BMC Cancer

, 16:402 | Cite as

Pre-diagnostic body mass index and weight change in relation to colorectal cancer survival among incident cases from a population-based cohort study

  • Ida Laake
  • Inger K. Larsen
  • Randi Selmer
  • Inger Thune
  • Marit B. Veierød
Open Access
Research article
Part of the following topical collections:
  1. Epidemiology, prevention and public health

Abstract

Background

Whether excess body weight influences colorectal cancer (CRC) survival is unclear. We studied pre-diagnostic body mass index (BMI) and weight change in relation to CRC-specific mortality among incident CRC cases within a large, Norwegian cohort.

Methods

Participants’ weight was measured at health examinations up to three times between 1974 and 1988. CRC cases were identified through linkage with the Norwegian Cancer Registry. In total, 1336 men and 1180 women with a weight measurement >3 years prior to diagnosis were included in analyses. Hazard ratios (HRs) and confidence intervals (CIs) were estimated with Cox regression.

Results

During a mean follow-up of 5.8 years, 507 men and 432 women died from CRC. Obesity (BMI ≥30 kg/m2) was associated with higher CRC-specific mortality than normal weight (BMI 18.5–25 kg/m2) in men with proximal colon cancer, HR = 1.85 (95 % CI 1.08–3.16) and in women with rectal cancer, HR = 1.93 (95 % CI 1.13–3.30). Weight gain was associated with higher CRC-specific mortality in women with CRC, colon cancer, and distal colon cancer, HRs per 5 kg weight gain were 1.18 (95 % CI 1.01–1.37), 1.22 (95 % CI 1.02–1.45), and 1.40 (95 % CI 1.01–1.95), respectively. Weight gain was not significantly associated with survival in men.

Conclusions

Maintaining a healthy weight may benefit CRC survival, at least in women.

Keywords

Colorectal cancer Survival Body mass index Weight change Cohort study 

Background

Excess body weight is an established risk factor for colorectal cancer (CRC) in both men and women, and a positive association between body mass index (BMI) and CRC incidence has been found in numerous studies [1]. The association is stronger in men than in women and stronger for colon than for rectal cancers [1]. Furthermore, the association seems to be stronger for distal than for proximal colon cancers [2]. These observations support that the biological mechanisms operating may vary by sex and colorectal subsite.

Less is known about the influence of excess body weight on CRC survival. However, it is possible that the mechanisms linking excess body weight to development of CRC tumors, related to e.g. insulin, insulin-like growth factors, inflammation, and steroid hormones, also influence tumor progression and thereby survival of the disease [3, 4]. Some studies have evaluated the association between BMI at the time of treatment, i.e. around the time of diagnosis, and survival after colon [5, 6, 7] or rectal cancer [8, 9], but the results are difficult to interpret since weight loss is a clinical feature of CRC [10]. Thus, the patients’ weight might be a consequence of the disease itself (‘reverse causation’). Moreover, whether maintaining a healthy weight throughout adulthood is important not only for CRC prevention, but also for CRC survival, is not clear from these studies. Pre-diagnostic BMI is probably a better marker of weight across life-course than BMI at the time of diagnosis.

A recent meta-analysis found that pre-diagnostic obesity (BMI ≥30 kg/m2) was significantly associated with poorer survival after CRC [11]. However, this meta-analysis only presented results for men and women combined and for CRC overall. Few of the studies that have evaluated the association between pre-diagnostic BMI and CRC survival have examined whether results differ for men and women [12, 13, 14, 15, 16, 17] or between CRC subsites [12, 13, 14, 17, 18, 19, 20, 21]. Finally, although adult weight gain is related to increased colon cancer risk [22], only one study has examined pre-diagnostic weight change and survival after CRC [17].

We have previously studied BMI and weight change in relation to colon cancer risk in the Norwegian Counties Study [23]. The aim of the present study was to examine sex-specific and subsite-specific associations between BMI and weight change measured prior to diagnosis and survival among incident CRC cases from this cohort.

Methods

The Norwegian counties study

The Norwegian Counties Study is a population-based Norwegian cohort study described in detail elsewhere [23, 24]. In short, participants were examined by a team of trained nurses at health screenings up to three times between 1974 and 1988. The attendance rate was >80 % at all three screenings, and 92,234 men and women attended at least one screening. At each screening, the participants’ height was measured to the nearest centimeter and weight to the nearest 0.5 kilo. Information on lifestyle factors such as smoking habits and recreational and occupational physical activity during the last year was collected with a questionnaire.

Using the unique personal identification number assigned to all Norwegian citizens, information on each participant’s education was obtained from records of the censuses in 1970, 1980, 1990, and 2001. The most recent information available was used.

Case identification

CRC cases were identified through linkage with the Cancer Registry of Norway, i.e. cancers coded as 153 or 154 according to the International Classification of Diseases, Seventh edition (ICD-7). The cases were categorized as colon cancer (ICD-7: 153) or rectal cancer (ICD-7: 154). Furthermore, cancers of the appendix, cecum, ascending or transverse colon (including the hepatic and splenic flexures) (153.0, 153.1, and 153.6) were categorized as proximal colon cancer. Cancers that occurred in the descending colon, sigmoid colon, or rectosigmoid junction (153.2 − 153.4) were categorized as distal colon cancer. We only considered the first cancer diagnosis. Participants diagnosed with multiple malignant tumors at the date of first diagnosis were included as CRC cases if all the cancers occurred in the colorectum. Correspondingly, multiple cancers were included as a cancer of one of the subsites (colon, proximal colon, distal colon, or rectum) if they all occurred in the same subsite. The cases were classified according to stage at diagnosis as localized, regional, or distant. For participants with multiple malignant tumors, stage at diagnosis was defined as the stage of the most advanced.

We identified 2786 cases of CRC among the cohort participants. Of these, 69 were diagnosed with multiple malignant tumors.

Study sample

For each case, we obtained information on weight, smoking, and physical activity level from the most recent screening. This screening was defined as the case’s exposure screening if 1) no information was missing and 2) the screening took place at least 3 years prior to diagnosis. Otherwise, the most recent preceding screening fulfilling these requirements was defined as the exposure screening. Pre-diagnostic BMI (kg/m2) was calculated as weight at the exposure screening divided by height squared, using the mean height from all attended screenings. We excluded 54 cases with missing information on weight, smoking, and physical activity at all three screenings, 35 cases diagnosed before information was collected, and 44 cases diagnosed <3 years after the information was collected. We furthermore excluded 5 cases with no height measurements and 6 cases without information on education. We also excluded 23 cases with BMI <18.5 kg/m2 at the exposure screening due to concerns that their weight was influenced by pre-existing CRC or other underlying health problems that may influence survival. Finally, we excluded 97 cases with unknown stage at diagnosis, 2 cases with date of diagnosis equal to date of death, and 4 cases with date of emigration prior to their date of diagnosis.

In total, 2516 CRC cases, 1336 men and 1180 women, diagnosed between 1978 and 2012, were included in analyses of BMI and CRC survival (Additional file 1 : Figure S1). In men, 847 of the cases were colon cancers, of which 443 occurred in the proximal and 369 in the distal colon, and 478 cases were rectal cancers. In women, 808 cases were colon cancers, 493 were proximal colon cancers, 294 were distal colon cancers, and 367 were rectal cancers.

For analyses of weight change, we furthermore excluded 622 cases with no weight measurements prior to the exposure screening, leaving 999 men (637 colon cancers, 339 proximal colon cancers, 270 distal colon cancers, 351 rectal cancers) and 895 women (608 colon cancers, 383 proximal colon cancers, 207 distal colon cancers, 283 rectal cancers) (Additional file 2: Figure S2).

We determined the power of detecting an effect estimate per 5 unit increase in BMI of 1.20 with a significance level of 0.05 in our study sample [25]. We used the standard deviation of BMI among CRC cases, 3.2 kg/m2 in men and 4.5 kg/m2 in women. In men, the power was 0.87 for CRC, 0.69 for colon cancer, 0.41 for proximal colon cancer, 0.31 for distal colon cancer, and 0.46 for rectal cancer. In women, the power was 0.97, 0.87, 0.68, 0.45, and 0.60 for CRC, colon cancer, proximal colon cancer, distal colon cancer, and rectal cancer, respectively.

The cases were followed from the date of diagnosis until death, emigration, or December 31, 2012. Information on death and emigration was obtained from the Cause of Death Registry and the National Population Registry. CRC-related death was the primary outcome and death from all causes was the secondary outcome. Deaths with cause 153–154 (ICD-8 and ICD-9) or C18–21 (ICD-10) were considered CRC-related deaths.

Statistical analysis

Pre-diagnostic BMI was categorized according to WHO guidelines: 18.5 − 24.9 kg/m2 (normal weight), 25 − 29.9 kg/m2 (overweight), and ≥30 kg/m2 (obese) [26]. Weight change was defined as weight at the exposure screening minus initial weight, i.e., weight at the first attended screening, and was categorized as ≤−2.0 kg (weight loss), −1.9 − 1.9 kg (weight maintenance), 2.0–7.9 kg (moderate weight gain), and ≥8.0 kg (large weight gain).

We examined BMI and weight change in relation to risk of death from CRC, our primary outcome, and risk of death from all causes. Hazard ratios (HRs) and 95 % confidence intervals (CIs) were estimated with Cox regression. We used a stratified Cox model with stage of disease at diagnosis as the strata (localized, regional, or distant) and time since diagnosis as the time variable. We adjusted for smoking (never, former, current) and level of recreational and occupational physical activity combined (sedentary, moderately active, or active) [23], both measured at the exposure screening, education (primary schooling (≤9 years), secondary education (10–12 years), or university level education (≥ 13 years)), age at diagnosis (continuous) and year of diagnosis (< 1990, 1990–94, 1995–99, 2000–2004, and ≥2005). Analyses of weight change were also adjusted for initial BMI (continuous). Adjustment for time between the exposure screening and diagnosis did not change the results and was not included in the model. To test for trend, BMI/weight change was modeled continuously and evaluated with a Wald test. All analyses with continuous weight change were restricted to subjects who maintained or gained weight because we hypothesized that weight loss may cause a J or U-shaped relation. We furthermore tested whether the associations with CRC-specific mortality differed in the colon and rectum or in the proximal and distal colon by testing the difference in trends with a Wald statistic. To assess whether associations differed with sex, we included interaction terms between sex and BMI (continuous) or between sex and weight gain (continuous). For CRC, we also examined whether the association between weight gain (continuous) and mortality differed with initial BMI (<25 kg/m2 and ≥25 kg/m2). Tests of interaction were evaluated with a likelihood ratio test and were done for CRC-specific mortality only. Proportional hazards assumptions were evaluated with a test based on the Schoenfeld residuals. The tests did not indicate violations of the assumption. All tests were two sided, and P < 0.05 was considered statistically significant. The analyses were performed with SAS version 9.4 (SAS Institute, Cary, NC).

Results

Body mass index

Mean age at diagnosis in the BMI study sample (n = 2516) was 66.4 years (range 32.0–85.6) in men and 66.8 years (range 36.0–86.4) in women. During a mean follow-up of 5.8 years, 703 men and 543 women died. Of these, 507 men and 432 women died from CRC. Time from BMI measurement to diagnosis ranged from 3.0 to 37.5 years (mean 17.8 years). Mean pre-diagnostic BMI was similar in men and women, 26.0 kg/m2 and 25.7 kg/m2, respectively. For both men and women, the proportion with a university education was highest among those with normal weight (Table 1). With increasing BMI, the proportion of sedentary subjects increased, the proportion of current smokers decreased, and mean systolic blood pressure increased. Furthermore, age at diagnosis increased and the proportion with distant stage disease decreased with increasing BMI in women.
Table 1

Characteristics of CRC cases by pre-diagnostic BMI, n = 2516

 

MEN

WOMEN

 

BMI (kg/m2)

BMI (kg/m2)

 

18.5–24.9

25–29.9

≥30

18.5–24.9

25–29.9

≥30

Number of cases

544

662

130

626

366

188

Follow-up (years), mean

6.1

5.4

5.5

6.1

5.9

5.7

University level education (%)

13.8

12.7

8.5

12.0

6.8

7.4

Current smokers (%)a

51.1

38.5

35.4

46.0

32.5

22.9

Sedentary (%)a

26.5

26.9

36.2

27.5

32.0

35.6

Systolic blood pressure (mmHg)a, mean

134

138

145

128

137

145

Exposure screening (%)

 Screening 1

7.2

7.4

1.5

9.6

3.3

8.0

 Screening 2

29.6

26.9

30.0

29.9

27.9

22.9

 Screening 3

63.2

65.7

68.5

60.5

68.9

69.1

Age at exposure screening (years), mean

47.9

49.1

49.5

47.8

50.3

50.7

Time between exposure screening and diagnosis (years), mean

17.7

18.2

15.6

18.1

17.5

17.6

Age at diagnosis (years), mean

65.6

67.3

65.1

65.8

67.9

68.2

Stage at diagnosis (%)

 Localized

24.3

24.6

22.3

27.0

25.7

26.6

 Regional

52.4

48.5

52.3

46.3

50.5

53.7

 Distant

23.3

26.9

25.4

26.7

23.8

19.7

a At exposure screening

In men with proximal colon cancer, pre-diagnostic obesity was associated with higher risk of CRC-related death than normal weight, HR = 1.85 (95 % CI 1.08–3.16) (Table 2). BMI was not significantly associated with CRC-specific mortality in men with CRC, colon cancer, distal colon cancer, or rectal cancer. In women, we found no significant associations between BMI and risk of CRC-related death after diagnosis of CRC or cancer of any colon subsite. However, obese women had significantly increased risk of CRC-related death after diagnosis of rectal cancer, HR = 1.93 (95 % CI 1.13–3.30). We found no significant interactions between BMI and sex (Pinteraction ≥ 0.26). The associations between BMI and risk of CRC-related death did not differ significantly with subsite: colon vs. rectum (Pheterogeneity ≥ 0.27), proximal vs. distal colon (Pheterogeneity ≥ 0.33). In contrast with the results on CRC-related death, pre-diagnostic obesity was associated with higher all-cause mortality in men with CRC and colon cancer (Additional file 3: Table S1). In women, associations between pre-diagnostic BMI and all-cause mortality were similar to the associations found for CRC-specific mortality.
Table 2

Hazard ratios and 95 % confidence intervals for CRC-specific mortality by pre-diagnostic BMI

 

BMI (kg/m2)

 
 

18.5–24.9

25–29.9

≥30

Per 5 kg/m2

Ptrenda

MEN

 CRC, n = 1336

  Person-years

3320

3563

710

  

  Number of CRC-related deaths

198

254

55

  

  HR (95 % CI)b

1 (Ref)

0.98 (0.81, 1.18)

1.01 (0.74, 1.37)

0.99 (0.86, 1.14)

0.87

 Colon cancer, n = 847

  Person-years

1936

2144

433

  

  Number of CRC-related deaths

125

158

39

  

  HR (95 % CI)b

1 (Ref)

1.02 (0.80, 1.30)

1.26 (0.87, 1.83)

1.07 (0.90, 1.28)

0.43

 Proximal colon cancer, n = 443

  Person-years

1072

1058

160

  

  Number of CRC-related deaths

63

80

19

  

  HR (95 % CI)b

1 (Ref)

1.17 (0.82, 1.66)

1.85 (1.08, 3.16)

1.19 (0.93, 1.54)

0.17

 Distal colon cancer, n = 369

  Person-years

848

996

272

  

  Number of CRC-related deaths

53

65

18

  

  HR (95 % CI)b

1 (Ref)

0.91 (0.63, 1.33)

0.91 (0.52, 1.59)

0.98 (0.75, 1.30)

0.91

 Rectal cancer, n = 478

  Person-years

1374

1371

273

  

  Number of CRC-related deaths

73

94

16

  

  HR (95 % CI)b

1 (Ref)

0.99 (0.71, 1.37)

0.75 (0.43, 1.33)

0.93 (0.73, 1.17)

0.52

WOMEN

 CRC, n = 1180

  Person-years

3793

2175

1064

  

  Number of CRC-related deaths

220

138

74

  

  HR (95 % CI)b

1 (Ref)

1.07 (0.85, 1.33)

1.31 (0.99, 1.72)

1.04 (0.93, 1.17)

0.51

 Colon cancer, n = 808

  Person-years

2469

1386

760

  

  Number of CRC-related deaths

153

90

50

  

  HR (95 % CI)b

1 (Ref)

0.97 (0.74, 1.27)

1.25 (0.89, 1.74)

1.02 (0.89, 1.18)

0.75

 Proximal colon cancer, n = 493

  Person-years

1279

876

372

  

  Number of CRC-related deaths

93

53

29

  

  HR (95 % CI)b

1 (Ref)

0.89 (0.63, 1.28)

1.23 (0.80, 1.91)

1.02 (0.84, 1.24)

0.82

 Distal colon cancer, n = 294

  Person-years

1160

467

369

  

  Number of CRC-related deaths

54

34

17

  

  HR (95 % CI)b

1 (Ref)

1.33 (0.84, 2.11)

1.18 (0.64, 2.16)

1.06 (0.83, 1.35)

0.65

 Rectal cancer, n = 367

  Person-years

1271

788

283

  

  Number of CRC-related deaths

67

47

24

  

  HR (95 % CI)b

1 (Ref)

1.42 (0.95, 2.13)

1.93 (1.13, 3.30)

1.18 (0.96, 1.47)

0.12

a Wald P-value for BMI as continuous variable

b Stratified Cox model (year of diagnosis: < 1990, 1990–1994, 1995–1999, 2000–2004, ≥ 2005). Adjustment for age at diagnosis, stage of disease at diagnosis (localized, regional, or distant), smoking (never, former, or current), physical activity level (sedentary, moderately active, or active), education (≤ 9, 10-12, or ≥ 13 years)

Weight change

In the weight change study sample (n = 1894), 533 men and 414 women died during follow-up. Of these, 372 men and 326 women died from CRC. Mean weight change was 2.5 kg in men and 2.0 kg in women. Cases who lost weight prior to diagnosis had a higher initial BMI and were more likely to be current smokers than cases who maintained or gained weight (Table 3). Furthermore, the highest proportion of sedentary subjects was found among those who gained ≥8 kg. In men, the proportion with distant stage disease was lowest among those who had maintained their weight and the proportion increased with increasing weight gain, whereas in women the proportion with distant stage disease decreased with increasing weight gain.
Table 3

Characteristics of CRC cases by pre-diagnostic weight change, n = 1894

 

MEN

WOMEN

 

Weight change (kg)

Weight change (kg)

 

≤−2

−1.9–1.9

2.0–7.9

≥8.0

≤−2

−1.9–1.9

2.0–7.9

≥8.0

Number of cases

155

295

418

131

194

256

323

122

Follow-up (years), mean

5.4

6.3

5.4

5.3

5.4

6.1

6.3

5.3

Initial BMI (kg/m2), mean

26.5

25.1

24.8

25.8

27.3

24.5

24.3

25.3

University level education (%)

7.1

9.2

12.0

8.4

5.2

7.4

10.5

10.7

Current smokers (%)a

61.9

47.8

34.0

25.2

46.9

39.5

33.1

34.4

Sedentary (%)a

20.0

20.7

26.6

39.7

31.4

21.9

28.5

37.7

Systolic blood pressure (mmHg)a, mean

137

137

138

143

133

134

134

141

Exposure screening (%)

 Screening 2

31.6

42.7

31.3

14.5

39.2

44.5

30.7

8.2

 Screening 3

68.4

57.3

68.7

85.5

60.8

55.5

69.3

91.8

Age at exposure screening (years), mean

50.7

50.8

50.2

50.7

51.3

50.5

51.2

50.8

Time between exposure screening and diagnosis (years), mean

16.8

17.2

18.0

16.7

18.3

18.1

17.4

16.5

Age at diagnosis (years), mean

67.5

67.9

68.2

67.4

69.6

68.5

68.5

67.3

Stage at diagnosis (%)

 Localized

27.1

26.8

23.9

21.4

27.3

27.0

28.2

27.9

 Regional

45.8

51.2

52.2

51.9

45.4

48.4

48.6

50.8

 Distant

27.1

22.0

23.9

26.7

27.3

24.6

23.2

21.3

a At exposure screening

Pre-diagnostic weight gain was not significantly related to CRC-specific mortality in men, but weight loss was associated with significantly increased risk of CRC-related death compared to weight maintenance in men with rectal cancer, HR = 1.78 (95 % CI 1.06–3.00) (Table 4). In women, weight gain was significantly associated with increased risk of death from CRC after diagnosis of CRC, HR = 1.18 (95 % CI 1.01–1.37) per 5 kg weight gain, Ptrend = 0.03. Moreover, in women with colon cancer, moderate and large weight gain were both associated with significantly increased risk of CRC-related death compared to weight maintenance, HRs = 1.54 (95 % CI 1.08–2.20) and 1.64 (95 % CI 1.03–2.63), respectively, Ptrend = 0.03. For proximal colon cancer, we observed increased risk in women with moderate weight gain, HR = 1.59 (95 % CI 1.01–2.49), but not in women with large weight gain. In women with distal colon cancer, large weight gain was associated with significant, increased risk of CRC-related death compared to weight maintenance, HR = 2.99 (95 % CI 1.27–7.05), Ptrend = 0.04. Weight change was not associated with CRC-specific mortality in women with rectal cancer. No significant interactions between weight gain and sex were observed (Pinteraction ≥ 0.18). The associations did not differ significantly with subsite; colon vs. rectum (Pheterogeneity ≥ 0.38), proximal vs. distal colon (Pheterogeneity ≥ 0.12). We did not observe significant interactions between BMI and weight gain (Pinteraction ≥ 0.33). The results on all-cause mortality were similar to the results on CRC-specific mortality, except that weight gain was not significantly associated with higher all-cause mortality in women with CRC overall (Additional file 4: Table S2).
Table 4

Hazard ratios and 95 % confidence intervals for CRC-specific mortality by pre-diagnostic weight change

 

Weight change (kg)

 
 

≤−2

−1.9–1.9

2.0–7.9

≥8.0

Per 5 kga

Ptrendb

MEN

 CRC, n = 999

  Person-years

836

1844

2240

694

  

  Number of CRC-related deaths

67

109

144

52

  

  HR (95 % CI)c

1.27 (0.93, 1.74)

1 (Ref)

0.95 (0.73, 1.23)

0.93 (0.65, 1.32)

1.01 (0.87, 1.19)

0.86

 Colon cancer, n = 637

  Person-years

505

1043

1454

360

  

  Number of CRC-related deaths

38

70

92

35

  

  HR (95 % CI)c

0.96 (0.64, 1.44)

1 (Ref)

0.81 (0.59, 1.13)

1.02 (0.66, 1.58)

1.05 (0.86, 1.28)

0.62

 Proximal colon cancer, n = 339

  Person-years

304

438

833

120

  

  Number of CRC-related deaths

14

38

52

19

  

  HR (95 % CI)c

0.59 (0.31, 1.12)

1 (Ref)

0.66 (0.42, 1.05)

0.77 (0.40, 1.48)

0.88 (0.63, 1.23)

0.46

 Distal colon cancer, n = 270

  Person-years

195

576

575

224

  

  Number of CRC-related deaths

19

28

33

14

  

  HR (95 % CI)c

1.53 (0.80, 2.93)

1 (Ref)

0.95 (0.55, 1.62)

1.50 (0.75, 3.00)

1.25 (0.94, 1.66)

0.13

 Rectal cancer, n = 351

  Person-years

330

798

737

325

  

  Number of CRC-related deaths

28

39

51

17

  

  HR (95 % CI)c

1.78 (1.06, 3.00)

1 (Ref)

1.21 (0.78, 1.87)

0.76 (0.40, 1.44)

0.95 (0.74, 1.23)

0.70

WOMEN

 CRC, n = 895

  Person-years

1049

1562

2034

646

  

  Number of CRC-related deaths

72

91

119

44

  

  HR (95 % CI)c

1.14 (0.82, 1.59)

1 (Ref)

1.33 (1.01, 1.76)

1.41 (0.97, 2.05)

1.18 (1.01, 1.37)

0.03

 Colon cancer, n = 608

  Person-years

670

1124

1270

473

  

  Number of CRC-related deaths

49

53

85

30

  

  HR (95 % CI)c

1.34 (0.88, 2.02)

1 (Ref)

1.54 (1.08, 2.20)

1.64 (1.03, 2.63)

1.22 (1.02, 1.45)

0.03

 Proximal colon cancer, n = 383

  Person-years

423

673

645

247

  

  Number of CRC-related deaths

32

33

50

18

  

  HR (95 % CI)c

1.28 (0.76, 2.16)

1 (Ref)

1.59 (1.01, 2.49)

1.49 (0.81, 2.75)

1.18 (0.95, 1.47)

0.14

 Distal colon cancer, n = 207

  Person-years

231

449

579

197

  

  Number of CRC-related deaths

15

18

29

12

  

  HR (95 % CI)c

1.52 (0.71, 3.25)

1 (Ref)

1.34 (0.69, 2.60)

2.99 (1.27, 7.05)

1.40 (1.01, 1.95)

0.04

 Rectal cancer, n = 283

  Person-years

379

438

721

173

  

  Number of CRC-related deaths

23

37

34

14

  

  HR (95 % CI)c

0.93 (0.52, 1.64)

1 (Ref)

1.00 (0.60, 1.69)

1.29 (0.67, 2.49)

1.12 (0.82, 1.53)

0.49

a Analyses restricted to cases who maintained or gained weight

b Wald P-value for weight gain as continuous variable

c Stratified Cox model (year of diagnosis: < 1990, 1990–1994, 1995–1999, 2000–2004, ≥2005). Adjustment for age at diagnosis, stage of disease at diagnosis (localized, regional, distant), smoking (never, former, or current), physical activity level (sedentary, moderately active, or active), education (≤9, 10–12, or ≥13 years), and initial BMI (continuous)

Discussion

In this study, obesity prior to diagnosis was significantly associated with higher CRC-specific mortality in men with proximal cancer and in women with rectal cancer. Furthermore, pre-diagnostic weight gain was significantly associated with higher CRC-specific mortality in women with CRC, colon cancer, proximal colon cancer, or distal colon cancer. Weight gain was not related to CRC-specific mortality in men. However, men with rectal cancer who had lost weight prior to diagnosis had increased risk of CRC-related death.

The association between BMI and CRC risk is stronger in men than in women [1], but whether there are sex differences regarding excess body weight and survival after CRC is not known. Our results did not indicate a stronger association in men. Results from previous studies are inconsistent. Men who were obese prior to diagnosis of CRC have been found to have poorer survival [14], while other studies have found weak or no associations [13, 15, 16, 27]. Likewise, both significantly poorer survival [12, 17, 19] and no associations [14, 16, 28] have been found in women who were obese prior to CRC diagnosis. Differences between the cases in these studies in terms of e.g. age at diagnosis, stage of disease, treatment, and subsite distribution may explain the disparities in the results. Another possible explanation is differences in the timing of BMI measurement in relation to diagnosis which may also influence the results.

We expected to find stronger associations between BMI and survival for colon cancer than for rectal cancer. However, in women, the opposite was observed. Results from previous studies are inconsistent. Pre-diagnostic obesity has been found to be associated with significantly poorer survival after both colon [14, 17, 19, 20, 21] and rectal cancer [12, 13, 14, 17], but no association with survival after colon cancer [13, 29] or after rectal cancer [19, 21] has also been reported. Only two studies have presented results on pre-diagnostic BMI in relation to survival after cancer in subsites of the colon [14, 18]. These studies found that BMI was significantly associated with poorer survival after distal colon cancer, whereas a non-significant association was found for proximal colon cancer [14, 18]. Subsite-differences in the association between BMI and survival after diagnosis of CRC may be related to molecular features of CRC tumors. Microsatellite instable tumors tend to be proximal and are associated with better survival than microsatellite stable tumors [30]. Moreover, BMI has been found to be associated with an increased risk of microsatellite stable tumors, but not microsatellite instable tumors [31, 32].

We found that weight gain before diagnosis of CRC was related to poorer survival in women, but not in men. Only one study has previously evaluated pre-diagnostic weight change in relation to survival after CRC [17]. In this study, weight gain since age 20 years was not associated with poorer survival in either men or women. Weight gain in adulthood is mainly an accumulation of fat mass. The distribution of the accumulated fat may influence CRC survival, since various fat depots have different metabolic characteristics [33]. We speculate that weight gain may be more strongly related to harmful fat distribution in women than in men. Also, the timing of weight gain could be important. Possibly, weight gain during menopause is especially harmful. Menopause is associated with an increase in visceral adipose tissue [34], which is particularly related to metabolic disturbances [33]. Many of the women in our study sample likely became postmenopausal between weight measurements; median age at the last weight measurement was 51.7 years for women.

Excess body weight may be linked to increased cancer risk through changes in steroid hormones, insulin, insulin-like growth factors, leptin and adiponectin, or pro-inflammatory cytokines [35]. It is possible that such changes also influence prognosis and survival of cancer, but the biological role of excess body weight on cancer survival is under debate. Also, there may have been differences between normal weight and obese cases in terms comorbidities, receipt of optimal treatment and complications as a result of treatment. Whether this could explain the associations between obesity and mortality among men with proximal colon cancer and women with rectal cancer could not be explored in our study since we did not have information on treatment.

It is of course possible that excess body weight does not influence survival. Weight gain was associated with survival across CRC subsites in women, but we did not observe strong or consistent associations in men. The significant associations we observed may have been due to chance. We performed a large number of statistical tests and would expect to find significant associations even if BMI and weight change are not related to CRC survival. However, it is also likely that the causal effect of obesity and weight change may have been underestimated in our study due to collider-stratification bias [36]. The study population was selected based on occurrence of an event, CRC. Suppose CRC is caused by both obesity and an uncontrolled risk factor. Then CRC is a collider, and conditioning on CRC may result in bias if the uncontrolled risk factor is also a cause of death [36]. The prevalence of the risk factor may be inversely associated with obesity among CRC cases, even when obesity and the risk factor are unrelated in the general population. As a consequence, the association between obesity and risk of death among CRC cases will be biased towards the null or even reversed [37]. Even though we controlled for several important risk factors for CRC and death in our analyses, residual collider-stratification bias cannot be ruled out. However, it is possible that the magnitude of the bias differs with sex or CRC subsite. Future studies should attempt to minimize collider-stratification-bias and must include detailed information on a large number of common causes of CRC and death.

Our study was based on CRC cases from a large cohort study with a very high attendance rate (80 %). Through linkage with the Cancer Registry of Norway we have identified all cases within the cohort. Because of the prospective design, inclusion of cases did not depend upon duration of survival. Thus, we consider selection bias to be negligible in our study. We cannot exclude the possibility of reverse causation in our study, but given the high median length of time between measurement and diagnosis, weight at the time of measurement is unlikely to have been influenced by pre-existing disease for the majority of the cases. Consequently, reverse causation is presumably not a concern in our study. Another important strength is the accuracy of the exposures. Weight and height were measured by trained nurses following a strict protocol. Furthermore, information on weight was collected up to three times, thus we could study the effect of pre-diagnostic weight change on CRC survival. We could also examine sex differences, as our study included both men and women.

One limitation of our study is the long time between exposure measurement and diagnosis. Thus, changes in BMI over time may have occurred. However, measurements of BMI made earlier in life have been found to be strongly related to measurements later in life [38, 39]. Moreover, additional adjustment for time between measurement and diagnosis did not change our results. If fat distribution is important in relation to survival after CRC, we may have underestimated the effect of excess body weight, because BMI does not capture fat distribution. We could not explore whether measures of abdominal adiposity like waist circumference or waist-to-hip ratio are more important prognostic factors than BMI, since we did not have information on anthropometry beside BMI. Another limitation is that we could not assess the effect of treatment, a possible confounder, since we did not have information on type of treatment the cases received. Finally, we did not have detailed information on the participants’ diet and could therefore not adjust for important risk factors for CRC like intake of red meat and alcoholic drinks.

Conclusions

In contrast with what is known about excess body weight and risk of CRC, we found little evidence of poorer survival among men who were obese or gained weight prior to diagnosis of CRC in this study. However, pre-diagnostic weight gain was related to poorer survival after CRC in women. Thus, our study supports that having maintained a healthy weight throughout adulthood may be beneficial for CRC survival, at least for women. The reason for the lack of observed effect in men in our study is not clear. Potential sex differences must be further investigated. Future studies should include detailed information on treatment and a large number of common causes of CRC and death.

Abbreviations

BMI, body mass index; CI, confidence interval; CRC, colorectal cancer; HR, hazard ratio; ICD, International Classification of Diseases

Notes

Acknowledgement

None.

Funding

The study did not receive any funding.

Availability of data and materials

The data material consists of sensitive information on an individual level. Due to protection of privacy and restrictions from the Norwegian Data Inspectorate and the Regional Committee for Medical and Health Research Ethics the data are not publicly available.

Authors’ contributions

IL, RS, and MBV conceived of the study. IL performed the statistical analyses and drafted the manuscript. IKL contributed to interpretation of the data and helped draft the manuscript. RS and MBV contributed to the statistical analyses, interpretation of the data, and revised the manuscript critically for important intellectual content. IT contributed to interpretation of the data and revised the manuscript critically for important intellectual content. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The present study was approved by the Norwegian Data Inspectorate and the Regional Committee for Medical and Health Research Ethics, Southeast Norway. Informed consent was implied by participation. The Regional Committee for Medical Health Research Ethics approved that the study was carried out without new consent from the participants.

Supplementary material

12885_2016_2445_MOESM1_ESM.pdf (37 kb)
Additional file 1: Figure S1. Flow chart illustrating number of cases in each colorectal cancer subsite for the BMI study sample. (PDF 38 kb)
12885_2016_2445_MOESM2_ESM.pdf (35 kb)
Additional file 2: Figure S2. Flow chart illustrating number of cases in each colorectal cancer subsite for the weight change study sample. (PDF 36 kb)
12885_2016_2445_MOESM3_ESM.pdf (100 kb)
Additional file 3: Table S1. Hazard ratios and 95% confidence intervals for all-cause mortality by BMI. (PDF 101 kb)
12885_2016_2445_MOESM4_ESM.pdf (105 kb)
Additional file 4: Table S2 Hazard ratios and 95% confidence intervals for all-cause mortality by weight change. (PDF 104 kb)

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Copyright information

© The Author(s). 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Ida Laake
    • 1
    • 2
  • Inger K. Larsen
    • 3
  • Randi Selmer
    • 4
  • Inger Thune
    • 5
    • 6
  • Marit B. Veierød
    • 1
    • 7
  1. 1.Oslo Centre for Biostatistics and Epidemiology, Institute of Basic Medical SciencesUniversity of OsloOsloNorway
  2. 2.Department of VaccinesNorwegian Institute of Public HealthOsloNorway
  3. 3.Department of RegistrationCancer Registry of NorwayOsloNorway
  4. 4.Department of Pharmaco-epidemiologyNorwegian Institute of Public HealthOsloNorway
  5. 5.Department of Community MedicineUniversity of TromsøTromsøNorway
  6. 6.Department of OncologyOslo University HospitalOsloNorway
  7. 7.Department of Nutrition, Institute of Basic Medical SciencesUniversity of OsloOsloNorway

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