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European Thyroid Journal logoLink to European Thyroid Journal
. 2016 May 21;5(2):132–138. doi: 10.1159/000445887

Recreational Physical Activity and Differentiated Thyroid Cancer Risk: A Pooled Analysis of Two Case-Control Studies

Constance Xhaard a,b,c, Juan J Lence-Anta d, Yan Ren a,b,c, Françoise Borson-Chazot e,f, Geneviève Sassolas f, Claire Schvartz g, Marc Colonna h, Brigitte Lacour b,i, Arlette Danzon j, Michel Velten k, Enora Clero a,b,c, Stéphane Maillard a,b,c, Emilie Marrer l, Laurent Bailly m, Eugènia Mariné Barjoan m, Martin Schlumberger b, Jacques Orgiazzi n, Elisabeth Adjadj a,c, Celia M Pereda d, Silvia Turcios o, Milagros Velasco d, Mae Chappe d, Idalmis Infante d, Marlene Bustillo d, Anabel García d, Sirced Salazar d, Regla Rodriguez p, Mohamed Amine Benadjaoud a,b,c, Rosa M Ortiz d, Carole Rubino a,b,c, Florent de Vathaire a,b,c,*
PMCID: PMC4949366  PMID: 27493888

Abstract

Purpose

Physical activity has been hypothesized to influence cancer occurrence through several mechanisms. To date, its relation with thyroid cancer risk has been examined in relatively few studies. We pooled 2 case-control studies conducted in Cuba and Eastern France to assess the relationship between self-reported practice of recreational physical activity since childhood and thyroid cancer risk.

Methods

This pooled study included 1,008 cases of differentiated thyroid cancer (DTC) matched with 1,088 controls (age range 9-35 and 17-60 years in the French and Cuban studies, respectively). Risk factors associated with the practice of recreational physical activity were estimated using OR and 95% CI. Logistic regressions were stratified by age class, country, and gender and were adjusted for ethnic group, level of education, number of pregnancies for women, height, BMI, and smoking status.

Results

Overall, the risk of thyroid cancer was slightly reduced among subjects who reported recreational physical activity (OR = 0.8; 95% CI 0.5-1.0). The weekly frequency (i.e. h/week) seems to be more relevant than the duration (years).

Conclusion

Long-term recreational physical activity, practiced since childhood, may reduce the DTC risk. However, the mechanisms whereby the DTC risk decreases are not yet entirely clear.

Key Words: Recreational physical activity, Pooled case-control study, Thyroid cancer, Risk factors

Introduction

Over the last few decades, the differentiated thyroid cancer (DTC) incidence has grown rapidly in many countries [1]. The study of DTC risk factors is therefore of great importance to understand this observed increase in incidence. In addition to exposure to ionizing radiation during childhood or adolescence, which is the main established risk factor for DTC, a number of other risk factors are now well documented. These include anthropometric factors like height, BMI or body surface area, and obesity [2,3,4] and, among women, hormonal and reproductive factors such as a high parity [3,5,6,7,8].

Physical activity has been hypothesized to influence cancer risk through several mechanisms [9]. Specifically, physical activity may affect the thyroid cancer risk via DNA repair [10,11,12], hormonal [13,14,15], metabolic [15,16,17], and anti-inflammatory [18,19] pathways.

Nevertheless, to date, the sparse epidemiologic data concerning the relation between physical activity and DTC risk are inconclusive. Two cohort studies and 1 case-control study found a slight decrease in DTC risk related to the practice of physical activity [20,21,22]. A pooled study of 5 prospective studies provided evidence of a slight increase in DTC associated with the practice of physical activity [23], while the other studies were inconclusive [24,25,26,27,28,29]. However, only 3 of these studies examined the association between long-term physical activity and DTC risk [20,22,25].

In our study, we pooled individual data from 2 case-control studies conducted in Cuba and Eastern France to examine the association between self-reported practice of recreational physical activity since childhood and DTC in men and women.

Methods

Study Population

Cases and controls from 2 studies using identical methodologies were included. The Cuban case-control study was approved by the Clinical Research Ethics Committee of the National Institute of Oncology and Radiobiology (INOR), Havana, Cuba. The French case-control study was approved by the French Data Protection Authority (agreement No. 05-1120, April 5, 2005). Written informed consent was obtained from all participants in each study. The study population and the methods used for data collection have previously been reported in detail [8,30], while the main characteristics of the 2 population-based case-control studies are summarized in table 1. The Cuban study was conducted between 2009 and 2011 and included 203 cases diagnosed before the age of 60 years between 2000 and 2011, matched with 212 controls. The French study was conducted between 2009 and 2010 and included 805 cases diagnosed before the age of 35 years between 2002 and 2006, matched with 876 controls.

Table 1.

Characteristics of the 2 case-control studies

Eastern France Cuba
Case/control subject ratio 805/876 203/212

Women, % 78.0 84.8

Diagnostic period 2002–2006 2000–2011

Median age at diagnosis (range), years 28 (9–35) 39 (17–60)

Identification of cases Three main sources by region: (i) General Cancer Incidence Registry in Champagne-Ardennes, Alsace, and Rhône-Alpes; (ii) National Childhood Cancer Registry (which contains information on children <15 years of age) in all regions, and (iii) private and public hospitals in Lorraine, Franche-Comté, Corse, and Provence-Alpes-Côte d'Azur National Cancer Registry and cross-referenced with the INOR Pathology Registry

Case eligibility Residents of 1 of the 7 regions of Eastern France and under 35 years of age in the reference year Residents of Havana City or its surroundings, between 17 and 60 years of age

Papillary histology, % 90.3 93.1

Microcarcinomaa, % 18.5 2.0

Type of control subjects General population General population

Control selection Randomly selected from the landline telephone directoryb Randomly selected from primary care unit patient consultation files

Matching criteria Sex, date of birth, and region Sex and date of birth (±5 years)

Type of matching Individual Frequency

Type of interviews Face-to-face Face-to-face
a

Defined as unifocal tumors <10 mm without tumor extension.

b

Or related persons of contacted people from the landline directory.

Analyzed Parameters

The 2 studies used the same standardized questionnaire, which elicited information on demographics, anthropometry, dietary intake, and medical, reproductive, and family history, as well as lifestyle factors including smoking history, alcohol consumption, and recreational physical activity. The questions related to recreational physical activity were strictly identical in both questionnaires. All types of recreational physical activities were taken into account, but only those reported outside of school time. In this study, we summed all reported physical activity in order to obtain the duration (years) and frequency (h/week) from childhood until 1 year before the diagnosis (for cases) or 1 year before the reference year (for controls). Duration and frequency were separated into 3 categories: childhood and adolescence (age <18 years), adulthood (age ≥18 years), and total lifetime.

Quartiles for each variable were then calculated in accordance with their distribution among controls.

Statistical Analysis

Data were analyzed using logistic regression with SAS software, version 9.3 (SAS Institute, Cary, N.C., USA). Analyses were stratified by 5-year age class, area of residence or country, and gender and were adjusted for ethnic group, level of education, number of pregnancies for women, height (3 tertiles for each gender and study), BMI (3 categories in accordance with the WHO classification), and smoking status. Analyses were also conducted separately for women and men because risk factors may vary by sex. Interaction tests were performed to assess whether the association of recreational physical activity with thyroid cancer risk was modified by characteristics such as height, BMI, smoking status, number of pregnancies, oral contraceptive use, and age at menarche.

Results

A total of 1,008 cases and 1,088 controls were included in the pooled study (table 1). Approximately 91% of the cases were of papillary carcinoma, and women represented 70% of cases.

No significant interaction (p value for interaction >0.05) was apparent between country and any variable used as an adjustment variable (educational level, ethnicity, smoking status, BMI, height, or number of pregnancies for women) in the risk of thyroid cancer, enabling us to pool the results of these 2 studies.

Recreational physical activity is common in France (77% of subjects) but rare in Cuba (32% of subjects). Cases were less likely than controls to report any regular recreational physical activity (OR = 0.7; 95% CI 0.6-0.9). This ratio was identical among women (OR = 0.7; 95% CI 0.6-1.0) and was not significant among men (OR = 0.9; 95% CI 0.5-1.5) (table 2). Because the proportion of microcarcinomas was higher in the French study than in the Cuban study (18.5 vs. 2%), analyses were also been done without microcarcinomas, and the results remained similar with or without taking into account microcarcinomas (for having practiced any physical activity: OR = 0.8; 95% CI 0.6-1.0).

Table 2.

OR of DTC by aspects of recreational physical activity

All subjects
Women only
Men only
cases (n = 1,008) controls (n = 1,088) OR 95% CI p for trend p for trendb cases (n = 812) controls (n = 852) OR 95% CI p for trend p for trendb cases (n = 196) controls (n = 236) OR 95% CI p for trend p for trendb
No physical activity 356 302 1.0 Ref. 321 261 1 Ref. 35 41 1 Ref.
Any physical activity 652 786 0.7 0.6–0.9 <0.01 491 591 0.7 0.6–1.0 0.01 161 195 0.9 0.5–1.5 0.66

Duration of practice, years
Under 18 years
 0 393 347 1.0 Ref. 351 294 1.0 Ref. 42 52 1.0 Ref.
 1–2 96 119 0.8 0.5–1.0 78 97 0.7 0.5–1.0 18 23 1.1 0.5–2.5
 3–5 175 176 0.9 0.7–1.2 142 138 0.9 0.7–1.2 33 38 1.0 0.5–2.0
 6–9 176 229 0.8 0.6–1.0 124 173 0.7 0.5–1.0 52 56 1.1 0.6–1.9
 ≥10 168 217 0.8 0.6–1.0 0.05 0.60 117 150 0.7 0.5–1.0 0.04 0.80 51 67 0.9 0.5–1.6 0.61 0.45
18 years and over
 0 706 698 1.0 Ref. 613 575 1.0 Ref. 93 123 1.0 Ref.
 1 53 78 0.7 0.5–1.0 39 60 0.6 0.4–0.9 14 18 1.0 0.5–2.3
 2–3 77 102 0.7 0.5–1.0 56 77 0.7 0.5–1.0 21 25 0.9 0.5–1.9
 4–7 76 106 0.7 0.5–1.0 55 77 0.7 0.5–1.0 21 29 0.8 0.4–1.5
 ≥8 96 104 0.9 0.6–1.3 0.08 0.38 49 63 0.8 0.4–1.2 0.02 0.37 47 41 1.4 0.8–2.5 0.55 0.94
Total
 0 356 302 1.0 Ref. 321 261 1.0 Ref. 35 41 1.0 Ref.
 1–3 147 161 0.8 0.6–1.1 123 136 0.8 0.6–1.0 24 25 1.3 0.6–2.8
 4–7 182 218 0.7 0.6–1.0 141 166 0.7 0.5–1.0 41 52 0.8 0.4–1.6
 8–11 139 175 0.7 0.5–1.0 114 129 0.8 0.6–1.1 25 46 0.6 0.3–1.2
 ≥12 184 232 0.7 0.5–0.9 0.02 0.38 113 160 0.7 0.5–0.9 0.02 0.51 71 72 0.9 0.5–1.7 0.55 0.53

Time per weeka, hours
Under 18 years
 0 393 347 1.0 Ref. 351 295 1.0 Ref. 42 52 1.0 Ref.
 1 122 118 1.1 0.7–1.6 106 108 1.0 0.7–1.6 16 10 1.9 0.6–5.7
 2 195 207 0.9 0.6–1.3 158 178 0.9 0.6–1.3 37 29 1.8 0.7–4.5
 3–4 152 218 0.7 0.5–1.0 111 153 0.7 0.4–1.1 41 65 0.8 0.3–2.0
 ≥5 146 198 0.7 0.5–1.1 <0.01 <0.01 86 118 0.7 0.4–1.1 0.02 0.01 60 80 1.0 0.4–2.5 0.30 0.06
18 year and over
 0 706 698 1.0 Ref. 613 575 1.0 Ref. 93 123 1.0 Ref.
 1 49 54 0.7 0.4–1.2 42 48 0.7 0.4–1.3 7 6 0.9 0.2–3.6
 2 86 999 0.7 0.4–1.1 59 80 0.6 0.4–1.1 27 19 1.1 0.4–2.9
 3–5 91 140 0.5 0.3–0.8 57 96 0.5 0.3–0.8 34 44 0.6 0.2–1.6
 ≥6 76 97 0.5 0.3–0.9 0.01 0.03 41 53 0.6 0.3–1.1 0.03 0.06 35 44 0.6 0.2–1.7 0.20 0.27
Total
 0 356 302 1.0 Ref. 321 261 1.0 Ref. 35 41 1.0 Ref.
 1 132 120 1.1 0.7–1.5 114 112 1.0 0.7–1.5 17 8 2.4 0.8–7.5
 2 198 225 0.8 0.6–1.1 158 189 0.8 0.5–1.1 41 36 1.3 0.5–3.2
 3–4 163 225 0.7 0.5–1.0 120 161 0.7 0.4–1.0 43 64 0.8 0.3–1.9
 ≥5 159 216 0.6 0.4–1.0 <0.01 <0.01 99 129 0.7 0.4–1.0 0.01 0.01 60 87 0.8 0.3–2.0 0.10 0.02

OR were stratified by sex, region or country, and age and adjusted for educational level, ethnicity, smoking status, BMI, height, and number of pregnancies for women. Ref. = Reference values.

a

OR were also adjusted for the number of years of physical activity practice.

b

When excluding subjects who did not report any recreational physical activity.

When excluding nonpractitioners, this decrease in risk was not significantly associated with the duration, in years, of the recreational physical activity, either when considering whole lifetimes or when investigating physical activity separately for up to and beyond 18 years (table 2).

Conversely, the frequency of recreational physical activity, as measured by the weekly number of hours of practice, was significantly associated with a lower risk of DTC in all subjects, in both men and women, up to 18 years of age, for age 18 years and over, and for the lifetime weekly frequency (p for trend for lifetime intensity <0.01 both in all subjects and in women, and 0.04 in men; table 2).

In total, 31% of the subjects declared having never practiced any physical activity, 4% declared having practiced physical activity only after 18 years of age, 36% only practiced before 18 years of age, and 29% practiced during their entire lifetime, and these percentage were the same for cases and controls. Hence, subjects who had not reported any physical activity before the age of 18 years were not likely to practice during adulthood. Conversely, 36% of the subjects practiced physical activity only during childhood.

No significant interactions between each tested variable (any physical activity, years of duration, h/week) and height, BMI, smoking status, number of pregnancies, oral contraceptive use, and age at menarche were apparent.

Discussion

Our study found a slightly decreased DTC risk associated with the practice of recreational physical activity (OR = 0.7; 95% CI 0.6-0.9), and a higher association with the weekly frequency of practice rather than its duration.

Lifetime recreational physical activity is difficult to measure, and available epidemiologic data regarding the relation between physical activity and thyroid cancer risk are sparse. Only a few studies have been published on this subject, and the majority of them have not found any positive or negative association between recreational physical activity and DTC risk [24,25,26,27,28,29].

In our study, the duration and weekly frequency of practice of recreational physical activity were examined both during whole lifetimes and separately for childhood/adolescence and adulthood. Concerning the lifetime duration of physical activity practice, a significant association was found both in all subjects and in women only. But no significant association remained when the age groups were examined separately.

We found a slight negative association between weekly frequency of practice of physical activity during the entire lifetime and DTC risk (OR per h/week = 0.9; 95% CI 0.9-1.0). A more frequent practice of recreational physical activity during childhood and adolescence could be more protective than during adulthood, because adolescence or early adulthood could be a more biologically relevant time period. This has also been shown for anthropometric factors during young adulthood, which play a significant role in DTC risk [4]. Some authors also examined the practice of recreational physical activity separately for early ages, the whole lifetime, or just a few years before the diagnosis [20,22]. However, they did not find any significant risk differences by age, and they reported that the early practice of recreational physical activity is associated with a lower DTC risk (practice between 12 and 21 years of age [20] or whole-lifetime practice since high school [22]).

The results for women only were not different from those for all subjects, except for years of practice after 18 years of age. For men, the only significant association was with the intensity of lifetime practice. DTC affects mostly women, and several studies have focused only on women [20,22,27]. This higher incidence may be explained by hormonal exposure, especially with regard to the role of estrogens and estrogen receptors in thyroid tumorigenesis, reprogramming, and progression [8]. Hence, some other risk factors may act differently according to the sex of the subjects. However, no difference between men and women was reported for the association of practice of recreational physical activity and thyroid cancer risk in an analysis of the NIH-AARP Diet and Health Study, which included 171 cases in men and 181 in women [25].

The mechanisms whereby the DTC risk might decrease with the practice of recreational physical activity may involve several pathways, including DNA repair and anti-inflammatory and hormonal mechanisms [22], but these mechanisms are not yet entirely clear. Another hypothesis is that the practice of physical activity may influence the DTC risk by reducing obesity, which is known to be positively related to DTC risk [26]. However, this last hypothesis was not supported by the absence of an interaction between the practice of recreational physical activity and BMI in our pooled study.

Our pooled study has several strengths, including its large sample size, the use of strictly identical questionnaires across the 2 studies, and the adjustment of analyses for confounding covariates. Even though the Cuban and French populations are different, the absence of an interaction between the aspect of practice of recreational physical activity and the country of origin has enabled us to pool the 2 studies. Nevertheless, the Cuban case-control study does not itself have sufficient statistical power to be analyzed alone for studying the influence of recreational physical activities.

There are also some limitations. The main limitation of our study is that physical activity, BMI, and other covariates are self-reported and thus subject to reporting errors or recall bias. Imprecise estimation of physical activity levels may consequently have occurred. The validity of self-reported physical activity has been successfully evaluated in a number of other studies [31,32]. In the large-scale EPIC cohort, after a validation stage with an accelerometer in a sample of subjects, those authors found that self-reported questionnaires showed acceptable measurement characteristics for ranking participants by their level of total physical activity [31]. In a cohort of pregnant women, Brantsaeter et al. [32] observed significant positive associations between self-reported exercise activity and motion sensor measurements of physical activity, indicating that the questions used for exercise assessment may be useful for ranking pregnant women by recreational exercise level. Another limitation comes from the absence of occupational or household physical activity assessments, which could be important determinants of the total energy expenditure, which may affect the thyroid cancer risk.

The last limitation came from the pool of 2 sets of heterogeneous data in which subjects came from 2 countries (France and Cuba) and did not have the same median age (28 vs. 39 years). However, these factors were taken into account in the analyses because logistic regressions were stratified for age, sex, and country.

In summary, our study found an overall significant but rather weak negative association between physical activity and DTC risk. This association is higher for a more frequent practice rather than for a longer duration of practice.

Disclosure Statement

The authors have nothing to declare.

Acknowledgements

This study was supported by AVIESAN, the Ligue Nationale Contre le Cancer (LNCC), the Agence Nationale pour la Recherche (ANR), the Institut National de Veille Sanitaire (InVS), the Institut National de la Santé et de la Recherche Médicale (INSERM), the Direction Générale de la Santé (DGS), the Ile de France region, the Institut National du Cancer (INCa), and the Observatoire Régional de la Santé de Corse (ORS Corse).

We would like to thank the Association Centre de Regroupement Informatique et Statistique en Anatomie Pathologique en Provence-Alpes-Côte d'Azur (CRISAP PACA), as well as Dr. Christophe Sattonnet, Dr. Jean-Luc Lassalle, Dr. Z. Hafdi- Nejjari, Dr. P. Delafosse, Kami-Marie Morerau, Cyrielle Orenes, Laurianne Sarrazin, Stéphanie Bonnay, Frédérique Chatelain, Maryse Barouh, Evelyne Rapp, Julie Festraëts, Julie Valbousquet, Yusuf Atilgan, Jean Chappellet, Lallia Bedhouche, Florent Dayet, and Ziyan Fami.

References

  • 1.Kilfoy BA, Zheng T, Holford TR, Han X, Ward MH, Sjodin A, Zhang Y, Bai Y, Zhu C, Guo GL, Rothman N. International patterns and trends in thyroid cancer incidence, 1973-2002. Cancer Causes Control. 2009;20:525–531. doi: 10.1007/s10552-008-9260-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Engeland A, Tretli S, Akslen LA, Bjorge T. Body size and thyroid cancer in two million Norwegian men and women. Br J Cancer. 2006;95:366–370. doi: 10.1038/sj.bjc.6603249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Peterson E, De P, Nuttall R. BMI, diet and female reproductive factors as risks for thyroid cancer: a systematic review. PLoS One. 2012;7:e29177. doi: 10.1371/journal.pone.0029177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Xhaard C, de Vathaire F, Clero E, Maillard S, Ren Y, Borson-Chazot F, Sassolas G, Schvartz C, Colonna M, Lacour B, Danzon A, Velten M, Marrer E, Bailly L, Barjoan EM, Schlumberger M, Orgiazzi J, Adjadj E, Rubino C. Anthropometric risk factors for differentiated thyroid cancer in young men and women from Eastern France: a case-control study. Am J Epidemiol. 2015;182:202–214. doi: 10.1093/aje/kwv048. [DOI] [PubMed] [Google Scholar]
  • 5.Rossing MA, Voigt LF, Wicklund KG, Daling JR. Reproductive factors and risk of papillary thyroid cancer in women. Am J Epidemiol. 2000;151:765–772. doi: 10.1093/oxfordjournals.aje.a010276. [DOI] [PubMed] [Google Scholar]
  • 6.Negri E, Dal Maso L, Ron E, La Vecchia C, Mark SD, Preston-Martin S, McTiernan A, Kolonel L, Yoshimoto Y, Jin F, Wingren G, Rosaria Galanti M, Hardell L, Glattre E, Lund E, Levi F, Linos D, Braga C, Franceschi S. A pooled analysis of case-control studies of thyroid cancer. 2. Menstrual and reproductive factors. Cancer Causes Control. 1999;10:143–155. doi: 10.1023/a:1008880429862. [DOI] [PubMed] [Google Scholar]
  • 7.Brindel P, Doyon F, Rachedi F, Boissin JL, Sebbag J, Shan L, Chungue V, Sun LYK, Bost-Bezeaud F, Petitdidier P, Paoaafaite J, Teuri J, de Vathaire F. Menstrual and reproductive factors in the risk of differentiated thyroid carcinoma in native women in French Polynesia: a population-based case-control study. Am J Epidemiol. 2008;167:219–229. doi: 10.1093/aje/kwm288. [DOI] [PubMed] [Google Scholar]
  • 8.Xhaard C, Rubino C, Clero E, Maillard S, Ren Y, Borson-Chazot F, Sassolas G, Schvartz C, Colonna M, Lacour B, Danzon A, Velten M, Buemi A, Bailly L, Marine Barjoan E, Schlumberger M, Orgiazzi J, Adjadj E, de Vathaire F. Menstrual and reproductive factors in the risk of differentiated thyroid carcinoma in young women in France: a population-based case-control study. Am J Epidemiol. 2014;180:1007–1017. doi: 10.1093/aje/kwu220. [DOI] [PubMed] [Google Scholar]
  • 9.McTiernan A, Ulrich C, Slate S, Potter J. Physical activity and cancer etiology: associations and mechanisms. Cancer Causes Control. 1998;9:487–509. doi: 10.1023/a:1008853601471. [DOI] [PubMed] [Google Scholar]
  • 10.Radak Z, Kaneko T, Tahara S, Nakamoto H, Ohno H, Sasvari M, et al. The effect of exercise training on oxidative damage of lipids, proteins, and DNA in rat skeletal muscle: evidence for beneficial outcomes. Free Radic Biol Med. 1999;27:69–74. doi: 10.1016/s0891-5849(99)00038-6. [DOI] [PubMed] [Google Scholar]
  • 11.Alessio HM. Exercise-induced oxidative stress. Med Sci Sports Exerc. 1993;25:218–224. [PubMed] [Google Scholar]
  • 12.Schneider S, Willis PE, Parkhouse WS. The effects of age and physical activity on cardiac mitochondrial DNA template availability. Age. 1995;18:151–157. [Google Scholar]
  • 13.Friedenreich CM, Orenstein MR. Physical activity and cancer prevention: etiologic evidence and biological mechanisms. J Nutr. 2002;132:3456S–3464S. doi: 10.1093/jn/132.11.3456S. [DOI] [PubMed] [Google Scholar]
  • 14.Henderson BE, Feigelson HS. Hormonal carcinogenesis. Carcinogenesis. 2000;21:427–433. doi: 10.1093/carcin/21.3.427. [DOI] [PubMed] [Google Scholar]
  • 15.McTiernan A. Mechanisms linking physical activity with cancer. Nat Rev Cancer. 2008;8:205–211. doi: 10.1038/nrc2325. [DOI] [PubMed] [Google Scholar]
  • 16.Samani AA, Yakar S, LeRoith D, Brodt P. The role of the IGF system in cancer growth and metastasis: overview and recent insights. Endocr Rev. 2007;28:20–47. doi: 10.1210/er.2006-0001. [DOI] [PubMed] [Google Scholar]
  • 17.Vella V, Sciacca L, Pandini G, Mineo R, Squatrito S, Vigneri R, et al. The IGF system in thyroid cancer: new concepts. Mol Pathol. 2001;54:121–124. doi: 10.1136/mp.54.3.121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Russell JP, Shinohara S, Melillo RM, Castellone MD, Santoro M, Rothstein JL. Tyrosine kinase oncoprotein, RET/PTC3, induces the secretion of myeloid growth and chemotactic factors. Oncogene. 2003;22:4569–4577. doi: 10.1038/sj.onc.1206759. [DOI] [PubMed] [Google Scholar]
  • 19.Russell JP, Engiles JB, Rothstein JL. Proinflammatory mediators and genetic background in oncogene mediated tumor progression. J Immunol. 2004;172:4059–4067. doi: 10.4049/jimmunol.172.7.4059. [DOI] [PubMed] [Google Scholar]
  • 20.Rossing MA, Remler R, Voigt LF, Wicklund KG, Daling JR. Recreational physical activity and risk of papillary thyroid cancer (United States) Cancer Causes Control. 2001;12:881–885. doi: 10.1023/a:1013757030600. [DOI] [PubMed] [Google Scholar]
  • 21.Robsahm TE, Hestvik UE, Veierod MB, Fagerlie A, Nystad W, Engebretsen L, Tretli S. Cancer risk in Norwegian world class athletes. Cancer Causes Control. 2010;21:1711–1719. doi: 10.1007/s10552-010-9600-z. [DOI] [PubMed] [Google Scholar]
  • 22.Cash SW, Ma H, Horn-Ross PL, Reynolds P, Canchola AJ, Sullivan-Halley J, Beresford SA, Neuhouser ML, Vaughan TL, Heagerty PJ, Bernstein L. Recreational physical activity and risk of papillary thyroid cancer among women in the California Teachers Study. Cancer Epidemiol. 2013;37:46–53. doi: 10.1016/j.canep.2012.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Kitahara CM, Platz EA, Beane Freeman LE, Black A, Hsing AW, Linet MS, Park Y, Schairer C, Berrington de Gonzalez A. Physical activity, diabetes, and thyroid cancer risk: a pooled analysis of five prospective studies. Cancer Causes Control. 2012;23:463–471. doi: 10.1007/s10552-012-9896-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kolonel LN, Hankin JH, Wilkens LR, Fukunaga FH, Hinds MW. An epidemiologic study of thyroid cancer in Hawaii. Cancer Causes Control. 1990;1:223–234. doi: 10.1007/BF00117474. [DOI] [PubMed] [Google Scholar]
  • 25.Leitzmann MF, Brenner A, Moore SC, Koebnick C, Park Y, Hollenbeck A, Schatzkin A, Ron E. Prospective study of body mass index, physical activity and thyroid cancer. Int J Cancer. 2010;126:2947–2956. doi: 10.1002/ijc.24913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Schmid D, Behrens G, Jochem C, Keimling M, Leitzmann M. Physical activity, diabetes, and risk of thyroid cancer: a systematic review and meta-analysis. Eur J Epidemiol. 2013;28:945–958. doi: 10.1007/s10654-013-9865-0. [DOI] [PubMed] [Google Scholar]
  • 27.Kabat GC, Kim MY, Thomson CA, Luo JH, Wactawski-Wende J, Rohan TE. Anthropometric factors and physical activity and risk of thyroid cancer in postmenopausal women. Cancer Causes Control. 2012;23:421–430. doi: 10.1007/s10552-011-9890-9. [DOI] [PubMed] [Google Scholar]
  • 28.Meinhold CL, Ron E, Schonfeld SJ, Alexander BH, Freedman DM, Linet MS, Berrington de Gonzalez A. Nonradiation risk factors for thyroid cancer in the US Radiologic Technologists Study. Am J Epidemiol. 2010;171:242–252. doi: 10.1093/aje/kwp354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Clavel-Chapelon F, Guillas G, Tondeur L, Kernaleguen C, Boutron-Ruault MC. Risk of differentiated thyroid cancer in relation to adult weight, height and body shape over life: the French E3N cohort. Int J Cancer. 2010;126:2984–2990. doi: 10.1002/ijc.25066. [DOI] [PubMed] [Google Scholar]
  • 30.Lence-Anta JJ, Xhaard C, Ortiz RM, Kassim H, Pereda CM, Turcios S, Velasco M, Chappe M, Infante I, Bustillo M, Garcia A, Clero E, Maillard S, Salazar S, Rodriguez R, de Vathaire F. Environmental, lifestyle, and anthropometric risk factors for differentiated thyroid cancer in Cuba: a case-control study. Eur Thyroid J. 2014;3:189–196. doi: 10.1159/000362928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Cust AE, Smith BJ, Chau J, van der Ploeg HP, Friedenreich CM, Armstrong BK, Bauman A. Validity and repeatability of the EPIC physical activity questionnaire: a validation study using accelerometers as an objective measure. Int J Behav Nutr Phys Act. 2008;5:33. doi: 10.1186/1479-5868-5-33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Brantsaeter AL, Owe KM, Haugen M, Alexander J, Meltzer HM, Longnecker MP. Validation of self-reported recreational exercise in pregnant women in the Norwegian Mother and Child Cohort Study. Scand J Med Sci Sports. 2010;20:e48–e55. doi: 10.1111/j.1600-0838.2009.00896.x. [DOI] [PMC free article] [PubMed] [Google Scholar]

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