Health Belief Model factors as predictors of parental misclassification of the weight of the preschool child
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Tanna M. Woods, PhD, MSN, RN; email: twoods@nightingale.edu
- Sigma Affiliation
- Theta Tau
- Contributor Affiliation(s)
- Nightingale College, Salt Lake City, Utah, USA
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Abstract
Parental misperception and underestimation of child weight have been well-documented in research. There is a clear link between child factors like age and gender that have been correlated to parental misperception. This study sought to explore if there were modifiable factors that affect misperception as these could be vital in framing future prevention and intervention work related to child weight. Components of the Health Belief Model were used as potential modifiable influences examined in the study.
This cross-sectional study included 198 parents and 198 children in the 2- to 5-year-old age group. These dyads were recruited from area preschools and daycares to participate. Parents filled out a questionnaire asking demographical items, personal and family health information, and items gauged to assess their child’s weight using the three most frequently utilized measures in this research area. Logistic regression was used to determine if there was an association between parental factors and child weight classification status. The Parental Self-Efficacy for Promoting Healthy Physical Activity and Dietary Behaviors in Children Scale (PSEPAD), the Adolescent Obesity Risk Scale (AORK), adn the Obesity Risk Scale (ORK-10) were other instruments used. Analyses included frequencies, chi-square tests, Kappa coefficients, and logistic regressions.
Results showed that parents in this study did misclassify child weight. They were least accurate (35.9%) identifying child weight when selecting a picture (κ =-.028, p = .42). Meanwhile, pictorial and Likert method (κ = -.032, p = .37) showed parental agreement with child weight was not significantly better than chance. Statistically, a significant agreement was found in the weight-reporting method (κ = .21). Two of the three HBM-related measures were significantly related to accurate classification. A logistic regression model showed child sex, PSEPAD scores, and ORK-10 scores were statistically significant predictors in the Likert method. The model had no statistical significance for the pictorial or weight-reporting method.
Description
Dr. Woods is a 2017-2018 Sigma grant recipient.
Repository Posting Date
2020-05-18T19:15:17Z
Notes
The Sigma Theta Tau International grant application that funded this research, in whole or in part, was completed by the applicant and peer-reviewed prior to the award of the Sigma grant. No further peer-review has taken place upon the completion of the Sigma grant final report and its appearance in this repository.
Type Information
Type | Report |
Acquisition | Self-submission |
Review Type | None: Sigma Grant Recipient Report |
Format | Text-based Document |
Category Information
Evidence Level | Cross-Sectional |
Research Approach | Quantitative Research |
Keywords | Child Weight; Parental Perception; Misperception; Classification; Health Belief Model |
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