Original Paper
Abstract
Background: Acute lymphoblastic leukemia (ALL) is the most common malignancy in childhood, but the prognosis has remarkably improved over the last 50 years in high-income countries, and thus, there is a focus on long-term health outcomes following survival and how to best provide health care support to adult long-term survivors of childhood ALL to prevent and handle potential health problems. Digital health interventions are promising to deliver feasible health promotion and prevention programs. This is particularly relevant for ensuring long-term follow-up in cases where continuous contact with oncology care may be disrupted. Moreover, these interventions are beneficial in reaching geographically dispersed target groups and overcoming the time constraints of everyday life that often hinder participation in such programs.
Objective: This study aimed to fill the gaps in existing research on adult long-term survivors of childhood ALL and provide formative data that can inform the development of formalized follow-up services designed to meet the needs of these survivors in ways that align with their preferences for digital health interventions.
Methods: In this cross-sectional national study, adult survivors (aged ≥18 years) of childhood ALL for over 10 years after diagnosis were compared to their siblings in terms of mental and physical health-related factors, including sleep, stress, anxiety, and depression (Depression Anxiety and Stress Scale 21 [DASS-21]); several dimensions of fatigue (Multidimensional Fatigue Inventory 20 [MFI-20]); work ability (Work Ability Index); chronic pain; and prevalences of diabetes, cardiovascular disease, headache or migraine, and rheumatic disease.
Results: Overall, 426 of 855 eligible ALL survivors responded (mean age 30.9, SD 7.7 years), and they participated at an average of 24 (SD 6.9) years after ALL diagnosis. Siblings (n=135; mean age 31.5, SD 7.7 years) acted as controls. Sleep quality, sleep quantity, and mean work ability scores were significantly lower, and physical fatigue, reduced motivation, and reduced activity scores were higher in ALL survivors than in siblings. There were no significant differences between the groups in terms of BMI and prevalence of chronic pain, depression, anxiety, or stress. Physical and psychological complications were more frequent among adult ALL survivors who had received hematopoietic stem cell transplantation (HSCT) than among those who had not received HSCT.
Conclusions: Our nationwide cross-sectional study addressed the scarcity of knowledge regarding the self-reported health outcomes of adult long-term survivors of childhood ALL. We highlighted significant disparities within this population and emphasized the potential of comprehensive digital interventions that target vitality, sleep quality, fatigue, and psychosocial well-being to enhance well-being and bolster the capacity for managing chronic health conditions in this target group. Such an intervention would align with the needs of this target group, which is a prerequisite for successfully incorporating technology into the daily lives of survivors of childhood ALL.
doi:10.2196/54819
Keywords
Introduction
Acute lymphoblastic leukemia (ALL) is the most common malignancy in childhood and accounts for approximately 30% of all childhood malignancies [
, ]. The prognosis has improved over the last 50 years in high-income countries, from a 5-year overall survival of approximately 5% in the 1970s to over 90% today [ - ]. Cranial irradiation improved the prognosis during the 1970s to 1980s but resulted in neurocognitive and endocrine complications, together with secondary malignancies [ , ]. Therefore, cranial irradiation has been replaced by high-dose methotrexate in most protocols, and for patients in whom cranial irradiation is indicated, the radiation dose has been reduced. However, neurocognitive complications are still present in this group [ ]. In addition, for patients in need of hematopoietic stem cell transplantation (HSCT), the use of total body irradiation in conditioning regimens has so far been superior to other regimens, unfortunately with a high risk of several late complications [ - ]. Despite the continuous improvement in treatment regimens, the burden of chronic health conditions and the rate of hospitalization remain challenges in adult survivors of childhood ALL [ - ].While previous studies have demonstrated a higher prevalence of chronic health conditions and a greater risk of poor health-related quality of life (HRQoL) among childhood ALL survivors [
], there is a relative scarcity of reports regarding other self-rated symptoms, which are essential for the overall health of adult long-term survivors of childhood ALL. These symptoms include psychological issues, fatigue, sleep disturbances, musculoskeletal pain, and self-rated work ability [ ]. These outcomes may not have an immediate connection to the initial diagnosis of a chronic disease and are, in fact, commonly experienced by the general population. However, in the context of lifelong exposure owing to survivorship, these symptoms can accumulate and exert substantial impacts on both health and quality of life.Identifying deviations and variations in these outcomes is of paramount importance. This is not solely to recognize individuals in need of immediate care and support but also to devise and offer interventions that can mitigate adverse health consequences and their impacts on daily life [
]. In Sweden, long-term follow-up guidelines for childhood cancer survivors have been present since 2016 [ ]. This initiated the establishment of long-term follow-up clinics for adult childhood cancer survivors at 6 university hospitals. These clinics offer lifelong follow-up care for irradiated survivors, those who have received HSCT, and others with a high risk of late complications. However, for childhood ALL survivors treated solely with chemotherapy, the recommended practice is a single visit around the age of 25 years, with no further follow-up into adulthood. This aligns with guidelines indicating that limited doses of chemotherapy alone do not necessitate regular screening.Traditional survivorship care has primarily focused on clinical follow-up and the long-term effects of therapy. However, there is a growing recognition of the importance of addressing broader aspects of survivorship, including quality of life, psychosocial well-being, and self-management of health. Participating in continuous health promotion and prevention programs could potentially be challenging for adult long-term survivors of childhood ALL, but digital approaches for such provisions have gained significant attention [
, , ].The use of digital services in long-term follow-up resonates with the preferences of long-term childhood cancer survivors. This demographic is accustomed to incorporating technology into their daily lives and often relies on it for seeking health-related information and support [
, ]. The advantages of digital services are numerous. They can be accessed at any time and from any location, making it easier for survivors to engage with health care resources without the constraints of geographic proximity or scheduling conflicts, and this is particularly beneficial for those who may have mobility issues or live in rural areas. They can provide personalized health information and support based on individual health data and preferences and therefore increase the likelihood of engaging users and helping them meet their specific needs. Moreover, they can facilitate continuous monitoring of health status and provide real-time feedback, supporting effective management of health issues and prompting timely interventions. The establishment of suitable and value-creating digital services for long-term follow-up opens up the possibility of integrating additional services beyond the follow-up of health issues, such as connecting survivors with peer support networks and fostering a sense of community and shared experience [ , ].With existing knowledge on this subject being limited, the primary objective of this nationwide cross-sectional study was to investigate the prevalence of self-reported health and quality of life outcomes among adult survivors of childhood ALL who were diagnosed between 1985 and 2007. Additionally, this study sought to make comparisons between these outcomes in adult survivors and their siblings, who served as a control group with similar upbringing and living conditions, as well as between survivors who received HSCT and those who did not.
By focusing on these specific objectives, our study aims to fill the gaps in existing research on this specific target group of long-term survivors and provide formative data that can inform the development of formalized follow-up services that are designed to meet the needs of ALL survivors in ways that align with their preferences for digital health interventions.
Methods
Participants
In this cross-sectional population-based study, participants were recruited from the Swedish Childhood Cancer Registry, which is a national registry with a high coverage for childhood ALL since 1981 [
]. All individuals who were diagnosed with ALL between 1985 and 2007 at 0 to 18 years of age, were 18 years or older at the time of the study, had a period of over 10 years after diagnosis, and were able to self-report responses to the questionnaire, were eligible for participation.Recruitment
Contact details of the identified individuals were retrieved from the Swedish population register (SPAR, Statistics Sweden). Eligible participants were approached through letters including information about the study and a web link to the digital questionnaire (
) and a consent form. Overall, a maximum of 3 reminders were sent out, of which the third reminder included a paper version of the questionnaire. At the end of the questionnaire, participants had the option to suggest up to 2 of their siblings (age ≥18 years) to participate in the study by leaving contact details. The questionnaire and the procedure of reminders were the same for the siblings ( ). All materials were presented in Swedish, and hence, only those who could read Swedish could participate in the study. Data were collected between January and August 2021 according to a previously described protocol [ ]. Participants were not financially compensated for their contributions.Data Collection
Information on age, sex, year of ALL diagnosis, and type of treatment (HSCT) was collected directly from the Swedish Childhood Cancer Registry. Age was calculated in November 2021 when inclusion was terminated. Factors reflecting several outcomes on health and everyday life were assessed, including physical and mental health status and work ability. In addition, information on sociodemographic parameters was assessed, including marital status, having children, occupational status, and income.
BMI was calculated from self-reported height and weight (weight [in kg] divided by height [in meters]; kg/m2) and categorized as follows: (1) BMI of ≤18; (2) BMI of 19-24; (3) BMI of 25-29; and (4) BMI of ≥30.
Sleep quality was assessed by the item “How would you describe the quality of your sleep?” (referring to the last month). The response options were “good,” “sufficient,” and “poor.” Sleep quantity was assessed by the item “How many hours do you usually sleep per night?” The response options were <5 hours, 5-7 hours, 7-9 hours, and >9 hours.
Depression, anxiety, and stress were assessed by the Depression Anxiety and Stress Scale 21 (DASS-21), which is a short version of the DASS-42. Each of the 3 subscales is comprised of 7 items with responses reflecting 4 levels (0-3). To yield scores equivalent to scores in the DASS-42, the total score of each subscale is multiplied by 2, and thus, the scores range from 0 to 42. The subscores are categorized according to severity into normal, mild, moderate, severe, and extremely severe [
]. In this study, further categorization was adopted (“normal,” “mild/moderate,” and “severe/extremely severe”).Chronic musculoskeletal pain was assessed by the key item “Have you experienced pain lasting more than 3 months during the last 12 months?” The question was followed by the presentation of a mannequin through which the location of the pain could be reported at 18 predefined bodily regions in the musculoskeletal system. The head and abdomen were not included [
, ]. Chronic widespread pain (CWP) was defined as included in the American College of Rheumatology 1990 criteria for fibromyalgia [ ], according to which pain should be present in both the left and right sides of the body, above and below the waist, and in the axial skeleton. In addition, the pain should have lasted for 3 months or more to be considered chronic. If chronic pain was present (according to the key item), without fulfilling the criteria for CWP, the patients were classified as having chronic regional pain. Patients who had not experienced pain lasting more than 3 months during the last 12 months were categorized as having no chronic pain.Work ability was assessed by the item “Current work ability compared with lifetime best” from the Work Ability Index (WAI). The item was scored from 0 (worst) to 10 (best) [
, ].Fatigue was assessed by the Multidimensional Fatigue Inventory 20 (MFI-20) [
, ]. It consists of 20 items divided into 5 subscales: general fatigue; physical fatigue, reduced motivation, reduced activity, and mental fatigue. Each item is scored on a 5-point scale, and each subscale score ranges from 4 to 20, with a higher value indicating worse problems.Comorbidity was assessed by items based on the Charlson Comorbidity Index [
], including the following: cardiovascular disease (CVD) (including items on ischemic heart disease, heart failure, bypass, and stroke), headache/migraine, diabetes, and rheumatoid disease (including rheumatoid arthritis, polymyalgia rheumatica, and systemic lupus erythematosus).Data Analysis
Analyses were performed to describe differences between the adult survivors of childhood ALL and their siblings regarding sociodemographic parameters and mental health and physical health parameters. Further, comparisons were performed between adult survivors of childhood ALL who had not received HSCT and those who had received HSCT, as well as between adult survivors of childhood ALL who had received HSCT and their siblings. For the comparison of means, 2-sided t-tests were performed. When comparing distributions by categorical variables, differences were evaluated by the chi-square test or Fisher exact test, as appropriate. All statistical analyses were performed using SPSS 26 (IBM Corp) without compensating for missing data.
Ethical Considerations
This study was performed in accordance with the ethics approval obtained from the Swedish Ethics Review Authority (Dnr 2019-05181). Participation was based on voluntariness and informed consent. Participants could withdraw their participation whenever they wanted without having to provide a reason. All data were stored according to the Swedish University standards of research data storage and were handled with confidentiality. A key code was used to deidentify the primary data. It was kept separate and was only accessible to the first author. No remuneration was provided to the participants.
Results
Overall, 905 survivors of childhood ALL were identified, of which 45 had no address or a wrong address registered and could thus not be approached and 5 could not self-report responses to the questionnaire owing to Down syndrome functional disability (information provided by their caretakers when invited to the study). The remaining 855 survivors of childhood ALL were approached through letters, of whom 389 did not respond to the inquiry and 26 actively declined to participate. Of the 440 who agreed to participate, 14 did not respond to any of the items in the questionnaire, resulting in 426 (49.8%) of the 855 eligible survivors participating in the study (
). Of the 215 siblings identified by the participating survivors of childhood ALL, 8 could not be reached owing to wrong contact details and 135 (62.8%) responded to the same questionnaire as the survivors of childhood ALL.![](https://asset.jmir.pub/assets/7918c9b309ab3d18c38359722ee290d0.png)
Among the ALL survivors, between 13 and 36 years had passed since they had received their ALL diagnosis (mean 24, SD 6.9 years). There was no difference in the mean age between those who participated and those who did not participate (31.7 and 31.3 years, respectively; P=.48). Similarly, there was no difference in the mean age at diagnosis between participants and nonparticipants (6.3 and 6.7 years, respectively; P=.16). There was a higher proportion of women among those who participated in the study than among those who did not (208/426, 48.8% vs 172/429, 40.1%; P=.01). There were significantly more ALL survivors who had been treated with HSCT among those who participated than among those who did not participate (33/426, 7.7% vs 24/429, 5.6%; P<.001). However, information on HSCT was missing more frequently in the registry among those who did not participate than among those who participated (152/426, 35.7% vs 91/429, 21.2%; P<.001).
The adult survivors of childhood ALL had a similar mean age as the group of siblings (30.9 and 31.5 years, respectively). However, the maximum age was somewhat higher among siblings than among ALL survivors (range 18-54 years and 18-49 years, respectively), with the difference being significant (P=.04) but most likely not relevant. The female-to-male distribution was more among survivors of childhood ALL (209/426, 49.0% females) than among siblings (84/135, 62.2% females). A larger proportion of siblings than ALL survivors was married or cohabiting (90/135, 66.7% vs 231/426, 54.2%) or in a relationship (13/135, 9.6% vs 34/426, 8.0%), and it was more common for siblings than ALL survivors to have children (68/135, 50.4% vs 167/426, 39.3%). There were no significant differences between the groups regarding occupational status; however, monthly income was significantly lower among ALL survivors than among siblings (P<.001) (
).There were no significant differences between the groups in BMI, mental health (depression, anxiety, and stress), and the prevalence of chronic musculoskeletal pain or comorbidities (CVD, diabetes, rheumatic disease, or headache). However, although not statistically significant, a larger proportion of ALL survivors than siblings had CVD (31/407, 7.6% vs 4/125, 3.2%) and rheumatic disease (17/405, 4.0% vs 1/125, 0.8%). Childhood ALL survivors had worse sleep quality (P=.009) and sleep quantity (P=.046), had inferior work ability (P=.01), scored worse on physical fatigue (P<.001), and reported reduced motivation (P<.001) and reduced activity (P<.001) compared with the findings in siblings (
).Among the childhood ALL survivors, 33 had received HSCT, while 303 had not received HSCT. There was no difference in mean age between those who had received HSCT and those who had not. The number of chronic pain sites was significantly higher among childhood ALL survivors who had received HSCT than among survivors who had not received HSCT (P=.02). Moreover, there was a difference in the prevalence of CWP; however, the difference was not statistically significant (P=.051). The prevalence of diabetes was higher and work ability was worse among survivors who had received HSCT than among those who had not received HSCT (P=.007 and P=.01, respectively). However, no differences between the groups were seen in terms of BMI, sleep, stress, anxiety, depression, fatigue, and the prevalence of CVD, headache, or rheumatic disease (
).Finally, in a comparison between childhood ALL survivors who had received HSCT and the siblings, the former had significantly impaired sleep quality (P=.009) and sleep quantity (P=.03) and were more likely to report severe depression (P=.01), chronic pain (P=.01), a higher number of pain sites (P=.007), worse work ability (P=.003), more physical fatigue (P<.001), reduced motivation (P<.001), and reduced activity (P<.001). The prevalence of diabetes was higher among ALL survivors who had received HSCT than among the siblings (P=.006), and the prevalence of CVD was also higher among ALL survivors who had received HSCT, but the difference was not statistically significant (P=.055) (
).Characteristic | Adult survivors of childhood ALLa (n=426), n (%) | Siblings (n=135), n (%) | P valueb | ||
Age group (years) | .08 | ||||
18-24 | 114 (26.8) | 24 (17.8) | |||
25-34 | 148 (34.7) | 57 (42.2) | |||
≥35 | 164 (38.5) | 54 (40.0) | |||
Sex | .008 | ||||
Male | 217 (51.0) | 51 (37.8) | |||
Female | 209 (49.0) | 84 (62.2) | |||
Marital status | .02 | ||||
Married/cohabiting | 231 (54.2) | 90 (66.7) | |||
Single | 159 (37.3) | 31 (23.0) | |||
In a relationship | 34 (8.0) | 13 (9.6) | |||
Other | 2 (0.5) | 1 (0.7) | |||
Children | .02 | ||||
Yes | 167 (39.2) | 68 (50.4) | |||
No | 259 (60.8) | 67 (49.6) | |||
Occupational status | .16 | ||||
Studying | 76 (17.8) | 22 (16.3) | |||
Working | 276 (64.8) | 97 (71.8) | |||
Unemployed | 19 (4.5) | 2 (1.5) | |||
On parental leave | 14 (3.2) | 8 (6.0) | |||
On sick leave | 22 (5.2) | 3 (2.2) | |||
Voluntarily not working | 2 (0.5) | 1 (0.7) | |||
Other | 17 (4.0) | 2 (1.5) | |||
Monthly incomec | <.001 | ||||
<10,000 | 72 (16.9) | 12 (8.9) | |||
10,000-19,999 | 73 (17.1) | 25 (18.5) | |||
20,000-29,999 | 110 (25.8) | 19 (14.1) | |||
30,000-39,999 | 102 (24.0) | 44 (32.6) | |||
40,000-49,999 | 47 (11.0) | 18 (13.3) | |||
50,000-59,999 | 14 (3.3) | 7 (5.2) | |||
≥60,000 | 8 (1.9) | 10 (7.4) |
aALL: acute lymphoblastic leukemia.
bDifference in distribution between the groups by the chi-square test.
cIncome is presented in Swedish krona (SEK); 10,000 SEK is equivalent to approximately 925 USD.
Characteristic | Adult survivors of childhood ALLa | Siblings | P valueb | ||
BMI, n/N (%) | .33c | ||||
≤18 | 17/415 (4.1) | 6/133 (4.5) | |||
19-24 | 212/415 (51.1) | 73/133 (54.9) | |||
25-29 | 130/415 (31.3) | 44/133 (33.1) | |||
≥30 | 56/415 (13.5) | 10/133 (7.5) | |||
Sleep quality, n/N (%) | .009c | ||||
Good | 171/425 (40.3) | 66/135 (48.9) | |||
Sufficient | 160/425 (37.6) | 55/135 (40.7) | |||
Poor | 94/425 (22.1) | 14/135 (10.4) | |||
Sleep quantity, n/N (%) | .046c | ||||
<5 hours | 23/425 (5.4) | 6/135 (4.4) | |||
5-7 hours | 185/425 (43.5) | 50/135 (37.0) | |||
7-9 hours | 203/425 (47.8) | 79/135 (58.6) | |||
>9 hours | 14/425 (3.3) | 0/135 (0.0) | |||
Stress, n/N (%) | .49c | ||||
Normal | 301/396 (76.0) | 99/124 (79.9) | |||
Mild/moderate | 68/396 (17.2) | 20/124 (16.1) | |||
Severe/very severe | 27/396 (6.8) | 5/124 (4.0) | |||
Anxiety, n/N (%) | .42c | ||||
Normal | 295/407 (72.5) | 98/125 (78.4) | |||
Mild/moderate | 64/407 (15.7) | 15/125 (12.0) | |||
Severe/very severe | 48/407 (11.8) | 12/125 (9.6) | |||
Depression, n/N (%) | .13c | ||||
Normal | 265/408 (65.0) | 92/125 (73.6) | |||
Mild/moderate | 100/408 (24.5) | 26/125 (20.8) | |||
Severe/very severe | 43/408 (10.5) | 7/125 (5.6) | |||
Chronic pain, n/N (%) | .32c | ||||
NCPd | 280/407 (68.8) | 93/125 (74.4) | |||
CRPe | 97/407 (23.8) | 27/125 (21.6) | |||
CWPf | 30/407 (7.4) | 5/125 (4.0) | |||
Number of pain sites (N=407 for survivors; N=125 for siblings), mean (SD) | 1.43 (2.81) | 0.97 (2.47) | .08g | ||
Work abilityh (N=424 for survivors; N=135 for siblings), mean (SD) | 8.17 (2.46) | 8.66 (1.86) | .01g | ||
General fatiguei (N=407 for survivors; N=125 for siblings), mean (SD) | 11.17 (2.13) | 11.49 (4.12) | .41g | ||
Physical fatiguei (N=406 for survivors; N=125 for siblings), mean (SD) | 12.09 (2.12) | 9.46 (4.42) | <.001g | ||
Reduced motivationi (N=407 for survivors; N=125 for siblings), mean (SD) | 12.07 (2.12) | 8.25 (3.30) | <.001g | ||
Reduced activityi (N=407 for survivors; N=125 for siblings), mean (SD) | 12.85 (2.45) | 9.95 (3.92) | <.001g | ||
Mental fatiguei (N=407 for survivors; N=125 for siblings), mean (SD) | 10.46 (2.23) | 10.57 (3.43) | .75g | ||
Diabetes (yes), n/N (%) | 10/406 (2.5) | 1/125 (0.8) | .25g | ||
CVDj (yes), n/N (%) | 31/407 (7.6) | 4/125 (3.2) | .08g | ||
Headache/migraine (yes), n/N (%) | 185/407 (45.5) | 61/125 (48.8) | .51g | ||
Rheumatic disease (yes), n/N (%) | 17/405 (4.2) | 1/125 (0.8) | .07g |
aALL: acute lymphoblastic leukemia.
bGroup differences by the t-test or chi-square test as appropriate.
cChi-square test.
dNCP: no chronic pain.
eCRP: chronic regional pain.
fCWP: chronic widespread pain.
gt-test.
hFrom the Work Ability Index (score 0-10).
iFrom the Multidimensional Fatigue Inventory (score 4-20).
jCVD: cardiovascular disease.
Characteristic | Survivors of childhood ALLa who had not received HSCTb | Survivors of childhood ALL who had received HSCT | P valuec | |||||
Age (N=303 for no HSCT; N=33 for HSCT), mean (SD) | 30.5 (7.6) | 31.9 (6.4) | .31 | |||||
BMI, n/N (%) | .52d | |||||||
≤18 | 11/295 (3.7) | 1/31 (3.2) | ||||||
19-24 | 147/295 (49.9) | 19/31 (61.3) | ||||||
25-29 | 93/295 (31.5) | 9/31 (29.0) | ||||||
≥30 | 44/295 (14.9) | 2/31 (6.5) | ||||||
Sleep quality, n/N (%) | .34 | |||||||
Good | 125/302 (41.4) | 10/33 (30.3) | ||||||
Sufficient | 114/302 (37.7) | 13/33 (39.4) | ||||||
Poor | 63/302 (20.9) | 10/33 (30.3) | ||||||
Sleep quantity, n/N (%) | .42d | |||||||
<5 hours | 16/302 (5.3) | 3/33 (9.1) | ||||||
5-7 hours | 128/302 (42.4) | 14/33 (42.4) | ||||||
7-9 hours | 149/302 (49.3) | 14/33 (42.4) | ||||||
>9 hours | 9/302 (3.0) | 2/33 (6.1) | ||||||
Stress, n/N (%) | .70 d | |||||||
Normal | 217/283 (76.7) | 22/30 (73.3) | ||||||
Mild/moderate | 46/283 (16.2) | 5/30 (16.7) | ||||||
Severe/very severe | 20/283 (7.1) | 3/30 (10.0) | ||||||
Anxiety, n/N (%) | .61d | |||||||
Normal | 210/292 (71.9) | 22/32 (68.7) | ||||||
Mild/moderate | 45/292 (15.4) | 4/32 (12.5) | ||||||
Severe/very severe | 37/292 (12.7) | 6/32 (18.8) | ||||||
Depression, n/N (%) | .18 | |||||||
Normal | 189/292 (64.7) | 18/32 (56.2) | ||||||
Mild/moderate | 72/292 (24.7) | 7/32 (21.9) | ||||||
Severe/very severe | 31/292 (10.6) | 7/32 (21.9) | ||||||
Chronic pain, n/N (%) | .051 | |||||||
NCPe | 199/291 (68.4) | 16/32 (50.0) | ||||||
CRPf | 74/291 (25.4) | 11/32 (34.4) | ||||||
CWPg | 18/291 (6.2) | 5/32 (15.6) | ||||||
Number of pain sites (N=291 for no HSCT; N=32 for HSCT), mean (SD) | 1.32 (2.57) | 3.12 (4.09) | .02 | |||||
Work abilityh (N=301 for no HSCT; N=33 for HSCT), mean (SD) | 8.31 (2.27) | 6.73 (3.42) | .01 | |||||
General fatiguei (N=291 for no HSCT; N=32 for HSCT), mean (SD) | 11.14 (2.10) | 11.09 (2.35) | .91 | |||||
Physical fatiguei (N=290 for no HSCT; N=32 for HSCT), mean (SD) | 12.02 (2.09) | 12.22 (2.27) | .61 | |||||
Reduced motivationi (N=291 for no HSCT; N=32 for HSCT), mean (SD) | 12.07 (2.72) | 12.22 (2.27) | .78 | |||||
Reduced activityi (N=291 for no HSCT; N=32 for HSCT), mean (SD) | 12.86 (2.42) | 13.16 (2.38) | .51 | |||||
Mental fatiguei (N=291 for no HSCT; N=32 for HSCT), mean (SD) | 10.40 (2.11) | 10.19 (2.58) | .61 | |||||
Diabetes (yes), n/N (%) | 5/291 (1.7) | 4/32 (12.5) | .007d | |||||
CVDj (yes), n/N (%) | 19/291 (6.5) | 4/32 (12.5) | .27d | |||||
Headache/migraine (yes), n/N (%) | 132/291 (45.4) | 15/32 (46.9) | .87 | |||||
Rheumatic disease (yes), n/N (%) | 12/290 (4.1) | 2/32 (6.3) | .64d |
aALL: acute lymphoblastic leukemia.
bHSCT: hematopoietic stem cell transplantation.
cGroup differences by the t-test or chi-square test as appropriate.
dFisher exact test.
eNCP: no chronic pain.
fCRP: chronic regional pain.
gCWP: chronic widespread pain.
hFrom the Work Ability Index (score 0-10).
iFrom the Multidimensional Fatigue Inventory (score 4-20).
jCVD: cardiovascular disease.
Characteristic | Survivors of childhood ALLa who had received HSCTb | Siblings | P valuec | |||||
BMI, n/N (%) | .96d | |||||||
≤18 | 1/31 (3.2) | 6/133 (4.5) | ||||||
19-24 | 19/31 (61.3) | 73/133 (54.9) | ||||||
25-29 | 9/31 (29.0) | 44/133 (33.1) | ||||||
≥30 | 2/31 (6.5) | 10/133 (7.5) | ||||||
Sleep quality, n/N (%) | .009 | |||||||
Good | 10/33 (30.3) | 66/135 (48.9) | ||||||
Sufficient | 13/33 (39.4) | 55/135 (40.7) | ||||||
Poor | 10/33 (30.3) | 14/135 (10.4) | ||||||
Sleep quantity, n/N (%) | .03d | |||||||
<5 hours | 3/33 (9.1) | 6/135 (4.4) | ||||||
5-7 hours | 14/33 (42.4) | 50/135 (37.1) | ||||||
7-9 hours | 14/33 (42.4) | 79/135 (58.5) | ||||||
>9 hours | 2/33 (6.1) | 0/135 (0.0) | ||||||
Stress, n/N (%) | .36d | |||||||
Normal | 22/30 (73.3) | 99/124 (79.9) | ||||||
Mild/moderate | 5/30 (16.7) | 20/124 (16.1) | ||||||
Severe/very severe | 3/30 (10.0) | 5/124 (4.0) | ||||||
Anxiety, n/N (%) | .32d | |||||||
Normal | 22/32 (68.8) | 98/125 (78.4) | ||||||
Mild/moderate | 4/32 (12.5) | 15/125 (12.0) | ||||||
Severe/very severe | 6/32 (18.8) | 12/125 (9.6) | ||||||
Depression, n/N (%) | .01 | |||||||
Normal | 18/32 (56.2) | 92/125 (73.6) | ||||||
Mild/moderate | 7/32 (21.9) | 26/125 (20.8) | ||||||
Severe/very severe | 7/32 (21.9) | 7/125 (5.6) | ||||||
Chronic pain, n/N (%) | .01 | |||||||
NCPe | 16/32 (50.0) | 93/125 (74.4) | ||||||
CRPf | 11/32 (34.4) | 27/125 (21.6) | ||||||
CWPg | 5/32 (16.6) | 5/125 (4.0) | ||||||
Number of pain sites (N=32 for survivors who received HSCT; N=125 for siblings), mean (SD) | 3.12 (4.09) | 0.97 (2.47) | .007 | |||||
Work abilityh (N=33 for survivors who received HSCT; N=135 for siblings), mean (SD) | 6.73 (3.42) | 8.66 (1.86) | .003 | |||||
General fatiguei (N=32 for survivors who received HSCT; N=125 for siblings), mean (SD) | 11.09 (2.35) | 11.49 (4.12) | .48 | |||||
Physical fatiguei (N=32 for survivors who received HSCT; N=125 for siblings), mean (SD) | 12.22 (2.27) | 9.46 (4.42) | <.001 | |||||
Reduced motivationi (N=32 for survivors who received HSCT; N=125 for siblings), mean (SD) | 12.22 (2.27) | 8.25 (3.30) | <.001 | |||||
Reduced activityi (N=32 for survivors who received HSCT; N=125 for siblings), mean (SD) | 13.16 (2.38) | 9.95 (3.92) | <.001 | |||||
Mental fatiguei (N=32 for survivors who received HSCT; N=125 for siblings), mean (SD) | 10.19 (2.58) | 10.57 (3.43) | .25 | |||||
Diabetes (yes), n/N (%) | 4/32 (12.5) | 1/125 (0.8) | .006d | |||||
CVDj (yes), n/N (%) | 4/32 (12.5) | 4/125 (3.2) | .055d | |||||
Headache/migraine (yes), n/N (%) | 15/32 (46.9) | 61/125 (48.8) | .85 | |||||
Rheumatic disease (yes), n/N (%) | 2/32 (6.3) | 1/125 (0.8) | .11d |
aALL: acute lymphoblastic leukemia.
bHSCT: hematopoietic stem cell transplantation.
cGroup differences by the t-test or chi-square test as appropriate.
dFisher exact test.
eNCP: no chronic pain.
fCRP: chronic regional pain.
gCWP: chronic widespread pain.
hFrom the Work Ability Index (score 0-10).
iFrom the Multidimensional Fatigue Inventory (score 4-20).
jCVD: cardiovascular disease.
Discussion
Principal Findings
This study delves into the self-rated outcomes pertaining to physical health, psychosocial well-being, and socioeconomic factors in adult survivors of childhood ALL. Our primary goal was to illuminate the disparities between these survivors and a control group composed of their siblings, revealing marked differences across all 3 domains. Particularly striking were the distinctions in vitality, with adult survivors of childhood ALL experiencing a higher prevalence of sleep disturbances, diminished work ability, and increased physical fatigue compared to their siblings. Furthermore, the adult ALL survivors who underwent HSCT exhibited even greater occurrences of both physical and psychological complications. This study identifies potential focal points for preventive interventions and emphasizes that these interventions should not solely address specific chronic health conditions relevant to this target group or general issues related to the risk of diminished HRQoL among childhood ALL survivors. On the contrary, interventions should take a broader approach by focusing on enhancing everyday functionality, particularly in terms of helping individuals manage the difficulties associated with vitality, sleep disturbances, work ability, and physical fatigue. By doing so, we can significantly enhance their well-being, bolster their capacity to cope with chronic conditions, and hopefully reduce the likelihood of more severe health complications later in life.
Health Outcomes of Adult Survivors of Childhood ALL
Adult survivors of childhood ALL reported poor sleep twice as frequently as their siblings, with both shorter and longer sleep durations being more common among ALL survivors. Notably, the group that had received HSCT showed no difference in sleep when compared to other ALL survivors, but they were 3 times more likely to report poor sleep and more likely to report both shorter and longer sleep durations when compared to their siblings. It is important to recognize that poor sleep, defined as less than 6 hours of sleep per night, is linked to increased mortality and adverse health outcomes, including CVD, diabetes, and obesity [
, ].Prior studies have reported conflicting findings regarding fatigue in childhood cancer survivors and childhood ALL survivors [
- ]. Our study revealed that survivors of childhood ALL reported higher physical fatigue than their siblings but exhibited similar levels of general and mental fatigue. This elevated physical fatigue among adult survivors of childhood ALL may suggest physical effects resulting from treatment-related factors [ , ]. Our study revealed reduced sleep quantity among ALL survivors, which has previously been associated with impaired neurocognitive function when accompanied by daytime sleepiness [ ]. Moreover, although we found no difference in mental fatigue, motivation was lower among adult survivors of childhood ALL, potentially indicating mental fatigue. Neurotoxic treatments used for ALL have been previously linked to neurocognitive deficits [ , , ], which could indirectly affect motivation and work ability. Moreover, frailty, which has been shown to be associated with neurocognitive decline in adult childhood cancer survivors [ ], may manifest as physical fatigue, influencing both motivation and work ability. Further research is necessary to investigate the potential associations between late physical and neurocognitive issues and lifestyle habits in this patient group.While there was no significant difference in reported anxiety or depression overall, those who had received HSCT had a higher incidence of depression compared to their siblings. Additionally, stress levels did not differ between survivors and their siblings. Earlier studies involving adult childhood cancer survivors have yielded mixed results regarding depression and distress compared to the general population [
- ], and increased incidences of depression and anxiety have been reported in childhood ALL survivors during childhood and adolescence [ ]. However, the results for adult survivors of childhood ALL are inconsistent [ , ].In our study, adult survivors of childhood ALL did not significantly differ from their siblings in terms of chronic pain prevalence. However, there was a tendency toward a higher prevalence of rheumatic diseases among adult survivors of childhood ALL compared to their siblings and the general population. This aligns with previous findings of a higher incidence of autoimmune diseases in survivors of childhood ALL [
]. In the group that had received HSCT, there was a tendency toward increased pain and a significantly higher number of pain sites compared to those who had not received HSCT. The reported CWP was up to 4 times as common among adult survivors of childhood ALL who had received HSCT than among their siblings. In general population studies, the prevalence of CWP in adults was approximately 10%, increasing with age [ , , ]. Given the relatively low mean age in our study, the expected prevalence of CWP should be lower than 10% but was as high as 16% among those who had received HSCT. Although ALL treatment, which always includes vinca alkaloids, can lead to chronic neuropathies and high doses of corticosteroids can induce osteonecrosis [ ], these conditions are not typically associated with CWP. Our results are consistent with the findings of prior studies involving adult survivors of childhood cancer, where pain was reported to be relatively low but more frequently linked to chronic health conditions and previous radiation exposure, which could account for our findings among those treated with HSCT [ , ]. Additionally, graft-versus-host disease in HSCT survivors can lead to musculoskeletal deficits [ ]. Furthermore, our study identified a significantly higher incidence of diabetes in adult survivors of childhood ALL treated with HSCT, which was consistent with the findings of previous research showing an increased incidence of diabetes in childhood ALL survivors, particularly when treatment exposes the pancreas to radiation, as is the case for survivors of childhood ALL treated with HSCT [ , ].Health Services Targeting Adult Survivors of Childhood ALL
Our study targeted a specific diagnosis group of long-term survivors of ALL. Since ALL is the most common childhood malignancy with a high survival rate, this is the largest group of childhood cancer survivors. The focus on ALL survivors alone allows for the presentation of data with a high level of specificity. This granularity is crucial for understanding the unique long-term effects and health care needs of this survivor group. Unlike many long-term follow-up studies that rely solely on clinical objective data, our research is based on self-reported data from survivors. This approach provides valuable insights into the personal experiences, perceptions, and self-assessed health outcomes of survivors, complementing the clinical data typically used in long-term follow-up studies. Our study features an extended follow-up period and investigates survivorship into adulthood. While much of the existing literature focuses on shorter-term follow-up, our long-term perspective is critical for understanding the enduring effects of ALL and its treatment, providing a comprehensive view of survivorship well beyond the immediate posttreatment years. Self-reported health outcomes could, together with risks due to prior cancer treatment, be used as predictors for the risk of chronic health conditions. As the number of adult survivors of childhood cancer is on the rise, there is an increase in the demand for improvement of the efficacy of follow-up centers. These characteristics allow us to use the health outcomes identified in this study to inform the development of follow-up services specifically tailored to the needs of long-term survivors of ALL. In doing so, we aim to contribute to the design of proactive need-based health care services that align with the preferences of long-term survivors, leveraging the advancements in long-term follow-up services developed in Sweden in recent years.
Our findings underscore the potential of long-term follow-up services that extend beyond targeting specific health conditions to encompass the broader spectrum of vitality, sleep quality, fatigue, and psychosocial well-being. Such comprehensive approaches could not only enhance well-being but also bolster the capacity of survivors to cope with chronic health conditions and reduce the likelihood of more severe health complications in the future. While many adult survivors of childhood ALL may not exhibit signs of chronic health conditions in their young adult years and regular clinic visits could potentially be more burdensome than beneficial, a tailored health screening approach introduced in a feasible digital format could serve as an excellent alternative. Such screening could effectively identify survivors who require in-person visits to the long-term follow-up clinic or offer health-promoting guidance to prevent the onset of chronic health conditions. Importantly, the value of digital interventions targeting prevention and promotion in relation to vitality, sleep quality, fatigue, and psychosocial well-being goes beyond these specific health conditions. They can potentially contribute to a holistic strategy to enhance the overall well-being of survivors and strengthen their capacity to manage chronic health conditions effectively. Such efforts to reduce the likelihood of more severe health complications in the future are of paramount importance for this group.
Strengths and Limitations
Our study has several strengths, including its extended follow-up period, which distinguishes it from many other studies that have primarily concentrated on evaluating health outcomes in younger survivors [
]. This long-term focus provides valuable insights into the vulnerability of adult survivors of childhood ALL to negative health outcomes during adulthood. Additionally, comparisons with siblings who shared similar backgrounds, social environments, and childhood exposures enrich the depth of our findings [ ]. Furthermore, the use of validated questionnaires bolsters the reliability of our results.However, there are certain limitations inherent to our study that necessitate consideration. It is important to acknowledge that the psychosocial well-being of the siblings may have been directly or indirectly affected by the distress associated with the treatment and rehabilitation of the patients with ALL. Consequently, the use of siblings as a comparison group might potentially underestimate the impact on psychosocial problems when compared to the general population.
The response rate from adult survivors of childhood ALL was relatively low overall. Although nonresponders did not exhibit substantial differences from responders, it is crucial to recognize that a significant proportion of the population was missing from our analysis. Additionally, the smaller number of siblings compared to adult survivors of childhood ALL limits the extent to which we can compare these groups. Finally, our study was constrained by the limited treatment data available in the Swedish childhood leukemia registry, which precludes further in-depth analyses of the associations between ALL treatment and reported symptoms.
Conclusions
Our population-based cross-sectional study provides valuable insights into the self-reported health outcomes among adult survivors of childhood ALL. Our findings underscore the potential of long-term follow-up services to extend beyond targeting specific health conditions, encompassing vitality, sleep quality, fatigue, and psychosocial well-being. Such comprehensive approaches could enhance well-being, bolster the capacity of survivors to manage chronic conditions, and reduce the likelihood of severe health complications. For many survivors, tailored digital follow-up of health issues and everyday functioning could be an excellent alternative to physical visits to a clinic, effectively identifying those who need in-person care or providing preventive health guidance. Such a holistic approach could promote participation in long-term follow-up and could improve the overall well-being and long-term health outcomes of childhood ALL survivors through tailored offers of services and interventions.
Acknowledgments
The authors would like to thank the adult survivors of childhood acute lymphoblastic leukemia and their siblings who participated in the study for sharing their experiences and making the research possible.
Data Availability
The data that support the findings of this study are available upon reasonable request.
Conflicts of Interest
None declared.
Questionnaire to survivors of acute lymphoblastic leukemia.
PDF File (Adobe PDF File), 2404 KBQuestionnaire to siblings of survivors of acute lymphoblastic leukemia.
PDF File (Adobe PDF File), 2539 KBReferences
- Coebergh J, Reedijk A, de Vries E, Martos C, Jakab Z, Steliarova-Foucher E, et al. Leukaemia incidence and survival in children and adolescents in Europe during 1978-1997. Report from the Automated Childhood Cancer Information System project. Eur J Cancer. Sep 2006;42(13):2019-2036. [CrossRef] [Medline]
- Siegel DA, Henley SJ, Li J, Pollack LA, Van Dyne EA, White A. Rates and trends of pediatric acute lymphoblastic leukemia - United States, 2001-2014. MMWR Morb Mortal Wkly Rep. Sep 15, 2017;66(36):950-954. [FREE Full text] [CrossRef] [Medline]
- Hunger SP, Mullighan CG. Acute lymphoblastic leukemia in children. N Engl J Med. Oct 15, 2015;373(16):1541-1552. [CrossRef] [Medline]
- Malard F, Mohty M. Acute lymphoblastic leukaemia. The Lancet. Apr 2020;395(10230):1146-1162. [CrossRef]
- Toft N, Birgens H, Abrahamsson J, Griškevičius L, Hallböök H, Heyman M, et al. Results of NOPHO ALL2008 treatment for patients aged 1-45 years with acute lymphoblastic leukemia. Leukemia. Mar 18, 2018;32(3):606-615. [CrossRef] [Medline]
- Sasaki K, Jabbour E, Short NJ, Jain N, Ravandi F, Pui C, et al. Acute lymphoblastic leukemia: A population-based study of outcome in the United States based on the surveillance, epidemiology, and end results (SEER) database, 1980-2017. Am J Hematol. Jun 01, 2021;96(6):650-658. [FREE Full text] [CrossRef] [Medline]
- Bonaventure A, Harewood R, Stiller C, Gatta G, Clavel J, Stefan DC, et al. CONCORD Working Group. Worldwide comparison of survival from childhood leukaemia for 1995-2009, by subtype, age, and sex (CONCORD-2): a population-based study of individual data for 89 828 children from 198 registries in 53 countries. Lancet Haematol. May 2017;4(5):e202-e217. [FREE Full text] [CrossRef] [Medline]
- Krull KR, Li C, Phillips NS, Cheung YT, Brinkman TM, Wilson CL, et al. Growth hormone deficiency and neurocognitive function in adult survivors of childhood acute lymphoblastic leukemia. Cancer. May 15, 2019;125(10):1748-1755. [FREE Full text] [CrossRef] [Medline]
- Banerjee J, Pääkkö E, Harila M, Herva R, Tuominen J, Koivula A, et al. Radiation-induced meningiomas: a shadow in the success story of childhood leukemia. Neuro Oncol. Oct 2009;11(5):543-549. [FREE Full text] [CrossRef] [Medline]
- Krull KR, Brinkman TM, Li C, Armstrong GT, Ness KK, Srivastava DK, et al. Neurocognitive outcomes decades after treatment for childhood acute lymphoblastic leukemia: a report from the St Jude lifetime cohort study. JCO. Dec 10, 2013;31(35):4407-4415. [CrossRef]
- Willasch AM, Peters C, Sedláček P, Dalle J, Kitra-Roussou V, Yesilipek A, et al. EBMT Paediatric Diseases Working Party. Myeloablative conditioning for allo-HSCT in pediatric ALL: FTBI or chemotherapy?-A multicenter EBMT-PDWP study. Bone Marrow Transplant. Aug 17, 2020;55(8):1540-1551. [CrossRef] [Medline]
- Diesch-Furlanetto T, Gabriel M, Zajac-Spychala O, Cattoni A, Hoeben BAW, Balduzzi A. Late effects after haematopoietic stem cell transplantation in ALL, long-term follow-up and transition: a step into adult life. Front Pediatr. Nov 24, 2021;9:773895. [FREE Full text] [CrossRef] [Medline]
- Styczynski J, Debski R, Czyzewski K, Gagola K, Marquardt E, Roszkowski K, et al. Acute lymphoblastic leukemia in children: better transplant outcomes after total body irradiation-based conditioning. In Vivo. Oct 25, 2021;35(6):3315-3320. [FREE Full text] [CrossRef] [Medline]
- Mulrooney DA, Hyun G, Ness KK, Bhakta N, Pui C, Ehrhardt MJ, et al. The changing burden of long-term health outcomes in survivors of childhood acute lymphoblastic leukaemia: a retrospective analysis of the St Jude Lifetime Cohort Study. The Lancet Haematology. Jun 2019;6(6):e306-e316. [CrossRef]
- Sørensen GV, Albieri V, Holmqvist A, Erdmann F, Mogensen H, Talbäck M, et al. Long-term risk of hospitalization for somatic diseases among survivors of childhood acute lymphoblastic leukemia. JNCI Cancer Spectr. Mar 02, 2022;6(2):pkac029. [FREE Full text] [CrossRef] [Medline]
- Kane E, Kinsey S, Bonaventure A, Johnston T, Simpson J, Howell D, et al. Excess morbidity and mortality among survivors of childhood acute lymphoblastic leukaemia: 25 years of follow-up from the United Kingdom Childhood Cancer Study (UKCCS) population-based matched cohort. BMJ Open. Mar 07, 2022;12(3):e056216. [FREE Full text] [CrossRef] [Medline]
- Horan MR, Srivastava DK, Bhakta N, Ehrhardt MJ, Brinkman TM, Baker JN, et al. Determinants of health-related quality-of-life in adult survivors of childhood cancer: integrating personal and societal values through a health utility approach. EClinicalMedicine. Apr 2023;58:101921. [FREE Full text] [CrossRef] [Medline]
- Hong HC, Min A, Kim YM. A systematic review and pooled prevalence of symptoms among childhood and adolescent and young adult cancer survivors. J Clin Nurs. May 2023;32(9-10):1768-1794. [CrossRef] [Medline]
- Devine KA, Viola AS, Coups EJ, Wu YP. Digital health interventions for adolescent and young adult cancer survivors. JCO Clin Cancer Inform. Dec 2018;2:1-15. [FREE Full text] [CrossRef] [Medline]
- Nationellt vårdprogram långtidsuppföljning efter barncancer (National guidelines for long-term follow-up after childhood cancer). Kunskapsbanken. URL: https://kunskapsbanken.cancercentrum.se/diagnoser/langtidsuppfoljning-efter-barncancer/vardprogram/ [accessed 2024-07-20]
- Phelan R, Aremu TO, Karst J, Anderson L, Jordan A, Morin J, et al. Perspectives on virtual care for childhood cancer survivors in non-metropolitan areas during the COVID-19 pandemic. Curr Oncol. Sep 01, 2023;30(9):8111-8116. [CrossRef] [Medline]
- Kenney LB, Vrooman LM, Lind ED, Brace-O'Neill J, Mulder JE, Nekhlyudov L, et al. Virtual visits as long-term follow-up care for childhood cancer survivors: Patient and provider satisfaction during the COVID-19 pandemic. Pediatr Blood Cancer. Jun 2021;68(6):e28927. [FREE Full text] [CrossRef] [Medline]
- Svedberg P, Einberg E, Wärnestål P, Stigmar J, Castor A, Enskär K, et al. Support from healthcare services during transition to adulthood - Experiences of young adult survivors of pediatric cancer. Eur J Oncol Nurs. Apr 2016;21:105-112. [CrossRef] [Medline]
- Nilsson S, Segerstad YHA, Olsson M. Visualizing the invisible-the needs and wishes of childhood cancer survivors for digitally mediated emotional peer support. Curr Oncol. Feb 20, 2022;29(2):1269-1278. [FREE Full text] [CrossRef] [Medline]
- Årsrapport 2021 Svenska Barncancerregistret. Childhood Cancer Epidemiology Group. URL: https://cceg.ki.se/documents/arsrapport%20SBCR_aret_2021.pdf [accessed 2024-07-20]
- Aili K, Arvidsson S, Olsson M, Jarfelt M, Nygren J. Health-related quality of life in adults treated for paediatric acute lymphoblastic leukaemia: a cross-sectional and longitudinal cohort study. BMJ Open. Jan 07, 2022;12(1):e048325. [FREE Full text] [CrossRef] [Medline]
- Lovibond P, Lovibond S. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther. Mar 1995;33(3):335-343. [CrossRef] [Medline]
- Bergman S, Herrström P, Högström K, Petersson IF, Svensson B, Jacobsson LT. Chronic musculoskeletal pain, prevalence rates, and sociodemographic associations in a Swedish population study. J Rheumatol. Jun 2001;28(6):1369-1377. [Medline]
- Bergman S, Herrström P, Jacobsson L, Petersson I. Chronic widespread pain: a three year followup of pain distribution and risk factors. J Rheumatol. Apr 2002;29(4):818-825. [Medline]
- Wolfe F, Smythe HA, Yunus MB, Bennett RM, Bombardier C, Goldenberg DL, et al. The American College of Rheumatology 1990 criteria for the classification of fibromyalgia. report of the multicenter criteria committee. Arthritis Rheum. Feb 09, 1990;33(2):160-172. [CrossRef] [Medline]
- de Zwart BCH, Frings-Dresen M, van Duivenbooden JC. Test-retest reliability of the Work Ability Index questionnaire. Occup Med (Lond). Jun 2002;52(4):177-181. [CrossRef] [Medline]
- Lundin A, Leijon O, Vaez M, Hallgren M, Torgén M. Predictive validity of the Work Ability Index and its individual items in the general population. Scand J Public Health. Jun 07, 2017;45(4):350-356. [CrossRef] [Medline]
- Hagelin CL, Wengström Y, Runesdotter S, Fürst CJ. The psychometric properties of the Swedish Multidimensional Fatigue Inventory MFI-20 in four different populations. Acta Oncol. Jul 08, 2007;46(1):97-104. [CrossRef] [Medline]
- Smets E, Garssen B, Bonke B, De Haes J. The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res. Apr 1995;39(3):315-325. [CrossRef] [Medline]
- Charlson ME, Pompei P, Ales KL, MacKenzie C. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. Jan 1987;40(5):373-383. [CrossRef] [Medline]
- Itani O, Jike M, Watanabe N, Kaneita Y. Short sleep duration and health outcomes: a systematic review, meta-analysis, and meta-regression. Sleep Med. Apr 2017;32:246-256. [CrossRef] [Medline]
- Jike M, Itani O, Watanabe N, Buysse DJ, Kaneita Y. Long sleep duration and health outcomes: A systematic review, meta-analysis and meta-regression. Sleep Med Rev. Jun 2018;39:25-36. [FREE Full text] [CrossRef] [Medline]
- Christen S, Roser K, Mulder RL, Ilic A, Lie HC, Loonen JJ, et al. IGHG psychological late effects group. Recommendations for the surveillance of cancer-related fatigue in childhood, adolescent, and young adult cancer survivors: a report from the International Late Effects of Childhood Cancer Guideline Harmonization Group. J Cancer Surviv. Dec 25, 2020;14(6):923-938. [FREE Full text] [CrossRef] [Medline]
- Mulrooney D, Ness K, Neglia J, Whitton JA, Green DM, Zeltzer LK, et al. Fatigue and sleep disturbance in adult survivors of childhood cancer: a report from the childhood cancer survivor study (CCSS). Sleep. Feb 2008;31(2):271-281. [FREE Full text] [CrossRef] [Medline]
- Meeske KA, Siegel SE, Globe DR, Mack WJ, Bernstein L. Prevalence and correlates of fatigue in long-term survivors of childhood leukemia. J Clin Oncol. Aug 20, 2005;23(24):5501-5510. [CrossRef] [Medline]
- Hamre H, Zeller B, Kanellopoulos A, Kiserud CE, Aakhus S, Lund MB, et al. High prevalence of chronic fatigue in adult long-term survivors of acute lymphoblastic leukemia and lymphoma during childhood and adolescence. Journal of Adolescent and Young Adult Oncology. Mar 2013;2(1):2-9. [CrossRef]
- Kanellopoulos A, Hamre HM, Dahl AA, Fosså SD, Ruud E. Factors associated with poor quality of life in survivors of childhood acute lymphoblastic leukemia and lymphoma. Pediatr Blood Cancer. May 17, 2013;60(5):849-855. [CrossRef] [Medline]
- Cheung YT, Brinkman TM, Mulrooney DA, Mzayek Y, Liu W, Banerjee P, et al. Impact of sleep, fatigue, and systemic inflammation on neurocognitive and behavioral outcomes in long-term survivors of childhood acute lymphoblastic leukemia. Cancer. Sep 01, 2017;123(17):3410-3419. [FREE Full text] [CrossRef] [Medline]
- Tonning Olsson I, Lubas M, Li C, Mandrell BN, Banerjee P, Howell CR, et al. Insomnia and neurocognitive functioning in adult survivors of childhood cancer. JNCI Cancer Spectr. Jun 2020;4(3):pkaa008. [CrossRef] [Medline]
- Cheung YT, Krull KR. Neurocognitive outcomes in long-term survivors of childhood acute lymphoblastic leukemia treated on contemporary treatment protocols: A systematic review. Neurosci Biobehav Rev. Jun 2015;53:108-120. [FREE Full text] [CrossRef] [Medline]
- Iyer N, Balsamo L, Bracken M, Kadan-Lottick N. Chemotherapy-only treatment effects on long-term neurocognitive functioning in childhood ALL survivors: a review and meta-analysis. Blood. Jul 16, 2015;126(3):346-353. [FREE Full text] [CrossRef] [Medline]
- Williams AM, Krull KR, Howell CR, Banerjee P, Brinkman TM, Kaste SC, et al. Physiologic frailty and neurocognitive decline among young-adult childhood cancer survivors: a prospective study from the St Jude lifetime cohort. JCO. Nov 01, 2021;39(31):3485-3495. [CrossRef]
- Michel G, Rebholz CE, von der Weid NX, Bergstraesser E, Kuehni CE. Psychological distress in adult survivors of childhood cancer: The Swiss Childhood Cancer Survivor Study. JCO. Apr 01, 2010;28(10):1740-1748. [CrossRef]
- van der Geest IMM, van Dorp W, Hop W, Neggers SJCMM, de Vries ACH, Pieters R, et al. Emotional distress in 652 Dutch very long-term survivors of childhood cancer, using the hospital anxiety and depression scale (HADS). J Pediatr Hematol Oncol. Oct 2013;35(7):525-529. [CrossRef] [Medline]
- Burghardt J, Klein E, Brähler E, Ernst M, Schneider A, Eckerle S, et al. Prevalence of mental distress among adult survivors of childhood cancer in Germany-Compared to the general population. Cancer Med. Apr 06, 2019;8(4):1865-1874. [FREE Full text] [CrossRef] [Medline]
- Kunin-Batson AS, Lu X, Balsamo L, Graber K, Devidas M, Hunger SP, et al. Prevalence and predictors of anxiety and depression after completion of chemotherapy for childhood acute lymphoblastic leukemia: A prospective longitudinal study. Cancer. May 15, 2016;122(10):1608-1617. [FREE Full text] [CrossRef] [Medline]
- Anestin AS, Lippé S, Robaey P, Bertout L, Drouin S, Krajinovic M, Rondeau, et al. Psychological risk in long-term survivors of childhood acute lymphoblastic leukemia and its association with functional health status: A PETALE cohort study. Pediatr Blood Cancer. Nov 07, 2018;65(11):e27356. [CrossRef] [Medline]
- Harila M, Niinivirta T, Winqvist S, Harila-Saari A. Low depressive symptom and mental distress scores in adult long-term survivors of childhood acute lymphoblastic leukemia. J Pediatr Hematol Oncol. Apr 2011;33(3):194-198. [CrossRef] [Medline]
- Holmqvist AS, Olsen JH, Mellemkjaer L, Garwicz S, Hjorth L, Moëll C, et al. ALiCCS study group. Autoimmune diseases in Adult Life after Childhood Cancer in Scandinavia (ALiCCS). Ann Rheum Dis. Sep 10, 2016;75(9):1622-1629. [CrossRef] [Medline]
- Aili K, Campbell P, Michaleff ZA, Strauss VY, Jordan KP, Bremander A, et al. Long-term trajectories of chronic musculoskeletal pain: a 21-year prospective cohort latent class analysis. Pain. May 01, 2021;162(5):1511-1520. [FREE Full text] [CrossRef] [Medline]
- Andrews P, Steultjens M, Riskowski J. Chronic widespread pain prevalence in the general population: A systematic review. Eur J Pain. Jan 17, 2018;22(1):5-18. [CrossRef] [Medline]
- Tonning Olsson I, Alberts NM, Li C, Ehrhardt MJ, Mulrooney DA, Liu W, et al. Pain and functional outcomes in adult survivors of childhood cancer: A report from the St. Jude Lifetime Cohort study. Cancer. May 15, 2021;127(10):1679-1689. [FREE Full text] [CrossRef] [Medline]
- Karlson CW, Alberts NM, Liu W, Brinkman TM, Annett RD, Mulrooney DA, et al. Longitudinal pain and pain interference in long-term survivors of childhood cancer: A report from the Childhood Cancer Survivor Study. Cancer. Jun 15, 2020;126(12):2915-2923. [FREE Full text] [CrossRef] [Medline]
- Kindler J, Guo M, Baker J, McCormack S, Armenian SH, Zemel BS, et al. Persistent musculoskeletal deficits in pediatric, adolescent and young adult survivors of allogeneic hematopoietic stem-cell transplantation. J Bone Miner Res. Apr 2022;37(4):794-803. [FREE Full text] [CrossRef] [Medline]
- Holmqvist AS, Olsen JH, Andersen KK, de Fine Licht S, Hjorth L, Garwicz S, et al. ALiCCS study group. Adult life after childhood cancer in Scandinavia: diabetes mellitus following treatment for cancer in childhood. Eur J Cancer. Apr 2014;50(6):1169-1175. [CrossRef] [Medline]
- de Vathaire F, El-Fayech C, Ben Ayed FF, Haddy N, Guibout C, Winter D, et al. Radiation dose to the pancreas and risk of diabetes mellitus in childhood cancer survivors: a retrospective cohort study. Lancet Oncol. Oct 2012;13(10):1002-1010. [CrossRef] [Medline]
- Vetsch J, Wakefield CE, Robertson EG, Trahair TN, Mateos MK, Grootenhuis M, et al. Health-related quality of life of survivors of childhood acute lymphoblastic leukemia: a systematic review. Qual Life Res. Jun 25, 2018;27(6):1431-1443. [CrossRef] [Medline]
- Morales S, Salehabadi SM, Srivastava D, Gibson TM, Leisenring WM, Alderfer MA, et al. Health-related and cancer risk concerns among siblings of childhood cancer survivors: a report from the Childhood Cancer Survivor Study (CCSS). J Cancer Surviv. Jun 01, 2022;16(3):624-637. [FREE Full text] [CrossRef] [Medline]
Abbreviations
ALL: acute lymphoblastic leukemia |
CVD: cardiovascular disease |
CWP: chronic widespread pain |
HRQoL: health-related quality of life |
HSCT: hematopoietic stem cell transplantation |
Edited by A Mavragani; submitted 22.11.23; peer-reviewed by S Choi; comments to author 25.01.24; revised version received 29.05.24; accepted 04.07.24; published 12.08.24.
Copyright©Jens M Nygren, Katarina Aili, Susann Arvidsson, Maria Olsson, Marianne Jarfelt. Originally published in JMIR Formative Research (https://formative.jmir.org), 12.08.2024.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.