Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2026 May 6.
Published before final editing as: J Cancer Surviv. 2026 Mar 26:10.1007/s11764-026-02007-3. doi: 10.1007/s11764-026-02007-3

Association of neuropathy, sarcopenia and physical function in acute lymphoblastic leukemia survivors with chemotherapy alone

Martin Kaj Fridh i, Mengqi Xing c, Sedigheh Mirzaei c, David Mizrahi a, Hanne Bækgaard Larsen b, Stephanie B Dixon d,e, Nicholas S Phillips f, Kevin R Krull f, Hiroto Inaba e, Ching-Hon Pui e, Seth E Karol e, Angela Delaney g, Sue C Kaste h, Melissa M Hudson d,e, Kirsten K Ness d
PMCID: PMC13142173  NIHMSID: NIHMS2164174  PMID: 41886139

Abstract

Background

Despite excellent survival and elimination of cranial radiation, patients treated for acute lymphoblastic leukemia (ALL) in childhood remain at increased risk for chronic conditions, including peripheral neuropathy and sarcopenia. This study aimed to evaluate the association between peripheral neuropathy and sarcopenia in survivors of childhood ALL without prior cranial radiation exposure. Additionally, we explore the effects of neuropathy and sarcopenia on physical function and exercise behavior.

Methods

We included survivors of childhood ALL diagnosed between 1962 and 2012, aged ≥18 years without a history of cranial radiation from the St. Jude Lifetime Cohort Study (SJLIFE). Peripheral neuropathy was assessed using the Modified Total Neuropathy Score (mTNS). Sarcopenia was defined by low muscle mass (dual X-ray absorptiometry) and muscle weakness, with muscle strength assessed using hand grip and quadriceps strength tests. Physical function was evaluated with the Timed-Up-and-Go test and a 50-foot walk test. Physical activity was self-reported via the NHANES Physical Activity Questionnaire. Statistical analyses, including modified Poisson regression, were performed to examine associations.

Results

Among 537 survivors (median age: 28 years, range 18-52), 31.7% had peripheral neuropathy, 19.0% had reduced muscle strength, and 21.6% had reduced relative lean muscle mass. Neuropathy was significantly associated with impaired gait speed (RR: 1.31, 95% CI 1.01 to 1.7). Sarcopenia, particularly impaired muscle strength, was associated with impaired mobility (RR: 2.99, 95% CI 1.91 to 4.68), gait speed (RR: 1.45, 95% CI 1.06 to 1.97), and <150 min/week of moderate or vigorous physical activity (RR 1.43, 95% CI 1.04 to 1.95).

Conclusion

Peripheral neuropathy and sarcopenia significantly impact physical function in childhood ALL survivors, with impaired muscle strength emerging as a key determinant of mobility limitations. These findings emphasize the importance of targeted interventions, particularly strengthening exercise, to improve functional outcomes in this vulnerable population. Future research should focus on developing evidence-based rehabilitation strategies to enhance long-term survivorship care. Clinical impact Evaluation of muscle strength, lean mass, and gait performance may facilitate early identification of survivors at risk for functional decline and premature aging.

Keywords: Acute lymphoblastic leukemia, Survivors, Neuropathy, Sarcopenia, Physical function

INTRODUCTION

Advances in the medical treatment of childhood acute lymphoblastic leukemia (ALL), including the elimination of cranial radiation for central nervous system prophylaxis in nearly all children, have resulted in 5-year survival rates above 90% [1] and reductions in late mortality [2, 3]. Nevertheless, ALL treatment is not without consequences [4, 5]. Childhood ALL survivors treated more recently are at particular risk for musculoskeletal and neurosensory impairments [4–8]. Musculoskeletal impairments include reduced muscle strength [9–13] and low skeletal muscle mass [14–21], placing survivors at risk of developing sarcopenia, a musculoskeletal disorder characterized by loss of muscle mass and strength and typically associated with aging, early in their lives. In the general population, sarcopenia is associated with an increased risk of adverse outcomes such as falls and fractures, difficulty performing daily activities, and loss of independence [22–24]. It is further associated with low bone mineral density, cardiometabolic disease, and cognitive impairments, affecting quality of life and mortality [23, 25–28].

Chemotherapy-induced peripheral neuropathy (CIPN) is also a potentially long-lasting adverse effect of ALL treatment [29]. While neuropathy symptoms are rarely life-threatening, they are often severe enough to impact physical function, limiting mobility, and participation in daily activities, which can eventually impact the quality of life [30–33]. ALL survivors have documented peripheral electrophysiological impairments, including reduced amplitude of sural sensory nerve action potentials and reduced amplitude and prolonged latency of compound muscle action potentials [31, 34–37]. These data suggest suboptimal peripheral nerve function, reduced number of functioning axons, and loss of motor units. Abnormal feedback during movement and loss of motor units likely contribute to the skeletal muscle atrophy and weakness observed during and after ALL therapy [12, 13]. However, the contributions of persistent CIPN in the development of sarcopenia and associated muscle weakness in ALL survivors remains poorly understood. Therefore, we aimed to evaluate the association between peripheral neuropathy and sarcopenia in childhood ALL survivors without previous cranial radiation exposure. Additionally, we aimed to evaluate the effects of peripheral neuropathy and sarcopenia on physical function (mobility and gait speed) and exercise behavior (physical activity) in adult survivors of childhood ALL.

MATERIALS AND METHODS

Study Participants

Participants are members of the St. Jude Lifetime Cohort (SJLIFE) [38], a study that aims to facilitate the longitudinal evaluation of health outcomes among survivors of childhood cancer treated at St. Jude Children’s Research Hospital (SJCRH). Potentially eligible cancer survivors previously treated for childhood cancer are invited to return to campus, where they complete clinical evaluation, a core battery of laboratory testing, imaging, performance testing, and questionnaires. For this study, eligible participants were those diagnosed with ALL between 1962 and 2012, who survived ≥5 years from diagnosis, were ≥18 years old at assessment, and had no history of cranial radiation exposure. We excluded survivors diagnosed with hemiplegia, paralysis, or a congenital or acquired (e.g., amputation, closed head injury) condition associated with sensory or motor function and participants with missing outcome data. The Institutional Review Board approved the protocol and study documents. Participants provided written informed consent before completing study measures. All participants received per-day financial compensation to help offset any inconvenience from participation.

Measures

Neuropathy

We assessed signs and symptoms of neuropathy with the Modified Total Neuropathy score (mTNS). This test evaluates sensory and motor symptoms, assessing distal muscle strength, deep tendon reflexes, light touch sensation, and vibration threshold. Scores range from 0 (indicating no neuropathy) to 24 (severe neuropathy). This modified tool is validated in pediatric children [39] and adults with cancer [40] and in cancer survivors, and has utility to both detect presence [10, 41] and monitor progression of neuropathy [42]. While a score of 1 indicates the presence of neuropathy symptoms [39], we classified neuropathy as an (mTNS score ≥4), consistent with the approaches used in previous studies describing associations between neuropathy signs and symptoms and functional loss in pediatric and adult ALL survivors [13, 42].

Sarcopenia

Sarcopenia was defined as having low lean mass, muscle weakness, or both. Lean mass was measured with dual x-ray absorptiometry (QDR4500; Hologic, Bedford, MA) in the total-body scanning mode [43–46]. The scanner was calibrated weekly with known phantoms to minimize machine drift. Relative skeletal muscle mass was calculated by dividing whole body skeletal muscle mass by height squared. Participants with relative skeletal muscle mass ≤ 1.5 standard deviations below age-, sex-, and race-specific values from the National Health and Nutrition Examination Study (NHANES) were classified as having low lean muscle mass [47]. Appendicular lean mass was calculated by summing lean mass from the arms and legs. Muscular strength assessments included isometric sitting hand grip (kg) [48] and isokinetic quadriceps strength. Isokinetic quadriceps strength (Biodex System 4, Shirley, NY) was assessed bilaterally with the participant sitting with the hips flexed at 90-100° and the back and thigh supported and secured. Knee extension strength was evaluated as maximal peak torque per kilogram of body weight from five repetitions at 60 and 180°/s; endurance was evaluated as maximal peak torque per kilogram of body weight from the last five repetitions of a ten repetition set at 300°/s. Values were converted into age- and sex-specific z-scores for analysis [49]. Participants with any hand grip, knee extension strength, or knee extension endurance z-scores≤ 1.5 standard deviations below age-, sex-, and race-specific values were classified as having muscle weakness [50]. Muscle mass and strength ≤1.5 standard deviations below age-, sex-, and race-specific values are associated with mitochondrial copy number in this cohort [50].

Physical function

We used the Timed-Up-and-Go 3m (TUG3m) to characterize mobility. For the TUG3m test [51], participants were instructed to stand from a 46 cm height chair, walk 3 m, turn, walk back to the chair, and sit down as fast as possible. The TUG3m test was performed twice and the fastest speed was used for analysis.

We used the 50-foot walk test to assess walking speed. For the 50-foot walk test, participants were instructed to walk 25 feet, turn around and return to the starting line as fast as possible [52]. The 50-foot walk test was performed once, and gait speed calculated as meters per second. We classified individuals with >1.3 standard deviations (lowest 10th percentile of population norms) below age and sex specific population-means on either test as having poor mobility [53].

Physical activity

Physical activity was self-reported using the NHANES Physical Activity Questionnaire [54]. Self-reported moderate activity was assigned an intensity of 3.5 metabolic equivalents of task (walking for pleasure) and self reported vigorous activity an intensity of 6 metabolic equivalents of task (jogging). We assigned 1 min for each reported minute of moderate activity and 1.7 min for each minute of reported vigorous activity [55, 56]. We classified participants who met or exceeded the Centers for Disease Control and Prevention’s recommendation for physical activity (150 min per week) as physically active [55].

Host and treatment data

Diagnosis and treatment information was abstracted from medical records by trained abstractors and included diagnosis, age at primary malignancy diagnosis, age at assessment, chemotherapy exposures, and doses (Table 1). Sociodemographic data (age, sex and race/ethnicity), self-reported smoking status (pack years), and dietary intake according to the healthy eating index (HEI) [57] were collected via self-administered questionnaire. Body mass index (BMI) was calculated by dividing weight (measured via electronic scale) in kilograms by height (measured via stadiometer) in meters squared.

Table 1.

Demographic, diagnosis, and treatment characteristics for study participants vs. non-participants

Participants Non-participants
n = 537 n = 282
N (%) N (%)
Sex
Female 259 (48.2) 141 (50.0) 0.6303
Male 278 (51.8) 141 (50.0)
Race/Ethnicity
Non-Hispanic White 443 (82.5) 207 (73.4) 0.0043
Non-Hispanic Black 52 (9.7) 50 (17.7)
Hispanic 30 (5.6) 14 (5.0)
Asian 5 (0.9) 2 (0.7)
Other 7 (1.3) 9 (3.2)
Age at primary malignancy diagnosis, Median (Min–Max) 5.95 (0.41–18.60) 4.91 (0.29–18.73) 0.0125
0–4 226 (42.1) 146 (51.8) 0.0533
5–9 173 (32.2) 72 (25.5)
10–14 99 (18.4) 43 (15.2)
15 and above 39 (7.3) 21 (7.4)
Age at assessment, Median (Min–Max) 24 (18–54) 28 (18–52) 0.0002
18–29 410 (76.4) 157 (55.7) <0.0001
30–39 110 (20.5) 73 (25.9)
40–49 14 (2.6) 45 (16.0)
50 and above 3 (0.6) 7 (2.5)
Body Mass Index (BMI
Underweight (<18.5) 17 (3.17)
Normal (18.5–25) 208 (38.73)
Overweight [25–30) 148 (27.56)
Obese (≥ 30) 164 (30.54)
Chemotherapy agents received, within first 5 years
Glucocorticoids
Prednisone, n (%) 526 (98.0) 267 (94.7) 0.0112
Median (Min–Max), mg/m2 2240.00 (326.15–19,040.00) 1120.00 (420.00–25,414.40)
Dexamethasone, n (%) 297 (55.3) 190 (67.4) 0.0004
Median (Min–Max), mg/m2 10,805.40 (11.31–21,610.80) 10,805.40 (1180.67–21,770.88)
IT hydrocortisone, n (%) 474 (88.3) 253 (89.7) 0.4452
Median (Min–Max) 357.45 (17.19–1115.38) 400.00 (64.86–1128.31)
Antimetabolites
IV/PO methotrexate, n (%) 456 (84.9) 254 (90.1) 0.0391
Median (Min–Max), mg/m2 2922.09 (40.00–83,219.57) 3097.06 (39.13–25,387.30)
0–2922.09 mg/m2 226 (49.9) 108 (45.2) 0.2393
≥2922.09 mg/m2 227 (50.1) 131 (54.8)
IT methotrexate, n (%) 535 (99.6) 282 (100.0) 0.5479
Median (Min–Max), mg/m2 180.84 (17.19–700.51) 198.48 (32.43–564.16)
0–225 mg/m2 367 (69.2) 172 (64.7) 0.192
≥ 225 mg/m2 163 (30.8) 94 (35.3)
6-Mercaptopurine, n (%) 527 (98.1) 279 (98.9) 0.5589
Median (Min–Max), mg/m2 36,871.27 (4956.94–94,015.22) 19,601.64 (241.18–91,451.90)
IT cytarabine, n (%) 485 (90.3) 260 (92.2) 0.372
Median (Min–Max), mg/m2 550.82 (51.56–1673.08) 631.22 (44.12–1778.18)
Vincristine, n (%) 537 (100.0) 281 (99.6) 0.3443
Median (Min–Max), mg/m2 54.92 (1.00–119.57) 56.87 (2.94–109.74)
0–15 mg/m2 103 (19.4) 49 (18.4) 0.7062
15–39 mg/m2 54 (10.2) 32 (12.0)
≥39 mg/m2 374 (70.4) 184 (69.2)
Anthracyclines
Daunorubicin, n (%) 452 (84.2) 246 (87.2) 0.1954
Median (Min–Max),mg/m2 51.41 (12.84–503.40) 50.11 (24.53–511.93)
Doxorubicin, n (%) 159 (29.6) 154 (54.6) <0.0001
Median (Min–Max), mg/m2 147.95 (23.85–291.14) 69.37 (24.44–360.00)
Epipodophyllotoxins
Etoposide, n (%) 266 (49.5) 81 (28.7) <0.0001
Median (Min–Max), mg/m2 7928.00 (400.00–20,211.90) 9723.75 (268.29–19,468.18)
Teniposide, n (%) 124 (23.1) 46 (16.3) 0.031
Median (Min–Max), mg/m2 2684.75 (150.00–7876.92) 2850.00 (597.40–8021.05)
Asparaginase
L-asparaginase, n (%) 499 (92.9) 237 (84.0) <0.0001
Median (Min–Max), IU/m2 119,621.3 (5084.75–724,101.6) 121,844.0 (4000.00–641,911.9)
Erwinia, n (%) 81 (15.1) 41 (14.5) 0.8987
 Median (Min–Max), IU/m2 107,696.2 (9310.34–1,801,939) 183,368.3 (9850.75–2,468,419)
Anthracycline dose (doxorubicin equivalents), Median (Min–Max), 52.54 (23.36–975.34) 85.64 (16.33–526.22)
0–100 mg/m2 351 (75.6) 163 (68.2) 0.039
100–299 mg/m2 113 (24.3) 76 (32.8)
Glucocorticoid dose (prednisone equivalents), Median (Min–Max), 10,830.96 (326.15–22,730.80) 11,925.40 (1120.00–25,414.40)
0–8000 mg/m2 121 (23.6) 62 (24.8) 0.7126
≥ 8000 mg/m2 392 (76.4) 188 (75.2)
Methotrexate dose (IV/PO/IT), Median (Min–Max), 2762.51 (18.90–83,350.00) 3178.99 (36.73–25,637.39)
Peripheral neuropathy by mTNS
No, N(%) 367 (68.3)
Yes, N(%) 170 (31.7
Knee extension strength, mean (SD) 173.40 (57.03)
Not impaired 452 (84.2)
Impaired 85 (15.8)
Knee extension endurance, mean (SD) 77.41 (31.06)
Not impaired 455 (84.7)
Impaired 82 (15.3)
Hand grip strength, mean (SD) 38.14 (12.62)
Not impaired 505 (94.0)
Impaired 32 (6.0)
Timed Up and Go (TUG), mean (SD) 5.49 (1.28)
Not Impaired 456 (84.9)
Impaired 81 (15.1)
Gait speed, mean (SD) 9.58 (1.65)
Not impaired 370 (68.9)
Impaired 167 (31.1)
Sarcopenia Status
Normal 319 (59.4)
Reduced muscle strength only 102 (18.99)
Reduced muscle mass only 88 (16.39)
Reduced muscle strength and muscle mass 28 (5.21)
Physical activity
<150 min MVPA/week 197 (36.69)
≥150 min of MVPA/week) 340 (63.31)
Smoking (Pack-years)
0 385 (71.7)
0.1–19.9 143 (26.6)
20+ 2 (0.37)

Statistical analysis

Demographic and treatment characteristics were compared between the participants and non-participants using chi-square test, Fisher exact test, and Wilcoxon Rank-Sum Test, for whichever test was applicable. Descriptive statistics were used to characterize the study population for variables of interest, including individual health behaviors, physical performance limitations, neuropathy, and sarcopenia related outcomes. Modified Poisson regression was used to examine the association between treatment and peripheral neuropathy and lean muscle mass, muscle weakness, physical function limitations, and exercise behavior. The same method was applied to examine the association between peripheral neuropathy and lean muscle mass, physical function limitations and exercise behavior. Additionally, we examined the association between sarcopenia status and physical function (mobility and gait speed) and exercise behavior, using modified Poisson regression. All models were adjusted by sex, age at diagnosis, age at assessment, race and ethnicity, smoking, HEI score, and BMI. Analyses were completed in SAS version 9.4 (Cary, NC).

RESULTS

Participants

Among the 819 eligible ALL survivors, 537 (65.6%) were included in this analysis; 77 declined participation, and 205 had missing outcome data and were excluded (Fig. 1). Participants did not differ from nonparticipants by sex but were older at diagnosis, more likely to report their race/ethnicity as white, and were younger than non-participants at the time of participation. Participants had a median age of 24 years (range, 18-54 years) at assessment, and 5.95 years (range, 0.41-18.60 years) at diagnosis. Over half (58.1%) of participants had body mass index values in the overweight or obese categories. Among participants, 31.7% ( n = 170) had peripheral neuropathy, 19.0% ( n = 102) had reduced muscle strength, 21.6% ( n = 116) had reduced relative lean muscle mass, and 5.2% ( n = 28) had both reduced muscle strength and lean muscle mass (Table 1).

Figure 1.

Figure 1.

Flowchart of inclusion process

Association between treatment exposures and peripheral neuropathy

Supplementary Table 1 demonstrates that vincristine dose (RR: 1.01, 95% CI 1.00 to 1.02 per 1 mg/m2) was associated with peripheral neuropathy in this population.

Peripheral neuropathy and the association with sarcopenia, physical function, and physical activity

Table 2 summarizes the association between peripheral neuropathy and each of our investigated outcomes. Participants with peripheral neuropathy had a higher risk of impaired gait speed (RR: 1.31, 95% CI 1.01 to 1.70). Peripheral neuropathy was not associated with a higher risk of reduced relative lean muscle mass.

Table 2.

Associations between peripheral neuropathy and lean muscle mass, physical performance limitations and exercise behavior

Impaired knee extension strength Impaired knee extension endurance Impaired grip strength Impaired mobility Impaired gait speed <150 min MVPA per week Reduced muscle mass
Variable RR (95% CI) P RR (95% CI) P RR (95% CI) P RR (95% CI) P RR (95% CI) P RR (95% CI) P RR (95% CI) P
Sex
Male ref(1.0) ref(1.0) ref(1.0) ref(1.0) ref(1.0) ref(1.0) ref(1.0)
Female 0.64 (0.42, 0.97) 0.0343 1.05 (0.70, 1.57) 0.824 0.64 (0.32, 1.27) 0.1981 1.16 (0.78, 1.75) 0.4646 1.32 (1.02, 1.70) 0.033 1.60 (1.27, 2.02) 0.0001 0.86 (0.66, 1.14) 0.2976
Age at diagnosis 1.06 (1.01, 1.11) 0.0174 1.04 (0.99, 1.09) 0.0972 0.94 (0.86, 1.03) 0.1802 1.00 (0.95, 1.06) 0.9268 0.99 (0.96, 1.03) 0.6809 1.02 (100, 1.05) 0.1099 1.02 (0.98, 1.05) 0.3724
Age at assessment (continuous) 0.98 (0.95, 1.02) 0.3917 0.98 (0.94, 1.03) 0.3933 1.04 (0.97, 1.12) 0.2679 0.99 (0.95, 1.03) 0.5964 0.96 (0.93, 0.99) 0.0024 1.01 (0.99, 1.03) 0.5352 1.04 (1.01, 1.07) 0.0074
Race
Non-Hispanic White ref(1.0) ref(1.0) ref(1.0) ref(1.0) ref(1.0) ref(1.0) ref(1.0)
Non-Hispanic Black 1.11 (0.64, 1.93) 0.8639 1.07 (0.62, 1.86) 0.732 1.36 (0.41, 4.52) 0.0019 1.58 (0.95, 2.62) 0.1093 1.30 (0.92, 1.82) 0.3312 1.11 (0.80, 1.55) 0.6898 1.27 (0.73, 2.23) 0.026
Other 1.17 (0.59, 2.30) 0.69 (0.25, 1.89) 4.16 (1.89, 9.14) 1.65 (0.83, 3.27) 1.02 (0.62, 1.68) 0.87 (0.53, 1.44) 1.69 (1.15, 2.48)
neuropathy (mTNS >/= 4)
No ref(1.0) ref(1.0) ref(1.0) ref(1.0) ref(1.0) ref(1.0) ref(1.0)
Yes 0.97 (0.65, 1.45) 0.8879 0.90 (0.59, 1.37) 0.6218 1.54 (0.75, 3.16) 0.2429 1.16 (0.77, 1.76) 0.4783 1.31 (1.01, 1.70) 0.0406 0.99 (0.77, 1.27) 0.9353 0.91 (0.61, 1.35) 0.6318
Smoking (pack years) 1.05 (1.01, 1.10) 0.0133 1.03 (0.98, 1.08) 0.194 0.95 (0.83, 1.09) 0.4967 0.98 (0.91, 1.04) 0.4652 1.04 (1.01, 1.07) 0.0196 1.00 (0.97, 1.03) 0.84 0.97 (0.93, 1.01) 0.1752
Diet (continuous HEI score) 1.01 (0.99, 1.02) 0.5934 1.00 (0.98, 1.02) 0.893 0.98 (0.95, 1.02) 0.3989 0.99 (0.97, 1.01) 0.2903 1.00 (0.99, 1.01) 0.5523 0.98 (0.97, 0.99) 0.0001 0.98 (0.96, 0.99) 0.0018
BMI (continuous) 1.08 (1.06, 1.11) <0.0001 1.08 (1.06, 1.11) <0.0001 0.94 (0.88, 1.01) 0.0815 1.07 (1.04, 1.09) <0.0001 1.03 (1.01, 1.04) 0.0052 1.01 (0.99, 1.02) 0.4098 0.73 (0.70, 0.76) <0.0001

Sarcopenia

Table 3 summarizes the association between sarcopenia status and physical function and physical activity. Participants with impaired muscle strength had a significantly higher risk of impaired mobility (RR: 2.99, 95% CI 1.91 to 4.68) and impaired gait speed (RR: 1.45, 95% CI: 1.06 to 1.97) than those without impaired muscle strength or reduced muscle mass. Moreover, participants with both impaired muscle strength and reduced muscle mass, compared to neither, had the greatest risk of impaired mobility (RR: 3.69, 95% CI 1.75 to 7.77) and impaired gait speed (RR: 2.07, 95% CI 1.28 to 3.36). Sarcopenia status was associated with <150 min/week of moderate-to-vigorous physical activity (Table 3). Supplementary file 2 shows the number of survivors affected by one or more of the outcomes (i.e., neuropathy, muscle weakness, reduced muscle mass, and impaired mobility).

Table 3.

Associations between sarcopenia status, physical function and exercise behavior

Impaired mobility Impaired gait speed <150 min MVPA per week
Variable RR (95% CI) P RR (95% CI) P RR (95% CI) P
Sex
Male ref(1.0) ref(1.0) ref(1.0)
Female 1.31 (0.88, 1.93) 0.1846 1.35 (1.04, 1.74) 0.022 1.60 (1.27, 2.01) 0.0001
Age at diagnosis 0.99 (0.94, 1.04) 0.6489 0.99 (0.96, 1.02) 0.4386 1.01 (0.99, 1.04) 0.3187
Age at assessment (continuous) 0.99 (0.96, 1.03) 0.7676 0.96 (0.94, 0.99) 0.0031 1.01 (0.98, 1.03) 0.6374
Race
Non-Hispanic White ref(1.0) ref(1.0) ref(1.0)
Non-Hispanic Black 1.56 (0.97, 2.53) 0.1601 1.28 (0.91, 1.79) 0.3311 1.00 (0.73, 1.38) 0.6401
Other 1.37 (0.71, 2.64) 0.94 (0.57, 1.56) 0.80 (0.50, 1.28)
Sarcopenia status
No ref(1.0) ref(1.0) ref(1.0)
reduced muscle strength only 2.99 (1.91, 4.68) <0.0001 1.45 (1.06, 1.97) 0.0052 1.43 (1.04, 1.95) <0.0001
reduced mass only 0.59 (0.21, 1.70) 1.27 (0.83, 1.95) 2.25 (1.64, 3.09)
both 3.69 (1.75, 7.77) 2.07 (1.28, 3.36) 2.16 (1.36, 3.42)
Smoking (pack years) 0.97 (0.91, 1.03) 0.3502 1.04 (1.01, 1.07) 0.015 1.01 (0.98, 1.04) 0.6132
Diet (continuous HEI score) 0.99 (0.97, 1.00) 0.1312 1.00 (0.99, 1.01) 0.5352 0.98 (0.97, 0.99) 0.0012
BMI (continuous) 1.04 (1.01, 1.07) 0.0059 1.03 (1.01, 1.05) 0.006 1.03 (1.01, 1.05) 0.0109

DISCUSSION

This study demonstrated that peripheral neuropathy is not associated with sarcopenia in childhood ALL survivors without previous cranial radiation exposure. However, both peripheral neuropathy and sarcopenia are associated with impaired physical function (mobility and gait speed) and exercise behavior.

Although previous data indicate that childhood ALL survivors exhibit a reduced sural sensory nerve action potential amplitude along with prolonged latency of compound muscle action potentials, suggesting suboptimal peripheral nerve function and diminished number of active axons and motor units, we did not find an association between neuropathy and features of sarcopenia. Theoretically, abnormal movement feedback and the loss of motor units should contribute to skeletal muscle atrophy and muscle weakness [10, 13]. This theory was not supported by our data. We did observe a significant association between neuropathy and impaired gait speed, with affected participants demonstrating a 31% increased risk of gait impairment. This aligns with previous studies indicating that peripheral neuropathy contributes to functional limitations and decreased mobility in childhood cancer survivors [58]. Our data suggests that while peripheral neuropathy may directly affect neuromuscular control and mobility, its impact on muscle mass and strength may be less pronounced or mediated by other factors such as health behaviors (i.e., diet, physical activity, and smoking).

Almost one fifth of the survivors in this cohort exhibited markers of sarcopenia (i.e., low lean muscle mass, muscle weakness, or both). Furthermore, sarcopenia emerged as a strong predictor of poor physical function (mobility and gait speed). Participants with impaired muscle strength exhibited nearly three times the risk of impaired mobility and a 45% increased risk of impaired gait speed compared with those without strength impairments, and those with both impaired muscle strength and reduced muscle mass demonstrated even greater risks of mobility impairment and gait dysfunction. In the general population, sarcopenia becomes a significant issue around the age of 50, with an accelerated decline occurring after 60–70 years. Comparatively, this cohort of survivors was a mean of 28 years old at the time of assessment-suggesting premature aging [59]. Sarcopenia has been linked to increased risk for fall and fractures [22, 60], impaired mobility [61], and difficulty with activities of daily living [23, 62], and loss of independence [24]. Sarcopenia is further associated with cardiac disease [25], respiratory disease [63], and cognitive impairment [26], contributing to reduced quality of life [27] and premature death [28].

Given these health concerns and our results, early intervention strategies are critical for mitigating the impact of neuropathy and sarcopenia on overall health in survivors of childhood ALL [64, 65]. Several small studies indicate that peripheral neuropathy and sarcopenia are responsive to intervention in childhood cancer survivors [66–68]. Tanner et al. [69] reported that physical therapy during treatment improved bilateral coordination, running speed, and muscle strength compared with no physical therapy, approximately 20 months after treatment ended in 30 survivors of childhood ALL. Similarly, Krull et al. [70] showed that resistance training-regardless of protein supplementation-can improve muscle mass and strength in adult survivors of childhood cancer with low muscle mass [70]. These results suggest that exercise interventions can indeed counteract sarcopenia in childhood cancer survivors. Additional studies are needed to verify these promising results in survivors of childhood ALL.

Limitations

This study has several limitations. First, the cross-sectional design precludes causal inferences regarding the relationships between neuropathy, sarcopenia, health behaviors, and functional impairments. Longitudinal studies are needed to assess the progression of these conditions over time. Second, our reliance on self-reported physical activity levels may introduce reporting bias. Future research should incorporate objective measures of physical activity, such as accelerometry, to strengthen the validity of these findings. Finally, our sample predominantly comprised white participants, which may limit the generalizability of results to more diverse populations.

Clinical implications

These findings have important clinical implications for the long-term care of survivors of childhood ALL. Although peripheral neuropathy was not associated with sarcopenia, both conditions were independently linked to impaired mobility and gait speed, supporting the need for routine functional assessment in survivorship care. Evaluation of muscle strength, lean mass, and gait performance may facilitate early identification of survivors at risk for functional decline and premature aging. The observed prevalence of sarcopenia-related features in this young cohort highlights a window for early intervention. Given evidence that exercise-based strategies can improve neuromuscular function and muscle health in childhood cancer survivors, timely referral to physical therapy and resistance training programs may mitigate functional limitations, reduce future morbidity, and support long-term independence.

CONCLUSION

Neuropathy and sarcopenia significantly impact physical function in childhood ALL survivors, with impaired muscle strength emerging as a key determinant of mobility limitations. However, no association was observed between peripheral neuropathy and aspects of sarcopenia. These findings emphasize the importance of targeted interventions, including exercise, to improve functional outcomes in this vulnerable population and provide insights into the long-term toxicity of therapy which can inform future therapeutic ALL trial deintensification efforts. Future research should focus on developing evidence-based rehabilitation strategies to enhance long-term survivorship care.

Supplementary Material

Suppl1 41886139
Suppl 2

Clinical impact.

Evaluation of muscle strength, lean mass, and gait performance may facilitate early identification of survivors at risk for functional decline and premature aging.

Funding

Open access funding provided by National Hospital. Supported by a grant to St. Jude Children’s Research Hospital provided by the National Cancer Institute (Grant No. U01 CA195547, M.M.H., K.K.N.); Cancer Center Support Grant No. P30 CA21765; and the American Lebanese-Syrian Associated Charities (K.K.N.).

Footnotes

Ethics approval and consent to participate

The Institutional Review Board approved the protocol and study documents. Participants provided written informed consent before completing study measures. All participants received per-day financial compensation to help offset any inconvenience from participation.

Competing interests

The authors declare no competing interests.

Data Availability

Data used for these analyses are publicly available at Visualization Community, St. Jude Cloud. Specific data for these analyses are posted on Zenodo.com.

REFERENCES

  • 1.Siegel RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin. 2017;67(1):7–30. DOI: 10.3322/caac.21387 [DOI] [PubMed] [Google Scholar]
  • 2.Dixon SB, Chen Y, Yasui Y, et al. Reduced morbidity and mortality in survivors of childhood Acute Lymphoblastic leukemia: A report from the Childhood Cancer Survivor Study. J Clin Oncol. 2020;38(29):3418–29. DOI: 10.1200/JCO.20.00493 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Jeha S, Pei D, Choi J, et al. Improved CNS control of childhood Acute Lymphoblastic leukemia without cranial irradiation: St Jude Total Therapy Study 16. J Clin Oncol. 2019;37(35):3377–91. DOI: 10.1200/JCO.19.01692 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Mulrooney DA, Hyun G, Ness KK, 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. Lancet Haematol. 2019;6(6):e306–16. DOI: 10.1016/S2352-3026(19)30050-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Armstrong GT, Chen Y, Yasui Y, et al. Reduction in late mortality among 5-year survivors of childhood cancer. N Engl J Med. 2016;374(9):833–42. DOI: 10.1056/NEJMoa1510795 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Gawade P, Hudson M, Kaste S, et al. A systematic review of selected musculoskeletal late effects in survivors of childhood cancer. Curr Pediatr Rev. 2015;10(4):249–62. DOI: 10.2174/1573400510666141114223827 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Ness KK, Mertens AC, Hudson MM, et al. Limitations on physical performance and daily activities among long-term survivors of childhood cancer. Ann Intern Med. 2005;143(9):639–47. DOI: 10.7326/0003-4819-143-9-200511010-00007 [DOI] [PubMed] [Google Scholar]
  • 8.Gibson TM, Mostoufi-Moab S, Stratton KL, et al. Temporal patterns in the risk of chronic health conditions in survivors of childhood cancer diagnosed 1970-99: A report from the Childhood Cancer Survivor Study cohort. Lancet Oncol. 2018;19(12):1590–601. DOI: 10.1016/S1470-2045(18)30537-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Wilson CL, Howell CR, Partin RE, et al. Influence of fitness on health status among survivors of Acute Lymphoblastic leukemia. Pediatr Blood Cancer. 2018;65(11):e27286. DOI: 10.1002/pbc.27286 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Ness KK, Hudson MM, Pui CH, et al. Neuromuscular impairments in adult survivors of childhood Acute Lymphoblastic leukemia: Associations with physical performance and chemotherapy doses. Cancer. 2012;118(3):828–38. DOI: 10.1002/cncr.26337 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Hovi L, Era P, Rautonen J, Siimes MA. Impaired muscle strength in female adolescents and young adults surviving leukemia in childhood. Cancer. 1993;72(1):276–81. DOI: 10.1002/1097-0142(19930701)72:1<276::aid-cncr2820720148>3.0.co;2-2 [DOI] [PubMed] [Google Scholar]
  • 12.Ness KK, Kaste SC, Zhu L, et al. Skeletal, neuromuscular and fitness impairments among children with newly diagnosed Acute Lymphoblastic leukemia. Leuk Lymphoma. 2015;56(4):1004–11.DOI: 10.3109/10428194.2014.944519 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Ness KK, DeLany JP, Kaste SC, et al. Energy balance and fitness in adult survivors of childhood Acute Lymphoblastic leukemia. Blood. 2015;125(22):3411–9. DOI: 10.1182/blood-2015-01-621680 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Goodenough CG, Partin RE, Ness KK. Skeletal muscle and childhood cancer: Where are we now and where we go from here. Aging and Cancer. 2021;2(1–2):13–35. DOI: 10.1002/aac2.12027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Ness KK, Baker KS, Dengel DR, et al. Body composition, muscle strength deficits and mobility limitations in adult survivors of childhood Acute Lymphoblastic leukemia. Pediatr Blood Cancer. 2007;49(7):975–81. DOI: 10.1002/pbc.21091 [DOI] [PubMed] [Google Scholar]
  • 16.Ness KK, Krull KR, Jones KE, et al. Physiologic frailty as a sign of accelerated aging among adult survivors of childhood cancer: A report from the St. Jude Lifetime Cohort Study. J Clin Oncol. 2013;31(36):4496–503. DOI: 10.1200/JCO.2013.52.2268 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Tonorezos ES, Robien K, Eshelman-Kent D, et al. Contribution of diet and physical activity to metabolic parameters among survivors of childhood leukemia. Cancer Causes Control. 2013;24(2):313–21. DOI: 10.1007/s10552-012-0116-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Boland AM, Gibson TM, Lu L, et al. Dietary protein intake and lean muscle mass in survivors of childhood Acute Lymphoblastic leukemia: Report from the St. Jude Lifetime Cohort Study. Phys Ther. 2016;96(7):1029–38. DOI: 10.2522/ptj.20150507 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Talvensaari KK, Jamsen A, Vanharanta H, Lanning M. Decreased isokinetic trunk muscle strength and performance in long-term survivors of childhood malignancies: Correlation with hormonal defects. Arch Phys Med Rehabil. 1995;76(11):983–8. DOI: 10.1016/s0003-9993(95)81033-1 [DOI] [PubMed] [Google Scholar]
  • 20.Malhotra P, Kapoor G, Jain S, Jain S, Sharma A. Obesity and sarcopenia in survivors of childhood Acute Lymphoblastic leukemia. Indian Pediatr. 2021;58(5):436–40. DOI: 10.1007/s13312-021-2213-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Marriott CJC, Beaumont LF, Farncombe TH, et al. Body composition in long-term survivors of Acute Lymphoblastic leukemia diagnosed in childhood and adolescence: A focus on sarcopenic obesity. Cancer. 2018;124(6):1225–31. DOI: 10.1002/cncr.31191 [DOI] [PubMed] [Google Scholar]
  • 22.Clynes MA, Edwards MH, Buehring B, Dennison EM, Binkley N, Cooper C. Definitions of sarcopenia: Associations with previous falls and fracture in a population sample. Calcif Tissue Int. 2015;97(5):445–52. DOI: 10.1007/s00223-015-0044-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Malmstrom TK, Miller DK, Simonsick EM, Ferrucci L, Morley JE. SARC-F: A symptom score to predict persons with sarcopenia at risk for poor functional outcomes. J Cachexia Sarcopenia Muscle. 2016;7(1):28–36. DOI: 10.1002/jcsm.12048 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.dos Santos L, Cyrino ES, Antunes M, Santos DA, Sardinha LB. Sarcopenia and physical independence in older adults: The independent and synergic role of muscle mass and muscle function. J Cachexia Sarcopenia Muscle. 2017;8(2):245–50. DOI: 10.1002/jcsm.12160 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Liu L, Lee W, Chen L, et al. Sarcopenia, and its association with cardiometabolic and functional characteristics in Taiwan: Results from I-lan Longitudinal Aging Study. Geriatr Gerontol Int. 2014;14(S1):36–45. DOI: 10.1111/ggi.12208 [DOI] [PubMed] [Google Scholar]
  • 26.Chang KV, Hsu TH, Wu WT, Huang KC, Han DS. Association between sarcopenia and cognitive impairment: A systematic review and meta-analysis. J Am Med Dir Assoc. 2016;17(12):1164. DOI: 10.1016/j.jamda.2016.09.013 [DOI] [PubMed] [Google Scholar]
  • 27.Beaudart C, Biver E, Reginster J, et al. Validation of the Sar-QoLR, a specific health-related quality of life questionnaire for sarcopenia. J Cachexia Sarcopenia Muscle. 2017;8(2):238–44. DOI: 10.1002/jcsm.12149 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.De Buyser SL, Petrovic M, Taes YE, et al. Validation of the FNIH sarcopenia criteria and SOF frailty index as predictors of long-term mortality in ambulatory older men. Age Ageing. 2016;45(5):603–8. DOI: 10.1093/ageing/afw071 [DOI] [PubMed] [Google Scholar]
  • 29.Bjornard KL, Gilchrist LS, Inaba H, et al. Peripheral neuropathy in children and adolescents treated for cancer. Lancet Child Adolesc Health. 2018;2(10):744–54. DOI: 10.1016/S2352-4642(18)30236-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Mols F, Beijers T, Vreugdenhil G, van de Poll-Franse L. Chemotherapy-induced peripheral neuropathy and its association with quality of life: A systematic review. Support Care Cancer. 2014;22(8):2261–9. DOI: 10.1007/s00520-014-2255-7 [DOI] [PubMed] [Google Scholar]
  • 31.Kandula T, Farrar MA, Cohn RJ, et al. Chemotherapy-induced peripheral neuropathy in long-term survivors of childhood cancer. JAMA Neurol. 2018;75(8):980. DOI: 10.1001/jamaneurol.2018.0963 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Leone M, Viret P, Bui HT, Laverdiere C, Kalinova E, Comtois A. Assessment of gross motor skills and phenotype profile in children 9–11 years of age in survivors of Acute Lymphoblastic leukemia. Pediatr Blood Cancer. 2014;61(1):46–52. DOI: 10.1002/pbc.24731 [DOI] [PubMed] [Google Scholar]
  • 33.Wright MJ, Galea V, Barr RD. Proficiency of balance in children and youth who have had Acute Lymphoblastic leukemia. Phys Ther. 2005;85(8):782–90. [PubMed] [Google Scholar]
  • 34.Jain P, Gulati S, Seth R, Bakhshi S, Toteja GS, Pandey RM. Vincristine-induced neuropathy in childhood ALL (Acute Lymphoblastic leukemia) survivors. J Child Neurol. 2014;29(7):932–7. DOI: 10.1177/0883073813491829 [DOI] [PubMed] [Google Scholar]
  • 35.Ramchandren S, Leonard M, Mody RJ, et al. Peripheral neuropathy in survivors of childhood Acute Lymphoblastic leukemia. J Peripher Nerv Syst. 2009;14(3):184–9. DOI: 10.1111/j.1529-8027.2009.00230.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Lehtinen SS, Huuskonen UE, Harila-Saari AH, Tolonen U, Vainionpaa LK, Lanning BM. Motor nervous system impairment persists in long-term survivors of childhood Acute Lymphoblastic leukemia. Cancer. 2002;94(9):2466–73. DOI: 10.1002/cncr.10503 [DOI] [PubMed] [Google Scholar]
  • 37.Tay CG, Lee VWM, Ong LC, Goh KJ, Ariffin H, Fong CY. Vincristine-induced peripheral neuropathy in survivors of childhood Acute Lymphoblastic leukaemia. Pediatr Blood Cancer. 2017;64(8). DOI: 10.1002/pbc.26471 [DOI] [PubMed] [Google Scholar]
  • 38.Hudson MM, Ness KK, Nolan VG, et al. Prospective medical assessment of adults surviving childhood cancer: Study design, cohort characteristics, and feasibility of the St. Jude Lifetime Cohort Study. Pediatr Blood Cancer. 2011;56(5):825–36. DOI: 10.1002/pbc.22875 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Gilchrist LS, Tanner L. The pediatric-modified total neuropathy score: a reliable and valid measure of chemotherapy-induced peripheral neuropathy in children with non-CNS cancers. Support Care Cancer. 2013;21(3):847–56. DOI: 10.1007/s00520-012-1591-8 [DOI] [PubMed] [Google Scholar]
  • 40.Cavaletti G, Bogliun G, Marzorati L, et al. Grading of chemotherapy-induced peripheral neurotoxicity using the total neuropathy scale. Neurology. 2003;61(9):1297–300. DOI: 10.1212/01.wnl.0000092015.03923.19 [DOI] [PubMed] [Google Scholar]
  • 41.Dillon MP, Fatone S. Deliberations about the functional benefits and complications of partial foot amputation: Do we pay heed to the purported benefits at the expense of minimizing complications? Arch Phys Med Rehabil. 2013;94(8):1429–35. DOI: 10.1016/j.apmr.2013.03.023 [DOI] [PubMed] [Google Scholar]
  • 42.Cavaletti G, Frigeni B, Lanzani F, et al. The total neuropathy score as an assessment tool for grading the course of chemotherapy-induced peripheral neurotoxicity: Comparison with the National Cancer Institute-Common Toxicity Scale. J Peripher Nerv Syst. 2007;12(3):210–5. DOI: 10.1111/j.1529-8027.2007.00141.x [DOI] [PubMed] [Google Scholar]
  • 43.Jensen MD, Kanaley JA, Roust LR, et al. Assessment of body composition with use of dual-energy X-ray absorptiometry: Evaluation and comparison with other methods. Mayo Clin Proc. 1993;68(9):867–73. DOI: 10.1016/s0025-6196(12)60695-8 [DOI] [PubMed] [Google Scholar]
  • 44.Njeh CF, Fuerst T, Hans D, Blake GM, Genant HK. Radiation exposure in bone mineral density assessment. Appl Radiat Isot. 1999;50(1):215–36. DOI: 10.1016/s0969-8043(98)00026-8 [DOI] [PubMed] [Google Scholar]
  • 45.Njeh CF, Samat SB, Nightingale A, McNeil EA, Boivin CM. Radiation dose and in vitro precision in paediatric bone mineral density measurement using dual X-ray absorptiometry. Br J Radiol. 1997;70(835):719–27. DOI: 10.1259/bjr.70.835.9245884 [DOI] [PubMed] [Google Scholar]
  • 46.Kalender WA. Effective dose values in bone mineral measurements by photon absorptiometry and computed tomography. Osteoporos Int. 1992;2(2):82–7. DOI: 10.1007/BF01623841 [DOI] [PubMed] [Google Scholar]
  • 47.Kelly TL, Wilson KE, Heymsfield SB. Dual energy X-ray absorptiometry body composition reference values from NHANES. PLoS One. 2009;4(9):e7038. DOI: 10.1371/journal.pone.0007038 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Mathiowetz V, Wiemer DM, Federman SM. Grip and pinch strength: Norms for 6- to 19-year-olds. Am J Occup Ther. 1986;40(10):705–11. DOI: 10.5014/ajot.40.10.705 [DOI] [PubMed] [Google Scholar]
  • 49.Neder JA, Nery LE, Shinzato GT, Andrade MS, Peres C, Silva AC. Reference values for concentric knee isokinetic strength and power in nonathletic men and women from 20 to 80 years old. J Orthop Sports Phys Ther. 1999;29(2):116–26. DOI: 10.2519/jospt.1999.29.2.116 [DOI] [PubMed] [Google Scholar]
  • 50.Harbo T, Brincks J, Andersen H. Maximal isokinetic and isometric muscle strength of major muscle groups related to age, body mass, height, and sex in 178 healthy subjects. Eur J Appl Physiol. 2012;112(1):267–75. DOI: 10.1007/s00421-011-1975-3 [DOI] [PubMed] [Google Scholar]
  • 51.Podsiadlo D, Richardson S. The timed “Up & Go”: A test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991;39(2):142–8. DOI: 10.1111/j.1532-5415.1991.tb01616.x [DOI] [PubMed] [Google Scholar]
  • 52.Reuben DB, Siu AL. An objective measure of physical function of elderly outpatients. The Physical Performance Test. J Am Geriatr Soc. 1990;38(10):1105–12. DOI: 10.1111/j.1532-5415.1990.tb01373.x [DOI] [PubMed] [Google Scholar]
  • 53.Isles RC, Choy NLL, Steer M, Nitz JC. Normal values of balance tests in women aged 20-80. J Am Geriatr Soc. 2004;52(8):1367–72. DOI: 10.1111/j.1532-5415.2004.52370.x [DOI] [PubMed] [Google Scholar]
  • 54.National Health and Nutrition Examination Survey (NHANES), 2003-2004. ICPSR Data Holdings. April 7, 2010. DOI: 10.3886/ICPSR25503.v7 [DOI] [Google Scholar]
  • 55.Haskell WL, Lee IM, Pate RR, et al. Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc. 2007;39(8):1423–34. DOI: 10.1249/mss.0b013e3180616b27 [DOI] [PubMed] [Google Scholar]
  • 56.Herrmann SD, Willis EA, Ainsworth BE, et al. 2024 Adult Compendium of Physical Activities: A third update of the energy costs of human activities. J Sport Health Sci. 2024;13(1):6–12. DOI: 10.1016/j.jshs.2023.10.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Krebs-Smith SM, Pannucci TE, Subar AF, et al. Update of the Healthy Eating Index: HEI-2015. J Acad Nutr Diet. 2018;118(9):1591–602. DOI: 10.1016/j.jand.2018.05.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Varedi M, Lu L, Howell CR, et al. Peripheral neuropathy, sensory processing, and balance in survivors of Acute Lymphoblastic leukemia. J Clin Oncol. 2018;36(22):2315–22. DOI: 10.1200/JCO.2017.76.7871 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Ness KK, Kirkland JL, Gramatges MM, et al. Premature physiologic aging as a paradigm for understanding increased risk of adverse health across the lifespan of survivors of childhood cancer. J Clin Oncol. 2018;36(21):2206–15. DOI: 10.1200/JCO.2017.76.7467 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Bischoff-Ferrari HA, Orav JE, Kanis JA, et al. Comparative performance of current definitions of sarcopenia against the prospective incidence of falls among community-dwelling seniors age 65 and older. Osteoporos Int. 2015;26(12):2793–802. DOI: 10.1007/s00198-015-3194-y [DOI] [PubMed] [Google Scholar]
  • 61.Morley JE, Abbatecola AM, Argiles JM, et al. Sarcopenia with limited mobility: An international consensus. J Am Med Dir Assoc. 2011;12(6):403–9. DOI: 10.1016/j.jamda.2011.04.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Bahat G, Tufan A, Kilic C, Karan MA, Cruz-Jentoft AJ. Prevalence of sarcopenia and its components in community-dwelling outpatient older adults and their relation with functionality. Aging Male. 2020;23(5):424–30. DOI: 10.1080/13685538.2018.1511976 [DOI] [PubMed] [Google Scholar]
  • 63.Bone AE, Hepgul N, Kon S, Maddocks M. Sarcopenia and frailty in chronic respiratory disease. Chron Respir Dis. 2017;14(1):85–99. DOI: 10.1177/1479972316679664 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Morales JS, Valenzuela PL, Rincon-Castanedo C, et al. Exercise training in childhood cancer: A systematic review and meta-analysis of randomized controlled trials. Cancer Treat Rev. 2018;70:154–67. DOI: 10.1016/j.ctrv.2018.08.012 [DOI] [PubMed] [Google Scholar]
  • 65.Ness KK, Plana JC, Joshi VM, et al. Exercise intolerance, mortality, and organ system impairment in adult survivors of childhood cancer. J Clin Oncol. 2020;38(1):29–42. DOI: 10.1200/JCO.19.01661 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Elnaggar RK, Mahmoud WS, Abdrabo MS, Elfakharany MS. Effect of adaptive variable-resistance training on chemotherapy induced sarcopenia, fatigue, and functional restriction in pediatric survivors of Acute Lymphoblastic leukemia: A prospective randomized controlled trial. Support Care Cancer. 2025;33(3):214. DOI: 10.1007/s00520-025-09250-x [DOI] [PubMed] [Google Scholar]
  • 67.Gaser D, Peters C, Oberhoffer-Fritz R, et al. Effects of strength exercise interventions on activities of daily living, motor performance, and physical activity in children and adolescents with leukemia or non-Hodgkin lymphoma: Results from the randomized controlled ActiveADL study. Front Pediatr. 2022;10:982996. DOI: 10.3389/fped.2022.982996 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Stossel S, Neu MA, Wingerter A, et al. Benefits of exercise training for children and adolescents undergoing cancer treatment: Results from the randomized controlled MUCKI trial. Front Pediatr. 2020;8:243. DOI: 10.3389/fped.2020.00243 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Tanner LR, Hooke MC. Improving body function and minimizing activity limitations in pediatric leukemia survivors: The lasting impact of the Stoplight program. Pediatr Blood Cancer. 2019;66(5):e27596. DOI: 10.1002/pbc.27596 [DOI] [PubMed] [Google Scholar]
  • 70.Krull MR, Howell CR, Partin RE, et al. Protein supplementation and resistance training in childhood cancer survivors. Med Sci Sports Exerc. 2020;52(10):2069–77. DOI: 10.1249/MSS.0000000000002345 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Suppl1 41886139
Suppl 2

Data Availability Statement

Data used for these analyses are publicly available at Visualization Community, St. Jude Cloud. Specific data for these analyses are posted on Zenodo.com.

RESOURCES