Literature DB >> 8417592

The socioeconomic correlates of hysterectomies in the United States.

K Kjerulff1, P Langenberg, G Guzinski.   

Abstract

The purpose of this study was to examine the relationship between incidence of prior hysterectomy and education, income, and race. Data concerning previous hysterectomy and socioeconomic information were collected from 12,465 women 18 years or older as part of the Behavioral Risk Factor Surveillance System conducted in 16 states in 1988. The results indicate that women with less education and lower incomes were more likely to have had a hysterectomy. Race was not related to hysterectomy rate.

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Year:  1993        PMID: 8417592      PMCID: PMC1694507          DOI: 10.2105/ajph.83.1.106

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  6 in total

1.  Behavioral Risk Factor Surveillance, 1988.

Authors:  R F Anda; M N Waller; K G Wooten; E E Mast; L G Escobedo; L M Sanderson
Journal:  MMWR CDC Surveill Summ       Date:  1990-06

2.  Hysterectomy: past, present and future.

Authors:  R Pokras
Journal:  Stat Bull Metrop Insur Co       Date:  1989 Oct-Dec

3.  A survey of Pap smear screening in upstate New York.

Authors:  H L Howe; H Bzduch
Journal:  N Y State J Med       Date:  1986-06

4.  Hysterectomy in the United States, 1965-84.

Authors:  R Pokras; V G Hufnagel
Journal:  Am J Public Health       Date:  1988-07       Impact factor: 9.308

5.  Inner-city women at risk for cervical cancer: behavioral and utilization factors related to inadequate screening.

Authors:  J A Mamon; M C Shediac; C B Crosby; B Sanders; G M Matanoski; D D Celentano
Journal:  Prev Med       Date:  1990-07       Impact factor: 4.018

Review 6.  Do British women undergo too many or too few hysterectomies?

Authors:  A Coulter; K McPherson; M Vessey
Journal:  Soc Sci Med       Date:  1988       Impact factor: 4.634

  6 in total
  40 in total

1.  Socioeconomic variation in hysterectomy up to age 52: national, population based, prospective cohort study.

Authors:  S F Marshall; R J Hardy; D Kuh
Journal:  BMJ       Date:  2000-06-10

2.  Hysterectomy and socioeconomic position in Rome, Italy.

Authors:  E Materia; L Rossi; T Spadea; L Cacciani; G Baglio; G Cesaroni; M Arcà; C A Perucci
Journal:  J Epidemiol Community Health       Date:  2002-06       Impact factor: 3.710

3.  Biosocial determinants of hysterectomy in New Zealand.

Authors:  A Dharmalingam; I Pool; J Dickson
Journal:  Am J Public Health       Date:  2000-09       Impact factor: 9.308

4.  Socioeconomic variations in hysterectomy: evidence from a linkage study of the Finnish hospital discharge register and population census.

Authors:  R Luoto; I Keskimäki; A Reunanen
Journal:  J Epidemiol Community Health       Date:  1997-02       Impact factor: 3.710

5.  Hysterectomy prevalence by Hispanic ethnicity: evidence from a national survey.

Authors:  Kate M Brett; Jenny A Higgins
Journal:  Am J Public Health       Date:  2003-02       Impact factor: 9.308

6.  Study of Environment Lifestyle and Fibroids (SELF): Advancing the Field of Fibroid Epidemiology.

Authors:  Lauren A Wise
Journal:  J Womens Health (Larchmt)       Date:  2015-09-29       Impact factor: 2.681

7.  Hysterectomy and disability among U.S. women.

Authors:  Julia A Rivera Drew
Journal:  Perspect Sex Reprod Health       Date:  2013-08-02

8.  Socioeconomic differences in hysterectomy: the Wisconsin Longitudinal Study.

Authors:  N F Marks; D S Shinberg
Journal:  Am J Public Health       Date:  1997-09       Impact factor: 9.308

9.  A prospective study of dairy intake and risk of uterine leiomyomata.

Authors:  Lauren A Wise; Rose G Radin; Julie R Palmer; Shiriki K Kumanyika; Lynn Rosenberg
Journal:  Am J Epidemiol       Date:  2009-12-02       Impact factor: 4.897

10.  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

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