TY - JOUR
T1 - The effects of acceptance and commitment therapy on eating behavior and diet delivered through face-to-face contact and a mobile app
T2 - A randomized controlled trial
AU - Järvelä-Reijonen, Elina
AU - Karhunen, Leila
AU - Sairanen, Essi
AU - Muotka, Joona
AU - Lindroos, Sanni
AU - Laitinen, Jaana
AU - Puttonen, Sampsa
AU - Peuhkuri, Katri
AU - Hallikainen, Maarit
AU - Pihlajamäki, Jussi
AU - Korpela, Riitta
AU - Ermes, Miikka
AU - Lappalainen, Raimo
AU - Kolehmainen, Marjukka
N1 - Funding Information:
The Elixir study was supported by the SalWe Research Program for Mind and Body (Tekes – the Finnish Funding Agency for Technology and Innovation grant 1104/10). The preparation of this paper was also supported by grant from the Business Finland (no. 2726/31/2014), by grant from the Academy of Finland (no. 286028), by a personal grant (EJ-R) of The Diabetes Research Foundation, by a personal grant (EJ-R) of Finnish Cultural Foundation, North Savo Regional fund, and by the PhD student position (EJ-R) in the Doctoral Programme in Nutrition of the Faculty of Health Sciences, University of Eastern Finland. The funding sources did not have a role in the study design, data collection, data analysis, interpretation of the findings, writing of the article, or the decision to submit the paper for publication.
Publisher Copyright:
© 2018 The Author(s).
PY - 2018/2/27
Y1 - 2018/2/27
N2 - Background: Internal motivation and good psychological capabilities are important factors in successful eating-related behavior change. Thus, we investigated whether general acceptance and commitment therapy (ACT) affects reported eating behavior and diet quality and whether baseline perceived stress moderates the intervention effects. Methods: Secondary analysis of unblinded randomized controlled trial in three Finnish cities. Working-aged adults with psychological distress and overweight or obesity in three parallel groups: (1) ACT-based Face-to-face (n = 70; six group sessions led by a psychologist), (2) ACT-based Mobile (n = 78; one group session and mobile app), and (3) Control (n = 71; only the measurements). At baseline, the participants' (n = 219, 85% females) mean body mass index was 31.3 kg/m2 (SD = 2.9), and mean age was 49.5 years (SD = 7.4). The measurements conducted before the 8-week intervention period (baseline), 10 weeks after the baseline (post-intervention), and 36 weeks after the baseline (follow-up) included clinical measurements, questionnaires of eating behavior (IES-1, TFEQ-R18, HTAS, ecSI 2.0, REBS), diet quality (IDQ), alcohol consumption (AUDIT-C), perceived stress (PSS), and 48-h dietary recall. Hierarchical linear modeling (Wald test) was used to analyze the differences in changes between groups. Results: Group x time interactions showed that the subcomponent of intuitive eating (IES-1), i.e., Eating for physical rather than emotional reasons, increased in both ACT-based groups (p = .019); the subcomponent of TFEQ-R18, i.e., Uncontrolled eating, decreased in the Face-to-face group (p = .020); the subcomponent of health and taste attitudes (HTAS), i.e., Using food as a reward, decreased in the Mobile group (p = .048); and both subcomponent of eating competence (ecSI 2.0), i.e., Food acceptance (p = .048), and two subcomponents of regulation of eating behavior (REBS), i.e., Integrated and Identified regulation (p = .003, p = .023, respectively), increased in the Face-to-face group. Baseline perceived stress did not moderate effects on these particular features of eating behavior from baseline to follow-up. No statistically significant effects were found for dietary measures. Conclusions: ACT-based interventions, delivered in group sessions or by mobile app, showed beneficial effects on reported eating behavior. Beneficial effects on eating behavior were, however, not accompanied by parallel changes in diet, which suggests that ACT-based interventions should include nutritional counseling if changes in diet are targeted.
AB - Background: Internal motivation and good psychological capabilities are important factors in successful eating-related behavior change. Thus, we investigated whether general acceptance and commitment therapy (ACT) affects reported eating behavior and diet quality and whether baseline perceived stress moderates the intervention effects. Methods: Secondary analysis of unblinded randomized controlled trial in three Finnish cities. Working-aged adults with psychological distress and overweight or obesity in three parallel groups: (1) ACT-based Face-to-face (n = 70; six group sessions led by a psychologist), (2) ACT-based Mobile (n = 78; one group session and mobile app), and (3) Control (n = 71; only the measurements). At baseline, the participants' (n = 219, 85% females) mean body mass index was 31.3 kg/m2 (SD = 2.9), and mean age was 49.5 years (SD = 7.4). The measurements conducted before the 8-week intervention period (baseline), 10 weeks after the baseline (post-intervention), and 36 weeks after the baseline (follow-up) included clinical measurements, questionnaires of eating behavior (IES-1, TFEQ-R18, HTAS, ecSI 2.0, REBS), diet quality (IDQ), alcohol consumption (AUDIT-C), perceived stress (PSS), and 48-h dietary recall. Hierarchical linear modeling (Wald test) was used to analyze the differences in changes between groups. Results: Group x time interactions showed that the subcomponent of intuitive eating (IES-1), i.e., Eating for physical rather than emotional reasons, increased in both ACT-based groups (p = .019); the subcomponent of TFEQ-R18, i.e., Uncontrolled eating, decreased in the Face-to-face group (p = .020); the subcomponent of health and taste attitudes (HTAS), i.e., Using food as a reward, decreased in the Mobile group (p = .048); and both subcomponent of eating competence (ecSI 2.0), i.e., Food acceptance (p = .048), and two subcomponents of regulation of eating behavior (REBS), i.e., Integrated and Identified regulation (p = .003, p = .023, respectively), increased in the Face-to-face group. Baseline perceived stress did not moderate effects on these particular features of eating behavior from baseline to follow-up. No statistically significant effects were found for dietary measures. Conclusions: ACT-based interventions, delivered in group sessions or by mobile app, showed beneficial effects on reported eating behavior. Beneficial effects on eating behavior were, however, not accompanied by parallel changes in diet, which suggests that ACT-based interventions should include nutritional counseling if changes in diet are targeted.
KW - ACT
KW - Behavior change
KW - Dietary intake
KW - Intuitive eating
KW - MHealth
KW - Mindful eating
KW - Mindfulness
KW - Obesity
KW - Overweight
KW - Regulation of eating behavior
U2 - 10.1186/s12966-018-0654-8
DO - 10.1186/s12966-018-0654-8
M3 - Article
C2 - 29482636
AN - SCOPUS:85042546791
SN - 1479-5868
VL - 15
JO - International Journal of Behavioral Nutrition And Physical Activity
JF - International Journal of Behavioral Nutrition And Physical Activity
IS - 1
M1 - 22
ER -