Literature DB >> 29992563

Weight change since age 20 and incident risk of obesity-related cancer in Japan: a pooled analysis of the Miyagi Cohort Study and the Ohsaki Cohort Study.

Mano Wakamatsu1, Yumi Sugawara1, Shu Zhang1, Fumiya Tanji1, Yasutake Tomata1, Ichiro Tsuji1.   

Abstract

It is unclear whether weight change during adulthood affects the risk of obesity-related cancers such as those of the esophagus, colorectum, pancreas, breast, endometrium, and kidney among Japanese, where obesity is less frequent and less severe. We examined the association between weight change during adulthood and the risk of obesity-related cancer among Japanese by conducting a pooled analysis of two prospective studies of residents in Miyagi Prefecture, Japan. A total of 78,743 persons (40,422 women and 38,321 men) aged 40-79 years participated in the Miyagi Cohort Study in 1990 and in the Ohsaki Cohort Study in 1994. Weight change since age 20 was divided into four categories (weight loss; stable weight; moderate weight gain; high weight gain). Cox proportional hazards regression analysis was used to estimate the multivariate hazard ratios (HRs) and 95% confidence intervals (CIs) for obesity-related cancer incidence. During 1,057,899 person-years of follow up, 4,467 cases of obesity-related cancer (women; 1,916 cases, men; 2,551cases) were identified. In women, compared to the stable weight, weight gain was associated with an increased risk of obesity-related cancer (moderate weight gain; HRs = 1.10, 95%CIs: 0.97-1.26, high weight gain; HRs = 1.29, 95%CIs: 1.14-1.47). The results indicate that weight gain since age 20 was associated with a significantly increased risk of obesity-related cancer among Japanese women. By contrast, in men, our study found that weight change is not associated with the incidence of obesity-related cancer.
© 2018 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.

Entities:  

Keywords:  Cohort; Japan; incidence; obesity-related cancer; weight change

Mesh:

Year:  2018        PMID: 29992563      PMCID: PMC6587529          DOI: 10.1002/ijc.31743

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


Introduction

Excess body weight and weight gain during adulthood pose an increased risk of major chronic diseases, including several cancers.1, 2 A study conducted in the United States in 2014 found that excess body weight was associated with 10.9% of all incident cancers in women, and represented the second highest population‐attributable fraction among major risk factors for cancer (PAF).3 Similarly, excess body weight was associated with 4.8% of all incident cancers in men, and represented the third highest PAF. 3 Excess body weight and weight gain during adulthood are important public health problems that affect the incidence of cancer, and weight control during adulthood is effective for prevention of obesity‐related cancer. The association between weight change during adulthood and the risk of obesity‐related cancers has been investigated mainly in western countries. One meta‐analysis including a total of 50 previous studies reported that adult weight gain was associated with an increased risk of postmenopausal breast cancer and endometrial cancer, although it was unrelated to colon cancer in women.4 It is generally recognized that Asian women tend not to be as overweight or obese as western women5, 6, and one study has examined the association between weight change during adulthood and the risk of overall cancer and major site‐specific cancer among Chinese women.7 That study concluded that weight gain since age 20 was associated with an increased risk of postmenopausal breast cancer and endometrial cancer.7 Meanwhile, many of previous studies reported that adult weight gain became more strongly associated with a higher risk of obesity‐related cancer (colorectal, renal, pancreatic, and esophageal cancers) in men.4, 8 However, compared to the number of previous studies conducted in western countries, relatively few studies have examined the association between weight change during adulthood and the risk of obesity‐related cancer among Asian, and no study has examined these associations in Japanese. Therefore, the objective of our study was to examine the association between weight change since age 20 and the risk of obesity‐related cancer, both overall and at individual sites, among Japanese.

Methods

Study population

We carried out a pooled analysis of two prospective cohort studies, the Miyagi Cohort Study and the Ohsaki Cohort Study, details of which have been described previously elsewhere.9, 10, 11 In brief, for the Miyagi Cohort Study, we distributed a self‐administered questionnaire to all 51,921 subjects (26,642 women and 25,279 men) aged 40–64 years resident in 14 municipalities of Miyagi Prefecture, northeastern Japan, between June and August 1990. We collected eligible questionnaires from 24,769 47,605 of those subjects (response rate: 91.7%).9 For the Ohsaki Cohort Study, we distributed a self‐administered questionnaire to all 54,996 subjects (28,515 women and 26,481men) aged 40–79 years living in the catchment area of the Ohsaki Public Health Center, a local government agency that provides preventive health services for the residents of 14 municipalities in Miyagi Prefecture, between September and December 1994. We collected eligible questionnaires from 52,029 of those subjects (response rate: 94.6%).10 The study protocol was reviewed and approved by the Institutional Review Board of Tohoku University Graduate School of Medicine (approved number: 2014–1‐838 for Miyagi, 2014–1‐839 for Ohsaki). We considered the return of self‐administered questionnaires signed by the participants to indicate their consent to participate in the study. We excluded from our analysis 777 subjects who had moved from the study area before the start of follow‐up and one woman whose date of cancer diagnosis was missing in the Ohsaki Cohort Study. Also, during the process of pooling the two cohorts, we identified 5,451 subjects who had participated in both of the cohort studies. Therefore, we eliminated data only for those subjects involved in the Ohsaki Cohort Study, for which the baseline followed that of the Miyagi Cohort Study. In addition, we excluded subjects who had a history of cancer at the baseline (n = 4,094) and those for whom data were missing with regard to weight at the baseline (n = 3,625), weight at age 20 (n = 5,544), and height at the baseline (n = 1,399). After these exclusions, 78,743 subjects (40,422 women and 38,321 men) were eligible for analysis.

Exposure data

We collected data at the baseline for each individual using a self‐completed questionnaire inquiring about age, weight at the baseline, weight at age 20, height, medical history, level of education, smoking status, alcohol consumption, time spent walking, history of cancer in the family, number of births, age at menarche, menopausal status, and use of oral contraceptives. Weight change since age 20 was calculated as the difference between weight at the baseline and weight at age 20. Weight change since age 20 was categorized into quartile values: women; weight loss (<−2.0 kg), stable weight (−2.0 to +4.0 kg), moderate weight gain (+4.1 to +9.0 kg), and high weight gain (> + 9.0 kg), men; weight loss (<−2.9 kg), stable weight (−2.9 to +3.0 kg), moderate weight gain (+3.1 to +8.0 kg), and high weight gain (> + 8.0 kg). We evaluated the validity of self‐reported body height and body weight. Among the study subjects in the Miyagi Cohort Study, 7,153 had had their body height and weight measured during health examinations provided by the local government in 1990. The Pearson's correlation coefficient (r) for self‐reported and measured values was 0.97 for body weight (p < 0.01) and 0.85 for body height (p < 0.01). On the other hand, among the study subjects in the Ohsaki Cohort Study, 14,883 had had their body height and weight measured during local government health examinations in 1995. The Pearson's correlation coefficient for self‐reported and measured values was 0.96 for body weight (p < 0.01) and 0.93 for body height (p < 0.01).12 Thus, the self‐reported weight and height data obtained by these baseline questionnaires were considered to be sufficiently valid.

Follow‐up

The follow‐up period for the Miyagi Cohort Study was from 1 June 1990 to 31 December 2007, and that for the Ohsaki Cohort Study was from 1 January 1995 to 31 March 2008. For both cohorts, we followed the incidence of cancer and residential status using the records of the Miyagi Prefectural Cancer Registry, one of the oldest and most accurate population‐based cancer registries in Japan.13 The endpoints were incidence of obesity‐related cancer and of cancer at individual sites, defined according to the International Classification of Diseases for Oncology, 3rd ed. (ICD‐O‐3). In our study, we defined thirteen cancers (esophageal cancer (C15), gastric cardia cancer (C16.0), colorectal cancer (C18‐20), liver cancer (C22), gallbladder cancer (C23), pancreatic cancer (C25), multiple myeloma (C42.1), postmenopausal breast cancer (C50), endometrial cancer (C54), ovarian cancer (C56), kidney cancer (C64), meningioma (C70) and thyroid cancer (C73) for which the World Cancer Research Fund/American Institute for Cancer Research have judged to have a convincingly increased risk in relation to body fatness.14, 15, 16 During the follow‐up period, the number of individuals lost to follow‐up was 2,425 in the Miyagi Cohort Study (6.0% of the analyzed individuals) and 6,652 in the Ohsaki Cohort Study (17.7%). For each individual, we continued follow‐up until diagnosis of obesity‐related cancer, death, emigration from the study area, or the end of the observation period, whichever occurred first.

Statistical analysis

We prospectively counted the person‐years of follow‐up for each subject. Next, we used Cox proportional hazards regression analysis to estimate the multivariate‐adjusted hazard ratio (HR) and 95% confidence intervals (95% CIs) for incidence of obesity‐related cancer in relation to stable weight as the reference group in both men and women. Also, to consider the effect of reverse causality, we carried out sensitivity analysis excluding cases of obesity‐related cancer that occurred in the first 3 years. The P‐values for the test of linear trend (P for weight gain trend) were calculated using weight change category as a continuous variable. We considered the after variables to be potential confounders: age at the baseline (continuous variable), body mass index (BMI) at age 20 (continuous variable), history of diabetes mellitus (DM) (yes or no), level of education (junior high school, high school, college and university or more, or missing), smoking status (never, former, current smoker, or missing), alcohol consumption (never, former, current drinker, or missing), time spent walking per day (<0.5 h, 0.5–1.0 h, >1.0 h, or missing), history of any cancer in the family (yes or no). In women, we considered the after variables as additional potential confounders, number of births (0, 1, 2, ≥3, or missing), age at menarche (≤13 yr, 14–15 yr, ≥16 yr, missing), menopausal status (premenopausal, postmenopausal, or missing), and use of oral contraceptives (never, ever, or missing). BMI at age 20 was calculated as weight at age 20 divided by the square of height (kg/m2). Missing values for confounders were treated as an additional variable category, and included in the model. To assess whether the association between weight change and the risk of obesity‐related cancer differed between subjects who were of normal weight and overweight at age 20, we conducted stratified analysis according to BMI at age 20 (<25.0 kg/m2, ≥25.0 kg/m2). Interaction between weight gain since age 20 and BMI at age 20 was tested through the addition of cross‐product terms to the multivariate model. All P values were two‐sided, and differences at P < 0.05 were considered statistically significant. All statistical analyses were performed using SAS version 9.4 (SAS Institute, Cary, North Carolina, USA).

Results

Table 1 shows the baseline characteristics of the study participants according to the categories of weight change since age 20. In women, compared to the stable category, the high weight gain category tended to have higher proportions of women who were current smokers, current drinkers, and spent <0.5 h walking per day. Women in the weight loss category tended to be older, postmenopausal and more likely to be current smokers. In contrast, men with the high weight gain category more likely to be never or former smokers.
Table 1

Baseline characteristics of study participants according to weight change since age 20 in pooling data of the Miyagi Cohort Study and the Ohsaki Cohort Study

Weight change since age 20 (kg)P‐value1
lossstablemoderate gainhigh gain
Women
Range <−2.0 −2.0 to + 4.0 +4.1 to + 9.0 > + 9.0
Number of subjects9,91311,1619,5869,762
Age, year (mean ± SD)59.2 ± 10.554.5 ± 9.854.9 ± 9.355.4 ± 9.1<0.01
BMI at baseline2 (kg/m2)21.5 ± 2.522.4 ± 2.424.3 ± 2.426.9 ± 3.1<0.01
BMI at age 203 (kg/m2)24.5 ± 4.122.0 ± 2.421.4 ± 2.320.7 ± 2.4<0.01
History of DM (%)5.13.43.45.2<0.01
Level of education (%)
Junior high school50.540.943.146.2
High school35.442.941.639.6<0.01
College / University or more8.512.310.79.6
Missing5.63.94.64.6
Smoking status (%)
Never66.271.570.468.5
Former1.81.71.82.0<0.01
Current8.16.65.97.6
Missing23.920.221.921.9
Alcohol consumption4 (%)
Never59.359.959.156.4
Former3.82.93.24.2<0.01
Current17.921.720.722.3
Missing19.115.617.017.1
Time spent walking per day (%)
< 0.5 h25.726.427.229.2
0.5–1.0 h23.123.624.924.8<0.01
≥ 1.0 h41.842.339.837.1
Missing9.57.78.18.9
History of any cancer in the family (%)29.729.831.331.3<0.01
Number of births2.8 ± 1.42.6 ± 1.12.6 ± 1.12.7 ± 1.2<0.01
Age at menarche (year)15.2 ± 2.014.8 ± 1.914.9 ± 2.014.9 ± 2.1<0.01
Menopausal status (%)
Premenopausal21.636.332.230.2
Postmenopausal63.653.557.658.8<0.01
Missing14.810.210.211
Use of oral contraceptives (%)
Never80.282.782.481.4
Ever3.85.05.05.0<0.01
Missing16.012.312.613.6
Men
Range <−2.9 −2.9 to + 3.0 +3.1 to + 8.0 > + 8.0
Number of subjects10,36110,2378,4399,284
Age, year (mean ± SD)60.5 ± 9.753.9 ± 9.853.0 ± 9.552.6 ± 9.2<0.01
BMI at baseline2 (kg/m2)21.7 ± 2.522.3 ± 2.224.0 ± 2.126.2 ± 2.7<0.01
BMI at age 203 (kg/m2)24.5 ± 3.622.2 ± 2.221.8 ± 2.021.1 ± 2.2<0.01
History of DM (%)8.94.15.96.2<0.01
Level of education (%)
Junior high school59.047.043.341.7
High school29.738.540.741.5<0.01
College / University or more6.810.512.813.9
Missing4.74.03.22.9
Smoking status (%)
Never12.917.920.221.4
Former20.118.423.826.2<0.01
Current62.660.752.949.9
Missing4.33.03.12.5
Alcohol consumption4 (%)
Never15.415.916.314.9
Former12.96.77.37.2<0.01
Current68.575.174.476.1
Missing3.22.32.01.8
Time spent walking per day (%)
< 0.5 h23.725.329.133.1
0.5–1.0 h20.821.323.824.0<0.01
≥ 1.0 h46.546.941.237.9
Missing9.06.55.95.2
History of any cancer in the family (%)27.327.328.028.0<0.01

Abbreviations: SD, standard deviation; BMI, body mass index; DM, diabetes mellitus.

P‐value is from X2 test.

BMI at the baseline was calculated as weight at the baseline divided by the square of height.

BMI at age 20 was calculated as weight at age 20 divided by the square of height.

Alcohol consumption; lifetime use.

Baseline characteristics of study participants according to weight change since age 20 in pooling data of the Miyagi Cohort Study and the Ohsaki Cohort Study Abbreviations: SD, standard deviation; BMI, body mass index; DM, diabetes mellitus. P‐value is from X2 test. BMI at the baseline was calculated as weight at the baseline divided by the square of height. BMI at age 20 was calculated as weight at age 20 divided by the square of height. Alcohol consumption; lifetime use. A total of 1,057,899 person‐years were accrued, and 4,467cases of obesity‐related cancer (women; 1,916 cases, men; 2,551cases) were documented. Also, 716 cases of obesity‐related cancer (women; 305 cases, men; 411cases) were documented within the first 3 years of follow‐up. Table 2 shows the multivariate‐adjusted HR and 95% CI for obesity‐related cancer and cancer at individual sites according to the categories of weight change since age 20 in women. For women, after adjustment for confounding variables, weight gain was significantly associated with an increased risk of obesity‐related cancer (moderate weight gain; HRs = 1.10, 95% CI: 0.97–1.26, high weight gain; HRs = 1.29, 95% CI: 1.14–1.47, P for weight gain trend <0.01). We also observed that weight gain was associated with an increased risk of colon cancer, postmenopausal breast cancer, and endometrial cancer. For high weight gain, the increased risk of associated colon cancer was significant (HRs = 1.31, 95% CI: 1.01–1.69). For postmenopausal breast cancer, moderate and high weight gain were significantly associated with an increased risk (moderate weight gain; HRs = 1.62, 95%CI: 1.16–2.27, high weight gain; HRs = 1.88, 95%CI: 1.35–2.61). For endometrial cancer, high weight gain was significantly associated with an increased risk (HRs = 1.90, 95% CI: 1.09–3.32). Also, weight loss tended to be associated with a decreased risk of endometrial cancer (HRs = 0.46, 95% CI: 0.21–1.00). For esophageal cancer, both categories of weight gain and weight loss tended to be associated with an increased risk, but not to a significant degree (weight loss; HRs = 1.55, 95%CI: 0.67–3.55, moderate weight gain; HRs = 1.54, 95%CI: 0.68–3.47, high weight gain; HRs = 1.28, 95%CI: 0.55–2.98). Also, after exclusion of incident cases that occurred within the first 3 years of follow‐up, these associations were not observed. For gallbladder cancer, weight gain tended to be associated with an increased risk (moderate weight gain; HRs = 1.41, 95%CI: 0.71–2.81, high weight gain; HRs = 1.90, 95%CI: 0.99–3.65). For kidney cancer, there was a positive association between the high weight gain category and the risk of cancer, but this was not significant (HRs = 1.54, 95% CI: 0.74–3.22). No statistically significant association was observed for gastric cardia cancer, rectal cancer, liver cancer, pancreatic cancer, multiple myeloma, ovarian cancer, meningioma and thyroid cancer. None of the above changed after exclusion of incident cases that occurred within the first 3 years of follow‐up (Table 2).
Table 2

Multivariate‐adjusted HRs and 95% CIs of obesity‐related cancer according to weight change since age 20 a.m.ong women (n = 40.422)

Weight change since age 20 (kg)P for weight gain trend
loss<−2.0stable −2.0 to +4.0moderate gain +4.1 to +9.0high gain > + 9.0
Obesity‐related cancer
Person years129.703154.128133.144134.763
Number of cases459463450544
Age adjusted HR (95% CI)0.95 (0.83–1.08) 1 (ref)1.10 (0.97–1.25) 1.29 (1.14–1.46) <0.01
Multivariate‐adjusted HR11 (95% CI)0.93 (0.81–1.07) 1 (ref)1.10 (0.97–1.26) 1.29 (1.14–1.47) <0.01
Number of cases (excluding cases <3 years)376392389454
Multivariate‐adjusted HR22 (95% CI)0.94 (0.81–1.09) 1.00 (ref)1.12 (0.97–1.29) 1.27 (1.11–1.45) <0.01
Cancer at individual sites
Esophageal cancer
Number of cases16101413
Age adjusted HR (95% CI)1.40 (0.63–3.11) 1.00 (ref)1.58 (0.70–3.57) 1.42 (0.62–3.23) 0.41
Multivariate‐adjusted HR1 (95% CI)1.55 (0.67–3.55) 1.00 (ref)1.54 (0.68–3.47) 1.28 (0.55–2.98) 0.64
Number of cases (excluding cases <3 years)11101310
Multivariate‐adjusted HR2 (95% CI)1.09 (0.44–2.70) 1.00 (ref)1.39 (0.61–3.19) 0.95 (0.39–2.33) 0.98
Gastric cardia cancer
Number of cases910711
Age adjusted HR (95% CI)0.85 (0.34–2.12) 1.00 (ref)0.80 (0.30–2.09) 1.21 (0.51–2.85) 0.67
Multivariate‐adjusted HR1 (95% CI)0.91 (0.35–2.38) 1.00 (ref)0.77 (0.29–2.04) 1.12 (0.47–2.71) 0.98
Number of cases (excluding cases <3 years)6748
Multivariate‐adjusted HR2 (95% CI)0.79 (0.25–2.53) 1.00 (ref)0.62 (0.18–2.14) 1.16 (0.41–3.29) 0.78
Colorectal cancer
Number of cases168159155179
Age adjusted HR (95% CI)1.02 (0.82–1.27) 1.00 (ref)1.10 (0.88–1.37) 1.23 (1.00–1.53) 0.06
Multivariate‐adjusted HR1 (95% CI)1.01 (0.80–1.27) 1.00 (ref)1.11 (0.89–1.38) 1.23 (0.99–1.53) 0.11
Number of cases (excluding cases <3 years)146137132155
Multivariate‐adjusted HR2 (95% CI)1.04 (0.81–1.33) 1.00 (ref)1.09 (0.86–1.39) 1.24 (0.98–1.57) 0.13
Colon cancer
Number of cases122112112130
Age adjusted HR (95% CI)1.01 (0.78–1.31) 1.00 (ref)1.13 (0.87–1.46) 1.26 (0.98–1.63) 0.07
Multivariate‐adjusted HR1 (95% CI)0.97 (0.74–1.27) 1.00 (ref)1.14 (0.88–1.49) 1.31 (1.01–1.69) 0.09
Number of cases (excluding cases <3 years)1089994115
Multivariate‐adjusted HR2 (95% CI)0.99 (0.74–1.31) 1.00 (ref)1.09 (0.82–1.44) 1.31 (1.00–1.72) 0.10
Rectal cancer
Number of cases48504555
Age adjusted HR (95% CI)1.01 (0.67–1.50) 1.00 (ref)1.03 (0.69–1.53) 1.22 (0.83–1.79) 0.31
Multivariate‐adjusted HR1 (95% CI)1.10 (0.73–1.68) 1.00 (ref)0.99 (0.66–1.49) 1.10 (0.74–1.63) 0.56
Number of cases (excluding cases <3 years)39413944
Multivariate‐adjusted HR2 (95% CI)1.19 (0.75–1.90) 1.00 (ref)1.03 (0.67–1.61) 1.04 (0.67–1.61) 0.79
Liver cancer
Number of cases46422445
Age adjusted HR (95% CI)0.86 (0.57–1.32) 1.00 (ref)0.65 (0.39–1.08) 1.17 (0.77–1.79) 0.47
Multivariate‐adjusted HR1 (95% CI)0.79 (0.51–1.22) 1.00 (ref)0.65 (0.39–1.07) 1.15 (0.75–1.76) 0.62
Number of cases (excluding cases <3 years)32382235
Multivariate‐adjusted HR2 (95% CI)0.69 (0.43–1.12) 1.00 (ref)0.65 (0.39–1.11) 1.00 (0.63–1.58) 0.87
Gallbladder cancer
Number of cases13151825
Age adjusted HR (95% CI)0.68 (0.32–1.45) 1.00 (ref)1.37 (0.69–2.71) 1.82 (0.96–3.46) 0.07
Multivariate‐adjusted HR1 (95% CI)0.62 (0.28–1.34) 1.00 (ref)1.41 (0.71–2.81) 1.90 (0.99–3.65) 0.04
Number of cases (excluding cases <3 years)10131619
Multivariate‐adjusted HR2 (95% CI)0.56 (0.23–1.32) 1.00 (ref)1.45 (0.70–3.03) 1.62 (0.79–3.33) 0.14
Pancreatic cancer
Number of cases50505142
Age adjusted HR (95% CI)0.85 (0.57–1.26) 1.00 (ref)1.15 (0.78–1.70) 0.91 (0.61–1.38) 0.69
Multivariate‐adjusted HR1 (95% CI)0.77 (0.51–1.17) 1.00 (ref)1.16 (0.78–1.72) 0.89 (0.58–1.34) 0.66
Number of cases (excluding cases <3 years)43464635
Multivariate‐adjusted HR2 (95% CI)0.76 (0.49–1.18) 1.00 (ref)1.14 (0.75–1.71) 0.79 (0.51–1.24) 0.47
Multiple myeloma
Number of cases37231728
Age adjusted HR (95% CI)1.58 (0.93–2.68) 1.00 (ref)0.84 (0.45–1.57) 1.34 (0.77–2.32) 0.29
Multivariate‐adjusted HR1 (95% CI)1.53 (0.89–2.64) 1.00 (ref)0.84 (0.45–1.57) 1.34 (0.77–2.34) 0.23
Number of cases (excluding cases <3 years)31191724
Multivariate‐adjusted HR2 (95% CI)1.61 (0.89–2.92) 1.00 (ref)1.02 (0.53–1.96) 1.39 (0.76–2.56) 0.24
Breast cancer (Postmenopausal)
Number of cases48598396
Age adjusted HR (95% CI)0.79 (0.66–1.16) 1.00 (ref)1.60 (1.14–2.23) 1.79 (1.29–2.47) <0.01
Multivariate‐adjusted HR13 (95% CI)0.78 (0.53–1.17) 1.00 (ref)1.62 (1.16–2.27) 1.88 (1.35–2.61) <0.01
Number of cases (excluding cases <3 years)38526982
Multivariate‐adjusted HR24 (95% CI)0.70 (0.45–1.09) 1.00 (ref)1.53 (1.07–2.20) 1.84 (1.29–2.62) 0.01
Endometrial cancer
Number of cases10212433
Age adjusted HR (95% CI)0.51 (0.24–1.08) 1.00 (ref)1.30 (0.72–2.34) 1.74 (1.01–3.01) 0.05
Multivariate‐adjusted HR1 (95% CI)0.46 (0.21–1.00) 1.00 (ref)1.36 (0.76–2.45) 1.90 (1.09–3.32) 0.02
Number of cases (excluding cases <3 years)7172031
Multivariate‐adjusted HR2 (95% CI)0.41 (0.17–1.03) 1.00 (ref)1.39 (0.73–2.66) 2.15 (1.18–3.94) 0.01
Ovarian cancer
Number of cases29232030
Age adjusted HR (95% CI)1.52 (0.87–2.64) 1.00 (ref)1.01 (0.55–1.84) 1.49 (0.87–2.57) 0.15
Multivariate‐adjusted HR1 (95% CI)1.62 (0.91–2.90) 1.00 (ref)1.03 (0.56–1.87) 1.52 (0.87–2.65) 0.09
Number of cases (excluding cases <3 years)23171722
Multivariate‐adjusted HR2 (95% CI)1.75 (0.90–3.40) 1.00 (ref)1.18 (0.60–2.31) 1.52 (0.80–2.90) 0.14
Kidney cancer
Number of cases1313817
Age adjusted HR (95% CI)0.98 (0.45–2.14) 1.00 (ref)0.70 (0.29–1.68) 1.43 (0.70–2.95) 0.31
Multivariate‐adjusted HR1 (95% CI)0.94 (0.42–2.10) 1.00 (ref)0.73 (0.30–1.75) 1.54 (0.74–3.22) 0.15
Number of cases (excluding cases <3 years)1111715
Multivariate‐adjusted HR2 (95% CI)0.92 (0.38–2.22) 1.00 (ref)0.76 (0.29–1.97) 1.67 (0.76–3.68) 0.14
Meningioma
Number of cases3272
Age adjusted HR (95% CI)1.69 (0.28–10.26) 1.00 (ref)3.99 (0.83–19.20) 1.12 (0.16–7.93) 0.85
Multivariate‐adjusted HR1 (95% CI)2.35 (0.36–15.37) 1.00 (ref)3.89 (0.80–18.91) 1.02 (0.14–7.36) 0.97
Number of cases (excluding cases <3 years)3272
Multivariate‐adjusted HR2 (95% CI)2.35 (0.36–15.37) 1.00 (ref)3.89 (0.80–18.91) 1.02 (0.14–7.36) 0.97
Thyroid cancer
Number of cases28523337
Age adjusted HR (95% CI)0.64 (0.40–1.02) 1.00 (ref)0.73 (0.47–1.14) 0.81 (0.53–1.24) 0.29
Multivariate‐adjusted HR1 (95% CI)0.64 (0.39–1.03) 1.00 (ref)0.72 (0.47–1.12) 0.81 (0.53–1.25) 0.36
Number of cases (excluding cases <3 years)24393030
Multivariate‐adjusted HR2 (95% CI)0.74 (0.44–1.27) 1.00 (ref)0.87 (0.54–1.41) 0.87 (0.53–1.41) 0.61

Abbreviations: HR, hazard ratio; CI, confidence interval; BMI, body mass index; ref, reference.

Multivariate‐adjusted HR1: adjusted for age, BMI at age 20 (continuous variable), history of diabetes mellitus (yes, no), level of education (junior high school or less, high school, and college or higher, missing), smoking status (never, former, current, missing), alcohol consumption (never, former, current, missing), time spent walking per day (<0.5 h, 0.5–1.0 h, >1.0 h, or missing), history of any cancer in the family (yes, no), number of births (0, 1, 2, ≥3, missing), age at menarche (≤13 yr, 14–15 yr, ≥16 yr, missing), menopausal status (premenopausal, postmenopausal, missing), use of oral contraceptives (never, ever, or missing).

Multivariate‐adjusted HR2: After exclusion of incident cases during first 3 years from Multivariate‐adjusted HR1.

Multivariate‐adjusted HR1: menopausal status (premenopausal, postmenopausal, missing) was excluded from adjusted factor.

Multivariate‐adjusted HR2: After exclusion of incident cases during first 3 years from Multivariate‐adjusted HR13.

Multivariate‐adjusted HRs and 95% CIs of obesity‐related cancer according to weight change since age 20 a.m.ong women (n = 40.422) Abbreviations: HR, hazard ratio; CI, confidence interval; BMI, body mass index; ref, reference. Multivariate‐adjusted HR1: adjusted for age, BMI at age 20 (continuous variable), history of diabetes mellitus (yes, no), level of education (junior high school or less, high school, and college or higher, missing), smoking status (never, former, current, missing), alcohol consumption (never, former, current, missing), time spent walking per day (<0.5 h, 0.5–1.0 h, >1.0 h, or missing), history of any cancer in the family (yes, no), number of births (0, 1, 2, ≥3, missing), age at menarche (≤13 yr, 14–15 yr, ≥16 yr, missing), menopausal status (premenopausal, postmenopausal, missing), use of oral contraceptives (never, ever, or missing). Multivariate‐adjusted HR2: After exclusion of incident cases during first 3 years from Multivariate‐adjusted HR1. Multivariate‐adjusted HR1: menopausal status (premenopausal, postmenopausal, missing) was excluded from adjusted factor. Multivariate‐adjusted HR2: After exclusion of incident cases during first 3 years from Multivariate‐adjusted HR13. In addition, we conducted sensitivity analysis excluding any observations that had missing values for confounders (n = 21,952), but the results remained unchanged (Appendix 1). Table 3 shows the multivariate‐adjusted HR and 95% CI for obesity‐related cancer and cancers at individual sites according to the categories of weight change since age 20 in men. For men, after adjustment for confounding variables, weight gain was not associated with an increased risk of obesity‐related cancer (moderate weight gain; HRs = 1.04, 95% CI: 0.91–1.18, high weight gain; HRs = 1.06, 95% CI: 0.94–1.21, P for weight gain trend = 0.23). Furthermore, we observed that weight gain tended to be associated with an increased risk of colon cancer and gallbladder cancer, although the association was not significant. For colon cancer, there was a positive association between the high weight gain category and the risk of cancer, but this was not significant (HRs = 1.22, 95% CI: 0.99–1.51). For gallbladder cancer, as well as for colon cancer, high weight gain was associated with an increased risk, but this was not significant (HRs = 1.53, 95%CI: 0.72–3.25). No statistically significant association was observed for esophageal cancer, gastric cardia cancer, rectal cancer, liver cancer, pancreatic cancer, multiple myeloma, kidney cancer, meningioma or thyroid cancer.
Table 3

Multivariate‐adjusted HRs and 95% CIs of obesity‐related cancer according to weight change since age 20 a.m.ong men (n = 38,321)

Weight change since age 20 (kg)P for weight gain trend
loss <−2.9stable −2.9 to +3.0moderate gain +3.1 to +8.0high gain > + 8.0
Number of subjects10,36110,2378,4399,284
Obesity‐related cancer
Person years124,378137,811115,948128,024
Number of cases831639521560
Age adjusted HR (95% CI)1.03 (0.92–1.14) 1.00 (ref)1.02 (0.91–1.14) 1.03 (0.92–1.15) 0.55
Multivariate‐adjusted HR11 (95% CI)0.98 (0.88–1.09) 1.00 (ref)1.03 (0.91–1.15) 1.03 (0.91–1.15) 0.55
Number of cases (excluding cases <3 years)671535444490
Multivariate‐adjusted HR22 (95% CI)0.99 (0.88–1.12) 1.00 (ref)1.04 (0.91–1.18) 1.06 (0.94–1.21) 0.23
Cancer at individual sites
Esophageal cancer
Number of cases144885257
Age adjusted HR (95% CI)1.35 (1.03–1.77) 1.00 (ref)0.74 (0.52–1.04) 0.75 (0.54–1.05) 0.09
Multivariate‐adjusted HR1 (95% CI)1.35 (1.01–1.79) 1.00 (ref)0.77 (0.54–1.08) 0.78 (0.55–1.10) 0.09
Number of cases (excluding cases <3 years)123784944
Multivariate‐adjusted HR2 (95% CI)1.53 (1.13–2.08) 1.00 (ref)0.79 (0.55–1.13) 0.63 (0.43–0.91) 0.02
Gastric cardia cancer
Number of cases66444239
Age adjusted HR (95% CI)1.17 (0.79–1.73) 1.00 (ref)1.20 (0.79–1.83) 1.04 (0.68–1.60) 0.80
Multivariate‐adjusted HR1 (95% CI)1.00 (0.67–1.49) 1.00 (ref)1.26 (0.82–1.93) 1.15 (0.74–1.79) 0.49
Number of cases (excluding cases <3 years)51333834
Multivariate‐adjusted HR2 (95% CI)1.06 (0.67–1.67) 1.00 (ref)1.53 (0.96–2.45) 1.36 (0.84–2.21) 0.22
Colorectal cancer
Number of cases316286250268
Age adjusted HR (95% CI)0.86 (0.73–1.01) 1.00 (ref)1.10 (0.93–1.30) 1.10 (0.93–1.30) 0.21
Multivariate‐adjusted HR1 (95% CI)0.85 (0.72–1.01) 1.00 (ref)1.08 (0.91–1.28) 1.07 (0.90–1.26) 0.36
Number of cases (excluding cases <3 years)257235207239
Multivariate‐adjusted HR2 (95% CI)0.86 (0.71–1.03) 1.00 (ref)1.09 (0.90–1.32) 1.16 (0.97–1.40) 0.09
Colon cancer
Number of cases212174156187
Age adjusted HR (95% CI)0.92 (0.75–1.13) 1.00 (ref)1.13 (0.91–1.41) 1.28 (1.04–1.57) 0.02
Multivariate‐adjusted HR1 (95% CI)0.92 (0.74–1.14) 1.00 (ref)1.11 (0.89–1.38) 1.22 (0.99–1.51) 0.05
Number of cases (excluding cases <3 years)172147134167
Multivariate‐adjusted HR2 (95% CI)0.88 (0.70–1.12) 1.00 (ref)1.13 (0.89–1.43) 1.31 (1.04–1.64) 0.01
Rectal cancer
Number of cases1131169988
Age adjusted HR (95% CI)0.81 (0.62–1.06) 1.00 (ref)1.06 (0.81–1.39) 0.87 (0.66–1.15) 0.38
Multivariate‐adjusted HR1 (95% CI)0.80 (0.60–1.05) 1.00 (ref)1.06 (0.81–1.39) 0.86 (0.65–1.15) 0.38
Number of cases (excluding cases <3 years)94927778
Multivariate‐adjusted HR2 (95% CI)0.87 (0.64–1.19) 1.00 (ref)1.03 (0.76–1.40) 0.95 (0.70–1.30) 0.78
Liver cancer
Number of cases138867495
Age adjusted HR (95% CI)1.29 (0.98–1.70) 1.00 (ref)1.08 (0.79–1.47) 1.29 (0.96–1.72) 0.09
Multivariate‐adjusted HR1 (95% CI)1.14 (0.86–1.52) 1.00 (ref)1.06 (0.77–1.44) 1.27 (0.95–1.71) 0.12
Number of cases (excluding cases <3 years)98686383
Multivariate‐adjusted HR2 (95% CI)1.11 (0.80–1.54) 1.00 (ref)1.13 (0.80–1.59) 1.39 (1.00–1.93) 0.04
Gallbladder cancer
Number of cases29131016
Age adjusted HR (95% CI)1.56 (0.80–3.04) 1.00 (ref)0.99 (0.43–2.25) 1.51 (0.72–3.13) 0.25
Multivariate‐adjusted HR1 (95% CI)1.56 (0.78–3.11) 1.00 (ref)1.01 (0.44–2.32) 1.53 (0.72–3.25) 0.32
Number of cases (excluding cases <3 years)2611714
Multivariate‐adjusted HR2 (95% CI)1.65 (0.79–3.46) 1.00 (ref)0.83 (0.32–2.16) 1.59 (0.71–3.57) 0.29
Pancreatic cancer
Number of cases83624349
Age adjusted HR (95% CI)1.04 (0.74–1.45) 1.00 (ref)0.87 (0.59–1.29) 0.93 (0.64–1.36) 0.72
Multivariate‐adjusted HR1 (95% CI)1.08 (0.76–1.53) 1.00 (ref)0.86 (0.58–1.27) 0.90 (0.61–1.33) 0.82
Number of cases (excluding cases <3 years)75563943
Multivariate‐adjusted HR2 (95% CI)1.12 (0.77–1.62) 1.00 (ref)0.86 (0.57–1.30) 0.87 (0.57–1.30) 0.67
Multiple myeloma
Number of cases49362522
Age adjusted HR (95% CI)1.10 (0.71–1.71) 1.00 (ref)1.28 (0.81–2.03) 0.71 (0.81–2.03) 0.28
Multivariate‐adjusted HR1 (95% CI)1.12 (0.70–1.77) 1.00 (ref)1.23 (0.77–1.95) 0.66 (0.39–1.14) 0.11
Number of cases (excluding cases <3 years)42323219
Multivariate‐adjusted HR2 (95% CI)1.09 (0.68–1.75) 1.00 (ref)1.24 (0.76–2.03) 0.69 (0.39–1.21) 0.08
Kidney cancer
Number of cases30282827
Age adjusted HR (95% CI)0.87 (0.52–1.47) 1.00 (ref)1.25 (0.74–2.11) 1.12 (0.66–1.90) 0.63
Multivariate‐adjusted HR1 (95% CI)0.75 (0.44–1.30) 1.00 (ref)1.31 (0.77–2.21) 1.24 (0.72–2.12) 0.32
Number of cases (excluding cases <3 years)24242526
Multivariate‐adjusted HR2 (95% CI)0.73 (0.40–1.32) 1.00 (ref)1.34 (0.76–2.35) 1.36 (0.77–2.39) 0.19
Meningioma
Number of cases4411
Age adjusted HR (95% CI)1.01 (0.24–4.24) 1.00 (ref)0.30 (0.03–2.70) 0.28 (0.03–2.46) 0.20
Multivariate‐adjusted HR1 (95% CI)0.91 (0.21–4.08) 1.00 (ref)0.31 (0.03–2.78) 0.29 (0.03–2.67) 0.18
Number of cases (excluding cases <3 years)4311
Multivariate‐adjusted HR2 (95% CI)1.13 (0.23–5.62) 1.00 (ref)0.43 (0.04–4.13) 0.41 (0.04–4.10) 0.35
Thyroid cancer
Number of cases7867
Age adjusted HR (95% CI)0.75 (0.27–2.10) 1.00 (ref)0.93 (0.32–2.67) 1.00 (0.36–2.77) 0.99
Multivariate‐adjusted HR1 (95% CI)0.63 (0.22–1.84) 1.00 (ref)0.96 (0.33–2.77) 1.09 (0.39–3.04) 0.81
Number of cases (excluding cases <3 years)6847
Multivariate‐adjusted HR2 (95% CI)0.55 (0.18–1.69) 1.00 (ref)0.64 (0.19–2.14) 1.11 (0.40–3.12) 0.77

Abbreviations: HR, hazard ratio; CI, confidence interval; BMI, body mass index; ref, reference.

Multivariate‐adjusted HR1: adjusted for age, BMI at age 20 (continuous variable), history of diabetes mellitus (yes, no), level of education (junior high school or less, high school, and college or higher, missing), smoking status (never, former, current, missing), alcohol consumption (never, former, current, missing), time spent walking per day (<0.5 h, 0.5–1.0 h, >1.0 h, or missing), history of any cancer in the family (yes, no).

Multivariate‐adjusted HR2: After exclusion of incident cases during first 3 years from Multivariate‐adjusted HR1.

Multivariate‐adjusted HRs and 95% CIs of obesity‐related cancer according to weight change since age 20 a.m.ong men (n = 38,321) Abbreviations: HR, hazard ratio; CI, confidence interval; BMI, body mass index; ref, reference. Multivariate‐adjusted HR1: adjusted for age, BMI at age 20 (continuous variable), history of diabetes mellitus (yes, no), level of education (junior high school or less, high school, and college or higher, missing), smoking status (never, former, current, missing), alcohol consumption (never, former, current, missing), time spent walking per day (<0.5 h, 0.5–1.0 h, >1.0 h, or missing), history of any cancer in the family (yes, no). Multivariate‐adjusted HR2: After exclusion of incident cases during first 3 years from Multivariate‐adjusted HR1. We further conducted stratified analysis according to BMI at age 20 to assess whether the association between weight change and the risk of obesity‐related cancer differed between subjects who were of normal weight and overweight at age 20 in women. Table 4 shows the multivariate‐adjusted HR for obesity‐related cancer incidence according to BMI at age 20 and weight change categories in women. A positive association between weight gain and the risk of obesity‐related cancer was consistently observed. In women whose BMI at age 20 had been <25.0 kg/m2, high weight gain was significantly associated with an increased risk of obesity‐related cancer (moderate weight gain; HRs = 1.08, 95% CI: 0.94–1.23, high weight gain; HRs = 1.25, 95% CI: 1.10–1.43). Similarly, we found that weight gain was associated with an increased risk of obesity‐related cancer in women whose BMI at age 20 had been ≥25.0 kg/m2 (moderate weight gain; HRs = 1.24, 95% CI: 0.79–1.95, high weight gain; HRs = 1.28, 95% CI: 0.76–2.17). However, no statistically significant effect modifications between weight gain since age 20 and BMI at age 20 were observed (p‐value for weight gain interaction = 0.42).
Table 4

Multivariate‐adjusted HRs and 95% CIs of obesity‐related cancer according to weight change since age 20 stratified by BMI at age 20 in women

Weight change since age 20 (kg)P for weight gain trendP for weight gain interaction
loss <−2.0stable −2.0 to +4.0moderate gain +4.1 to +9.0high gain > + 9.0
BMI at age 20
< 25.0 kg/m2
Number of subjects6,30510,1309,0359,427
Number of cases285416418524
Multivariate‐adjusted HR1 (95% CI)0.96 (0.83–1.12)1.00 (ref)1.08 (0.94–1.23)1.25 (1.10–1.43)<0.01
≥ 25.0 kg/m2 0.42
Number of subjects3,6081,031551335
Number of cases174473220
Multivariate‐adjusted HR (95% CI)1.01 (0.73–1.39)1.00 (ref)1.24 (079–1.95)1.28 (0.76–2.17)0.41

Abbreviations: HR, hazard ratio; CI, confidence interval; BMI, body mass index; ref, reference.

Multivariate‐adjusted HR: adjusted for age (continuous variable), history of diabetes mellitus (yes, no), level of education (junior high school or less, high school, and college or higher, missing), smoking status (never, former, current, missing), alcohol consumption (never, former, current, missing), time spent walking per day (<0.5 h, 0.5–1.0 h, >1.0 h, or missing), history of any cancer in the family (yes, no), number of birth (0, 1,2, ≥3, missing), age at menarche (≤13 yr, 14–15 yr, ≥16 yr, missing), menopausal status (premenopausal, postmenopausal, missing), use of oral contraceptives (never, ever, missing).

Multivariate‐adjusted HRs and 95% CIs of obesity‐related cancer according to weight change since age 20 stratified by BMI at age 20 in women Abbreviations: HR, hazard ratio; CI, confidence interval; BMI, body mass index; ref, reference. Multivariate‐adjusted HR: adjusted for age (continuous variable), history of diabetes mellitus (yes, no), level of education (junior high school or less, high school, and college or higher, missing), smoking status (never, former, current, missing), alcohol consumption (never, former, current, missing), time spent walking per day (<0.5 h, 0.5–1.0 h, >1.0 h, or missing), history of any cancer in the family (yes, no), number of birth (0, 1,2, ≥3, missing), age at menarche (≤13 yr, 14–15 yr, ≥16 yr, missing), menopausal status (premenopausal, postmenopausal, missing), use of oral contraceptives (never, ever, missing).

Discussion

Our study of Japanese women demonstrated an association between weight gain since age 20 and an increased risk of obesity‐related cancer both generally, and for colon cancer, postmenopausal breast cancer, and endometrial cancer. Moreover, weight loss since age 20 tended to be associated with a decreased risk of endometrial cancer. No statistically significant association was observed for esophageal cancer, gastric cardia cancer, rectal cancer, liver cancer, gallbladder cancer, pancreatic cancer, multiple myeloma, ovarian cancer, kidney cancer, meningioma and thyroid cancer. By contrast, our study found that weight change since age 20 was not significantly associated with the incidence of obesity‐related cancer among Japanese men. Many previous studies of obesity‐related cancer have shown that weight gain during adulthood was associated with an increased risk of cancers, such as postmenopausal breast cancer and endometrial cancer in women,1, 4, 5, 6, 7, 8 and the present findings were consistent with those studies. An association between weight gain during adulthood and ovarian cancer, kidney cancer, pancreatic cancer, and esophageal cancers in women has also been reported. However, our results were not consistent with those previous findings. Meanwhile, in men, many previous studies have reported an association between weight gain and the risk of obesity‐related cancers, such as esophageal, gastric cardia, colorectal, pancreatic, and kidney cancer.1, 13, 14, 15, 16 We found that weight gain tended to be associated with an increased risk of colon cancer and gallbladder cancer among men, although this was not significant. Furthermore, stratified analysis according to BMI at age 20 suggested that weight gain since age 20 was associated with an increased risk of obesity‐related cancer for any of the categories of BMI at age 20 in women. Our study suggested that weight gain since age 20 may also affect an increased risk of obesity‐related cancer in Japanese women who have less severe and a low incidence of obesity than western women. In our study, we also observed a significant association for obesity‐related cancer at several sites, such as postmenopausal breast cancer and endometrial cancer. A meta‐analysis including total of 50 studies reported an association between weight gain during adulthood and the risk of 10 adiposity‐related cancers, and weight gain was associated with an increased risk of postmenopausal breast cancer and endometrial cancer.4 With regard to both postmenopausal breast cancer and endometrial cancer, many previous studies of Japanese and Chinese women have already demonstrated a positive association between weight gain during adulthood and the risk of cancer, and the present results are consistent with those findings.7, 17, 18, 19, 20 In addition, our study found that weight loss since age 20 tended to be associated with a decreased risk of endometrial cancer, and this association was observed even after exclusion of incident cases that occurred within the first 3 years of follow‐up. Dougan et al. have reported that weight loss is associated with a return to normal sex hormone‐binding globulin levels, suggesting that the converse is true for weight gain.21 Our findings suggest that weight loss during adulthood is effective for prevention of endometrial cancer. For colon cancer, a meta‐analysis of 10 prospective cohort studies and two case–control studies failed to find a significant association between weight gain and the risk of colon cancer.22 A previous study of Chinese women also found that there was no significant association.7 Unlike those studies, our study observed an association between weight gain since age 20 and an increased risk of colon cancer. A protective effect of exogenous estrogens, such as oral contraceptives and postmenopausal hormone therapy, against colorectal cancer has been pointed out previously.23, 24, 25 Japanese women are less affected by exogenous estrogens because fewer use oral contraceptives and hormone replacement therapy than women in Western countries, and this may have accounted for the increased risk of colon cancer found in the present study.27, 28, 29 In view of the paucity of data for Asian populations, further studies of the association between weight gain during adulthood and the risk of colon cancer will be needed. In addition, for rectal cancer, a meta‐analysis of data from the West failed to find any significant association,22 and the present findings were consistent with this. For kidney cancer, a previous study has reported that individuals with greater adult weight gain have an increased, but not significant, risk.4 A previous study of Chinese women has reported that each 5‐kg increase in body weight was associated with an increased, but not significant, risk of renal cancer, being consistent with our findings.7 For esophageal cancer, our study found that both weight gain and weight loss tended to be associated with an increased risk, but after exclusion of incident cases that occurred within the first 3 years of follow‐up, these associations disappeared. A systematic review conducted in Japan has concluded there is convincing evidence that alcohol drinking increases the risk of esophageal cancer.29 The high weight gain category tended to have a higher proportion of women who were current drinkers, which may have been associated with an increased risk of esophageal cancer, although this association could not be investigated because of the small number of cases. Among possible biological mechanisms by which obesity and weight gain may affect the risk of various cancers, insulin, insulin‐like growth factors (IGFs), sex hormones, and adipokines have been suggested.30, 31 Obesity is correlated with insulin resistance, and this commonly results in hyperinsulinemia.33 In addition, increased serum levels of insulin and insulin‐like growth factor 1 (IGF‐I) are associated with an increased risk of several types of cancer, including colorectal cancer, breast cancer and endometrial cancer.30, 31, 32 Adipokines, which are hormones produced from adipose tissue, are reported to play a role in the association between obesity and cancer incidence; for example, an increased serum level of leptin has been associated with the risk of colorectal cancer, breast cancer and prostate cancer.31 For postmenopausal breast cancer and endometrial cancer, obesity leads to increased serum levels of estradiol through the action of aromatase in adipose tissue, thus affecting the risk of these cancers.30 Our study had several strengths. First, it had a prospective design and a long follow‐up period. Second, we adjusted for various potential confounders, including lifestyle habits, history of disease and hormonal factors. Third, using stratified analysis, we assessed whether the risk of obesity‐related cancer associated with weight change differed between subjects who were of normal weight, and those who were overweight. Our study also had several limitations. First, data on weight were self‐reported. In our data, correlations between measured values and self‐reported values of weight at the baseline were high.12 On the other hand, since there were no data for measured values of weight at age 20, we were unable to evaluate the validity of those data. Second, there may have been residual confounding due to factors that were not measurable, for example genomic data and estrogen receptor status. Finally, in the analysis of esophageal cancer and kidney cancer, the number of cases was lower than for other obesity‐related cancers, and thus the statistical power was insufficient. Our study has shown that weight gain since age 20 was associated with an increased risk of obesity‐related cancer among this cohort of Japanese women. These results provide additional evidence to indicate an association between weight change during adulthood and the incidence of obesity‐related cancers in a population of Asian women, who are known to have less severe, and a lower incidence of, obesity than women in western populations. These results also suggest the importance of maintaining a standard body weight for prevention of obesity‐related cancers among Japanese women.

Funding

Our study was supported by the National Cancer Center Research and Development Fund (27‐A‐4). Appendix 1. Multivariate‐adjusted HRs and 95% CIs of obesity‐related cancer according to weight change since age 20, excludedparticipants that had missing values for confounders in women Click here for additional data file.
  7 in total

Review 1.  Gender Differences in Obesity-Related Cancers.

Authors:  Georgia Argyrakopoulou; Maria Dalamaga; Nikolaos Spyrou; Alexander Kokkinos
Journal:  Curr Obes Rep       Date:  2021-02-01

Review 2.  The Lifelong Health Support 10: a Japanese prescription for a long and healthy life.

Authors:  Ahmed Arafa; Yoshihiro Kokubo; Rena Kashima; Masayuki Teramoto; Yukie Sakai; Saya Nosaka; Youko M Nakao; Emi Watanabe
Journal:  Environ Health Prev Med       Date:  2022       Impact factor: 4.395

3.  Mushroom consumption and incident risk of prostate cancer in Japan: A pooled analysis of the Miyagi Cohort Study and the Ohsaki Cohort Study.

Authors:  Shu Zhang; Yumi Sugawara; Shiuan Chen; Robert B Beelman; Tsuyoshi Tsuduki; Yasutake Tomata; Sanae Matsuyama; Ichiro Tsuji
Journal:  Int J Cancer       Date:  2019-09-04       Impact factor: 7.396

4.  Levels of Physical Fitness and Weight Status in Children and Adolescents: A Comparison between China and Japan.

Authors:  Yuqiang Li; Feng Zhang; Qi Chen; Xiaojian Yin; Cunjian Bi; Xiaofang Yang; Yi Sun; Ming Li; Ting Zhang; Yuan Liu; Tao Chen; Akira Suzuki; Satoshi Haneda
Journal:  Int J Environ Res Public Health       Date:  2020-12-21       Impact factor: 4.614

5.  Preventable fractions of cancer incidence attributable to 7-years weight gain in the Norwegian Women and Cancer (NOWAC) study.

Authors:  Elisabete Weiderpass; Charlotta Rylander; Marisa da Silva; Maarit A Laaksonen; Lauren Lissner
Journal:  Sci Rep       Date:  2021-02-15       Impact factor: 4.379

6.  Body weight variability and cancer incidence in men aged 40 years and older-Korean National Insurance Service Cohort.

Authors:  Yu Jin Cho; Jin Seul Kawk; Hyung-Jin Yoon; Minseon Park
Journal:  Sci Rep       Date:  2021-06-09       Impact factor: 4.379

7.  Racial/ethnic differences in anthropometric and hormone-related factors and endometrial cancer risk: the Multiethnic Cohort Study.

Authors:  Danja Sarink; Lynne R Wilkens; Kami K White; Loïc Le Marchand; Anna H Wu; V Wendy Setiawan; S Lani Park; Song-Yi Park; Jeffrey L Killeen; Melissa A Merritt
Journal:  Br J Cancer       Date:  2021-03-15       Impact factor: 7.640

  7 in total

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