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Empirical validation of the information-motivation-behavioral skills model of gestational weight management behavior: a framework for intervention
BACKGROUND: Unhealthy gestational weight gain is a modifiable risk factor for adverse maternal and child health. Appropriate and effective intervention strategies that focus on behavioral change or maintenance are critical in weight management during pregnancy. Our aim was to uncover the influencing...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848710/ https://www.ncbi.nlm.nih.gov/pubmed/36653762 http://dx.doi.org/10.1186/s12889-023-15067-2 |
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author | You, Hua Wang, Yuan-Yuan Zhang, Chi Walker, Anita Nyarkoa Ge, Jin-Jin Zhao, Shi-Qi Peng, Xue-Qing |
author_facet | You, Hua Wang, Yuan-Yuan Zhang, Chi Walker, Anita Nyarkoa Ge, Jin-Jin Zhao, Shi-Qi Peng, Xue-Qing |
author_sort | You, Hua |
collection | PubMed |
description | BACKGROUND: Unhealthy gestational weight gain is a modifiable risk factor for adverse maternal and child health. Appropriate and effective intervention strategies that focus on behavioral change or maintenance are critical in weight management during pregnancy. Our aim was to uncover the influencing factors and psychosocial mechanisms of gestational weight control behavior, and to construct a behavioral model suitable for intervention based on Information-Motivation-Behavioral skills (IMB) model. METHODS: A sample of 559 pregnant women from a municipal maternal and child healthcare facility in Jiangsu Province, China was enrolled in this cross-sectional empirical study. Partial least square structural equation modelling was used to verify the hypothesized model, and post hoc analyses was used to test the effect of parity and pre-pregnancy BMI on the model. RESULTS: The IMB model elements can predict gestational weight management (GWM) behavior well, with information being the most influential factor. As predicted, information affects GWM directly (β = 0.325, p < 0.05) and indirectly (β = 0.054, p < 0.05) through behavioral skills. Likewise, motivation has direct (β = 0.461, p < 0.05) effects on GWM, and has indirect (β = 0.071, p < 0.05) effects through behavioral skills. Behavioral skills have a direct impact (β = 0.154, p < 0.05). The model had a goodness of fit (GOF = 0.421) and was robust when tested in subgroups of different parity or pre-pregnancy BMI. CONCLUSION: Findings from this study supported the predictions of the IMB model for GWM behavior, and identified its modifiable determinants. The tested behavior model for GWM can serve as a new validated intervention strategy in weight management among pregnant women. |
format | Online Article Text |
id | pubmed-9848710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98487102023-01-19 Empirical validation of the information-motivation-behavioral skills model of gestational weight management behavior: a framework for intervention You, Hua Wang, Yuan-Yuan Zhang, Chi Walker, Anita Nyarkoa Ge, Jin-Jin Zhao, Shi-Qi Peng, Xue-Qing BMC Public Health Research BACKGROUND: Unhealthy gestational weight gain is a modifiable risk factor for adverse maternal and child health. Appropriate and effective intervention strategies that focus on behavioral change or maintenance are critical in weight management during pregnancy. Our aim was to uncover the influencing factors and psychosocial mechanisms of gestational weight control behavior, and to construct a behavioral model suitable for intervention based on Information-Motivation-Behavioral skills (IMB) model. METHODS: A sample of 559 pregnant women from a municipal maternal and child healthcare facility in Jiangsu Province, China was enrolled in this cross-sectional empirical study. Partial least square structural equation modelling was used to verify the hypothesized model, and post hoc analyses was used to test the effect of parity and pre-pregnancy BMI on the model. RESULTS: The IMB model elements can predict gestational weight management (GWM) behavior well, with information being the most influential factor. As predicted, information affects GWM directly (β = 0.325, p < 0.05) and indirectly (β = 0.054, p < 0.05) through behavioral skills. Likewise, motivation has direct (β = 0.461, p < 0.05) effects on GWM, and has indirect (β = 0.071, p < 0.05) effects through behavioral skills. Behavioral skills have a direct impact (β = 0.154, p < 0.05). The model had a goodness of fit (GOF = 0.421) and was robust when tested in subgroups of different parity or pre-pregnancy BMI. CONCLUSION: Findings from this study supported the predictions of the IMB model for GWM behavior, and identified its modifiable determinants. The tested behavior model for GWM can serve as a new validated intervention strategy in weight management among pregnant women. BioMed Central 2023-01-18 /pmc/articles/PMC9848710/ /pubmed/36653762 http://dx.doi.org/10.1186/s12889-023-15067-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research You, Hua Wang, Yuan-Yuan Zhang, Chi Walker, Anita Nyarkoa Ge, Jin-Jin Zhao, Shi-Qi Peng, Xue-Qing Empirical validation of the information-motivation-behavioral skills model of gestational weight management behavior: a framework for intervention |
title | Empirical validation of the information-motivation-behavioral skills model of gestational weight management behavior: a framework for intervention |
title_full | Empirical validation of the information-motivation-behavioral skills model of gestational weight management behavior: a framework for intervention |
title_fullStr | Empirical validation of the information-motivation-behavioral skills model of gestational weight management behavior: a framework for intervention |
title_full_unstemmed | Empirical validation of the information-motivation-behavioral skills model of gestational weight management behavior: a framework for intervention |
title_short | Empirical validation of the information-motivation-behavioral skills model of gestational weight management behavior: a framework for intervention |
title_sort | empirical validation of the information-motivation-behavioral skills model of gestational weight management behavior: a framework for intervention |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848710/ https://www.ncbi.nlm.nih.gov/pubmed/36653762 http://dx.doi.org/10.1186/s12889-023-15067-2 |
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