Abstract
Purpose
Investigate the association between presence, number and type of clinically relevant health conditions and a range of psychosocial outcomes (emotional, social, cognitive, physical) in survivors of childhood cancer (CCS).
Methods
CCS from the Dutch Childhood Cancer Survivor Study (DCCSS)-LATER cohort (diagnosed between 1963–2001, attained age ≥ 18, diagnosed < 18, ≥ 5 years since diagnosis) completed a questionnaire on health conditions (2013–2014), and questionnaires on psychosocial outcomes (2017–2020): Hospital Anxiety and Depression Scale, Short form 36, TNO-AZL Questionnaire for Adult Health-Related Quality of Life, and the Self-Rating Scale for Post-Traumatic Stress Disorder. Associations among health conditions and psychosocial outcomes were assessed with regression analysis, adjusting for attained age, sex, and time since diagnosis, and adjusting for multiple testing (p < 0.004).
Results
A total of 1437 CCS, mean age 36.3 years, 51.1% female, ≥ 15 years since diagnosis, completed questionnaires on health and psychosocial outcomes. CCS with a clinically relevant health condition, and those with more conditions had worse emotional, social, and physical outcomes; regression coefficients were small to moderate. CCS with gastro-intestinal conditions, endocrine, nervous systems, eye, or ear conditions, and especially those with secondary malignant neoplasms, reported worse psychosocial functioning; regression coefficients were small/moderate to large.
Conclusion and implications
Health care professionals should be aware of the increased risk for psychosocial problems among CCS with health conditions, especially for survivors with secondary malignant neoplasms, gastro-intestinal, endocrine, nervous system, eye, and ear conditions. CCS may benefit from psychological interventions to develop coping strategies to manage health conditions and psychosocial consequences of the cancer trajectory.
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Introduction
Survival rates for childhood cancer have significantly improved in recent decades, leading to an increasing population of survivors of childhood cancer (CCS) [1]. Although many years have gone by since their cancer experience, CCS remain at risk for long-term health consequences of their primary cancer and its treatments, including organ dysfunction and the development of second neoplasms [2,3,4]. A recent Dutch study found that nearly 50% of CCS had developed at least one clinically relevant health condition after a median of 18.5 years since diagnosis, and that CCS experienced 2.8 times more health conditions than siblings [5]. Clinically relevant health conditions are defined as morbidities with clinical symptoms and/or requiring medical treatment, and will be further referred to as health conditions [6]. Besides physical long-term health consequences, the cancer experience can have psychosocial consequences in CCS [7]. Although most CCS seem to function well psychosocially, subgroups experience lower quality of life or symptoms like anxiety, depression and post-traumatic stress [8,9,10].
Previous research has shown that cancer-related medical characteristics, such as type of diagnosis, age at diagnosis, and treatment, offer a limited explanation for variation in psychosocial outcomes, although it has been consistently observed that a CNS tumor diagnosis is associated with poorer outcomes [10,11,12]. The role of health conditions may be more prominent in explaining psychosocial functioning in CCS. Some cohort studies found that the presence of any late effect [13] and of any major medical condition [14] was associated with psychological distress, measured with the Brief Symptom Inventory. One cohort study suggests that health related quality of life (HRQOL) was most impaired in CCS with specific health conditions, such as memory problems, and musculoskeletal or neurological problems [12]. However, so far no studies investigated the association between specific health conditions and a wide range of psychosocial outcomes.
The present study aims to explore the association between clinically relevant health conditions (presence, number and specific type) and a wide range of psychosocial outcomes (emotional, social, cognitive, physical) in CCS.
Methods
Design and population
This study is part of the Dutch Childhood Cancer Survivor Study (DCCSS)-LATER study, which is a nationwide cohort study that included all CCS diagnosed between 1963 and 2001, aged < 18 years at diagnosis, ≥ 5 years since diagnosis at time of study, and treated in one of the seven former Dutch pediatric oncology centers [15].
The LATER study consists of two parts: the DCCSS-LATER 1 study (2013–2014) in which data on health conditions were collected [15], and the DCCSS-LATER 2 study (2017–2020) in which data on psychosocial outcomes were collected as part of the LATER Psycho-oncology sub-study [10, 16]. For the Psycho-oncology sub-study, CCS aged ≥ 18 years were eligible. The questionnaires on health conditions and psychosocial outcomes were completed from home, either digitally or using pencil and paper. Informed consent was obtained from all participants included in the study. The medical ethics board of all seven centers approved the study protocol.
Measures
Clinically relevant health conditions
A total of 75 clinically relevant health conditions were established, defined as health conditions that were symptomatic and/or for which medical intervention was required or recommended [5]. Health conditions were validated by self-reported medication use or medical record review. The validation process was conducted by comparing the information from the questionnaires with data on medication use and surgical treatment. If this information was not sufficient to determine whether the condition was present or not (e.g. if a condition was reported but no corresponding medication was listed), medical record data were obtained from the late effects outpatient clinics. Further details of the validation process, including a flowchart illustrating the steps, are described elsewhere [5]. The 75 clinically relevant conditions were clustered into 13 subtypes (Supplementary Table 1). We created a dichotomous variable indicating whether CCS had at least one clinically relevant health condition (presence health condition, yes/no), and a continuous variable indicating the number of clinically relevant health conditions.
Psychosocial outcomes
In this study we explored the association between health conditions (measured in LATER 1) and various domains of psychosocial outcomes (measured in LATER 2) including psychological outcomes and HRQOL, specifically addressing emotional, social, cognitive, and physical domains. We operationalized these domains using the most relevant scales of various questionnaires (Table 1).
Anxiety and Depression: HADS
The Hospital Anxiety and Depression Scale measures anxiety (7 items) and depression (7 items) in the past week (range 0–21) [17, 18]. Higher scores indicate more anxiety or depression. The Cronbach’s α for both subscales was good (0.81-0.83). The HADS has good psychometric properties [17].
Post-Traumatic Stress: SRS-PTSD
The Self-Rating Scale for Post-Traumatic Stress Disorder measures post-traumatic stress symptoms in the previous four weeks (0–17) [19]. Three clusters of symptoms were assessed: re-experiencing (5 items), avoidance (7 items) and hyper-arousal (5 items), and combined to a total score of post-traumatic stress symptoms (PTSS). The items of the questionnaire correspond to the diagnostic criteria for post-traumatic stress disorder (PTSD), as defined by the DSM-IV. When completing the SRS-PTSD, CCS were asked to take their childhood cancer in mind. The Cronbach's α of the total scale was good (α = 0.86). The SRS-PTSD has adequate psychometric properties [20, 21].
HRQOL: TAAQOL
The TNO-AZL Questionnaire for Adult Health-Related Quality of Life (TAAQOL) assesses HRQOL in several domains [22]. From the TAAQOL, we used eight scale scores (each 4 items): positive emotions, social and cognitive functioning, gross motor functioning, sleep, pain, daily activities, and vitality. The TAAQOL comprises two parts: the first part assesses the prevalence of health problems or limitations experienced in the past month, and the second part evaluates the emotional response to these problems or limitations. Respondents answered to both parts on a 4-point Likert scale, and each combination was given a single score between 0 and 4. The domain scores were then calculated and transformed to a 0–100 scale, with higher scores indicating better HRQOL. The internal consistency of the domain scores in the present study was acceptable to good, with Cronbach's alpha values ranging from 0.76-0.92. The TAAQOL has demonstrated adequate psychometric properties [22].
HRQOL: SF-36
The Dutch version of the Short Form 36 (SF-36) Health Survey assesses HRQOL over the past four weeks and consists of eight scales of which we have used the scale general health perceptions (5 items) [23]. The SF-36 scale scores were transformed to a score ranging from 0 to 100, with higher scores indicating better general health perceptions. The SF-36 shows good psychometric properties [24]. Cronbach’s α of the scale score was 0.85.
Background characteristics
Sex was obtained via questionnaires in the DCCSS-LATER 2 study in the same period as the outcome measures were assessed. Attained age (birth month and year) and time since diagnosis were obtained from the DCCSS-LATER registry.
Statistical analysis
Differences between participants and non-participants on socio-demographic and medical characteristics were tested using independent t-tests and Chi-Square tests, with Cohen’s d and Cramer’s V as effect sizes.
The association between health conditions and psychosocial outcomes was investigated with linear multiple regression analyses, adjusting for attained age, sex, and time since diagnosis.
Effect sizes of 0.2, 0.5. and 0.8 were considered small, moderate and large for mean differences between two groups (Cohen’s d) and for regression coefficients (beta’s) of dichotomous independent variables [25]. Effect sizes of 0.1, 0.3 and 0.5 were considered small, moderate and large for Cramer’s V and regression coefficients (beta’s) of continuous independent variables. Regression coefficients of small sizes, defined as ≤ 0.20 for dichotomous independent variables, and ≤ 0.10 for continuous independent variables, were not considered relevant and are therefore not discussed. To correct for multiple testing, a significance level of 0.004 was used for the regression analyses, corresponding to 0.05 divided by the number of 12 outcomes.
Results
Participants
The DCCSS LATER cohort comprised 6165 CCS of which 5455 were alive at time of invitation for the DCCSS-LATER 2 study (Fig. 1). A total of 4671 adult CCS were invited for the DCCSS-LATER 2 study of whom 2485 participated (53.2%). Of these 2485 CCS, 1437 (57.8%) CCS had completed questionnaires on health outcomes in LATER 1 as well as questionnaires on psychosocial outcomes in LATER 2.
Participating CCS had a mean age of 36.3 years (SD 9.6, range 18–71), 51% were female and mean time since diagnosis was 29.4 years (SD 8.6, range 15–55). Participants were compared to the 2514 (of the 3234) non-participants who did not decline the use of their data. Only small (V ≤ 0.12) differences were found between participants and non-participants on some socio-demographic and medical characteristics (Table 2).
Associations between presence and number of health conditions and psychosocial outcomes
Table 3 and 4 present the regression models of the association between health conditions, defined as presence (yes/no) and number of conditions, and the psychosocial outcomes. The presence of health conditions and a higher number of conditions show a small association with more depressive symptoms and post-traumatic stress symptoms, worse social functioning, and lower quality of life on daily activities. It also shows a small to moderate association with worse gross motor functioning, vitality, and general health perceptions. The presence of a health condition is also associated with lower quality of life on pain. Supplementary Table 2 and 3 present the results by diagnosis (hematologic, CNS, and solid tumor). Associations between health conditions and psychosocial outcomes were small to moderate for each diagnosis group.
Associations between specific health conditions and psychosocial outcomes
Table 5 and 6 present the regression models examining the association between 13 specific types of health conditions and the psychosocial outcomes. Secondary malignant neoplasms, gastro-intestinal conditions, endocrine, nervous systems, eye, and ear conditions were significantly associated with at least two psychosocial outcomes (regression coefficients ≥ 0.2). Largest associations were seen between ear conditions and higher levels of depression (β 0.72), and worse social functioning (β -0.89). Large associations were also seen between musculoskeletal conditions and worse gross motor functioning (β -0.79), and between cardiac conditions and worse general health perceptions (β -0.80). Almost all conditions were associated with worse general health perceptions. Social functioning and physical domains (gross motor functioning, daily activities, vitality and general health perceptions) were associated with ≥ 3 specific types of health conditions.
Discussion
This study highlights the importance of considering the specific type of health condition when explaining psychosocial functioning in CCS. Specifically, we found that CCS with secondary malignant neoplasms, gastro-intestinal conditions, endocrine, nervous systems, eye, or ear conditions reported worse psychosocial functioning. Most impact of health conditions was seen on the social and physical domain.
Almost half of CCS experienced at least one health condition. A recent study in the DCCSS-LATER 1 cohort showed that CCS experienced 2.8 times more health conditions than siblings [5]. In this study we found only a small impact of the overall presence and number of health conditions on psychosocial outcomes. Other studies found an association between health conditions and worse psychosocial outcomes among CCS [12,13,14], but health conditions are operationalized and analyzed in various ways across studies which hinders a direct comparison of results. The fact that overall presence and number of health conditions only explained a small percentage of the variation in psychosocial functioning in CCS suggests that other factors play a more important role in explaining psychosocial functioning, such as how CCS cope with the cancer experience and its late effects [26,27,28], associated subjective appraisals [29, 30], and CCS’ received social support [31,32,33]. In future research, a biopsychosocial approach could be utilized [34], taking into consideration a range of physical, psychological and social factors when explaining psychosocial functioning in CCS.
The specific types of health conditions had a larger impact on psychosocial outcomes than the presence and number of any health condition. This indicates that the specific types of health conditions play a more prominent role in explaining psychosocial functioning in CCS. Psychosocial interventions tailored to different types of health conditions may be necessary to improve outcomes. Out of the specific types of health conditions, having had a second malignant neoplasm was associated with most psychosocial outcomes (6). We found that CCS with secondary malignant neoplasms experienced worse psychosocial outcomes, such as increased anxiety and depression, with a moderate effect size. These outcomes may be attributed to uncertainty regarding the prognosis or to the fear of recurrence (FCR) which has shown to be associated to anxiety and depression [35]. The results of a systematic review indicated that FCR is relatively stable over time and that interventions are therefore of importance [36]. CCS who have experienced a second neoplasm may benefit from (contemporary) cognitive behavioral therapies focusing on processes of cognition such as worry, rumination [37], and the disappointment arising from having to face cancer once again.
Furthermore, we found that having an ear condition, defined as deafness or hearing loss, had a large negative impact on social functioning, and a moderate to large impact on higher depression. It is important to realize that only severe hearing problems are taken into account and other ear conditions, such tinnitus, are not included. The results are in line with research in the general population showing that hearing problems are associated with more depression and loneliness in adults [38]. Since hearing problems are not exclusive to CCS, unlike FCR, CCS might benefit from interventions [39] available in the general population to address hearing problems.
Out of the psychosocial outcomes, the most impact of specific types of health conditions was observed on general health perceptions. Eight types of health conditions showed a moderate to large association with general health perceptions. Therefore, CCS’ perception of diminished health seems to reflect their actual health status.
Given the substantial percentage of CCS experiencing clinically relevant health conditions, and the potential impact of some of these health conditions on psychosocial functioning, international guidelines recommend CCS to attend lifelong follow-up care [40], which can play an important role in monitoring and addressing late effects of childhood cancer. Most late effects may not be preventable or reversible. CCS can therefore benefit from learning coping strategies in psychological interventions to manage physical and psychosocial consequences of the cancer trajectory, as early as possible [27]. Also, many CCS desire information about late effects such as what late effects to expect and how to deal with late effects, indicating the importance of adequate information provision, starting at diagnosis and continuing throughout survivorship care [41, 42].
Strengths and limitations
This is the first cohort study on the presence, number and specific types of clinically relevant health conditions in relation to a wide range of psychosocial outcomes in long-term CCS. Major strengths are the unselected nationwide cohort, the detailed and reliable data regarding health conditions, and the comprehensive range of psychosocial outcomes covering emotional, social, cognitive and physical domains. This provided us with the opportunity to study the association between health conditions and psychosocial functioning in depth.
There are some considerations with the interpretation of the results. First, due to the time gap between the assessment of health conditions and psychosocial outcomes, changes may have occurred in CCS’ health status. While the vast majority of clinically relevant health conditions are permanent [5], CCS may have developed additional conditions in the meantime. Second, we have defined health conditions in various ways in our analysis (presence (yes/no), number, and specific types of health conditions). However, we did not assess the severity of health conditions, which might also affect psychosocial functioning in CCS, although we ensured the clinical relevance of all conditions. Additionally, health outcomes were self-reported and may not always be reported accurately. To mitigate this limitation, we validated the reported outcomes through self-reported medication use or by reviewing medical records. Third, even though this study had a large number of participants, some subgroups with specific types of health conditions were fairly small causing lower power to detect associations with psychosocial outcomes. Fourth, we have extensively examined the association between health outcomes and various psychosocial outcomes. Given the exploratory character of the study and the limited prior research on this topic, we opted for a moderately conservative correction for multiple testing to avoid overlooking potentially relevant associations between health conditions and psychosocial outcomes. Therefore, the possibility of false-positives should be taken into account when interpreting the results. Finally, this study included over half of the CCS invited for the LATER 2 study. We cannot rule out differences in health outcomes and psychosocial outcomes between participants and non-participants. However, we have not found important differences by diagnosis and treatment characteristics, and the presence of health conditions in these participants (45.2%, N = 1437) was in line with the presence in the total group that provided data on health conditions (46.4%, N = 3152) [5].
Conclusion
Our study emphasizes the importance of considering the specific type of health condition when explaining psychosocial functioning in CCS. Specifically, we found that CCS with secondary malignant neoplasms, gastro-intestinal conditions, endocrine, nervous systems, eye, or ear conditions reported worse psychosocial functioning. This is a novel finding that points to the importance of psychosocial interventions tailored to different types of health conditions, which may be necessary to improve outcomes. CCS could benefit from psychological interventions to develop coping strategies to manage health conditions and psychosocial consequences of the cancer trajectory.
Data availability
The dataset analyzed during the current study is available from the corresponding author on reasonable request.
References
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin. 2019;69(1):7–34.
Geenen MM, et al. Medical assessment of adverse health outcomes in long-term survivors of childhood cancer. JAMA. 2007;297(24):2705–15.
Hudson MM, et al. Clinical ascertainment of health outcomes among adults treated for childhood cancer. JAMA. 2013;309(22):2371–81.
Oeffinger KC, et al. Chronic health conditions in adult survivors of childhood cancer. N Engl J Med. 2006;355(15):1572–82.
Streefkerk N, et al. The cumulative burden of self-reported, clinically relevant outcomes in long-term childhood cancer survivors and implications for survivorship care: A DCCSS LATER study. Cancer. 2023;130(8):1349–58.
Streefkerk N, et al. The Dutch LATER physical outcomes set for self-reported data in survivors of childhood cancer. J Cancer Surviv. 2020;14(5):666–76.
Brinkman TM, et al. Psychological Symptoms, Social Outcomes, Socioeconomic Attainment, and Health Behaviors Among Survivors of Childhood Cancer: Current State of the Literature. J Clin Oncol. 2018;36(21):2190–7.
Michel G, et al. Psychological Outcomes, Health-Related Quality of Life, and Neurocognitive Functioning in Survivors of Childhood Cancer and Their Parents. Pediatr Clin North Am. 2020;67(6):1103–34.
McDougall J, Tsonis M. Quality of life in survivors of childhood cancer: a systematic review of the literature (2001–2008). Support Care Cancer. 2009;17(10):1231–46.
Maas A, Maurice-Stam H, Kremer LCM, van der Aa-van Delden A, van Dulmen-den Broeder E, Tissing WJE, Loonen JJ, van der Pal HJH, de Vries ACH, van den Heuvel-Eibrink MM, Ronckers C, Neggers S, Bresters D, Louwerens M, van der Heiden-van der Loo M, van Gorp M, Grootenhuis M, Dutch LATER study group. Psychosocial outcomes in long-term Dutch adult survivors of childhood cancer: The DCCSS-LATER 2 psychooncology study. Cancer. 2023;129(16):2553–2567. https://doi.org/10.1002/cncr.34795
Zeltzer LK, et al. Psychosocial outcomes and health-related quality of life in adult childhood cancer survivors: a report from the childhood cancer survivor study. Cancer Epidemiol Biomarkers Prev. 2008;17(2):435–46.
Rueegg CS, et al. Health-related quality of life in survivors of childhood cancer: the role of chronic health problems. J Cancer Surviv. 2013;7(4):511–22.
Michel G, et al. Psychological distress in adult survivors of childhood cancer: the Swiss Childhood Cancer Survivor study. J Clin Oncol. 2010;28(10):1740–8.
Zeltzer LK, et al. Psychological status in childhood cancer survivors: a report from the Childhood Cancer Survivor Study. J Clin Oncol. 2009;27(14):2396–404.
Teepen JC, et al. Questionnaire- and linkage-based outcomes in Dutch childhood cancer survivors: Methodology of the DCCSS LATER study part 1. Cancer Med. 2023;12(6):7588–602.
Feijen EAM, et al. Clinical evaluation of late outcomes in Dutch childhood cancer survivors: Methodology of the DCCSS LATER 2 study. Pediatr Blood Cancer. 2023;70(5): e30212.
Spinhoven P, et al. A validation study of the Hospital Anxiety and Depression Scale (HADS) in different groups of Dutch subjects. Psychol Med. 1997;27(2):363–70.
Snaith RP, Zigmond AS. The hospital anxiety and depression scale. Br Med J (Clin Res Ed). 1986;292(6516):344.
Sijbrandij M, et al. Self-report screening instruments for post-traumatic stress disorder (PTSD) in survivors of traumatic experiences. Cochrane Database of Systematic Reviews, 2013. 2013(6).
Carlier IV, et al. Clinical utility of a brief diagnostic test for posttraumatic stress disorder. Psychosom Med. 1998;60(1):42–7.
Bronner MB, et al. Course and predictors of posttraumatic stress disorder in parents after pediatric intensive care treatment of their child. J Pediatr Psychol. 2010;35(9):966–74.
Bruil J, et al. TAAQOL Manual. Leiden Center for Child Health and Pediatrics. 2004.
Ware JE, et al. SF-36 Health Survey: Manual and interpretation guide. Boston: The Health Institute; 1993.
Aaronson NK, et al. Translation, validation, and norming of the Dutch language version of the SF-36 Health Survey in community and chronic disease populations. J Clin Epidemiol. 1998;51(11):1055–68.
Cohen J. Statistical power analysis for the behavioral sciences. New York: Academy Press; 1988.
Fisher RS, et al. Coping Trajectories and the Health-Related Quality of Life of Childhood Cancer Survivors. J Pediatr Psychol. 2021;46(8):960–9.
Wenninger K, et al. Coping in long-term survivors of childhood cancer: relations to psychological distress. Psychooncology. 2013;22(4):854–61.
Castellano C, et al. Surviving childhood cancer: relationship between exercise and coping on quality of life. Span J Psychol. 2013;16:E1.
Taieb O, et al. Posttraumatic stress symptoms after childhood cancer. Eur Child Adolesc Psychiatry. 2003;12(6):255–64.
Fleer J, et al. Objective and subjective predictors of cancer-related stress symptoms in testicular cancer survivors. Patient Educ Couns. 2006;64(1–3):142–50.
Kazak AE, et al. Posttraumatic stress, family functioning, and social support in survivors of childhood leukemia and their mothers and fathers. J Consult Clin Psychol. 1997;65(1):120–9.
Woodgate RL. The importance of being there: perspectives of social support by adolescents with cancer. J Pediatr Oncol Nurs. 2006;23(3):122–34.
Cavusoglu H, Saglam H. Examining the perceived social support and psychological symptoms among adolescents with leukemia. J Spec Pediatr Nurs. 2015;20(1):76–85.
Engel GL. The need for a new medical model: a challenge for biomedicine. Psychodyn Psychiatry. 2012;40(3):377–96.
Zhang X, et al. Factors Correlated With Fear of Cancer Recurrence in Cancer Survivors: A Meta-analysis. Cancer Nurs. 2022;45(5):406–15.
Simard S, et al. Fear of cancer recurrence in adult cancer survivors: a systematic review of quantitative studies. J Cancer Surviv. 2013;7(3):300–22.
Tauber NM, et al. Effect of Psychological Intervention on Fear of Cancer Recurrence: A Systematic Review and Meta-Analysis. J Clin Oncol. 2019;37(31):2899–915.
Nachtegaal J, et al. The association between hearing status and psychosocial health before the age of 70 years: results from an internet-based national survey on hearing. Ear Hear. 2009;30(3):302–12.
Michels TC, Duffy MT, Rogers DJ. Hearing Loss in Adults: Differential Diagnosis and Treatment. Am Fam Physician. 2019;100(2):98–108.
Rebholz CE, et al. Follow-up care amongst long-term childhood cancer survivors: a report from the Swiss Childhood Cancer Survivor Study. Eur J Cancer. 2011;47(2):221–9.
McClellan W, et al. Understanding the functional late effects and informational needs of adult survivors of childhood cancer. Oncol Nurs Forum. 2013;40(3):254–62.
van Erp LME, et al. Support needs of Dutch young adult childhood cancer survivors. Support Care Cancer. 2022;30(4):3291–302.
Acknowledgements
We thank all participating CCS for their contribution.
Funding
Funding for this study was provided by KiKa.
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Anne Maas: Conceptualization, formal analysis and writing–original draft. Heleen Maurice-Stam: Conceptualization, funding acquisition, and writing–review and editing. E.A.M. (Lieke) Feijen: Conceptualization and writing–review and editing. Jop C. Teepen: Conceptualization and review and editing. Alied van der Aa-van Delden: Review and editing. Nina Streefkerk: Review and editing. Eline van Dulmen-den Broeder: Project administration and review and editing. Wim J.E. Tissing: Project administration and review and editing. Jacqueline J. Loonen: Project administration and review and editing. Helena J.H. van der Pal: Project administration and review and editing. Andrica C.H. de Vries: Project administration and review and editing. Marry M. van den Heuvel-Eibrink: Project administration and review and editing. Cécile Ronckers: Project administration and review and editing. Sebastian Neggers: Project administration and review and editing. Dorine Bresters: Project administration and review and editing. Marloes Louwerens: Project administration and review and editing. Margriet van der Heiden-van der Loo: Data curation and review and editing. Leontien C.M. Kremer: Conceptualization, funding acquisition, and writing-review and editing. Martha Grootenhuis: Conceptualization, funding acquisition, and writing–review and editing.
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Maas, A., Maurice-Stam, H., Feijen, L.E. et al. The impact of clinically relevant health conditions on psychosocial outcomes in survivors of childhood cancer: results of the DCCSS-LATER study. J Cancer Surviv (2024). https://doi.org/10.1007/s11764-024-01617-z
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DOI: https://doi.org/10.1007/s11764-024-01617-z