Skip to main content
Journal of Epidemiology logoLink to Journal of Epidemiology
. 2013 May 5;23(3):219–226. doi: 10.2188/jea.JE20120199

Body Mass Index and Weight Change During Adulthood Are Associated With Increased Mortality From Liver Cancer: The JACC Study

成年期の肥満度及び体重変化は肝癌死亡リスクと関連する(The JACC Study)

Yuanying Li 1, Hiroshi Yatsuya 2, Kazumasa Yamagishi 3, Kenji Wakai 4, Akiko Tamakoshi 5, Hiroyasu Iso 1
PMCID: PMC3700251  PMID: 23604063

Abstract

Background

We investigated the association of baseline body mass index (BMI) and weight change since age 20 years with liver cancer mortality among Japanese.

Methods

The data were obtained from the Japan Collaborative Cohort Study for Evaluation of Cancer Risk (JACC Study). A total of 31 018 Japanese men and 41 455 Japanese women aged 40 to 79 years who had no history of cancer were followed from 1988 through 2009.

Results

During a median 19-year follow-up, 527 deaths from liver cancer (338 men, 189 women) were documented. There was no association between baseline BMI and liver cancer mortality among men or men with history of liver disease. Men without history of liver disease had multivariable hazard ratios (HR) of 1.95 (95%CI, 1.07–3.54) for BMI less than 18.5 kg/m2 and 1.65 (1.05–2.60) for BMI of 25 kg/m2 or higher, as compared with a BMI of 21.0 to 22.9 kg/m2. BMI was positively associated with liver cancer mortality among women and women with history of liver disease. Weight change since age 20 years was positively associated with liver cancer mortality among women regardless of history of liver disease. Women with history of liver disease had a multivariable HRs of 1.96 (1.05–3.66) for weight gain of 5.0 to 9.9 kg and 2.31 (1.18–4.49) for weight gain of 10 kg or more, as compared with weight change of −4.9 to 4.9 kg.

Conclusions

Both underweight (BMI <18.5 kg/m2) and overweight (BMI ≥25 kg/m2) among men without history of liver disease, and weight gain after age 20 (weight change ≥5 kg) among women with history of liver disease, were associated with increased mortality from liver cancer.

Key words: weight change, body mass index, liver cancer, mortality, prospective study, epidemiology

INTRODUCTION

According to the World Health Organization, liver cancer was responsible for 700 000 deaths worldwide in 2008 and was the third leading cause of cancer death after lung cancer (1.4 million deaths) and stomach cancer (740 000 deaths).1

Meta-analyses2 and systematic reviews3,4 reported associations between excess body weight and higher risk of liver cancer among both men and women. However, few studies have examined the association of weight change with risk of liver cancer.5,6

In a population with a high prevalence of chronic infection with hepatitis C virus (HCV),7 it is important to determine whether body weight and weight change are associated with risk of liver cancer irrespective of viral infection (a major contributor to liver cancer).8 Thus, we chose to examine these associations in relation to the presence or absence of liver disease.

We conducted a prospective study of the associations of BMI at age 20 years, BMI at baseline, and weight change since age 20 years with mortality from liver cancer in a large cohort of Japanese men and women aged 40 to 79 years at baseline.

METHODS

The Japan Collaborative Cohort Study for Evaluation of Cancer Risk (JACC study) was initiated during 1988–1990.9,10 Self-administered questionnaires with items on lifestyle and medical history of cancer, liver disease, gallbladder disease, diabetes mellitus, other diseases, and blood transfusion were completed by 110 588 people (46 398 men and 64 190 women) aged 40 to 79 years from 45 communities across Japan. Among them, 73 463 people (31 321 men and 42 142 women) provided self-reported data on weight and height at baseline and weight at age 20 years. We excluded 303 men and 687 women with a reported history of cancer at baseline, leaving 31 018 men and 41 455 women for the present analysis.

Mortality surveillance was conducted systematically by reviewing death certificates. Participants were followed-up until death or until they moved away from their original community, through the end of 2009 (follow-up of 4, 4, and 2 communities finished at the end of 1999, 2003, and 2008, respectively). The median follow-up period was 19.0 years. Underlying cause of death according to the International Classification of Diseases (ICD-10) was obtained centrally from the Ministry of Health and Welfare. Death from liver cancer was defined as ICD-10 codes C22.0 to C22.9. The present study was approved by the Ethical Committees of Nagoya University and Osaka University.

Variables

Weight (kg) and height (m) were self-reported at baseline. BMI was calculated as weight (kg) divided by height (m) squared and then divided into 5 categories (<18.5, 18.5–20.9, 21.0–22.9, 23.0–24.9, and ≥25 kg/m2); a BMI of 21.0–22.9 kg/m2 served as the reference group. Weight change since age 20 years was calculated by subtracting weight at age 20 years from weight at baseline. Weight change was grouped into 5 categories (≤−10, −9.9 to −5.0, −4.9 to 4.9, 5.0 to 9.9, and ≥10 kg); stable weight (−4.9 to 4.9 kg) was used as the reference group. We asked the subjects, “Do you have a history of physician-diagnosed liver disease such as hepatitis?”. Potential confounding variables were smoking status (never, former, current smoker of <20 cigarettes per day, and current smoker of ≥20 cigarettes per day), ethanol consumption (never, former, current [1–22, 23–45, 46–68, and ≥69 g per day]), hours of walking (<0.5, 0.5, 0.6–0.9, and ≥1.0 h per day), hours of exercise (<1, 1–2, 3–4, and ≥5 per week), frequency of coffee intake (seldom, 1–2 cups per month, 1–2 cups per week, 3–4 cups per week, and almost every day), frequency of fish intake (seldom, 1–2 times per month, 1–2 times per week, 3–4 times per week, and almost every day), education level (<10, 10–12, 13–15, and ≥16 years), area of residence (Hokkaido, Tohoku, Kanto, Chubu, Kinki, Chugoku, and Kyushu regions), and histories of diabetes mellitus, gallbladder disease, and blood transfusion. A positive history of liver disease, with or without present treatment, was also considered.

Statistical analyses

Sex-specific, age-adjusted means (SD) and proportions of potential confounding factors were calculated by a general linear model.

Cox proportional hazards models were used to calculate sex-specific age- and multivariable-adjusted hazard ratios (HRs) and 95% CIs for liver cancer mortality associated with BMI at baseline, BMI at age 20, and weight change since age 20 years. Multivariable-adjusted Cox modeling included continuous age at baseline, smoking status, ethanol consumption, hours of walking and exercise, frequencies of coffee and fish intake, education level, area of residence, and histories of diabetes mellitus, gallbladder disease, blood transfusion, and positive history of liver disease with or without present treatment. For the analysis of weight change, the model was further adjusted for height (continuous) and weight (continuous) at age 20. The P values for linear trends were calculated by assigning the median value of each category to corresponding individuals and treating it as a continuous variable in the model. Testing for trends was performed across the upper 3 categories of BMI (ie, ≥21.0 kg/m2) and weight change (>−5 kg). Testing for overall trends was performed across all 5 categories of BMI and weight change. Multivariable-adjusted HRs were also calculated for a 5-kg increment of weight change if necessary. To identify effect modification of the association between body weight or weight change and risk of liver cancer, additional stratified analyses were conducted based on the presence or absence of history of liver disease at baseline in men and women.

Because lower body weight and weight loss could be due to preclinical liver cancer, and higher body weight or weight gain could be a consequence of ascites associated with liver cancer, we excluded early deaths from liver cancer (ie, those that occurred during the first 10 years after baseline) to reduce reverse causation in our analyses.

All analyses were conducted using SAS version 9.1.3 Service Pack 4 (SAS Institute, Cary, North Carolina, USA). Two-tailed probability values of less than 0.05 were considered to indicate statistical significance.

RESULTS

Mean age at baseline, BMI at baseline, and weight change since age 20 years, in men and women, were 57.2 (10.2) and 56.8 (9.8) years, 22.7 (2.8) and 23.0 (3.2) kg/m2, and 1.7 (8.9) and 2.7 (8.5) kg, respectively (Table 1). We identified 527 deaths (338 men, 189 women) from liver cancer during 1 168 909 follow-up person-years (486 745 in men, 682 164 in women).

Table 1. Sex-specific, age-adjusted means and proportions in all subjects and subjects with and without a self-reported history of liver disease at baseline (JACC study, 1988–2009).

  Men Women


Total History of liver diseasea Total History of liver diseasea


+ +
No. at risk 31 018 2438 25 793 41 455 2304 35 378
Age, years 57.2 (10.2) 58.4 (9.4) 56.6 (10.2) 56.8 (9.8) 58.9 (9.0) 56.1 (9.8)
Weight at baseline, kg 60.3 (8.8) 60.6 (9.1) 60.5 (8.8) 52.6 (7.8) 53.3 (8.5) 52.6 (7.8)
Weight at age 20, kg 58.6 (7.6) 58.4 (7.3) 58.6 (7.5) 49.9 (6.8) 49.7 (6.9) 49.9 (6.7)
Height at baseline, m 163.0 (6.6) 163.1 (6.3) 163.1 (6.6) 151.3 (5.8) 151.3 (5.7) 151.3 (5.8)
BMI at baseline, kg/m2 22.7 (2.8) 22.7 (2.9) 22.7 (2.8) 23.0 (3.2) 23.2 (3.3) 23.0 (3.1)
BMI at age 20, kg/m2 22.1 (2.8) 21.9 (2.6) 22.1 (2.7) 21.8 (3.0) 21.7 (3.0) 21.8 (3.0)
Weight change after age 20, kg 1.7 (8.9) 2.3 (9.2) 1.8 (8.7) 2.7 (8.5) 3.6 (9.1) 2.7 (8.3)
Never smoker, % 20.4 17.3 21.1 93.3 90.8 93.9
Current smoker, % 53.2 50.8 53.5 5.2 6.2 4.8
Never drinker, % 19.4 15.5 19.7 80.8 76.5 81.5
Current drinker, % 73.8 70.2 74.8 17.3 24.7 17.0
Walk 30 min or more/day, % 68.6 64.3 69.1 71.5 68.8 71.7
Exercise 3 hours or more/week, % 14.9 15.4 14.6 9.9 9.2 9.9
Coffee 1 cup or more daily, % 36.6 36.5 36.1 36.1 37.0 35.1
Fish almost daily, % 1.3 1.3 1.3 1.6 1.5 1.6
College or higher education, % 18.6 21.9 18.3 10.7 12.0 10.7
History of diabetes mellitus, % 7.1 15.9 5.3 4.0 9.4 3.1
History of gallbladder disease, % 4.3 10.7 3.2 5.6 18.9 4.1
History of blood transfusion, % 9.4 19.7 7.6 10.3 20.9 9.1
Present treatment of liver disease, % 28.8 22.0

Abbreviation: BMI, body mass index.

aInformation on history of liver disease was missing for 2787 men and 3773 women.

Values are means (SD) or proportions.

There was no association between baseline BMI and mortality from liver cancer among men or men with liver disease. In contrast, among men without a history of liver disease the association was U-shaped: as compared with a BMI of 21.0 to 22.9 kg/m2, the multivariable HR (95% CI) was 1.95 (1.07–3.54) among those with a BMI less than 18.5 kg/m2 and 1.65 (1.05–2.60) among those with a BMI of 25 kg/m2 or higher. BMI was positively associated with mortality from liver cancer among women (P = 0.04 for overall trend) and women with a history of liver disease (P = 0.02 for overall trend), but not among women without a history of liver disease (P = 0.23 for overall trend) (Table 2).

Table 2. Sex-specific, age- and multivariable-adjusted hazard ratios and 95% CIs for mortality from liver cancer according to body mass index (BMI) categories at baseline (JACC study, 1988–2009).

  BMI at baseline (kg/m2) P for
trenda
P for overall
trendb

<18.5 18.5–20.9 21.0–22.9 23.0–24.9 ≥25.0
Men              
No. at risk 1669 7116 8892 7583 5758    
No. of person-years 21 231 107 857 140 791 123 112 93 753    
No. of deaths 32 82 88 73 63    
Crude death ratec 151 76 63 59 67    
Age-adjusted HR (95% CI) 1.87 (1.25–2.82) 1.15 (0.85–1.55) 1 1.01 (0.74–1.37) 1.20 (0.86–1.65) 0.33 0.21
Multivariable HR (95% CI)d 1.42 (0.93–2.15) 1.09 (0.81–1.48) 1 1.04 (0.76–1.42) 1.15 (0.83–1.60) 0.37 0.99
Men with liver disease              
No. at risk 139 544 690 558 507    
No. of person-years 1376 7055 9404 7940 7494    
No. of deaths 13 30 39 34 22    
Crude death ratec 945 425 415 428 294    
Age-adjusted HR (95% CI) 1.86 (0.99–3.51) 0.94 (0.59–1.52) 1 1.06 (0.67–1.67) 0.75 (0.44–1.26) 0.27 0.09
Multivariable HR (95% CI)d 0.99 (0.51–1.95) 0.91 (0.55–1.48) 1 1.03 (0.64–1.66) 0.83 (0.48–1.44) 0.38 0.80
Men without liver disease              
No. at risk 1303 5838 7396 6446 4810    
No. of person-years 17 660 91 245 120 182 107 098 79 876    
No. of deaths 16 39 39 33 37    
Crude death ratec 91 43 32 31 46    
Age-adjusted HR (95% CI) 2.24 (1.25–4.03) 1.25 (0.80–1.96) 1 1.00 (0.63–1.59) 1.58 (1.01–2.48) 0.05 0.75
Multivariable HR (95% CI)d 1.95 (1.07–3.54) 1.22 (0.78–1.91) 1 1.08 (0.68–1.72) 1.65 (1.05–2.60) 0.03 0.78
Women              
No. at risk 2560 8527 11 094 9598 9676    
No. of person-years 38 047 138 984 184 657 159 579 160 898    
No. of deaths 8 36 42 41 62    
Crude death ratec 21 26 23 26 39    
Age-adjusted HR (95% CI) 0.73 (0.34–1.57) 1.10 (0.71–1.72) 1 1.14 (0.74–1.75) 1.63 (1.10–2.41) 0.01 0.01
Multivariable HR (95% CI)d 0.74 (0.35–1.60) 1.08 (0.69–1.68) 1 1.16 (0.75–1.79) 1.42 (0.95–2.13) 0.10 0.04
Women with liver disease              
No. at risk 136 448 572 527 621    
No. of person-years 1722 6176 8157 7546 8749    
No. of deaths 1 16 19 17 30    
Crude death ratec 58 259 233 225 343    
Age-adjusted HR (95% CI) 0.23 (0.03–1.73) 1.11 (0.57–2.15) 1 1.02 (0.53–1.96) 1.49 (0.84–2.66) 0.14 0.05
Multivariable HR (95% CI)d 0.23 (0.03–1.74) 1.14 (0.57–2.29) 1 1.20 (0.60–2.40) 1.72 (0.93–3.18) 0.09 0.02
Women without liver disease              
No. at risk 2121 7282 9572 8196 8207    
No. of person-years 32 776 121 678 163 208 139 737 139 789    
No. of deaths 7 14 19 22 28    
Crude death ratec 21 12 12 16 20    
Age-adjusted HR (95% CI) 1.44 (0.60–3.45) 0.96 (0.48–1.92) 1 1.36 (0.74–2.52) 1.64 (0.91–2.93) 0.10 0.14
Multivariable HR (95% CI)d 1.32 (0.55–3.18) 0.97 (0.49–1.94) 1 1.33 (0.72–2.46) 1.49 (0.83–2.69) 0.27 0.23

aTest for trend refers to a baseline BMI of ≥21.0 kg/m2.

bTest for overall trend refers to a baseline BMI of <18.5 kg/m2.

cMortality rate is expressed as rate per 100 000 person-years.

dMultivariable adjustment: age, smoking status, ethanol consumption, hours of walking, hours of exercise, frequencies of coffee and fish intake, education level, area of residence, histories of diabetes mellitus, gallbladder disease, blood transfusion, and positive history of liver disease with or without present treatment.

No associations were found for BMI at age 20 in either sex (Table 3). Weight change since age 20 years was positively associated with mortality from liver cancer among women, women with a history of liver disease, and women without a history of liver disease (P = 0.01, 0.02, and 0.03, respectively). Among women with a history of liver disease, weight gain of 5.0 to 9.9 kg was associated with a multivariable HR of 1.96 (95% CI, 1.05–3.66) for mortality from liver cancer, and weight gain of 10 kg or more was associated with an HR of 2.31 (1.18–4.49), as compared with women with a weight change of −4.9 to 4.9 kg. The multivariable HRs associated with a 5-kg increment in weight were 1.11 (1.00–1.28), 1.14 (1.00–1.30), and 1.17 (1.00–1.36) among women, women with a history of liver disease, and women without a history of liver disease, respectively. There was no association between weight change and mortality from liver cancer in men (Table 4). The results of the analyses that excluded early deaths from liver cancer were essentially identical. Among overweight men without a history of liver disease the multivariable HR was 1.67 (0.90–3.12), versus a BMI of 21.0 to 22.9 kg/m2. Analysis of the overall trend for BMI categories among women and women with and without a history of liver disease yielded P values of 0.009, 0.02, and 0.06, respectively, in the multivariable model. Analysis of overall trend for weight change in women, women with a history of liver disease, and women without a history of liver disease yielded P values of 0.007, 0.03, and 0.02, respectively (data not shown in table).

Table 3. Sex-specific, age- and multivariable-adjusted hazard ratios and 95% CIs for mortality from liver cancer according to body mass index (BMI) categories at age 20 years (JACC study, 1988–2009).

  BMI at age 20 (kg/m2) P for
trenda
P for overall
trendb

<18.5 18.5–20.9 21.0–22.9 23.0–24.9 ≥25.0
Men              
No. at risk 1805 9180 10 300 6372 3361    
No. of person-years 28 079 148 241 164 069 97 587 48 768    
No. of deaths 14 91 115 75 43    
Crude death ratec 50 61 70 77 88    
Age-adjusted HR (95% CI) 0.78 (0.45–1.36) 0.99 (0.75–1.30) 1 0.96 (0.72–1.29) 1.02 (0.72–1.45) 0.92 0.65
Multivariable HR (95% CI)d 0.74 (0.42–1.29) 0.89 (0.68–1.18) 1 0.92 (0.69–1.24) 0.91 (0.64–1.31) 0.54 0.66
Men with liver disease              
No. at risk 170 735 785 474 274    
No. of person-years 2249 10 227 11 072 6248 3474    
No. of deaths 8 34 48 31 17    
Crude death ratec 356 332 434 496 489    
Age-adjusted HR (95% CI) 0.86 (0.41–1.82) 0.83 (0.53–1.28) 1 1.02 (0.65–1.61) 0.97 (0.55–1.69) 0.98 0.49
Multivariable HR (95% CI)d 0.91 (0.42–1.97) 0.68 (0.43–1.07) 1 0.98 (0.61–1.56) 0.75 (0.41–1.35) 0.36 0.68
Men without liver disease              
No. at risk 1456 7667 8625 5294 2751    
No. of person-years 23 539 127 328 141 043 83 287 40 864    
No. of deaths 4 48 57 33 22    
Crude death ratec 17 38 40 40 54    
Age-adjusted HR (95% CI) 0.78 (0.45–1.36) 0.99 (0.75–1.30) 1 0.96 (0.72–1.29) 1.02 (0.72–1.45) 0.85 0.61
Multivariable HR (95% CI)d 0.50 (0.18–1.39) 1.05 (0.71–1.54) 1 0.81 (0.53–1.25) 0.98 (0.60–1.62) 0.76 0.99
Women              
No. at risk 4061 12 936 11 996 7364 5098    
No. of person-years 64 811 214 456 199 655 122 099 81 143    
No. of deaths 20 49 58 37 25    
Crude death ratec 31 23 29 30 31    
Age-adjusted HR (95% CI) 1.23 (0.74–2.05) 0.90 (0.61–1.32) 1 0.95 (0.63–1.43) 0.77 (0.48–1.23) 0.28 0.25
Multivariable HR (95% CI)d 0.98 (0.58–1.64) 0.85 (0.58–1.25) 1 0.91 (0.60–1.38) 0.73 (0.45–1.18) 0.18 0.49
Women with liver disease              
No. at risk 289 721 582 410 302    
No. of person-years 3746 10 014 8348 6049 4192    
No. of deaths 11 17 28 13 14    
Crude death ratec 294 170 335 215 334    
Age-adjusted HR (95% CI) 1.04 (0.52–2.10) 0.56 (0.31–1.02) 1 0.64 (0.33–1.24) 0.84 (0.44–1.60) 0.60 0.99
Multivariable HR (95% CI)d 0.91 (0.43–1.94) 0.53 (0.29–1.00) 1 0.61 (0.31–1.21) 0.75 (0.37–1.50) 0.32 0.98
Women without liver disease              
No. at risk 3337 11 081 10 396 6311 4253    
No. of person-years 55 240 188 811 176 982 106 855 69 299    
No. of deaths 9 27 25 20 9    
Crude death ratec 16 14 14 19 13    
Age-adjusted HR (95% CI) 1.23 (0.74–2.05) 0.90 (0.61–1.32) 1 0.95 (0.63–1.43) 0.77 (0.48–1.23) 0.25 0.14
Multivariable HR (95% CI)d 1.28 (0.59–2.76) 1.24 (0.72–2.15) 1 1.22 (0.68–2.21) 0.62 (0.29–1.34) 0.30 0.13

aTest for trend refers to a baseline BMI of ≥21.0 kg/m2.

bTest for overall trend refers to a baseline BMI of <18.5 kg/m2.

cMortality rate is expressed as rate per 100 000 person-years.

dMultivariable adjustment: age, smoking status, ethanol consumption, hours of walking, hours of exercise, frequencies of coffee and fish intake, education level, area of residence, histories of diabetes mellitus, gallbladder disease, blood transfusion, and positive history of liver disease with or without present treatment.

Table 4. Sex-specific, age- and multivariable-adjusted hazard ratios and 95% CIs for mortality from liver cancer according to categories of weight change since age 20 years to baseline (JACC study, 1988–2009).

  Weight change from age 20 to baseline (kg) P for
trenda
P for overall
trendb

≤−10.0 −5 to −9.9 −4.9 to 4.9 5.0 to 9.9 ≥10.0
Men              
No. at risk 2454 4831 12 279 5666 5788    
No. of person-years 30 812 70 268 197 516 93 608 94 540    
No. of deaths 27 76 124 55 56    
Crude death ratec 88 108 63 59 59    
Age-adjusted HR (95% CI) 0.94 (0.61–1.43) 1.32 (0.99–1.77) 1 1.06 (0.77–1.46) 1.09 (0.80–1.50) 0.59 0.85
Multivariable HR (95% CI)d 0.68 (0.43–1.08) 1.08 (0.80–1.46) 1 1.06 (0.77–1.47) 0.98 (0.70–1.37) 0.88 0.54
Men with liver disease              
No. at risk 193 390 882 436 537    
No. of person-years 1942 4895 12 357 6322 7752    
No. of deaths 11 29 49 23 26    
Crude death ratec 566 592 397 364 335    
Age-adjusted HR (95% CI) 1.09 (0.56–2.12) 1.26 (0.79–2.00) 1 1.03 (0.62–1.69) 0.97 (0.60–1.56) 0.89 0.48
Multivariable HR (95% CI)d 0.59 (0.28–1.23) 0.93 (0.56–1.54) 1 1.08 (0.64–1.81) 1.03 (0.61–1.72) 0.63 0.33
Men without liver disease              
No. at risk 1908 3880 10 406 4818 4781    
No. of person-years 24 969 58 307 171 105 81 354 80 327    
No. of deaths 13 33 65 28 25    
Crude death ratec 52 57 38 34 31    
Age-adjusted HR (95% CI) 0.95 (0.52–1.73) 1.15 (0.75–1.76) 1 1.03 (0.66–1.61) 0.94 (0.59–1.50) 0.84 0.73
Multivariable HR (95% CI)d 0.69 (0.36–1.34) 0.98 (0.64–1.52) 1 1.08 (0.69–1.70) 1.00 (0.61–1.61) 0.95 0.52
Women              
No. at risk 2269 5811 16 186 8986 8203    
No. of person-years 32 934 92 910 270 774 150 616 134 929    
No. of deaths 10 24 62 46 47    
Crude death ratec 30 26 23 31 35    
Age-adjusted HR (95% CI) 0.77 (0.39–1.52) 0.82 (0.51–1.32) 1 1.44 (0.98–2.10) 1.60 (1.10–2.34) 0.01 0.0006
Multivariable HR (95% CI)d 0.68 (0.34–1.40) 0.83 (0.51–1.35) 1 1.31 (0.89–1.94) 1.41 (0.94–2.11) 0.08 0.01
Women with liver disease              
No. at risk 135 308 789 508 564    
No. of person-years 1750 4400 11 184 7488 7528    
No. of deaths 3 15 21 22 22    
Crude death ratec 171 341 188 294 292    
Age-adjusted HR (95% CI) 0.67 (0.20–2.26) 1.56 (0.80–3.04) 1 1.64 (0.90–2.98) 1.70 (0.94–3.10) 0.06 0.11
Multivariable HR (95% CI)d 0.55 (0.15–2.03) 1.47 (0.72–3.00) 1 1.96 (1.05–3.66) 2.31 (1.18–4.49) 0.02 0.02
Women without liver disease              
No. at risk 1812 4880 14 141 7720 6825    
No. of person-years 27 205 79 851 241 627 132 498 116 006    
No. of deaths 4 6 36 22 22    
Crude death ratec 15 8 15 17 19    
Age-adjusted HR (95% CI) 0.54 (0.19–1.52) 0.35 (0.15–0.84) 1 1.22 (0.72–2.08) 1.36 (0.80–2.30) 0.24 0.003
Multivariable HR (95% CI)d 0.50 (0.17–1.49) 0.35 (0.15–0.85) 1 1.16 (0.68–1.99) 1.14 (0.65–2.00) 0.58 0.03

aTest for trend refers to weight change ≥−4.9 kg.

bTest for overall trend refers to weight change ≤−10.0 kg.

cMortality rate is expressed as rate per 100 000 person-years.

dMultivariable adjustment: age, weight at age 20, height at age 20, smoking status, ethanol consumption, hours of walking, hours of exercise, frequencies of coffee and fish intake, education level, area of residence, histories of diabetes mellitus, gallbladder disease, blood transfusion, and positive history of liver disease with or without present treatment.

DISCUSSION

In this large-scale prospective study of Japanese men and women, we observed that overweight and underweight were associated with liver cancer mortality in men without liver disease and that weight change positively correlated with liver cancer mortality in women, regardless of history of liver disease.

Our results showing an excess risk of mortality from liver cancer in overweight men without a history of liver disease are in line with those from studies of men from the general populations of East Asian countries,11 European countries,5,6 and the United States.12 Among women, we found a weak positive association between BMI categories and liver cancer mortality, which supports previous findings for women from the general populations of the United States12 and Korea.11 The positive association between BMI and liver cancer risk in women with a history of liver disease was in line with previous findings in patients with liver disease, namely, that a higher baseline BMI was predictive of incident liver cancer.1319

Two prospective studies investigated the association of weight change during adulthood with liver cancer risk.5,6 A study of 107 815 Swedish men with a small number of incident liver cancers (n = 55) reported no association between weight gain and risk of liver cancer, as compared with stable weight.5 Another study of 191 927 European men and women found a positive dose-dependent association between weight change after age 20 years and risk of incident liver cancer.6 However, in sex-specific analysis, there was a positive association only among men, perhaps due to the small number of incident liver cancers among women (n = 54). Nonetheless, we found a positive relationship between weight change and liver cancer mortality in women, regardless of history of liver disease, which confirms previous findings among men. Because the numbers of deaths were relatively small in the first 2 weight-change groups (ie, ≤−10.0 and −5 to −9.9 kg) in the analyses of women in the present study, we examined whether combining the first 2 weight-change groups would alter the results; however, the P values were very similar for overall trend. We found no association between weight change since age 20 years and risk of liver cancer in men.

The mechanism linking excess body weight or weight gain during adulthood with higher mortality from liver cancer may be mediated via progression of nonalcoholic fatty liver disease (NAFLD), a clinicopathologic condition that encompasses a wide spectrum of liver tissue changes, ranging from steatosis alone to nonalcoholic steatohepatitis, advanced fibrosis, cirrhosis, and, in the most severe cases, liver cancer.20 Level of obesity was found to be correlated with NAFLD development: a study of 39 151 Japanese adults reported that 12.8% of nonobese subjects (BMI <25 kg/m2), 51.4% of overweight subjects (25 ≤ BMI < 30 kg/m2), and 80.4% of highly obese subjects (BMI ≥30 kg/m2) had fatty liver disease, as determined by abdominal ultrasonography.21 In addition, weight gain during an average of 414 days was found to be an independent risk factor for incident NAFLD in Japanese men and women.22

Second, overweight (BMI ≥25 kg/m2) was associated with a 5-fold risk of fibrosis progression in liver during a 1-year period among people with HCV infection,23 which suggests that overweight increases the risk of liver cancer via progression of liver fibrosis.

Third, it is possible that overweight was confounded by hepatitis C infection. However, according to a nested case-control study24 of a JACC study subsample of approximately 12 000 adults, BMI tended to be inversely associated with HCV infection. For example, among men without liver disease, the proportion of those with HCV infection was 8.9% for a BMI less than 18.5 kg/m2, 7.3% for a BMI of 18.5 to less than 21.0 kg/m2, 6.9% for a BMI of 21.0 to less than 23.0 kg/m2, 6.7% for a BMI of 23.0 to less than 25.0 kg/m2, and 4.7% for a BMI of 25.0 kg/m2 or higher. Thus, it is unlikely that the excess risk of mortality from liver cancer in adults with a BMI of 25.0 kg/m2 or higher was due to HCV infection. However, the excess risk of mortality from liver cancer in those with a BMI less than 18.5 kg/m2 could be confounded by HCV infection.

In the present study, men without liver disease and a baseline BMI less than 18.5 kg/m2 had excess mortality from liver cancer as compared with those with a BMI of 21.0 to 22.9 kg/m2, perhaps because underweight men without liver disease were in a preclinical disease state. Indeed, in our study the proportion of former drinkers was higher among underweight men without liver disease than among men with a BMI of 21.0 to 22.9 kg/m2 (10% vs 5%). However, the associations were weaker in sensitivity analyses that excluded deaths from liver cancer within 10 years (n = 77) and former drinkers (n = 1277) from men without liver disease: the multivariable HRs were 1.80 (95% CI, 0.72–4.53) and 1.86 (95% CI, 0.96–3.58), respectively. Therefore, the increased risk of mortality from liver cancer associated with low BMI is unlikely to be due to reverse causation. The mechanisms responsible should be investigated in future studies.

Our study benefited from a long follow-up period and a large population-based sample, which allowed us to examine associations with liver cancer in narrow ranges of BMI and weight change in both men and women. However, some limitations of the present study should be discussed. First, the lack of information on HCV infection, a major risk factor for liver cancer,8 is a major limitation of the current study. Because most individuals with hepatitis virus infection are asymptomatic, the use of a questionnaire to exclude hepatitis would be insufficient. Second, we used mortality data rather than incidence data as an endpoint. However, the prognosis of liver cancer is generally poor: relative 5-year survival rates were 21.2% to 27.1% from 1993–1996 to 2000–2002, according to statistics by the Japan National Cancer Center,25 which means that most incident cases are detected as mortality cases.25 Third, weight and height were self-reported in the current study and were not validated by actual measurements. However, a previous validation study of a Japanese population indicated that self-reported weight and height strongly correlated with previously measured weight and height: the reported Pearson correlation coefficients for men and women were 0.979 and 0.998 for height and 0.961 and 0.959 for weight, respectively, ie, the differences were immaterial.26 Fourth, weight at age 20 was also self-reported. However, 1 study found that long-term recall of past body weights was reasonably accurate in Japanese adults27 and that people who had experienced weight loss after age 25 years underestimated their past weights, whereas those with stable weight or weight gain overestimated them.27 Recall bias resulting in misclassification of weight changes would likely lead to overestimation of real associations. Fifth, only 70% of the present cases reported their weight at age 20 and at baseline. However, any selection bias caused by missing data is unlikely to affect the results because age (57.0 vs 58.2 years), baseline BMI (22.8 vs 22.7 kg/m2), and other baseline variables were similar between the included and excluded subjects.

In conclusion, underweight (BMI <18.5 kg/m2) and overweight (BMI ≥25 kg/m2) in men without liver disease, and weight gain (weight change ≥5 kg) after age 20 in women with liver disease, were associated with increased mortality from liver cancer. Higher BMI tended to be associated with higher mortality from liver cancer among women and women with a history of liver disease. Weight change was positively associated with increased risk of liver cancer mortality in women with or without liver disease.

ONLINE ONLY MATERIALS

Abstract in Japanese.
je-23-219-s001.pdf (115.1KB, pdf)

ACKNOWLEDGMENTS

The JACC Study has been supported by Grants-in-Aid for Scientific Research from the Ministry of Education, Science, Sports and Culture of Japan (61010076, 62010074, 63010074, 1010068, 2151065, 3151064, 4151063, 5151069, 6279102, and 11181101).

The authors express their appreciation to Dr. Kunio Aoki (Professor Emeritus, Nagoya University School of Medicine), former chairman of the JACC Study Group, and Dr. Haruo Sugano, former Director of the Cancer Institute of the Japanese Foundation for Cancer Research, for greatly contributing to the initiation of the study.

Conflicts of interest: None declared.

Study investigators

The following members of the JACC Study Group are coauthors of this paper: Akiko Tamakoshi (present chairperson of the study group), Hokkaido University Graduate School of Medicine; Mitsuru Mori and Fumio Sakauchi, Sapporo Medical University School of Medicine; Yutaka Motohashi, Akita University School of Medicine; Ichiro Tsuji, Tohoku University Graduate School of Medicine; Yosikazu Nakamura, Jichi Medical School; Hiroyasu Iso, Osaka University School of Medicine; Haruo Mikami, Chiba Cancer Center; Michiko Kurosawa, Juntendo University School of Medicine; Yoshiharu Hoshiyama, Yokohama Soei University; Naohito Tanabe, University of Niigata Prefecture; Koji Tamakoshi, Nagoya University Graduate School of Health Science; Kenji Wakai, Nagoya University Graduate School of Medicine; Shinkan Tokudome, National Institute of Health and Nutrition; Koji Suzuki, Fujita Health University School of Health Sciences; Shuji Hashimoto, Fujita Health University School of Medicine; Shogo Kikuchi, Aichi Medical University School of Medicine; Yasuhiko Wada, Faculty of Nutrition, University of Kochi; Takashi Kawamura, Kyoto University Center for Student Health; Yoshiyuki Watanabe, Kyoto Prefectural University of Medicine Graduate School of Medical Science; Kotaro Ozasa, Radiation Effects Research Foundation; Tsuneharu Miki, Kyoto Prefectural University of Medicine Graduate School of Medical Science; Chigusa Date, School of Human Science and Environment, University of Hyogo; Kiyomi Sakata, Iwate Medical University; Yoichi Kurozawa, Tottori University Faculty of Medicine; Takesumi Yoshimura and Yoshihisa Fujino, University of Occupational and Environmental Health; Akira Shibata, Kurume University; Naoyuki Okamoto, Kanagawa Cancer Center; and Hideo Shio, Moriyama Municipal Hospital.

REFERENCES

  • 1.World health organization report, 2008. Cancer. http://www.who.int/mediacentre/factsheets/fs297/en/ Retrieved Oct. 12, 2012.
  • 2.Larsson SC, Wolk A. Overweight, obesity and risk of liver cancer: A meta-analysis of cohort studies. Br J Cancer. 2007;97:1005–8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Saunders D, Seidel D, Allison M, Lyratzopoulos G. Systematic review: The association between obesity and hepatocellular carcinoma—epidemiological evidence. Aliment Pharmacol Ther. 2010;31:1051–63 [DOI] [PubMed] [Google Scholar]
  • 4.Tanaka K, Tsuji I, Tamakoshi A, Matsuo K, Ito H, Wakai K, et al. . Obesity and liver cancer risk: An evaluation based on a systematic review of epidemiologic evidence among the Japanese population. Jpn J Clin Oncol. 2012;42:212–21 10.1093/jjco/hyr198 [DOI] [PubMed] [Google Scholar]
  • 5.Samanic C, Chow WH, Gridley G, Jarvholm B, Fraumeni JF Jr. Relation of body mass index to cancer risk in 362,552 Swedish men. Cancer Causes Control. 2006;17:901–9 10.1007/s10552-006-0023-9 [DOI] [PubMed] [Google Scholar]
  • 6.Schlesinger S, Aleksandrova K, Pischon T, Fedirko V, Jenab M, Trepo E, et al. . Abdominal obesity, weight gain during adulthood and risk of liver and biliary tract cancer in a European cohort. Int J Cancer. 2013;132(3):645–57 10.1002/ijc.27645 [DOI] [PubMed] [Google Scholar]
  • 7.Yano M, Yatsuhashi H, Inoue O, Inokuchi K, Koga M. Epidemiology and long term prognosis of hepatitis C virus infection in Japan. Gut. 1993;34(2Suppl):S13–6 10.1136/gut.34.2_Suppl.S13 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ikai I, Arii S, Okazaki M, Okita K, Omata M, Kojiro M, et al. . Report of the 17th nationwide follow-up survey of primary liver cancer in Japan. Hepatol Res. 2007;37:676–91 10.1111/j.1872-034X.2007.00119.x [DOI] [PubMed] [Google Scholar]
  • 9.Ohno Y, Tamakoshi A; JACC Study Group . Japan collaborative cohort study for evaluation of cancer risk sponsored by monbusho (JACC study). J Epidemiol. 2001;11:144–50 10.2188/jea.11.144 [DOI] [PubMed] [Google Scholar]
  • 10.Tamakoshi A, Yoshimura T, Inaba Y, Ito Y, Watanabe Y, Fukuda K, et al. . Profile of the JACC study. J Epidemiol. 2005;15Suppl 1:S4–8 10.2188/jea.15.S4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Jee SH, Yun JE, Park EJ, Cho ER, Park IS, Sull JW, et al. . Body mass index and cancer risk in Korean men and women. Int J Cancer. 2008;123:1892–6 10.1002/ijc.23719 [DOI] [PubMed] [Google Scholar]
  • 12.Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ. Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. Adults. N Engl J Med. 2003;348:1625–38 10.1056/NEJMoa021423 [DOI] [PubMed] [Google Scholar]
  • 13.Nair S, Mason A, Eason J, Loss G, Perrillo RP. Is obesity an independent risk factor for hepatocellular carcinoma in cirrhosis? Hepatology. 2002;36:150–5 10.1053/jhep.2002.33713 [DOI] [PubMed] [Google Scholar]
  • 14.N'Kontchou G, Paries J, Htar MT, Ganne-Carrie N, Costentin L, Grando-Lemaire V, et al. . Risk factors for hepatocellular carcinoma in patients with alcoholic or viral C cirrhosis. Clin Gastroenterol Hepatol. 2006;4:1062–8 10.1016/j.cgh.2006.05.013 [DOI] [PubMed] [Google Scholar]
  • 15.Chen CL, Yang HI, Yang WS, Liu CJ, Chen PJ, You SL, et al. . Metabolic factors and risk of hepatocellular carcinoma by chronichepatitis B/C infection: A follow-up study in Taiwan. Gastroenterology. 2008;135:111–21 10.1053/j.gastro.2008.03.073 [DOI] [PubMed] [Google Scholar]
  • 16.Inoue M, Kurahashi N, Iwasaki M, Tanaka Y, Mizokami M, Noda M, et al. . Metabolic factors and subsequent risk of hepatocellular carcinoma by hepatitis virus infection status: A large-scale population-based cohort study of Japanese men and women (JPHC study cohort II). Cancer Causes Control. 2009;20:741–50 10.1007/s10552-008-9287-6 [DOI] [PubMed] [Google Scholar]
  • 17.Ohki T, Tateishi R, Sato T, Masuzaki R, Imamura J, Goto T, et al. . Obesity is an independent risk factor for hepatocellular carcinoma development in chronic hepatitis C patients. Clin Gastroenterol Hepatol. 2008;6:459–64 10.1016/j.cgh.2008.02.012 [DOI] [PubMed] [Google Scholar]
  • 18.Muto Y, Sato S, Watanabe A, Moriwaki H, Suzuki K, Kato A, et al. . Overweight and obesity increase the risk for liver cancer in patients with liver cirrhosis and long-term oral supplementation with branched-chain amino acid granules inhibits liver carcinogenesis in heavier patients with liver cirrhosis. Hepatol Res. 2006;35:204–14 [DOI] [PubMed] [Google Scholar]
  • 19.Kurosaki M, Hosokawa T, Matsunaga K, Hirayama I, Tanaka T, Sato M, et al. . Hepatic steatosis in chronic hepatitis C is a significant risk factor for developing hepatocellular carcinoma independent of age, sex, obesity, fibrosis stage and response to interferon therapy. Hepatol Res. 2010;40:870–7 10.1111/j.1872-034X.2010.00692.x [DOI] [PubMed] [Google Scholar]
  • 20.Marchesini G, Moscatiello S, Di Domizio S, Forlani G. Obesity-associated liver disease. J Clin Endocrinol Metab. 2008;93(11Suppl 1):S74–80 10.1210/jc.2008-1399 [DOI] [PubMed] [Google Scholar]
  • 21.Kojima S, Watanabe N, Numata M, Ogawa T, Matsuzaki S. Increase in the prevalence of fatty liver in Japan over the past 12 years: Analysis of clinical background. J Gastroenterol. 2003;38:954–61 10.1007/s00535-003-1178-8 [DOI] [PubMed] [Google Scholar]
  • 22.Hamaguchi M, Kojima T, Takeda N, Nakagawa T, Taniguchi H, Fujii K, et al. . The metabolic syndrome as a predictor of nonalcoholic fatty liver disease. Ann Intern Med. 2005;143:722–8 [DOI] [PubMed] [Google Scholar]
  • 23.Ortiz V, Berenguer M, Rayón JM, Carrasco D, Berenguer J. Contribution of obesity to hepatitis C-related fibrosis progression. Am J Gastroenterol. 2002;97:2408–14 10.1111/j.1572-0241.2002.05995.x [DOI] [PubMed] [Google Scholar]
  • 24.Wakai K, Kurozawa Y, Shibata A, Fujita Y, Kotani K, Ogimoto I, et al. . Liver cancer risk, coffee, and hepatitis C virus infection: A nested case-control study in Japan. Br J Cancer. 2007;97:426–8 10.1038/sj.bjc.6603891 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Japan National Cancer Center report, 2006. Statistics. http://ganjoho.jp/professional/statistics/statistics.html Retrieved Oct. 29, 2012 (in Japanese).
  • 26.Wada K, Tamakoshi K, Tsunekawa T, Otsuka R, Zhang H, Murata C, et al. . Validity of self-reported height and weight in a Japanese workplace population. Int J Obes (Lond). 2005;29:1093–9 10.1038/sj.ijo.0803012 [DOI] [PubMed] [Google Scholar]
  • 27.Tamakoshi K, Yatsuya H, Kondo T, Hirano T, Hori Y, Yoshida T, et al. . The accuracy of long-term recall of past body weight in Japanese adult men. Int J Obes Relat Metab Disord. 2003;27:247–52 10.1038/sj.ijo.802195 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Abstract in Japanese.
je-23-219-s001.pdf (115.1KB, pdf)

Articles from Journal of Epidemiology are provided here courtesy of Japan Epidemiological Association

RESOURCES