Psychometric network analysis of the Intuitive Eating Scale-2 in Chinese general adults
Psychometric network analysis of the Intuitive Eating Scale-2 in Chinese general adults
The Intuitive Eating Scale-2 (IES-2) is a measure of intuitive eating behaviors that has been extensively validated, with traditional latent variable modeling approaches, in youth and adults from many different populations, including college students in China. However, there is still a lack of research on the psychometric properties of the IES-2 in adults from the Chinese general population. Moreover, psychometric network analysis, as a complement to traditional latent variable modeling approaches, has not been used for examining the psychometric properties of the IES-2. Thus, the present study used a psychometric network approach to evaluate the psychometric properties of the IES-2 in Chinese adults from the general population. A sample of 700 Chinese general adults (50% women; Mage = 31.13 years, SD = 9.19) recruited online were included in the present study. Psychometric network analysis was performed. Exploratory graph analysis (EGA) identified four dimensions, which were well separated in the estimated network. The network structure showed excellent stability and metric measurement invariance (i.e., network loadings) across men and women. Furthermore, several items on the IES-2 were identified as key nodes in the network of the IES-2 that may be important for the development and maintenance of intuitive eating. For example, two items (i.e., “I trust my body to tell me when to eat,” and “I trust my body to tell me when to stop eating”) related to reliance on body cues were the most impactful nodes in the complete network. The findings of our study provide a greater understanding of the IES-2 from the perspective of network analysis and have implications for applications of intuitive eating interventions for general populations.
Chinese adults, IES-2, intuitive eating, network psychometric analysis
1098-1114
Ji, Feng
b8b5ae41-8935-4824-8cb6-4806df476d63
Sun, Hongyi
f8ca1e0e-b073-49c2-a489-4d0cbc27b4f1
Barnhart, Wesley R.
3afc01a3-8ab5-4ab1-807d-e6ad8574b9dc
Cui, Tianxiang
9876d8f0-caa7-4ef9-9818-e1691cbbbec8
Cui, Shuqi
58079d1b-c0e5-4e10-ba53-f0c856d80094
Zhang, Jihong
93228cda-9eeb-407d-94af-24f81b3b4e47
He, Jinbo
416edc08-e181-4590-ae2a-b694e6671831
May 2024
Ji, Feng
b8b5ae41-8935-4824-8cb6-4806df476d63
Sun, Hongyi
f8ca1e0e-b073-49c2-a489-4d0cbc27b4f1
Barnhart, Wesley R.
3afc01a3-8ab5-4ab1-807d-e6ad8574b9dc
Cui, Tianxiang
9876d8f0-caa7-4ef9-9818-e1691cbbbec8
Cui, Shuqi
58079d1b-c0e5-4e10-ba53-f0c856d80094
Zhang, Jihong
93228cda-9eeb-407d-94af-24f81b3b4e47
He, Jinbo
416edc08-e181-4590-ae2a-b694e6671831
Ji, Feng, Sun, Hongyi, Barnhart, Wesley R., Cui, Tianxiang, Cui, Shuqi, Zhang, Jihong and He, Jinbo
(2024)
Psychometric network analysis of the Intuitive Eating Scale-2 in Chinese general adults.
Journal of Clinical Psychology, 80 (5), .
(doi:10.1002/jclp.23657).
Abstract
The Intuitive Eating Scale-2 (IES-2) is a measure of intuitive eating behaviors that has been extensively validated, with traditional latent variable modeling approaches, in youth and adults from many different populations, including college students in China. However, there is still a lack of research on the psychometric properties of the IES-2 in adults from the Chinese general population. Moreover, psychometric network analysis, as a complement to traditional latent variable modeling approaches, has not been used for examining the psychometric properties of the IES-2. Thus, the present study used a psychometric network approach to evaluate the psychometric properties of the IES-2 in Chinese adults from the general population. A sample of 700 Chinese general adults (50% women; Mage = 31.13 years, SD = 9.19) recruited online were included in the present study. Psychometric network analysis was performed. Exploratory graph analysis (EGA) identified four dimensions, which were well separated in the estimated network. The network structure showed excellent stability and metric measurement invariance (i.e., network loadings) across men and women. Furthermore, several items on the IES-2 were identified as key nodes in the network of the IES-2 that may be important for the development and maintenance of intuitive eating. For example, two items (i.e., “I trust my body to tell me when to eat,” and “I trust my body to tell me when to stop eating”) related to reliance on body cues were the most impactful nodes in the complete network. The findings of our study provide a greater understanding of the IES-2 from the perspective of network analysis and have implications for applications of intuitive eating interventions for general populations.
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IES_network_clean version
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Accepted/In Press date: 25 January 2024
e-pub ahead of print date: 6 February 2024
Published date: May 2024
Additional Information:
Funding Information:
The authors would like to thank Haoke Li, Ruohan Yu, and Siqi Wang for their help with data collection. Jinbo He was supported by the 2022 Shenzhen College Stability Support Plan (2022 年度深圳市高等院校稳定资助项目) from Shenzhen Science and Technology Innovation Commission (Grant Number: 2023SC0028).
Keywords:
Chinese adults, IES-2, intuitive eating, network psychometric analysis
Identifiers
Local EPrints ID: 487729
URI: http://eprints.soton.ac.uk/id/eprint/487729
ISSN: 0021-9762
PURE UUID: 32ffad77-b8ee-4c81-9b40-a5eb8eb37b50
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Date deposited: 01 Mar 2024 17:54
Last modified: 24 Apr 2024 02:05
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Contributors
Author:
Feng Ji
Author:
Hongyi Sun
Author:
Wesley R. Barnhart
Author:
Tianxiang Cui
Author:
Shuqi Cui
Author:
Jihong Zhang
Author:
Jinbo He
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