The University of Southampton
University of Southampton Institutional Repository

A new statistical model for the Day Reconstruction Method

A new statistical model for the Day Reconstruction Method
A new statistical model for the Day Reconstruction Method
The Day Reconstruction Method (DRM) is a method to measure one's subjective affective status by soliciting information in a questionnaire about the previous day's activities. We developed a new model to examine the association of daily activities, the friendliness of interacting partners, and time-of-day on net affect scores among 10,377 adults participating in the World Health Organization's Study on global ageing and adult health (SAGE). A multilevel regression was fitted and the time-of-day effect was modeled by restricted cubic spline. The net affect score was a serpentine curve; stable from 4 a.m. to 6 a.m., increased from 7 a.m. to 12 noon, and became stable onwards. Participants had the highest net affect scores during religious activities (0.48, 95% confidence interval [CI]: 0.44, 0.53), and they enjoyed leisure activities, exercising, and household responsibilities more than work. Compared with events that lacked interacting partners, activities with very friendly interacting partners were associated with higher net affect scores (0.21, 95% CI: 0.19, 0.22), but events with slightly friendly interacting partners, slightly irritating or very irritating partners had lower net affect scores. To conclude, researchers using DRM for assessing well-being status across time should include the type of activities and the friendliness of the interacting partners.
data analysis, non-linear, questionnaire, well-being, World Health Organization
1049-8931
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
Tse, Andy C.Y.
e0d6b2be-a736-43ac-b03e-d2d58a56e114
Lee, Ka Yiu
e511eedb-2980-47ce-afe2-a2eb69917381
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
Tse, Andy C.Y.
e0d6b2be-a736-43ac-b03e-d2d58a56e114
Lee, Ka Yiu
e511eedb-2980-47ce-afe2-a2eb69917381

Lee, Paul H., Tse, Andy C.Y. and Lee, Ka Yiu (2017) A new statistical model for the Day Reconstruction Method. International Journal of Methods in Psychiatric Research, 26 (4), [e1547]. (doi:10.1002/mpr.1547).

Record type: Article

Abstract

The Day Reconstruction Method (DRM) is a method to measure one's subjective affective status by soliciting information in a questionnaire about the previous day's activities. We developed a new model to examine the association of daily activities, the friendliness of interacting partners, and time-of-day on net affect scores among 10,377 adults participating in the World Health Organization's Study on global ageing and adult health (SAGE). A multilevel regression was fitted and the time-of-day effect was modeled by restricted cubic spline. The net affect score was a serpentine curve; stable from 4 a.m. to 6 a.m., increased from 7 a.m. to 12 noon, and became stable onwards. Participants had the highest net affect scores during religious activities (0.48, 95% confidence interval [CI]: 0.44, 0.53), and they enjoyed leisure activities, exercising, and household responsibilities more than work. Compared with events that lacked interacting partners, activities with very friendly interacting partners were associated with higher net affect scores (0.21, 95% CI: 0.19, 0.22), but events with slightly friendly interacting partners, slightly irritating or very irritating partners had lower net affect scores. To conclude, researchers using DRM for assessing well-being status across time should include the type of activities and the friendliness of the interacting partners.

This record has no associated files available for download.

More information

Accepted/In Press date: 23 September 2016
Published date: 1 December 2017
Additional Information: Publisher Copyright: Copyright © 2016 John Wiley & Sons, Ltd.
Keywords: data analysis, non-linear, questionnaire, well-being, World Health Organization

Identifiers

Local EPrints ID: 475154
URI: http://eprints.soton.ac.uk/id/eprint/475154
ISSN: 1049-8931
PURE UUID: 75f99e6d-d0b0-4f73-a5e0-49ffa4f29edf
ORCID for Paul H. Lee: ORCID iD orcid.org/0000-0002-5729-6450

Catalogue record

Date deposited: 10 Mar 2023 17:46
Last modified: 17 Mar 2024 04:16

Export record

Altmetrics

Contributors

Author: Paul H. Lee ORCID iD
Author: Andy C.Y. Tse
Author: Ka Yiu Lee

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×