Literature DB >> 30980640

Impact of Age at Menarche on Breast Cancer: The Assessment of Recall Bias.

Rahmatollah Moradzadeh1, Mohammad Ali Mansournia2, Reza Ghiasvand3, Taban Baghfalaki4, Haidar Nadrian5, Kourosh Holakouie-Naieni2.   

Abstract

BACKGROUND: Our aim was to determine the association between age at menarche (AAM) and breast cancer adjusted for recall bias (misclassification) in AAM.
METHODS: We have used data provided from a case-control study conducted in Iran from 2005 to 2009. The cases and controls were frequency matched based on 5-year age groups and region of residence. First, logistic regression was conducted to estimate the odds ratio (OR) and second, Bayesian analysis was applied to estimate the ORs adjusted for misclassification.
RESULTS: The study was conducted on 880 cases and 998 controls. In the assumption of no correction for recall bias on self-reported AAM, the OR was 1.36 (95% Credible Interval (0.98, 1.90). Based on a sensitivity value = 71% and a specificity value = 81% (the indices about the ratio of true recall of AAM) for the case and control groups (as the first scenario), the AAM ≤ 12 years of age was associated with a lower OR for breast cancer by 1.23 (95% Credible Interval: 0.50, 3.13). In the other scenario, with consideration of 100% sensitivity and specificity of self- reported AAM in the case group, and 71% and 81% sensitivity and specificity of the item in the control group, the related OR between breast cancer and AAM was found increased to 2.96 (95% Credible Interval: 0.75, 7.66).
CONCLUSION: After adjustment for misclassification related to recall bias, this study provides evidence that the self-reported mode of AAM has a moderate impact on calculation of the OR.
© 2019 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Entities:  

Keywords:  Bias; Breast cancer; Menarche; Misclassification

Mesh:

Year:  2019        PMID: 30980640

Source DB:  PubMed          Journal:  Arch Iran Med        ISSN: 1029-2977            Impact factor:   1.354


  5 in total

1.  Designing a community participation management model to control the epidemic of heart coronary artery diseases for Tehran province.

Authors:  Vida Sadeghzadeh; Katayoun Jahangiri; Mahmood Mahmoodi Majdabadi Farahani; Mahmonir Mohammadi
Journal:  J Res Med Sci       Date:  2019-11-27       Impact factor: 1.852

2.  The real-time reproduction number, impact of interventions and prediction of the epidemic size of COVID-19 in the center of Iran.

Authors:  Rahmatollah Moradzadeh; Mohammad Jamalian; Javad Nazari; Zahra Hosseinkhani; Maryam Zamanian
Journal:  J Res Med Sci       Date:  2021-09-30       Impact factor: 1.852

3.  Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method.

Authors:  Reza Pakzad; Saharnaz Nedjat; Mehdi Yaseri; Hamid Salehiniya; Nasrin Mansournia; Maryam Nazemipour; Mohammad Ali Mansournia
Journal:  Clin Epidemiol       Date:  2020-05-28       Impact factor: 4.790

4.  Trend of gastric cancer in a province in Western Iran: A population-based study during 2001-2014.

Authors:  Rahmatollah Moradzadeh; Haidar Nadrian; Athareh Najafi
Journal:  J Res Med Sci       Date:  2020-02-20       Impact factor: 1.852

5.  Age-standardized mortality rate and predictors of mortality among COVID-19 patients in Iran.

Authors:  Rahmatollah Moradzadeh; Seyed Mohammad Jamalian; Javad Nazari; Alireza Kamali; Bahman Sadeghi; Zahra Hosseinkhani; Masoomeh Sofian; Maryam Zamanian
Journal:  J Educ Health Promot       Date:  2021-05-31
  5 in total

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