Arthropod-Borne Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
Department of Public Health, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran.
Sci Rep. 2024 Jun 15;14(1):13824. doi: 10.1038/s41598-024-64600-9.
Cutaneous leishmaniasis (CL) is a disease transmitted by mosquitoes and is endemic in many regions of the world and Iran, and annually imposes a large burden on the health system. This study was conducted to identify the effective factors in the preventive behaviors of CL based on the BASNEF model in endemic areas in the northwest of Iran. This cross-sectional study was conducted in Bileh-Savar, 'endemic areas of Ardabil Province, Iran', from June 2022 to October 2022. 200 non-patients were included in the study by a multi-stage sampling method. A standard questionnaire based on the BASNEF model was applied for data collection. The data were analyzed using SPSS version 25. Means and standard deviations were calculated to describe the continuous variables, and multivariate linear regression analysis was used to determine the prediction of intention and behavior by the model structures. The BASNEF constructs predict 27% of behavioral intention changes. Among the constructs, attitude has a greater contribution in predicting changes (R = 0.27, p < 0.01). Also, the results showed that the BASNEF constructs predict 23% of behavior changes. Among the constructs, enabling factors have a greater contribution to predicting changes (R = 0.23, p < 0.01). This finding shows that behavior is more influenced by environmental factors, and educational interventions based on behavior change models, along with providing environmental conditions, can facilitate behavior change.
皮肤利什曼病(CL)是一种由蚊子传播的疾病,在世界许多地区和伊朗流行,每年给卫生系统带来沉重负担。本研究旨在根据 BASNEF 模型,在伊朗西北部的流行地区识别预防 CL 的行为的影响因素。本横断面研究于 2022 年 6 月至 2022 年 10 月在伊朗阿尔达比勒省比莱赫-萨瓦尔(Bileh-Savar)进行,纳入了 200 名非患者。采用多阶段抽样方法,根据 BASNEF 模型,采用标准问卷进行数据收集。采用 SPSS 版本 25 对数据进行分析。采用均值和标准差来描述连续变量,采用多元线性回归分析来确定模型结构对意图和行为的预测。BASNEF 结构预测行为意向变化的 27%。在这些结构中,态度对预测变化的贡献更大(R=0.27,p<0.01)。此外,研究结果表明,BASNEF 结构预测行为变化的 23%。在这些结构中,促进因素对预测变化的贡献更大(R=0.23,p<0.01)。这一发现表明,行为更多地受到环境因素的影响,基于行为改变模型的教育干预措施,以及提供环境条件,可以促进行为改变。