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Published in final edited form as: J Adolesc Health. 2021 Nov 24;70(3):483–487. doi: 10.1016/j.jadohealth.2021.10.011

The impact of macronutrient intake on sex steroids during onset of puberty

Frank M Biro 1,2, Suzanne S Summer 3, Bin Huang 4,5, Chen Chen 6,7, Janie Benoit 8, Susan M Pinney 9
PMCID: PMC8860866  NIHMSID: NIHMS1750941  PMID: 34836804

Abstract

INTRODUCTION:

Increased fiber intake has been associated with decreased breast cancer risk, while increased animal protein intake with increased risk. The objective of this study was to examine the relationship of dietary fiber and protein intake to estrogen and sex hormone binding globulin (SHBG) concentrations at puberty onset.

METHODS:

These analyses were conducted using the Cincinnati puberty cohort of the Breast Cancer and the Environment Research Program, with girls followed every six months from ages 6 and 7. The analyses included serum measurements at six-month intervals for estrogen and SHBG concentrations, from 18 months prior to breast stage 2 (onset of puberty). Dietary intake was documented via 24-hour dietary recalls every 3 months. Dietary factors of interest included total energy intake; total and animal protein; total, soluble and insoluble fiber; and lignan and flavanol intake.

RESULTS:

This study included 260 participants who generated 871 serum specimens and 3000 days of diet intake. In longitudinal models, estradiol was associated inversely with insoluble fiber intake; estrone positively with animal protein intake; SHBG with greater insoluble fiber and lower total protein intake; and ratio of estrone to SHBG, a measure of bioavailable estrogen, positively with animal protein.

DISCUSSION:

Greater protein intake, especially animal protein, led to greater estrogen concentrations and lower SHBG; greater animal protein and greater caloric intake led to increased bioavailable estrogen. This relationship may have served an evolutionary advantage in the past for greater fertility with adequate high-quality protein; in contemporary women, a modest decrease in animal protein may be beneficial in reducing breast cancer risk.

Keywords: puberty, sex steroids, macronutrients, dietary fiber

Introduction

Increased fiber intake has been associated with decreased breast cancer risk. Two meta-analyses of prospective observational studies noted a 5%−7% decreased risk of breast cancer with every 10 gm/day of increased fiber intake,1,2 and a recent study noted a 14% decreased risk of breast cancer with every 10 gm/day increased fiber intake from adolescent diet patterns recalled at ages 33–52 years.3 The underlying mechanism is uncertain; researchers have proposed that dietary fiber could impact breast cancer risk through decreasing absolute and bioavailable levels of sex steroids through suppression of gonadotropins, decreased circulating estrogen levels or increasing sex hormone–binding globulin (SHBG).410 The majority of studies have investigated adult women. de Ridder6 reported that adolescent girls with lower fiber intake had greater gonadotropin and estradiol levels. As noted, Farvid reported a decreased risk of breast cancer with greater intake of fruit during adolescence and young adult years; this effect was reduced if controlled for fiber consumption.3 There is an inconsistent relationship of dietary fat with risk of breast cancer, although a meta-analysis of case-control studies noted a decreased risk of post-menopausal breast cancer with lower saturated fat intake.11

Conversely, intake of animal protein is associated with a higher risk for breast cancer. In the Women’s Health Initiative, animal protein intake was positively associated, and vegetable protein negatively associated, with breast cancer incidence in post-menopausal women.12 Similarly, the Shanghai Women’s Health Study reported that vegetable protein, specifically soy protein, was associated with lower breast cancer risk in adult women, but they did not report associations with animal protein.13 The Shanghai study also found that soy protein consumed during adolescence was associated with lower risk, but this result was based on adult participants recalling their diet as adolescents.

Earlier pubertal maturation is associated with increased risk for hormonal cancers, such as breast cancer. Separate investigations by Rogers and Koo each reported that higher dietary fiber intake in childhood was associated with later menarche,14,15 while Cheng reported that fiber intake had no impact on pubertal timing.16 Meanwhile, a review of pubertal timing and nutritional factors reported that high animal protein intake in childhood has been shown to accelerate the onset of puberty by as much as 7 months.17 Another study found that animal protein intake is inversely associated with age at time of the pubertal growth spurt and time of peak height velocity.18

The objectives of our study were to examine the relationship of peripubertal dietary factors to estrogen and SHBG concentrations during onset of puberty, in order to understand better the potential mechanism of diet on breast cancer risk.

Methods

The subjects of this study were part of the Cincinnati puberty study cohort of the Breast Cancer and the Environment Research Program. The participants were recruited between 6 and 7 years of age. Pubertal maturation was assessed every 6 months (until attainment of breast stage 5 and pubic hair 5, then annually) by a female physician or advanced practice nurse trained and certified in maturation assessment, as described previously.19 Onset of puberty was defined as age at pubertal breast stage 2 (B2, presence of breast buds), using both inspection and palpation.

The race/ethnicity composition of this sample included 32.7% black participants, 4.2% Hispanic, 0.8% Asian, and 61.9% white non-Hispanic. Because of the small numbers of Hispanic and Asian participants, they were incorporated with black participants for the hormone analyses to form two groups, ‘white’ and ‘non-white’. There was a broad socio-economic representation in the Cincinnati cohort, with 11% of families reporting <$25,000 annual income, 18% reporting $25–50,000, and 31% reporting >$100,000.20

Serum specimens, drawn at every visit, were used for measurements of reproductive hormones from 18 months prior to and through 6 months following onset of B2. Estradiol and estrone were analyzed by high performance liquid chromatography with tandem mass spectrometry, and SHBG was analyzed by automated immunoradiometric assay (IRMA), as described.21 Interassay precision, expressed as percent coefficient of variation for low, medium, and high control serum specimens was 4.9%, 4.6%, 4.7% for estrone; and 4.4%, 3.5%, 3.3% for estradiol. The estrogen to SHBG ratio, used in previous studies, was incorporated as a measure of bioavailable estrogen.22

Trained interviewers made unannounced phone calls to collect dietary intake via 24-hour diet recalls, using the Nutrition Data System for Research (NDSR; Nutrition Coordinating Center, Minneapolis, MN). Phone calls were made approximately every 3 months, starting at time of recruitment, to account for seasonal variability and included at least one weekend day annually to assess both weekday and weekend intake. We examined the daily mean total energy intake; total and animal protein intake; and total, soluble, and insoluble fiber intake as assessed from dietary data collected in a time window around age of B2. In the longitudinal analyses, data from diet recalls were included from 5.5 months prior to 0.5 months after a given study visit.

Independent and dependent variables were examined for normality. Spearman rank-based correlation coefficients were calculated for pubertal parameters, sex steroids, and dietary factors at onset of puberty (age at B2). A mixed-effects model was used to examine the relationship between log-transformed values of hormone measures with dietary intake, and included age at onset of puberty and chronologic age as covariates; subsequent longitudinal analyses added race or nutrient intake adjusted for total caloric intake. The mixed model incorporated variance components to account for repeated longitudinal measures of assays within an individual over study visits. All analyses were performed using SAS, version 9.3 (SAS Institute Inc).

The study was approved by the Institutional Review Board of Cincinnati Children’s Hospital Medical Center, with written informed consent from parents, and assent from participants.

Results

This study included 260 participants who generated 871 serum specimens and 3000 dietary recall records. Values for dietary factors at pubertal onset (age B2) are listed in Table 1. Average age at onset of breast development (B2) was 8.4 years in black and 9.2 years in white participants (difference in age at onset, p < 0.01). Values for hormone factors at pubertal onset (age B2) are listed in Table 2. Greater intake of total fiber as well as insoluble fiber were correlated with later age of B2 (Spearman Rho = 0.165, p = .008; Rho = 0.173, p = .005, respectively) (Table 3). When stratified by race (white v non-white), the associations of later age of onset of puberty with increased total fiber and insoluble fiber were driven by white participants (Rho = 0.180, p = .015; Rho = 0.180, p = .015) (Supplemental table). When nutrient intake is adjusted for total caloric intake, the impact of total fiber on age of onset of puberty is slightly attenuated (Rho = 0.165, p = .008, unadjusted; Rho = 0.134, p = .03, adjusted).

Table 1.

Values of dietary factors at onset of puberty (N=260)

Variable Mean Std Dev
Energy, kcal 1764 434.2
Total fat, gm 64.2 22.5
Total carb, gm 241.2 58.8
Total protein, gm 61.7 19.4
Animal protein, gm 40.8 16.9
Total fiber, gm 12.6 4.3
Soluble fiber, gm 4.1 1.3
Insoluble fiber, gm 8.4 3.2

Table 2.

Values of hormone measures at onset of puberty

Variable N Mean Std Dev
Estradiol, pmol/l 202 4.91 7.05
Estrone, pmol/l 192 5.27 3.33
SHBG, nmol/l 168 101.42 43.72
Log of Estradiol 202 1.05 0.94
Log of Estrone 192 1.51 0.53
Log of SHBG 168 4.52 0.46

Table 3.

Correlation of hormone values to dietary factors at onset of puberty

Spearman Correlation Coefficients
Probability value
Energy, calories Total fat, gm Total carbs, gm Total protein, gm Animal protein, gm Total fiber, gm Soluble fiber, gm Insoluble fiber, gm
Estradiol 0.0233
0.74
0.038
0.60
0.0096
0.89
0.053
0.46
0.047
0.51
0.052
0.47
0.030
0.68
0.050
0.48
Estrone
0.111
0.13
0.108
0.14
0.082
0.26
0.152
0.038
0.144
0.048
0.128
0.08
0.096
0.19
0.122
0.09
SHBG
−0.177
0.02
−0.151
0.05
−0.112
0.15
−0.151
0.05
−0.151
0.05
0.008
0.92
−0.057
0.46
0.032
0.68
Estrone:SHBG 0.167
0.04
0.134
0.11
0.132
0.11
0.163
0.49
0.167
0.04
0.100
0.23
0.115
0.17
0.083
0.32
age of onset of puberty 0.060
0.33
0.054
0.39
0.056
0.37
0.093
0.14
0.035
0.57
0.165
0.008
0.112
0.07
0.173
0.005

When examining the association of hormone values at onset of puberty with dietary intake, estrone was associated with total protein (Rho= .152, p = 0.038) and animal protein intake (Rho= .144, p= 0.048). SHBG was negatively associated with energy (Rho= − .177, p = 0.02) and total protein, total fat, and animal protein (Rho= − .151, p = 0.05) (Table 3). The ratio of estrone to SHBG (a measure of bioavailable estrogen) was related to total caloric intake (Rho = 0.167, p = .04), total protein intake (Rho = 0.163, p = .049), and animal protein intake (Rho = 0.167, p = .04). When stratified by race (white v non-white), the relationship of SHBG to protein and animal protein intake was driven by non-white participants (Rho = −0.255, p = .05; Rho = −0.270, p = .04). All other associations between hormone measures and macronutrient intake, adjusted for caloric intake, are greater than p = .05 (except total calories on SHBG, and estrone to SHBG ratio, unchanged) (data not shown).

In longitudinal models examining dietary intake with sex steroid and SHBG levels, incorporating data from 18 months before until 6 months following pubertal onset, after adjusting for age at pubertal onset, estradiol levels were associated with time relative to puberty and lower intake of insoluble fiber (beta= −.0211, p= .029). Estrone levels were associated with time relative to puberty and greater intake of animal protein (beta= .00199, p=.049). SHBG levels were associated with time relative to puberty, greater intake of insoluble fiber (beta= .0111, p= .0082) and lower intake of total protein (beta= −.0016, p= .049) (Table 4). The estrone to SHBG ratio was greater with increased intake of animal protein (beta= .0035, p = .04) (Table 4). When adjusted for caloric intake, this relationship was stronger (beta= 0.718, p = .026). Additionally, the association of SHBG with fiber intake was strengthened after adjustment for caloric intake (beta= 17.08, p = .0013).

Table 4.

Longitudinal models for sex hormone concentrations

HORMONE VARIABLE ESTIMATE STANDARD ERROR P-VALUE
LOG [ESTRADIOL] Months of age 0.0384 0.0033 <.0001
Age onset puberty 0.2054 0.0369 <.0001
Insoluble fiber −0.0211 0.00968 0.029
LOG [ESTRONE] Months of age 0.0304 0.00161 <.0001
Age onset puberty 0.1573 0.0235 <.0001
Animal protein 0.00199 0.00101 0.049
LOG [SHBG] Months of age −0.0177 0.00127 <.0001
Insoluble fiber 0.0111 0.00417 0.0082
Total protein −0.0016 0.000812 0.049
LOG E1: SHBG Months of age 0.04830 0.002459 <.0001
Age onset puberty 0.1955 0.03879 <.0001
Animal protein 0.003535 0.001739 0.043
Total energy 0.000004806 0.000062 0.93

LOG= log transformation of outcome variable; SHBG= sex hormone binding globulin. Months of age= chronologic age at time of sample. Age onset of puberty= age at onset of breast development.

Discussion

In longitudinal models incorporating peripubertal data, we found that greater fiber intake was associated with lower estradiol concentrations; greater animal protein intake with greater estrone concentrations; and greater fiber as well as lower protein intake with increased SHBG concentrations. Greater estrone or estradiol concentrations, coupled with lower SHBG levels, would increase bioavailable estrogen,23 and, consistent with these findings, greater fiber intake delayed onset of breast development. We noted a difference between the two race/ethnicity groups (white and non-white). White participants had a greater delay in age at onset of breast development with total and insoluble fiber intake, whereas non-white participants had a greater decrease in SHBG with increased protein intake. Future studies could examine differences in itemized intake, or perform nutrient density substitution analyses.

There are several mechanisms that could account for the relationship between amount of dietary fiber, levels of sex steroids, and timing of maturation. Greater fiber consumption is associated with an increased volume of feces; increased fecal excretion of estrogens results in lower serum estrogens in adult women,4,5 possibly through increased bacterial β-glucuronidase activity.4 Gonadotropins and estrogen levels are lower in adults with greater consumption of fiber,6,9 potentially through inhibition of the hypothalamic-pituitary-ovarian axis due to higher fiber intake. Hughes24 proposed that the fiber-fertility link would be a protective mechanism by delaying reproduction during periods associated with greater consumption of fiber, given that greater fiber intake would be associated with vegetable rather than animal protein and resultant lower-quality nutrition. Another mechanism that could impact sex steroid levels and maturation through greater fiber intake is raising SHBG levels,7,8,10 thereby decreasing bioavailable sex steroids.

Several studies have noted the relationship between consumption of animal protein with earlier pubertal maturation.6,14,18,25 There are several mechanisms proposed to explain this relationship, including Hughes24 and higher-quality nutrition (vide supra). Another proposed mechanism is the stimulation of IGF1 secretion by animal protein, with greater IGF1 concentration leading to earlier maturation.26 This effect may be mediated through the effect of milk on IGF1 secretion rather than other constituents of animal protein.27,28 Additionally, dietary fats may impact DNA methylation patterns (reviewed by Donovan).29

There are several potential limitations with this study. Our study population, although not representative of the US population, has racial and economic diversity. Although we tried to capture dietary intake through 24-hour diet recalls around time of pubertal onset, these recall records reflected typical patterns at these ages but may not have reflected intake at critical earlier time periods. It is possible that increased fiber intake would also be associated with increased phytoestrogen intake, and it may be difficult to isolate the effects of phytoestrogens from the effects of fiber.30 Our group reported previously31 that urinary concentrations of enterolactones, the major metabolite of dietary lignans, were modestly correlated with fiber intake (r = .13–.19), and others have noted even higher associations. Lampe32 noted a significant correlation between dietary fiber and urinary lignan levels (r = .36, p = .0003). This correlation could serve as another mechanism for the impact of increased fiber on sex steroid level and action as well as decreased breast cancer risk. Of note, dietary recalls measure phytoestrogen consumption but not necessarily the biologic impact of phytoestrogen; to form the more biologically potent phytoestrogen, equol, dietary phytoestrogens need conversion by the gut microflora.33 The mechanism of the protective effects of phytoestrogens is not fully understood. Potential mechanisms include competition with endogenous estrogens at the estrogen receptor, inhibition of aromatase, or antiproliferative and/or antioxidant properties (discussed in Mervish).31 A future study could examine the impact of converted phytoestrogens through incorporating biomarkers of phytoestrogen intake. An important strength of our study is that it not only examined cross-sectional relationships at onset of puberty but also incorporated both longitudinal data collection and analytic approaches to help examine these complex temporal relationships.

The relationship of high fiber and lower available sex steroids may have served an evolutionary advantage given the relationship between greater fiber intake and lower-quality protein in traditional societies.24 The analogous current findings of greater fiber intake protecting against greater caloric intake and contributing to later onset of puberty and lower levels of bioavailable estrogen may serve as an advantage in contemporary society. Additionally, increased dietary fiber may help prevent the metabolic syndrome.34 A modest decrease in animal protein, as well as increase in fiber intake, may be beneficial in reducing breast cancer risk.

Supplementary Material

1

Implications & Contribution.

This study examined peripubertal dietary factors associated with estrogen and SHBG. Greater protein intake, particularly animal protein, led to greater bioavailable estrogen. Total and insoluble fiber decreased estrogen, raised SHBG, and raised age of puberty; total caloric intake raised bioavailable estrogen. Modest peripubertal dietary changes could impact breast cancer risk.

Acknowledgements:

The authors would like to thank Jan Clavey for her cheerful clerical assistance, and the families and research staff of Growing Up Female.

Grant support:

U01ES019453 (NCI and NIEHS); R01 ES029133 (NIEHS); UL1 RR026314 (USPHS), P30 ES006096 (NIEHS), and 8 UL1 TR000077-05 (CTSA).

Abbreviations:

SHBG

sex hormone binding globulin

B2

pubertal breast stage 2

IRMA

immunoradiometric assay

NDSR

Nutrition Data System for Research

IGF 1

insulin-like growth factor 1

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

The authors have no conflicts of interest to report.

Contributor Information

Frank M. Biro, Division of Adolescent and Transition Medicine, Cincinnati Children’s Hospital Medical Center Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio.

Suzanne S. Summer, Schubert Research Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio

Bin Huang, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio; Department of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center.

Chen Chen, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio; Department of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center.

Janie Benoit, Division of Obstetrics and Gynecology, CHU Ste-Justine Hospital, University of Montréal, Quebec, Canada.

Susan M. Pinney, Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati, Ohio

Bibliography

  • 1.Dong J-Y, He K, Wang P, Qin L-Q. Dietary fiber intake and risk of breast cancer: a meta-analysis of prospective cohort studies. Am J Clin Nutr. 2011;94(3):900–905. [DOI] [PubMed] [Google Scholar]
  • 2.Aune D, Chan DSM, Greenwood DC, et al. Dietary fiber and breast cancer risk: a systematic review and meta-analysis of prospective studies. Ann Oncol. 2012;23(6):1394–1402. [DOI] [PubMed] [Google Scholar]
  • 3.Farvid MS, Eliassen AH, Cho E, Liao Xi, Chen WY, Willett WC. Dietary fiber intake in young adults and breast cancer risk. Pediatrics. 2016;137(3):e20151226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Goldin BR, Adlercreutz H, Gorbach SL, et al. Estrogen excretion patterns and plasma levels in vegetarian and omnivorous women. New Engl J Med. 1982;307(25):1542–1547. [DOI] [PubMed] [Google Scholar]
  • 5.Whitten CG, Shultz TD. Binding of steroid hormones in vitro by water-insoluble dietary fiber. Nutr Res. 1988;8(11):1223–1235. [Google Scholar]
  • 6.de Ridder CM, Thijssen JH, Van’t Veer P, et al. Dietary habits, sexual maturation, and plasma hormones in pubertal girls: a longitudinal study. Am J Clin Nutr. 1991;54(5):805–813. [DOI] [PubMed] [Google Scholar]
  • 7.Adlercreutz H, Bannwart C, Wähälä K, et al. Inhibition of human aromatase by mammalian lignans and isoflavonoid phytoestrogens. J Steroid Biochem Mol Biol. 1993;44(2):147–153. [DOI] [PubMed] [Google Scholar]
  • 8.Thomas HV, Davey GK, Key TJ. Oestradiol and sex hormone-binding globulin in premenopausal and post-menopausal meat-eaters, vegetarians and vegans. Br J Cancer. 1999;80(9):1470–1475. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Gaskins AJ, Mumford SL, Zhang C, et al. Effect of daily fiber intake on reproductive function: the BioCycle Study. Am J Clin Nutr. 2009;90(4):1061–1069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Karelis AD, Fex A, Filion M-E, Adlercreutz H, Aubertin-Leheudre M. Comparison of sex hormonal and metabolic profiles between omnivores and vegetarians in pre-and post-menopausal women. Br J Nutr. 2010;104(2):222–226. [DOI] [PubMed] [Google Scholar]
  • 11.Xia H, Ma S, Wang S, Sun G. Meta-analysis of saturated fatty acid intake and breast cancer risk. Medicine (Baltimore). 2015;94(52). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Pan K, Larson JC, Prentice RL, et al. Protein intake by source and breast cancer incidence and mortality: the Women’s Health Initiative. JNCI Cancer Spectr. 2020;4(6):pkaa101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Lee SA, Shu XO, Li H, et al. Adolescent and adult soy food intake and breast cancer risk: results from the Shanghai Women’s Health Study. Am J Clin Nutr. 2009;89(6):1920–1926. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Rogers IS, Northstone K, Dunger DB, Cooper AR, Ness AR, Emmett PM. Diet Throughout Childhood and Age at Menarche in a Contemporary Cohort of British Girls. Public Health Nutr. 2010;13(12):2052–2063. [DOI] [PubMed] [Google Scholar]
  • 15.Koo MM, Rohan TE, Jain M, McLaughlin JR, Corey PN. A cohort study of dietary fibre intake and menarche. Public Health Nutr. 2002;5(2):353–360. [DOI] [PubMed] [Google Scholar]
  • 16.Cheng G, Remer T, Prinz-Langenohl R, Blaszkewicz M, Degen GH, Buyken AE. Relation of isoflavones and fiber intake in childhood to the timing of puberty. Am J Clin Nutr. 2010;92(3):556–564. [DOI] [PubMed] [Google Scholar]
  • 17.Cheng G, Buyken AE, Shi L, et al. Beyond Overweight: Nutrition as an Important Lifestyle Factor Influencing Timing of Puberty. Nutr Rev. 2012;70(3):133–152. [DOI] [PubMed] [Google Scholar]
  • 18.Remer T, Shi L, Buyken AE, Maser-Gluth C, Hartmann MF, Wudy SA. Prepubertal adrenarchal androgens and animal protein intake independently and differentially influence pubertal timing. J Clin Endocrinol Metab. 2010;95(6):3002–3009. [DOI] [PubMed] [Google Scholar]
  • 19.Biro FM, Galvez MP, Greenspan LC, et al. Pubertal assessment method and baseline characteristics in a mixed longitudinal study of girls. Pediatrics. Sep 2010;126(3):e583–590. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Hiatt RA, Stewart SL, Deardorff J, et al. Childhood socioeconomic status and menarche: a prospective study. J Adolesc Health. Jul 2021;69(1):33–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Biro FM, Pinney SM, Huang B, Baker ER, Walt Chandler D, Dorn LD. Hormone changes in peripubertal girls. J Clin Endocrinol Metab. Jul 16 2014;99(10):3829–3835. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.van Geel TACM, Geusens PP, Winkens B, Sels JPJE, Dinant GJ. Measures of bioavailable serum testosterone and estradiol and their relationships with muscle mass, muscle strength and bone mineral density in postmenopausal women: a cross-sectional study. Eur J Endocrinol. Apr 2009;160(4):681–687. [DOI] [PubMed] [Google Scholar]
  • 23.Anderson DC. Sex-hormone-binding globulin. Clin Endocrinol (Oxf). 1974;3(1):69–96. [DOI] [PubMed] [Google Scholar]
  • 24.Hughes RE, Jones E. Intake of dietary fibre and the age of menarche. Ann Hum Biol. 1985;12(4):325–332. [DOI] [PubMed] [Google Scholar]
  • 25.Berkey CS, Gardner JD, Frazier AL, Colditz GA. Relation of childhood diet and body size to menarche and adolescent growth in girls. Am J Epidemiol. 2000;152(5):446–452. [DOI] [PubMed] [Google Scholar]
  • 26.Thankamony A, Ong KK, Ahmed ML, Ness AR, Holly JMP, Dunger DB. Higher levels of IGF-I and adrenal androgens at age 8 years are associated with earlier age at menarche in girls. J Clin Endocrinol Metab. 2012;97(5):E786–E790. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Hoppe C, Mølgaard C, Juul A, Michaelsen KF. High intakes of skimmed milk, but not meat, increase serum IGF-I and IGFBP-3 in eight-year-old boys. Eur J Clin Nutr. 2004;58(9):1211–1216. [DOI] [PubMed] [Google Scholar]
  • 28.Günther ALB, Karaolis-Danckert N, Kroke A, Remer T, Buyken AE. Dietary protein intake throughout childhood is associated with the Timing of puberty. J Nutr. 2010;140(3):565–571. [DOI] [PubMed] [Google Scholar]
  • 29.Donovan MG, Wren SN, Cenker M, Selmin OI, Romagnolo DF. Dietary fat and obesity as modulators of breast cancer risk: focus on DNA methylation. Br J Pharmacol. 2020;177(6):1331–1350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Horn-Ross PL, Barnes S, Lee M, et al. Assessing phytoestrogen exposure in epidemiologic studies: development of a database. Cancer Causes Control. 2000;11(4):289–298. [DOI] [PubMed] [Google Scholar]
  • 31.Mervish NA, Gardiner EW, Galvez MP, et al. Dietary flavonol intake is associated with age of puberty in a longitudinal cohort of girls. Nutr Res. 2013;33(7):534–542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Lampe JW, Gustafson DR, Hutchins AM, et al. Urinary isoflavonoid and lignan excretion on a Western diet: relation to soy, vegetable, and fruit intake. Cancer Epidemiol Biomarkers Prev. 1999;8(8):699–707. [PubMed] [Google Scholar]
  • 33.Setchell KDR, Clerici C. Equol: Pharmacokinetics and Biological Actions. J Nutr. 2010;140(7):1363S–1368S. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Yao B, Fang H, Xu W, et al. Dietary fiber intake and risk of type 2 diabetes: a dose-response analysis of prospective studies. Eur J Epidemiol. Feb 2014;29(2):79–88. [DOI] [PubMed] [Google Scholar]

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