Literature DB >> 19947032

Socioeconomic indicators and hysterectomy status in the United States, 2004.

Elisabeth A Erekson1, Sherry Weitzen, Vivian W Sung, Christina A Raker, Deborah L Myers.   

Abstract

OBJECTIVE: To examine the association between socioeconomic indicators and hysterectomy. STUDY
DESIGN: We performed a cross-sectional analysis of the 2004 Behavioral Risk Factor Surveillance Survey database. The effect of multiple socioeconomic exposures (education level, annual income and employment status) on hysterectomy status was evaluated. Logistic regression was used to estimate ORs between the multiple exposures and the outcome of hysterectomy status.
RESULTS: Our analytic sample included 180,982 women. Prior hysterectomy was reported by 26.4%. After adjusting for confounders, women who had not graduated from high school had 1.75 times higher odds (95% CI 1.68-1.83) of having a hysterectomy as compared to women who were college graduates, and women with an annual household income of < $15,000 had 1.06 times higher odds (95% CI 1.02 to 1.10) of having a hysterectomy as compared to women who reported an income of > $50,000/year. Women who were unemployed did not have higher odds of having a hysterectomy than women who were employed.
CONCLUSION: Socioeconomic indicators of education level and income are associated with hysterectomy status; however, employment status is not.

Entities:  

Mesh:

Year:  2009        PMID: 19947032      PMCID: PMC2883776     

Source DB:  PubMed          Journal:  J Reprod Med        ISSN: 0024-7758            Impact factor:   0.142


  13 in total

1.  Quality of care for women undergoing a hysterectomy: effects of insurance and race/ethnicity.

Authors:  Rosemarie B Hakim; M Beth Benedict; Nancy J Merrick
Journal:  Am J Public Health       Date:  2004-08       Impact factor: 9.308

2.  Ethnic differences in past hysterectomy for benign conditions.

Authors:  Lynda H Powell; Peter Meyer; Gerson Weiss; Karen A Matthews; Nanette Santoro; John F Randolph; Miriam Schocken; Joan Skurnick; Marcia G Ory; Kim Sutton-Tyrrell
Journal:  Womens Health Issues       Date:  2005 Jul-Aug

3.  Hysterectomy rates for benign indications.

Authors:  Gavin F Jacobson; Ruth E Shaber; Mary Anne Armstrong; Yun-Yi Hung
Journal:  Obstet Gynecol       Date:  2006-06       Impact factor: 7.661

4.  Hysterectomy surveillance--United States, 1980-1993.

Authors:  L A Lepine; S D Hillis; P A Marchbanks; L M Koonin; B Morrow; B A Kieke; L S Wilcox
Journal:  MMWR CDC Surveill Summ       Date:  1997-08-08

5.  The socioeconomic correlates of hysterectomies in the United States.

Authors:  K Kjerulff; P Langenberg; G Guzinski
Journal:  Am J Public Health       Date:  1993-01       Impact factor: 9.308

6.  Hysterectomy rates in the United States 1990-1997.

Authors:  Cynthia M Farquhar; Claudia A Steiner
Journal:  Obstet Gynecol       Date:  2002-02       Impact factor: 7.661

7.  Use of alternative techniques of hysterectomy in Ohio, 1988-1994.

Authors:  A M Weber; J C Lee
Journal:  N Engl J Med       Date:  1996-08-15       Impact factor: 91.245

8.  Hysterectomy in Veterans Affairs Medical Centers.

Authors:  F Weaver; D Hynes; J M Goldberg; S Khuri; J Daley; W Henderson
Journal:  Obstet Gynecol       Date:  2001-06       Impact factor: 7.661

9.  Correlates of hysterectomy among African-American women.

Authors:  J R Palmer; R S Rao; L L Adams-Campbell; L Rosenberg
Journal:  Am J Epidemiol       Date:  1999-12-15       Impact factor: 4.897

10.  Hysterectomy rates in the United States, 2003.

Authors:  Jennifer M Wu; Mary Ellen Wechter; Elizabeth J Geller; Thao V Nguyen; Anthony G Visco
Journal:  Obstet Gynecol       Date:  2007-11       Impact factor: 7.661

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  9 in total

1.  The role of early-life socioeconomic status in breast cancer incidence and mortality: unraveling life course mechanisms.

Authors:  Tetyana Pudrovska; Benedicta Anikputa
Journal:  J Aging Health       Date:  2011-09-28

2.  Analysis of the Relationship between Socioeconomic Status and Incidence of Hysterectomy Using Data of the Korean Genome and Epidemiology Study (KoGES).

Authors:  Yung-Taek Ouh; Kyung-Jin Min; Sanghoon Lee; Jin-Hwa Hong; Jae Yun Song; Jae-Kwan Lee; Nak Woo Lee
Journal:  Healthcare (Basel)       Date:  2022-05-27

3.  Contemporary Geographic Variation and Sociodemographic Correlates of Hysterectomy Rates Among Reproductive-Age Women.

Authors:  Danielle R Gartner; Kemi M Doll; Robert A Hummer; Whitney R Robinson
Journal:  South Med J       Date:  2018-10       Impact factor: 0.954

Review 4.  Age at Menarche, Level of Education, Parity and the Risk of Hysterectomy: A Systematic Review and Meta-Analyses of Population-Based Observational Studies.

Authors:  Louise F Wilson; Gita D Mishra
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

5.  Predictors of hysterectomy among married women 15-49 years in India.

Authors:  Ranjan Kumar Prusty; Chetan Choithani; Shiv Dutt Gupta
Journal:  Reprod Health       Date:  2018-01-05       Impact factor: 3.223

6.  For U.S. Black women, shift of hysterectomy to outpatient settings may have lagged behind White women: a claims-based analysis, 2011-2013.

Authors:  Whitney R Robinson; Mariah M Cheng; Annie Green Howard; William R Carpenter; Wendy R Brewster; Kemi M Doll
Journal:  BMC Health Serv Res       Date:  2017-08-04       Impact factor: 2.655

7.  Using geographically weighted Poisson regression to examine the association between socioeconomic factors and hysterectomy incidence in Wallonia, Belgium.

Authors:  Aline Poliart; Fati Kirakoya-Samadoulougou; Mady Ouédraogo; Philippe Collart; Dominique Dubourg; Sékou Samadoulougou
Journal:  BMC Womens Health       Date:  2021-10-26       Impact factor: 2.809

8.  Change in medical practice over time? A register based study of regional trends in hysterectomy in Finland in 2001-2018.

Authors:  Tiina Vikstedt; Martti Arffman; Satu Heliövaara-Peippo; Kristiina Manderbacka; Eeva Reissell; Ilmo Keskimäki
Journal:  BMC Womens Health       Date:  2021-06-14       Impact factor: 2.809

9.  Incidence and determinants of hysterectomy in a low-income setting in Gujarat, India.

Authors:  Sapna Desai; Oona Mr Campbell; Tara Sinha; Ajay Mahal; Simon Cousens
Journal:  Health Policy Plan       Date:  2016-08-06       Impact factor: 3.344

  9 in total

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