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Shamsi M, Kulivand A, Ghannadzadeh M, Khorsandi M, Mirhosseini S, Almasi-hashiani A, et al . Prediction of waste management behaviors of households in Arak city. J Arak Uni Med Sci 2022; 25 (4) :53-62
URL: http://jams.arakmu.ac.ir/article-1-7246-en.html

Introduction: Today, with the increase in population, the per capita production of waste materials and the subsequent threat and destruction of the environment is an increasing process, and waste management by the people of a society can play an essential role in reducing this problem. Therefore, the aim of this study was determine of predicting the waste management behaviors of households in Arak city in 2022.
Methods: This is a cross-sectional and analytical study that was carried out on 600 mothers of households in Arak city, who were selected by multi-stage sampling. The data collection tool was a valid and reliable researcher-made questionnaire that included demographic characteristics, knowledge, attitude and behavior of households in the field of waste management. Data were analyzed using SPSS software and t-test, chi-square and regression tests. This study was approved by the research ethics committee of Arak University of Medical Sciences (Code: IR.ARAKMU.REC.1401.040).
Results: The average age of the studied was 39±11 years and the number of family members was 3.6. In terms of type of housing, most of them lived in apartments (44%) and a smaller number lived in complexes (14%). 65 percent of the people had not received the training on the waste separation plan from the source, and among the effective training methods, the majority (38 percent) of the people had overestimated the effectiveness of the training through the Internet. The mean and standard deviation of knowledge was 66±19, attitude was 84±11 and performance was 73±18. The majority of the people studied had a good level of awareness and attitude. The regression analysis model showed that the greatest impact on the waste management behavior of the samples was the age of the people, their knowledge and attitude, which predicted a total of 33% of the waste management behavior.
Conclusions: Considering the favorable state of awareness and attitude of households in Arak city, it seems that for better waste management, other environmental factors should be emphasized, including sources of waste production at the source. Also, based on the prediction model, it is still important to inform and change the attitude of households in Arak city for better performance at younger ages.