应用扩展保护动机模型预测宫颈癌筛查影响因素的通径分析

Mona Khalednejad, L. Salehi, Sara Pashang, A. Moghimbeigi, Atefeh Nezhadmohamad Nameghi
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摘要

背景和目的:宫颈癌是女性生殖系统最常见的癌症之一。尽管宫颈癌筛查对早期发现很重要,但接受筛查的人却很少。本研究旨在预测伊朗妇女到健康中心接受子宫颈癌筛检行为的影响因素。方法:采用方便抽样的方法,选取2021年在伊朗卡拉季各保健中心转诊的661名育龄妇女进行横断面研究。数据收集采用多部分问卷,旨在收集有关保护动机理论(PMT)和情感支持的人口学特征和结构的信息。数据分析采用SPSS 24.0版本,AMOS 24版本。结果:参与者平均年龄为38.2±13.77岁。大多数参与者拥有高中文凭和中等社会经济地位。结果显示,意向对行为的直接影响(β=0.54)和恐惧对意向的直接影响(β=-0.66)。自我效能感通过意向对行为的间接影响最大(β=0.34)。除反应成本(β=0.06)外,所有保护动机构式对宫颈癌筛查行为均有显著影响。模型拟合指标表明,扩展保护动机模型对宫颈癌筛查行为具有较好的预测能力。结论:感知自我效能感是宫颈癌筛查行为的最强预测因子,情感支持通过自我效能感和意向影响筛查行为。因此,建议在设计和规划改善宫颈癌筛查行为的教育干预措施时注意这些因素。
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Prediction of the factors influencing cervical cancer screening using the extended protection motivation model: A path analysis
Background and aims: Cervical cancer is one of the most common cancers of the female reproductive system. Despite the importance of cervical cancer screening in early detection, the uptake of screening is poor. The present study aimed to predict the factors that influence the cervical cancer screening behavior of Iranian women visiting health centers. Methods: This cross-sectional study was performed on 661 women of reproductive age referred to health centers in Karaj, Iran, in 2021, who were selected by convenience sampling. Data collection was performed with a multi-sectional questionnaire designed to collect information about demographic characteristics and constructs of Protection Motivation Theory (PMT) and emotional support. Data analysis was performed using SPSS version 24.0, and AMOS version 24. Results: The mean age of the participants was 38.2±13.77. Most of the participants had a high school diploma and a moderate socioeconomic status. The results showed the direct effect of intention on behavior (β=0.54) and the direct effect of fear on intention (β=-0.66). Perceived self-efficacy had the greatest indirect effect on behavior through intention (β=0.34). All protection motivation constructs except response cost (β=0.06) showed a significant effect on cervical cancer screening behavior. Model fit indices showed the good capability of the extended protection motivation model to predict cervical cancer screening behavior. Conclusion: Perceived self-efficacy is the strongest predictor of cervical cancer screening behavior, and emotional support affects this behavior through self-efficacy and intention. Therefore, it is recommended to pay attention to these factors when designing and planning educational interventions for improving cervical cancer screening behavior.
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