Ovarian Cancer

Hankinson, Susan E.; DANFORTH, KIM N.

doi:10.1093/acprof:oso/9780195149616.003.0052

Cited by 33 publications

(39 citation statements)

References 174 publications

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“…Ovarian cancer is diagnosed often in advanced stages and survival rates are poor (2,3). Use of oral contraceptives, parity, tubal ligation, and hysterectomy have been associated with decreased risk, while use of hormone replacement therapy, a family history of ovarian cancer and infertility have been associated with increased risk of ovarian cancer (4)(5)(6).…”

Section: Introductionmentioning

confidence: 99%

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Height, Body Mass Index, and Ovarian Cancer: A Pooled Analysis of 12 Cohort Studies

Schouten

Rivera

Hunter

et al. 2008

Cancer Epidemiology, Biomarkers &Amp; Prevention

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135

105

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Background: Although many studies have investigated the association between anthropometry and ovarian cancer risk, results have been inconsistent. Methods: The associations of height, body mass index (BMI), and ovarian cancer risk were examined in a pooled analysis of primary data from 12 prospective cohort studies from North America and Europe. The study population consisted of 531,583 women among whom 2,036 epithelial ovarian cancer cases were identified. To summarize associations, study-specific relative risks (RR) were estimated using the Cox proportional hazards model and then combined using a random-effects model. Results: Women with height z1.70 m had a pooled multivariate RR of 1.38 [95% confidence interval (95% CI), 1.16-1.65] compared with those with height <1.60 m. For the same comparison, multivariate RRs were 1.79 (95% CI, 1.07-3.00) for premenopausal and

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Section: Introductionmentioning

confidence: 99%

“…Obesity might be a risk factor for ovarian cancer also, because several clinical conditions (e.g., polycystic ovarian syndrome and infertility) have been associated with both obesity and ovarian cancer (5,(25)(26)(27). In a recent review, it was concluded that obesity is associated with a modestly increased risk of ovarian cancer.…”

Section: Introductionmentioning

confidence: 99%

Height, Body Mass Index, and Ovarian Cancer: A Pooled Analysis of 12 Cohort Studies

Schouten

Rivera

Hunter

et al. 2008

Cancer Epidemiology, Biomarkers &Amp; Prevention

Self Cite

135

105

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“…Breast cancer is a notable example for which the opposite holds true; that is, higher SES is associated with higher breast cancer risk (1,2). Viewed simplistically, the higher breast cancer risk associated with higher SES may be relevant to ovarian cancer because both ovarian and breast cancer are hormonally linked cancers with risk associated with several reproductive characteristics, including earlier onset of menarche, later age at menopause, and decreased parity (2,3). Of course, this comparison becomes more complex when differences in risk factor profiles are considered; for example, alcohol drinking is a risk factor for breast cancer but not ovarian cancer (2,3).…”

mentioning

confidence: 99%

“…Viewed simplistically, the higher breast cancer risk associated with higher SES may be relevant to ovarian cancer because both ovarian and breast cancer are hormonally linked cancers with risk associated with several reproductive characteristics, including earlier onset of menarche, later age at menopause, and decreased parity (2,3). Of course, this comparison becomes more complex when differences in risk factor profiles are considered; for example, alcohol drinking is a risk factor for breast cancer but not ovarian cancer (2,3). Nevertheless, a common explanation for higher SES being a marker of higher breast cancer risk is that this reflects an indirect relationship, with higher SES linked with an adverse risk profile based on the tendency for many of the risk-related reproductive characteristics to be more heavily concentrated in women of higher SES (1,2).…”

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confidence: 99%

Socioeconomic Status in Relation to the Risk of Ovarian Cancer in African-American Women: A Population-Based Case-Control Study

et al. 2016

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We investigated the association between socioeconomic status and ovarian cancer in African-American women. We used a population-based case-control study design that included case patients with incident ovarian cancer (n = 513) and age-and area-matched control participants (n = 721) from 10 states who were recruited into the African American Cancer Epidemiology Study from December 2010 through December 2014. Questionnaires were administered via telephone, and study participants responded to questions about several characteristics, including years of education, family annual income, and risk factors for ovarian cancer. After adjustment for established ovarian cancer risk factors, women with a college degree or more education had an odds ratio of 0.71 (95% confidence interval (CI): 0.51, 0.99) when compared with those with a high school diploma or less (P for trend = 0.02); women with family annual incomes of $75,000 or more had an odds ratio of 0.74 (95% CI: 0.47, 1.16) when compared with those with incomes less than $10,000 (P for trend = 0.055). When these variables were dichotomized, compared with women with a high school diploma or less, women with more education had an adjusted odds ratio of 0.72 (95% CI: 0.55, 0.93), and compared with women with an income less than $25,000, women with higher incomes had an adjusted odds ratio of 0.86 (95% CI: 0.66, 1.12). These findings suggest that ovarian cancer risk may be inversely associated with socioeconomic status among African-American women and highlight the need for additional evidence to more thoroughly characterize the association between socioeconomic status and ovarian cancer.

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“…Their results suggest that a positive associated exists between them. See also the studies of Pope and Dockery (2006), Ghosh et al, (2013), Hamra et al, (2014), Hankinson &Danforth (2006), andRisbridger et al, (2010).…”

Section: Introductionmentioning

confidence: 99%

On the Conditional Effect of Particulate Matter on Cancer Mortality in OECD Countries

Anani¹

2017

Int.J.Curr.Res.Aca.Rev.

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Article InfoGiven the adverse effects of air pollution on human health, a lot of studies have empirically investigated the causal effect of air pollution on health. However, no study has considered how fine particulate matter interacts with GDP per capita to affect cancer mortality. This study therefore uses data for 20 OECD countries to estimate the conditional effect of air pollution on cancer mortality. To this end, a fixed effect panel regression model which takes both country and time fixed effects into consideration is estimated. The conditional causal effect of fine particulate matter was found to be negative 0.22 and significant at 1% level.

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Ovarian Cancer

Cited by 33 publications

References 174 publications

Height, Body Mass Index, and Ovarian Cancer: A Pooled Analysis of 12 Cohort Studies

Height, Body Mass Index, and Ovarian Cancer: A Pooled Analysis of 12 Cohort Studies

Socioeconomic Status in Relation to the Risk of Ovarian Cancer in African-American Women: A Population-Based Case-Control Study

On the Conditional Effect of Particulate Matter on Cancer Mortality in OECD Countries

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