Mother and Child Welfare Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
The Centre for Interdisciplinary Studies of Children, Families and Society, Faculty of Community and Health Sciences, University of the Western Cape, Bellville, South Africa.
BMC Cancer. 2023 Aug 8;23(1):730. doi: 10.1186/s12885-023-11240-3.
Cervical cancer (CC) can be prevented through early detection facilitated by screening as well as an early diagnosis and effective treatment of the precancerous lesions. The present research aimed to determine the predictors of cervical cancer screening (CCS) based on the PEN-3 model constructs.
A cross-sectional study was conducted between September 2021- March 2022 with 840 women aged 15-49 in the city of Bandar Abbas, in the south of Iran, using a cluster sampling. The participants completed a valid and reliable self-administered questionnaire in person. The questionnaire included demographic characteristics, knowledge toward CC and the constructs of the PEN-3 model toward CCS. A multivariable logistic regression was used to determine the relationship and predictive power of model constructs with behavior as an outcome variable. The data were statistically analyzed in STATA. The p-value < 0.05 was considered statistically significant.
A total of 810 questionnaires were analyzed (with a return of 95.63%). The mean and standard deviation of the participants' age was 30.97 ± 5.80 years. Pearson correlation coefficient analysis of all constructs and CCS behavior was statistically significant (P-value < 0.05). The multivariable logistic regression analytic results were enablers toward CCS (coefficient: 0.275) and Nurturers toward CCS (coefficient: 0.182), perceptions toward CCS (coefficient: 0.077) and knowledge toward CC (coefficient: 0.048, marginal significant) were predictors of CCS behavior. For the internal validity of the designed prediction model, a sample of 1000 was selected using the bootstrap sample replacement method which demonstrated the accuracy of the model PEN-3 is about 75% in predicting CCS behavior.
The results of the present research showed that personal factors such as perceptions and interpersonal factors such as enablers and nurturers toward CCS can predict CCS behavior. Therefore, in order to increase the acceptance of CCS in women, a set of intrapersonal and interpersonal factors should be taken into account.
宫颈癌（CC）可以通过筛查来实现早期发现，从而进行早期诊断和有效治疗癌前病变，进而得到预防。本研究旨在根据 PEN-3 模型结构来确定宫颈癌筛查（CCS）的预测因素。
本研究为 2021 年 9 月至 2022 年 3 月期间在伊朗南部城市班达尔阿巴斯进行的横断面研究，采用整群抽样法选取了 840 名年龄在 15-49 岁的女性。研究对象通过个人问卷调查方式完成了一份有效且可靠的自填式问卷，问卷内容包括人口统计学特征、对 CC 的认知以及对 PEN-3 模型结构的认知。多变量逻辑回归用于确定模型结构与行为之间的关系和预测能力，行为是作为因变量。采用 STATA 对数据进行统计学分析。p 值<0.05 被认为具有统计学意义。
共分析了 810 份问卷（回收率为 95.63%）。研究对象的平均年龄和标准差为 30.97±5.80 岁。所有结构与 CCS 行为的 Pearson 相关系数分析均具有统计学意义（p 值<0.05）。多变量逻辑回归分析结果显示，促进 CCS 的因素（系数：0.275）和促进 CCS 的因素（系数：0.182）、对 CCS 的感知（系数：0.077）和对 CC 的知识（系数：0.048，边际显著）是 CCS 行为的预测因素。为了评估设计的预测模型的内部有效性，使用bootstrap 样本替换方法从原始样本中抽取了 1000 个样本，结果表明 PEN-3 模型预测 CCS 行为的准确率约为 75%。
本研究结果表明，个人因素（如认知）和人际因素（如促进者和促进者）可预测 CCS 行为。因此，为了提高女性对 CCS 的接受度，应考虑一系列的个人和人际因素。
