91008461173Cancer Causes ControlCancer Causes ControlCancer causes & control : CCC0957-52431573-722524113797388672210.1007/s10552-013-0302-1NIHMS531103ArticleBody size in early life and breast cancer risk in African American and European American womenBanderaElisa V.12ChandranUrmila12ZirpoliGary3CiupakGregory3BovbjergDana H.4JandorfLina5PawlishKaren6FreudenheimJo L.7AmbrosoneChristine B.3Rutgers Cancer Institute of New Jersey, 195 Little Albany St, New Brunswick, NJ 08903Rutgers School of Public Health, 683 Hoes Lane West, Piscataway, NJ 08854Department of Cancer Prevention & Control, Roswell Park Cancer Institute, Elm & Carlton Sts, Buffalo, NY 14263University of Pittsburgh Cancer Institute, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232Icahn School of Medicine at Mount Sinai, 1428 Madison Ave, New York, NY 10029New Jersey State Cancer Registry, New Jersey Department of Health, Trenton, NJ 08625Department of Social and Preventive Medicine, University at Buffalo, 270 Farber Hall, Buffalo, NY 14260-1660Corresponding author: Dr. Elisa V. Bandera, Rutgers Cancer Institute of New Jersey, 195 Little Albany St., New Brunswick, NJ 08903, elisa.bandera@rutgers.edu251120131010201312201301122014241222312243Purpose

There is growing evidence that body size in early life influences lifetime breast cancer risk, but little is known for African American (AA) women.

Methods

We evaluated body size during childhood and young adulthood and breast cancer risk among 1,751 cases [979 AA and 772 European American (EA)] and 1,673 controls (958 AA and 715 EA) in the Women’s Circle of Health Study. Odds ratio (OR) and 95% confidence intervals (CI) were computed using logistic regression models while adjusting for potential covariates.

Results

Among AA women, being shorter at 7–8 y compared to peers was associated with increased postmenopausal breast cancer risk (OR: 1.68, 95% CI: 1.02–2.74), and being heavier at menarche with decreased postmenopausal breast cancer risk, although of borderline significance (OR: 0.45, 95% CI: 0.20–1.02). For EA women, being shorter from childhood through adolescence, particularly at menarche, was associated with reduced premenopausal breast cancer risk (OR: 0.55, 95% CI: 0.31–0.98). After excluding hormone replacement therapy users, an inverse association with postmenopausal breast cancer was found among EA women reporting to be heavier than their peers at menarche (OR: 0.18, 95% CI: 0.04–0.79). The inverse relationship between BMI at age 20 and breast cancer risk was stronger and only statistically significant in EA women. No clear association with weight gain since age 20 was found.

Conclusions

Findings suggest that the impact of childhood height on breast cancer risk may differ for EA and AA women and confirm the inverse association previously reported in EA populations with adolescent body fatness, in AA women.

Breast cancerAfrican Americanchildhoodadolescenceyoung adultBMI
Introduction

There is growing interest in the role of early life factors on breast cancer etiology, with strong experimental and epidemiologic evidence indicating that the time from peri-puberty to first childbirth is a critical period of susceptibility for breast cancer (1). During this period, the mammary gland is undergoing rapid division, which increases the opportunity for DNA damage and mutations (2). Furthermore, the mammary gland is not fully differentiated until the first full term pregnancy, which makes it more susceptible to carcinogens (3). Epidemiologic studies have generally found that greater adolescent height, growth rate, and final height are associated with increased lifetime breast cancer risk, while a higher body mass during adolescence and young adulthood is associated with lower lifetime risk (46). Weight gain since young adulthood has also been generally shown to increase postmenopausal breast cancer risk (7). However, the overall body of evidence for the role of body mass over the life-course is largely based on studies in European American (EA) women, with little known for African American (AA) women.

Obesity is currently a major public health concern in the United States, but particularly for AA women because of the much higher prevalence of overweight and obesity both in AA children and adults compared to white women. According to NHANES 2009–2010 data, 82.1% of Black women (vs. 59.5% of white women) (8) and 41.3% of Black girls (vs. 25.6% of white girls) were overweight or obese (9). At the same time, breast cancer in AA women tends to occur at an earlier age and to have more aggressive features associated with poor prognosis (10, 11), and some differences in the epidemiology of the disease have been noted between AA and EA women (12). The few studies that evaluated the impact of adult obesity on breast cancer risk in AA women have suggested that a higher body mass index may play a different role than in EAs, with most studies showing no association for adult BMI (13, 14). Only four studies have previously evaluated the role of BMI as a young adult on breast cancer risk in AA women, with inconclusive results (1520).

The aims of this study were to evaluate the impact of body size at age 7–8 years, at menarche, at ages 15–16 years and young adulthood, as well as weight changes during adulthood on breast cancer risk among AA and EA women participating in the Women’s Circle of Health Study. To our knowledge, this is the first study evaluating the impact of perceived body size during childhood and adolescence on breast cancer risk in AA women.

MethodsStudy population

The Women’s Circle of Health Study (WCHS) has been described elsewhere (21). In brief, the WCHS is a case-control study in New York City (NYC) and New Jersey (NJ). Cases were self-identified AA and Caucasian women, 20–75 years, able to complete an interview in English, with no previous history of cancer other than non-melanoma skin cancer, and with newly diagnosed, histologically confirmed ductal carcinoma in situ (DCIS) or invasive breast cancer, stage I-IV. Controls had no history of cancer other than non-melanoma skin cancer and met the same age and language eligibility criteria as cases. In NYC, recruitment took place between January 2002 and December 2008, with cases identified through the hospitals with the largest referral patterns for AA women. Controls in NYC were recruited using random digit dialing (RDD), with sampling based on the same telephone exchanges as cases receiving medical care at the participating hospitals. Controls were frequency matched to cases by age and race. In NJ, recruitment started in March 2006 and is ongoing. Phase I of the study (WCHS) covered seven counties in NJ and ended in April 2012, with Phase II extending recruitment of AA women to two additional counties for a total of nine counties (WCHS-2). Cases in NJ were identified by rapid case ascertainment conducted by the NJ State Cancer Registry. Controls were initially identified by RDD, frequency matched to cases by age group and county of residence. We complemented RDD to recruit AA controls in NJ using community-based recruitment. This was facilitated by working closely with AA breast cancer advocates, AA churches, senior citizen centers, and cancer support organizations such as the American Cancer Society. The community recruitment process and representativeness of the control group have been described in detail previously (22). For this analysis, we included women recruited up to December 2012.

Data collection

After confirming eligibility, an in-person interview was scheduled using the same training manual, methods and study materials at the two recruiting sites. The mean time between diagnosis and interview was 8.5 months. At the interview, informed consent, including a release to obtain medical records, pathology records, and tissue blocks from treating hospitals, was obtained. Several questionnaires were completed then, and body measurements and a saliva sample collected. The questionnaires included questions on established and suspected risk factors for breast cancer, including family and reproductive history, hormone use, alcohol intake, smoking, and occupational history. The questionnaire also assessed perceived weight (thinnest, much thinner, somewhat thinner, about the same, somewhat heavier, much heavier, heaviest) and height (shortest, much shorter, somewhat shorter, about the same, somewhat taller, much taller, and tallest) at age 7–8 years, at menarche, and 15–16 years, compared to other girls of the same age, based on questions from the Women’s Interview Study of Health (23). Height and weight at age 20 years and one year before the reference date (date of diagnosis for cases and comparable date for controls) were also obtained. A food frequency questionnaire was used to assess dietary intake one year before the reference date.

Anthropometric measurements were taken at the interview. Height was measured once to the nearest 0.1 cm, and two measurements for waist and hip circumferences were obtained to the nearest 0.1 cm. Waist measurement was taken using a measuring tape around the waist covering the umbilicus, while hip measurement involved placing the measuring tape at the maximum extension of the buttocks in a horizontal plane. Body composition measures (lean and fat mass, percent body fat) were obtained by bioelectrical impedance analysis using a Tanita® TBF-300A scale. Weight was also obtained with the Tanita scale. Information on tumor hormone receptor status was abstracted from pathology reports received from the hospitals where surgeries were performed.

The study was approved by the Institutional Review Boards at the Cancer Institute of New Jersey (now Rutgers Cancer Institute of New Jersey), Mount Sinai School of Medicine (now the Icahn School of Medicine at Mount Sinai), the referring hospitals in NYC, and Roswell Park Cancer Institute and all participants provided written informed consent before participating in the study. A total of 1,751 cases (979 AA and 772 EA) and 1,673 controls (958 AA and 715 EA) completed the interview.

Statistical analyses

BMI was computed as weight in kilograms (kg) divided by the square of height in meters (m) and categorized according to the World Health Organization (WHO) International Classification. For analysis regarding weight gain we used race specific quantiles, with cutpoints based on the distribution of controls, as the distribution was considerably different in the two groups. We used the same cutpoints in pre- and postmenopausal women to be able to compare risk estimates across categories in the AA and EA groups.

Mean values for weight at age 20 and weight gain since age 20 were compared for AA and EA women using t-tests. Distributions for body size at different ages were compared using Chi-square tests. Multivariable unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI), controlling for relevant confounders. Tests for trend were derived by assigning the median value to each category. Covariates considered included age at reference date, ethnicity (Hispanic vs. not Hispanic), country of origin (United States, Caribbean countries, other), education, family history of breast cancer, history of benign breast disease, age at menarche, age at menopause, parity, breastfeeding (never/ever), age at first birth, hormone replacement therapy use (never/ever), oral contraceptive use (never/ever), and body size at other ages. For example, when evaluating relative weight at childhood and adolescence, we considered BMI at age 20 and current BMI as possible confounders.

We conducted stratified analyses by menopausal status and by major subtypes according to hormone receptor status [estrogen receptor (ER)+/progesterone receptor (PR) + and ER−/PR−]. We also repeated analyses excluding HRT users and cases with non-invasive tumors. Over 95% of the study population was non-Hispanic and therefore, stratified analyses by ethnicity could not be conducted.

SAS version 9.2 (SAS Institute, Cary NC) was used for analysis.

Results

Demographic, reproductive and lifestyle characteristics have been reported elsewhere (24). In summary, EA women tended to have higher levels of education, fewer children, and were less likely to be obese than AA women. Among AA women, cases were more likely to have been older at menopause and to have been HRT users. Among EA women, controls were more likely to have used oral contraceptives and to have breastfed their children. There were no major differences in age at menarche between cases and control in EA or AA women.

The distributions for relative height and weight, BMI at age 20, current BMI, and weight changes by case-control status and AA and EA women are shown in Table 1. There were no major differences in relative height between cases and controls or between AA and EA women. However, cases were more likely to report being thinner than peers compared to controls during the three age periods under evaluation, with the differences being larger and only statistically significant among AA women. On the other hand, both EA and AA cases were less likely to report being overweight and obese at age 20 than controls (p<0.01). For current BMI, while the percentage of AA overweight and obese was considerably higher than that for EA women, distributions were similar in cases and controls in the two groups. Most women reported having gained weight from age 20 to the time of interview, with AA women gaining more weight than EA women. However, there were no major differences in the average weight gained during this time period between cases and controls in either group.

Risk estimates and 95% confidence intervals for relative height and weight at various time points, BMI at age 20, and weight gain since age 20 for AA and EA women by menopausal status are presented in Tables 2 and 3. For AA women (Table 2), when we evaluated childhood and adolescent height and breast cancer risk, we found that, among postmenopausal women, childhood height was associated with increased risk (OR: 1.68; 95% CI: 1.02–2.74) for those reporting to be shortest or much shorter than girls their age when they were 7–8 y, after controlling for BMI at age 20 and other relevant covariates. When we adjusted for weight at age 7–8 y instead of BMI at age 20, risk estimates essentially did not change (data not shown). There was also some suggestion that being heavier during adolescence was associated with reduced postmenopausal breast cancer risk. Although there was a suggestion of an inverse association with BMI at age 20 for both pre- and postmenopausal women, risk estimates were attenuated when we included in the model relative weight and height at menarche and confidence intervals included the null. There was also a suggestion of increased risk with higher weight gain since age 20 for both pre- and postmenopausal women after adjusting for current BMI, but confidence intervals included the null.

For EA women (Table 3), we found a suggestion that being shorter from childhood through adolescence was associated with reduced premenopausal breast cancer risk, with a stronger and significant association for relative height at menarche. Being heavier than other girls at menarche also appeared to reduce postmenopausal breast cancer risk, but after further adjusting for BMI at age 20 y, risk estimates were no longer statistically significant. There was also a suggestion of decreased risk for postmenopausal women reporting to be thinner than their peers. However, BMI at age 20 was strongly inversely associated with breast cancer risk in both pre- and postmenopausal women. There was also a trend of decreased breast cancer risk with higher weight gain among premenopausal women but confidence intervals included the null. Adjusting for current BMI did not have an impact in these analyses in either AA or EA women.

Because other studies have suggested that the association between body fatness and breast cancer may be restricted to non-HRT users (25, 26), we also repeated analyses among postmenopausal women excluding HRT users (Table 4). While results tended to be in the same direction, some of the associations noted above became stronger. For example, the OR was 1.95 (95% CI: 1.12–3.42) for AA women reporting to be shorter than their peers at age 7–8 y. Being heavier at menarche was strongly inversely associated with breast cancer risk for both AA and EA women with ORs of 0.23 (95% CI: 0.08–0.63) and 0.18 (95%: 0.04–0.79), respectively. However, no association was found with weight gain after excluding HRT users. Nevertheless, these analyses should be viewed with caution because they were based on small numbers and require replication.

We also conducted stratified analyses by the most common tumor subtypes according to hormone receptor status: ER+/PR+ and ER-/PR- (data not shown), but no major patterns emerged from these analyses. We also repeated analyses excluding DCIS cases (153 AA and 138 EA) and results were essentially the same.

Discussion

In this study we found that among AA women, among postmenopausal women, being shorter at age 7–8 y compared to peers was associated with increased breast cancer risk, while being heavier during adolescence and young adulthood was inversely associated with risk. For EA women, being shorter from childhood through adolescence, particularly at menarche, was associated with reduced premenopausal breast cancer risk, and, after excluding HRT users, a strong inverse association was found with postmenopausal breast cancer for those reporting to be heavier than their peers at menarche. Although there was a suggestion that BMI at age 20 was inversely related to breast cancer in AA and EA women, the association was stronger and statistically significant only in EA women. We did not find a clear association for weight gain since age 20 in either group. In our study, no clear pattern emerged when we assessed effect modification of pre-adolescent and adolescent body size and weight changes on breast cancer risk by ER/PR status, which has only been previously evaluated in a few studies (2731) with inconsistent results.

There is growing evidence that the timing of exposure is critical in breast cancer etiology, with certain factors, such as estrogens, having different or even opposing effects on breast cancer risk depending on the period when exposure occurs (32). We evaluated risk for several critical periods: age 7–8 y, corresponding in most girls with the period right before thelarche, which marks the onset of puberty; age at menarche, which follows thelarche after a few years; age 15–16 y, at which most girls have attained their final height; and young adulthood. The hormonal processes triggering and regulating these developmental changes are not totally understood, but it is clear that estrogens (33) and Insulin-like Growth Factor (IGF)-1 (34) play critical roles. Associations between childhood and adolescent growth, adiposity, sexual maturation milestones (such as thelarche and menarche), and breast cancer risk are complex. For example, rapid weight gain during childhood typically leads to accelerated growth, and taller girls tend to have an earlier onset of menses, which results, in turn, in accelerated skeletal maturation, and shorter height (34). However, this seems contradictory, as studies have also shown that both an earlier menarche and adult tallness are associated with increased breast cancer risk (3). A key to understanding these complex relationships might be the important influence of growth rate in breast cancer risk. Age at peak growth has been inversely associated with breast cancer risk in Danish women (35), while higher peak height velocity increased breast cancer risk in the Nurses’ Health Study (36). Growth is a dynamic process and one single height measure may be just reflecting early hormonal markers and early life growth rates. Furthermore, adult height reflects in-utero and childhood development events (34), and therefore, the onset of menarche and final height might be serving as markers of early life events affecting breast cancer risk with different endocrine consequences.

One of the most striking findings in our study is the suggestion of opposite effects for childhood height on breast cancer risk in AA and EA women. Our results in EA women were in general agreement with the majority of previous studies in this population, which found decreased risk for shorter relative adolescent stature (37) or increased risk with greater measured height during childhood (35, 38)/adolescence (35, 3840), or with higher peak height velocity (36, 41) or childhood growth rate (38). In contrast, some studies found no association with childhood stature (39, 42). However, our findings of an increased risk for postmenopausal breast cancer associated with shorter stature at age 7–8 y in AA women was unexpected. To our knowledge, this is the first study evaluating childhood and adolescent body size and breast cancer risk in AA women and, therefore, we cannot compare our results with other studies. Nevertheless, previous studies have reported important differences between AA and EA girls in growth and sexual development. For example, AA girls experience earlier onset of thelarche and menarche (43) and advance through the Tanner stages of development at younger ages (31). By age 8 y, 38% of AA girls and only 10% of white girls have reached the onset of puberty, according to data from the Pediatric Research in Office Settings (PROCS) Study (44). Therefore, AA and EA girls may be at different developmental stages at age 7–8 y. Also, height at that age may be reflecting postnatal weight gain, as it has been suggested that height trajectory may be established during the first 2 years of life (45). Furthermore, factors affecting development or serving as markers of the various development stages may differ in AA and EA women. When evaluating predictors of earlier menarche in AA, BMI explained less than 20% of the overall variation in age at menarche, while childhood poverty reduced the age at menarche only in whites but not in AA girls (46). On the other hand, shorter height has been associated with early life experiences of psychological stress (e.g., family tension, divorce, separation or desertion), socioeconomic factors, and chronic illness and infections (47), which may in turn increase breast cancer risk by affecting hormonal and immune factors.

Our study generally supported earlier findings that being overweight in early-life decreases breast cancer risk in EA women (reviewed in (6)), independent of age at menarche and current BMI. To our knowledge, this is the first study evaluating relative weight and height during childhood and at menarche and breast cancer risk in AA women, and we found associations similar to those previously reported in EA (6) and Hispanic women (30, 48).

The inverse association between childhood obesity and breast cancer risk seems to be independent of the age at menarche, as shown in the study by Ahlgren et al. (35) as well as in our study. Overweight adolescent girls, despite having earlier onset of puberty, have been shown to experience slower pubertal growth and sexual maturation (36) and longer time to regular menstrual cycles (49), which may results in more frequent anovulatory cycles and lower exposure to ovarian hormones. While the biological mechanisms are unknown, some investigators have proposed that the inverse association with childhood and adolescent BMI may be mediated by a reduction in IGF-1 levels (50). IGF-1 has been shown to be strongly associated with breast cancer risk (4) and a recent study found that birth weight, body fatness in childhood and BMI at age 18 y were inversely associated with adult IGF-1 levels (50). It has also been suggested that exposure to estrogens at this early age may induce differentiation of the breast epithelium (40).

The association of breast cancer risk with BMI in young adulthood (18–21 yrs) has been evaluated in a few studies, mostly conducted in EA women, with inconsistent results. An inverse association in EA was reported in the Nurses’ Health Study for premenopausal breast cancer (27) and in the NIH-AARP Diet and Health Study for postmenopausal women (51), but no association with breast cancer was found in other studies (19, 30, 52, 53). For AA women, after excluding HRT users and adjusting for current BMI, there was no evidence of an association. Results from the few previous studies that evaluated BMI at ages 18–21 yrs and breast cancer risk in AA women are inconsistent, with some finding an inverse association for pre- and postmenopausal women (17), for pre-menopausal women (18) or no association (15, 16, 19, 20).

An association between weight gain and postmenopausal breast cancer has been fairly consistently reported in previous studies, largely conducted in EA women (7). In contrast, we found no evidence that weight gain since young adulthood increased risk in EA or AA women after we adjusted for current BMI and excluded HRT users. No association with weight gain in AA women was also reported in the Black Women’s Health Study (17) or in the Women’s CARE Study (18). In contrast, increased risk for postmenopausal AA and EA women was found in the Multiethnic Cohort (20).

A limitation of the current study is that data on body size in childhood, adolescence and young adulthood as well as weight changes were based on self-report and recall, employing face valid questions from the Women’s Interview Study of Health (23). As a result, there may be both inaccuracies in recall of the body measures as well as possible differential error for cases and controls. Furthermore, we collected data on relative body size at childhood, menarche, and adolescence compared to other girls of the same age, rather than actual body measures. This method has been shown to be more accurate than ascertaining actual weight and height in the distant past, which varies much from year to year during pubertal growth (54). Moreover, a strong correlation has been reported between long-term recall of perceived body size at menarche and weight and height at menarche collected in monthly questionnaires from mothers approximately 30 years earlier (Spearman’s r=0.6, p<0.01) (54). Another study also found a strong correlation between long-term recall of body size and actual weight during adolescence (Pearson’s r=0.87) (55). However, the validity of recall in AA women or whether recall differs in cases and controls has not been determined, therefore, the possibility of recall bias remains. Nevertheless, several studies that measured height and weight during childhood or adolescence (rather than basing body size on recall) among EA also found that higher body mass was associated with lower breast cancer risk (35, 38, 40, 42).

Conclusions

Our study suggested that childhood height may play a different role in breast cancer risk in EA and AA women. These novel findings warrant further research, particularly with a more detailed and longitudinal evaluation of growth rates through the early childhood and pubertal periods. The current evidence suggests that higher adiposity during early years and young adulthood may decrease breast cancer risk, which is of interest in providing insight into the etiology of breast cancer. Nonetheless, because childhood obesity tends to persist in adulthood (56) and adult obesity has been associated with increased risk of type II diabetes, cardiovascular disease (57), and several types of cancer (58), maintaining a healthy weight throughout the life-course should be a goal for overall health.

This work was supported by grants from the US Army Medical Research and Material Command (DAMD-17-01-1-0334), the National Cancer Institute (R01 CA100598,P01 CA151135, K22 CA138563, P30CA072720, P30 CA016056), the Breast Cancer Research Foundation and a gift from the Philip L Hubbell family. The New Jersey State Cancer Registry (NJSCR) is a participant in the Centers for Disease Control and Prevention’s National Program of Cancer Registries and is a National Cancer Institute Surveillance, Epidemiology, and End Results (SEER) Expansion Registry. The NJSCR is supported by the Centers for Disease Control and Prevention under cooperative agreement 1US58DP003931-01 awarded to the New Jersey Department of Health. The collection of New Jersey cancer incidence data is also supported by the National Cancer Institute’s SEER Program under contract N01-PC-2010-00027 and the State of New Jersey. The funding agents played no role in design, in the collection, analysis, and interpretation of data, in the writing of the manuscript, or in the decision to submit the manuscript for publication.

We thank the colleagues, physicians and clinical staff in New York and New Jersey who facilitated identification and enrollment of cases into the study: Kandace Amend (i3 Drug Safety), Helena Furberg (Memorial Sloan-Kettering Cancer Center), Thomas Rohan and Joseph Sparano (Albert Einstein College of Medicine), Paul Tartter and Alison Estabrook (St. Luke’s Roosevelt Hospital), James Reilly (Kings County Hospital Center), Benjamin Pace, George Raptis, and Christina Weltz (Mount Sinai School of Medicine), Maria Castaldi (Jacob Medical Center), Sheldon Feldman (New York-Presbyterian), and Margaret Kemeny (Queens Hospital Center). We also thank our research personnel at the Rutgers Cancer Institute of New Jersey, Roswell Park Cancer Institute, Mount Sinai School of Medicine, Rutgers School of Public Health, and the New Jersey State Cancer Registry, as well as our African American breast cancer advocates and community partners, and all the women who generously donated their time to participate in the study.

Conflict of interest: The authors declare that they have no conflict of interest.

List of abbreviationsAA

African ancestry

EA

European ancestry

WCHS

Women’s Circle of Health Study

BMI

body mass index

OR

odds ratio

CI

confidence interval

HRT

hormone replacement therapy

NYC

New York City

NJ

New Jersey

DCIS

ductal carcinoma in situ

RDD

random digit dialing

WHO

World Health Organization

ER

estrogen receptor

PR

progesterone receptor

IGF

insulin growth factor

ColditzGAFrazierAL1995 Models of breast cancer show that risk is set by events of early life: prevention efforts must shift focusCancer Epidemiol Biomarkers Prev4567717549816MichelsKBWillettWC2004 Breast cancer--early life mattersN Engl J Med35116798115483288RuderEHDorganJFKranzSKris-EthertonPMHartmanTJ2008 Examining breast cancer growth and lifestyle risk factors: early life, childhood, and adolescenceClin Breast Cancer83344218757260UauyRSolomonsN2005 Diet, nutrition, and the life-course approach to cancer preventionJ Nutr1352934S45S16382507FormanMRCantwellMMRonckersCZhangY2005 Through the looking glass at early-life exposures and breast cancer riskCancer Invest236092416305989FuemmelerBFPendzichMKTercyakKP2009 Weight, dietary behavior, and physical activity in childhood and adolescence: implications for adult cancer riskObes Facts21798620054223World Cancer Research Fund/American Institute for Cancer Research2010Continuous Update: Project Report Summary. Food, Nutrition, Physical Activity, and the Prevention of Breast CancerLondon, UKWorld Cancer Research Fund InternationalFlegalKMCarrollMDKitBKOgdenCL2012 Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010JAMA307491722253363OgdenCLCarrollMDKitBKFlegalKM2012 Prevalence of obesity and trends in body mass index among US children and adolescents, 1999–2010JAMA3074839022253364AmendKHicksDAmbrosoneCB2006 Breast cancer in African-American women: differences in tumor biology from European-American womenCancer Res6683273016951137DesantisCNaishadhamDJemalA2013Epub ahead of printCancer statistics for African Americans, 2013CA Cancer J ClinMillikanRCNewmanBTseCK2008 Epidemiology of basal-like breast cancerBreast Cancer Res Treat1091233917578664ChandranUHirshfieldKMBanderaEV2012 The role of anthropometric and nutritional factors on breast cancer risk in African-American womenPublic Health Nutr157384822122844SextonKRFranziniLDayRSBrewsterAVernonSWBondyML2011 A review of body size and breast cancer risk in Hispanic and African American womenCancer11752718121598244MayberryRM1994 Age-specific patterns of association between breast cancer and risk factors in black women, ages 20 to 39 and 40 to 54Annals of epidemiology4205138055121ZhuKCaulfieldJHunterSRolandCLPayne-WilksKTexterL2005 Body mass index and breast cancer risk in African American womenAnnals of epidemiology15123815652717PalmerJRAdams-CampbellLLBoggsDAWiseLARosenbergL2007 A prospective study of body size and breast cancer in black womenCancer Epidemiol Biomarkers Prev16179580217855697BerstadPCoatesRJBernsteinL2010 A case-control study of body mass index and breast cancer risk in white and African-American womenCancer Epidemiol Biomarkers Prev1915324420501755JohnEMSangaramoorthyMPhippsAIKooJHorn-RossPL2011 Adult body size, hormone receptor status, and premenopausal breast cancer risk in a multiethnic population: the San Francisco Bay Area breast cancer studyAm J Epidemiol1732011621084558WhiteKKParkSYKolonelLNHendersonBEWilkensLR2012 Body size and breast cancer risk: the Multiethnic CohortInt J Cancer131E7051622120517AmbrosoneCBCiupakGLBanderaEV2009 Conducting Molecular Epidemiological Research in the Age of HIPAA: A Multi-Institutional Case-Control Study of Breast Cancer in African-American and European-American WomenJ Oncol200987125019865486BanderaEVChandranUZirpoliGMcCannSECiupakGAmbrosoneCB2013 Rethinking sources of representative controls for the conduct of case-control studies in minority populationsBMC Med Res Methodol137123721229BrintonLASwansonCA1992 Height and weight at various ages and risk of breast cancerAnnals of epidemiology25976091342311GongZAmbrosoneCBMcCannSE2013 Associations of dietary folate, vitamin B6, B12 and methionine intake with risk of breast cancer among African American (AA) and European American (EA) womenInt J Cancervan den BrandtPASpiegelmanDYaunSS2000 Pooled analysis of prospective cohort studies on height, weight, and breast cancer riskAm J Epidemiol1525142710997541MorimotoLMWhiteEChenZ2002 Obesity, body size, and risk of postmenopausal breast cancer: the Women’s Health Initiative (United States)Cancer Causes Control137415112420953MichelsKBTerryKLWillettWC2006 Longitudinal study on the role of body size in premenopausal breast cancerArch Intern Med166239540217130395BardiaAVachonCMOlsonJE2008 Relative weight at age 12 and risk of postmenopausal breast cancerCancer Epidemiol Biomarkers Prev17374818250344BaerHJTworogerSSHankinsonSEWillettWC2010 Body fatness at young ages and risk of breast cancer throughout lifeAm J Epidemiol17111839420460303SlatteryMLSweeneyCEdwardsS2007 Body size, weight change, fat distribution and breast cancer risk in Hispanic and non-Hispanic white womenBreast Cancer Res Treat1028510117080310HuiSLPerkinsAJHarezlakJPeacockMMcClintockCLJohnstonCCJr2010 Velocities of bone mineral accrual in black and white American childrenJ Bone Miner Res2515273520200959Hilakivi-ClarkeLChoEde AssisS2001 Maternal and prepubertal diet, mammary development and breast cancer riskJ Nutr131154S7S11208953CarelJCLahlouNRogerMChaussainJL2004 Precocious puberty and statural growthHum Reprod Update101354715073143OkashaMGunnellDHollyJDavey SmithG2002 Childhood growth and adult cancerBest Pract Res Clin Endocrinol Metab162254112064890AhlgrenMMelbyeMWohlfahrtJSorensenTI2006Growth patterns and the risk of breast cancer in womenInt J Gynecol Cancer16Suppl 25697517010075BerkeyCSFrazierALGardnerJDColditzGA1999 Adolescence and breast carcinoma riskCancer852400910357411CoatesRJUhlerRJHallHI1999 Risk of breast cancer in young women in relation to body size and weight gain in adolescence and early adulthoodBr J Cancer811677410487629De StavolaBLdos Santos SilvaIMcCormackVHardyRJKuhDJWadsworthME2004 Childhood growth and breast cancerAm J Epidemiol1596718215033645HerrintonLJHussonG2001 Relation of childhood height and later risk of breast cancerAm J Epidemiol1546182311581095Hilakivi-ClarkeLForsenTErikssonJG2001 Tallness and overweight during childhood have opposing effects on breast cancer riskBr J Cancer851680411742488LiCIMaloneKEWhiteEDalingJR1997 Age when maximum height is reached as a risk factor for breast cancer among young U.S. womenEpidemiology8559659270959Le MarchandLKolonelLNEarleMEMiMP1988 Body size at different periods of life and breast cancer riskAm J Epidemiol128137523381822BiroFMHuangBCrawfordPB2006 Pubertal correlates in black and white girlsJ Pediatr1482344016492435Herman-GiddensMEKaplowitzPBWassermanR2004Navigating the recent articles on girls’ puberty in Pediatrics: what do we know and where do we go from here?Pediatrics113911715060243DungerDBAhmedMLOngKK2005Effects of obesity on growth and pubertyBest Pract Res Clin Endocrinol Metab193759016150381ReaganPBSalsberryPJFangMZGardnerWPPajerK2012 African-American/white differences in the age of menarche: accounting for the differenceSoc Sci Med7512637022726619BattyGDShipleyMJGunnellD2009 Height, wealth, and health: an overview with new data from three longitudinal studiesEcon Hum Biol71375219628438SangaramoorthyMPhippsAIHorn-RossPLKooJJohnEM2011 Early-life factors and breast cancer risk in Hispanic women: the role of adolescent body sizeCancer Epidemiol Biomarkers Prev2025728222056503TehardBKaaksRClavel-ChapelonF2005 Body silhouette, menstrual function at adolescence and breast cancer risk in the E3N cohort studyBr J Cancer922042815928661PooleEMTworogerSSHankinsonSESchernhammerESPollakMNBaerHJ2011 Body size in early life and adult levels of insulin-like growth factor 1 and insulin-like growth factor binding protein 3Am J Epidemiol1746425121828371AhnJSchatzkinALaceyJVJr2007 Adiposity, adult weight change, and postmenopausal breast cancer riskArch Intern Med167209110217954804WeiderpassEBraatenTMagnussonC2004 A prospective study of body size in different periods of life and risk of premenopausal breast cancerCancer Epidemiol Biomarkers Prev131121715247122Trentham-DietzANewcombPAStorerBE1997 Body size and risk of breast cancerAm J Epidemiol145101199169910MustAPhillipsSMNaumovaEN2002Recall of early menstrual history and menarcheal body size: after 30 years, how well do women remember?Am J Epidemiol155672911914195CaseyVADwyerJTBerkeyCSColemanKAGardnerJValadianI1991Long-term memory of body weight and past weight satisfaction: a longitudinal follow-up studyAm J Clin Nutr53149382035478DixonBPenaMMTaverasEM2012 Lifecourse approach to racial/ethnic disparities in childhood obesityAdv Nutr3738222332105OgdenCLYanovskiSZCarrollMDFlegalKM2007 The epidemiology of obesityGastroenterology132208710217498505World Cancer Research Fund/American Institute for Cancer Research2007Food, Nutrition, Physical Activity and the Prevention of Cancer: A Global PerpectiveWashington, DCAICR

Body size in early life among participants in the Women’s Circle of Health Study.

AA women (n=1937)
EA women (n=1487)
CasesControlsp valueCasesControlsp value

n (%)n (%)n (%)n (%)
Relative height at age 7 or 8*0.200.27
 Shortest61 (6.3)46 (4.8)41 (5.3)59 (8.3)
 Much shorter26 (2.7)22 (2.3)35 (4.6)33 (4.6)
 Somewhat shorter98 (10)123 (12.8)93 (12.1)95 (13.3)
 About the same525 (53.8)540 (56.4)350 (45.5)296 (41.5)
 Somewhat taller128 (13.1)113 (11.8)141 (18.3)119 (16.7)
 Much taller45 (4.6)37 (3.9)53 (6.9)53 (7.4)
 Tallest93 (9.5)77 (8)57 (7.4)59 (8.3)
Relative height at menarche*0.200.12
 Shortest46 (4.7)39 (4.1)26 (3.4)40 (5.6)
 Much shorter27 (2.8)21 (2.2)27 (3.5)26 (3.6)
 Somewhat shorter102 (10.5)118 (12.3)100 (13)111 (15.6)
 About the same528 (54.1)535 (56)360 (46.8)312 (43.7)
 Somewhat taller134 (13.7)135 (14.1)141 (18.3)116 (16.3)
 Much taller51 (5.2)50 (5.2)66 (8.6)51 (7.1)
 Tallest88 (9)58 (6.1)49 (6.4)58 (8.1)
Relative height at age 15 or 16*0.190.08
 Shortest43 (4.4)37 (3.9)24 (3.1)35 (4.9)
 Much shorter25 (2.6)19 (2.00)32 (4.2)28 (3.9)
 Somewhat shorter112 (11.5)137 (14.3)130 (16.9)152 (21.3)
 About the same575 (58.9)566 (59.1)381 (49.4)315 (44.1)
 Somewhat taller113 (11.6)120 (12.5)118 (15.3)115 (16.1)
 Much taller43 (4.4)31 (3.2)51 (6.6)35 (4.9)
 Tallest66 (6.8)48 (5)35 (4.5)35 (4.9)

Relative weight at age 7 or 8*0.0020.50
 Thinnest85 (8.7)92 (9.6)65 (8.4)55 (7.7)
 Much thinner80 (8.2)53 (5.5)74 (9.6)65 (9.1)
 Somewhat thinner244 (25.1)189 (19.7)161 (20.9)128 (17.9)
 About the same426 (43.7)441 (46)330 (42.8)312 (43.6)
 Somewhat heavier107 (11)143 (14.9)116 (15.1)120 (16.8)
 Much heavier22 (2.3)20 (2.1)20 (2.6)28 (3.9)
 Heaviest10 (1)20 (2.1)5 (0.7)7 (1)
Relative weight at menarche*<0.0010.08
 Thinnest72 (7.4)80 (8.4)46 (6)42 (5.9)
 Much thinner79 (8.1)49 (5.1)59 (7.7)60 (8.4)
 Somewhat thinner217 (22.3)174 (18.2)159 (20.6)126 (17.7)
 About the same461 (47.3)441 (46)345 (44.8)286 (40.1)
 Somewhat heavier121 (12.4)171 (17.9)138 (17.9)168 (23.5)
 Much heavier17 (1.7)28 (2.9)18 (2.3)24 (3.4)
 Heaviest8 (0.8)15 (1.6)6 (0.8)8 (1.1)
Relative weight at 15 or 16*<0.0010.11
 Thinnest62 (6.4)71 (7.4)39 (5.1)38 (5.3)
 Much thinner70 (7.2)40 (4.2)48 (6.2)54 (7.6)
 Somewhat thinner198 (20.3)155 (16.2)167 (21.6)126 (17.6)
 About the same499 (51.1)489 (51)375 (48.6)325 (45.5)
 Somewhat heavier123 (12.6)157 (16.4)121 (15.7)142 (19.9)
 Much heavier18 (1.8)32 (3.3)17 (2.2)23 (3.2)
 Heaviest6 (0.6)14 (1.5)5 (0.7)7 (1)

BMI at age 20 yrs.0.0020.001
 Underweight/Normal (<25)739 (82.6)705 (76.9)699 (93)625 (88.7)
 Overweight (25–29.99)116 (13)139 (15.2)44 (5.9)49 (7)
 Obese (≥30)40 (4.5)73 (8)9 (1.2)31 (4.4)
Current BMI0.990.99
 Underweight/Normal (<25)176 (18)171 (17.9)353 (45.7)328 (45.9)
 Overweight (25–29.99)281 (28.7)274 (28.6)209 (27.1)191 (26.8)
 Obese (≥30)521 (53.3)513 (53.6)210 (27.2)195 (27.3)
Weight change since age 200.750.31
 Lost weight46 (5.2)50 (5.5)87 (11.8)94 (13.6)
 Stable weight0000
 Gained weight846 (94.8)861 (94.5)649 (88.2)596 (86.4)

mean±SDmean±SDmean±SDmean±SD
Weight at age 20 yrs (kg)58.65±11.7161.38±14.30<0.00156.14±7.8357.74±10.340.001
Weight gain since age 20 (kg)26.62±16.1125.96±16.630.4017.75±13.8617.94±14.350.81

compared to peers

Early life body size and breast cancer risk by menopausal status in AA women, Women’s Circle of Health Study.

Pre-menopausal AA women (n=953)
Post-menopausal AA women (n=984)
Cases/ControlsOR195% CIOR295% CICases/ControlsOR195% CIOR295% CI
Relative height at 7 or 8*a
 Shortest/much shorter34/341.290.76–2.201.200.70–2.0753/341.560.96–2.531.681.02–2.74
 Somewhat shorter46/620.920.59–1.440.850.53–1.3752/610.830.54–1.280.920.59–1.43
 About the same248/276REFREF277/264REFREF
 Somewhat taller65/511.520.99–2.321.430.93–2.2263/621.020.68–1.541.070.70–1.63
 Tallest/much taller77/591.440.96–2.151.390.92–2.1061/551.170.77–1.801.160.75–1.79
Relative height at menarche*a
 Shortest/much shorter31/301.150.66–2.001.140.65–2.0042/301.420.84–2.401.510.89–2.57
 Somewhat shorter43/620.830.53–1.310.840.52–1.3459/561.080.70–1.651.180.76–1.82
 About the same249/268REFREF279/267REFREF
 Somewhat taller71/611.340.89–2.001.360.90–2.0663/740.890.60–1.320.910.61–1.37
 Tallest/much taller75/601.330.89–1.991.260.83–1.9164/481.380.89–2.121.360.87–2.11
Relative height at 15 or 16*a
 Shortest/much shorter31/281.270.72–2.241.240.70–2.2137/281.310.76–2.251.440.83–2.51
 Somewhat shorter51/720.840.56–1.280.870.57–1.3461/651.050.70–1.571.160.77–1.76
 About the same271/284REFREF304/282REFREF
 Somewhat taller61/571.260.83–1.921.210.79–1.8752/630.850.56–1.310.870.56–1.36
 Tallest/much taller56/411.370.86–2.171.250.78–2.0253/381.430.89–2.291.400.86–2.26

Relative weight at 7 or 8*a
 Thinnest/much thinner82/711.240.84–1.851.080.71–1.6583/741.130.77–1.661.040.69–1.55
 Somewhat thinner122/1041.220.87–1.721.150.81–1.65122/851.501.06–2.131.441.01–2.07
 About the same195/207REFREF231/234REFREF
 Somewhat heavier51/820.740.48–1.120.750.48–1.1756/610.870.56–1.340.900.57–1.44
 Heaviest/much heavier20/181.250.62–2.521.400.67–2.9212/220.520.24–1.110.540.23–1.29
Relative weight at menarche*a
 Thinnest/much thinner74/591.270.84–1.921.220.79–1.8877/701.060.71–1.570.970.64–1.46
 Somewhat thinner107/911.120.78–1.591.020.70–1.48110/831.290.91–1.851.170.81–1.69
 About the same212/214REFREF249/227REFREF
 Somewhat heavier63/1000.700.47–1.030.710.47–1.0858/710.850.56–1.290.850.54–1.32
 Heaviest/much heavier14/180.860.40–1.830.890.39–2.0011/250.400.18–0.860.450.20–1.02
Relative weight at 15 or 16*a
 Thinnest/much thinner64/541.190.78–1.831.180.75–1.8668/571.200.79–1.821.120.72–1.73
 Somewhat thinner96/791.190.82–1.731.140.77–1.68102/761.390.97–2.001.310.90–1.91
 About the same231/236REFREF268/253REFREF
 Somewhat heavier65/910.770.52–1.130.790.52–1.2058/660.940.62–1.420.930.59–1.48
 Heaviest/much heavier14/220.630.30–1.300.620.28–1.3910/240.420.19–0.920.490.20–1.20

BMI at age 20 yrs.b
 <25347/340REFREF392/365REFREF
 25–29.964/750.890.61–1.311.020.67–1.5652/640.870.57–1.311.010.65–1.58
 ≥3023/470.650.37–1.120.770.42–1.4017/260.650.34–1.250.880.43–1.81
  p for trend0.120.520.160.82
Weight gain since age 20, kgc
 Q 1 (≤13.82)114/130REFREF75/84REFREF
 Q 2 (13.83–23.72)118/1111.150.78–1.681.270.86–1.89115/1061.300.84–2.001.350.87–2.10
 Q 3 (23.73–34.56)93/1020.930.62–1.381.150.73–1.82110/1121.200.77–1.851.290.80–2.09
 Q 4 (>34.56)82/910.960.63–1.471.490.81–2.73139/1251.220.80–1.861.420.80–2.53
  p for trend0.630.270.600.34

compared to peers

OR1: Adjusted for age, ethnicity (Hispanic/non-Hispanic), country of origin, education, family history of breast cancer, history of benign breast disease, age at menarche, age at menopause (for postmenopausal women), parity, breastfeeding status, age at first birth, HRT use, oral contraceptive use.

OR2:

further adjusted for BMI at age 20;

further adjusted for height and weight at menarche;

further adjusted for current BMI

Early life body size and breast cancer risk by menopausal status in EA women, Women’s Circle of Health Study.

Pre-menopausal EA women (n=794)
Post-menopausal EA women (n=693)
Cases/ControlsOR95% CIOR295% CICases/ControlsOR95% CIOR95% CI
Relative height at 7 or 8*a
 Shortest/much shorter41/560.650.40–1.060.630.38–1.0435/361.010.57–1.781.000.56–1.77
 Somewhat shorter51/520.930.58–1.490.900.56–1.4642/430.920.54–1.570.910.53–1.56
 About the same170/151REFREF180/145REFREF
 Somewhat taller76/700.980.64–1.481.000.65–1.5265/491.340.83–2.171.320.81–2.15
 Tallest/much taller62/640.850.55–1.320.820.52–1.3048/481.000.61–1.671.020.61–1.71
Relative height at menarche*a
 Shortest/much shorter26/410.570.32–1.010.550.31–0.9827/251.150.61–2.181.240.65–2.38
 Somewhat shorter46/620.700.44–1.100.660.41–1.0654/491.340.81–2.201.370.83–2.25
 About the same184/160REFREF176/152REFREF
 Somewhat taller77/710.960.64–1.450.960.63–1.4564/451.410.86–2.291.380.84–2.27
 Tallest/much taller65/590.960.62–1.500.930.59–1.4750/501.110.67–1.821.070.64–1.77
Relative height at 15 or 16*a
 Shortest/much shorter29/400.630.36–1.100.610.35–1.0727/231.110.58–2.121.160.60–2.23
 Somewhat shorter62/840.670.45–1.020.650.43–0.9968/681.000.64–1.571.070.68–1.70
 About the same193/168REFREF188/147REFREF
 Somewhat taller66/620.820.53–1.260.780.50–1.2252/530.880.54–1.440.880.54–1.45
 Tallest/much taller50/391.070.65–1.751.050.63–1.7636/311.170.66–2.091.120.62–2.01

Relative weight at 7 or 8*a
 Thinnest/much thinner81/721.080.71–1.641.060.69–1.6258/480.850.51–1.420.700.41–1.18
 Somewhat thinner79/671.220.81–1.841.210.80–1.8482/610.860.55–1.350.720.45–1.14
 About the same169/185REFREF161/127REFREF
 Somewhat heavier58/501.300.82–2.061.490.92–2.4058/700.600.38–0.960.670.41–1.10
 Heaviest/much heavier14/190.860.41–1.840.960.43–2.1211/160.510.21–1.220.720.29–1.84
Relative weight at menarche*a
 Thinnest/much thinner64/650.730.47–1.140.680.43–1.0841/370.660.37–1.160.560.31–1.02
 Somewhat thinner71/710.830.55–1.260.800.52–1.2288/551.140.73–1.801.020.64–1.63
 About the same181/160REFREF164/126REFREF
 Somewhat heavier69/810.780.52–1.180.850.55–1.3169/870.520.33–0.800.600.38–0.95
 Heaviest/much heavier15/160.930.43–2.001.210.53–2.749/160.360.14–0.920.460.16–1.30
Relative weight at 15 or 16*a
 Thinnest/much thinner52/610.640.40–1.020.590.36–0.9635/310.770.42–1.400.660.36–1.23
 Somewhat thinner77/730.930.62–1.390.900.59–1.3590/531.350.87–2.111.230.78–1.95
 About the same196/174REFREF179/151REFREF
 Somewhat heavier63/690.850.56–1.301.020.65–1.6158/730.630.40–1.000.770.47–1.26
 Heaviest/much heavier13/160.780.36–1.711.140.46–2.859/140.470.18–1.220.650.22–1.89

BMI at age 20 yrs.b
 <25357/343REFREF342/282REFREF
 25–29.927/281.060.59–1.890.980.53–1.8217/210.690.33–1.440.820.38–1.77
 ≥305/150.320.11–0.920.290.09–0.864/160.100.03–0.390.150.04–0.60
  p for trend0.110.070.0010.01
Weight gain since age 20, kgc
 Q 1 (≤7.57)93/86REFREF75/63REFREF
 Q 2 (7.58–14.57)85/870.910.58–1.430.880.55–1.4077/620.900.53–1.520.970.56–1.66
 Q 3 (14.58–24.52)75/760.700.43–1.130.640.36–1.1391/730.780.47–1.310.900.52–1.57
 Q 4 (>24.52)63/710.630.37–1.040.510.23–1.1690/780.680.41–1.140.950.46–1.95
  p for trend0.050.100.130.88

compared to peers

OR1: Adjusted for age, ethnicity, country of origin, education, family history of breast cancer, history of benign breast disease, age at menarche, age at menopause (for postmenopausal women), parity, breastfeeding status, age at first birth, HRT use, oral contraceptive use.

OR2:

further adjusted for BMI at age 20;

further adjusted for height and weight at menarche;

further adjusted for current BMI

Early body size and breast cancer risk among AA and EA postmenopausal women (excluding HRT users).

AA (n=752)
EA (n=375)
Cases/ControlsOR95% CIOR295% CICases/ControlsOR95% CIOR95% CI
Relative height at 7 or 8*a
 Shortest/much shorter43/261.841.06–3.171.951.12–3.4220/220.820.38–1.800.760.34–1.69
 Somewhat shorter38/510.760.47–1.240.860.52–1.4222/220.910.42–1.990.870.39–1.92
 About the same201/211REFREF105/78REFREF
 Somewhat taller43/490.900.56–1.460.960.59–1.5731/261.170.59–2.341.170.58–2.37
 Tallest/much taller47/411.380.85–2.261.340.81–2.2124/241.000.48–2.081.030.48–2.19
Relative height at menarche*a
 Shortest/much shorter33/231.680.93–3.031.760.96–3.2016/160.770.32–1.860.800.32–1.99
 Somewhat shorter45/451.050.65–1.701.120.68–1.8427/291.190.59–2.401.120.55–2.28
 About the same202/214REFREF105/78REFREF
 Somewhat taller46/580.870.55–1.380.890.55–1.4228/250.750.37–1.530.700.34–1.44
 Tallest/much taller47/371.480.90–2.451.400.84–2.3327/231.190.58–2.461.050.50–2.21
Relative height at 15 or 16*a
 Shortest/much shorter29/231.450.79–2.651.580.85–2.9417/141.020.42–2.460.990.40–2.42
 Somewhat shorter48/531.050.66–1.661.120.70–1.7937/410.900.47–1.720.940.49–1.81
 About the same219/228REFREF105/76REFREF
 Somewhat taller38/431.010.61–1.671.000.60–1.6925/290.610.30–1.240.610.29–1.26
 Tallest/much taller39/311.480.87–2.531.370.80–2.3719/121.820.75–4.441.690.68–4.21

Relative weight at 7 or 8*a
 Thinnest/much thinner62/561.200.77–1.861.110.70–1.7629/201.190.56–2.530.950.43–2.09
 Somewhat thinner84/701.270.85–1.891.230.81–1.8646/301.070.56–2.050.860.44–1.69
 About the same174/183REFREF90/80REFREF
 Somewhat heavier43/480.870.53–1.410.830.49–1.4032/330.650.34–1.260.710.35–1.44
 Heaviest/much heavier7/210.340.13–0.850.310.11–0.885/90.360.10–1.290.620.15–2.49
Relative weight at menarche*a
 Thinnest/much thinner58/541.140.73–1.791.060.66–1.7122/150.910.39–2.130.780.33–1.89
 Somewhat thinner76/671.190.79–1.801.130.74–1.7248/301.000.52–1.930.850.43–1.67
 About the same186/181REFREF93/70REFREF
 Somewhat heavier45/520.970.60–1.560.890.53–1.4935/450.420.22–0.790.470.23–0.93
 Heaviest/much heavier6/240.230.09–0.600.230.08–0.635/111.180.05–0.620.180.04–0.79
Relative weight at 15 or 16*a
 Thinnest/much thinner50/461.180.73–1.891.110.67–1.8317/140.920.37–2.300.750.29–1.93
 Somewhat thinner73/641.190.78–1.791.150.75–1.7753/281.520.81–2.821.340.70–2.56
 About the same201/198REFREF96/87REFREF
 Somewhat heavier41/500.940.58–1.530.870.51–1.4830/360.590.31–1.160.740.35–1.54
 Heaviest/much heavier7/200.370.15–0.930.390.14–1.097/70.610.18–2.080.930.23–3.81

BMI at age 20 yrs.b
 <25279/286REFREF183/148REFREF
 25–29.946/510.990.63–1.561.250.76–2.0612/100.860.32–2.271.320.47–3.71
 ≥3014/230.680.33–1.381.050.47–2.353/110.060.01–0.400.120.02–0.82
  p for trend0.370.600.0040.09
Weight gain since age 20, kgc
 Q 155/68REFREF41/32REFREF
 Q 281/861.170.71–1.921.210.73–2.0135/300.740.33–1.660.900.39–2.06
 Q 383/901.200.73–1.961.290.75–2.2151/400.690.33–1.450.940.42–2.13
 Q 499/961.210.74–1.951.380.72–2.6455/460.630.30–1.301.260.43–3.69
  p for trend0.520.370.250.59

compared to peers

OR1: Adjusted for age, ethnicity, country of origin, education, family history of breast cancer, history of benign breast disease, age at menarche, age at menopause, parity, breastfeeding status, age at first birth, oral contraceptive use.

OR2:

further adjusted for BMI at age 20;

further adjusted for height and weight at menarche;

further adjusted for current BMI