Haejin In1, Marisa Langdon-Embry2, Lauren Gordon2, Clyde B Schechter3, Judith Wylie-Rosett4, Philip E Castle4, M Margaret Kemeny5, Bruce D Rapkin4. 1. Montefiore Medical Center/Albert Einstein College of Medicine, Department of Surgery, Bronx, New York; Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, New York. Electronic address: hin@montefiore.org. 2. Montefiore Medical Center/Albert Einstein College of Medicine, Department of Surgery, Bronx, New York. 3. Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, New York; Albert Einstein College of Medicine, Department of Family and Social Medicine, Bronx, New York. 4. Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Bronx, New York. 5. Queens Hospital Center, Queens, New York.
Abstract
BACKGROUND: A questionnaire that distinguishes how variability in gastric cancer prevalence is associated with ethnicity/birth country/immigration/cultural diet along with known risk factors may improve targeting populations for gastric cancer screening in the United States. METHODS: Existing literature was used to identify the item pool. Cluster analysis, focus groups, and cognitive interviewing were used to reduce collinear items and refine the questionnaire. Logistic regression analysis was used to determine which items distinguished gastric cancer cases from the primary care and community controls. RESULTS: The results of analysis of data from 40 cases and 100 controls (primary care = 47; community = 53) were used to reduce the 227 item pool to 12 items. After ranking these variables using model bootstrapping, a logistic regression model using the highest ranked eight variables was chosen as the final model. Older age, foreign nativity, daily consumption of cultural food at ages 15-18, less than high-school education, and greater acculturation were significantly associated with being a gastric cancer case compared with the controls. CONCLUSIONS: An eight-item survey that addresses gastric cancer risk factors, ethnicity, cultural habits, and immigration patterns has potential to identify high-risk persons from multicultural areas within the US, who might benefit from endoscopic screening for gastric cancer.
BACKGROUND: A questionnaire that distinguishes how variability in gastric cancer prevalence is associated with ethnicity/birth country/immigration/cultural diet along with known risk factors may improve targeting populations for gastric cancer screening in the United States. METHODS: Existing literature was used to identify the item pool. Cluster analysis, focus groups, and cognitive interviewing were used to reduce collinear items and refine the questionnaire. Logistic regression analysis was used to determine which items distinguished gastric cancer cases from the primary care and community controls. RESULTS: The results of analysis of data from 40 cases and 100 controls (primary care = 47; community = 53) were used to reduce the 227 item pool to 12 items. After ranking these variables using model bootstrapping, a logistic regression model using the highest ranked eight variables was chosen as the final model. Older age, foreign nativity, daily consumption of cultural food at ages 15-18, less than high-school education, and greater acculturation were significantly associated with being a gastric cancer case compared with the controls. CONCLUSIONS: An eight-item survey that addresses gastric cancer risk factors, ethnicity, cultural habits, and immigration patterns has potential to identify high-risk persons from multicultural areas within the US, who might benefit from endoscopic screening for gastric cancer.
Authors: P K Dhillon; D C Farrow; T L Vaughan; W H Chow; H A Risch; M D Gammon; S T Mayne; J L Stanford; J B Schoenberg; H Ahsan; R Dubrow; A B West; H Rotterdam; W J Blot; J F Fraumeni Journal: Int J Cancer Date: 2001-07-01 Impact factor: 7.396
Authors: I Tramacere; E Negri; C Pelucchi; V Bagnardi; M Rota; L Scotti; F Islami; G Corrao; C La Vecchia; P Boffetta Journal: Ann Oncol Date: 2011-05-02 Impact factor: 32.976
Authors: Haejin In; Ian Solsky; Philip E Castle; Clyde B Schechter; Michael Parides; Patricia Friedmann; Judith Wylie-Rosett; M Margaret Kemeny; Bruce D Rapkin Journal: Cancer Prev Res (Phila) Date: 2020-05-14