Literature DB >> 20171532

Breast and cervical cancer screening specific effects of depression and obesity.

Evette J Ludman1, Laura E Ichikawa, Gregory E Simon, Paul Rohde, David Arterburn, Belinda H Operskalski, Jennifer A Linde, Robert W Jeffery.   

Abstract

BACKGROUND: Obesity and depression may each be associated with lower rates of cervical and breast cancer screening. Studies have examined obesity or depression alone, but not together, despite the established link between them.
PURPOSE: This article aims to disentangle the effects of depression and obesity on receipt of breast and cervical cancer screening.
METHODS: A stratified sampling design was used to recruit women aged 40-65 years with information on BMI from an integrated health plan in Washington State in 2003-2005. A telephone survey included the Patient Health Questionnaire-9 for depression, weight, and height. Automated data assessed Paps for 3097 women over a 3-year period and screening mammograms over a 2-year period for 2163 women aged > or =51 years. Logistic regression models (conducted in 2008) examined the association between obesity and depression and receipt of screening tests.
RESULTS: In univariate logistic regression models, women were less likely to receive a Pap if they were obese (OR=0.53, 95% CI=0.41, 0.69) or depressed (OR=0.60, 95% CI=0.42, 0.87). Further, women were less likely to receive a screening mammogram if they were depressed (OR=0.45, 95% CI=0.30, 0.67). In multivariable models, only obesity remained significantly associated with a lower likelihood of Pap screening (OR=0.67, 95% CI=0.0.49, 0.93), and only depression remained significantly associated with lower rates of screening mammography (OR=0.49, 95% CI=0.31, 0.76). Obesity and depression did not interact significantly in either model.
CONCLUSIONS: Obesity and depression appear to have specific effects on receipt of different cancer-screening tests. Copyright (c) 2010 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20171532      PMCID: PMC2835516          DOI: 10.1016/j.amepre.2009.10.039

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  35 in total

1.  The PHQ-9: validity of a brief depression severity measure.

Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

Review 2.  Bias, discrimination, and obesity.

Authors:  R Puhl; K D Brownell
Journal:  Obes Res       Date:  2001-12

3.  Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire.

Authors:  R L Spitzer; K Kroenke; J B Williams
Journal:  JAMA       Date:  1999-11-10       Impact factor: 56.272

4.  Relationship of depression and diabetes self-care, medication adherence, and preventive care.

Authors:  Elizabeth H B Lin; Wayne Katon; Michael Von Korff; Carolyn Rutter; Greg E Simon; Malia Oliver; Paul Ciechanowski; Evette J Ludman; Terry Bush; Bessie Young
Journal:  Diabetes Care       Date:  2004-09       Impact factor: 19.112

5.  Depressive symptom burden as a barrier to screening for breast and cervical cancers.

Authors:  Paul A Pirraglia; Pallabi Sanyal; Daniel E Singer; Timothy G Ferris
Journal:  J Womens Health (Larchmt)       Date:  2004 Jul-Aug       Impact factor: 2.681

6.  Breast cancer screening: a summary of the evidence for the U.S. Preventive Services Task Force.

Authors:  Linda L Humphrey; Mark Helfand; Benjamin K S Chan; Steven H Woolf
Journal:  Ann Intern Med       Date:  2002-09-03       Impact factor: 25.391

7.  Prevalence and trends of receipt of cancer screenings among US women with diagnosed diabetes.

Authors:  Guixiang Zhao; Earl S Ford; Indu B Ahluwalia; Chaoyang Li; Ali H Mokdad
Journal:  J Gen Intern Med       Date:  2008-12-17       Impact factor: 5.128

8.  Relationship between body mass index and the use of healthcare services in Australia.

Authors:  Daniel D Reidpath; David Crawford; Linda Tilgner; Carl Gibbons
Journal:  Obes Res       Date:  2002-06

9.  Risk adjustment using automated ambulatory pharmacy data: the RxRisk model.

Authors:  Paul A Fishman; Michael J Goodman; Mark C Hornbrook; Richard T Meenan; Donald J Bachman; Maureen C O'Keeffe Rosetti
Journal:  Med Care       Date:  2003-01       Impact factor: 2.983

Review 10.  Colorectal cancer screening: scientific review.

Authors:  Judith M E Walsh; Jonathan P Terdiman
Journal:  JAMA       Date:  2003-03-12       Impact factor: 56.272

View more
  22 in total

1.  Increased mortality risk among the visually impaired: the roles of mental well-being and preventive care practices.

Authors:  D Diane Zheng; Sharon L Christ; Byron L Lam; Kristopher L Arheart; Anat Galor; David J Lee
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-05-14       Impact factor: 4.799

2.  Cancer fatalism and poor self-rated health mediate the association between socioeconomic status and uptake of colorectal cancer screening in England.

Authors:  Anne Miles; Sandra Rainbow; Christian von Wagner
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-09-27       Impact factor: 4.254

3.  THE RELATIONSHIPS AMONG VIGILANT COPING STYLE, RACE, AND DEPRESSION.

Authors:  Thomas A LaVeist; Roland J Thorpe; Geraldine Pierre; GiShawn A Mance; David R Williams
Journal:  J Soc Issues       Date:  2014-06-01

4.  Receipt of cervical cancer screening in female veterans: impact of posttraumatic stress disorder and depression.

Authors:  Julie C Weitlauf; Surai Jones; Xiangyan Xu; John W Finney; Rudolf H Moos; George F Sawaya; Susan M Frayne
Journal:  Womens Health Issues       Date:  2013 May-Jun

5.  Impact of depression on the intensity of patient navigation for women with abnormal cancer screenings.

Authors:  Ignacio I De La Cruz; Karen M Freund; Tracy A Battaglia; Clara A Chen; Sharon Bak; Richard Kalish; Barbara Lottero; Patrick Egan; Tim Heeren; Andrea C Kronman
Journal:  J Health Care Poor Underserved       Date:  2014-02

6.  Socio-demographic Moderators of Associations Between Psychological Factors and Latinas' Breast Cancer Screening Behaviors.

Authors:  L G Perez; J P Elder; J Haughton; M E Martinez; E M Arredondo
Journal:  J Immigr Minor Health       Date:  2018-08

7.  Are obese women more likely to participate in a mobile mammography program?

Authors:  Elvonna Atkins; Suresh Madhavan; Traci LeMasters; Ami Vyas; Sara Jane Gainor; Scot Remick
Journal:  J Community Health       Date:  2013-04

8.  Individual, provider, and system risk factors for breast and cervical cancer screening among underserved Black, Latina, and Arab women.

Authors:  Leeanne Roman; Cristian Meghea; Sabrina Ford; Louis Penner; Hiam Hamade; Tamika Estes; Karen Patricia Williams
Journal:  J Womens Health (Larchmt)       Date:  2013-11-27       Impact factor: 2.681

9.  Breast cancer screening in an insured population: whom are we missing?

Authors:  Karin L Kempe; Rebecca Sam Larson; Susan Shetterley; Andra Wilkinson
Journal:  Perm J       Date:  2013

10.  The association of type and number of chronic diseases with breast, cervical, and colorectal cancer screening.

Authors:  Betty Y Liu; Jean O'Malley; Motomi Mori; Lyle J Fagnan; David Lieberman; Cynthia D Morris; David I Buckley; John D Heintzman; Patricia A Carney
Journal:  J Am Board Fam Med       Date:  2014 Sep-Oct       Impact factor: 2.657

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.