Evidence map›Paper›PMID 36653762›Full record

ArticleBMC public health2023

Empirical validation of the information-motivation-behavioral skills model of gestational weight management behavior: a framework for intervention.

Hua You, Yuan-Yuan Wang, Chi Zhang, Anita Nyarkoa Walker, Jin-Jin Ge, Shi-Qi Zhao, Xue-Qing Peng

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Hua You *School of Public Health, Nanjing Medical University, Nanjing, China.
Yuan-Yuan Wang *Jiangsu Health Development Research Center, Nanjing, China.
Chi ZhangSchool of Nursing, Nanjing Medical University, Nanjing, China.
Anita Nyarkoa WalkerSchool of Public Health, Nanjing Medical University, Nanjing, China.
Jin-Jin GeSchool of Public Health, Nanjing Medical University, Nanjing, China.
Shi-Qi ZhaoSchool of Public Health, Nanjing Medical University, Nanjing, China.
Xue-Qing PengSchool of Public Health, Nanjing Medical University, Nanjing, China. pengxueqing1230@163.com.
Nanjing Medical University · CNDevelopment Research Center · CN

Funding

National Natural Science Foundation of China 72074122Open Project of Jiangsu Health Development Research Center JSHD2021052Philosophy and Social Science Research of Jiangsu Higher Education Institutions of China 2020SJA0306
6 · The paper itself

Abstract

backgroundUnhealthy 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.

methodsA 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.

resultsThe 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.

conclusionFindings 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.

Indexed as

Information Motivation Behavioral Skills ModelMotivationChildChinaCross-Sectional StudiesFemaleHealth BehaviorHumansPregnancyBehavioral modelGestational weight gainGestational weight managementInformation-Motivation-Behavioral skills modelStructural equation modelling

Identifiers

PMID36653762
PMCPMC9848710
OpenAlexW4317354977

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.