Literature DB >> 29388617

Childhood body mass index and risk of adult pancreatic cancer.

Leticia Nogueira1, Rachael Stolzenberg-Solomon2, Michael Gamborg3, Thorkild I A Sørensen4, Jennifer L Baker3,4.   

Abstract

BACKGROUND: Excess weight in adulthood is one of the few modifiable risk factors for pancreatic cancer, and height has associations as well. This leads to question whether body weight and height in childhood are associated with adult pancreatic cancer.
OBJECTIVE: To examine if childhood body mass index (BMI; kg/m2) and height are associated with pancreatic cancer in adult life.
METHODS: We linked 293,208 children born from 1930-1982 in the Copenhagen School Health Records Register who had measured values of weights and heights at ages 7-13 years with the Danish Cancer Registry to identify incident pancreatic cancer cases from 1968-2012. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox proportional hazard regressions.
RESULTS: During 8,207,015 person-years of follow-up, 1,268 pancreatic cancer cases were diagnosed. Childhood BMI z-scores at ages 7-13 years were positively and significantly associated with pancreatic cancer in men and women up to age 70 years; beyond age 70 the associations diminished. The HRs of pancreatic cancer were 1.13 (95% CI: 1.05-1.21) and 1.18 (95% CI: 1.09-1.27) per BMI z-score at ages 7 and 13 years, respectively. A BMI ≥1.5 z-score at ages 7, 10 and 13 years was positively and significantly associated with pancreatic cancer; however, the effect did not differ from having a BMI z-score ≥1.5 at only one of these ages. Positive, albeit non-statistically significant, associations were identified with height.
CONCLUSIONS: BMI at all ages from 7-13 years is positively and linearly associated with adult pancreatic cancer; the higher the BMI, the higher the risk. Excess childhood BMI may be indicative of processes initiated early in life that lead to this cancer. Prevention of childhood adiposity may decrease the burden of pancreatic cancer in adults.

Entities:  

Keywords:  body mass index; cancer; childhood; children; cohort; growth; height; obesity; pancreas; pancreatic cancer; weight

Year:  2017        PMID: 29388617      PMCID: PMC5788457          DOI: 10.3945/cdn.117.001362

Source DB:  PubMed          Journal:  Curr Dev Nutr        ISSN: 2475-2991


Introduction

Pancreatic cancer is the fourth leading cause of cancer death in the United States (1), and it ranks in the top 10 leading causes of cancer death in Denmark (2). Pancreatic cancer is highly fatal; 65% of patients die within 1 y of diagnosis and the current 5-y survival rate is 7.7% (3). Although overall cancer incidence and deaths are declining, incidence and death rates for pancreatic cancer have increased (1). One hypothesis that may explain these increasing rates is the current obesity and diabetes epidemic. Adult obesity has emerged as a consistent risk factor for pancreatic cancer over the past decade (4–10). Current studies have shown overweight and obesity during late adolescence and early adulthood to be associated with an elevated risk of this disease (9–12). Evidence also suggests that there is a cumulative effect of adult overweight: the longer an adult is overweight or obese, the greater the risk of pancreatic cancer (12). Furthermore, as with many forms of cancer, a greater adult attained height is also associated with increased pancreatic cancer risk, but the exact mechanisms remain speculative (4, 13). Childhood obesity is a global public health issue, with an estimated 155 million school-aged children currently classified as overweight or obese (14). Overweight and obesity in childhood are associated with a variety of diseases in adulthood (9, 11, 12, 15–18). The World Cancer Research Fund reported greater childhood growth as a probable risk factor for pancreatic cancer; however, this was based on attained height and BMI during early adulthood (4). The majority of the studies that examined body size during adolescence or early adulthood relied on recalled weight and height (9, 11, 12). Hence, we examined whether childhood BMI and height as determined from measures during childhood health examinations are associated with subsequent pancreatic cancer in adulthood in a Danish population.

Methods

Study population

In this prospective cohort study, 372,636 individuals from the Copenhagen School Health Records Register who were born from 1930 to 1989 underwent mandatory health examinations at public and private schools from ages 7 to 13 y annually through 1983, after which time the health examinations were performed only at school entry and exit unless a child had special health needs (19). During the examinations, school doctors and nurses measured the height and weight of the children by using equipment provided by the schools and standard procedures. Each child was assigned a health card with the child's name, year of birth, height, and weight. This information has been computerized. The Copenhagen School Health Records Register was built in collaboration between the Department of Clinical Epidemiology (formerly the Institute of Preventive Medicine) and the Copenhagen City Archives in Denmark. A unique personal identification number was assigned to all Danish residents who were alive or born after April 1968, when the Central Person Register was established (20). Children who were in school at that time or later had their identification number recorded on their health cards, and children who attended school before this time had their identification numbers retrieved from the register on the basis of their name and date of birth (21). These numbers were identified for >88% of the children in the register. The process of retrieving the numbers was conservative (19), and the main reasons for not identifying the number were death, emigration before 1968, or misspellings in names that precluded the unique identification of the child. BMI was calculated by dividing weight in kilograms by height in meters squared. BMI values were transformed to z scores on the basis of an internal age- and sex-specific reference that was computed by using the Lambda Median Sigma method (22). The reference population was chosen from a period when the prevalence of obesity was low and stable, and z scores were interpolated to the exact age if 2 measurements were available or extrapolated if only 1 measurement was available, but always within a ±12-mo time frame (15). The identification number enabled linkage to the Danish Cancer Registry (23) from which information on pancreatic cancer was obtained. The cancer registry has collected information on all cancer diagnoses in Denmark since 1943. Pancreatic cancer was defined according to the modified Danish version of the International Classification of Diseases versions 7 (code 157.0) and 10 (codes C25.0–C25.4, C25.7–C25.9). The first diagnosis of pancreatic cancer, regardless of a previous cancer diagnosis, was used in the analyses. Follow-up began in 1968, corresponding to when the computerized vital statistics register was established. We followed individuals from 30 y of age, corresponding to the birth years of 1930–1982. From the population of 348,974 individuals available for this study, 42,480 did not have a personal identification number; and from the remaining individuals with identification numbers, 2309 died, 6281 emigrated, and 196 were lost to follow-up before the age of 30 y (Supplemental Figure 1). Therefore, the eligible population for inclusion in the study consisted of 297,708 individuals who were alive and living in Denmark at 30 y of age. Exclusions were made for individuals who had pancreatic cancer before 30 y of age (n = 1) and individuals with missing (n = 4492) or outlying (z scores <−4.5 or >4.5) height or BMI values at all ages (n = 7) (Supplemental Figure 1). Of the 293,208 individuals included in the study, 6152 individuals emigrated, 166 individuals were lost to follow-up, and 56,147 died before the end of the study period. Follow-up ended on the date of a pancreatic cancer diagnosis, death, emigration, or 31 December 2013, whichever came first. The analyses were conducted on anonymous data, and the study was approved by the Danish Data Protection agency. According to the Danish Act of Processing of Personal Data, informed consent is not required for register-based research of pre-existing personal data.

Statistical analyses

Associations between BMI and height z scores at each age from 7 to 13 y were estimated by using Cox proportional hazards regression models with age as the underlying time metric. We conducted the sensitivity analyses adjusting BMI for height, and vice versa, because they are correlated in childhood. To examine if there was a cumulative effect of excess BMI in childhood, we examined if children who were heavy, defined as having a BMI z score ≥1.5 (equivalent to the 93.3rd percentile), at ages 7, 10, and/or 13 y had a different risk of pancreatic cancer than did children who had a BMI z score <1.5 at these ages. Due to how the z scores were calculated, the ages of 7, 10, and 13 were chosen for analysis because they were calculated independently of each other. Children who never had a BMI z score ≥1.5 at any of these ages formed the reference group. Furthermore, we examined if children who were heavier at age 13 y irrespective of their body size history had a different risk of pancreatic cancer than children who were not large at age 13 y. For these analyses, the reference group was children with a BMI z score <1.5 at age 13 y only. Because the cohort spans many years of birth, all of the analyses were stratified by birth cohort (5-y intervals from 1930–1975 to 1976–1982). Interactions of BMI and height z-score associations with pancreatic cancer by sex and birth cohort were also tested by using log likelihood ratio tests. No interactions were detected (all P > 0.40); however, because the sex-specific results may be of interest, these are presented as well. The linearity of the associations was assessed by restricted cubic splines (5 knots), and notable violations were not detected. The proportional hazards assumption was tested in each model by the inclusion of a time-varying effect of BMI and height, respectively, in the Cox regression models. Violations were detected such that the associations with BMI changed at ∼70 y of age (P-value range: 0.005–0.035). Therefore, we present analyses stratified by <70 and ≥70 y of age. We calculated the unadjusted population attributable fraction (PAF) (24) to estimate the percentage of pancreatic cancer cases before age 70 y that would potentially be eliminated if children were not overweight or obese at age 13 y. Overweight and obesity were defined by using the CDC 2000 classifications (25). For these calculations, we used the HRs for boys and girls at age 13 y in our Danish study population and the proportions of overweight or obese girls and boys at age 12.5– 13.5 y in the US NHANES (all ethnicities) between 2003 and 2014 (26).

Results

At least 1 BMI and height z score were available for 144,826 girls and 148,382 boys. As previously published and expected, height and BMI increased with age in this study population (18). The analyses included 8,207,015 person-years of follow-up after age 30 y. During follow-up there were 1268 cases of pancreatic cancer (699 in men and 569 in women). The incidence of pancreatic cancer increased with advancing age and was slightly higher in the men than in women ().
FIGURE 1

Incidence of pancreatic cancer among men and women from 30 to 83 y of age.

Incidence of pancreatic cancer among men and women from 30 to 83 y of age. Positive and significant associations between childhood BMI z scores and adult pancreatic cancer were found at all ages (Supplemental Table 1, ). Childhood BMI z scores at each age from 7 to 13 y were significantly associated with pancreatic cancer risk in men and women up until the age of 70 y (Supplemental Table 1, Figure 2). Beyond 70 y of age, the associations were no longer significant. No notable violations of linearity were detected; the pancreatic cancer risk was greatest with the highest childhood BMI z scores. Adjustment for height in the model had no effect on HRs of pancreatic cancer (Supplemental Table 2). Height was positively, albeit nonsignificantly, associated with adult pancreatic cancer ().
FIGURE 2

Childhood BMI z score and pancreatic cancer risk by diagnosis at ages <70 and ≥70 y. The dashed line represents an HR of 1. Analyses were stratified by sex and birth cohort.

TABLE 1

Childhood height z scores at ages 7–13 y and pancreatic cancer risk in adulthood

Age at diagnosis
<70 y≥70 y
Age, yIndividuals, nCases, nHR (95% CI)Individuals, nCases, nHR (95% CI)
7275,5259221.03 (0.96, 1.10)58,4752641.10 (0.97, 1.24)
8279,7969281.04 (0.97, 1.11)59,8132701.10 (0.97, 1.24)
9273,3889301.04 (0.97, 1.11)59,9892751.11 (0.98, 1.25)
10267,8679301.03 (0.97, 1.10)60,0152751.10 (0.97, 1.24)
11266,0919221.04 (0.98, 1.11)60,1282781.09 (0.96, 1.22)
12263,3289291.04 (0.97, 1.11)59,8982711.07 (0.95, 1.21)
13259,3429271.05 (0.99, 1.13)59,0432641.09 (0.96, 1.23)

Analyses were stratified by sex and birth cohort.

Childhood BMI z score and pancreatic cancer risk by diagnosis at ages <70 and ≥70 y. The dashed line represents an HR of 1. Analyses were stratified by sex and birth cohort. Childhood height z scores at ages 7–13 y and pancreatic cancer risk in adulthood Analyses were stratified by sex and birth cohort. In the subanalysis of 119,799 men and 119,080 women who had BMI values at 7, 10, and 13 y of age, we examined if there was an effect of repeatedly high BMI or if it was only size at 13 y that mattered for later pancreatic cancer. Compared with the reference group of children who had BMI z scores <1.5 at all ages of 7, 10, and 13 y, having a BMI z score of ≥1.5 once, twice, or 3 times at any of these ages (7, 10, or 13 y) was associated with an increased risk of pancreatic cancer until age 70 y (). Even though the HRs for children who had a BMI z score ≥1.5 at all 3 ages were higher than for other combinations of BMI z scores, these differences were not significant compared with having a z score >1.5 at only 1 age (P = 0.88) or at 2 ages (P = 0.67). Compared with the reference group of 225,606 children with a BMI z score <1.5 at age 13 y (823 pancreatic cancer cases), the 13,273 children who had a BMI z score ≥1.5 at the same age (61 pancreatic cancer cases) had an HR for pancreatic cancer <70 y of 1.51 (95% CI: 1.16, 1.96).
TABLE 2

Patterns of repeatedly high BMI values (≥1.5 z score) at ages 7, 10, and 13 y and pancreatic cancer risk in adulthood by age at diagnosis

Age at diagnosis
BMI z score ≥1.5<70 y≥70 y
Individuals , nCases, nHR (95% CI)Individuals, nCases, nHR (95% CI)
Never217,721789Reference50,105224Reference
Age 7 y only3839171.32 (0.82, 2.13)75330.93 (0.30, 2.91)
Age 10 y only2131111.51 (0.83, 2.75)36921.52 (0.38, 6.12)
Age 13 y only4243211.54 (1.00, 2.37)70341.50 (0.56, 4.03)
Ages 7 and 10 y191561.04 (0.46, 2.32)25511.05 (0.15, 7.46)
Ages 7 and 13 y83031.20 (0.39, 3.72)1310
Ages 10 and 13 y2996131.34 (0.78, 2.32)4810
Ages 7, 10, and 13 y5204241.70 (1.13, 2.56)56610.47 (0.67, 3.33)

Analyses were stratified by sex and birth cohort. Compared with a child with a BMI z score ≥1.5 at 7, 10, and 13 y, the HR did not significantly differ from children who had a BMI z score ≥1.5 at only 1 age (P = 0.88) or at 2 ages (P = 0.67).

Patterns of repeatedly high BMI values (≥1.5 z score) at ages 7, 10, and 13 y and pancreatic cancer risk in adulthood by age at diagnosis Analyses were stratified by sex and birth cohort. Compared with a child with a BMI z score ≥1.5 at 7, 10, and 13 y, the HR did not significantly differ from children who had a BMI z score ≥1.5 at only 1 age (P = 0.88) or at 2 ages (P = 0.67). With the use of the pooled data from NHANES and the CDC criteria, among 13-y-old US children, 14.8% of boys and 17.2% of girls are classified as overweight and 21.7% of boys and 21.5% of girls are classified as obese. On the basis of these US prevalence data and the pancreatic cancer HRs for BMI at age 13 y from the continuous model from our Danish study, we estimated that the PAFs of pancreatic cancer before age 70 y will be 12.7% and 11.4% for men and women, respectively.

Discussion

In this large, prospective, population-based study that used measured heights and weights in childhood, we found that BMI at each age from 7 to 13 y was significantly and positively associated with pancreatic cancer in adulthood diagnosed up until age 70 y; beyond this age, there were no associations. Repeatedly having a high BMI at ages 7, 10, and 13 y was not significantly different from having a high BMI 1 time. Associations were similar for men and women and consistent for cancer diagnosis from 30 to 70 y of age. Associations between child height and pancreatic cancer, although positive, were not significant. We think our study is novel because it examines child body size in relation to the risk of pancreatic cancer in adulthood and other investigations focused on body size at older ages. Our findings are consistent with previous studies that examined adolescent or early adulthood BMI and pancreatic cancer (11, 27). Within a cohort of 720,000 Israeli men with BMI measured at ages 16–19 y, adolescent overweight as defined by a BMI z score >1, compared with a z score ≥−1 to ≤1, showed a significant 2-fold increase in pancreatic cancer risk (27). One case-control study found a significant increase in risk associated with a 5-unit increase in recalled BMI during adolescence and early adulthood (11). The American NIH-AARP Diet and Health Study Cohort (NIH-AARP) and 2 pooled analyses of cohort studies showed adolescent or early adulthood body size obtained by recall to be positively associated with pancreatic cancer (8, 9, 11). The associations were independent of BMI at an older age, suggesting that the risk was established to a certain extent in earlier life. In a study in American retired adults (50–71 y of age) in the NIH-AARP, adolescent body size obtained by recall had a positive association with pancreatic cancer (12). The effect was not attenuated by including adult size, thus suggesting that the risk was established to a certain extent in earlier life. Because adult body size was not available in the current study, we could not conduct a fully comparable analysis. When BMI was analyzed as a continuous variable by using recalled height and weight at age 50 y from participants in the NIH-AARP study, the HRs for the association between BMI and pancreatic cancer were 1.18 (95% CI: 1.07, 1.32) for men and 1.02 (95% CI: 0.94, 1.12) for women per z score (R Stolzenberg-Solomon, M Gamborg, unpublished data, 2016). Interestingly, these associations were of a smaller magnitude than those observed in the current study per BMI z score, which suggests that tracking of childhood BMI whereby heavy children become heavy adults is not the only explanation for the observed results. Prospective studies have also shown that BMI gain during adulthood and after age 50 y is associated with an elevated risk of pancreatic cancer (9, 10, 12). Given that we did not observe an association between childhood BMI and pancreatic cancer diagnosed after age 70 y, it is possible that childhood adiposity contributes to pancreatic cancer diagnosed at younger ages, whereas adiposity related to weight gain during adulthood contributes more to occurrence of cancer diagnosis later at older ages. Our results suggest that there is not a cumulative effect of excess adiposity during childhood associated with adult pancreatic cancer. In our study, the association between having a high BMI value >1 time from the ages of 7 to 13 y and subsequent pancreatic cancer did not differ significantly from the association observed for having a high BMI only 1 time (Table 2). In contrast, the NIH-AARP study showed that longer absolute and cumulative years of being overweight or obese [BMI (kg/m2) ≥25.0] were significantly associated with pancreatic cancer (12). It is possible that we examined too few years during childhood to detect a cumulative effect, that we had too few cases to distinguish such patterns, or that it is body size change across many years during mid- to late adult life that is important for pancreatic cancer development. Despite evidence from several studies that suggests that adult height has a positive association with pancreatic cancer (4, 13), there is great heterogeneity in the literature, with later reports pointing toward the association being very modest in magnitude (28). In our study, the HRs for the associations between childhood height and pancreatic cancer were positive, but weak and not significant. Given that the CIs around the estimates were small, it is unlikely that our study was underpowered to detect an effect, but this cannot be ruled out. Nonetheless, our findings are in accord with the majority of the adult literature. BMI is not a perfect indicator of adiposity in either adults or children. In childhood, it is correlated with height, and this reflects that the body composition of healthy tall children has a greater amount of lean and adipose tissue (29). However, even when we accounted for the effects of height beyond what is captured by BMI in the models, the associations between childhood BMI and pancreatic cancer remained virtually unchanged. These results suggest that some aspect of body composition, presumably the adipose tissue component, is contributing to our observed associations. Adipose tissue is an endocrinologically active tissue that is known to be linked to pancreatic inflammation, β cell dysfunction, insulin resistance, and diabetes (30). These processes have been suggested to play an etiologic role in adulthood pancreatic cancer (31) and may likewise contribute to our association between childhood BMI and pancreatic cancer. Excess childhood weight may also be linked to later pancreatic cancer through correlations between child and adult size or through independent processes that stimulate early steps of carcinogenesis. Genes involved in the embryonic development of pancreas have been associated with BMI, diabetes, as well as pancreatic adenocarcinoma (32–34), which lends support to early-life exposures that affect the pancreas having a role in the pathways that lead to the development of pancreatic cancer later in life. Future research is warranted to determine whether the association between childhood excess weight and risk of pancreatic cancer later in life is mediated through adult adiposity and to understand the biological mechanisms that explain the associations that we observed. Several strengths of our study should be noted, including the prospective design and the availability of measured, instead of recalled, height and weight during childhood. Furthermore, selection bias is unlikely to be present in our study, because it included virtually all children born from 1930 to 1982 who attended school in Copenhagen and we were able to follow these individuals from 1977 onward with the Danish registers. Pancreatic cancer diagnoses were obtained from the Danish Cancer Registry, which has a high coverage due to the mandatory reporting of all malignant neoplasms. In Denmark, health care is universal and paid for by taxation, so it is unlikely that this study is affected by access bias. Furthermore, there was minimal loss to follow-up because all subjects could be efficiently tracked through the Danish registry system. Information on family history of pancreatic cancer, childhood diet and second-hand smoke exposure, adult body size, and other adult health conditions (e.g., diabetes and pancreatitis) and exposures (e.g., adult smoking history) was not available. Exposures in adulthood, however, are unlikely confounders of measured childhood height and weight. Furthermore, some of these factors may be mediating factors on the causal pathway from obesity and pancreatic cancer. There may also be other unknown exogenous exposures as well as genetic susceptibility (35) contributing to the pancreatic cancer associations that we observed that cannot be controlled for in our present analysis. Our Danish population was primarily white, and our results might not be generalizable to other ethnicities. Nonetheless, our results along with those of others suggest that childhood BMI is associated with future pancreatic cancer and that body size across the life span contributes to this disease (8, 9, 11). Childhood overweight and obesity in children have increased in Denmark (36) and across the globe (14). Our results show that risks are significantly elevated even at BMI z scores of 1.0 (84.1 percentile) in our study population. For example, when compared with the contemporary US reference for 13-y-old children, our BMI z scores of 1.0 (BMI of 20.9 in girls and 20.3 in boys) are equivalent to BMI values that fall just below the 75th percentiles. Thus, elevated risks are being observed at BMI values far below those that are currently classified as “overweight” by the CDC reference. To place our results in perspective, we calculated PAFs by using the prevalence of overweight and obesity in contemporary American children (>36% among 13-y-old boys and girls). If contemporary children moved from being overweight (including obesity) to normal weight at age 13 y, 12.7% and 11.4% of cases of pancreatic cancer before age 70 y might be avoided among men and women, respectively. These estimations, even with the limitations of their assumptions of causality, underscore that there is cause for concern about the future risk of pancreatic cancer in children of today. In conclusion, we found that childhood BMI has a strong and positive association with pancreatic cancer in adulthood before age 70 y. The association between having a high childhood BMI repeatedly during the ages 7–13 y and pancreatic cancer did not significantly differ from having a high BMI at only one age during this age period. Associations between child height and pancreatic cancer were not significant. These results support the hypothesis that excess BMI in childhood contributes to the future risk of pancreatic cancer before 70 y of age. Click here for additional data file.
  32 in total

1.  Cohort profile: the Copenhagen School Health Records Register.

Authors:  Jennifer L Baker; Lina W Olsen; Ingelise Andersen; Seija Pearson; Bente Hansen; Thorkild Ia Sørensen
Journal:  Int J Epidemiol       Date:  2008-08-21       Impact factor: 7.196

2.  Use and misuse of population attributable fractions.

Authors:  B Rockhill; B Newman; C Weinberg
Journal:  Am J Public Health       Date:  1998-01       Impact factor: 9.308

3.  Body mass index, effect modifiers, and risk of pancreatic cancer: a pooled study of seven prospective cohorts.

Authors:  Li Jiao; Amy Berrington de Gonzalez; Patricia Hartge; Ruth M Pfeiffer; Yikyung Park; D Michal Freedman; Mitchell H Gail; Michael C R Alavanja; Demetrius Albanes; Laura E Beane Freeman; Wong-Ho Chow; Wen-Yi Huang; Richard B Hayes; Jane A Hoppin; Bu-Tian Ji; Michael F Leitzmann; Martha S Linet; Cari L Meinhold; Catherine Schairer; Arthur Schatzkin; Jarmo Virtamo; Stephanie J Weinstein; Wei Zheng; Rachael Z Stolzenberg-Solomon
Journal:  Cancer Causes Control       Date:  2010-04-10       Impact factor: 2.506

4.  CDC growth charts: United States.

Authors:  R J Kuczmarski; C L Ogden; L M Grummer-Strawn; K M Flegal; S S Guo; R Wei; Z Mei; L R Curtin; A F Roche; C L Johnson
Journal:  Adv Data       Date:  2000-06-08

5.  Pathway analysis of genome-wide association study data highlights pancreatic development genes as susceptibility factors for pancreatic cancer.

Authors:  Donghui Li; Eric J Duell; Kai Yu; Harvey A Risch; Sara H Olson; Charles Kooperberg; Brian M Wolpin; Li Jiao; Xiaoqun Dong; Bill Wheeler; Alan A Arslan; H Bas Bueno-de-Mesquita; Charles S Fuchs; Steven Gallinger; Myron Gross; Patricia Hartge; Robert N Hoover; Elizabeth A Holly; Eric J Jacobs; Alison P Klein; Andrea LaCroix; Margaret T Mandelson; Gloria Petersen; Wei Zheng; Ilir Agalliu; Demetrius Albanes; Marie-Christine Boutron-Ruault; Paige M Bracci; Julie E Buring; Federico Canzian; Kenneth Chang; Stephen J Chanock; Michelle Cotterchio; J Michael Gaziano; Edward L Giovannucci; Michael Goggins; Göran Hallmans; Susan E Hankinson; Judith A Hoffman Bolton; David J Hunter; Amy Hutchinson; Kevin B Jacobs; Mazda Jenab; Kay-Tee Khaw; Peter Kraft; Vittorio Krogh; Robert C Kurtz; Robert R McWilliams; Julie B Mendelsohn; Alpa V Patel; Kari G Rabe; Elio Riboli; Xiao-Ou Shu; Anne Tjønneland; Geoffrey S Tobias; Dimitrios Trichopoulos; Jarmo Virtamo; Kala Visvanathan; Joanne Watters; Herbert Yu; Anne Zeleniuch-Jacquotte; Laufey Amundadottir; Rachael Z Stolzenberg-Solomon
Journal:  Carcinogenesis       Date:  2012-04-20       Impact factor: 4.944

6.  Obesity research based on the Copenhagen School Health Records Register.

Authors:  Jennifer L Baker; Thorkild I A Sørensen
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

7.  The LMS method for constructing normalized growth standards.

Authors:  T J Cole
Journal:  Eur J Clin Nutr       Date:  1990-01       Impact factor: 4.016

Review 8.  Epidemiology and Inherited Predisposition for Sporadic Pancreatic Adenocarcinoma.

Authors:  Rachael Z Stolzenberg-Solomon; Laufey T Amundadottir
Journal:  Hematol Oncol Clin North Am       Date:  2015-08       Impact factor: 3.722

9.  Pooled cohort study on height and risk of cancer and cancer death.

Authors:  Sara Wirén; Christel Häggström; Hanno Ulmer; Jonas Manjer; Tone Bjørge; Gabriele Nagel; Dorthe Johansen; Göran Hallmans; Anders Engeland; Hans Concin; Håkan Jonsson; Randi Selmer; Steinar Tretli; Tanja Stocks; Pär Stattin
Journal:  Cancer Causes Control       Date:  2013-10-31       Impact factor: 2.506

Review 10.  Hereditary pancreatic cancer: related syndromes and clinical perspective.

Authors:  Sergio Carrera; Aintzane Sancho; Eider Azkona; Josune Azkuna; Guillermo Lopez-Vivanco
Journal:  Hered Cancer Clin Pract       Date:  2017-06-28       Impact factor: 2.857

View more
  8 in total

1.  Parental obesity programs pancreatic cancer development in offspring.

Authors:  Raquel Santana da Cruz; Johan Clarke; Ana Cristina P Curi; Aseel Al-Yawar; Lu Jin; Ali Baird; M Idalia Cruz; Bhaskar Kallakury; Sonia de Assis
Journal:  Endocr Relat Cancer       Date:  2019-05       Impact factor: 5.678

2.  Influence of the body mass index on postoperative outcome and long-term survival after pancreatic resections in patients with underlying malignancy.

Authors:  Philippa Seika; Fritz Klein; Uwe Pelzer; Johann Pratschke; Marcus Bahra; Thomas Malinka
Journal:  Hepatobiliary Surg Nutr       Date:  2019-06       Impact factor: 7.293

Review 3.  Pancreatic cancer epidemiology: understanding the role of lifestyle and inherited risk factors.

Authors:  Alison P Klein
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2021-05-17       Impact factor: 73.082

4.  Population insight of the relationship between lifestyle and cancer: A population-based survey.

Authors:  Fawaz Dabea Alshammari; Hussain Gadelkarim Ahmed; Dena Alshammari; Ahmed Mulfy Alharbi; Atif Saud Alsaedi; Abdulbaset Elasbaly
Journal:  AIMS Public Health       Date:  2019-01-23

5.  Childhood obesity leads to adult type 2 diabetes and coronary artery diseases: A 2-sample mendelian randomization study.

Authors:  Xuqian Fang; Junli Zuo; Jingqi Zhou; Jialin Cai; Changqiang Chen; Enfei Xiang; Haibo Li; Xiaoyan Cheng; Peizhan Chen
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.889

6.  Is the Perceived Fruit Accessibility Related to Fruit Intakes and Prevalence of Overweight in Disadvantaged Youth: A Cross-Sectional Study.

Authors:  Narae Yang; Kirang Kim
Journal:  Nutrients       Date:  2020-10-29       Impact factor: 5.717

Review 7.  Obesity and Pancreatic Cancer: Insight into Mechanisms.

Authors:  Guido Eibl; Enrique Rozengurt
Journal:  Cancers (Basel)       Date:  2021-10-10       Impact factor: 6.639

8.  Body Size at Different Ages and Risk of 6 Cancers: A Mendelian Randomization and Prospective Cohort Study.

Authors:  Daniela Mariosa; Karl Smith-Byrne; Tom G Richardson; Pietro Ferrari; Marc J Gunter; Nikos Papadimitriou; Neil Murphy; Sofia Christakoudi; Konstantinos K Tsilidis; Elio Riboli; David Muller; Mark P Purdue; Stephen J Chanock; Rayjean J Hung; Christopher I Amos; Tracy A O'Mara; Pilar Amiano; Fabrizio Pasanisi; Miguel Rodriguez-Barranco; Vittorio Krogh; Anne Tjønneland; Jytte Halkjær; Aurora Perez-Cornago; María-Dolores Chirlaque; Guri Skeie; Charlotta Rylander; Kristin Benjaminsen Borch; Dagfinn Aune; Alicia K Heath; Heather A Ward; Matthias Schulze; Catalina Bonet; Elisabete Weiderpass; George Davey Smith; Paul Brennan; Mattias Johansson
Journal:  J Natl Cancer Inst       Date:  2022-09-09       Impact factor: 11.816

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.