Literature DB >> 21986192

Weight gain during adulthood and body weight at age 20 are associated with the risk of endometrial cancer in Japanese women.

Satoyo Hosono1, Keitaro Matsuo, Kaoru Hirose, Hidemi Ito, Takeshi Suzuki, Takakazu Kawase, Miki Watanabe, Toru Nakanishi, Kazuo Tajima, Hideo Tanaka.   

Abstract

BACKGROUND: Current obesity is an established risk factor for endometrial cancer; however, the roles of weight gain during adulthood and obesity in early adulthood on endometrial cancer have not been elucidated. Here, we conducted a case-control study comprising 222 histologically diagnosed incident endometrial cancer cases and 2162 age- and menstrual-status matched non-cancer controls.
METHODS: Information on current body weight, weight and height at age 20 years, and lifestyle/environmental factors was obtained from a self-administered questionnaire. Subjects were classified into 3 groups according to change in body mass index (BMI, kg/m(2)) from age 20 years to enrollment (≤0 [reference], 0-3, and >3 kg/m(2)). The effects of adult BMI change and obesity in early adulthood were evaluated using an unconditional logistic regression model adjusted for potential confounders.
RESULTS: A high BMI at age 20 (BMI ≥25, BMI <25 as reference) was significantly positively associated with endometrial cancer risk (P = 0.005), as was a BMI increase during adulthood (0-3 BMI change, multivariate odds ratio [OR] = 1.28, 95% confidence interval [CI] = 0.88-1.87; >3 BMI change, OR = 2.02, 95% CI = 1.38-2.96; P-trend < 0.001). Parity and BMI at age 20 appeared to modify the effect of weight gain on cancer risk, albeit without statistical significance. This positive association of weight gain with risk was observed only for endometrioid adenocarcinoma.
CONCLUSIONS: The results show that endometrial cancer is positively associated with obesity at age 20 and weight gain during adulthood among Japanese women.

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Year:  2011        PMID: 21986192      PMCID: PMC3899463          DOI: 10.2188/jea.je20110020

Source DB:  PubMed          Journal:  J Epidemiol        ISSN: 0917-5040            Impact factor:   3.211


INTRODUCTION

Endometrial cancer is an increasingly common gynecologic cancer in Japanese women; the age-standardized incidence rate increased from 1.4 to 7.3 between 1975 and 2005.[1] Interestingly, a marked difference in age-specific incidence has been observed among women older than 50 years.[1] Obesity is an important established risk factor for endometrial cancer,[2],[3] with many studies showing that current obesity is associated with increased risk for endometrial cancer due to the effect of adiposity on the synthesis and bioavailability of endogenous sex steroid hormones, mainly estrogens.[4]–[8] Although the overall prevalence of overweight (body mass index [BMI] ≥25 [kg/m2]) in Japanese women has not changed during the last 20 years, there has been a heterogeneous trend in BMI change across generations: BMI in Japanese women older than 50 years has increased, whereas mean BMI in women aged 20 to 39 has decreased.[9],[10] These trends in age-specific incidence and age-specific BMI suggest a potential association between weight gain during adulthood and endometrial cancer. Although several epidemiologic studies have reported a positive association with weight gain,[5],[8],[11]–[16] the interaction between weight gain during adulthood and various potential confounders, such as parity and physical activity, has remained unclear. Here, we conducted a hospital-based, case-control study to examine the association of endometrial cancer risk with BMI at age 20 and weight gain from age 20 years. We also investigated whether these associations differed with regard to possible confounding factors.

METHODS

Subjects

The cases comprised 222 patients who had received a new histologic diagnosis of endometrial carcinoma between January 2001 and November 2005 at Aichi Cancer Center Hospital (ACCH) in Japan. With regard to histologic subtype, 177 cases were endometrioid adenocarcinoma (79.7%), 31 were other adenocarcinomas (14.0%), and 14 were unknown (6.3%). Mixed epithelial and mesenchymal tumors were excluded due to insufficient information on tumor etiology. Controls (n = 2162) were randomly selected and matched by age (±4 years) and menstrual status (premenopause, perimenopause, or postmenopause) to cases at a 1:10 case-control ratio from 11 814 women who were free of cancer (58 cases were matched with 9 instead of 10 controls each). All subjects were enrolled using the framework of the Hospital-based Epidemiologic Research Program at Aichi Cancer Center (HERPACC), as described elsewhere.[17]–[19] Briefly, using a self-administered questionnaire we collected information on lifestyle factors from all first-visit outpatients aged 20 to 79 years at ACCH who were recruited for HERPACC between January 2001 and November 2005. Patients were also asked about their lifestyle when healthy or before their current symptoms developed. We did not enroll apparently ill patients who had subjective difficulty in answering the questionnaire. A trained interviewer checked responses. Approximately 90% of eligible subjects responded to the questionnaire. Outpatients were also asked to provide blood samples. Our previous study indicated that the lifestyle patterns of first-visit outpatients conformed with those of a randomly selected sample of the general population of Nagoya City.[20] The data were loaded into the HERPACC database and routinely linked with the hospital-based cancer registry system to update data on cancer incidence. We obtained informed consent from all participants, and the Institutional Ethical Committee of Aichi Cancer Center approved this study.

Assessment of anthropometric factors and other exposure data

The HERPACC questionnaire includes anthropometric factors as well as other lifestyle factors, body weight when healthy or before current symptoms developed, height, and body weight at age 20. In the questionnaire, respondents were asked: “current (pre-illness) weight?” and “weight at around age 20?” BMI at enrollment was calculated as weight in kilograms divided by the square of height in meters (kg/m2) from self-reported height and weight. Change in body weight and BMI from age 20 years to enrollment was calculated as: (current body weight) − (body weight at age 20) and (current BMI) − (BMI at age 20), respectively. Weight change per year from age 20 to enrollment was calculated as [(current body weight in kg) − (body weight at age 20 in kg)]/(age at enrollment − 20). This variable was designed to investigate the association between velocity of weight change and endometrial cancer risk. In our previous study, we assessed the validity of self-reported values versus measured values for 100 patients randomly selected from among 173 patients with thyroid cancer by comparing current height, weight, and BMI on the HERPACC questionnaire with the respective values measured and recorded in the medical record by hospital staff on admission to ACCH. Self-recorded and measured values for current height, weight, and BMI were highly correlated, with Pearson’s correlation coefficients of 0.978, 0.910, and 0.913 for women, respectively.[21] Smoking and drinking habits were categorized into 3 categories: never, former, and current. Former smokers and drinkers were defined as ever-smokers and ever-drinkers and included with current smokers and drinkers, respectively, in the analysis. Menstrual status was classified as premenopausal, perimenopausal, or postmenopausal, and premenopausal and perimenopausal women were included in the premenopausal group for the analysis. Postmenopause was defined as the absence of a menstrual cycle for at least 1 year.

Statistical analysis

To evaluate the strength of associations between body weight change and risk of endometrial cancer, odds ratios (ORs) with 95% confidence intervals (CIs) were estimated using unconditional logistic models adjusted for potential confounders. To improve statistical efficiency in stratified analysis, we used unconditional logistic models after confirming the consistency of results from the conditional and unconditional models. For subgroup analysis, subjects were classified by BMI change into 3 groups (≤0, 0–3, and >3 kg/m2). Change in body weight per year from age 20 to enrollment was also divided into 3 groups (≤0, 0–0.19, 0.19–3.50 kg/year, based on median values among controls who had experienced weight gain during adulthood). The potential confounders that were adjusted for in the multivariate analyses were age, smoking habit (never or ever), drinking habit (never or ever), regular exercise (yes or no), age at menarche (≤12, 13–14, or ≥15 years), duration of menstruation (years, tertile), parity (0, 1–2, ≥3), and a history of diabetes (yes or no), contraceptive use (yes or no), and hormone replacement therapy (yes or no). Current BMI and BMI age at 20 were classified into 2 groups (<25 or ≥25 kg/m2) based on our previous study.[15] We defined overweight as a BMI of 25 kg/m2 or higher. Missing values for any covariate were treated as dummy variables in the logistic model. Differences in categorized demographic variables between cases and controls were assessed by the chi-square test. Age, age at menarche, current BMI, BMI at age 20, duration of menstruation, and parity were compared in cases and controls by the Mann-Whitney test. To estimate risks for subgroups, we conducted analysis stratified by menstrual status, regular exercise, parity (0 or ≥1), BMI at age 20 (<25 or ≥25 kg/m2), and histologic subtype (endometrioid or other carcinoma). A P value less than 0.05 was considered to indicate statistical significance. We used STATA version 10.1 (Stata Corp., College Station, TX, USA) for all analyses.

RESULTS

The baseline characteristics of the 222 endometrial cancer patients and 2162 controls are shown in Table 1. Median age was 56.0 years for both cases and controls. Smoking status did not differ between groups: the prevalence of ever-smokers among cases and controls was 14.9% and 18.9%, respectively. A drinking habit was significantly less common among cases (P = 0.002). Current BMI and BMI at age 20 were higher among cases than among controls (P < 0.001). Regarding reproductive factors, low parity was more prevalent (P < 0.001) and duration of menstruation was longer among cases than among controls (P < 0.001). A history of diabetes was more common in cases. There was no difference between groups in regular exercise, age at menarche, history of hypertension, history of oral contraceptive use, or history of hormone replacement therapy use.
Table 1.

Characteristics of subjects

CharacteristicCases(%)Controls(%)P value
Number222 2162  
 
Histology     
 Endometrioid (%)177(79.7)   
 Other carcinoma (%)31(14.0)   
 Unknown (%)14(6.3)   
Age, years    0.771
 (median [min–max])56.0 (25–79) 56.0 (20–79)  
 <40 (%)37(16.8)297(13.7)0.306
 40–54 (%)56(25.2)631(29.2) 
 ≥55 (%)129(58.1)1234(58.1) 
Smoking status     
 Ever (%)33(14.9)1751(18.9)0.153
 Never (%)187(84.2)409(81.0) 
 Unknown (%)2(0.9)2(0.1) 
Drinking status     
 Ever (%)61(27.5)1331(38.4)0.002
 Never (%)159(71.6)830(61.6) 
 Unknown (%)2(0.9)1(0.1) 
Current body mass index    <0.001
 (median [min–max])23.1 (13.4–40.9) 21.6 (13.3–40.9)  
 <25 kg/m2 (%)152(68.5)1804(83.4)<0.001
 ≥25 kg/m2 (%)65(29.3)342(15.8) 
 Unknown (%)5(2.3)16(0.7) 
Body mass index at age 20   0.001
 (median [min–max])20.8 (14.8–34.3) 20.3 (14.9–34.2)  
 <25 kg/m2 (%)196(88.3)2043(94.5)0.001
 ≥25 kg/m2 (%)17(7.7)70(3.2) 
 Unknown (%)9(4.1)49(2.3) 
Regular exercise     
 No (%)69(31.1)618(28.6)0.440
 Yes (%)150(67.6)1512(69.9) 
 Unknown (%)3(1.4)32(1.5) 
Menstrual status     
 Premenopausal (%)78(35.2)738(34.1)0.709
 Postmenopausal (%)141(63.5)1410(65.2) 
 Unknown (%)3(1.4)14(0.7) 
Age at menarche, years    0.241
 (median [min–max])13.0 (9–19) 14.0 (9–22)  
 ≤12 (%)62(27.9)555(25.7)0.340
 13–14 (%)106(47.8)997(46.1) 
 ≥15 (%)47(21.2)556(25.7) 
 Unknown (%)7(3.2)54(2.5) 
Duration of menstruation, years   <0.001
 (median [min–max])36.0 (11–47) 35.0 (6–50)  
 ≤32 (%)57(25.7)732(33.9)0.001
 33–37 (%)69(31.1)780(36.1) 
 >37 (%)83(37.4)574(26.6) 
 Unknown (%)13(5.9)76(3.5) 
Parity    <0.001
 (median [min–max])2 (0–4) 2 (0–7)  
 0 (%)63(28.4)347(16.1)<0.001
 1–2 (%)123(55.4)1318(61.0) 
 ≥3 (%)32(14.4)488(22.6) 
 Unknown (%)4(1.8)9(0.4) 
Diabetes history     
 No (%)207(93.2)2080(96.2)0.033
 Yes (%)15(6.8)82(3.8) 
Hypertension history     
 No (%)186(83.8)1889(87.4)0.129
 Yes (%)36(16.2)273(12.6) 
 
History of contraceptive use    
 No (%)208(93.7)2011(93.0)0.295
 Yes (%)8(3.6)114(5.3) 
 Unknown (%)6(2.7)37(1.7) 
History of hormone replacement therapy    
 No (%)198(89.2)1963(90.8)0.401
 Yes (%)20(9.0)161(7.5) 
 Unknown (%)4(1.8)38(1.8) 
Table 2 shows the association of endometrial cancer risk with current BMI and BMI at age 20. A higher current BMI and a higher BMI at age 20 were associated with increased risk: as compared with women with a BMI less than 25, the multivariate OR of women with a current BMI of 25 or greater was 2.22 (95% CI = 1.59–3.09, P < 0.001), while that of women with a BMI of 25 or greater at age 20 was 2.30 (1.29–4.11, P = 0.005).
Table 2.

Impact of current BMI and BMI at age 20 years on endometrial cancer risk

CategoryCase/controlAge-adjusted OR (95% CI)Multivariate OR (95% CI)a
Current BMI (kg/m2)   
 <25 kg/m2152/18041.00 (Reference)1.00 (Reference)
 ≥25 kg/m265/3422.26 (1.65–3.10)2.22 (1.59–3.09)
 Unknown5/16  
P for trend <0.001<0.001
 
BMI at age 20 years (kg/m2)   
 <25 kg/m2196/20431.00 (Reference)1.00 (Reference)
 ≥25 kg/m217/702.53 (1.46–4.40)2.30 (1.29–4.11)
 Unknown9/49  
P for trend 0.0010.005

aMultivariate models adjusted for age, smoking, drinking, regular exercise, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy.

aMultivariate models adjusted for age, smoking, drinking, regular exercise, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy. Table 3 shows the associations of endometrial cancer risk with BMI and body weight change from age 20 to study enrollment. Regarding BMI change, women who had a BMI increase of 0 to 3 kg/m2 or greater than 3 kg/m2 had a higher risk of endometrial cancer than did those with no BMI increase, with ORs of 1.28 (95% CI = 0.88–1.87) and 2.02 (1.38–2.96), respectively (P-trend < 0.001). A significant positive association with greater body weight change per year was consistently observed from age 20 to enrollment (P-trend = 0.001) and was not changed by adjustment for BMI or body weight at age 20 (P-trend < 0.001). However, after adjusting for current BMI, these positive associations were attenuated.
Table 3.

Odds ratios and 95% CI for endometrial cancer stratified according to BMI change and body weight change from age 20 to enrollment

CategoryCase/controlAge-adjusted OR(95% CI)Multivariate OR(95% CI) in model 1Multivariate OR(95% CI) in model 2Multivariate OR(95% CI) in model 3Multivariate OR(95% CI) in model 4
BMI change from age 20 to enrollment (kg/m2)
 ≤057/7191.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)
 0–373/8041.15 (0.80–1.65)1.28 (0.88–1.87)a1.42 (0.97–2.10)b1.51 (1.02–2.23)c1.26 (0.86–1.84)d
 >382/5811.79 (1.25–2.56)2.02 (1.38–2.96)a2.22 (1.50–3.28)b2.43 (1.64–3.60)c1.48 (0.95–2.29)d
 Unknown10/58     
P for trend0.001<0.001<0.001b0.001c0.075d
 
Body weight change per year from age 20 to enrollment (kg/year)
 ≤059/7201.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)
 0–0.1963/6851.10 (0.75–1.60)1.18 (0.80–1.76)a1.35 (0.90–2.02)b1.41 (0.94–2.12)c1.20 (0.81–1.79)d
 0.19–3.5093/7011.62 (1.15–2.29)1.84 (1.28–2.64)a2.07 (1.42–3.00)b2.20 (1.51–3.20)c1.44 (0.96–2.15)d
 Unknown7/56     
P for trend0.0050.001<0.001<0.001c0.075d

aMultivariate models adjusted for age, smoking, drinking, regular exercise, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy.

bMultivariate models adjusted for age, smoking, drinking, regular exercise, BMI at age 20, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy.

cMultivariate models adjusted for age, smoking, drinking, regular exercise, body weight at age 20, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy.

dMultivariate models adjusted for age, smoking, drinking, regular exercise, current BMI, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy.

aMultivariate models adjusted for age, smoking, drinking, regular exercise, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy. bMultivariate models adjusted for age, smoking, drinking, regular exercise, BMI at age 20, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy. cMultivariate models adjusted for age, smoking, drinking, regular exercise, body weight at age 20, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy. dMultivariate models adjusted for age, smoking, drinking, regular exercise, current BMI, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy. Table 4 shows the joint effect of BMI change on analysis stratified by potential confounders. The positive association between BMI and endometrial cancer risk remained generally consistent after stratification by menstrual status, regular exercise, parity, and BMI at age 20. The multivariate OR of nulliparous women with a BMI change of 0 to 3 kg/m2 was 1.80 (95% CI = 0.91–3.57); among those with a change greater than 3 kg/m2, it was 3.75 (1.67–8.37). However, the P value for interaction was not significant (interaction P = 0.090). With regard to BMI at age 20, women with a BMI of 25 or greater at age 20 had higher ORs (0–3 kg/m2 BMI change: multivariate OR = 2.50, 95% CI = 0.19–33.10; >3 kg/m2 BMI change: 8.02, 0.95–67.51) than did those with a BMI less than 25 (0–3 kg/m2 BMI change: 1.29, 0.86–1.91; >3 kg/m2 BMI change: 1.97, 1.31–2.95). However, the interactions between BMI change and BMI at age 20 were not statistically significant (interaction P = 0.216). On analysis by histologic subtype, positive associations were observed only among patients with endometrioid carcinoma (0–3 kg/m2 BMI change: OR = 1.46, 95% CI = 0.95–2.25; >3 kg/m2 BMI change: 2.50, 1.62–3.85).
Table 4.

Effect of BMI change according to age, menstrual status, exercise, parity, BMI at age 20, and histology on endometrial cancer risk

CategoryBMI change from age 20 to enrollment (kg/m2)P for trend 

≤00–3>3 
Total (case/control)a57/71973/80482/581  
 Age-adjusted OR (95% CI)1.00 (Reference)1.15 (0.80–1.65)1.79 (1.25–2.56)0.001 
 Multivariate OR (95% CI)b1.00 (Reference)1.28 (0.88–1.87)2.02 (1.38–2.96)<0.001 
 
Menstrual status    interaction P = 0.334
 Premenopausal (case/control)20/27435/28321/166  
  Multivariate OR (95% CI)b1.00 (Reference)2.10 (1.11–3.98)2.16 (1.02–4.55)0.036 
 Postmenopausal (case/control)35/43738/51860/412  
  Multivariate OR (95% CI)b1.00 (Reference)0.89 (0.54–1.46)1.82 (1.15–2.88)0.006 
 Unknown (case/control)2/80/31/3  
  interaction P = 0.910interaction P = 0.383  
 
Regular exercise    interaction P = 0875
 No (case/control)17/21526/21723/167  
  Multivariate OR (95% CI)b1.00 (Reference)1.55 (0.79–3.05)1.83 (0.90–3.72)0.097 
 Yes (case/control)40/49446/57857/404  
  Multivariate OR (95% CI)b1.00 (Reference)1.16 (0.73–1.85)2.08 (1.31–3.31)0.002 
 Unknown (case/control)0/101/92/10  
  interaction P = 0.376interaction P = 0.953  
 
Parity    interaction P = 0.090
 0 (case/control)19/17724/11318/48  
  Multivariate OR (95% CI)b1.00 (Reference)1.80 (0.91–3.57)3.75 (1.67–8.37)0.001 
 ≥1 (case/control)37/53749/69061/532  
  Multivariate OR (95% CI)b1.00 (Reference)1.01 (0.64–1.60)1.49 (0.96–2.32)0.058 
 Unknown (case/control)1/50/13/1  
  interaction P = 0.129interaction P = 0.077  
 
BMI at age 20    interaction P = 0.216
 <25 (case/control)49/66370/79977/573  
  Multivariate OR (95% CI)b1.00 (Reference)1.29 (0.86–1.91)1.97 (1.31–2.95)0.001 
 ≥25 (case/control)8/563/55/8  
  Multivariate OR (95% CI)b1.00 (Reference)2.50 (0.19–33.10)8.02 (0.95–67.51)0.056 
  interaction P = 0.164interaction P = 0.263  
 
Histology    Not assessed
 Endometrioid (case/control)42/71959/80469/581  
  Multivariate OR (95% CI)b1.00 (Reference)1.46 (0.95–2.25)2.50 (1.62–3.85)<0.001 
 Other carcinoma (case/control)13/7199/8047/581  
  Multivariate OR (95% CI)b1.00 (Reference)0.50 (0.20–1.26)0.54 (0.20–1.44)0.179 
 Unknown (case/control)2/7195/8046/581  

a10 cases and 58 controls were excluded from the analyses due to lack of information on BMI.

bMultivariate models adjusted for age, smoking, drinking, regular exercise, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy.

a10 cases and 58 controls were excluded from the analyses due to lack of information on BMI. bMultivariate models adjusted for age, smoking, drinking, regular exercise, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy. Table 5 shows the combined effect of BMI at age 20 and current BMI on endometrial cancer risk. As shown in Table 4, obesity at both age 20 and study enrollment increased endometrial cancer risk (OR = 3.45, 95% CI = 1.72–6.92). However, the interaction between BMI at age 20 and BMI at study enrollment was not significant (interaction P = 0.704).
Table 5.

Combined effect of BMI at age 20 and current BMI on endometrial cancer

Category Case/controlAge-adjusted OR(95% CI)Multivariate OR(95% CI)a,b
BMI at age 20 (kg/m2)BMI at enrollment (kg/m2)   
 <25 <25145/17381.00 (Reference)1.00 (Reference)
 ≥25 <253/331.10 (0.33–3.67)1.25 (0.37–4.34)
 <25 ≥2551/2972.07 (1.46–2.92)2.07 (1.44–2.97)
 ≥25 ≥2513/364.33 (2.25–8.35)3.45 (1.72–6.92)
 P for trend <0.001<0.001
 Interaction P 0.3690.704

a10 case and 58 controls were excluded from the analyses due to lack of information on BMI.

bMultivariate models adjusted for age, smoking, drinking, regular exercise, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy.

a10 case and 58 controls were excluded from the analyses due to lack of information on BMI. bMultivariate models adjusted for age, smoking, drinking, regular exercise, age at menarche, duration of menstruation, parity, diabetes history, history of oral contraceptive use, and history of hormone replacement therapy.

DISCUSSION

We found that both BMI at age 20 and current BMI were associated with a significantly increased risk of endometrial cancer. In addition, weight gain from age 20 to study enrollment was associated with a positive risk of endometrial cancer. Further, nulliparous women, or women who were obese at age 20, who had increased body weight during adulthood were likely to have higher ORs, although the interactions between weight gain and these variables were not statistically significant. These positive associations were observed only among cases of endometrioid cancer. Table 2 shows that current obesity (BMI ≥25) and obesity at age 20 were associated with an increased risk of endometrial cancer. This finding for current obesity is consistent with those of other studies.[2],[5],[15] In premenopausal women, obesity causes insulin resistance, which has important effects on ovarian androgen synthesis, anovulation, and chronic progesterone deficiency.[2],[7] Postmenopausal obese women are thought to have higher levels of estrogens derived from extraglandular conversion of androgens.[2],[7] Furthermore, obese women are more likely to have lower levels of sex hormone-binding globulin (SHBG).[2],[3],[22] As a consequence, increased levels of bioavailable estrogen might induce development of endometrial cancer among currently obese women. In contrast, premenopausal obese women are likely to have anovulatory cycles and decreased levels of progesterone. In particular, obese women are exposed to prolonged unopposed estrogens during early adulthood and, as a result, they might have an increased risk of endometrial cancer. The mechanism underlying the association of BMI during early adulthood with subsequent endometrial cancer is not well understood. Obesity at an early age might be determined by genetic constitution and energy intake during puberty.[23],[24] Findings for this association in previous studies have been inconsistent, possibly due to the attenuation of effect by overadjustment for recent body weight.[8],[12],[14],[15],[25] A better understanding of the effect of body weight at early age requires future study. Table 3 shows a positive association between BMI increase and weight gain per year. Studies of the associations of these variables with endometrial cancer have been limited. Park et al showed that women with a BMI gain of 35% or greater had a relative risk of 4.12 (95% CI = 2.69–6.30) as compared with a reference group (−5% ≤ BMI change < +5%).[11] In our previous study, which was independent of the present study, women with a BMI change of 2.50 or greater from age 20 to enrollment had an OR of 1.70 (95% CI = 1.11–2.61) as compared with the reference group (0 < BMI change < 2.50).[15] Other studies have also shown a positive association between adult weight gain and endometrial cancer, with 2- to 3-fold increased risk.[5],[8],[12]–[14] Although the etiologic role of weight gain during adulthood is not clear, our study confirms these previous results. We explored the possibility of interaction by selected factors on the association between BMI change and risk of endometrial cancer (Table 4). Although we observed no statistically significant interaction, several factors were suggestive in terms of mechanism. First, nulliparous women who had weight gain during adulthood were likely to have higher ORs as compared with multiparous women. Second, the impact of BMI change was greater in obese women at age 20 than in nonobese women at that age. In addition, this association was evident only in cases of endometrioid cancer. These findings may be of value in future epidemiologic and biologic studies. There are several potential limitations in our study that should be considered. First, we used self-reported height and body weight. Previous validity studies of body size among Japanese women have reported that women tend to overestimate height and underestimate weight.[26] However, correlation coefficients in our validity study were high and considered acceptable.[21] Second, self-reported body weight at age 20 may be inaccurate. However, the fact that obesity at age 20 is not generally regarded as a risk factor for endometrial cancer likely precludes the possibility of recall bias regarding body size. Third, case-control studies are subject to information bias, although the HERPACC system is less vulnerable to this bias than are typical hospital-based studies, because data for most or all patients are collected before diagnosis. Fourth, because the study was conducted under a hospital-based case-control design, the possibility of inadequate comparability between cases and controls depended on whether the control population was the source population from which the cases arose. However, we selected cases and controls from the same hospital, and almost all these patients live in the Tokai area of central Japan. Validity in the HERPACC study was confirmed in our previous study.[20] Finally, our study had a modest sample size; thus, replication of our findings in other studies is required. In conclusion, this case-control study suggests that weight gain in adulthood increases the risk of endometrial cancer among Japanese. Further, a similar association was observed after stratification by potential confounders. This higher risk of endometrial cancer with increased adult weight might be exacerbated in women who were already obese at age 20, although this effect was not statistically significant in the present research. To prevent endometrial cancer, our findings support the importance of weight control starting in early adulthood. Further investigation of these findings is warranted.
  26 in total

1.  Weight change and risk of endometrial cancer.

Authors:  A Trentham-Dietz; H B Nichols; J M Hampton; P A Newcomb
Journal:  Int J Epidemiol       Date:  2005-11-08       Impact factor: 7.196

Review 2.  Endometrial cancer.

Authors:  Frederic Amant; Philippe Moerman; Patrick Neven; Dirk Timmerman; Erik Van Limbergen; Ignace Vergote
Journal:  Lancet       Date:  2005 Aug 6-12       Impact factor: 79.321

3.  Cancer incidence and incidence rates in Japan in 2005: based on data from 12 population-based cancer registries in the Monitoring of Cancer Incidence in Japan (MCIJ) project.

Authors:  Tomohiro Matsuda; Tomomi Marugame; Ken-ichi Kamo; Kota Katanoda; Wakiko Ajiki; Tomotaka Sobue
Journal:  Jpn J Clin Oncol       Date:  2010-09-06       Impact factor: 3.019

4.  A Model of Practical Cancer Prevention for Out-patients Visiting a Hospital: the Hospital-based Epidemiologic Research Program at Aichi Cancer Center (HERPACC).

Authors:  Kazuo Tajima; Kaoru Hirose; Manami Inoue; Toshiro Takezaki; Nobuyuki Hamajima; Tetsuo Kuroishi
Journal:  Asian Pac J Cancer Prev       Date:  2000

5.  Twenty-year changes in the prevalence of overweight in Japanese adults: the National Nutrition Survey 1976-95.

Authors:  N Yoshiike; F Seino; S Tajima; Y Arai; M Kawano; T Furuhata; S Inoue
Journal:  Obes Rev       Date:  2002-08       Impact factor: 9.213

Review 6.  Teenage obesity in relation to breast cancer risk.

Authors:  B A Stoll
Journal:  Int J Obes Relat Metab Disord       Date:  1998-11

7.  Obesity and risk of cancer in Japan.

Authors:  Shinichi Kuriyama; Yoshitaka Tsubono; Atsushi Hozawa; Taichi Shimazu; Yoshinori Suzuki; Yayoi Koizumi; Yoko Suzuki; Kaori Ohmori; Yoshikazu Nishino; Ichiro Tsuji
Journal:  Int J Cancer       Date:  2005-01-01       Impact factor: 7.396

Review 8.  Endometrial cancer and obesity: epidemiology, biomarkers, prevention and survivorship.

Authors:  Amanda Nickles Fader; Lucybeth Nieves Arriba; Heidi E Frasure; Vivian E von Gruenigen
Journal:  Gynecol Oncol       Date:  2009-04-29       Impact factor: 5.482

9.  Anthropometric factors and risk of endometrial cancer: the European prospective investigation into cancer and nutrition.

Authors:  Christine Friedenreich; Anne Cust; Petra H Lahmann; Karen Steindorf; Marie-Christine Boutron-Ruault; Françoise Clavel-Chapelon; Sylvie Mesrine; Jakob Linseisen; Sabine Rohrmann; Heiner Boeing; Tobias Pischon; Anne Tjønneland; Jytte Halkjaer; Kim Overvad; Michelle Mendez; M L Redondo; Carmen Martinez Garcia; Nerea Larrañaga; María-José Tormo; Aurelio Barricarte Gurrea; Sheila Bingham; Kay-Tee Khaw; Naomi Allen; Tim Key; Antonia Trichopoulou; Effie Vasilopoulou; Dimitrios Trichopoulos; Valeria Pala; Domenico Palli; Rosario Tumino; Amalia Mattiello; Paolo Vineis; H Bas Bueno-de-Mesquita; Petra H M Peeters; Göran Berglund; Jonas Manjer; Eva Lundin; Annekatrin Lukanova; Nadia Slimani; Mazda Jenab; Rudolf Kaaks; Elio Riboli
Journal:  Cancer Causes Control       Date:  2007-02-12       Impact factor: 2.506

10.  Changes in body mass index by birth cohort in Japanese adults: results from the National Nutrition Survey of Japan 1956-2005.

Authors:  Ikuko Funatogawa; Takashi Funatogawa; Mutsuhiro Nakao; Kanae Karita; Eiji Yano
Journal:  Int J Epidemiol       Date:  2008-09-09       Impact factor: 7.196

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  7 in total

1.  Association of adulthood weight gain with circulating adipokine and insulin resistance in the Japanese population.

Authors:  Y Kimura; N M Pham; K Yasuda; A Nanri; K Kurotani; K Kuwahara; S Akter; M Sato; H Hayabuchi; T Mizoue
Journal:  Eur J Clin Nutr       Date:  2014-12-03       Impact factor: 4.016

2.  Anthropometric measures and the risk of endometrial cancer, overall and by tumor microsatellite status and histological subtype.

Authors:  Ernest K Amankwah; Christine M Friedenreich; Anthony M Magliocco; Rollin Brant; Kerry S Courneya; Thomas Speidel; Wahida Rahman; Annie R Langley; Linda S Cook
Journal:  Am J Epidemiol       Date:  2013-05-14       Impact factor: 4.897

3.  Body Size, Metabolic Factors, and Risk of Endometrial Cancer in Black Women.

Authors:  Todd R Sponholtz; Julie R Palmer; Lynn Rosenberg; Elizabeth E Hatch; Lucile L Adams-Campbell; Lauren A Wise
Journal:  Am J Epidemiol       Date:  2016-01-27       Impact factor: 4.897

Review 4.  Obesity as a major risk factor for cancer.

Authors:  Giovanni De Pergola; Franco Silvestris
Journal:  J Obes       Date:  2013-08-29

5.  Parity and endometrial cancer risk: a meta-analysis of epidemiological studies.

Authors:  Qi-Jun Wu; Yuan-Yuan Li; Chao Tu; Jingjing Zhu; Ke-Qing Qian; Tong-Bao Feng; Changwei Li; Lang Wu; Xiao-Xin Ma
Journal:  Sci Rep       Date:  2015-09-16       Impact factor: 4.379

6.  Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.

Authors:  Gregory R Hart; Vanessa Yan; Gloria S Huang; Ying Liang; Bradley J Nartowt; Wazir Muhammad; Jun Deng
Journal:  Front Artif Intell       Date:  2020-11-24

7.  Obesity and the Endometrium: Adipocyte-Secreted Proinflammatory TNF α Cytokine Enhances the Proliferation of Human Endometrial Glandular Cells.

Authors:  Sangeeta Nair; Hovan Nguyen; Salama Salama; Ayman Al-Hendy
Journal:  Obstet Gynecol Int       Date:  2013-10-30
  7 in total

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