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健康信念模型因素对学龄前儿童体重父母误判的预测作用。

Health belief model factors as predictors of parental misclassification of the weight of the preschool child.

机构信息

Nursing Education Services, Nightingale College, Salt Lake City, Utah, United States of America.

College of Health, Idaho State University, Pocatello, Idaho, United States of America.

出版信息

PLoS One. 2021 Sep 10;16(9):e0252981. doi: 10.1371/journal.pone.0252981. eCollection 2021.

Abstract

BACKGROUND

Parental misperception and underestimation of their child's weight are documented in studies. Demographic factors like age and gender have been linked to misclassification. However, modifiable factors that could potentially frame future intervention and prevention strategies have not been explored. This study aimed to assess factors that could predict parental misclassification of their preschool child's weight.

METHODS

This was a cross-sectional study with 198 parents and their 2- to 5-year-old children who attended standalone preschools or childcare centers with preschools. Parents completed a questionnaire that asked about demographic features, personal and family health, and the assessment of their child's weight using the three most frequently utilized measures. Logistic regression was conducted to assess the association between parental factors and child weight classification status. Instruments included the Parental Self-Efficacy for Promoting Healthy Physical Activity and Dietary Behaviors in Children Scale (PSEPAD), the Obesity Risk Scale (ORK-10), and the Adolescent Obesity Risk Scale (AORK). Analyses included frequencies, chi-square tests, Kappa coefficients, and logistic regressions.

RESULTS

Parents were least accurate (35.9%) identifying child weight when selecting a picture (κ = -.028, p = .42). The 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. Logistic regression 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.

CONCLUSION

Results indicate parents support intervening if aware of child weight problems. However, parents do not accurately recognize healthy versus unhealthy weights and report that health providers are not informing them of weight deviations. Further, important relationships between the HBM variables were identified. Results show barriers (self-efficacy) mediate the impact of perceived severity (knowledge) regarding the parental ability to assess child weight accurately. These relationships and incorporation of the HBM principles of barriers and severity into prevention/intervention strategies need further exploration.

摘要

背景

研究表明,父母对孩子体重的误解和低估是存在的。年龄和性别等人口统计学因素与分类错误有关。然而,尚未探讨可能为未来干预和预防策略提供依据的可改变因素。本研究旨在评估可能预测父母对其学龄前儿童体重分类错误的因素。

方法

这是一项横断面研究,共有 198 名父母及其 2 至 5 岁的儿童参加,这些儿童在独立的幼儿园或附设幼儿园的托儿所就读。父母填写了一份问卷,内容涉及人口统计学特征、个人和家庭健康以及使用三种最常用的测量方法评估孩子的体重。进行逻辑回归以评估父母因素与儿童体重分类状态之间的关联。使用的工具包括促进儿童健康体力活动和饮食行为的父母自我效能感量表(PSEPAD)、肥胖风险量表(ORK-10)和青少年肥胖风险量表(AORK)。分析包括频率、卡方检验、Kappa 系数和逻辑回归。

结果

父母在选择图片时对孩子体重的识别最不准确(35.9%)(κ=-.028,p=.42)。图片和李克特方法(κ=-.032,p=.37)显示,父母对孩子体重的判断与随机猜测没有显著差异。在体重报告方法中,存在统计学上的显著一致性(κ=。21)。三个与 HBM 相关的测量方法中有两个与准确分类显著相关。逻辑回归显示,儿童性别、PSEPAD 评分和 ORK-10 评分在李克特方法中是统计学上的显著预测因素。该模型在图片或体重报告方法中没有统计学意义。

结论

结果表明,如果父母意识到孩子的体重问题,他们支持进行干预。然而,父母并不能准确识别健康和不健康的体重,并且报告称健康提供者没有告知他们体重偏差。此外,还确定了 HBM 变量之间的重要关系。结果表明,障碍(自我效能)中介了父母准确评估孩子体重的能力方面感知严重程度(知识)的影响。这些关系以及将 HBM 原则中的障碍和严重程度纳入预防/干预策略需要进一步探讨。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8be8/8432774/2b6ad6267e4b/pone.0252981.g001.jpg

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