Abstract
Background
Despite improved survival, childhood cancer survivors experience significantly elevated risk of premature mortality and serious morbidity due to chronic health conditions. Poor diet quality can exacerbate chronic health conditions in the survivors but their nutritional intake has not been adequately studied.
Procedure
We assessed the Healthy Eating Index 2010 (HEI-2010) in 22 survivors of pediatric acute lymphoblastic leukemia and lymphoma (median age = 11.7 years) and compared survivors' dietary intake to the 2010 Dietary Guidelines for Americans. Dietary data were collected using repeated 24-hour dietary recalls over a one-year period, which were averaged to estimate habitual intake.
Results
The mean HEI-2010 in childhood cancer survivors was 52.7, about 50 percent of the maximum score. Long-term survivors (time from diagnosis ≥10 years) had a significantly lower HEI-2010 than recent survivors (time from diagnosis <5 years) (β = -11.5, 95% CI: -22.1, -0.9, p=0.047). For individual food groups and nutrients, survivors had a particularly poor adherence to green vegetables and beans, total vegetables, and whole fruits. None of the survivors met the guidelines for dietary fiber and potassium intake. Only 4%, 19%, 24%, and 29% met the guidelines for vitamin D, sodium, calcium, and saturated fat intake. The average intake in relative to the recommended intake was 32% for vitamin D, 50% for potassium, 63% for fiber, and 85% for calcium, but was 115% for saturated fat and 143% for sodium.
Conclusions
Childhood cancer survivors, in particular long-term survivors, have a poor adherence to the US dietary guidelines.
Keywords: Nutrition, Survivors, Childhood Cancer
Introduction
Dramatic improvements in the diagnosis and treatment of cancer in childhood have led to a rapidly growing cohort of survivors, now estimated to exceed 420,000 in the US.(1, 2) However, this success has brought the recognition that childhood cancer survivors (CCS) have significantly elevated risk of premature mortality and serious morbidity.(3-6) Of note, CCS experience a significantly high risk of chronic health conditions such as cardiovascular disease (CVD)(7-9) and related factors including hypertension,(10, 11) dyslipidemia,(10, 11) insulin resistance or diabetes,(10-13) and obesity(14, 15) at a young age.
Nutrition plays an important role in the etiology of chronic health conditions, and is among the few modifiable behaviors that can prevent or delay its early onset. Nevertheless, the nutritional intake in CCS has not been adequately examined, in particular among young CCS (i.e., children, adolescents, and young adults) who experience a similar risk for chronic health conditions as their middle-age siblings.(5) Existing studies provide some evidence suggesting a poor adherence of survivors' diet to the current dietary guidelines.(16-20) Few studies, however, have assessed dietary intake of a broad category of micronutrients and minerals. Accurately assessing dietary intake is also hindered by measurement errors often associated with the use of food frequency questionnaires.(21, 22)
Using repeated 24-hour dietary recalls, we assessed nutritional intake in young survivors of childhood acute lymphoblastic leukemia (ALL) and lymphoma; both are common cancer types diagnosed in children and adolescents. We compared survivors' nutritional intake to the age- and sex-specific recommendations in the 2010 Dietary Guidelines for Americans (DGA). We also explored whether nutritional intake in CCS differed by patient and treatment characteristics.
Methods
Eligible participants were identified from the records of the Pediatric Hematology/Oncology Clinic of the Floating Hospital for Children at Tufts Medical Center, Boston, MA.(23) To be eligible, patients had to (1) be diagnosed with ALL or lymphoma at age younger than 21 years, (2) be between the ages of 3-25 years at study enrollment, and (3) have completed all cancer treatment within the past 15 years and be in remission, or on-treatment and receiving maintenance therapy. Patients were excluded if they had relapsed, had undergone allogeneic bone marrow transplant, had conditions known to influence food intake or energy expenditure, or were pregnant or lactating.
For all participants, demographic variables and medical history were extracted from medical records. Non-fasting weight was measured in light clothing, without shoes, on a standing scale to the nearest 0.1 kg. Height was measured using a wall-mounted stadiometer in conjunction with a head board to the nearest 0.1 cm. Body composition including fat-free mass (FFM) and percent of body fat (%BF) were assessed by whole body dual x-ray absorptiometry (Hologic Discovery A. software version 12.6, Hologic Inc., Bedford, MA) and analyzed with Hologic APEX software version 3.3. Total energy expenditure was measured using the doubly labelled water method following a 7-day study protocol.(23)
The study was approved by the institutional review board at Tufts Medical Center/Tufts University. For patients under 18 years of age, parent consent and child assent were obtained prior to enrollment. Patients who had reached the adult age provided consent for their own participation.
Nutritional Intake
Nutritional intake was assessed by repeated 24-hour dietary recalls over a one-year study period, at enrollment, 6-month, and 12-month visits, respectively. At each visit, three repeated recalls (two weekdays and one weekend) were conducted. The initial 24-hour diet recall was administered in person at the study visit and two additional unannounced recalls were conducted by phone within seven days of the first recall. Dietary recalls were conducted by trained staff of the Dietary Assessment Unit at the Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, using the standardized multiple pass method developed for national dietary surveillance.(24, 25) The recall data were analyzed using the Nutrition Data System for Research software (NDSR, version 2011), developed by the Nutrition Coordinating Center, University of Minnesota, Minneapolis, MN. Parents were used as proxy reporters for participants ≤12 years of age because previous research has documented considerable errors in recalls of food intake and portion size by children 12 years old or under.(26) Repeated recalls at each visit were averaged to improve the validity of estimating habitual nutritional intake.(22)
Statistical Analysis
We first calculated the Healthy Eating Index (HEI)-2010 to evaluate the overall diet quality of CCS following the methodology developed by the US Department of Agriculture. (27) The HEI-2010 measures the adherence to the 2010 DGA and has 12 components.(28) For each component, intakes of foods and nutrients are represented on a density basis, counted as amount per 1,000 kcal. The 9 adequacy components include total fruit, whole fruit, total vegetables, greens and beans, whole grains, dairy, total protein foods, seafood and plant proteins, and fatty acids. The 3 moderation components include refined grains, sodium, and empty calories. For adequacy components, a score of 0 is assigned for no intake, and the scores increase proportionately as intakes increase up to the recommended intake. For moderation components, levels of intakes at the recommended intake are assigned the maximum score and the scores decrease as intakes increase. A higher HEI score indicates a better adherence to the dietary guidelines. The maximum total score is 100.
We then examined survivors' diet quality in association with patient and treatment characteristics using Analysis of Variance (ANOVA). For patients aged 3-20 years old, BMI z-score was calculated using the 2000 Center for Disease Control and Prevention (CDC) growth charts for children.(29) Obesity was defined as BMI z-score ≥ 1.645 (≥ 95th percentile), overweight as BMI z-score =1.036-1.644 (85th-94.9th percentile), and healthy weight as BMI z-score = -1.645-1.035 (5th-84.9th percentile), based on the current recommendations of the US Center for Disease Control and Prevention (30) and in accordance with previous studies.(31) For patients >20 years, BMI z-score and percentile were calculated based on the reference data for age 20 in the 2000 CDC growth charts.(32) We also conducted linear regressions with stepwise selection to identify significant predictors for diet quality with an entry and exit alpha of 0.05.
Last, we compared the mean intake of nutrients in CCS to the Dietary Reference Intakes (DRIs) published by the Institute of Medicine (33) by calculating the percentage of the CCS who met the age- and sex-specific DRIs. For most nutrients, the age- and sex-specific DRIs are based on Recommended Daily Allowance (RDA). For Linoleic acid, α-linolenic acid, potassium, choline, and vitamin D, the DRIs are based on Adequate Intake (AI). For sodium, the DRI is based on Upper Limit (UL). When no quantitative DRI value is available, the Dietary Guidelines (DG) recommendations (27) are used. An individual was considered to meet recommended intake for a specific nutrient if the intake level is equal to or above the RDA or AI according to his/her age and sex. For sodium, % calories from saturated fat, and cholesterol, an individual was considered to meet the recommended intake if the intake level is below the UL or DG. For % calories from macronutrients, the recommended intake was based on Acceptable Macronutrient Distribution Range (AMDR). An individual was considered to meet the recommended intake if the percentage falls into the age- and sex-specific AMDR. We also calculated the ratio of survival's actual intake to the age- and sex-specific DRIs × 100. A ratio >100 indicates that the survivors consume a higher level of the nutrients than the recommended intake whereas a ratio <100 indicates a lower level of nutrients intake in CCS than the recommended intake.
Results
Clinic records identified 67 eligible patients. An informational letter about the study was sent to potential participants. The letter contained an opt-out card, which, if returned, would preclude further contact by study staff. Five patients returned the opt-up card, 12 declined to participate during follow-up contacts, 28 did not respond after multiple contacts by phone or mail, and 22 patients were enrolled into the study between October 2011 and June 2012. All 22 participants completed at least one recall. The average number of recalls completed by each participant was 6.4.
The median age of study participants at enrollment was 11.7 (range: 4.7-24.9) years, and the median interval from cancer diagnosis was 5.6 (range: 0.3-17.0) years. The majority of the survivors were males (68%) and non-Hispanic whites (77%). The mean BMI z-score was 0.8 (SD = 1.0), corresponding to the 79th BMI percentile. More than 40% of the survivors were overweight or obese (Table I).
Table I. Characteristics of childhood cancer survivors, the Healthy Living Study, 2011-2012.
| Characteristics | N=22 |
|---|---|
| Age at study enrollment, years, median (Q1, Q3) | 11.7 (7.5, 19.5) |
| Gender, N (%) | |
| Male | 15 (68.2) |
| Female | 7 (31.8) |
| Race/ethnicity, N (%) | |
| Non-Hispanic white | 17 (77.3) |
| Other | 5 (22.7) |
| Diagnosis | |
| Acute lymphoblastic leukemia | 17 (77.3) |
| Hodgkin's lymphoma | 3 (13.6) |
| Non-Hodgkin's lymphoma | 2 (9.1) |
| Treatment status, N (%) | |
| On-treatment | 3 (13.6) |
| Off-treatment | 19 (86.4) |
| Age at diagnosis, years, median (Q1, Q3) | 4.5 (3.0, 7.0) |
| Years since diagnosis, median (Q1, Q3) | 5.6 (2.8, 8.3) |
| BMI z-score, mean (SD) | 0.8 (1.0) |
| Weight status, N (%) | |
| Healthy weight | 13 (59.1) |
| Overweight/obese | 9 (40.9) |
| Fat-free mass, kg, mean (SD) | 34.2 (17.4) |
| Percentage of body fat, mean (SD) | 29.2 (6.6) |
The mean HEI-2010 total score was 52.7 (SD=10.6), about half of the maximum score (i.e. 100) (Table II). Among individual components, whole fruit, total vegetables, greens and beans, seafood and plant protein, fatty acids, and sodium achieved less than 50% of the maximum scores, suggesting a poor adherence by CCS to these components (Figure 1). HEI-2010 total score was not associated with survivors' demographic and treatment characteristics in the univariate analysis. Results from stepwise regression indicated that long-term survivors (time from diagnosis ≥10 years) had a significantly lower HEI-2010 compared to those recently diagnosed (time from diagnosis <5 years) (β= -11.5, 95% CI: -22.1, -0.9). Patients' age, sex, race/ethnicity and other clinical features such as age at diagnosis, years since diagnosis, treatment status (on- vs. off-treatment), and receipt of cranial radiation were not associated with diet quality in CCS. Diet quality did not differ significantly between overweight/obese CCS and those with healthy weight (Table III).
Table II. Healthy Eating Index (HEI)-2010 and its components in childhood cancer survivors.
| HEI Components | Maximum Score | Standard for Maximum Score | Standard for Minimum Score of 0 | Score in CCS Mean (SD) |
|---|---|---|---|---|
| Adequacy Components | ||||
| Total fruit | 5 | ≥ 0.8 cup equiv. per 1,000 kcal | No fruit | 2.6 (1.9) |
| Whole fruit | 5 | ≥ 0.4 cup equiv. per 1,000 kcal | No whole fruit | 2.3 (2.0) |
| Total vegetables | 5 | ≥ 1.1 cup equiv. per 1,000 kcal | No vegetables | 2.1 (1.3) |
| Greens and beans | 5 | ≥ 0.2 cup equiv. per 1,000 kcal | No dark green vegetables or beans and peas | 1.1 (1.7) |
| Whole grains | 10 | ≥ 1.5 oz equiv. per 1,000 kcal | No whole grains | 5.8 (3.1) |
| Dairy | 10 | ≥ 1.3 cup equiv. per 1,000 kcal | No dairy | 7.7 (2.3) |
| Total protein foods | 5 | ≥ 2.5 cup equiv. per 1,000 kcal | No protein foods | 4.3 (1.2) |
| Seafood and plant protein | 5 | ≥ 0.8 cup equiv. per 1,000 kcal | No seafood or plant proteins | 1.9 (1.8) |
| Fatty acids | 10 | (PUFAs+MUFAs)/SFAs ≥ 2.5 | (PUFAs+MUFAs)/SFAs < 1.2 | 3.4 (2.9) |
| Moderation Components | ||||
| Refined grains | 10 | ≤ 1.8 cup equiv. per 1,000 kcal | ≥ 4.3 cup equiv. per 1,000 kcal | 5.9 (2.6) |
| Sodium | 10 | ≤ 1.1 gram per 1,000 kcal | ≥ 2.0 gram per 1,000 kcal | 3.5 (2.0) |
| Empty calories | 20 | ≤ 19% of energy | ≥ 50% of energy | 12.1 (3.5) |
| Total HEI score | 100 | 52.7 (10.6) | ||
Figure 1.
HEI-2010 in Childhood Cancer Survivors. The dark dotted pattern indicates the mean HEI-2010 score (HEI Score), and the undotted pattern indicates the percentage of mean score to the maximum score (% HEI of Max. Score).
Table III. Healthy Eating Index (HEI)-2010 by characteristics of childhood cancer survivors.
| N | HEI-2010 | P1 | β (95% CI)2 | β (95% CI)3 | |
|---|---|---|---|---|---|
| Age at study, years | Mean (SD) | ||||
| <12 | 11 | 56.8 (10.0) | ref. | ||
| ≥12 | 11 | 48.6 (9.9) | 0.07 | -0.4 (-1.2, 0.3) | |
| Sex | |||||
| Male | 15 | 51.8 (12.1) | ref. | ||
| Female | 7 | 54.6 (6.6) | 0.58 | 2.7 (-7.5, 13.0) | |
| Race/ethnicity | |||||
| Non-Hispanic white | 17 | 52.9 (9.8) | ref. | ||
| Other | 5 | 52.1 (14.2) | 0.89 | -0.8 (-12.3, 10.7) | |
| Age at diagnosis, years | |||||
| <5 | 11 | 53.6 (11.1) | ref. | ||
| ≥5 | 11 | 51.9 (10.5) | 0.72 | -1.7 (-11.3, 7.9) | |
| Years since diagnosis, years | |||||
| <5 | 9 | 52.6 (12.7) | ref. | ||
| 5-9 | 9 | 57.0 (5.4) | 4.5 (-5.2, 14.1) | ||
| ≥10 | 4 | 43.3 (9.9) | 0.09 | -9.3 (-21.6, 3.0) | -11.5 (-22.1, -0.9) |
| Treatment status | |||||
| Off-treatment | 19 | 51.8 (10.6) | ref. | ||
| On-treatment | 3 | 58.6 (10.5) | 0.31 | 6.9 (-6.8, 20.5) | |
| Cranial radiation | |||||
| No | 20 | 54.3 (10.9) | ref. | ||
| Yes | 2 | 46.7 (4.8) | 0.41 | -6.6 (-23.1, 9.8) | |
| Weight status | |||||
| Healthy weight | 13 | 51.4 (9.4) | ref. | ||
| Overweight/obese | 9 | 54.6 (12.4) | 0.51 | 3.1 (-6.5, 12.8) | |
ANOVA;
Univariate linear regression;
Stepwise linear regression
When macronutrients intake in CCS was compared to the age- and sex-specific recommended intake in the 2010 DGA, none of the survivors met the recommended intake for fiber, and only 29% met the recommendation of having <10 % energy from saturated fat (Table IV). The mean intake of fiber was 63% of the recommended intake whereas the mean % energy from saturated fat was 15% above the recommended level.
Table IV. Comparison of dietary intake in childhood cancer survivors to the 2010 Dietary Guidelines for Americans (DGA)1.
| Nutrients | Intake | Percentage of meeting DGA (%) |
|
||
|---|---|---|---|---|---|
|
| |||||
| Mean | SD | ||||
| Macronutrients | |||||
| Protein (g) | 72 | 19 | --- | 230 | |
| (% calories) | 15 | 4 | 95 | --- | |
| Carbohydrate (g) | 255 | 74 | --- | 196 | |
| (% calories) | 52 | 8 | 76 | --- | |
| Total fiber (g) | 15 | 4 | 0 | 63 | |
| Total fat (% calories) | 33 | 6 | 62 | 112 | |
| Saturated fat (% calories) | 11 | 2 | 29 | 115 | |
| Linoleic acid (g) | 13 | 6 | --- | 112 | |
| (% calories) | 6 | 2 | 71 | --- | |
| α-linolenic acid (g) | 1.6 | 0.8 | --- | 141 | |
| (% calories) | 0.7 | 0.3 | 48 | --- | |
| Cholesterol (mg) | 213 | 99 | 81 | 71 | |
| Minerals | |||||
| Calcium (mcg) | 931 | 337 | 24 | 85 | |
| Iron (mg) | 16 | 6.6 | 62 | 165 | |
| Magnesium (mg) | 233 | 58 | 52 | 112 | |
| Phosphorus (mg) | 1157 | 326 | 71 | 157 | |
| Potassium (mg) | 2141 | 696 | 0 | 50 | |
| Sodium (mg) | 3057 | 814 | 19 | 143 | |
| Zinc (mg) | 11 | 4.5 | 76 | 159 | |
| Copper (mcg) | 1 | 0.3 | 86 | 169 | |
| Selenium (mcg) | 100 | 20 | 100 | 246 | |
| Micronutrients | |||||
| Vitamin A (mcg RAE) | 660 | 491 | 43 | 124 | |
| Vitamin D (mcg) | 4.9 | 3.6 | 5 | 32 | |
| Vitamin E (mg AT) | 7.6 | 3.3 | 19 | 78 | |
| Vitamin C (mg) | 66 | 44 | 62 | 166 | |
| Thiamin (mg) | 1.7 | 0.5 | 100 | 202 | |
| Riboflavin (mg) | 2.1 | 0.8 | 100 | 248 | |
| Niacin (mg) | 22 | 7 | 95 | 192 | |
| Folate (mcg) | 421 | 224 | 67 | 145 | |
| Vitamin B6 (mg) | 1.7 | 0.8 | 90 | 191 | |
| Vitamin B12 (mcg) | 5.0 | 2.7 | 90 | 301 | |
| Choline (mg) | 251 | 91 | 19 | 71 | |
| Vitamin K (mcg) | 75 | 84 | 29 | 75 | |
For most nutrients, the age- and gender- specific recommendations were based on Recommended Daily Allowance (RDA) published in the 2010 Dietary Guidelines for Americans. % calories for macronutrients were based on Acceptable Macronutrient Distribution Range (AMDR); linoleic acid, alpha-linolenic acid, potassium, choline and vitamin D recommendations were based on Adequate Intake (AI); and sodium recommendation was based on Upper Limit (UL).
For minerals, none of the survivors met the recommended intake for potassium, and only 24% met the recommended intake for calcium. However, 81% of the survivors exceeded the upper limit for sodium intake. The mean intake of potassium and calcium was 50% and 85% of the recommended level, respectively, whereas the mean sodium intake was 43% above the recommended level.
For vitamins, only 5% of the survivors met the recommended intake for vitamin D, 19% of the survivors met the recommended intake for vitamin E and choline, and 29% of the survivors met the recommended intake for vitamin K. The mean intake of vitamin D, vitamin E, choline, and vitamin K was 32%, 78%, 71%, and 75% of the recommended intake.
Discussion
Our study is among the few that have assessed nutritional intake in young survivors of childhood cancer (median age=11.7 years), and evaluated whether survivors' diet quality was associated with patient and treatment characteristics. The results suggest poor adherence by childhood cancer survivors to the current dietary guidelines for Americans, and long-term survivors with time from diagnosis for more than 10 years may be at particular risk of poor nutritional status.
Although dietary guidelines have been developed for cancer survivors, such as those developed by the American Cancer Society (34) and the World Cancer Research Fund/the American Institute for Cancer Research (WCRF/AICR),(35) these guidelines focus on survivors with malignancies other than childhood cancer. The long-term follow-up guidelines for CCS developed by the Children's Oncology Group (COG) do not have cancer- and treatment-specific guidelines on nutrition.(36) The lack of specific dietary guidelines for CCS is partly due to the fact that CCS' nutritional intake is still poorly understood. We found a mean HEI-2010 of 52.7 in 22 CCS, similar to the mean HEI-2005 score of 55.5 in a previous study of 91 CCS (mean age=19 years), which assessed adherence to the 2005 DGA.(16) Prior studies, although used different indices and assessment methods to capture nutritional intake, have consistently reported poor diet quality in CCS.(16-18, 37) The mean diet quality score was either less than half (17) or only slightly above half of the maximum score,(16, 18, 37) ranging from 33% to 56%.
For individual food groups, our study and a few others observed poor adherence by CCS to whole fruit and total vegetables.(16, 18, 37, 38) In particular, survivors had a low adherence to green vegetables: the component score only reached 20-22% of the maximum score;(16) and the actual intake in relative to the recommended intake was less than 50%.(17, 18) In contrast, CCS had a better adherence to dairy or milk (65-77%) (16, 17) and total protein foods or meat and beans (73-86%) (16, 17) although the adherence to the seafood and plant protein recommendations remained poor (38% in our study).
When energy-contributing macronutrients were evaluated, our study and two previous studies found CCS consumed high calories from saturated fat, (16, 17) and our study also detected a low ratio of unsaturated fat to saturated fat. In addition, our study and two previous studies (17, 18) found CCS had a poor adherence to fiber intake, likely due to the low consumption of green vegetables. For micronutrients and minerals, we observed a high intake of sodium and a low intake of calcium and vitamin D in CCS. These findings were consistent with previous studies(16, 17, 37) that reported a mean sodium intake > 3,000 mg/day and a high percentage of thee CCS not meeting the recommended intake for vitamin D (19) and/or calcium.(19, 38, 39) Our study along with a previous study (19) also found a very low adherence by CCS to recommended potassium intake, which may be explained by the low consumption of vegetables and fruits.
The overall diet quality in CCS appears to be similar to that in the general population. Based on one-day 24-hour diet recall, the mean HEI-2010 total score in children age 2-17 years in the 2007-2008 National Health and Nutrition Examination Survey (NHANES) was 49.8.(40) The individual components that had the lowest percentage of the maximum score in the general population also included greens and beans (18%), whole grains (18%), and fatty acids (30%). However, children in the 2007-2008 NHANES had a much better adherence to total fruit and whole fruit (80% and 95%, respectively). It has to be noted, however, CCS not only have significantly higher risk of chronic health conditions than the general population but also develop chronic health conditions at a much younger age.(5) Poor nutritional intake can significantly exacerbate treatment-related chronic health conditions experienced by CCS.
Cancer diagnosis may serve as a “teachable moment” and trigger positive dietary changes in the survivors but may also adversely affect nutritional intake through complex pathways. Several regimens for treating hematologic malignancies include corticosteroids, which are known to be critically involved in regulating energy intake, storage, and mobilization. Two previous studies in pediatric patients of ALL reported a significant increase in energy intake during corticosteroid therapy.(41, 42) Anecdotal observations from clinicians also indicate children crave high energy-density foods or salty foods during treatment. These intake patterns were originally thought to be acute responses to cancer treatment. However, recent evidence indicates that children have difficulty reversing unhealthy eating habits after treatment completion,(43) and a high proportion of CCS report taste preferences that interfere with adherence to a healthy diet.(44) Cranial radiation therapy (CRT) is used in leukemia regimens to prevent central nervous system relapse and can directly damage the hypothalamic pituitary region, impairing signaling reception from hormones such as ghrelin and leptin that regulate hunger and appetite.(14, 45-47) These findings support the notion that cancer treatment may have long-lasting impact on survivors' diet. Our sample size was limited and we did not find diet quality in CCS was associated with survivors' age, sex, or race/ethnicity neither was survivors' age at diagnosis or receipt of CRT, although there were some suggestions that long-term survivors (time from diagnosis ≥10 years) had a lower diet quality than more recent survivors (time from diagnosis <5 years). Only one previous study (16) evaluated diet quality in association with treatment exposure and found CCS treated with CRT had a lower diet quality than those treated without CRT. However, both studies were based on small cohorts of survivors. Large-scale studies with systematic assessments on patient and treatment characteristics are required to further quantify the impact of cancer diagnosis and treatment on nutritional intake in CCS.
The limitations of our study include small sample size that limits small differences in diet quality to be detected by patient or treatment characteristics and the lack of age- and sex-matched healthy controls. Our study included only survivors of childhood ALL or lymphoma and excluded CCS with comorbid conditions that affect dietary intake and energy expenditure, so the results may not be applicable to CCS with other cancer types or comorbidities. However, our study is among the few studies that assessed nutritional intake in young CCS using repeated 24-hour dietary recalls. We have previously validated energy intake (EI) reported from repeated dietary recalls and from food frequency questionnaire (FFQ), both against total energy expenditure (TEE) measured using the doubly labeled water method. We found substantial underreporting of EI from FFQ but not from repeated recalls: (EI-TEE)/TEE ×100% = 21.8% from FFQ and -0.9% from repeated recalls. The use of repeated recalls allowed us to accurately assess survivors' nutritional intake and compare that to the US dietary guidelines.
In summary, findings from our study suggest CCS, in particular long-term survivors, exhibit poor diet quality. Although this study may not directly inform changes in clinical management of this population, there is growing evidence suggesting that CCS experience unhealthy weight gain early in treatment and a large proportion of CCS become overweight or obese following treatment completion (∼40%).(48) Conversations with parents need to be initiated early for healthy weight management through healthy eating and avoiding inactivity. For specific dietary recommendations, we need future large-scale studies to further understand dietary intake in CCS, how dietary intake in CCS are correlated with treatment and patient characteristics, and whether CCS's nutritional intake is associated with survival outcomes or quality of life measures. These findings will inform targeted dietary interventions to improve the long-term health of the growing cohorts of childhood cancer survivors.
Acknowledgments
This research is supported by a Catalyst Grant, awarded by the Tufts Clinical and Translational Science Award, funded by the National Center for Research Resources Grant Number UL1 RR025752, National Center for Advancing Translational Sciences, the National Institutes of Health Grant Number UL1 TR000073, and the Boston Nutrition Obesity Research Center Grant Number P30DK46200. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Footnotes
Conflict of Interest: The authors have no conflicts of interests to disclose.
References
- 1.Mariotto AB, Rowland JH, Yabroff KR, Scoppa S, Hachey M, Ries L, Feuer EJ. Long-term survivors of childhood cancers in the United States. Cancer Epidemiol Biomarkers Prev. 2009;18(4):1033–40. doi: 10.1158/1055-9965.EPI-08-0988. [DOI] [PubMed] [Google Scholar]
- 2.Robison LL, Hudson MM. Survivors of childhood and adolescent cancer: life-long risks and responsibilities. Nat Rev Cancer. 2014;14(1):61–70. doi: 10.1038/nrc3634. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hudson MM, Ness KK, Gurney JG, Mulrooney DA, Chemaitilly W, Krull KR, Green DM, Armstrong GT, Nottage KA, Jones KE, Sklar CA, Srivastava DK, Robison LL. Clinical ascertainment of health outcomes among adults treated for childhood cancer. JAMA. 2013;309(22):2371–81. doi: 10.1001/jama.2013.6296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Armstrong GT, Liu Q, Yasui Y, Neglia JP, Leisenring W, Robison LL, Mertens AC. Late mortality among 5-year survivors of childhood cancer: a summary from the Childhood Cancer Survivor Study. J Clin Oncol. 2009;27(14):2328–38. doi: 10.1200/JCO.2008.21.1425. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Armstrong GT, Kawashima T, Leisenring W, Stratton K, Stovall M, Hudson MM, Sklar CA, Robison LL, Oeffinger KC. Aging and risk of severe, disabling, life-threatening, and fatal events in the childhood cancer survivor study. J Clin Oncol. 2014;32(12):1218–27. doi: 10.1200/JCO.2013.51.1055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Mertens AC, Liu Q, Neglia JP, Wasilewski K, Leisenring W, Armstrong GT, Robison LL, Yasui Y. Cause-specific late mortality among 5-year survivors of childhood cancer: the Childhood Cancer Survivor Study. J Natl Cancer Inst. 2008;100(19):1368–79. doi: 10.1093/jnci/djn310. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Rugbjerg K, Mellemkjaer L, Boice JD, Kober L, Ewertz M, Olsen JH. Cardiovascular disease in survivors of adolescent and young adult cancer: a Danish cohort study, 1943-2009. J Natl Cancer Inst. 2014;106(6):dju110. doi: 10.1093/jnci/dju110. [DOI] [PubMed] [Google Scholar]
- 8.Oeffinger KC. Are survivors of acute lymphoblastic leukemia (ALL) at increased risk of cardiovascular disease? Pediatr Blood Cancer. 2008;50(2 Suppl):462–7. doi: 10.1002/pbc.21410. discussion 8. [DOI] [PubMed] [Google Scholar]
- 9.Bowers DC, Liu Y, Leisenring W, McNeil E, Stovall M, Gurney JG, Robison LL, Packer RJ, Oeffinger KC. Late-occurring stroke among long-term survivors of childhood leukemia and brain tumors: a report from the Childhood Cancer Survivor Study. J Clin Oncol. 2006;24(33):5277–82. doi: 10.1200/JCO.2006.07.2884. [DOI] [PubMed] [Google Scholar]
- 10.Meacham LR, Chow EJ, Ness KK, Kamdar KY, Chen Y, Yasui Y, Oeffinger KC, Sklar CA, Robison LL, Mertens AC. Cardiovascular risk factors in adult survivors of pediatric cancer--a report from the childhood cancer survivor study. Cancer Epidemiol Biomarkers Prev. 2010;19(1):170–81. doi: 10.1158/1055-9965.EPI-09-0555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Nottage KA, Ness KK, Li C, Srivastava D, Robison LL, Hudson MM. Metabolic syndrome and cardiovascular risk among long-term survivors of acute lymphoblastic leukaemia - From the St. Jude Lifetime Cohort. Br J Haematol. 2014;165(3):364–74. doi: 10.1111/bjh.12754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Meacham LR, Sklar CA, Li S, Liu Q, Gimpel N, Yasui Y, Whitton JA, Stovall M, Robison LL, Oeffinger KC. Diabetes mellitus in long-term survivors of childhood cancer. Increased risk associated with radiation therapy: a report for the childhood cancer survivor study. Arch Intern Med. 2009;169(15):1381–8. doi: 10.1001/archinternmed.2009.209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Oeffinger KC, Adams-Huet B, Victor RG, Church TS, Snell PG, Dunn AL, Eshelman-Kent DA, Ross R, Janiszewski PM, Turoff AJ, Brooks S, Vega GL. Insulin resistance and risk factors for cardiovascular disease in young adult survivors of childhood acute lymphoblastic leukemia. J Clin Oncol. 2009;27(22):3698–704. doi: 10.1200/JCO.2008.19.7251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Oeffinger KC, Mertens AC, Sklar CA, Yasui Y, Fears T, Stovall M, Vik TA, Inskip PD, Robison LL. Obesity in adult survivors of childhood acute lymphoblastic leukemia: a report from the Childhood Cancer Survivor Study. J Clin Oncol. 2003;21(7):1359–65. doi: 10.1200/JCO.2003.06.131. [DOI] [PubMed] [Google Scholar]
- 15.Zhang FF, Kelly MJ, Saltzman E, Must A, Roberts SB, Parsons SK. Obesity in Pediatric ALL Survivors: A Meta-Analysis. Pediatrics. 2014;133(3):704–15. doi: 10.1542/peds.2013-3332. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Landy DC, Lipsitz SR, Kurtz JM, Hinkle AS, Constine LS, Adams MJ, Lipshultz SE, Miller TL. Dietary quality, caloric intake, and adiposity of childhood cancer survivors and their siblings: an analysis from the cardiac risk factors in childhood cancer survivors study. Nutr Cancer. 2013;65(4):547–55. doi: 10.1080/01635581.2013.770042. [DOI] [PubMed] [Google Scholar]
- 17.Robien K, Ness KK, Klesges LM, Baker KS, Gurney JG. Poor adherence to dietary guidelines among adult survivors of childhood acute lymphoblastic leukemia. J Pediatr Hematol Oncol. 2008;30(11):815–22. doi: 10.1097/MPH.0b013e31817e4ad9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Tonorezos ES, Robien K, Eshelman-Kent D, Moskowitz CS, Church TS, Ross R, Oeffinger KC. Contribution of diet and physical activity to metabolic parameters among survivors of childhood leukemia. Cancer Causes Control. 2013;24(2):313–21. doi: 10.1007/s10552-012-0116-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Tylavsky FA, Smith K, Surprise H, Garland S, Yan X, McCammon E, Hudson MM, Pui CH, Kaste SC. Nutritional intake of long-term survivors of childhood acute lymphoblastic leukemia: evidence for bone health interventional opportunities. Pediatr Blood Cancer. 2010;55(7):1362–9. doi: 10.1002/pbc.22737. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Zhang FF, Saltzman E, Must A, Parsons SK. Do childhood cancer survivors meet the diet and physical activity guidlines? A review of guidelines and literature. International Journal of Child Health and Nutrition. 2012;1(1):44–58. doi: 10.6000/1929-4247.2012.01.01.06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Livingstone MB, Black AE. Markers of the validity of reported energy intake. J Nutr. 2003;133(Suppl 3):895S–920S. doi: 10.1093/jn/133.3.895S. [DOI] [PubMed] [Google Scholar]
- 22.Willett WC, editor. Nutritional Epidemiology. New York, NY: Oxford University Press; 1998. [Google Scholar]
- 23.Zhang FF, Roberts SB, Parsons SK, Must A, Kelly MJ, Wong WW, Saltzman E. Low Levels of Energy Expenditure in Childhood Cancer Survivors: Implications for Obesity Prevention. J Pediatr Hematol Oncol. 2014 doi: 10.1097/MPH.0000000000000250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Conway JM, Ingwersen LA, Moshfegh AJ. Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study. J Am Diet Assoc. 2004;104(4):595–603. doi: 10.1016/j.jada.2004.01.007. [DOI] [PubMed] [Google Scholar]
- 25.Jonnalagadda SS, Mitchell DC, Smiciklas-Wright H, Meaker KB, Van Heel N, Karmally W, Ershow AG, Kris-Etherton PM. Accuracy of energy intake data estimated by a multiple-pass, 24-hour dietary recall technique. J Am Diet Assoc. 2000;100(3):303–8. doi: 10.1016/s0002-8223(00)00095-x. quiz 9-11. [DOI] [PubMed] [Google Scholar]
- 26.Livingstone MB, Robson PJ, Wallace JM. Issues in dietary intake assessment of children and adolescents. Br J Nutr. 2004;92(Suppl 2):S213–22. doi: 10.1079/bjn20041169. [DOI] [PubMed] [Google Scholar]
- 27.U.S. Department of Agriculture (USDA) Dietary Guidelines for Americans. 7th. Washington, DC; 2010. [Google Scholar]
- 28.Guenther PM, Kirkpatrick SI, Reedy J, Krebs-Smith SM, Buckman DW, Dodd KW, Casavale KO, Carroll RJ. The Healthy Eating Index-2010 is a valid and reliable measure of diet quality according to the 2010 Dietary Guidelines for Americans. J Nutr. 2014;144(3):399–407. doi: 10.3945/jn.113.183079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Centers for Disease Control and Prevention. 2000 CDC growth charts. 2000. [Google Scholar]
- 30.Barlow SE. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics. 2007;120(Suppl 4):S164–92. doi: 10.1542/peds.2007-2329C. [DOI] [PubMed] [Google Scholar]
- 31.Hedley AA, Ogden CL, Johnson CL, Carroll MD, Curtin LR, Flegal KM. Prevalence of overweight and obesity among US children, adolescents, and adults, 1999-2002. JAMA. 2004;291(23):2847–50. doi: 10.1001/jama.291.23.2847. [DOI] [PubMed] [Google Scholar]
- 32.Esbenshade AJ, Simmons JH, Koyama T, Koehler E, Whitlock JA, Friedman DL. Body mass index and blood pressure changes over the course of treatment of pediatric acute lymphoblastic leukemia. Pediatr Blood Cancer. 2011;56(3):372–8. doi: 10.1002/pbc.22782. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Institute of Medicine FaNB. Dietary Reference Intakes: Estimated Average Requirements and Recommended Intake. Washington, DC: National Academy Press; [Google Scholar]
- 34.Rock CL, Doyle C, Demark-Wahnefried W, Meyerhardt J, Courneya KS, Schwartz AL, Bandera EV, Hamilton KK, Grant B, McCullough M, Byers T, Gansler T. Nutrition and physical activity guidelines for cancer survivors. CA Cancer J Clin. 2012;62(4):242–74. doi: 10.3322/caac.21142. [DOI] [PubMed] [Google Scholar]
- 35.WCRF/AICR. Food, nutrition, physical activity and the prevention of cancer: a global perspective. Washington, DC: World Cancer Research Fund; American Institute for Cancer Research; 2007. [Google Scholar]
- 36.Children's Oncology Group. Long-Term Follow-Up Guidelines for Survivors of Childhood, Adolescent, and Young Adult Cancers. 2013 [Google Scholar]
- 37.Smith WA, Li C, Nottage KA, Mulrooney DA, Armstrong GT, Lanctot JQ, Chemaitilly W, Laver JH, Srivastava DK, Robison LL, Hudson MM, Ness KK. Lifestyle and metabolic syndrome in adult survivors of childhood cancer: A report from the St. Jude Lifetime Cohort Study. Cancer. 2014;120(17):2742–50. doi: 10.1002/cncr.28670. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Demark-Wahnefried W, Werner C, Clipp EC, Guill AB, Bonner M, Jones LW, Rosoff PM. Survivors of childhood cancer and their guardians. Cancer. 2005;103(10):2171–80. doi: 10.1002/cncr.21009. [DOI] [PubMed] [Google Scholar]
- 39.Cohen J, Wakefield CE, Fleming CA, Gawthorne R, Tapsell LC, Cohn RJ. Dietary intake after treatment in child cancer survivors. Pediatr Blood Cancer. 2012;58(5):752–7. doi: 10.1002/pbc.23280. [DOI] [PubMed] [Google Scholar]
- 40.Hiza HA, Guenther PM, Rihane CI. In: Diet quality of children 2-17 years as measured by the Healthy Eating Index-2010. Promotion UCfNPa, editor. USDA; 2013. [Google Scholar]
- 41.Jansen H, Postma A, Stolk RP, Kamps WA. Acute lymphoblastic leukemia and obesity: increased energy intake or decreased physical activity? Support Care Cancer. 2009;17(1):103–6. doi: 10.1007/s00520-008-0531-0. [DOI] [PubMed] [Google Scholar]
- 42.Reilly JJ, Brougham M, Montgomery C, Richardson F, Kelly A, Gibson BE. Effect of glucocorticoid therapy on energy intake in children treated for acute lymphoblastic leukemia. J Clin Endocrinol Metab. 2001;86(8):3742–5. doi: 10.1210/jcem.86.8.7764. [DOI] [PubMed] [Google Scholar]
- 43.Stern M, Lamana L, Russell C, Edwin L, Thompson A, Trapp S, Bitsko M, Mazzeo S. Adaptation of an Obesity Intervention Program for Pediatric Cancer Survivors (NOURISH-T) Clinical Practice in Pediatric Psychology. 2013;1(3):264–75. [Google Scholar]
- 44.Arroyave WD, Clipp EC, Miller PE, Jones LW, Ward DS, Bonner MJ, Rosoff PM, Snyder DC, Demark-Wahnefried W. Childhood cancer survivors' perceived barriers to improving exercise and dietary behaviors. Oncol Nurs Forum. 2008;35(1):121–30. doi: 10.1188/08.ONF.121-130. [DOI] [PubMed] [Google Scholar]
- 45.Samaan MC, Thabane L, Burrow S, Dillenburg RF, Scheinemann K. Canadian Study of Determinants of Endometabolic Health in ChIlDrEn (CanDECIDE study): a cohort study protocol examining the mechanisms of obesity in survivors of childhood brain tumours. BMJ Open. 2013;3(6) doi: 10.1136/bmjopen-2013-002869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Sklar CA, Mertens AC, Walter A, Mitchell D, Nesbit ME, O'Leary M, Hutchinson R, Meadows AT, Robison LL. Changes in body mass index and prevalence of overweight in survivors of childhood acute lymphoblastic leukemia: role of cranial irradiation. Med Pediatr Oncol. 2000;35(2):91–5. doi: 10.1002/1096-911x(200008)35:2<91::aid-mpo1>3.0.co;2-g. [DOI] [PubMed] [Google Scholar]
- 47.von Deneen KM, Liu Y. Obesity as an addiction: Why do the obese eat more? Maturitas. 2011;68(4):342–5. doi: 10.1016/j.maturitas.2011.01.018. [DOI] [PubMed] [Google Scholar]
- 48.Zhang FF, Rodday AM, Kelly MJ, Must A, Macpherson C, Roberts SB, Saltzman E, Parsons SK. Predictors of being overweight or obese in survivors of pediatric acute lymphoblastic leukemia (ALL) Pediatr Blood Cancer. 2014;61(7):1263–9. doi: 10.1002/pbc.24960. [DOI] [PMC free article] [PubMed] [Google Scholar]

