Breast Cancer Risk Factors in Women Participating in a Breast Screening Program: a Study on 11,850 Iranian Females

Sepandi, Mojtaba,Akrami, Majid,Tabatabaee, Hamidreza,Rajaeefard, Abdolreza,Tahmasebi, Sedigheh,Angali, Kambiz Ahmadi,Rezaianzadeh, Abbas,Talei, Abdolrasoul Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.19

The incidence rate of breast cancer in developed countries is almost three-fold higher than in developing countries. Iran has had one of the lowest incidence rates for breast cancer in the world, but during the recent decades a marked increase has been seen. The purpose of this study was to investigate some established risk factors of breast cancer in Iranian women. A study of 11,850 women participating in abreast screening program was conducted. The 197 women diagnosed with breast cancer and 11,653 healthy women were compared. Logistic regression was performed to investigate associations of reproductive and anthropometric factors with breast cancer risk. Family history of breast cancer (OR=1.94, 95%CI=1.35-2.78), occupation (OR= 1.65,95%CI=1.20-2.25), education level (OR=0.50,95%CI=0.28-0.91), parity (OR=0.27, 95%CI=0.12-0.59), menopausal status (OR=3.15, 95%CI=2.35-4.21), age at menarche (OR=0.33, 95%CI=0.15-0.70), and age at the first pregnancy (OR=4.10, 95%CI=1.13-14.77) were related to the risk of breast cancer. Decrease in parity may to some extent explain the rising trend of incidence of breast cancer incidence in Iranian women.

Pathological Profile of Patients with Breast Diseases in Shiraz

Rezaianzadeh, Abbas,Sepandi, Mojtaba,Akrami, Majid,Tabatabaee, Hamidreza,Rajaeefard, Abdolreza,Tahmasebi, Sedigheh,Talei, Abdolrasoul Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.19

Background: Around 200,000 breast disorders are annually diagnosed all over the world. Fibrocystic changes are the most common breast disorder and fibroadenoma is the most prevalent benign breast tumor. The present study aimed to determine the spectrum, type and prevalence of breast masses in women referred to Shiraz University of Medical Sciences between 2004 and 2012. Materials and Methods: A cross-sectional study was conducted on the diagnostic reports data. Results: A total of 640 samples were studied. Most 57.3% of masses were detected in the left breast, 65%, 28.2% and 6.1% of cases presenting with benign, malignant, and inflammatory lesions, respectively. Among all the samples the most prevalent diagnosis (37.7%) was fibroadenoma and fibrocystic lesions (17%). 174 samples (96% of the malignant cases) were invasive. 6.5% of the benign, and 37% of the malignant cases occurred in post menopause women and the differences were statistically significant. Among those with malignant tumors lymph nodes were involved in 25.6% of menopausal women and 44.2% of non-menopausal ones, and the difference was statistically significant. Conclusions: Regular clinical breast examination beside mammographic follow-ups, especially during menopause, should be carried out as a priority and a national organized program should be designed for screening breast disorders.

Assessment of Breast Cancer Risk in an Iranian Female Population Using Bayesian Networks with Varying Node Number

Rezaianzadeh, Abbas,Sepandi, Mojtaba,Rahimikazerooni, Salar Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.11

Objective: As a source of information, medical data can feature hidden relationships. However, the high volume of datasets and complexity of decision-making in medicine introduce difficulties for analysis and interpretation and processing steps may be needed before the data can be used by clinicians in their work. This study focused on the use of Bayesian models with different numbers of nodes to aid clinicians in breast cancer risk estimation. Methods: Bayesian networks (BNs) with a retrospectively collected dataset including mammographic details, risk factor exposure, and clinical findings was assessed for prediction of the probability of breast cancer in individual patients. Area under the receiver-operating characteristic curve (AUC), accuracy, sensitivity, specificity, and positive and negative predictive values were used to evaluate discriminative performance. Result: A network incorporating selected features performed better (AUC = 0.94) than that incorporating all the features (AUC = 0.93). The results revealed no significant difference among 3 models regarding performance indices at the 5% significance level. Conclusion: BNs could effectively discriminate malignant from benign abnormalities and accurately predict the risk of breast cancer in individuals. Moreover, the overall performance of the 9-node BN was better, and due to the lower number of nodes it might be more readily be applied in clinical settings.

Estimate of the Basic Reproduction Number for COVID-19: A Systematic Review and Meta-analysis

Yousef Alimohamadi,Maryam Taghdir,Mojtaba Sepandi 대한예방의학회 2020 Journal of Preventive Medicine and Public Health Vol.53 No.3

Objectives: The outbreak of coronavirus disease 2019 (COVID-19) is one of the main public health challenges currently facing the world. Because of its high transmissibility, COVID-19 has already caused extensive morbidity and mortality in many countries throughout the world. An accurate estimation of the basic reproduction number (R0) of COVID-19 would be beneficial for prevention programs. In light of discrepancies in original research on this issue, this systematic review and meta-analysis aimed to estimate the pooled R0 for COVID-19 in the current outbreak. Methods: International databases (including Google Scholar, Science Direct, PubMed, and Scopus) were searched to identify studies conducted regarding the R0 of COVID-19. Articles were searched using the following keywords: “COVID-19” and “basic reproduction number” or “R0.” The heterogeneity among studies was assessed using the I2 index, the Cochran Q test, and T2. A random-effects model was used to estimate R0 in this study. Results: The mean reported R0 in the identified articles was 3.38±1.40, with a range of 1.90 to 6.49. According to the results of the random-effects model, the pooled R0 for COVID-19 was estimated as 3.32 (95% confidence interval, 2.81 to 3.82). According to the results of the meta-regression analysis, the type of model used to estimate R0 did not have a significant effect on heterogeneity among studies (p=0.81). Conclusions: Considering the estimated R0 for COVID-19, reducing the number of contacts within the population is a necessary step to control the epidemic. The estimated overall R0 was higher than the World Health Organization estimate.

Educational Intervention Based on the Health Belief Model to Modify Risk Factors of Cardiovascular Disease in Police Officers in Iran: A Quasi-experimental Study

Mohsen Saffari,Hormoz Sanaeinasab,Hassan Jafarzadeh,Mojtaba Sepandi,Keisha-Gaye N. O’Garo,Harold G. Koenig,Amir H. Pakpour 대한예방의학회 2020 예방의학회지 Vol.53 No.4

Objectives: Police officers may be at a greater risk for cardiovascular disease (CVD) than the general population due to their high-stress occupation. This study evaluated how an educational program based on the health belief model (HBM) may protect police officers from developing CVD. Methods: In this single-group experimental study, 58 police officers in Iran participated in a 5-week intervention based on HBM principles. Outcomes included changes in scores on an HBM scale, time spent on moderate to vigorous physical activity (International Physical Activity Questionnaire), body mass index (BMI), blood lipid profile, blood glucose, and blood pressure. The intervention consisted of 5 HBM-based educational sessions. Follow-up was conducted at 3 months post-intervention. The paired t-test was used to examine differences between baseline and follow-up scores. Results: All aspects of the HBM scale improved between baseline and follow-up (p<0.05), except the cues to action subscale. Self-efficacy and preventive behaviors improved the most. BMI decreased from 26.7±2.9 kg/m2 at baseline to 25.8±2.4 kg/m2 at follow-up. All components of the lipid profile, including triglycerides, cholesterol, high-density lipoprotein, and low-density lipoprotein, showed significant improvements post-intervention. Blood glucose and blood pressure also decreased, but not significantly. Nearly 25% of participants who were not physically active at baseline increased their physical activity above or beyond the healthy threshold. Conclusions: A relatively brief educational intervention based on HBM principles led to a significant improvement in CVD risk factors among police officers. Further research is needed to corroborate the effectiveness of this intervention.

Relationships between Breast Cancer and Common Non-Communicable Disease Risk Factors: an Ecological Study

Abbastabar, Hedayat,Hamidifard, Parvin,Roustazadeh, Abazar,Mousavi, Seyyed Hamid,Mohseni, Shokrallah,Sepandi, Mojtaba,Barouni, Mohsen,Alizadeh, Ali Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.9

Background: Breast cancer is one the most common cause of cancer-related deaths among women worldwide. The aims of this study were to investigate the impact of dietary factors and health status indicators on breast cancer (BC) incidence. Materials and Methods: Risk factor data (RFD) of 89,404 individuals (15-64 years old) were gathered by questionnaire and laboratory examinations through a cross sectional study from the Non-Communicable Disease Surveillance Centre (NCDSC) of Iran. BC incidences of all provinces through 2001-2006 segregated by age and gender were obtained from the Cancer Registry Ministry of Health (CRMH). Results: a significant positive relationship was seen between diabetes mellitus, fish comsupmption, percent of academic education and non-consumption of fruit, and breast cancer in women. However, non fish consumption, percent age illiteracy and taking fruit showed a significant negative relationship with the incidence of breast cancer. In addition, multiple linear regression analysis showed associations among percentage with academic education, fruit consumption and diabetes. Conclusions: We conclude that dietary factors such as fish and furit consumption, dairy products, health status indicators, academic education, and some diseases like diabetes mellitus can affect the BC incidence, although the results of ecologic studies like this must naturally be interpreted with caution.