Abstract Aim Obesity is an established risk factor for endometrial cancer. Associations tend to be stronger for the endometrioid subtype. The role of adult weight change and weight cycling is ...uncertain. Our study aimed to determine whether there is an association between different adult weight trajectories, weight cycling and risk of endometrial cancer overall, and by subtype. Methods We analysed data from the Australian National Endometrial Cancer study, a population-based case–control study that collected self-reported information on height, weight at three time points (age 20, maximum and 1 year prior to diagnosis recent), intentional weight loss/regain (weight cycling) from 1398 women with endometrial cancer and 1538 controls. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using multivariable logistic regression analysis. Results Relative to women who maintained a stable weight during adulthood, greater weight gain after the age of 20 was associated with increased risk of endometrial cancer (OR for gain 40+kg all subtypes 5.3, 95% CI 3.9–7.3; endometrioid 6.5, 95% CI 4.7–9.0). The strongest associations were observed among women who were continually overweight from the age of 20 (all subtypes OR 3.6, 95% CI 2.6–5.0). Weight cycling was associated with increased risk, particularly among women who had ever been obese (OR 2.9 95% CI 1.8–4.7), with ∼3-fold risks seen for both endometrioid and non-endometrioid tumour subtypes. Women who had intentionally lost weight and maintained that weight loss were not at increased risk. Conclusion These results suggest that higher adult weight gain, and perhaps weight cycling, independently increase the risk of endometrial cancer, however women who lost weight and kept that weight off were not at increased risk.
Considerable experimental and epidemiological evidence suggests that elevated endogenous sex steroids — notably androgens and oestrogens — promote breast tumour development. In spite of this ...evidence, postmenopausal androgen replacement therapy with dehydroepiandrosterone (DHEA) or testosterone has been advocated for the prevention of osteoporosis and improved sexual well-being. We have conducted a case–control study nested within the European Prospective Investigation into Cancer and Nutrition. Levels of DHEA sulphate (DHEAS), (Δ4-androstenedione), testosterone, oestrone, oestradiol and sex-hormone binding globulin (SHBG) were measured in prediagnostic serum samples of 677 postmenopausal women who subsequently developed breast cancer and 1309 matched control subjects. Levels of free testosterone and free oestradiol were calculated from absolute concentrations of testosterone, oestradiol and SHBG. Logistic regression models were used to estimate relative risks of breast cancer by quintiles of hormone concentrations. For all sex steroids –the androgens as well as the oestrogens – elevated serum levels were positively associated with breast cancer risk, while SHBG levels were inversely related to risk. For the androgens, relative risk estimates (95% confidence intervals) between the top and bottom quintiles of the exposure distribution were: DHEAS 1.69 (1.23–2.33), androstenedione 1.94 (1.40–2.69), testosterone 1.85 (1.33–2.57) and free testosterone 2.50 (1.76–3.55). For the oestrogens, relative risk estimates were: oestrone 2.07 (1.42–3.02), oestradiol 2.28 (1.61–3.23) and free oestradiol (odds ratios 2.13 (1.52–2.98)). Adjustments for body mass index or other potential confounding factors did not substantially alter any of these relative risk estimates. Our results have shown that, among postmenopausal women, not only elevated serum oestrogens but also serum androgens are associated with increased breast cancer risk. Since DHEAS and androstenedione are largely of adrenal origin in postmenopausal women, our results indicated that elevated adrenal androgen synthesis is a risk factor for breast cancer. The results from this study caution against the use of DHEA(S), or other androgens, for postmenopausal androgen replacement therapy.
This study examines which socio-demographic and lifestyle characteristics are associated with weight and waist circumference (WC) change in a cohort of Australian adults over a 15-year period ...(1992-2007). Further, it tests the effect of period of birth (birth cohort) on mean weight and WC at two time points, 15 years apart.
Up to three repeated measures of weight (n=1437) and WC (n=1317) were used. Self-reported data on socio-demographic and lifestyle characteristics were derived from repeated questionnaires. Multivariable models, stratified by sex, were adjusted for potential confounders.
Participants born more recently were heavier, on average, than those in the same age group 15 years earlier, but there was no such secular trend in WC. Age at baseline was associated with change in weight and WC, but the pattern was different: participants gained weight up to age 55 years, while WC gain continued to 65 years. In women, higher level of recreational physical activity was associated with lower WC gain (P<0.05). Parity was also associated with WC change in women (P<0.05), but there was no linear trend.
Age was the most important factor associated with change in weight and WC in both sexes, apparently reducing the influence of all potential covariates. Among women, physical activity and parity were also associated with change in weight and WC. This study provides longitudinal evidence to support public health efforts that address the continuous increases in average weight and WC of many populations around the world.
We examined prospectively the association between weight change during adulthood and breast cancer risk, using data on 1358 incident cases that developed during 5.8 years of follow-up among 40,429 ...premenopausal and 57,923 postmenopausal women from six European countries, taking part in the European prospective investigation into cancer and nutrition study. Multivariate Cox regression models were used to calculate hazard ratios according to weight change (kg), defined as the weight difference between age at enrollment and age 20 adjusted for other risk factors. Changes in weight were not associated with premenopausal breast cancer risk. In postmenopausal women, weight gain was positively associated with breast cancer risk only among noncurrent hormone replacement therapy (HRT) users (P-trend < or = 0.0002). Compared to women with a stable weight (+/-2 kg), the relative risk for women who gained 15-20 kg was 1.50 (95% confidence interval (CI) 1.06-2.13). The pooled RR per weight gain increment of 5 kg was 1.08 (95% CI 1.04-1.12). Weight gain was not associated with breast cancer risk in current HRT users, although, overall, these women experienced a much higher risk of breast cancer compared with nonusers. Our findings suggest that large adult weight gain was a significant predictor of breast cancer in postmenopausal women not taking exogenous hormones.
The aim of this study was to examine the relationship of diet with serum insulin-like growth factor-I (IGF-I) and IGF-binding protein-3 in women.
Cross-sectional study.
The population are 2109 women ...who were control subjects in a case-control study of breast cancer nested in the European Prospective Investigation into Cancer and Nutrition. Control subjects were randomly chosen among risk sets consisting of female cohort members alive and free of cancer (except non-melanoma skin cancer) at the time of diagnosis of the index case. Matching criteria were age at enrolment, follow-up time, time of the day of blood collection and study centre. Diet was measured through validated questionnaires. Serum hormone concentrations were measured by enzyme-linked immunosorbent assays. The relationship between serum IGF-I, IGFBP-3, and intake of nutrients and foods was explored by linear regression in models adjusted for energy intake, age, body mass index, smoking, physical activity, centre and laboratory batch.
Serum IGF-I levels were positively related to protein intake (P(trend)<0.001), but not related to energy, fat or carbohydrate intake. Positive relationships were observed with the intake of milk (P(trend)=0.007), calcium (P(trend)<0.001), magnesium (P(trend)=0.003), phosphorus (P(trend)<0.001), potassium (P(trend)=0.002), vitamin B6 (P(trend)=0.03), vitamin B2 (P(trend)=0.001) and inverse relationships with vegetables (P(trend)=0.02) and beta-carotene (P(trend)=0.02). IGFBP-3 was not related with most of the nutrients and foods in this study.
In this population, circulating IGF-I is modestly related with the intake of protein and minerals, and with milk and cheese, while IGFBP-3 does not appear to be related with diet.
Our objective was to determine the relationship between dietary glycemic load (GL), glycemic index (GI), carbohydrate intake, and ovarian cancer risk in a population-based case–control study.
A ...self-administered questionnaire was used to collect data on demographic and lifestyle factors, and a food frequency questionnaire was used to collect dietary information from 1366 women with ovarian cancer and 1414 population controls.
GL was positively associated with ovarian cancer. The adjusted odds ratio (OR) for the highest versus the lowest quartile of intake was 1.24 95% confidence interval (CI) 1.00–1.55, P for trend = 0.03. Fiber intake was inversely associated with risk. The OR comparing women in the highest fiber-intake group with those in the lowest was 0.78 (95% CI 0.62–0.98, P for trend = 0.11). We found no association between GI, carbohydrate intake, and ovarian cancer. In analyses stratified by body mass index, the risk estimates for GL, carbohydrate, and sugar were higher among overweight/obese women; however, the interaction term was only significant for sugar (P for interaction = 0.004).
Our results suggest that diets with a high GL may increase the risk of ovarian cancer, particularly among overweight/obese women, and a high intake of fiber may provide modest protection.
Previous studies of associations between diet, obesity, and blood concentrations of alpha-tocopherol and beta-carotene have been equivocal. Furthermore, most studies used only body mass index (BMI) ...as an obesity measure.
Our objectives were to examine the associations between energy and nutrient intakes, alcohol consumption, tobacco use, and serum cholesterol and serum concentrations of alpha-tocopherol and beta-carotene, and to examine the associations between different measures of general and central adiposity and serum concentrations of alpha-tocopherol and beta-carotene.
This was a cross-sectional, population-based study of 253 men and 276 women aged 46-67 y. Nutrient data were collected by a modified diet history method. Measures of obesity included BMI, percentage of body fat (impedance analysis), waist-to-hip ratio, and waist circumference. The associations between serum nutrient concentrations and the other factors were examined by multiple linear regression.
Twenty-one percent of men and 34% of women used antioxidant supplements. The mean BMI was 26.1 in men and 25.4 in women. Serum beta-carotene concentration was positively associated with serum cholesterol concentration, fiber intake, and beta-carotene intake, and negatively associated with smoking and all measures of obesity. In men, serum beta-carotene concentration was not significantly associated with central adiposity after adjustment for body fat. Serum alpha-tocopherol concentration was positively correlated with serum cholesterol, obesity, and vitamin E intake. In women, serum alpha-tocopherol concentration was also positively associated with intakes of ascorbic acid and selenium. Serum alpha-tocopherol concentration was associated with central adiposity after adjustment for body fat.
Serum beta-carotene and alpha-tocopherol concentrations have different associations with diet, smoking, general adiposity, and central adiposity.
OBJECTIVES: To examine sociodemographic factors associated with long-term adult weight gain and current general and central adiposity in women. DESIGN: Cross-sectional analysis based on data from the ...Malmo Diet and Cancer prospective cohort Study (MDCS), Sweden. SUBJECTS: 5464 women aged 45-73 y, who participated in the MDCS between 1994 and 1996. MEASUREMENTS: Weight change was defined as the difference between measured weight and recalled weight at age 20. Body composition was estimated from bioelectrical impedance analysis. Waist circumference and waist-hip ratio (WHR) were indicators of central obesity. Sociodemographic factors studied included reproductive, lifestyle and socioeconomic characteristics obtained from a questionnaire. RESULTS: At current age 13% of all women were obese (BMI greater than or equal to 30), and nearly one-third had a body fat content of >33%. Since age 20, the majority of women (77%) had gained more than 10% of their initial weight. On average, the mean weight change was 12.6 +/- 10.0 kg during adult life. Age-adjusted group mean comparisons identified a number of significant sociodemographic variables predicting past weight gain and current obesity. In multivariate analysis, significant independent correlates of weight gain were: age, initial small body size, high parity, early menarche, non-use of hormone therapy, low self-rated health, non-smoking, no consumption of alcohol, sedentary leisure activity, past change in diet, retirement, low education, low socioeconomic status, and low socioeconomic status of origin. Many of the same variables were independently associated with current waist circumference, WHR, and percentage body fat. CONCLUSIONS: Large weight gain during adult life and a high rate of overweight were observed in this group of Swedish women. Many sociodemographic characteristics were associated with long-term weight gain and recent obesity indices. Initial BMI, smoking, age, physical activity and early socioeconomic status accounted for most of the explained variance in weight change. The findings indicate the importance of identifying environmental determinants of both weight gain and attained fatness, as well as fat distribution.
To describe anthropometric characteristics of participants of the European Prospective Investigation into Cancer and Nutrition (EPIC).
A cross-sectional analysis of baseline data of a European ...prospective cohort study.
This analysis includes study populations from 25 centres in nine European countries. The British populations comprised both a population-based and a 'health-conscious' group. The analysis was restricted to 83 178 men and 163 851 women aged 50-64 years, this group being represented in all centres.
Anthropometric examinations were undertaken by trained observers using standardised methods and included measurements of weight, height, and waist and hip circumferences. In the 'health-conscious' group (UK), anthropometric measures were predicted from self-reports.
Except in the 'health-conscious' group (UK) and in the French centres, mean body mass index (BMI) exceeded 25.0 kg m-2. The prevalence of obesity (BMI> or =30 kg m(-2)) varied from 8% to 40% in men, and from 5% to 53% in women, with high prevalences (>25%) in the centres from Spain, Greece, Ragusa and Naples (Italy) and the lowest prevalences (<10%) in the French centres and the 'health-conscious' group (UK). The prevalence of a large waist circumference or a high waist-to-hip ratio was high in centres from Spain, Greece, Ragusa and Naples (Italy) and among women from centres in Germany and Bilthoven (The Netherlands).
Anthropometric measures varied considerably within the EPIC population. These data provide a strong base for further investigation of anthropometric measures in relation to the risk of chronic diseases, especially cancer.
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