Objectively Measured Daily Physical Activity and Postural Changes as Related to Positive and Negative Affect Using Ambulatory Monitoring Assessments

Aggio, Daniel; Wallace, Karen; Boreham, Nicola; Shankar, Aparna; Steptoe, Andrew; Hamer, Mark

doi:10.1097/psy.0000000000000485

Cited by 17 publications

(15 citation statements)

References 40 publications

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“…Aggio et al investigated the associations between device‐based assessment of physical activity and postures (i.e., sitting, standing, and the sit‐to‐stand transition) and daily affect using a sample of 51 participants (age range 19‐41 years). However, no significant between or within‐person associations were found between sitting and affect.…”

Section: Introductionmentioning

confidence: 99%

Sedentary behavior in everyday life relates negatively to mood: An ambulatory assessment study

Giurgiu

Koch

Ottenbacher³

et al. 2019

Scandinavian Med Sci Sports

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Empirical evidence shows that physical behavior positively impacts human health. Recently, researchers have started to differentiate between physical activity and sedentary behavior showing independent effects on somatic health. However, whether this differentiation is also relevant for mood dimensions is largely unknown. For investigating the dynamic relationships between sedentary behavior and mood dimensions in daily life, ambulatory assessment (AA) has become the state‐of‐the‐art methodology. To investigate whether sedentary behaviors influence mood dimensions, we conducted an AA study in the everyday life of 92 university employees over 5 days. We continuously measured sedentary behavior via accelerometers and assessed mood repeatedly 10 times each day on smartphone diaries. To optimize our sampling strategy, we used a sophisticated sedentary‐triggered algorithm. We employed multilevel modeling to analyze the within‐subject effects of sedentary behavior on mood. Sedentary time (15‐minute intervals prior to each e‐diary assessment) and sedentary bouts (30‐minute intervals of uninterrupted sedentary behavior) negatively influenced valence and energetic arousal (all Ps < 0.015). In particular, the more participants were sedentary in their everyday life, the less they felt well and energized. Exploratory analyses of the temporal course of these effects supported our findings. Sedentary behavior can be seen as a general risk factor because it impacts both somatic and mental health. Most importantly, physical activity and sedentary behavior showed independent effects on mood dimensions. Accordingly, future studies should consider the two sides of the physical behavior coin: How should physical activity be promoted? and How can sedentary behavior be reduced?

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Section: Introductionmentioning

confidence: 99%

Sedentary behavior in everyday life relates negatively to mood: An ambulatory assessment study

Giurgiu

Koch

Ottenbacher³

et al. 2019

Scandinavian Med Sci Sports

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“…We also found other terms used in a similar way, like "Ambulatory Assessment" was used in 6 studies (36,61-63,97,98), with "Naturalistic Study", only used in 1 study (35). Finally, we found 5 studies that applied a similar methodology without specifically naming it (27,59,66,77,95). The publication date of articles ranged between 2008 and 2018.…”

Section: Strategy For Data Synthesismentioning

confidence: 81%

“…Reference, year, country Study population n (males) Age Design (27), Aggio Manuscript to be reviewed Manuscript to be reviewed…”

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confidence: 99%

Peer Review #2 of "mHealth technology for ecological momentary assessment in physical activity research: a systematic review (v0.1)"

2020

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To systematically review the publications on ecological momentary assessment (EMA) relating to physical activity (PA) behavior in order to classify the methodologies and to identify the main mHealth technology-based tools and procedures that have been applied during the first ten years since the emergence of smartphones. As a result of this review we want to ask if there is enough evidence to propose the use of the term "mEMA" (mobile-based EMA).

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“…We also found other terms used in a similar way, like "Ambulatory Assessment" was used in 6 studies (Bossmann et al, 2013;Kanning, Ebner-Priemer & Schlicht, 2015;Kanning & Schoebi, 2016;Kanning & Hansen, 2017;Timmerman et al, 2015;Von Haaren et al, 2013), with "Naturalistic Study", only used in 1 study (Bonham, Pepper & Nettle, 2018). Finally, we found 5 studies that applied a similar methodology without specifically naming it (Aggio et al, 2017;Hyde et al, 2011;LePage & Crowther, 2010;Mata et al, 2012;Sternfeld et al, 2012). The publication date of articles ranged between 2008 and 2018.…”

Section: Literature Searchmentioning

confidence: 87%

mHealth technology for ecological momentary assessment in physical activity research: a systematic review

Zapata-Lamana

Lalanza

Losilla

et al. 2020

PeerJ

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Objective To systematically review the publications on ecological momentary assessment (EMA) relating to physical activity (PA) behavior in order to classify the methodologies, and to identify the main mHealth technology-based tools and procedures that have been applied during the first 10 years since the emergence of smartphones. As a result of this review, we want to ask if there is enough evidence to propose the use of the term “mEMA” (mobile-based EMA). Design A systematic review according to PRISMA Statement (PROSPERO registration: CRD42018088136). Method Four databases (PsycINFO, CINALH, Medline and Web of Science Core Collection) were searched electronically from 2008 to February 2018. Results A total of 76 studies from 297 potential articles on the use of EMA and PA were included in this review. It was found that 71% of studies specifically used “EMA” for assessing PA behaviors but the rest used other terminology that also adjusted to the inclusion criteria. Just over half (51.3%) of studies (39) used mHealth technology, mainly smartphones, for collecting EMA data. The majority (79.5%) of these studies (31 out of 39) were published during the last 4 years. On the other hand, 58.8% of studies that only used paper-and-pencil were published during the first 3 years of the 10-year period analyzed. An accelerometer was the main built-in sensor used for collecting PA behavior by means of mHealth (69%). Most of the studies were carried out on young-adult samples, with only three studies in older adults. Women were included in 60% of studies, and healthy people in 82%. The studies lasted between 1 and 7 days in 57.9%, and between three and seven assessments per day were carried out in 37%. The most popular topics evaluated together with PA were psychological state and social and environmental context. Conclusions We have classified the EMA methodologies used for assessing PA behaviors. A total of 71% of studies used the term “EMA” and 51.3% used mHealth technology. Accelerometers have been the main built-in sensor used for collecting PA. The change of trend in the use of tools for EMA in PA coincides with the technological advances of the last decade due to the emergence of smartphones and mHealth technology. There is enough evidence to use the term mEMA when mHealth technology is being used for monitoring real-time lifestyle behaviors in natural situations. We define mEMA as the use of mobile computing and communication technologies for the EMA of health and lifestyle behaviors. It is clear that the use of mHealth is increasing, but there is still a lot to be gained from taking advantage of all the capabilities of this technology in order to apply EMA to PA behavior. Thus, mEMA methodology can help in the monitoring of healthy lifestyles under both subjective and objective perspectives. The tendency for future research should be the automatic recognition of the PA of the user without interrupting their behavior. The ecological information could be completed with voice messages, image captures or brief text selections on the touch screen made in real time, all managed through smartphone apps. This methodology could be extended when EMA combined with mHealth are used to evaluate other lifestyle behaviors.

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Objectively Measured Daily Physical Activity and Postural Changes as Related to Positive and Negative Affect Using Ambulatory Monitoring Assessments

Abstract: Supplemental digital content is available in the text.

Cited by 17 publications

References 40 publications

Sedentary behavior in everyday life relates negatively to mood: An ambulatory assessment study

Sedentary behavior in everyday life relates negatively to mood: An ambulatory assessment study

Peer Review #2 of "mHealth technology for ecological momentary assessment in physical activity research: a systematic review (v0.1)"

mHealth technology for ecological momentary assessment in physical activity research: a systematic review

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