Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2021 Aug 1.
Published in final edited form as: J Cancer Surviv. 2020 Apr 14;14(4):586–599. doi: 10.1007/s11764-020-00882-y

Breastfeeding practices among childhood cancer survivors

Susan Ogg 1, James L Klosky 2,*, Wassim Chemaitilly 3, Deo Kumar Srivastava 4, Mingjuan Wang 5, Ginger Carney 6, Rohit Ojha 7,**, Leslie L Robison 8, Cheryl L Cox 9, Melissa M Hudson 10
PMCID: PMC7384306  NIHMSID: NIHMS1603525  PMID: 32291564

Abstract

Purpose

This cross-sectional study compared breastfeeding outcomes among childhood cancer survivors to those of women in the general population and evaluated whether breastfeeding is adversely affected by cancer treatment or endocrine-related late effects.

Methods

A self-reported survey ascertained breastfeeding practices and incorporated items from the questionnaires used in the Infant Feeding Practices Study II (IFPS II) to allow comparison with the general population. Among 710 eligible survivors, 472 (66%) responded. The participants were predominantly non-Hispanic White (84%), married (73%), and had some college or less (60%). The mean maternal age at the time of birth of the first child after cancer treatment was 24 years (SD 24.3 ± 4.8).

Results

Fewer survivors planned to breastfeed than did IFPS II controls (67% vs. 82%, P < .0001), and fewer survivors initiated breastfeeding (66% vs. 85%, P < .0001). The median breastfeeding duration was shorter among survivors, with early undesired weaning occurring sooner in the survivor group (1.4 months, interquartile range (IQR) 0.5–3.5 months) than in the IFPS II group (2.7 months, IQR 0.9–5.4 months). A higher proportion of survivors reported an unfavorable breastfeeding experience (19% vs. 7.5%, P < .0001) and early, undesired weaning (57.5%, 95% CI 51–64) than did IFPS II participants (45.2%, 95% CI 44–47, P = .0164). Among survivors who expressed intention and choose to breastfeed, 46% endorsed disrupted lactation related to physiologic problems with high risk in those overweight/obese.

Conclusions

Survivors are at risk of negative breastfeeding experiences; however, lactation outcomes were not significantly associated with cancer diagnosis, treatments, or endocrine complications.

Implications for Cancer Survivors

Prior research has not examined the association of cancer treatments and clinically validated late effects with lactation outcomes in a clinically diverse childhood cancer survivor cohort. Findings from this study suggest that childhood cancer survivors, especially those who are overweight/obese, are at risk of having negative breastfeeding experiences. Early undesired weaning, physiologic problems related to lactation and misconceptions about breastfeeding, especially fears of passing on cancer through breastmilk, highlight the need for counseling and specialized support to optimize lactation outcomes in this vulnerable population.

Keywords: Breastfeeding, Lactation, Childhood cancer survivors, Cancer treatment, Late effects

Introduction

Advances in pediatric cancer treatment have resulted in a growing population of adult survivors, many of whom experience treatment-related adverse health outcomes. Current estimates predict >500,000 survivors of childhood cancer living in the United States by 2020. As of January 1, 2011, more than 70,000 female childhood cancer survivors of childbearing age survived a minimum of 5 years post treatment [1]. Compared to men treated for childhood cancer, female childhood cancer survivors have a higher risk of diminished health status [2, 3], however, most reach reproductive age and many desire biological parenthood [4]. Prior data on breastfeeding indicates that childhood cancer treatments such as radiation and surgery may result in lactation failure related to direct injury to the mammary glands or anterior pituitary dysfunction [57]. Among childhood cancer survivors, growth hormone (GH) deficiency is the most common anterior pituitary deficit observed following cranial radiation [8]. This and other late effects such as hypothyroidism, diabetes, and obesity potentially impact successful lactation [911].

Our study aimed to compare breastfeeding outcomes among mothers surviving childhood cancer to mothers in the general population and to evaluate if breastfeeding is adversely affected by cancer treatment or endocrine-related late effects. We hypothesized that female survivors of childhood cancer would have higher frequencies of physiologic-related lactation difficulties than healthy women due to cancer or treatment-related complications.

Methods

In this cross-sectional study, a survey was mailed to mothers to assess their experiences with childbirth and infant feeding practices related to their first child born following treatment for childhood cancer. The protocol was approved by the St. Jude Children’s Research Hospital (SJCRH) Institutional Review Board and the completion/return of the survey implied consent to participate in the study, thereby granting a waiver for a signed consent form. Eligible female survivors of childhood cancer were identified among those returning for annual follow-up in the SJCRH After Completion of Therapy (ACT) Clinic or participating in the St. Jude Lifetime Cohort Study (SJLIFE). Following active cancer treatment, patients are eligible for transfer to the ACT Clinic. Survivors eligible for follow-up in the ACT Clinic must be cancer-free for at least two years post treatment completion and at least five years post diagnosis. ACT patients are evaluated annually until they are 18 years of age and 10 years after diagnosis. SJLIFE is a retrospective cohort study with prospective follow-up and ongoing data accrual. The detailed methods for ascertainment, recruitment and evaluation of this cohort of cancer survivors have been reported previously [1214]. Specific eligibility criteria for inclusion in the present study included being female, ≥18 years of age, report of a live birth, and ability to read and understand English. Study questionnaires were completed at one time point by participants utilizing a web-based entry or by scannable paper forms. Survivors were queried regarding prenatal plans for infant feeding, initiation and duration of breastfeeding, and reasons for weaning or choosing not to breastfeed specific to their first child post cancer treatment. Additionally, some questions related specifically to cancer treatment and experiences were included (Table 1).

Table 1.

Domains assessed in the lactation outcomes survey

Domains Sample questions

Intention Before the birth of your first child following childhood cancer treatment, what method did you PLAN to use to feed your baby?
Initiation Did you ever breastfeed, try to breastfeed, or pump milk for your baby, either in the hospital or birth center or after you went home?
Duration How old was your baby when you completely stopped breastfeeding or pumping milk?
Health status Did you have any breast conditions (scarring, implants, uneven breast size surgeries) before or during this pregnancy?
Before delivering your first child after cancer treatment, did anyone tell you that you might not be able to breastfeed due to your cancer treatment?
Did you have any birth complications (breech presentation, placental problems, maternal heart problems, etc.)?
Did you take any medications or herbal remedies to boost milk production?
Please comment on any other breastfeeding/pregnancy experiences or difficulties.
Perceptions and preferences about breastfeeding How important was it to you to breastfeed your baby?
How confident were you that you would be able to breastfeed as long as you planned?
Did anyone tell you that you might not be able to breastfeed due to your cancer treatment?

To determine the prevalence of early, undesired weaning and disrupted lactation associated with physiologic problems among childhood cancer survivors, we utilized a similar methodology to that reported by Stuebe, et al. in the Infant Feeding Practices Study II (IFPS II). IFPS II, conducted by the Food and Drug Administration (FDA) and the Centers for Disease Control and Prevention (CDC), was a longitudinal study that enrolled 4902 women and followed approximately 2,000 mother -infant pairs from the third trimester of pregnancy throughout the first year of life to study a variety of infant feeding practices [15]. Lactation outcomes of interest were compared between survivors and IFPS II who 1) completed the survey (n=4902); 2) reported initiation of breastfeeding (n=2572); and 3) decided not to breastfeed (n=461) (Table 4). Survivors (n=243) and IFPS II participants (n=2335) who expressed intentions to breastfeed and initiated breastfeeding were used in the analysis for early, undesired weaning and disrupted lactation. For the purposes of our comparison, we used the IFPS responses from the questionnaires specifically related to prenatal, neonatal, and infant feeding.

Participants were classified based on breastfeeding and/or pumping milk attempts. We determined “intention to breastfeed” by asking how old each mother anticipated their baby would be when she stopped breastfeeding or pumping milk. “Early weaning” was then defined as less time spent breastfeeding than intended by the mother in her prenatal plan. For the purposes of this study, “expected weaning” was defined as ending breastfeeding at a time equal to, or greater than the response to the prenatal question “How old do you think your baby will be when you completely stop breastfeeding?” The question “Did you breastfeed as long as you wanted to?” was used to determine “undesired weaning.” Analytic categories included 1) Expected/early desired weaning and 2) Disrupted lactation (Figure 1).

Fig. 1.

Fig. 1

Flow diagram of the study cohort

Boxes in grey/black indicate groups used in analysis of comparison of Participants (N=472) and nonparticipants (N=238) (Table 2)

Boxes in blue/white indicate groups used in analysis of comparison of cancer survivors who did (N=304) and did not breastfeed (N=154) (Table 3)

Boxes in black/white indicate groups used in analysis of comparison of expected (N=63)/early desired weaning (N=39) and disrupted lactation (N=124) (Table 5)

Mothers were also asked to respond to a list of 30 reasons for choosing to discontinue breastfeeding, using a Likert scale from “1–Not important at all” to “4–Very important.” These responses were dichotomized into two categories of “Not Important” (“Not at all important” or “Not very important”) and “Important” (“Somewhat important” or “very important”). To assess the prevalence of lactation problems secondary to physiologic causes, we analyzed self-reported reasons for early, undesired weaning. “Disrupted lactation” was defined as early, undesired weaning as well as discontinuing breastfeeding due to any one of eight physiologic reasons (such as difficulties with milk supply, sore, cracked and bleeding nipples, trouble with latching, baby not gaining enough weight, etc.). Disrupted lactation as defined by Stuebe in the IFPS II included endorsement of at least two of three physiologic problems as important reasons for stopping breastfeeding [15]. In the present study, we considered any of eight physiologic reasons to define disrupted lactation. Because depressive symptomology in the postpartum period influences infant feeding outcomes [16], we also analyzed self-reports of depression by asking “Did you suffer any problems following the birth of your baby?” Response options to this question specified postpartum depression and physiologic complications.

Pediatric cancer diagnosis and treatment information were abstracted from the medical records according to a structured protocol [17]. Diagnostic categories used for analysis included central nervous system (CNS) tumor, non-CNS solid malignancy, leukemia, and Hodgkin and non-Hodgkin lymphoma. Treatment modalities examined included brain, neck, chest, abdomen or pelvis radiation as well as surgeries involving the brain, breast and thyroid. Endocrine-related treatment complications were validated by medical record review and defined by the diagnosis of GH deficiency, diabetes mellitus, and/or hypothyroidism prior to and up to one year after the birth of the first child after completion of cancer treatment. In the absence of an established diagnosis and/or ongoing treatment of endocrinopathy, GH deficiency, hypothyroidism and diabetes mellitus were defined by insulin-like growth factor-1 (IGF-1) plasma values < –2 zs for age and sex, free T4 values < 0.9 ng/dL and fasting glucose ≥ 126 mg/dL, respectively [18]. Participant BMI was calculated at a date near the beginning of the pregnancy. We used diagnoses of overweight/obesity recorded within three years prior to the pregnancy or one year after the pregnancy for analysis, using criteria determined per Centers for Disease Control guidelines [19].

Data from the IFPS II were used to compare survivor reports of breastfeeding experiences to the general population. IFPS II recruited participants from a nationally distributed consumer opinion panel of more than 500,000 US households, enrolling 4,902 participants [20]. We included in our analysis some questions replicated in both studies, such as “How did you plan to feed your baby prior to birth?” and “How old was your baby when you stopped breastfeeding?”

Statistical Analysis

Descriptive statistics were used to summarize the demographic and treatment variables for survivors who did (participants) and did not respond (nonparticipants) to the survey and participants who did and did not breastfeed. The Chi-square test was used to compare categorical variables and the t-test was used to compare continuous variables between each of the paired groups. Chi-square test or t-test was also used to compare demographic and breastfeeding outcomes between survivors and mothers in the general population.

The univariate associations between demographic, clinical factors and disrupted lactation were examined by using Chi-square test for categorical variables and t-test for continuous variables. Variables with p-value less than 0.1 were included in a modified Poisson multivariable regression model [21] to estimate relative risk (RR) of disrupted lactation and 95% confidence intervals (CI). Analyses were conducted using Statistical Analysis System software (SAS 9.4, Cary NC).

Results

Surveys were completed by 472 (66%) of 710 eligible female cancer survivors. Table 2 summarizes the demographic and treatment characteristics of participants and nonparticipants. Participants were more likely to be non-Hispanic White, older at time of survey, older and a longer elapsed time from diagnosis at birth of first child after treatment, more likely to have treatment with neck or abdominal irradiation, and more likely to have diagnosis of hypothyroidism. Of interest, when asked to rate the level of concern about passing cancer on to the baby through breast milk, 26.8% of survivors were “a little concerned” or “very concerned.”

Table 2.

Comparison of clinical characteristics of the childhood cancer survivor survey study participants and eligible nonparticipants

Participants
N=472
Nonparticipants
N=238
Variables N (%) N (%) P value

Race
 Non-Hispanic White 396 (83.9) 174 (73.1) <0.001
 Other 76 (16.1) 64 (26.9)
Age at survey
 Mean ± SD 38.6 ± 8.0 36.7 ± 8.3 0.003
Age at birth of first child after treatment
 Mean ± SD 24.3 ± 4.8 22.5 ± 4.4 <0.001a
Time from diagnosis to birth of first child after treatment
 Mean ± SD 14.9 ± 7.1 13.4 ± 6.8 0.007a
Time since diagnosis to survey
 Mean ± SD 29.2 ± 8.7 27.6 ± 9.4 0.03
Marital status
 Married 342 (72.5)
 Not married 130 (27.5)
Educational level
 High school, some college or less 283 (60.0)
 College or postgraduate 189 (40.0)
Household income
 Unknown 35 (7.4)
 Under $40,000 262 (55.5)
 $40,000 or more 175 (37.1)
Employment status
 Unknown 11 (2.3)
 Employed 279 (59.1)
 Unemployed 182 (38.6)
Cancer diagnosis
 Hodgkin/non-Hodgkin lymphoma 99 (21.0) 43 (18.1) 0.72
 Leukemia 172 (36.4) 86 (36.1)
 CNS tumor 27 (5.7) 17 (7.1)
 Non-CNS solid tumor 174 (36.9) 92 (38.7)
Brain radiation
 No 349 (73.9) 182 (76.5) 0.46
 Yes 123 (26.1) 56 (23.5)
Neck radiation
 No 285 (60.4) 167 (70.2) 0.010
 Yes 187 (39.6) 71 (29.8)
Chest radiation
 No 352 (74.6) 193 (81.1) 0.052
 Yes 120 (25.4) 45 (18.9)
Abdomen radiation
 No 383 (81.1) 209 (87.8) 0.024
 Yes 89 (18.9) 29 (12.2)
Neurosurgery
 No 432 (91.5) 219 (92.0) 0.82
 Yes 40 (8.5) 19 (8.0)
Thyroidectomy
 No 465 (98.5) 236 (99.2) 0.73b
 Yes 7 (1.5) 2 (0.8)
Breast surgery
 No 439 (93.0) 226 (95.0) 0.31
 Yes 33 (7.0) 12 (5.0)
Growth hormone deficiency
 No 463 (98.1) 236 (99.2) 0.35b
 Yes 9 (1.9) 2 (0.8)
Hypothyroidism
 No 420 (89.0) 227 (95.4) 0.005
 Yes 52 (11.0) 11 (4.6)
Diabetes
 No 467 (98.9) 235 (98.7) 1.000b
 Yes 5 (1.1) 3 (1.3)
BMI
 Normal/underweight 293 (64.0)
 Overweight/obese 165 (36.0)
a

T test

b

Fisher exact test

SD, standard deviation

Table 3 summarizes the clinical characteristics of survivors who did and did not breastfeed. Among participants, 294 (62%) reported a plan to breastfeed and 269 (57%) subsequently initiated breastfeeding (Figure 1). Compared to participants who did not attempt breastfeeding, women who chose to breastfeed were more likely to be non-Hispanic White, younger at time of survey, older and a longer elapsed time from birth of first child after treatment, married, have higher educational attainment and household income, be employed, and not be concerned about passing cancer to their babies through breastmilk. They did not differ by cancer treatment exposures or history of endocrine disorders.

Table 3.

Comparison of clinical characteristics of childhood cancer survivor participants who did and did not breastfeed

Breastfed
Did not breastfeed
Variable N=304(%) N=154 (%) P value

Race
 Non-Hispanic White 270 (88.8) 116 (75.3) <0.001a
 Other 34 (11.2) 38 (24.7)
Age at survey
 Mean ± SD 38.0 ± 7.9 39.8 ± 8.0 0.023a
Age at birth of first child after treatment
 Mean ± SD 25.0 ± 4.7 22.9 ± 4.6 <0.0001a
Time from diagnosis to birth of first child after treatment (years)
 Mean ± SD) 15.8 ± 7.2 12.9 ± 6.2 <0.0001a
Time since diagnosis to survey (years)
 Mean ± SD 28.7 ± 8.9 29.8 ± 8.3 0.23a
Marital status
 Married 248 (81.6) 83 (53.9) <0.0001
 Not married 56 (18.4) 71 (46.1)
Educational level
 High school, some college or less 161 (53.0) 113 (73.4) <0.0001
 College or postgraduate 143 (47.0) 41 (26.6)
Household income
 Under $40,000 154 (54.4) 106 (71.1) <0.001
 $40,000 or more 129 (45.6) 43 (28.9)
Employment status
 Employed 194 (65.3) 83 (54.2) 0.018
 Unemployed 103 (34.7) 70 (45.8)
Diagnosis
 Hodgkin/non-Hodgkin lymphoma 65 (21.4) 33 (21.4) 0.73
 Leukemia 107 (35.2) 61 (39.6)
 CNS tumor 19 (6.3) 7 (4.5)
 Non-CNS solid tumor 113 (37.2) 53 (34.4)
Brain radiation
 No 229 (75.3) 109 (70.8) 0.29
 Yes 75 (24.7) 45 (29.2)
Neck radiation
 No 189 (62.2) 87 (56.5) 0.24
 Yes 115 (37.8) 67 (43.5)
Chest radiation
 No 222 (73.0) 118 (76.6) 0.41
 Yes 82 (27.0) 36 (23.4)
Abdomen radiation
 No 244 (80.3) 126 (81.8) 0.69
 Yes 60 (19.7) 28 (18.2)
Neurosurgery
 No 278 (91.4) 141 (91.6) 0.97
 Yes 26 (8.6) 13 (8.4)
Thyroidectomy
 No 300 (98.7) 151 (98.1) 0.60b
 Yes 4 (1.3) 3 (1.9)
Breast surgery
 No 281 (92.4) 144 (93.5) 0.68
 Yes 23 (7.6) 10 (6.5)
Growth hormone deficiency
 No 299 (98.4) 150 (97.4) 0.49b
 Yes 5 (1.6) 4 (2.6)
Hypothyroidism
 No 272 (89.5) 135 (87.7) 0.56
 Yes 32 (10.5) 19 (12.3)
Diabetes
 No 299 (98.4) 154 (100.0) 0.17b
 Yes 5 (1.6) 0 (0.0)
BMI
 Normal/underweight 194 (65.8) 95 (62.5) 0.49
 Overweight/obese 101 (34.2) 57 (37.5)
Postpartum depression
 No 222 (75.5) 121 (82.3) 0.11
 Yes 72 (24.5) 26 (17.7)
Concern about passing cancer
 Not concerned 242 (79.9) 93 (60.8) <0.0001
 Concerned 61 (20.1) 60 (39.2)
a

T test

b

Fisher exact test

SD, standard deviation

Lactation outcomes among survivors and IFPS II participants

Breastfeeding intentions and outcomes differed significantly between childhood cancer survivor respondents and participants in the IFPS II (Table 4). During the prenatal period, fewer survivors planned to breastfeed (67% vs 82%, P<.0001) and fewer attempted to initiate breastfeeding during the post-natal period (66% vs 85%, P<.0001). Reasons for not ever breastfeeding also differed between survivors and IFPS II mothers. The latter were more likely to report “I believe that formula is as good as breastfeeding or that formula is better” (P=0.05), or “I thought breastfeeding would be too inconvenient” (P<.0001). Breastfeeding experience, assistance with breastfeeding, and reasons for deciding to stop breastfeeding were compared between survivors and IFPS II participants. During the first two weeks of breastfeeding, more survivors perceived that they did not have enough milk (32% vs 14%, P<.0001). Significantly more IFPS II mothers answered “Lactation Consultant” (P<.0001) to “Who helped you with breastfeeding?” while more survivors reported receiving help from their doctor (P=.004) and family members (P<.0001). More survivors perceived that their breastfeeding experience was unfavorable (19% vs 7.5%, P<.0001) and responded that they were less likely than IFPS II participants to try breastfeeding again (18% vs 6.2%, P<.0001). In addition, more survivors reported having trouble “getting milk to flow” (P<.0001), that baby had trouble sucking or latching on (P=0.003), and problems with sore, cracked, or bleeding nipples (P<.0001) than the IFPS II participants. The rates of unplanned or emergency cesarean deliveries was higher in survivors compared to the IFPS II cohort (30.6% vs 12%, P<.0001).

Table 4.

Comparison of lactation outcomes among survivors and Infant Feeding Practices Study II participants

Responses from all participants Survivors (N=472)
N (%)
IFPS II (N=4902)
N(%)
P value
Prenatal breastfeeding intentions
 Plan to breastfeed 310 (66.7) 3984 (81.6) <0.0001
 Plan to formula feed only 150 (32.3) 706 (14.5)
 Don’t know 5 (1.1) 191 (3.9)
Breastfeeding initiation
 Yes 304 (66.4) 2572 (84.8) <0.0001
 No 154 (33.6) 461 (15.2)
Method of delivery
 Vaginally and not induced 146 (31.9) 1157 (38.2) <0.0001
 Vaginally and induced 130 (28.4) 1017 (33.6)
 Planned cesarean (C-section) 42 (9.2) 489 (16.2)
 Unplanned or emergency cesarean 140 (30.6) 363 (12.0)

Responses from participants who breastfed Survivors (N=304)
N (%)
IFPS II (N=2572)
N(%)
P value

Breastfeeding experience
 Enough breast milk during first 2 weeks
  No 206 (67.8) 2202 (85.7) <0.0001
  Yes 98 (32.2) 366 (14.3)
Assistance with breast feeding
 Doctor helped with breastfeeding
  No 292 (96.1) 1867 (98.5) 0.004
  Yes 12 (3.9) 29 (1.5)
Lactation consultant helped with breastfeeding
  No 166 (54.6) 735 (38.8) <0.0001
  Yes 138 (45.4) 1161 (61.2)
Nurse helped with breastfeeding
  No 85 (28.0) 546 (28.8) 0.7645
  Yes 219 (72.0) 1350 (71.2)
Family member helped with breastfeeding
  No 222 (73.0) 1626 (85.8) <0.0001
  Yes 82 (27.0) 270 (14.2)
Overall breastfeeding experience
  Unfavorable 55 (18.9) 109 (7.5) <0.0001
  Favorable 236 (81.1) 1339 (92.5)
Reasons for decision to stop breastfeeding
 I didn’t have enough milk
 Not important 130 (46.1) 768 (53.4) 0.025
 Important 152 (53.9) 670 (46.6)
Breast milk alone did not satisfy my baby
 Not important 146 (53.9) 721 (50.1) 0.26
 Important 125 (46.1) 717 (49.9)
Had trouble getting the milk flow to start
 Not important 177 (64.6) 1114 (77.5) <0.0001
 Important 97 (35.4) 324 (22.5)
My baby had trouble suckling or latching on
 Not important 187 (67.5) 1117 (77.6) 0.0003
 Important 90 (32.5) 323 (22.4)
My nipples were sore, cracked, or bleeding
 Not important 190 (70.4) 1187 (82.5) <0.0001
 Important 80 (29.6) 251 (17.5)
Thought baby was not gaining enough weight
 Not important 206 (76.0) 1215 (84.5) 0.0006
 Important 65 (24.0) 223 (15.5)
Breastfeeding was too painful
 Not important 210 (77.5) 1253 (87.1) <0.0001
 Important 61 (22.5) 185 (12.8)
My breasts were overfull or engorged
 Not important 216 (80.3) 1293 (89.9) <0.0001
 Important 53 (19.7) 145 (10.1)
My baby lost interest or weaned him or herself
 Not important 223 (83.2) 1012 (70.4) <0.0001
 Important 45 (16.8) 426 (29.6)
Breastfeeding was too inconvenient
 Not important 232 (86.2) 1200 (83.4) 0.25
 Important 37 (13.8) 238 (16.6)
Future breastfeeding intentions
 Less likely 52 (17.8) 90 (6.2) <0.0001
 Likely 240 (82.2) 1353 (93.8)

Perception and Preferences of participants who did not breastfeed Survivors (N=154)
N (%)
IFPS II (N=461)
N (%)
P value

Formula is as good/better than breastfeeding
 Not important 58 (44.6) 145 (35.1) 0.0507
 Important 72 (55.4) 268 (64.9)
Breastfeeding would be too inconvenient
 Not important 96 (74.4) 193 (47.0) <0.0001
 Important 33 (25.6) 218 (53.0)
Want/need someone to feed baby other than me
 Not important 102 (80.3) 225 (54.1) <0.0001
 Important 25 (19.7) 191 (45.9)
Someone else wants to feed my baby
 Not important 113 (89.7) 248 (60.5) <0.0001
 Important 13 (10.7) 162 (39.5)
I thought I would not have enough milk
 Not important 90 (70.3) 313 (76.0) 0.1988
 Important 38 (29.7) 99 (24.0)

Variable numbers for comparison are due to missing responses to survey items

A higher prevalence of early, undesired weaning was reported in survivors compared to the general population, 57.5% (95% CI 51–64) vs 45.2% (95% CI 44–47, P=.016). Among survivors that reported early, undesired weaning, the median duration of breastfeeding was shorter, 1.38 months (IQR 0.5–3.5 months) compared to a median duration of 2.7 months (IQR 0.9–5.4 months) in the IFPS II group. The most frequently endorsed reasons for stopping breastfeeding in both the survivor group and the IFPS II population were “I didn’t have enough milk” and “Breastmilk alone did not satisfy my baby.” More women in the general population stopped breastfeeding when they thought their baby lost interest or began to wean him or herself (P<.0001) compared to survivors.

Disrupted lactation among survivors

The analysis compared outcomes of women who reported expected (N=63) or early desired weaning (N=36) to those who endorsed disrupted lactation (n=124) (Table 5). Of those who endorsed disrupted lactation, median duration of breastfeeding was 1.4 months (SD 0.5–3.0) compared to 8.0 months (SD 0.5–3.0) in the expected/early desired weaning group (P<.0001). The rate of self-reported postpartum depression was higher in participants with disrupted lactation but not statistically different from those in the expected/early desired weaning group (29% vs 20%, P=.11). Multivariable analysis showed that overweight/obesity was associated with disrupted lactation (RR 1.4, 95% CI, 1.1–1.8, P=.003) (Table 6).

Table 5.

Comparison of clinical characteristics of childhood cancer survivors with expected/desired weaning and disrupted lactation

Expected weaning/early desired (N = 102)
Disrupted lactation (N = 124)
Variable n (%) n (%) P value

Race
 Non-Hispanic White 88 (86.3) 114 (91.9) 0.1693
 Other 14 (13.7) 10 (8.1)
Age at study
 Mean ± SD 37.5 ± 7.5 38.1 ± 8.0 0.6108a
Age at time of birth of first child after treatment
 Mean ± SD 26.2 ± 4.9 25.0 ± 4.5 0.0450a
Time since diagnosis to when first child after treatment was born
 Mean ± SD 16.5 ± 7.0 15.9 ± 7.4 0.5417a
Time since diagnosis to study
 Mean ± SD 27.8 ± 8.2 29.0 ± 8.8 0.2920a
Duration of breastfeeding
 Median (IQR) 8.0 (4.0–12.0) 1.4 (0.5–3.0) <0.0001b
Marital status
 Married 85 (83.3) 104 (83.9) 0.9134
 Not married 17 (16.7) 20 (16.1)
Educational level
 High school, some college or less 43 (42.2) 66 (53.2) 0.0975
 College or postgraduate 59 (57.8) 58 (46.8)
Household income
 Under $40,000 40 (41.2) 66 (54.5) 0.0507
 $40,000 or more 57 (58.8) 55 (45.5)
Employment status
 Employed 65 (65.0) 86 (70.5) 0.3827
 Unemployed 35 (35.0) 36 (29.5)
Diagnosis
 Hodgkin/Non-Hodgkin Lymphoma 26 (25.5) 26 (21.0) 0.8262
 Leukemia 32 (31.4) 45 (36.3)
 CNS 5 (4.9) 6 (4.8)
 Solid Tumor 39 (38.2) 47 (37.9)
Childhood cancer treatment
Brain radiation
 No 88 (86.3) 98 (79.0) 0.1557
 Yes 14 (13.7) 26 (21.0)
Neck radiation
 No 72 (70.6) 80 (64.5) 0.3331
 Yes 30 (29.4) 44 (35.5)
Chest radiation
 No 73 (71.6) 91 (73.4) 0.7604
 Yes 29 (28.4) 33 (26.6)
Abdomen radiation
 No 80 (78.4) 100 (80.6) 0.6808
 Yes 22 (21.6) 24 (19.4)
Neurosurgery
 No 94 (92.2) 115 (92.7) 0.8682
 Yes 8 (7.8) 9 (7.3)
Thyroidectomy
 No 100 (98.0) 123 (99.2) 0.5903c
 Yes 2 (2.0) 1 (0.8)
Breast surgery
 No 96 (94.1) 114 (91.9) 0.5245
 Yes 6 (5.9) 10 (8.1)
Chronic health conditions
Growth hormone deficiency
 No 100 (98.0) 123 (99.2) 0.5903c
 Yes 2 (2.0) 1 (0.8)
Hypothyroidism
 No 90 (88.2) 110 (88.7) 0.9114
 Yes 12 (11.8) 14 (11.3)
Diabetes
 No 100 (98.0) 123 (99.2) 0.5903c
 Yes 2 (2.0) 1 (0.8)
BMI
 Normal/underweight 75 (75.8) 72 (60.0) 0.0135
 Overweight/obese 24 (24.2) 48 (40.0)
Postpartum depression
 Yes 20 (20.0) 35 (29.4) 0.1096
 No 80 (80.0) 84 (70.6)
Doctor helped with breastfeeding
 No 97 (95.1) 121 (97.6) 0.4727c
 Yes 5 (4.9) 3 (2.4)
Lactation consultant helped with breastfeeding
 No 49 (48.0) 70 (56.5) 0.2075
 Yes 53 (52.0) 54 (43.5)
Nurse helped with breastfeeding
 No 30 (29.4) 29 (23.4) 0.3048
 Yes 72 (70.6) 95 (76.6)
Family member helped with breastfeeding
 No 75 (73.5) 92 (74.2) 0.9099
 Yes 27 (26.5) 32 (25.8)
a

T test

b

Wilcoxon rank-sum test

c

Fisher exact test

SD, standard deviation

Table 6.

Multivariable analysis of predictors of disrupted lactation in childhood cancer survivors

Variable Relative risk 95% CI P value

Age at birth of first child after treatment
 Per year 0.98 0.95–1.00 0.0655
Educational level
 College or postgraduate 1.00
 Under college 1.02 0.76–1.37 0.8814
Household income
 $40,000 or more 1.00
 Under $40,000 1.08 0.81–1.43 0.6059
BMI
 NormalNormal/underweight 1.00
 Overweight/obese 1.41 1.12–1.78 0.0031

Discussion

This study examined cancer treatment and endocrine-related late effects on lactation outcomes among a large, clinically diverse cohort of childhood cancer survivors. Findings indicate that survivors, compared to the general population, have lower intention to breastfeed, shorter duration of breastfeeding, and higher prevalence of negative breastfeeding experiences. This growing population of childhood cancer survivors has an increased risk for treatment-related late effects, including second malignancies, cardiovascular disease, and endocrine disorders [22, 23], problems for which breastfeeding has been shown to mitigate in healthy women [24]. These data underscore the importance of educating survivors contemplating pregnancy about the physiologic benefits breastfeeding provides and providing lactation support after delivery.

There is a dearth of studies evaluating lactation outcomes among women treated with chest and cranial irradiation. One case series observed lactation failure in 10 of 12 women treated with 24 Gy cranial irradiation, hypothesized to result from GH deficiency [6]. In another study of 83 survivors of Hodgkin lymphoma treated with chest irradiation, 57 of 94 (61%) reported successful breastfeeding attempts [5]. We hypothesized that cancer-/treatment-related endocrinopathy adversely impacts breastfeeding, however lactation difficulties were not endorsed more frequently among survivors with GH deficiency, hypothyroidism or diabetes mellitus. Obesity was the only health-related variable that significantly affected breastfeeding. Previous studies in healthy populations have reported associations between maternal obesity and decreased intention, initiation, and duration of breastfeeding, less adequate milk supply, and delayed onset of stage II lactogenesis [2527]. Collectively, these data underscore the importance of educating survivors that treatment-related endocrinopathies are unlikely to adversely affect their ability to breastfeed and encouraging attainment/maintenance of a healthy weight when planning pregnancy.

Prenatally, survivors expressed doubts about having sufficient milk supply and concerns about passing cancer through breastmilk. Past experiences with diminished health may contribute to worries of potentially negative infant feeding experiences. Oncology and obstetrical providers should counsel survivors that there is no data to support transmission of cancer through breastfeeding. Among survivors who successfully initiated breastfeeding, a substantial proportion experienced early weaning due to disrupted lactation. This group had significantly shorter breastfeeding durations than those with undisrupted lactation and did not meet their breastfeeding goals. It is important to recognize that shorter breastfeeding duration among survivors may lead to feelings of failure and depressive symptoms in the postnatal period. In the general population, failed lactation and perinatal depression frequently occur together [28] and our data indicated a high occurrence of both clinical problems in survivors. Obstetric providers should be aware of these common comorbid conditions and assess women with breastfeeding problems for depression, as well as refer women with depressive symptoms for breastfeeding support [28].

Strengths of our study include our large and well-characterized population of childhood cancer survivors with detailed information on lactation outcomes. Aligning our assessment of lactation outcomes with those used by IFPS II allowed for comparisons to population norms. However, our results should be considered in the context of its limitations. There is potential for bias considering the 66% participation rate, yet previous analyses have indicated that SJLIFE participants are generally representative of all potential eligible survivors [14]. A methodological challenge in our study was the use of self-report to determine prevalence of lactation dysfunction. Perception of insufficient milk supply is common among most new mothers [29], and the potential for misreporting should be considered. Another issue is the potential for misclassification from recall errors. In addition, the small number of endocrine late effects in this population of survivors who were able to achieve a pregnancy limited the statistical power of analyses when evaluating their relationship to lactation outcomes. Finally, while not a lactation outcome, the finding of higher rates of unplanned or emergency cesarean deliveries in survivors compared to the IFPS II cohort is of interest. A previous study found no elevated risk of emergency cesarean among childhood cancer survivors [30] however, our finding of higher rates compared to the general population warrants further investigation.

Our results have considerable clinical implications and highlight the importance of professional lactation support for this growing population. Knowledge deficits among healthcare professionals about late effects following cancer therapies can be an obstacle to providing good care [31]. Healthcare providers, especially obstetricians, are in a unique position to encourage breastfeeding, which is known to have beneficial physiological effects [32] that may mitigate the severity or impact late effects of pediatric cancer/therapy, while also evaluating and treating breastfeeding complications. Survivors in our study were more likely to report receiving help from family members as opposed to lactation specialists. Previous studies show that mothers are less likely to discontinue breastfeeding if they receive encouragement from their clinician [33]. The Surgeon General’s Call to Action to Support Breastfeeding asserts that most problems can be alleviated by supportive care, especially by professionals with certifications in lactation management [34]. Risk factors that lead to weaning are critical issues to address during obstetrical visits, especially with overweight/obese survivors. Pre-and postnatal counseling should be tailored to the survivor’s understanding and concerns.

Acknowledgments

Funding: This study was supported by NCI U01CA195547 (MMH/LLR) and the American Lebanese Syrian Associated Charities (ALSAC).

Footnotes

Conflict of Interest: The authors declare that they have no conflict of interest

Compliance with ethical standards

Ethical Approval: This study has been approved by the St. Jude Children’s Research Hospital Institutional Review Board and has been performed in accordance with the ethical standards as laid down in the in the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. Completion and return of the survey implied consent to participate in the study, thereby granting a waiver for signed consent.

Clinical Trial Registration: www.clinicaltrials.gov/show/NCT02399956

Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.

References

  • 1.Phillips SM, Padgett LS, Leisenring WM, Stratton KK, Bishop K, Krull KR et al. Survivors of childhood cancer in the United States: prevalence and burden of morbidity. Cancer Epidemiol Biomarkers Prev. 2015;24(4):653–63. doi: 10.1158/1055-9965.EPI-14-1418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hudson MM, Mertens AC, Yasui Y, Hobbie W, Chen H, Gurney JG et al. Health status of adult long-term survivors of childhood cancer: a report from the Childhood Cancer Survivor Study. Jama. 2003;290(12):1583–92. doi: 10.1001/jama.290.12.1583. [DOI] [PubMed] [Google Scholar]
  • 3.Hudson MM, Oeffinger KC, Jones K, Brinkman TM, Krull KR, Mulrooney DA et al. Age-dependent changes in health status in the Childhood Cancer Survivor cohort. Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 2015;33(5):479–91. doi: 10.1200/JCO.2014.57.4863. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.van Dijk M, van den Berg MH, Overbeek A, Lambalk CB, van den Heuvel-Eibrink MM, Tissing WJ et al. Reproductive intentions and use of reproductive health care among female survivors of childhood cancer. Hum Reprod. 2018;33(6):1167–74. doi: 10.1093/humrep/dey058. [DOI] [PubMed] [Google Scholar]
  • 5.McCullough L, Ng A, Najita J, Janov A, Henderson T, Mauch P et al. Breastfeeding in survivors of Hodgkin lymphoma treated with chest radiotherapy. Cancer. 2010;116(20):4866–71. doi: 10.1002/cncr.25442. [DOI] [PubMed] [Google Scholar]
  • 6.Johnston K, Vowels M, Carroll S, Neville K, Cohn R. Failure to lactate: a possible late effect of cranial radiation. Pediatric blood & cancer. 2008;50(3):721–2. doi: 10.1002/pbc.21291. [DOI] [PubMed] [Google Scholar]
  • 7.Neifert M, DeMarzo S, Seacat J, Young D, Leff M, Orleans M. The influence of breast surgery, breast appearance, and pregnancy-induced breast changes on lactation sufficiency as measured by infant weight gain. Birth (Berkeley, Calif). 1990;17(1):31–8. [DOI] [PubMed] [Google Scholar]
  • 8.Chemaitilly W, Li Z, Huang S, Ness KK, Clark KL, Green DM et al. Anterior hypopituitarism in adult survivors of childhood cancers treated with cranial radiotherapy: a report from the St Jude Lifetime Cohort study. Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 2015;33(5):492–500. doi: 10.1200/jco.2014.56.7933. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Alexander EK, Pearce EN, Brent GA, Brown RS, Chen H, Dosiou C et al. 2017. Guidelines of the American Thyroid Association for the Diagnosis and Management of Thyroid Disease During Pregnancy and the Postpartum. Thyroid : official journal of the American Thyroid Association. 2017;27(3):315–89. doi: 10.1089/thy.2016.0457. [DOI] [PubMed] [Google Scholar]
  • 10.Matias SL, Dewey KG, Quesenberry CP Jr., Gunderson EP. Maternal prepregnancy obesity and insulin treatment during pregnancy are independently associated with delayed lactogenesis in women with recent gestational diabetes mellitus. The American journal of clinical nutrition. 2014;99(1):115–21. doi: 10.3945/ajcn.113.073049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Rasmussen KM, Kjolhede CL. Prepregnant overweight and obesity diminish the prolactin response to suckling in the first week postpartum. Pediatrics. 2004;113(5):e465–71. [DOI] [PubMed] [Google Scholar]
  • 12.Hudson MM, Ehrhardt MJ, Bhakta N, Baassiri M, Eissa H, Chemaitilly W et al. Approach for Classification and Severity Grading of Long-term and Late-Onset Health Events among Childhood Cancer Survivors in the St. Jude Lifetime Cohort. Cancer Epidemiol Biomarkers Prev. 2017;26(5):666–74. doi: 10.1158/1055-9965.EPI-16-0812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Hudson MM, Ness KK, Nolan VG, Armstrong GT, Green DM, Morris EB et al. Prospective medical assessment of adults surviving childhood cancer: study design, cohort characteristics, and feasibility of the St. Jude Lifetime Cohort study. Pediatric blood & cancer. 2011;56(5):825–36. doi: 10.1002/pbc.22875. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ojha RP, Oancea SC, Ness KK, Lanctot JQ, Srivastava DK, Robison LL et al. Assessment of potential bias from non-participation in a dynamic clinical cohort of long-term childhood cancer survivors: results from the St. Jude Lifetime Cohort Study. Pediatric blood & cancer. 2013;60(5):856–64. doi: 10.1002/pbc.24348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Stuebe AM, Horton BJ, Chetwynd E, Watkins S, Grewen K, Meltzer-Brody S. Prevalence and risk factors for early, undesired weaning attributed to lactation dysfunction. Journal of women’s health (2002). 2014;23(5):404–12. doi: 10.1089/jwh.2013.4506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Dennis CL, McQueen K. The relationship between infant-feeding outcomes and postpartum depression: a qualitative systematic review. Pediatrics. 2009;123(4):e736–51. doi: 10.1542/peds.2008-1629. [DOI] [PubMed] [Google Scholar]
  • 17.Robison LL, Mertens AC, Boice JD, Breslow NE, Donaldson SS, Green DM et al. Study design and cohort characteristics of the Childhood Cancer Survivor Study: a multi-institutional collaborative project. Med Pediatr Oncol. 2002;38(4):229–39. [DOI] [PubMed] [Google Scholar]
  • 18.Hudson MM, Ness KK, Gurney JG, Mulrooney DA, Chemaitilly W, Krull KR et al. 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]
  • 19.Overweight and Obesity. Available at: http://www.cdc.gov/obesity/index.html.
  • 20.Fein SB, Labiner-Wolfe J, Shealy KR, Li R, Chen J, Grummer-Strawn LM. Infant Feeding Practices Study II: study methods. Pediatrics. 2008;122 Suppl 2:S28–35. doi: 10.1542/peds.2008-1315c. [DOI] [PubMed] [Google Scholar]
  • 21.Zou G A modified poisson regression approach to prospective studies with binary data. American journal of epidemiology. 2004;159(7):702–6. [DOI] [PubMed] [Google Scholar]
  • 22.Armstrong GT, Kawashima T, Leisenring W, Stratton K, Stovall M, Hudson MM et al. Aging and risk of severe, disabling, life-threatening, and fatal events in the childhood cancer survivor study. Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 2014;32(12):1218–27. doi: 10.1200/JCO.2013.51.1055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Bhakta N, Liu Q, Ness KK, Baassiri M, Eissa H, Yeo F et al. The cumulative burden of surviving childhood cancer: an initial report from the St Jude Lifetime Cohort Study (SJLIFE). Lancet (London, England). 2017;390(10112):2569–82. doi: 10.1016/S0140-6736(17)31610-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Ogg SW, Hudson MM, Randolph ME, Klosky JL. Protective effects of breastfeeding for mothers surviving childhood cancer. Journal of Cancer Survivorship. 2011;5(2):175–81. doi: 10.1007/s11764-010-0169-z. [DOI] [PubMed] [Google Scholar]
  • 25.Nommsen-Rivers LA, Chantry CJ, Peerson JM, Cohen RJ, Dewey KG. Delayed onset of lactogenesis among first-time mothers is related to maternal obesity and factors associated with ineffective breastfeeding. The American journal of clinical nutrition. 2010;92(3):574–84. doi: 10.3945/ajcn.2010.29192. [DOI] [PubMed] [Google Scholar]
  • 26.Baker JL, Michaelsen KF, Sorensen TI, Rasmussen KM. High prepregnant body mass index is associated with early termination of full and any breastfeeding in Danish women. The American journal of clinical nutrition. 2007;86(2):404–11. doi: 10.1093/ajcn/86.2.404. [DOI] [PubMed] [Google Scholar]
  • 27.Amir LH, Donath S. A systematic review of maternal obesity and breastfeeding intention, initiation and duration. BMC pregnancy and childbirth. 2007;7:9. doi: 10.1186/1471-2393-7-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Stuebe AM, Grewen K, Pedersen CA, Propper C, Meltzer-Brody S. Failed lactation and perinatal depression: common problems with shared neuroendocrine mechanisms? Journal of women’s health (2002). 2012;21(3):264–72. doi: 10.1089/jwh.2011.3083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.McCann MF, Baydar N, Williams RL. Breastfeeding attitudes and reported problems in a national sample of WIC participants. Journal of human lactation : official journal of International Lactation Consultant Association. 2007;23(4):314–24. doi: 10.1177/0890334407307882. [DOI] [PubMed] [Google Scholar]
  • 30.Reulen RC, Bright CJ, Winter DL, Fidler MM, Wong K, Guha J et al. Pregnancy and Labor Complications in Female Survivors of Childhood Cancer: The British Childhood Cancer Survivor Study. J Natl Cancer Inst. 2017;109(11). doi: 10.1093/jnci/djx056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Robison LL, Hudson MM. Survivors of childhood and adolescent cancer: life-long risks and responsibilities. Nature reviews Cancer. 2014;14(1):61–70. doi: 10.1038/nrc3634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Chowdhury R, Sinha B, Sankar MJ, Taneja S, Bhandari N, Rollins N et al. Breastfeeding and maternal health outcomes: a systematic review and meta-analysis. Acta paediatrica (Oslo, Norway : 1992). 2015;104(467):96–113. doi: 10.1111/apa.13102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Taveras EM, Capra AM, Braveman PA, Jensvold NG, Escobar GJ, Lieu TA. Clinician support and psychosocial risk factors associated with breastfeeding discontinuation. Pediatrics. 2003;112(1 Pt 1):108–15. [DOI] [PubMed] [Google Scholar]
  • 34.Executive summary: The Surgeon General’s call to action to support breastfeeding. Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine. 2011;6(1):3–5. doi: 10.1089/bfm.2011.9996. [DOI] [PubMed] [Google Scholar]

RESOURCES