WDST tasks were then undertaken by each family to offer contextual insight into their family-based PA. The selected families participated in different levels and modes of PA, and reported contrasting leisure opportunities and experiences. These novel findings encourage researchers to tailor family-based PA intervention programmes to the characteristics of the family.

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“…However, it is well recognized that EMA studies, even those that measure limited sets of behaviors, often place more burden on participants compared to more traditional means of assessment. This is because they generally require participants to periodically interrupt their daily activities to complete the measures [ 19 ]. The influence of assessment itself on the behavior assessed has been long recognized (reactive self-monitoring), even for the monitoring of simple behaviors [ 20 , 21 ].…”

Section: Discussionmentioning

confidence: 99%

Is uncertainty in complex disease epidemiology resolvable?

Maziak

2015

Emerg Themes Epidemiol

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The imposed limitations on what we can know about nature have been long recognized. Yet in the field of epidemiology a futile search for lifestyle-related risk factors for common chronic diseases continues unabated. This has led to the production of a growing body of evidence about potential lifestyle risk factors that tend to be marginal, contradictory, irreproducible, or hard to interpret. While epidemiologists are calling for a more refined methodology, I argue that our limitation in studying complex diseases is insurmountable. This is because the study of lifestyle-related small risks requires accurate measurement of multiple behaviors-exposures over a long period of time. It is also because in complex systems such as population’s health, the effect of rich interactions between its parts cannot be predicted based on traditional causal models of epidemiology. Within complex systems, understanding the interactions between system components can be more important than the contribution of each to disease risk.

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Ecological Momentary Assessment in Behavioral Medicine

Cited by 35 publications

References 54 publications

Compliance with ecological momentary assessment protocols in substance users: a meta‐analysis

Compliance with ecological momentary assessment protocols in substance users: a meta‐analysis

One Size Does Not Fit All: Contextualising Family Physical Activity Using a Write, Draw, Show and Tell Approach

Is uncertainty in complex disease epidemiology resolvable?

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