Body fatness during childhood and adolescence and incidence of breast cancer in premenopausal women: a prospective cohort study
© Baer et al.; licensee BioMed Central Ltd. 2005
Received: 13 August 2004
Accepted: 13 January 2005
Published: 18 February 2005
Body mass index (BMI) during adulthood is inversely related to the incidence of premenopausal breast cancer, but the role of body fatness earlier in life is less clear. We examined prospectively the relation between body fatness during childhood and adolescence and the incidence of breast cancer in premenopausal women.
Participants were 109,267 premenopausal women in the Nurses' Health Study II who recalled their body fatness at ages 5, 10 and 20 years using a validated 9-level figure drawing. Over 12 years of follow up, 1318 incident cases of breast cancer were identified. Cox proportional hazards regression was used to compute relative risks (RRs) and 95% confidence intervals (CIs) for body fatness at each age and for average childhood (ages 5–10 years) and adolescent (ages 10–20 years) fatness.
Body fatness at each age was inversely associated with premenopausal breast cancer incidence; the multivariate RRs were 0.48 (95% CI 0.35–0.55) and 0.57 (95% CI 0.39–0.83) for the most overweight compared with the most lean in childhood and adolescence, respectively (P for trend < 0.0001). The association for childhood body fatness was only slightly attenuated after adjustment for later BMI, with a multivariate RR of 0.52 (95% CI 0.38–0.71) for the most overweight compared with the most lean (P for trend = 0.001). Adjustment for menstrual cycle characteristics had little impact on the association.
Greater body fatness during childhood and adolescence is associated with reduced incidence of premenopausal breast cancer, independent of adult BMI and menstrual cycle characteristics.
Body mass index (BMI) during adulthood is related to breast cancer incidence, although the direction of the association varies by menopausal status. More overweight women have a lower risk of breast cancer before menopause but a higher risk after menopause [1, 2]. In premenopausal women, greater adiposity may increase the frequency of anovulatory menstrual cycles, thus reducing exposure to ovarian hormones . In contrast, greater adiposity in postmenopausal women increases both estrogen levels and breast cancer risk, which is probably due to the conversion of androgens to estrone in adipose tissue .
Despite the consistency of evidence for adult BMI, few studies have examined the role of body fatness during childhood and early adolescence, and results have been inconclusive. The majority have been case-control studies in which body fatness at young ages was recalled after diagnosis of breast cancer. Some [4–7] but not all [8–11] of these studies have shown inverse associations between body fatness at young ages and breast cancer risk. In a study that linked census records for residents of Hawaii to tumor registry data , a strong inverse association was seen between prospectively recorded body fatness from ages 10–14 years and incidence of premenopausal breast cancer; a study conducted in Finland that used height and weight measurements for ages 7–15 years from school health records  yielded similar findings. However, limited information on potential confounders was available in these studies. In an analysis that combined retrospective and prospective data within the earlier Nurses' Health Study , inverse associations were observed for recalled body fatness at ages 5, 10, and 20 years in relation to incidence of both premenopausal and postmenopausal breast cancer, with the strongest inverse association of these three for body fatness at age 10 years. A prospective cohort study conducted in Norway and Sweden  found inverse associations of perceived body shape at age 7 years and BMI at age 18 years with incidence of premenopausal breast cancer, but these associations were attenuated and no longer significant when adjusted for BMI at enrollment. A recent Danish study that used information from school health records  also found a modest inverse association between BMI at age 14 years and breast cancer risk, although no data on adult BMI were available.
A variety of evidence points to the importance of early life factors in the etiology of breast cancer. Studies of mammary gland development in rats have shown that developing breast tissue may be most vulnerable to carcinogens before the first birth, when undifferentiated cells are undergoing rapid proliferation [17, 18]. Epidemiologic studies conducted in humans and biomathematical models also suggest that the years between menarche and first birth may be a critical time period for breast carcinogenesis . In light of these findings, it is plausible that body fatness at young ages could influence risk of breast cancer later in life.
We examined prospectively the relation between body fatness during childhood and adolescence and incidence of breast cancer among premenopausal women in the Nurses' Health Study II (NHS II). In addition, we investigated whether this relation is independent of characteristics of the menstrual cycle and BMI during adulthood.
Materials and methods
Study design and population
The NHS II is a prospective cohort study that began in 1989, when 116,671 female registered nurses between the ages of 25 and 42 years completed a mailed, self-administered questionnaire about their health behaviors, lifestyle factors, and medical histories. Follow-up questionnaires have been sent to participants every 2 years to obtain updated information on risk factors and disease diagnoses, and the response rate for each biennial questionnaire has been greater than 90%. Deaths are reported by family members and the postal service, and regular searches of the computerized National Death Index are also conducted . This analysis includes the 109,267 premenopausal women who provided information on their body fatness at ages 5, 10, and 20 years on the initial questionnaire in 1989 and who had no history of cancer (other than nonmelanoma skin cancer). The study was approved by human research committees at the Harvard School of Public Health and Brigham and Women's Hospital.
Ascertainment of breast cancer cases
On each of the biennial questionnaires between 1989 and 2001, participants were asked whether they had been diagnosed with breast cancer during the previous 2 years or since the last questionnaire they returned. Study physicians then confirmed the self-reported diagnoses by reviewing participants' medical records and/or pathology reports.
A total of 1318 cases of breast cancer (1044 invasive, 274 in situ) were reported and subsequently confirmed among eligible participants during 12 years of follow-up, from 1989 to 1 June 2001. Because epidemiologic studies have generally shown similar risk factors for in situ and invasive breast cancer [21–23], both are included in our primary analyses, although secondary analyses in which the outcome was restricted to invasive disease were also conducted.
Assessment of body fatness at young ages
Must and colleagues  evaluated the validity of remote recall of body fatness among 181 participants in the Third Harvard Growth Study, a longitudinal study of physical and mental growth in children that was conducted between 1922 and 1935 in the Boston area. Height and weight were measured as part of annual examinations during childhood and adolescence and were used to calculate BMI in kg/m2. In 1988 and 1989, when participants were between ages 71 and 76 years, they were interviewed again and asked to recall their body fatness at ages 5, 10, 15, and 20 years, using the same 9-level figure drawing as that on the 1989 NHS II questionnaire. Pearson correlations between recalled body fatness and BMI at approximately the same ages were 0.60 for age 5 years, 0.70 for age 10 years, 0.75 for age 15 years, and 0.66 for age 20 years. Other studies have yielded similar findings [26–29], indicating that these figure drawings can provide a reasonably accurate assessment of body fatness at young ages.
Among participants in the Third Harvard Growth Study, which provides the best available 'gold standard' for the interpretation of the figure drawing, the median values for BMI from measured height and weight at age 15 years according to recalled figure at age 15 years were 19, 19.5, 24, 25, 25.5, 30, and 32 kg/m2 for levels 1 through 7, respectively ; no participants reported being greater than level 7. In the present study, the median values for BMI at age 18 years (based on self-reported data) according to recalled figure at age 20 years were 18.1 for level 1, 19.1 for level 2, 20.5 for level 3, 22.3 for level 4, 24.9 for level 5, 28.2 for level 6, 32.0 for level 7, 34.7 for level 8, and 37.8 kg/m2 for level 9.
Assessment of other risk factors
Information on other established and hypothesized breast cancer risk factors was collected at various points during the course of the study. Age, menopausal status, reproductive history, oral contraceptive use, smoking status, and diagnosis of benign breast disease were reported at baseline in 1989 and updated on each of the biennial questionnaires. History of breast cancer in a first-degree relative (mother or sister) was reported in 1989 and updated in 1997. Recent alcohol consumption was assessed on the initial questionnaire in 1989 and again in 1991, 1995, and 1999 from semiquantitative food frequency questionnaires, which also evaluated other dietary factors. Participation in physical activity was evaluated in 1989, 1991, and 1997. Height, alcohol consumption between ages 15 and 17 years and ages 18 and 22 years, and strenuous physical activity during high school and between ages 18 and 22 years were assessed in 1989. Other early life factors such as birthweight and being breastfed as an infant were reported on the 1991 questionnaire. A subset of participants (n = 43,317) provided information on dietary factors during adolescence by completing a supplementary questionnaire on high school diet in 1998.
Weight at age 18 years was reported in 1989, and current weight was reported on each of the biennial questionnaires; these were used with height to calculate BMI at age 18 years and current BMI. Age at menarche, time from menarche until onset of regular menstrual cycles, and cycle regularity and length during high school and between ages 18 and 22 years were reported on the 1989 questionnaire, and recent menstrual cycle characteristics were reported in 1993.
Participants contributed person-time from the return date of the 1989 questionnaire until the report of breast cancer or other cancer (except nonmelanoma skin cancer), menopause, death, or the end of follow-up on 1 June 2001. Cases and person-time were assigned to the appropriate level of body fatness at each age and other risk factors. For time-varying covariates such as oral contraceptive use and parity, person-time was re-assigned every 2 years.
Breast cancer incidence rates for each level of body fatness at ages 5, 10, and 20 years, and during childhood and adolescence were calculated as the number of breast cancer cases divided by the total number of person-years at each level. Few participants recalled their body fatness as greater than level 5 at ages 5 and 10 years; for example, for body fatness at age 10 years, 9.1% of participants recalled their figure as level 5, 2.6% recalled their figure as level 6, 0.4% recalled their figure as level 7, and only 0.1% recalled their figure as either level 8 or level 9. For this reason, figures 5 through 9 were combined into a single category for most analyses, and similar categories were created for childhood and adolescent body fatness. Relative risks (RRs) were calculated by taking the ratio of the incidence rate for each level compared with the lowest level, which was used as the referent category.
Cox proportional hazards regression was used to estimate multivariate RRs and 95% confidence intervals (CIs) for body fatness at young ages while adjusting for age, time period, and other covariates. Body fatness at each age was examined in a separate Cox model, because recalled figures at these ages are highly correlated with one another. Indicator variables were used to obtain RRs for levels of body fatness at each age, and tests for linear trend were conducted by entering body fatness at each age into a Cox model as an ordinal variable with values 1 through 5. Changes in body fatness between ages 5, 10, and 20 years were also examined in Cox models, using the categories decreased, no change, increased 1 level, and increased 2 or more levels, with no change being the referent category.
Because BMI during adulthood and menstrual cycle characteristics could be intermediate factors on the pathway from body fatness at young ages to breast cancer, these were considered separately from other covariates. To determine whether the association between body fatness at young ages and breast cancer is independent of later BMI, we adjusted for later BMI using several different variables, included in separate models: BMI at age 18 years, current BMI (updated every 2 years), and the cumulative average of BMI at age 18 years and all subsequent BMI reports up until the current time period. These variables were each divided into five categories (not including those who were missing) and included as continuous terms by assigning the median value of each category. Childhood body fatness and body fatness at age 20 years were also included in the same multivariate model, to examine the estimates mutually adjusted for one another. Height was included as a continuous term in all multivariate models, because it is positively associated with breast cancer incidence  and may reflect nutritional status during childhood .
To determine whether body fatness at young ages may have an impact on breast cancer risk by altering characteristics of the menstrual cycle, we first adjusted for age at menarche and years from menarche until the onset of regular menstrual cycles, because greater body fatness at young ages has been associated with earlier menarche but longer time until the establishment of regular cycles . In addition, we considered adjustment for regularity and length of cycles during several different time periods: high school, ages 18–22 years, and recent (reported only once in 1993). With the exception of age at menarche, which was modeled as a continuous variable, indicator variables were used to represent categories of menstrual cycle characteristics.
After conducting these analyses in the full sample, we then restricted them to certain subgroups of participants: women who had had at least one screening mammography during the follow-up period (n = 89,129; 1223 cases), women who had no reports of infertility (n = 82,892; 991 cases), and women who had no history of irregular menstrual cycles (n = 51,909; 666 cases). This was done to explore further whether differential screening or anovulation could account for associations between body fatness at young ages and premenopausal breast cancer incidence. The 1044 invasive cases were also examined in separate models and further stratified by tumor size (574 cases <2 cm; 321 cases ≥ 2 cm) and hormone receptor status (604 estrogen receptor positive cases; 252 estrogen receptor negative cases; 571 progesterone receptor positive cases; 267 estrogen receptor negative cases) when this information was available.
We also examined whether associations for childhood fatness varied according to family history of breast cancer (yes, no), age at menarche (<12 years, ≥ 12 years), parity (nulliparous, parous), oral contraceptive use (never or past use <4 years, past use ≥ 4 years, or current use), birthweight (<7 lb, ≥ 7 lb), BMI at age 18 years (<22 kg/m2, ≥ 22 kg/m2), or current BMI (<25 kg/m2, ≥ 25 kg/m2). Separate models were constructed within each level of these factors to obtain stratum-specific estimates, and interaction terms were created by multiplying childhood body fatness as an ordinal variable by the level of each potential modifier. Wald tests were then used to evaluate whether the trends for body fatness were significantly different according to these factors.
Characteristics of 109,267 premenopausal Nurses' Health Study II participants in 1989 according to body fatness at age 10 years
Figure at age 10 years
Number participants (%)
Total caloric intake in high school (kilocalories)a
Animal fat intake in high school (% energy)a
Vegetable fat intake in high school (% energy)a
Age at menarche (years)
BMI at age 18 years (kg/m2)
Current BMI (kg/m2)
Age at first birth (years)b
Birthweight ≥ 8.5 lb
≥ 3 years from menarche until regular menstrual cycles
Irregular menstrual cycles/no periods ages 18–22 years
Menstrual cycle length ≥ 40 days ages 18–22 years
Strenuous activity 10–12 months/year in high school
BMI at age 18 years ≥ 25 kg/m2
Current BMI ≥ 30 kg/m2
Current oral contraceptive user
Alcohol consumption ≥ 10 g/day
First-degree family history of breast cancer
History of benign breast disease
Relative risks of breast cancer by body fatness at ages 5, 10, and 20 years, and during childhood and adolescence among 109,267 premenopausal Nurses' Health Study II participants (1989–2001)
Casesa (n = 1318)
Age-adjusted RR (95% CI)
Multivariate RR (95% CI)b
Figure at age 5 years
P for trendc
Figure at age 10 years
P for trendc
Figure at age 20 years
P for trendc
Average childhood figure (ages 5–10 years)
P for trendc
Average adolescent figure (ages 10–20 years)
P for trendc
Relative risks of breast cancer by changes in body fatness between ages 5, 10, and 20 years among 109,267 premenopausal Nurses' Health Study II participants (1989–2001)
Casesa (n = 1318)
Age-adjusted RR (95% CI)
Multivariate RR (95% CI)b
Multivariate RR + starting figurec
Change from ages 5 to 10 years
Increased 1 level
Increased 2 or more levels
Change from ages 10 to 20 years
Increased 1 level
Increased 2 or more levels
Change from ages 5 to 20 years
Increased 1 level
Increased 2 or more levels
Increases in body fatness during childhood and adolescence were also inversely associated with breast cancer risk (Table 3). Compared with participants who stayed at the same level from age 5 to age 20 years, the multivariate RR for those who increased 2 or more levels was 0.86 (95% CI 0.74–1.02). This association became stronger after adjustment for body fatness at age 5 years, with a multivariate RR of 0.77 (95% CI 0.65–0.91) for those who increased 2 or more levels. Similar patterns were observed for changes in body fatness from ages 5 to 10 years and from ages 10 to 20 years.
Relative risks for breast cancer by average childhood body fatness, with adjustment for later body mass index and menstrual cycle characteristics, among 109,267 premenopausal Nurses' Health Study II participants (1989–2001)
Average childhood figure (ages 5–10 years)
P for trendd
Multivariate RR (95% CI)a
Multivariate RR + later BMIb
BMI at age 18 years
Cumulatively averaged BMI
Multivariate RR + age at menarche and menstrual cycle characteristicsc
Age at menarche
Age at menarche, time until regular cycles
Age at menarche, regularity/length of cycles, ages 18–22 years
In separate models in which BMI at age 18 years and current BMI were adjusted for childhood body fatness, each remained inversely related to breast cancer incidence, although the associations were attenuated and less strong than the association for childhood body fatness. The multivariate RRs for the highest versus the lowest categories of BMI at age 18 years and current BMI, adjusted for childhood body fatness, were 0.84 (95% CI 0.66–1.07) and 0.86 (95% CI 0.71–1.04), respectively. When average childhood body fatness and body fatness at age 20 years were included in the same model as indicator variables, the multivariate RR for the most overweight compared with the most lean in childhood was 0.56 (95% CI 0.40–0.78; P for trend = 0.03), whereas the multivariate RR for the most overweight compared with the most lean at age 20 years was 0.82 (95% CI 0.59–1.14; P for trend = 0.02).
The associations for childhood and adolescent body fatness were slightly stronger in the analyses including only invasive cases. The multivariate RR for the most overweight compared with the most lean during childhood was 0.45 (95% CI 0.31–0.64; P for trend < 0.0001) and during adolescence was 0.52 (95% CI 0.33–0.80; P for trend < 0.0001). The decreased risk was apparent both for small and large tumors and for hormone receptor positive and negative tumors (data not shown), although some of the estimates were imprecise because of small numbers of cases. The associations were also very similar among the subgroup of women who had had at least one screening mammography during the follow-up period (data not shown).
The observed associations for childhood body fatness did not differ appreciably by family history of breast cancer, age at menarche, parity, oral contraceptive use, or birthweight (data not shown). The inverse trend across categories of childhood body fatness was somewhat more apparent among those who were heavy than among those who were lean at age 18 years, and the test for interaction was marginally significant (χ2 1 = 3.68; P = 0.06), although the multivariate RRs for the most overweight compared with the most lean in childhood were very similar in both categories of BMI at age 18 years (RR = 0.42 among those with BMI <22 kg/m2 at age 18 years, P for trend = 0.08; and RR = 0.49 among those with BMI ≥ 22 kg/m2 at age 18 years, P for trend = 0.001). In contrast, the association for childhood body fatness did not differ according to current BMI (data not shown).
In this prospective study we observed a significant inverse association between body fatness during childhood and adolescence and incidence of breast cancer in premenopausal women, with approximately 50% lower risk for the most overweight compared with the most lean in childhood. The magnitude of the decrease in risk was greater for childhood body fatness than for body fatness at older ages. The inverse association was independent of later BMI and menstrual cycle characteristics, suggesting that body fatness at young ages may influence breast cancer risk through other biologic pathways.
Our findings are consistent with the results of some other studies that have examined this relationship. Le Marchand and colleagues  linked prospectively recorded information on height and weight from census data for over 38,000 women to the Hawaii Tumor Registry, from which 607 cases of breast cancer were identified. In that study BMI at ages 5–9 years, 10–14 years, and 20–24 years were each inversely associated with breast cancer incidence, but the strongest association was for BMI from ages 10–14 years, with an odds ratio of 0.51 for the highest versus the lowest tertile. A second prospective study of 3447 women born at the University Hospital of Helsinki  obtained anthropometric measurements from birth and school health records and linked this information to the National Hospital Discharge Registry and the Cause of Death registry, identifying 177 incident cases of breast cancer. BMI at ages 7–15 years were inversely associated with breast cancer risk, with a RR of 0.83 for each 1 kg/m2 increase in BMI at age 7 years. Both studies, however, lacked information on other important breast cancer risk factors that might confound these associations. In a prospective cohort study conducted in Norway and Sweden , the investigators observed inverse associations of perceived body shape at age 7 years and BMI at age 18 years with incidence of premenopausal breast cancer, with approximately 30% decreased risk for those who were fat or very fat at age 7 years compared with those who were average. In contrast to our findings, the association was strongest for adult BMI at enrollment, and the associations for perceived body shape at age 7 years and BMI at age 18 years were no longer significant after this adjustment. However, only 733 cases were included in that study, which could explain the lack of significance. A recent record linkage study conducted in Denmark that included over 3000 breast cancer cases  also observed a modest inverse association for BMI at age 14 years, based on information from school health records, but data on adult BMI were not available.
Other epidemiologic studies have assessed body fatness at young ages through recall. Most of these utilized a case-control design in which women with breast cancer and cancer-free controls were asked to categorize their relative weight compared with other girls at specific ages. The majority found inverse associations for body fatness during the childhood and teenage years, observing a 30–50% decrease in risk for those who reported being heavier or much heavier compared with those who recalled being thin or average size [4, 5, 7, 10]. Several others [8, 9, 11], however, have not found such inverse associations.
Two previous studies have assessed the relationship between body fatness at young ages and breast cancer risk using the same 9-level figure drawing as in our study. In a large Swedish population-based case-control study of 3345 cases of invasive breast cancer and 3454 controls between ages 50 and 74 years , body fatness at ages 7 and 18 years were both inversely associated with postmenopausal breast cancer risk, with a RR of 0.38 for figure level 7 or greater versus level 4 at age 7 years. In a largely retrospective analysis within the earlier Nurses' Health Study , body fatness at ages 5, 10, and 20 years were each inversely associated with risk of premenopausal breast cancer, with the strongest association for age 10 years. When body fatness at these ages were mutually adjusted for one another, the RR for figure level 5 or greater compared with level 1 was 0.60 for body fatness at age 10 years. A similar pattern was also observed for postmenopausal breast cancer.
Ours is one of the first prospective studies to examine the relation between childhood body fatness and breast cancer incidence, and we were able to control for a broad range of factors, both in early life and adulthood, that were not available in earlier studies. In addition, unlike most previous studies, we adjusted for later BMI using several different variables, including the cumulative average of BMI at age 18 years and all subsequent BMI reports to obtain the best long-term measure. Even with this adjustment, the inverse associations for body fatness during childhood and adolescence remained strong and statistically significant, suggesting that greater body fatness at early stages of life, perhaps even before puberty, may lower breast cancer risk. In addition, in the analyses stratified by current BMI, greater childhood body fatness was associated with reduced risk of breast cancer among both lean and heavy women, which indicates that greater childhood body fatness may confer a lasting protective effect. The biologic mechanisms that would explain this, however, are not well understood. One theory postulates that more overweight girls may experience slower pubertal growth and sexual maturation, despite their earlier menarche [6, 14]. In the Harvard Longitudinal Study of Child Health and Development , leaner body mass at age 10 years was predictive of more rapid adolescent growth, and in the Nurses' Health Study  adolescents in the highest two quintiles of estimated growth rate had nearly 50% increased risk of premenopausal breast cancer. Rapid adolescent growth may increase breast cancer risk by increasing levels of growth hormones and epithelial proliferation in the breast or by decreasing the amount of time for repair of DNA damage .
The effect of body fatness at young ages may also be mediated through hormonal pathways. Obesity in pre-adolescent and adolescent girls is associated with higher basal insulin levels [35, 36], which can impair oocyte maturation and stimulate androgen production in the ovary [31, 37]. Hyperinsulinemia is also associated with decreased plasma levels of sex hormone binding globulin, leading to increases in free (unbound) testosterone and estradiol, and the aromatization of excess androgen to estrogen in adipose tissue may also increase estrogen levels . Greater waist:hip ratio has been associated with higher serum concentrations of testosterone and estradiol in prepubertal and pubertal girls in some studies [31, 39] but not all studies [40, 41]. High levels of androgens in adolescent girls are associated with metabolic features of polycystic ovary syndrome , greater frequency of anovulatory cycles , and reduced fertility later in life . In a previous study conducted among participants in this cohort , higher BMI at age 18 years was associated with increased risk of irregular and long menstrual cycles between ages 18 and 22 years as well as increased risk of ovulatory infertility in adulthood , and greater body fatness at age 10 years was also associated with moderately increased risk of menstrual cycle irregularities and nulliparity in the present analysis after adjustment for other factors. In addition, menstrual cycle regularity and length were related to breast cancer risk among NHS II participants during the first few years of follow up . However, the observed associations for body fatness at young ages in the present study were nearly identical among participants with no history of irregular menstrual cycles or infertility, suggesting that these are not intermediate factors and that other mechanisms may be involved.
High levels of sex hormones in overweight prepubertal and pubertal girls may also have a more direct protective effect on breast tissue. Several experiments have shown that neonatal, prepubertal, or pubertal administration of estrogen, prolactin, progesterone, or testosterone in rats leads to differentiation of cells of the mammary gland as well as a substantial reduction in the incidence of mammary tumors following exposure to chemical carcinogens [46–50]. Hence, some have recently hypothesized that the timing of exposure to estrogens and other hormones may determine their effects on breast tissue [51, 52]. Hilakivi-Clarke  has suggested that early estrogen exposure may reduce breast cancer risk by increasing the expression of tumor suppressor genes such as BRCA1, inducing differentiation of immature breast cells into more mature ductal structures in addition to stimulating epithelial growth. Higher levels of estrogens may be protective in the breasts of young girls, which are less likely to contain malignant cells, but harmful in older women, whose breasts are more likely to have acquired transformed cells.
Of course, alternative explanations for our findings cannot be ruled out entirely. Although two well designed validation studies [25, 29] demonstrated that long-term recall of body fatness using this figure drawing has high correlations with BMI at the same ages, no participants in either of those studies recalled their figure as greater than level 7 at young ages; hence, the accuracy of recall at the highest levels of body fatness could not be assessed. Furthermore, the validation studies showed that women who were obese had a greater tendency to underestimate their body fatness at young ages than those who were lean, which could exaggerate the observed association for less extreme levels of body fatness. However, this would not explain the overall association, and the decreasing trend that we observed in age at menarche across all levels of body fatness at age 10 years is strong evidence of the validity of our assessment. We also repeated the analyses using the middle category of body fatness at each age and during childhood and adolescence as the referent group, to evaluate whether the observed inverse association could possibly be explained by higher risk among participants who were extremely lean at young ages. When we did this, we still observed significantly lower risk for the most overweight compared with the middle category. For example, for average childhood body fatness, the multivariate RR for the most overweight compared with the middle category (level 2.5–3) was 0.53 (95% CI 0.39–0.72), whereas the multivariate RR for the most lean was 1.11 (95% CI 0.95–1.31); this argues against elevated risk among the most lean as the major explanation for our findings. Other unmeasured factors, especially those during early life and childhood, could also confound the associations for body fatness at young ages, although a confounder would have to be very strong to account for an association of this magnitude.
Detection bias is another possibility because women who are obese as adults may be less likely to get regular screening mammograms , which could delay or reduce the chance of detection. In this population, however, the probability of having a screening mammography was not appreciably related to childhood body fatness or current BMI among women in several age groups. For example, among women ages 50–54 years in 1999, 69.2% of those who were figure level 1 at age 10 years reported having had a screening mammogram within the preceding 2 years, as compared with 71.8% of those who were figure level 5 or greater at age 10 years. These percentages were similar when examined according to current BMI in 1999 among women ages 50–54 years, although a slightly greater proportion of those in the intermediate category of BMI (23–24.9 kg/m2) reported having had a recent screening mammogram compared with those in either of the two extreme categories (74.4% compared with 69.6% for those with BMI <21 kg/m2 and 69.0% for those with BMI ≥ 30 kg/m2). We still observed a strong inverse association between early body fatness and breast cancer risk among women who reported having at least one screening mammography. In addition, if easier detection in lean women were the main explanation for our findings, we would have expected the association to become weaker when in situ cases were excluded, which is not what occurred. The results stratified by tumor size showed an inverse association for both large and small tumors, also arguing against a detection bias.
These data indicate that greater body fatness during childhood and adolescence may reduce the incidence of premenopausal breast cancer, independently of adult BMI and menstrual cycle characteristics, and that this association may be stronger than the association for BMI at later ages. These findings should be interpreted cautiously, given that greater adiposity in adolescence has numerous adverse long-term health consequences  and that obesity in postmenopausal women increases breast cancer risk . However, they could help to elucidate the biologic mechanisms that are involved in the etiology of breast cancer. In light of the strength of our findings and their consistency with those of previous studies, identifying causal pathways that would help explain this inverse association should be a priority for future research.
body mass index
The work reported in this article was supported by Public Health Service grant CA50385 from the National Cancer Institute, National Institutes of Health, and Department of Health and Human Services. HJB was supported by Department of Defense grant DAMD17-00-1-0165 in Breast Cancer Epidemiology and Prevention, and GAC is supported in part by the American Cancer Society Cissy Hornung Clinical Research Professorship. The authors thank the participants of the NHS II for their dedication to this study and Sue Malspeis for technical support.
- van den Brandt PA, Spiegelman D, Yaun SS, Adami HO, Beeson L, Folsom AR, Fraser G, Goldbohm RA, Graham S, Kushi L, et al: Pooled analysis of prospective cohort studies on height, weight, and breast cancer risk. Am J Epidemiol. 2000, 152: 514-527. 10.1093/aje/152.6.514.PubMedView ArticleGoogle Scholar
- Friedenreich CM: Review of anthropometric factors and breast cancer risk. Eur J Cancer Prev. 2001, 10: 15-32. 10.1097/00008469-200102000-00003.PubMedView ArticleGoogle Scholar
- Bernstein L: Epidemiology of endocrine-related risk factors for breast cancer. J Mammary Gland Biol Neoplasia. 2002, 7: 3-15. 10.1023/A:1015714305420.PubMedView ArticleGoogle Scholar
- Hislop TG, Coldman AJ, Elwood JM, Brauer G, Kan L: Childhood and recent eating patterns and risk of breast cancer. Cancer Detect Prev. 1986, 9: 47-58.PubMedGoogle Scholar
- Brinton LA, Swanson CA: Height and weight at various ages and risk of breast cancer. Ann Epidemiol. 1992, 2: 597-609.PubMedView ArticleGoogle Scholar
- Magnusson C, Baron J, Persson I, Wolk A, Bergstrom R, Trichopoulos D, Adami HO: Body size in different periods of life and breast cancer risk in post- menopausal women. Int J Cancer. 1998, 76: 29-34. 10.1002/(SICI)1097-0215(19980330)76:1<29::AID-IJC6>3.0.CO;2-#.PubMedView ArticleGoogle Scholar
- Swerdlow AJ, De Stavola BL, Floderus B, Holm NV, Kaprio J, Verkasalo PK, Mack T: Risk factors for breast cancer at young ages in twins: an international population-based study. J Natl Cancer Inst. 2002, 94: 1238-1246.PubMedView ArticleGoogle Scholar
- Pryor M, Slattery ML, Robison LM, Egger M: Adolescent diet and breast cancer in Utah. Cancer Res. 1989, 49: 2161-2167.PubMedGoogle Scholar
- Franceschi S, Favero A, La Vecchia C, Baron AE, Negri E, Dal Maso L, Giacosa A, Montella M, Conti E, Amadori D: Body size indices and breast cancer risk before and after menopause. Int J Cancer. 1996, 67: 181-186. 10.1002/(SICI)1097-0215(19960717)67:2<181::AID-IJC5>3.0.CO;2-P.PubMedView ArticleGoogle Scholar
- Coates RJ, Uhler RJ, Hall HI, Potischman N, Brinton LA, Ballard-Barbash R, Gammon MD, Brogan DR, Daling JR, Malone KE, et al: Risk of breast cancer in young women in relation to body size and weight gain in adolescence and early adulthood. Br J Cancer. 1999, 81: 167-174. 10.1038/sj.bjc.6690667.PubMedPubMed CentralView ArticleGoogle Scholar
- Sanderson M, Shu XO, Jin F, Dai Q, Ruan Z, Gao YT, Zheng W: Weight at birth and adolescence and premenopausal breast cancer risk in a low-risk population. Br J Cancer. 2002, 86: 84-88. 10.1038/sj.bjc.6600009.PubMedPubMed CentralView ArticleGoogle Scholar
- Le Marchand L, Kolonel LN, Earle ME, Mi MP: Body size at different periods of life and breast cancer risk. Am J Epidemiol. 1988, 128: 137-152.PubMedGoogle Scholar
- Hilakivi-Clarke L, Forsen T, Eriksson JG, Luoto R, Tuomilehto J, Osmond C, Barker DJ: Tallness and overweight during childhood have opposing effects on breast cancer risk. Br J Cancer. 2001, 85: 1680-1684. 10.1054/bjoc.2001.2109.PubMedPubMed CentralView ArticleGoogle Scholar
- Berkey CS, Frazier AL, Gardner JD, Colditz GA: Adolescence and breast carcinoma risk. Cancer. 1999, 85: 2400-2409. 10.1002/(SICI)1097-0142(19990601)85:11<2400::AID-CNCR15>3.0.CO;2-O.PubMedView ArticleGoogle Scholar
- Weiderpass E, Braaten T, Magnusson C, Kumle M, Vainio H, Lund E, Adami HO: A prospective study of body size in different periods of life and risk of premenopausal breast cancer. Cancer Epidemiol Biomarkers Prev. 2004, 13: 1121-1127.PubMedGoogle Scholar
- Ahlgren M, Melbye M, Wohlfahrt J, Sorensen TI: Growth patterns and the risk of breast cancer in women. N Engl J Med. 2004, 351: 1619-1626. 10.1056/NEJMoa040576.PubMedView ArticleGoogle Scholar
- Russo J, Tay LK, Russo IH: Differentiation of the mammary gland and susceptibility to carcinogenesis. Breast Cancer Res Treat. 1982, 2: 5-73.PubMedView ArticleGoogle Scholar
- Russo J, Gusterson BA, Rogers AE, Russo IH, Wellings SR, van Zwieten MJ: Comparative study of human and rat mammary tumorigenesis. Lab Invest. 1990, 62: 244-278.PubMedGoogle Scholar
- Colditz GA, Frazier AL: Models of breast cancer show that risk is set by events of early life: prevention efforts must shift focus. Cancer Epidemiol Biomarkers Prev. 1995, 4: 567-571.PubMedGoogle Scholar
- Stampfer MJ, Willett WC, Speizer FE, Dysert DC, Lipnick R, Rosner B, Hennekens CH: Test of the National Death Index. Am J Epidemiol. 1984, 119: 837-839.PubMedGoogle Scholar
- Weiss HA, Brinton LA, Brogan D, Coates RJ, Gammon MD, Malone KE, Schoenberg JB, Swanson CA: Epidemiology of in situ and invasive breast cancer in women aged under 45. Br J Cancer. 1996, 73: 1298-1305.PubMedPubMed CentralView ArticleGoogle Scholar
- Kerlikowske K, Barclay J, Grady D, Sickles EA, Ernster V: Comparison of risk factors for ductal carcinoma in situ and invasive breast cancer. J Natl Cancer Inst. 1997, 89: 76-82.PubMedView ArticleGoogle Scholar
- Trentham-Dietz A, Newcomb PA, Storer BE, Remington PL: Risk factors for carcinoma in situ of the breast. Cancer Epidemiol Biomarkers Prev. 2000, 9: 697-703.PubMedGoogle Scholar
- Stunkard AJ, Sorensen T, Schulsinger F: Use of the Danish Adoption Register for the study of obesity and thinness. The Genetics of Neurological and Psychiatric Disorders. Edited by: Kety SS, Rowland LP, Sidman SW, Mathysee SW. 1983, New York City: Raven Press, 115-120.Google Scholar
- Must A, Willett WC, Dietz WH: Remote recall of childhood height, weight, and body build by elderly subjects. Am J Epidemiol. 1993, 138: 56-64.PubMedGoogle Scholar
- Munoz KA, Ballard-Barbash R, Graubard B, Swanson CA, Schairer C, Kahle LL: Recall of body weight and body size estimation in women enrolled in the breast cancer detection and demonstration project (BCDDP). Int J Obes Relat Metab Disord. 1996, 20: 854-859.PubMedGoogle Scholar
- Koprowski C, Coates RJ, Bernstein L: Ability of young women to recall past body size and age at menarche. Obes Res. 2001, 9: 478-485.PubMedView ArticleGoogle Scholar
- Tehard B, van Liere MJ, Com Nougue C, Clavel-Chapelon F: Anthropometric measurements and body silhouette of women: validity and perception. J Am Diet Assoc. 2002, 102: 1779-1784. 10.1016/S0002-8223(02)90381-0.PubMedPubMed CentralView ArticleGoogle Scholar
- Must A, Phillips SM, Naumova EN, Blum M, Harris S, Dawson-Hughes B, Rand WM: Recall of early menstrual history and menarcheal body size: after 30 years, how well do women remember?. Am J Epidemiol. 2002, 155: 672-679. 10.1093/aje/155.7.672.PubMedView ArticleGoogle Scholar
- WC Willett: Anthropometric measures and body composition. Nutritional Epidemiology. Edited by: Willett WC. 1998, New York, NY: Oxford University Press, 244-272. 2Google Scholar
- Stoll BA, Vatten LJ, Kvinnsland S: Does early physical maturity influence breast cancer risk?. Acta Oncol. 1994, 33: 171-176.PubMedView ArticleGoogle Scholar
- Baer HJ, Schnitt SJ, Connolly JL, Byrne C, Cho E, Willett WC, Colditz GA: Adolescent diet and incidence of proliferative benign breast disease. Cancer Epidemiol Biomarkers Prev. 2003, 12: 1159-1167.PubMedGoogle Scholar
- Frazier AL, Li L, Cho E, Willett WC, Colditz GA: Adolescent diet and risk of breast cancer. Cancer Causes Control. 2004, 15: 73-82. 10.1023/B:CACO.0000016617.57120.df.PubMedView ArticleGoogle Scholar
- Stuart HC, Reed RB: Longitudinal studies of child health and development. Harvard School of Public Health. Series II, No. 1. Description of project. Pediatrics. 1959, 24: 875-885.PubMedGoogle Scholar
- Caprio S, Hyman LD, Limb C, McCarthy S, Lange R, Sherwin RS, Shulman G, Tamborlane WV: Central adiposity and its metabolic correlates in obese adolescent girls. Am J Physiol. 1995, 269: E118-E126.PubMedGoogle Scholar
- Caprio S, Bronson M, Sherwin RS, Rife F, Tamborlane WV: Co-existence of severe insulin resistance and hyperinsulinaemia in pre-adolescent obese children. Diabetologia. 1996, 39: 1489-1497. 10.1007/s001250050603.PubMedView ArticleGoogle Scholar
- Stoll BA: Teenage obesity in relation to breast cancer risk. Int J Obes Relat Metab Disord. 1998, 22: 1035-1040. 10.1038/sj.ijo.0800769.PubMedView ArticleGoogle Scholar
- Stoll BA: Western diet, early puberty, and breast cancer risk. Breast Cancer Res Treat. 1998, 49: 187-193. 10.1023/A:1006003110909.PubMedView ArticleGoogle Scholar
- Wabitsch M, Hauner H, Heinze E, Bockmann A, Benz R, Mayer H, Teller W: Body fat distribution and steroid hormone concentrations in obese adolescent girls before and after weight reduction. J Clin Endocrinol Metab. 1995, 80: 3469-3475. 10.1210/jc.80.12.3469.PubMedGoogle Scholar
- de Ridder CM, Bruning PF, Zonderland ML, Thijssen JH, Bonfrer JM, Blankenstein MA, Huisveld IA, Erich WB: Body fat mass, body fat distribution, and plasma hormones in early puberty in females. J Clin Endocrinol Metab. 1990, 70: 888-893.PubMedView ArticleGoogle Scholar
- de Ridder CM, Thijssen JH, Bruning PF, Van den Brande JL, Zonderland ML, Erich WB: Body fat mass, body fat distribution, and pubertal development: a longitudinal study of physical and hormonal sexual maturation of girls. J Clin Endocrinol Metab. 1992, 75: 442-446. 10.1210/jc.75.2.442.PubMedGoogle Scholar
- Apter D, Butzow T, Laughlin GA, Yen SS: Metabolic features of polycystic ovary syndrome are found in adolescent girls with hyperandrogenism. J Clin Endocrinol Metab. 1995, 80: 2966-2973. 10.1210/jc.80.10.2966.PubMedGoogle Scholar
- Apter D, Vihko R: Endocrine determinants of fertility: serum androgen concentrations during follow-up of adolescents into the third decade of life. J Clin Endocrinol Metab. 1990, 71: 970-974.PubMedView ArticleGoogle Scholar
- Rich-Edwards JW, Goldman MB, Willett WC, Hunter DJ, Stampfer MJ, Colditz GA, Manson JE: Adolescent body mass index and infertility caused by ovulatory disorder. Am J Obstet Gynecol. 1994, 171: 171-177.PubMedView ArticleGoogle Scholar
- Garland M, Hunter DJ, Colditz GA, Manson JE, Stampfer MJ, Spiegelman D, Speizer F, Willett WC: Menstrual cycle characteristics and history of ovulatory infertility in relation to breast cancer risk in a large cohort of US women. Am J Epidemiol. 1998, 147: 636-643.PubMedView ArticleGoogle Scholar
- Nagasawa H, Yanai R, Shodono M, Nakamura T, Tanabe Y: Effect of neonatally administered estrogen or prolactin on normal and neoplastic mammary growth and serum estradiol-17 beta level in rats. Cancer Res. 1974, 34: 2643-2646.PubMedGoogle Scholar
- Grubbs CJ, Farnell DR, Hill DL, McDonough KC: Chemoprevention of N-nitroso-N-methylurea-induced mammary cancers by pretreatment with 17 beta-estradiol and progesterone. J Natl Cancer Inst. 1985, 74: 927-931.PubMedGoogle Scholar
- Kovacs K: Effect of androgenisation on the development of mammary tumours in rats induced by the oral administration of 9,10-dimethyl-1,2-benzanthracene. Br J Cancer. 1965, 19: 531-537.PubMedPubMed CentralView ArticleGoogle Scholar
- Shellabarger CJ, Soo VA: Effects of neonatally administered sex steroids on 7,12-dimethylbenz(a)anthracene-induced mammary neoplasia in rats. Cancer Res. 1973, 33: 1567-1569.PubMedGoogle Scholar
- Hilakivi-Clarke L, Onojafe I, Raygada M, Cho E, Skaar T, Russo I, Clarke R: Prepubertal exposure to zearalenone or genistein reduces mammary tumorigenesis. Br J Cancer. 1999, 80: 1682-1688. 10.1038/sj.bjc.6690584.PubMedPubMed CentralView ArticleGoogle Scholar
- Hilakivi-Clarke L: Estrogens, BRCA1, and breast cancer. Cancer Res. 2000, 60: 4993-5001.PubMedGoogle Scholar
- Hilakivi-Clarke L, Cabanes A, Olivo S, Kerr L, Bouker KB, Clarke R: Do estrogens always increase breast cancer risk?. J Steroid Biochem Mol Biol. 2002, 80: 163-174. 10.1016/S0960-0760(01)00184-4.PubMedView ArticleGoogle Scholar
- Wee CC, McCarthy EP, Davis RB, Phillips RS: Screening for cervical and breast cancer: is obesity an unrecognized barrier to preventive care?. Ann Intern Med. 2000, 132: 697-704.PubMedView ArticleGoogle Scholar
- Must A, Jacques PF, Dallal GE, Bajema CJ, Dietz WH: Long-term morbidity and mortality of overweight adolescents. A follow-up of the Harvard Growth Study of 1922 to 1935. N Engl J Med. 1992, 327: 1350-1355.PubMedView ArticleGoogle Scholar