Nutrition and age at first birth in breast-cancer risk

Pawlega, J; Wallace, Robert

doi:10.1038/bjc.1980.172

Cited by 7 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, for Yazd city that was in 90th percentile of incidence rate of breast cancer, with increasing one percent in urbanization, the incidence rate increased 0.13. This result is similar to those of the studies of Doll et al and Nasca et al and (Haenszel et al, 1956;Nasca et al, 1980;Pawlega and Wallace, 1980;Mahoney et al, 1990;Doll, 1991;Robert et al, 2004), in their studies the cancer incidence had an increasing trend with increasing the urbanization. With urbanization the central factor of breast cancer (e.g.…”

Section: Discussionsupporting

confidence: 91%

“…Only a handful of studies have addressed urban/rural variation in breast cancer incidence and mortality. And also there are studies that reported a statistically significant and excess of breast cancer in urban compared to rural areas (Haenszel et al, 1956;NASCA et al, 1980;Pawlega and Wallace, 1980;Mahoney et al, 1990;Doll, 1991;Howe et al, 1993;Valerianova et al, 1994;Vassallo et al, 1994;Robert et al, 2004).With least square model the relationship between covariates and the mean of the response can be estimated. However, this model cannot be applied to evaluate the effects of covariates on other aspects of the response distribution, such as the quartiles.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Relationship between Urbanization and Cancer Incidence in Iran Using Quantile Regression

Momenyan

Sadeghifar²,

Sarvi³

et al. 2016

Asian Pacific Journal of Cancer Prevention

View full text Add to dashboard Cite

Quantile regression is an efficient method for predicting and estimating the relationship between explanatory variables and percentile points of the response distribution, particularly for extreme percentiles of the distribution. To study the relationship between urbanization and cancer morbidity, we here applied quantile regression. This cross-sectional study was conducted for 9 cancers in 345 cities in 2007 in Iran. Data were obtained from the Ministry of Health and Medical Education and the relationship between urbanization and cancer morbidity was investigated using quantile regression and least square regression. Fitting models were compared using AIC criteria. R (3.0.1) software and the Quantreg package were used for statistical analysis. With the quantile regression model all percentiles for breast, colorectal, prostate, lung and pancreas cancers demonstrated increasing incidence rate with urbanization. The maximum increase for breast cancer was in the 90th percentile (β=0.13, p-value<0.001), for colorectal cancer was in the 75th percentile (β=0.048 ,p-value<0.001), for prostate cancer the 95th percentile (β=0.55, p-value<0.001), for lung cancer was in 95th percentile (β=0.52, p-value=0.006), for pancreas cancer was in 10th percentile (β=0.011, p-value<0.001). For gastric, esophageal and skin cancers, with increasing urbanization, the incidence rate was decreased. The maximum decrease for gastric cancer was in the 90th percentile(β=0.003, p-value<0.001), for esophageal cancer the 95th (β=0.04, p-value=0.4) and for skin cancer also the 95th (β=0.145, p-value=0.071). The AIC showed that for upper percentiles, the fitting of quantile regression was better than least square regression. According to the results of this study, the significant impact of urbanization on cancer morbidity requirs more effort and planning by policymakers and administrators in order to reduce risk factors such as pollution in urban areas and ensure proper nutrition recommendations are made.

show abstract

Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Relationship between Urbanization and Cancer Incidence in Iran Using Quantile Regression

Momenyan

Sadeghifar²,

Sarvi³

et al. 2016

Asian Pacific Journal of Cancer Prevention

View full text Add to dashboard Cite

show abstract

“…Only a handful of studies have addressed urban/rural variation in breast cancer incidence and mortality. In general, these studies suggest a statistically significant but moderate excess of breast cancer in urban compared to rural areas [17,18,27,[29][30][31][32][33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Regional variations in breast cancer incidence among California women, 1988–1997

Reynolds

Hurley

Quach

et al. 2005

Cancer Causes Control

View full text Add to dashboard Cite

show abstract

“…Decreasing fertility has been found to parallel increasing incidence and mortaIity in the United Kingdom and in the United States (Armstrong, 1976;Blot, 1980). Some studies have found that high consumption of fat, animal protein and sugar 10 to 20 years earlier correlated better than changes in child-bearing with increasing breast cancer rates (Hems, 1980;Pawlega and Wallace, 1980;Jakesz et al, 1986). Other studies, reviewed by Bloch et al (1992), have also implicated dietary factors, in particular a lowered risk accompanying high intakes of fruit and vegetables.…”

Section: Incidence Of Female Breast Cancer In Relation To Prevalence mentioning

confidence: 99%

Incidence of female breast cancer in relation to prevalence of risk factors in Denmark

Ewertz

Duffy

1994

Intl Journal of Cancer

View full text Add to dashboard Cite

The extent to which changes in prevalence of risk determinants for female breast cancer could explain the temporal variation in incidence was examined using incidence figures from Denmark for the years 1943-1989. Significant increases in incidence were observed for more recent time periods and birth cohorts. Using deviance statistics from Poisson regression measures of variability explained, only a small proportion of the increase in incidence could be accounted for by fertility rates, average age at menarche and exposure to exogenous hormones. Dietary factors, on the other hand, accounted for the greater proportion of the variation observed by time period or birth cohort. In particular, there was a strong positive association of incidence with alcohol consumption and a negative association with carbohydrate intake.

show abstract

Nutrition and age at first birth in breast-cancer risk

Cited by 7 publications

References 9 publications

Relationship between Urbanization and Cancer Incidence in Iran Using Quantile Regression

Relationship between Urbanization and Cancer Incidence in Iran Using Quantile Regression

Regional variations in breast cancer incidence among California women, 1988–1997

Incidence of female breast cancer in relation to prevalence of risk factors in Denmark

Contact Info

Product

Resources

About