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Identifying weight management clusters and examining differences in eating behaviour and psychological traits: An exploratory study

Jennifer Gatzemeier Orcid Logo, Laura Wilkinson Orcid Logo, Menna Price Orcid Logo, Michelle Lee Orcid Logo

Appetite, Volume: 175, Start page: 106039

Swansea University Authors: Jennifer Gatzemeier Orcid Logo, Laura Wilkinson Orcid Logo, Menna Price Orcid Logo, Michelle Lee Orcid Logo

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DOI (Published version): 10.1016/j.appet.2022.106039

Abstract

Previous research has suggested differences in psychological traits and eating behaviours between groups of individuals with varying weight management profiles, for example, differences between individuals who have maintained weight loss compared to those who have not. However, no study has looked a...

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Published in: Appetite
ISSN: 0195-6663
Published: Elsevier BV 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa59798
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spelling 2022-09-05T12:56:16.4000604 v2 59798 2022-04-12 Identifying weight management clusters and examining differences in eating behaviour and psychological traits: An exploratory study 62db76f37331c2f7cb948ffe027d078b 0000-0001-7699-3406 Jennifer Gatzemeier Jennifer Gatzemeier true false 07aeb47532af5a8421686d4f22f4a226 0000-0002-8093-0843 Laura Wilkinson Laura Wilkinson true false e8d0f85a0d2762328c906c75b1d154b7 0000-0002-0025-0881 Menna Price Menna Price true false 503d8657d47c066ada31f344b030c352 0000-0002-1291-5895 Michelle Lee Michelle Lee true false 2022-04-12 HPS Previous research has suggested differences in psychological traits and eating behaviours between groups of individuals with varying weight management profiles, for example, differences between individuals who have maintained weight loss compared to those who have not. However, no study has looked at differences in traits across a sample with a broad range of characteristics including variations in bodyweight and its management. Across two studies, we identified and validated weight management profiles using a clustering approach and examined trait differences across groups. Data were collected using online questionnaires (Study 1: secondary data analysis; Study 2: primary data analysis allowing for cluster validation). Cluster analysis was implemented with BMI, diet history, weight suppression (difference between highest and current weight) as primary grouping variables, and age and gender as covariates. Differences in psychological and eating behaviour traits (e.g., restraint) were explored across clusters. In study 1, 423 participants (27.21 ± 9.90 years) were grouped into 5 clusters: ‘lean men’, ‘lean young women’, ‘lean middle-aged women’, ‘successful’ and ‘unsuccessful dieters’. The cluster structure was broadly replicated with two additional groups identified (‘lean women without dieting’ and ‘very successful dieters’) in study 2 with 368 participants (34.41 ± 13.63 years). In both studies, unsuccessful dieters had higher restrained and emotional eating scores than lean individuals, and in study 1, they also had higher food addiction scores than successful dieters. Individuals could be grouped in terms of their weight management profiles and differences in psychological and eating behaviour traits were evident across these groups. Considering the differences in traits between the clusters may further improve the effectiveness and adherence of weight management advice. Journal Article Appetite 175 106039 Elsevier BV 0195-6663 Weight management, Psychological trait, Eating behavior traits 1 8 2022 2022-08-01 10.1016/j.appet.2022.106039 COLLEGE NANME Psychology COLLEGE CODE HPS Swansea University SU Library paid the OA fee (TA Institutional Deal) None 2022-09-05T12:56:16.4000604 2022-04-12T10:00:13.5650725 Faculty of Medicine, Health and Life Sciences School of Psychology Jennifer Gatzemeier 0000-0001-7699-3406 1 Laura Wilkinson 0000-0002-8093-0843 2 Menna Price 0000-0002-0025-0881 3 Michelle Lee 0000-0002-1291-5895 4 59798__24036__cd750ed4e8cb4cf49b43c6f5cd5fb44a.pdf 59798.pdf 2022-05-09T14:19:55.5074770 Output 2882518 application/pdf Version of Record true © 2022 The Authors. This is an open access article under the CC BY license true eng http://creativecommons.org/licenses/by/4.0/
title Identifying weight management clusters and examining differences in eating behaviour and psychological traits: An exploratory study
spellingShingle Identifying weight management clusters and examining differences in eating behaviour and psychological traits: An exploratory study
Jennifer Gatzemeier
Laura Wilkinson
Menna Price
Michelle Lee
title_short Identifying weight management clusters and examining differences in eating behaviour and psychological traits: An exploratory study
title_full Identifying weight management clusters and examining differences in eating behaviour and psychological traits: An exploratory study
title_fullStr Identifying weight management clusters and examining differences in eating behaviour and psychological traits: An exploratory study
title_full_unstemmed Identifying weight management clusters and examining differences in eating behaviour and psychological traits: An exploratory study
title_sort Identifying weight management clusters and examining differences in eating behaviour and psychological traits: An exploratory study
author_id_str_mv 62db76f37331c2f7cb948ffe027d078b
07aeb47532af5a8421686d4f22f4a226
e8d0f85a0d2762328c906c75b1d154b7
503d8657d47c066ada31f344b030c352
author_id_fullname_str_mv 62db76f37331c2f7cb948ffe027d078b_***_Jennifer Gatzemeier
07aeb47532af5a8421686d4f22f4a226_***_Laura Wilkinson
e8d0f85a0d2762328c906c75b1d154b7_***_Menna Price
503d8657d47c066ada31f344b030c352_***_Michelle Lee
author Jennifer Gatzemeier
Laura Wilkinson
Menna Price
Michelle Lee
author2 Jennifer Gatzemeier
Laura Wilkinson
Menna Price
Michelle Lee
format Journal article
container_title Appetite
container_volume 175
container_start_page 106039
publishDate 2022
institution Swansea University
issn 0195-6663
doi_str_mv 10.1016/j.appet.2022.106039
publisher Elsevier BV
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology
document_store_str 1
active_str 0
description Previous research has suggested differences in psychological traits and eating behaviours between groups of individuals with varying weight management profiles, for example, differences between individuals who have maintained weight loss compared to those who have not. However, no study has looked at differences in traits across a sample with a broad range of characteristics including variations in bodyweight and its management. Across two studies, we identified and validated weight management profiles using a clustering approach and examined trait differences across groups. Data were collected using online questionnaires (Study 1: secondary data analysis; Study 2: primary data analysis allowing for cluster validation). Cluster analysis was implemented with BMI, diet history, weight suppression (difference between highest and current weight) as primary grouping variables, and age and gender as covariates. Differences in psychological and eating behaviour traits (e.g., restraint) were explored across clusters. In study 1, 423 participants (27.21 ± 9.90 years) were grouped into 5 clusters: ‘lean men’, ‘lean young women’, ‘lean middle-aged women’, ‘successful’ and ‘unsuccessful dieters’. The cluster structure was broadly replicated with two additional groups identified (‘lean women without dieting’ and ‘very successful dieters’) in study 2 with 368 participants (34.41 ± 13.63 years). In both studies, unsuccessful dieters had higher restrained and emotional eating scores than lean individuals, and in study 1, they also had higher food addiction scores than successful dieters. Individuals could be grouped in terms of their weight management profiles and differences in psychological and eating behaviour traits were evident across these groups. Considering the differences in traits between the clusters may further improve the effectiveness and adherence of weight management advice.
published_date 2022-08-01T04:17:22Z
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