Literature DB >> 26408405

The impact of level of education on adherence to breast and cervical cancer screening: Evidence from a systematic review and meta-analysis.

Gianfranco Damiani1, Danila Basso2, Anna Acampora2, Caterina B N A Bianchi3, Giulia Silvestrini2, Emanuela M Frisicale2, Franco Sassi4, Walter Ricciardi2.   

Abstract

OBJECTIVE: To assess the inequalities in adherence to breast and cervical cancer screening according to educational level.
METHODS: A systematic review was carried out between 2000 and 2013 by querying an electronic database using specific keywords. Studies published in English reporting an estimation of the association between level of education and adherence to breast and/or cervical cancer screening were included in the study. Two different meta-analyses were carried out for adherence to breast and cervical cancer screening, respectively: women with the highest level of education and women with the lowest level of education were compared. The level of heterogeneity was investigated and subgroup analyses were carried out.
RESULTS: Of 1231 identified articles, 10 cross-sectional studies were included in the analysis. The meta-analyses showed that women with the highest level of education were more likely to have both screenings with an overall OR=1.61 (95% CI 1.36-1.91; I(2)=71%) for mammography and OR=1.96 (95% CI 1.79-2.16; I(2)=0%) for Pap test, respectively. Stratified meta-analysis for breast cancer screening included only studies that reported guidelines with target age of population ≥50 years and showed a reduction in the level of heterogeneity and an increase of 36% in the adherence (95% CI 1.19-1.55; I(2)=0%).
CONCLUSIONS: This study confirms and reinforces evidence of inequalities in breast and cervical cancer screening adherence according to educational level.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; Cancer prevention; Cervical cancer; Education; Mammography; Pap test; Screening

Mesh:

Year:  2015        PMID: 26408405     DOI: 10.1016/j.ypmed.2015.09.011

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  36 in total

1.  Women's views about breast cancer prevention at mammography screening units and well women's clinics.

Authors:  A Rundle; S Iles; K Matheson; L E Cahill; C C Forbes; N Saint-Jacques; R Urquhart; T Younis
Journal:  Curr Oncol       Date:  2020-06-01       Impact factor: 3.677

2.  Reactions of women underscreened for cervical cancer who received unsolicited human papillomavirus self-sampling kits.

Authors:  Colin Malone; Jasmin A Tiro; Diana Sm Buist; Tara Beatty; John Lin; Kilian Kimbel; Hongyuan Gao; Chris Thayer; Diana L Miglioretti; Rachel L Winer
Journal:  J Med Screen       Date:  2019-11-20       Impact factor: 2.136

3.  Predictors of Cervical Cancer Screening Among Infrequently Screened Women Completing Human Papillomavirus Self-Collection: My Body My Test-1.

Authors:  Cary Suzanne Lea; Carolina Perez-Heydrich; Andrea C Des Marais; Alice R Richman; Lynn Barclay; Noel T Brewer; Jennifer S Smith
Journal:  J Womens Health (Larchmt)       Date:  2019-03-15       Impact factor: 2.681

4.  Level of Awareness Regarding Cervical Cancer Among Female Syrian Refugees in Greece.

Authors:  Vasiliki Dalla; Eirini-Kanella Panagiotopoulou; Anna Deltsidou; Maria Kalogeropoulou; Petros Kostagiolas; Dimitris Niakas; Georgios Labiris
Journal:  J Cancer Educ       Date:  2020-09-22       Impact factor: 1.771

5.  Identify factors for insufficient (> 2 yr) mammogram screening among Oregonian women.

Authors:  Zhenzhen Zhang; Grace Curran; Kenneth Xu; Jeong Youn Lim; Paige E Farris; Jackilen Shannon
Journal:  Cancer Causes Control       Date:  2022-01-07       Impact factor: 2.532

6.  Deaf Women's Health: Adherence to Breast and Cervical Cancer Screening Recommendations.

Authors:  Poorna Kushalnagar; Alina Engelman; Abbi N Simons
Journal:  Am J Prev Med       Date:  2019-08-01       Impact factor: 5.043

7.  Mammography use in relation to comorbidities and functional limitations among older breast cancer survivors.

Authors:  Dongyu Zhang; Shailesh Advani; Zhikai Zhu; Le Dang; Louise C Walter; Dejana Braithwaite
Journal:  J Cancer Surviv       Date:  2020-07-28       Impact factor: 4.442

8.  Education Level Is a Strong Prognosticator in the Subgroup Aged More Than 50 Years Regardless of the Molecular Subtype of Breast Cancer: A Study Based on the Nationwide Korean Breast Cancer Registry Database.

Authors:  Ki-Tae Hwang; Woochul Noh; Se-Heon Cho; Jonghan Yu; Min Ho Park; Joon Jeong; Hyouk Jin Lee; Jongjin Kim; Sohee Oh; Young A Kim
Journal:  Cancer Res Treat       Date:  2017-02-02       Impact factor: 4.679

9.  Macro-contextual determinants of cancer screening participation and inequalities: A multilevel analysis of 29 European countries.

Authors:  Vladimir Jolidon; Piet Bracke; Claudine Burton-Jeangros
Journal:  SSM Popul Health       Date:  2021-05-28

10.  Evaluation of overall survival and barriers to surgery for patients with breast cancer treated without surgery: a National Cancer Database analysis.

Authors:  D Boyce-Fappiano; I Bedrosian; Y Shen; H Lin; O Gjyshi; A Yoder; S F Shaitelman; W A Woodward
Journal:  NPJ Breast Cancer       Date:  2021-07-05
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