Tracking snacking in real time: Time to look at individualised patterns of behaviour.


Journal

Nutrition and health
ISSN: 0260-1060
Titre abrégé: Nutr Health
Pays: England
ID NLM: 8306569

Informations de publication

Date de publication:
Sep 2019
Historique:
pubmed: 28 7 2019
medline: 3 3 2020
entrez: 27 7 2019
Statut: ppublish

Résumé

Identifying when and where people overeat is important for intervention design, yet little is known about how unhealthy behaviours unfold in real life. To track the activities, social contexts and locations that co-occur with unhealthy snacking. Sixty-four adults (49F, mean age = 38.6 years) used electronic diaries to record snacking, location, social context and current activity every waking hour over 7 days. The proportion of snacking episodes that co-occurred with each location/activity/context was calculated by group and individual. Over the group, snacking was most frequent whilst socialising (19.9% of hours spent socialising) or using the TV/computer (19.7%), when with friends (16.7%) and when at home (15.3%). All intra-class correlation statistics for cued behaviour were low, indicating the importance of within-person variability. There were marked individual differences between people in what constituted a 'typical' context for snacking. People show substantial differences in the contexts in which they snack. Tailoring interventions to these individual patterns of behaviour may improve intervention efficacy.

Sections du résumé

BACKGROUND BACKGROUND
Identifying when and where people overeat is important for intervention design, yet little is known about how unhealthy behaviours unfold in real life.
AIM OBJECTIVE
To track the activities, social contexts and locations that co-occur with unhealthy snacking.
METHODS METHODS
Sixty-four adults (49F, mean age = 38.6 years) used electronic diaries to record snacking, location, social context and current activity every waking hour over 7 days. The proportion of snacking episodes that co-occurred with each location/activity/context was calculated by group and individual.
RESULTS RESULTS
Over the group, snacking was most frequent whilst socialising (19.9% of hours spent socialising) or using the TV/computer (19.7%), when with friends (16.7%) and when at home (15.3%). All intra-class correlation statistics for cued behaviour were low, indicating the importance of within-person variability. There were marked individual differences between people in what constituted a 'typical' context for snacking.
CONCLUSIONS CONCLUSIONS
People show substantial differences in the contexts in which they snack. Tailoring interventions to these individual patterns of behaviour may improve intervention efficacy.

Identifiants

pubmed: 31347450
doi: 10.1177/0260106019866099
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

179-184

Auteurs

Julia Allan (J)

Institute of Applied Health Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, UK.

David McMinn (D)

Institute of Applied Health Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, UK.
Rowett Institute, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, UK.

Daniel Powell (D)

Institute of Applied Health Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, UK.
Rowett Institute, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, UK.

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