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- 저자 : Molavi-Vardanjani, Hossein (검색결과 5 건)
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Vardanjani, Hossein Molavi,Heidari, Mohammad,Hadipour, Maryam Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.7
Background: Around half of input data in the global burden of disease cancer collaboration (GBD-CC) and GLOBOCAN projects come from low quality sources, mainly from developing countries. This may lead to loss of precision in estimates. Our question was: Are the absolute values and trends of the GBD-CC and GLOBOCAN estimates for lung cancer (LC) in Iran consistent with available statistics?. Materials and Methods: Incidence and mortality statistics were extracted from national reports (N.IRs & N.MRs) and GBD-CC (GBD-incidence & mortality) and GLOBOCAN databases for 1990-2013 where available. Trends were analyzed and absolute values and annual percentage changes (APCs) were estimated and compared. Incompleteness of case ascertainment at the Iranian national cancer registry and Iranian national civil registration was assessed for better understanding. Results: Trends of N.IRs were significantly rising for males (APC: 19.4; 95% CI: 12.5-26.7) and females (23.2; 16.0-30.8). Trends of GBD-incidence were stable for males (-0.2; -1.5-1.1) and females (-1.0; -2.3-0.4). Absolute N.IRs were less than GBD-incidence steadily except for 2009. Trend of N.MRs was increasing up to 2004, but stable thereafter. Trends of GBD-mortality were also stable. Absolute N.MRs were less than GBD-mortality for years up to 2003 and more than GBD-mortality since 2005. The estimates of GLOBOCAN were more than N.IRs and N.MRs. Conclusions: The GBD-CC and GLOBOCAN values for LC in Iran are underestimates. Generation of data quality indices to present along with country specific estimates is highly recommended.
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Vardanjani, Hossein Molavi,Baneshi, Mohammad Reza,Haghdoost, AliAkbar Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.13
Due to the lack of nationwide population-based cancer registration, the total cancer prevalence in Iran is unknown. Our previous work in which we used a basic network scale-up (NSU) method, failed to provide plausible estimates of total cancer prevalence in Kerman. The aim of the present study was to estimate total and partial prevalence of cancer in southeastern Iran using an adapted version of the generalized network scale-up method. A survey was conducted in 2014 using multi-stage cluster sampling. A total of 1995 face-to-face gender-matched interviews were performed based on an adapted version of the NSU questionnaire. Interviewees were asked about their family cancer history. Total and partial prevalence were estimated using a generalized NSU estimator. The Monte Carlo method was adopted for the estimation of upper/lower bounds of the uncertainty range of point estimates. One-yr, 2-3 yr, and 4-5 yr prevalence (per 100,000 people) was respectively estimated at 78 (95%CI, 66, 90), 128 (95%CI, 118, 147), and 59 (95%CI, 49, 70) for women, and 48 (95%CI, 38, 58), 78 (95%CI, 66, 91), and 42 (95%CI, 32, 52) for men. The 5-yr prevalence of all cancers was estimated at 0.18 percent for men, and 0.27 percent for women. This study showed that the generalized familial network scale-up method is capable of estimating cancer prevalence, with acceptable precision.
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Hossein Molavi Vardanjani,Seyed Taghi Heydari,Behzad Dowran,Mehdi Pasalar 한국한의학연구원 2020 Integrative Medicine Research Vol.9 No.3
Background: Traditional medicine structures such as Persian medicine (PM) are deeply rooted in the global health system. These modalities, if applied correctly, could help health systems overcome situations such as the coronavirus disease 2019 (COVID-19) pandemic. However, the mismanagement of such traditional structures results in fear, stress, anxiety, and risky behavior among society. The current study aimed to assess the penetration of the recommendations and rumors related to PM during the COVID-19 pandemic and the relationships of these recommendations and rumors with related health factors. Methods: In a cross-sectional study performed in March 2020 (during the COVID-19 pandemic) in southern Iran, eligible participants were randomly selected. The participants completed a 29-item online questionnaire assessing different aspects of the rumors and recommendations pertaining to PM linked with the COVID-19 pandemic. Results: In total, 523 participants took part in the survey. The mean fear score was 65.2/100. Approximately 99% of the study population had heard at least one of the rumors/recommendations of PM related to COVID-19. The average scores of disagreement with the rumors and recommendations linked to PM were 16.4/50 and 18.4/35, respectively. The fear score and the level of disagreement with the rumors were significantly related (p = 0.024). Conclusions: The use of PM might be beneficial in the management of the COVID-19 pandemic provided that a revolution occurs in data sharing. Various approaches should be considered in the management of traditional medicine modalities such as PM during disease outbreaks to help overcome the current dilemma.
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Haghdoost, Ali Akbar,Baneshi, Mohammad Reza,Haji-Maghsoodi, Saeedeh,Molavi-Vardanjani, Hossein,Mohebbi, Elham Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.8
Network scale up (NSU) is a novel approach to estimate parameters in hard to reach populations through asking people the number of individuals they know in their active social network. Although the method have been used in hidden populations, advantages of NSU indicate that exploration of applicability to disease like cancer might be feasible. The aim of this study was to assess the application of NSU to estimate the size of the population of breast, ovarian/cervical, prostate, and bladder cancers in the South-east of Iran. A total of 3,052 (99% response rate) Kermanian people were interviewed in 2012-2013. Based on NSU, participants were asked about if they know any people on their social network who suffered from breast, ovarian/cervical, prostate, and bladder cancers, if yes, they should enumerate them. A total of 1,650 persons living with four types of cancers (breast, ovary/cervix, prostate, and bladder) were identified by the respondents. Totally, the prevalence of people living with the four types of cancers was 228.4 per 100,000 Kermanian inhabitants. The most prevalent cancer was breast cancer, at 168.9 per 100,000, followed by prostate cancer with 116.9, ovarian/cervical cancer with 99.8, and bladder cancer with 36.3 per 100000 Kerman city population. NSU values provide a usable but not very precise way of estimating the size of subpopulations in the context of the four major cancers (breast, ovary/cervix, prostate, and bladder).
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