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Seyedeh Sahar Ghaemmaghami Hezaveh, Rasul Nasiri, Mohamad Reza Masoudinezhad, Saeed Motassadi Zarandi, Morteza Tahamipour,
Volume 21, Issue 4 (3-2024)
Abstract
Background and Aim: Cement production is the source of 7% of global CO2 emissions. In order to reduce emissions by 0.7% annually until 2030, the cement industries can adopt the circular economy model. The present study aimed to assess the environmental sustainability of the Sufian cement industry based on the circular economy model.
Materials and Methods: Based on the circular economy model of the Ellen MacArthur Foundation, this research was conducted in three steps in the Sufian Cement Factory in 2021-22: Step1. Data were collected on fuel consumption, electricity, water, production waste, released gases and costs; Step 2. Based on literature review and experts opinions strategies and solutions to move towards a circular economy were determined; Step 3. The index of linearity and rotation in the current and future state was calculated for the Sufian cement industry.
Results: The data obtained showed that the Sufian cement industry is currently heavily dependent on primary raw materials and operates in a linear economy. Implementing the recommended strategies would be expected to reduce the linearity index to below 1 and increase the rotation index to above 0.1. These findings indicate a positive shift towards a circular economy.
Conclusion: The findings of this study reveal that the Sufian cement industry is currently totally based on linear economy, but it can, through implementing the relevant strategies, potentially transit to a circular economy, which will increase the factory’s net profit, protect resources and reduce CO2 emissions.
Aram Halimi, Goljamal Jorjani, Leyla Sharifi Aliabadi, Mohammad Reza Taherian, Haniyeh Yeganeh, Matin Shokrgozar, Gholamreza Ebrahimi, Mohammad Hossein Panahi,
Volume 22, Issue 1 (10-2024)
Abstract
Background and Aim: This study aimed to assess and prioritize the health needs of a community served by the Imamzadeh Ghasem Health Center in Tehran city, Iran.
Materials and Methods: This study was conducted based on the North Carolina model for comprehensive community health assessment. General information and available facilities were extracted from secondary sources, while insights into specific community needs were gathered through interviews with 76 individuals representing diverse demographics. The assessment was made by secondary data analysis and direct interviews.
Finally, the prioritization of health needs of the community was based on a scoring system based on severity, extent, and ease of being solved.
Results: The findings revealed that sewage problems, construction issues and waste management were considered to be the primary health concerns in the region. Comparative analysis with the situation in other regions in Iran emphasizes the unique challenges faced by the community in the present study.
Conclusion: The prioritized health issues highlight the community's urgent needs, requiring targeted interventions. Proposed solutions include legal measures, public education and municipal interventions to address the sewage, construction and waste management problems.
Mohammad Bidkhori, Mahdi Akbarzadeh, Noushin Fahimfar, Bagher Larijani, Iraj Nabipour, Afshin Ostovar, Kourosh Holakouie-Naieni,
Volume 23, Issue 1 (6-2025)
Abstract
Background and Aim: The Trabecular Bone Score (TBS) is a novel tool for assessing bone microarchitecture and identifying individuals at risk for osteoporotic fractures. This study aimed to evaluate the association between Single Nucleotide Polymorphisms (SNPs) of the SOST gene and TBS in Iranian postmenopausal women.
Materials and Methods: This study included 1/071 postmenopausal women from the Bushehr Elderly Health (BEH) Cohort study. Relationship between Seven independent SNPs in the SOST gene located on chromosome 17q21.31 were investigated with TBS L1–L4. Associations were tested using generalized linear models under additive, dominant, and recessive genetic models. A genetic score was also calculated by summing the weighted number of risk alleles based on the regression coefficients of the SNPs.
Results: After adjustment for age and Body Mass Index (BMI), SNP rs2023794-C showed a statistically significant association with TBS in the additive model (β = 0/ 03, P = 4/7×10⁻⁵, PFDR = 0/0003) and the dominant model (β = 0/033, P = 2/5×10⁻⁵, PFDR = 0/0003). Furthermore, higher genetic scores were positively associated with increased TBS values.
Conclusion: Our findings highlight the potential role of SOST gene variants and derived genetic score in predicting bone quality in postmenopausal women. These genes could aid in identifying individuals at higher risk of poor bone quality and in developing personalized osteoporosis prevention strategies.
