TY - JOUR
T1 - Understanding health behaviours in context: A systematic review and meta-analysis of ecological momentary assessment studies of five key health behaviours
AU - Perski, Olga
AU - Keller, Jan
AU - Kale, Dimitra
AU - Asare, Bernard Yeboah-Asiamah
AU - Schneider, Verena
AU - Powell, Daniel
AU - Naughton, Felix
AU - ten Hoor, Gill
AU - Verboon, Peter
AU - Kwasnicka, Dominika
N1 - Data availability: The data underpinning the analyses are openly available via Zenodo: https://doi.org/10.5281/zenodo.5701127. The R code used for the analyses is openly available via GitHub: https://github.com/OlgaPerski/EMA_systematic_review
Funding: Olga Perski and Dimitra Kale receive salary support from Cancer Research UK (C1417/A22962). Daniel Powell is funded by the Scottish Government’s Rural and Environment Science and Analytical Services (RESAS) and by the School of Medicine, Medical Sciences, and Nutrition (SMMSN) at the University of Aberdeen. Felix Naughton’s salary is covered by the Faculty of Medicine and Health Sciences at the University of East Anglia. Dominika Kwasnicka’s work is carried out within the HOMING program of the Foundation for Polish Science co-financed by the European Union under the European Regional Development Fund (grant number POIR.04.04.00-00-5CF3/18-00; HOMING 5/2018) and she is also funded by the NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Australia.
PY - 2022/12
Y1 - 2022/12
N2 - Ecological Momentary Assessment (EMA) involves repeated, real-time sampling of health behaviours in context. We present the state-of-knowledge in EMA research focused on five key health behaviours (physical activity and sedentary behaviour, dietary behaviour, alcohol consumption, tobacco smoking, sexual health), summarising theoretical (e.g., psychological and contextual predictors) and methodological aspects (e.g., study characteristics, EMA adherence). We searched Ovid MEDLINE, Embase, PsycINFO and Web of Science until February 2021. We included studies focused on any of the aforementioned health behaviours in adult, non-clinical populations that assessed ≥1 psychological/contextual predictor and reported a predictor-behaviour association. A narrative synthesis and random-effects meta-analyses of EMA adherence were conducted. We included 633 studies. The median study duration was 14 days. The most frequently assessed predictors were ‘negative feeling states’ (21%) and ‘motivation and goals’ (16.5%). The pooled percentage of EMA adherence was high at 81.4% (95% CI = 80.0%, 82.8%, k = 348) and did not differ by target behaviour but was somewhat higher in student (vs. general population) samples, when EMAs were delivered via mobile phones/smartphones (vs. handheld devices), and when event contingent (vs. fixed) sampling was used. This review showcases how the EMA method has been applied to improve understanding and prediction of health behaviours in context.
AB - Ecological Momentary Assessment (EMA) involves repeated, real-time sampling of health behaviours in context. We present the state-of-knowledge in EMA research focused on five key health behaviours (physical activity and sedentary behaviour, dietary behaviour, alcohol consumption, tobacco smoking, sexual health), summarising theoretical (e.g., psychological and contextual predictors) and methodological aspects (e.g., study characteristics, EMA adherence). We searched Ovid MEDLINE, Embase, PsycINFO and Web of Science until February 2021. We included studies focused on any of the aforementioned health behaviours in adult, non-clinical populations that assessed ≥1 psychological/contextual predictor and reported a predictor-behaviour association. A narrative synthesis and random-effects meta-analyses of EMA adherence were conducted. We included 633 studies. The median study duration was 14 days. The most frequently assessed predictors were ‘negative feeling states’ (21%) and ‘motivation and goals’ (16.5%). The pooled percentage of EMA adherence was high at 81.4% (95% CI = 80.0%, 82.8%, k = 348) and did not differ by target behaviour but was somewhat higher in student (vs. general population) samples, when EMAs were delivered via mobile phones/smartphones (vs. handheld devices), and when event contingent (vs. fixed) sampling was used. This review showcases how the EMA method has been applied to improve understanding and prediction of health behaviours in context.
U2 - 10.1080/17437199.2022.2112258
DO - 10.1080/17437199.2022.2112258
M3 - Article
VL - 16
SP - 576
EP - 601
JO - Health Psychology Review
JF - Health Psychology Review
SN - 1743-7199
IS - 4
ER -