ABSTRACT
Background
Patients with head and neck cancer (HNC) often experience deteriorated health‐related quality of life (HRQoL) and loss of body weight and muscle mass. The primary aim was to determine if a home‐based exercise program, aiming to increase physical activity (PA), could reduce muscle mass loss and fatigue.
Methods
Oral cancer patients were randomized to an exercise group (EG) or a control group (CG). The EG received a home‐based exercise program, and both groups were followed for 1 year. The Frändin/Grimby activity scale, bioelectrical impedance analysis, and HRQoL questionnaires were used to assess PA, muscle mass, and fatigue.
Results
In total, 119 patients were included. The EG increased their PA, but no differences in muscle mass were found between groups. A tendency toward less fatigue and better global QoL was observed in the EG.
Conclusion
Future studies are needed to explore the possible benefits of PA in patients with HNC.
Keywords: exercise program, fatigue, muscle mass, oral cancer, physical activity
1. Introduction
The most common tumor locations for head and neck cancer are the oral cavity and oropharynx. Patients with stage I and II oral cancer are often treated with surgery alone; in some cases, postoperative radiation is administered [1]. Stages III and IV oral cancer are advanced and generally treated with combination approaches such as surgery with or without reconstruction and postoperative radiation or chemoradiation. Surgical treatment can cause postoperative pain and functional impairments such as oral dysfunction, problems with chewing, and dysphagia. Common side effects of radiation include dry mouth, dysphagia, mucositis, pain, and trismus. Extensive tumor resection with reconstruction, visible scarring, loss of facial nerve function, and tooth loss can affect a patient's appearance and exert a negative psychological impact [2, 3, 4]. The tumor location and side effects from treatment, together with the disease itself, often cause impaired energy and nutrient intake, leading to weight loss and risk of developing malnutrition [5, 6, 7]. Weight loss in patients with HNC negatively influences survival, functional performance, and health‐related quality of life (HRQoL) [8, 9, 10, 11]. Loss of muscle mass is associated with the development of disease‐related sarcopenia and malnutrition, and studies in HNC patients treated with chemoradiotherapy (CRT) have revealed that lean body mass accounts for up to 70% of total weight loss [12, 13].
Physical activity (PA) during and after cancer treatment has been widely studied, especially among patients with breast, colon, or prostate cancer; the results have shown that PA during and after treatment can improve quality of life (QoL), fatigue, physical function, and survival [14, 15, 16, 17]. A meta‐analysis of 34 randomized controlled trials (RCTs) revealed that PA has a positive effect on HRQoL and physical functioning among cancer patients; furthermore, PA can also have a positive effect on muscle strength and muscle mass, but more studies are needed to confirm these effects [18]. Studies investigating the effects of PA interventions in HNC patients have several limitations, such as small sample sizes, heterogeneous study designs and outcome variables, and risk of bias [19]. HNC is a heterogeneous disease, and different treatment regimens are used depending on the tumor location and stage. To our knowledge, few studies have evaluated PA in patients with HNC at specific tumor sites [20, 21]. In a systematic review from 2021 in patients with HNC, 75% of the included studies reported that at least one outcome measure (most commonly aerobic capacity and fatigue) improved after a PA intervention [22]. To date, only a few RCTs have evaluated the effect of PA on muscle mass in patients with HNC [23, 24].
The hypothesis of this RCT was that an individualized home‐based exercise program, given by a physiotherapist, focused on increasing PA, would reduce muscle mass loss, reduce fatigue, and improve HRQoL among patients with oral cancer. Differences in change in fat‐free mass (FFM) and fatigue between the intervention and control group 4 months after inclusion were the primary outcomes. Secondary outcomes between the two groups at all measurement points were differences in self‐reported PA, change in FFM, weight change, prevalence of malnutrition, fatigue, and HRQoL.
2. Materials and Methods
2.1. Study Population and Study Design
Eligible patients were identified through the multidisciplinary tumor board, which is held weekly at Sahlgrenska University Hospital (Gothenburg, Sweden). The inclusion criteria were newly diagnosed carcinoma of the oral cavity with intended curative treatment and age ≥ 18 years. The exclusion criteria were previous treatment for HNC within the last 5 years, other cancers with ongoing treatments, inability to perform the exercise program, World Health Organization (WHO) performance status ≥ 2, cognitive impairments, or inability to understand the Swedish language.
All participants received oral and written information about the study and provided written informed consent to take part in the study. Patients who accepted were randomized to either the exercise group or the control group at a 1:1 ratio. The randomization was computer‐based and stratified by age, sex, body mass index (BMI), treatment regimen, tumor location, tumor stage, and WHO performance status. All procedures were performed in accordance with the Declaration of Helsinki, and the study was approved by the Regional Ethical Committee in Gothenburg, Sweden (registration number 103–18). Inclusion took place between August 2018 and December 2022. The study inclusion period was extended due to the COVID‐19 pandemic; for the same reason, enrollment in the study temporarily ceased between March and September 2020.
Measurements of PA and nutritional status were conducted by a registered dietitian at the time of enrollment and at 2, 4, 6, and 12 months after inclusion (Figure 1). At these time points, the patients also answered the HRQoL questionnaires. The dietitians who assessed the data were not blinded. The study follow‐ups were, if possible, planned according to the patients' clinical follow‐up visits to the Departments of Otorhinolaryngology or Oncology (Sahlgrenska University Hospital). At inclusion, the physiotherapist informed the patients in the intervention group about the exercise program during a face‐to‐face visit at the clinic. Follow‐up calls were then made by the physiotherapist 1 week and 1, 2, 4, and 6 months after enrollment in the study (Figure 1). If the patients did not answer despite repeated phone calls, they were contacted via text message (mobile).
FIGURE 1.

Timeline over the study period. Physiotherapist: One face‐to‐face visit at inclusion +5 telephone follow‐ups. Study assessment: Five visits with nutritional assessment, body composition measurement, and HRQoL questionnaires. Incl = Inclusion, m = months, w = weeks.
2.2. Treatment
All patients were treated according to national guidelines [25]. The first option of treatment for all patients was surgery, alone or with radiotherapy (RT). Larger tumors were treated with extensive surgery with or without reconstruction followed by RT, and nonresectable tumors were treated with RT or CRT if possible. RT was given with intensity‐modulated radiation therapy (IMRT) to a total tumor dose of 68 Gy, 6 fractions/week. Additional treatment when needed was concomitant chemotherapy (CT), weekly cisplatin, or antibody treatment with cetuximab if CT was contraindicated. All patients were under nutritional surveillance at the Departments of Otorhinolaryngology or Oncology according to the clinics' routine. The clinical dietitian individually met all patients at the time of diagnosis in connection with the multidisciplinary tumor board, and frequent clinical follow‐ups were performed according to the patients' nutritional needs. Nutritional treatment included individualized counseling, protein‐rich oral nutritional supplement (ONS), and enteral (EN) and/or parenteral nutrition (PN), which were primarily introduced reactively when indicated (e.g., when oral food intake was insufficient).
2.3. Intervention with Progressive Resistance Training and Aerobic Activity
At enrollment, a physiotherapist informed each patient in the intervention group about the aim of the intervention during a clinic visit. At the visit, instructions were given on how to perform four muscle strengthening exercises: squats, heel raises, hip thrusts, and push‐ups. Each exercise had four levels of difficulty, which were individualized; for example, the easiest level of push‐ups was performed while standing against a wall, and the hardest level was performed on the floor on toes. Patients performed 3 sets of 10–15 repetitions of the four strengthening exercises and were told to perform the resistance training and additional aerobic activity (chosen by the patient), of at least moderate intensity, for at least 30 min per day, preferably 5 to 7 days a week for a 6‐month period. This corresponds to the recommendation of at least 150 min of PA per week for both aerobic and muscle strengthening activity [26]. Patients who were already active were encouraged to increase the intensity and/or duration. The resistance training was not recommended to be performed during the first 2 weeks after surgery, but the patients were encouraged to take shorter walks at a leisurely pace. To increase motivation, patients received a diary in which they were instructed to mark each day they performed the resistance training and aerobic activity.
During the follow‐up calls, the physiotherapist answered questions, motivated the patients to continue being physically active, and instructed patients on how to intensify aerobic activity and/or increase the difficulty level of the resistance training, if possible. Patients in the control group received general information about the study and information about the potential health benefits of being physically active during and after cancer treatment. In accordance with clinical practice, patients who underwent neck dissection were instructed about a specific postoperative exercise program for shoulder mobility by a physiotherapist.
2.4. Physical Activity Assessment
PA was analyzed by grading the patients on the Frändin/Grimby activity scale, ranging from 1 to 6 (hardly any PA to hard or very hard exercise regularly) [27]. The patients also answered three categorical questions from The National Board of Health and Welfare (Socialstyrelsen) about the amount of time (minutes) spent per week on PA (at least 10 min at a time of moderate intensity, e.g., walks, bicycling, or gardening), the amount of time (minutes) spent per week on physical exercise (at high intensity, which makes you short of breath, e.g., running, gymnastics, or ball sports), and the amount of time (hours) spent per day on sedentary behaviors (excluding the number of hours of sleep) [28, 29]. The results from questions 1 and 2 were weighted together into a common measure: activity minutes per week. The median value of the categories was used for summing. When the results were weighed together, the time spent on physical exercise was counted twice. Patients were then categorized into two groups depending on whether they reached the recommendation of ≥ 150 activity minutes per week [28].
2.5. Body Composition and Nutritional Assessment
Body weight (kg) was measured to the nearest 0.1 kg, height (cm) was measured to the nearest 0.5 cm, and BMI (kg/m2) was calculated. Weight loss (kg) at inclusion was based on patients' self‐reports. At the other four follow‐up assessments, weight loss was based on weight at the time of inclusion. To evaluate body composition, Nutribox (Data Input, Lindenberg 782 343 Pöcking, Germany), a 4‐electrode, 50‐kHz, bioelectrical impedance analysis (BIA) device, was used. BIA evaluations were conducted with patients in the supine position on the patient's right side, using two surface electrodes on the hand and two on the foot [30]. The equation by Dey et al. [31] was used to calculate FFM:
where H = height, R = Resistance, and sex = 0 for females and 1 for males. The calculated FFM was used as a surrogate measure of skeletal muscle mass, and the fat‐free mass index (FFMI) was calculated by dividing the FFM (kg) by the height2 (m). The cutoffs for reduced muscle mass were FFMI < 17 (kg/m2) for men and < 15 (kg/m2) for women [32]. Enteral feeding tubes and the use of ONS were registered, and blood samples were drawn to analyze C‐reactive protein (CRP) levels. Malnutrition was diagnosed according to the GLIM criteria (Global Leadership Initiative on Malnutrition) [32]. Patients with an intake < 50% of the estimated energy requirement for > 1 week and all patients with enteral tube feeding or parenteral nutrition were considered to have reduced food intake. A CRP level > 5 mg/L was used as the cutoff for inflammation [32, 33].
2.6. Health‐Related Quality of Life
HRQoL was studied using three questionnaires from the European Organization for Research and Treatment of Cancer (EORTC), which were completed by the patients at the time of enrollment and at the four follow‐ups. The EORTC QLQ‐C30 [34] is a well‐established questionnaire developed for all cancers and includes both scales and single‐item measures: five functional scales, three symptom scales, a global QoL scale, and six single items. The EORTC QLQ‐HN35 [35] incorporates problems and symptoms common to HNC patients and consists of 7 scales and 11 single items. The EORTC QLQ‐FA12 [36] measures cancer‐related fatigue and consists of three symptom scales and two single items. Most of the questions are answered on a four‐point Likert scale that is converted with linear transformation to a final score ranging from 0 to 100. A higher score on a functional scale or for the global QoL scale represents a high level of function, but a higher score on a symptom scale represents a high level of symptoms or problems [37]. Differences of ≥ 10 points between the two groups indicated a clinically significant difference in HRQoL [37, 38]. Fatigue was analyzed via the fatigue scale from the EORTC QLQ‐C30 and the three scales for physical, emotional, and cognitive fatigue from the EORTC QLQ‐FA12. From the EORTC QLQ‐C30, global QoL; physical, role, emotional, and cognitive function; pain; and appetite loss were analyzed, and from the EORTC QLQ‐HN35, local pain, ability to swallow, dry mouth, and sticky saliva were analyzed.
2.7. Statistical Analysis
Continuous variables are presented as the mean and standard deviation (SD). Mean difference is accompanied by a 95% confidence interval (CI). Categorical variables are presented as numbers and percentages (%). Changes in means were calculated from baseline values. For comparisons between the exercise group and the control group, the t test was used for continuous variables, the Mantel–Haenszel chi‐square test was used to compare ordered categorical variables, the chi‐square test was used to compare nonordered categorical variables, and Fisher's exact test was used to compare dichotomous variables. The Mann–Whitney U test was used to compare HRQoL between the two groups. The prevalence of malnutrition was determined according to the GLIM criteria, which are based on dichotomous variables and are presented as numbers and percentages. Kaplan–Meier analysis was used to estimate overall survival. The statistical analyses included only patients who were assessed at the different time points. Additionally, for the HRQoL questionnaires, at least half of the items on a scale needed to be answered to qualify for analysis. The threshold for statistical significance was a two‐sided p value of 0.05. Analyses were performed via SAS version 9.4 statistical software.
Power analyses were performed with the Mann–Whitney U test, including one for the primary outcome of FFM and one for the primary HRQoL outcome of fatigue. To detect a difference of 2.8% (SD 3.0%) in change in FFM between the groups, with a power of 90%, a total of 54 patients were required to complete the 4‐month follow‐up. The change in FFM is presented as the mean percentage with a 95% confidence interval (CI) for the mean difference. For a power of 90% to detect a difference of 20 points (SD 24.6) between the groups for the EORTC QLQ‐C30 fatigue scale, 70 patients were required at the 4‐month follow‐up.
3. Results
3.1. Patient Characteristics
A total of 119 patients were randomized, but 11 withdrew from the study or died before the first follow‐up. Therefore, 108 patients were included in the analyses (Figure 2). At baseline, the age of the participants ranged from 25 to 83 years, with a mean age of 67 years. A total of 48% of the participants were male (Table 1). The tongue was the most common tumor site in both groups. Most of the patients were diagnosed with stage I–II disease (74% vs. 69%) and were treated with surgery alone (72% vs. 55%). More than 90% of the patients in both groups had a WHO performance status of 0, and a majority of the participants were considered overweight or obese. No significant differences in baseline characteristics were found between the two groups (Table 1). During the follow‐up period, few patients discontinued the study or died (Figure 2), and the 11 patients who withdrew from the study before the first follow‐up were mainly women (90%), and a majority (55%) of the patients were diagnosed with advanced cancer. Additionally, there were also missed follow‐up assessments, mainly due to COVID‐19 but also due to delayed doctor appointments and patient illnesses.
FIGURE 2.

Flow chart of inclusion, exclusion, randomization and follow‐ups in the study.
TABLE 1.
Patient characteristics at baseline by randomization: Exercise group and control group.
| Variable | Total (n = 108) | Exercise group (n = 50) | Control group (n = 58) | p |
|---|---|---|---|---|
| Age (years) | 67.1 (12.0) | 66.6 (13.0) | 67.5 (11.2) | 0.69 |
| Sex | ||||
| Female | 56 (52%) | 26 (52%) | 30 (52%) | |
| Male | 52 (48%) | 24 (48%) | 28 (48%) | 1.00 |
| Living situation | ||||
| Alone | 36 (33%) | 15 (30%) | 21 (36%) | |
| Together | 72 (67%) | 35 (70%) | 37 (64%) | 0.64 |
| Smoking | ||||
| Nonsmoker | 55 (51%) | 29 (58%) | 26 (45%) | |
| Previous smoker | 39 (36%) | 15 (30%) | 24 (41%) | |
| Current smoker | 14 (13%) | 6 (12%) | 8 (14%) | 0.38 |
| WHO performance status | ||||
| 0 | 102 (94%) | 47 (94%) | 55 (95%) | |
| 1 | 6 (6%) | 3 (6%) | 3 (5%) | 1.00 |
| Tumor site of the oral cavity | ||||
| Tongue | 60 (56%) | 28 (56%) | 32 (55%) | |
| Gingivomandibular | 18 (17%) | 8 (16%) | 10 (17%) | |
| Gingivomaxillar | 9 (8%) | 4 (8%) | 5 (9%) | |
| Buccal | 7 (6%) | 4 (8%) | 3 (5%) | |
| Retromolar | 7 (6%) | 2 (4%) | 5 (9%) | |
| Floor of mouth | 4 (4%) | 2 (4%) | 2 (3%) | |
| Palate | 3 (3%) | 2 (4%) | 1 (2%) | 0.94 |
| Stage a | ||||
| I‐II | 77 (71%) | 37 (74%) | 40 (69%) | |
| III‐IV | 31 (29%) | 13 (26%) | 18 (31%) | 0.72 |
| Treatment received | ||||
| Surgery | 68 (63%) | 36 (72%) | 32 (55%) | |
| Surgery and Radiotherapy | 30 (28%) | 12 (24%) | 18 (31%) | |
| Chemoradiotherapy | 4 (3.5%) | 1 (2%) | 3 (5%) | |
| Surgery and Chemoradiotherapy | 6 (5.5%) | 1 (2%) | 5 (9%) | 0.21 |
| Weight (kg) | 75.2 (15.2) | 77.1 (17.4) | 73.6 (12.9) | 0.25 |
| Weight loss during 6 months before inclusion | ||||
| Yes | 38 (35%) | 19 (38%) | 19 (33%) | 0.71 |
| BMI (kg/m2) | ||||
| < 18.5 | 3 (3%) | 2 (4) | 1 (2) | |
| 18.5–24.9 | 40 (37.0%) | 19 (38.0%) | 21 (36.2%) | |
| 25–29.9 | 48 (44%) | 18 (36%) | 30 (52%) | |
| > 30 | 17 (16%) | 11 (22%) | 6 (10%) | 0.72 |
| FFMI (kg/m2) | 19.0 (2.6) | 19.2 (2.8) | 18.9 (2.4) | 0.63 |
| Female | 17.5 (1.4) | 17.6 (1.4) | 17.4 (1.4) | 0.57 |
| Male | 20.7 (2.5) | 20.9 (3.0) | 20.6 (2.0) | 0.68 |
| Overall survival | ||||
| One‐year survival | 96% | 98% | 95% | 0.38 |
| Two‐year survival | 95% | 96% | 95% | 0.76 |
Note: For continuous variables, the mean (SD) is presented, and for categorical variables, number (%) is presented. The Kaplan–Meier analysis was used to estimate overall survival. For comparison between the two groups Fisher's exact test was used for dichotomous variables, the Mantel–Haenszel chi square test for ordered categorical variables, chi square test for nonordered categorical variables and t test was used for continuous variables.
Abbreviations: BMI, body mass index; FFMI, fat free mass index.
Staging according to the Union for International Cancer Control TNM classification of malignant tumors 7th edition.
3.2. Self‐Reported Physical Activity
Compared with those in the control group, significantly more patients in the exercise group increased their PA according to the Frändin/Grimby 6–level activity scale at the 2‐, 4‐, and 6‐month follow‐up assessments (Table 2). During the study, 30%–40% of patients in the intervention group and slightly more than 50% of patients in the control group remained at the same activity level on the Frändin/Grimby scale as at baseline (Table 2). When the six categories on the Frändin/Grimby scale were compared, a significant difference was observed at the 6‐month follow‐up, with more patients in the control group reporting hardly any activity or mostly sitting (Figure 3). When the questions from the National Board of Health and Welfare (Socialstyrelsen) were analyzed, patients in the control group reported a significantly greater amount of time spent performing PA at baseline (Table 3). At all four subsequent follow‐up assessments, compared with the control group, the exercise group significantly increased their time spent on PA (Table 3). Approximately 50% of patients in the intervention group increased time spent performing PA at all follow‐ups, compared with 25% in the control group. These numbers were reversed when comparing the number of patients that reduced their PA. No significant differences were observed for changes in the amount of time spent on physical exercise or sedentary behavior (Table 3). A comparison of the number of patients who performed at least 150 min of activity per week revealed a significant difference in favor of the control group at baseline before the intervention started (Figure 4). However, at the 2‐month follow‐up, compared with those in the control group, significantly more patients in the exercise group reported being physically active for 150 min or more. At the three remaining follow‐ups, no differences were found (Figure 4).
TABLE 2.
Change in physical activity according to the Frändin/Grimby 6‐level activity scale by randomization: Exercise group and control group.
| Visits | Variable | Exercise group | Control group | p |
|---|---|---|---|---|
| Baseline | Frändin/Grimby activity scale | n = 50 | n = 58 | |
| 1. Hardly any physical activity | 5 (10) | 0 (0) | ||
| 2. Mostly sitting | 11 (22) | 7 (12) | ||
| 3. Light physical exercise (2–4 h/week) | 16 (32) | 25 (43) | ||
| 4. Moderate exercise (1–2 h/week) | 12 (24) | 21 (36) | ||
| 5. Moderate exercise (3 h/week) | 3 (6) | 5 (9) | ||
| 6. Hard or very hard exercise | 3 (6) | 0 (0) | 0.15 | |
| 2 months | Change Frändin/Grimby activity scale | n = 49 | n = 54 | |
| Reduced activity level | 16 (33) | 22 (41) | ||
| Unchanged activity level | 19 (39) | 29 (54) | ||
| Increased activity level | 14 (28) | 3 (5) | 0.025 | |
| 4 months | Change Frändin/Grimby activity scale | n = 42 | n = 44 | |
| Reduced activity level | 13 (30) | 18 (41) | ||
| Unchanged activity level | 14 (33) | 23 (52) | ||
| Increased activity level | 16 (37) | 3 (7) | 0.011 | |
| 6 months | Change Frändin/Grimby activity scale | n = 44 | n = 47 | |
| Reduced activity level | 9 (20) | 15 (32) | ||
| Unchanged activity level | 14 (32) | 24 (51) | ||
| Increased activity level | 21 (48) | 8 (17) | 0.0086 | |
| 12 months | Change Frändin/Grimby activity scale | n = 44 | n = 48 | |
| Reduced activity level | 7 (16) | 11 (23) | ||
| Unchanged activity level | 19 (43) | 26 (54) | ||
| Increased activity level | 18 (41) | 11 (23) | 0.091 |
Note: For categorical variables, number (%) is presented. Change is calculated from baseline. For comparison between the two groups, the Mantel–Haenszel chi‐square test was used for ordered categorical variables. The outcome variables were significant if p < 0.05 provided in italics.
FIGURE 3.

Comparison of the Frändin/Grimby 6‐level activity scale [27] in percentage between the physical activity group and the control group at inclusion and 2, 4, 6, and 12 months after enrollment. The Mantel–Haenszel chi‐square test was used for comparison between the two groups. A significant difference was found only at the 6‐month follow‐up. The outcome variables were significant if p < 0.05 provided in italics. [Color figure can be viewed at wileyonlinelibrary.com]
TABLE 3.
Change in time (minutes) per week spent on physical activity and physical exercise and time (hours) per day spent sedentary, by randomization: Exercise group and control group.
| Visits | Time spent on physical activity | Time spent on physical exercise | Time spent sedentary | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | Exercise | Control | p | Variable | Exercise | Control | p | Variable | Exercise | Control | p | |
| Baseline | Daily exercise | n = 50 | n = 58 | Physical exercise | n = 50 | n = 58 | Sedentary | n = 50 | n = 58 | |||
| 0 min | 2 (4) | 1 (2) | Almost the entire day | 1 (2) | 3 (5) | |||||||
| < 30 min | 4 (8) | 2 (3) | 0 min | 23 (46) | 29 (50) | 13–15 h | 1 (2) | 1 (2) | ||||
| 30–60 min | 6 (12) | 6 (10) | < 30 min | 11 (22) | 8 (14) | 10–12 h | 8 (16) | 10 (17) | ||||
| 60–90 min | 8 (16) | 2 (3) | 30–60 min | 4 (8) | 10 (17) | 7–9 h | 15 (30) | 10 (17) | ||||
| 90–150 min | 11 (22) | 9 (16) | 60–90 min | 6 (12) | 3 (5) | 4–6 h | 18 (36) | 26 (45) | ||||
| 150–300 min | 5 (10) | 16 (28) | 90–120 min | 2 (4) | 0 (0) | 1–3 h | 7 (14) | 7 (12) | ||||
| > 300 min | 14 (28) | 22 (38) | 0.022 | > 120 min | 4 (8) | 8 (14) | 0.93 | Never | 0 (0) | 1 (2) | 1.00 | |
| 2 months | n = 47 | n = 51 | n = 47 | n = 51 | n = 47 | n = 51 | ||||||
| Reduced | 11 (23) | 27 (53) | Reduced | 9 (19) | 16 (31) | Reduced | 10 (21) | 14 (28) | ||||
| Unchanged | 16 (34) | 13 (26) | Unchanged | 18 (38) | 20 (39) | Unchanged | 22 (47) | 24 (47) | ||||
| Increased | 20 (43) | 11 (22) | 0.0029 | Increased | 20 (43) | 15 (29) | 0.11 | Increased | 15 (32) | 13 (26) | 0.39 | |
| 4 months | n = 42 | n = 44 | n = 42 | n = 44 | n = 42 | n = 44 | ||||||
| Reduced | 10 (24) | 23 (52) | Reduced | 7 (17) | 10 (23) | Reduced | 11 (26) | 16 (36) | ||||
| Unchanged | 10 (24) | 12 (27) | Unchanged | 16 (38) | 19 (43) | Unchanged | 21 (50) | 18 (41) | ||||
| Increased | 22 (52) | 9 (21) | 0.0012 | Increased | 19 (45) | 15 (34) | 0.29 | Increased | 10 (24) | 10 (23) | 0.48 | |
| 6 months | n = 44 | n = 47 | n = 43 | n = 47 | n = 44 | n = 46 | ||||||
| Reduced | 10 (23) | 23 (49) | Reduced | 8 (19) | 13 (28) | Reduced | 15 (34) | 12 (26) | ||||
| Unchanged | 12 (27) | 13 (28) | Unchanged | 12 (28) | 17 (36) | Unchanged | 16 (36) | 24 (52) | ||||
| Increased | 22 (50) | 11 (23) | 0.0033 | Increased | 23 (54) | 17 (36) | 0.12 | Increased | 13 (30) | 10 (22) | 0.99 | |
| 12 months | n = 44 | n = 48 | n = 44 | n = 48 | n = 44 | n = 48 | ||||||
| Reduced | 9 (21) | 25 (52) | Reduced | 6 (14) | 13 (27) | Reduced | 16 (36) | 16 (33) | ||||
| Unchanged | 16 (36) | 12 (25) | Unchanged | 15 (34) | 16 (33) | Unchanged | 17 (39) | 27 (56) | ||||
| Increased | 19 (43) | 11 (23) | 0.0030 | Increased | 23 (52) | 19 (40) | 0.11 | Increased | 11 (25) | 5 (10) | 0.43 | |
Note: For categorical variables, number (%) is presented. Change is calculated from baseline. For comparison between the two groups, the Mantel–Haenszel chi‐square test was used for ordered categorical variables. The outcome variables were significant if p < 0.05 provided in italics.
FIGURE 4.

Comparison of the proportion of patients with < 150 min of activity and ≥ 150 min of activity per week between the physical activity group and the control group at inclusion and at 2, 4, 6, and 12 months after enrollment. Fisher's exact test was used for comparisons between two groups. Significant differences were found at baseline and at the 2‐month follow‐up. The outcome variables were significant if p < 0.05 provided in italics. [Color figure can be viewed at wileyonlinelibrary.com]
3.3. Changes in Fat‐Free Mass, Body Weight, and Malnutrition
The reductions in FFM and body weight during the study period were small in both groups, and no significant differences were found between the groups (Table 4). In the intervention group, the highest percentage of FFM loss was observed at 12 months (−2.6%), and the highest percentage of body weight loss was observed at 6 months (−2.7%). In the control group, the greatest loss in both FFM (−1.8%) and body weight (−2.9%) was observed at the 6‐month follow‐up. At 12 months, the change in the mean FFM (%) in both groups differed from the median change in FFM: −1.4% (range: −21.5; 6.0) in the exercise group and −1.3% (range: −10.3; 20.2) in the control group. One extreme value in each group had a large effect on the mean value at this time point. The number of patients considered to have reduced muscle mass ranged from 2 to 7 patients in the exercise group and from 5 to 8 patients in the control group. There was no significant difference in the prevalence of malnutrition between the two groups. The highest prevalence of malnutrition was observed at the 4‐month follow‐up, with 14% and 18% in the intervention and control group, respectively (Table 4). During the study period, approximately 80% of the patients in both groups used protein‐rich ONS, and 20% in the exercise group and 30% in the control group used an enteral feeding tube at some point.
TABLE 4.
Fat‐free mass, body weight, and malnutrition by randomization: Exercise group and control group.
| Variable | Exercise group | Control group | p | Mean difference and 95% CI | |
|---|---|---|---|---|---|
| Baseline | n = 50 | n = 58 | |||
| FFM, kg | 52.8 (10.2) | 51.3 (9.3) | 0.45 | 1.4 (−2.3; 5.2) | |
| FFMI Female, kg/m2 | 17.6 (1.4) | 17.4 (1.4) | 0.57 | 0.2 (−0.5; 0.9) | |
| FFMI Male, kg/m2 | 20.9 (3.0) | 20.6 (2.0) | 0.68 | 0.3 (−1.1; 1.7) | |
| Number of patients with reduced muscle mass a | 6 (12%) | 6 (10%) | 1.00 | −2 (−16; 12) | |
| Body weight, kg | 77.1 (17.4) | 73.6 (12.9) | 0.25 | 3.5 (−2.5; 9.4) | |
| Number of patients with malnutrition b | 0 (0%) | 1 (2%) | 1.00 | 2 (−4; 7) | |
| 2 months | n = 49 | n = 54 | |||
| FFM, kg | 52.2 (10.1) | 50.7 (9.1) | 0.41 | 1.6 (−2.2; 5.4) | |
| Change FFM, % | −1.3 (3.9) | −1.1 (3.5) | 0.79 | −0.2 (−1.7; 1.3) | |
| FFMI Female, kg/m2 | 17.3 (1.4) | 17.2 (1.4) | 0.79 | 0.1 (−0.7; 0.9) | |
| FFMI Male, kg/m2 | 20.6 (2.9) | 19.9 (2.1) | 0.32 | 0.7 (−0.7; 2.1) | |
| Number of patients with reduced muscle mass a | 6 (12%) | 8 (15%) | 0.87 | 3 (−12; 18) | |
| Body weight, kg | 75.7 (16.5) | 71.7 (13.0) | 0.17 | 4.0 (−1.8; 9.8) | |
| Change body weight, % | −2.0 (3.0) | −1.9 (3.4) | 0.85 | −0.1 (−1.4; 1.1) | |
| Number of patients with malnutrition b | 4 (8%) | 5 (9%) | 1.00 | 1 (−12; 14) | |
| 4 months | n = 41 | n = 41 | |||
| FFM, kg | 51.9 (9.8) | 51.4 (8.6) | 0.81 | 0.5 (−3.6; 4.6) | |
| Change FFM, % | −1.2 (4.2) | −1.0 (4.5) | 0.89 | −0.1 (−2.0; 1.8) | |
| FFMI Female, kg/m2 | 17.2 (1.0) | 17.5 (1.5) | 0.51 | −0.3 (−1.1; 0.5) | |
| FFMI Male, kg/m2 | 20.6 (2.8) | 19.7 (2.2) | 0.24 | 0.9 (−0.7; 2.5) | |
| Number of patients with reduced muscle mass a | 2 (5%) | 5 (12%) | 0.43 | 7 (−6; 23) | |
| Body weight, kg | 74.3 (16.4) | 72.9 (12.1) | 0.67 | 1.4 (−5.0; 7.7) | |
| Change body weight, % | −2.1 (4.9) | −1.8 (4.5) | 0.75 | −0.3 (−2.4; 1.7) | |
| Number of patients with malnutrition b | 6 (14%) | 8 (18%) | 0.81 | 4 (−12; 21) | |
| 6 months | n = 44 | n = 48 | |||
| FFM, kg | 51.5 (9.6) | 50.8 (9.2) | 0.72 | 0.7 (−3.4; 4.9) | |
| Change FFM, % | −1.2 (3.9) | −1.8 (4.1) | 0.48 | 0.6 (−1.1; 2.4) | |
| FFMI Female, kg/m2 | 17.2 (1.1) | 17.2 (1.4) | 0.99 | 0.0 (−0.8; 0.8) | |
| FFMI Male, kg/m2 | 20.5 (2.4) | 20.0 (2.4) | 0.55 | 0.5 (−1.1; 2.1) | |
| Number of patients with reduced muscle mass a | 5 (13%) | 7 (17%) | 0.86 | 4 (−13; 20) | |
| Body weight, kg | 74.3 (16.5) | 70.9 (12.1) | 0.27 | 3.4 (−2.7; 9.4) | |
| Change body weight, % | −2.7 (7.2) | −2.9 (5.7) | 0.89 | 0.2 (−2.5; 2.9) | |
| Number of patients with malnutrition b | 6 (14%) | 8 (17%) | 0.91 | 3 (−13; 19) | |
| 12 months | n = 44 | n = 48 | |||
| FFM, kg | 52.3 (9.4) | 50.8 (9.4) | 0.45 | 1.5 (−2.5; 5.5) | |
| Change FFM, % | −2.6 (5.5) | −0.9 (5.5) | 0.15 | −1.7 (−4.1; 0.6) | |
| FFMI Female, kg/m2 | 17.1 (1.4) | 17.2 (1.8) | 0.84 | −0.1 (−1.1; 0.9) | |
| FFMI Male, kg/m2 | 20.5 (2.3) | 20.1 (2.3) | 0.55 | 0.4 (−1.0; 1.9) | |
| Number of patients with reduced muscle mass a | 7 (16%) | 8 (18%) | 1.00 | 2 (−15; 19) | |
| Body weight, kg | 76.0 (16.8) | 71.8 (13.0) | 0.18 | 4.2 (−2.0; 10.4) | |
| Change body weight, % | −2.3 (8.0) | −2.8 (6.8) | 0.77 | 0.5 (−2.6; 3.5) | |
| Number of patients with malnutrition b | 0 (0%) | 2 (4%) | 0.54 | 4 (−5; 14) |
Note: For continuous variables, the mean (SD) is presented and for categorical variables, number (%) is presented. The mean difference is presented with a 95% confidence interval. Change is calculated from baseline. For comparison between the two groups, a t test was used for continuous variables, and Fisher's exact test was used for dichotomous variables. Missing values: 2 months: control group FFM n = 2, 6 months: exercise group FFM n = 5; control group FFM n = 6, 12 months: exercise group FFM n = 1; control group FFM n = 4.
Abbreviations: CI, confidence interval; FFM, fat‐free mass.
Cut off values reduced muscle mass: FFMI < 15 kg/m2 for females and < 17 kg/m2 for men.
Malnutrition diagnosis according to the GLIM criteria [32].
3.4. Health‐Related Quality of Life
The results from the selected scales from the EORTC QLQ–C30, QLQ‐HN35, and QLQ‐FA12 questionnaires are shown in Table 5. At the 2‐month follow‐up, the patients in both groups reported most problems with fatigue. The reduction in the fatigue scale (QLQ–C30) was clinically significant compared to baseline within both groups. There was a 6‐point smaller change in fatigue (QLQ–C30) and a 9‐point smaller change in physical fatigue (QLQ–FA12) in favor of the exercise group; however, these differences were not significant. At the 4‐month follow‐up, problems with fatigue were still more pronounced than they were at the time of diagnosis but were not clinically significant in either group. At the remaining follow‐up assessments, further reductions in fatigue were observed (Table 5).
TABLE 5.
Comparison of health‐related quality of life (EORTC QLQ‐C30, QLQ‐HN35, and QLQ‐FA12) between the exercise group and control group.
| Variable | Baseline | 2 months | 4 months | 6 months | 12 months | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Exercise | Control | p | Exercise | Control | p | Exercise | Control | p | Exercise | Control | p | Exercise | Control | p | |
| n = 49 | n = 58 | n = 47 | n = 51 | n = 41 | n = 44 | n = 43 | n = 47 | n = 43 | n = 48 | ||||||
| Mean | Mean | Δ | Δ | Δ | Δ | Δ | Δ | Δ | Δ | ||||||
| EORTC QLQ‐C30 | |||||||||||||||
| Global QoL | 65.6 (21.6) | 66.2 (21.1) | 0.78 | −3.0 (23.3) | −10.3 (19.5) | 0.041 | 1.8 (22.4) | −7.8 (17.0) | 0.033 | 3.7 (22.0) | −0.53 (22.0) | 0.39 | 7.0 (23.4) | 5.9 (21.7) | 0.74 |
| Physical functioning | 91.4 (9.7) | 91.4 (12.6) | 0.46 | −7.2 (13.8) | −11.4 (14.8) | 0.29 | −5.6 (14.0) | −7.4 (10.7) | 0.38 | −3.7 (12.7) | −6.4 (10.1) | 0.21 | −4.5 (12.8) | −2.3 (7.3) | 0.24 |
| Role functioning | 85.4 (25.4) | 86.8 (23.9) | 0.73 | −19.1 (34.7) | −24.0 (30.7) | 0.54 | −0.81 (33.7) | −15.9 (28.1) | 0.030 | −2.3 (33.3) | −8.2 (28.6) | 0.56 | −3.9 (39.7) | 3.8 (25.3) | 0.32 |
| Emotional functioning | 69.7 (19.0) | 66.4 (22.0) | 0.64 | 6.6 (20.8) | 4.8 (16.5) | 0.43 | 9.6 (23.0) | 13.3 (20.0) | 0.38 | 7.4 (20.3) | 12.5 (23.4) | 0.26 | 14.0 (20.2) | 14.1 (20.9) | 0.79 |
| Cognitive functioning | 81.0 (22.6) | 80.7 (21.6) | 0.82 | 2.5 (20.0) | 1.0 (17.1) | 0.76 | 3.7 (21.3) | 3.8 (13.9) | 0.97 | 3.5 (22.0) | 1.8 (16.8) | 0.89 | 5.4 (17.7) | 7.6 (15.0) | 0.45 |
| Fatigue | 23.6 (19.5) | 24.7 (22.7) | 1.00 | −10.6 (21.6) | −16.6 (20.9) | 0.21 | −6.8 (26.2) | −9.3 (25.6) | 0.67 | −5.0 (24.9) | −3.6 (22.2) | 0.84 | −2.6 (24.9) | −0.93 (18.2) | 0.99 |
| Pain | 21.4 (23.3) | 20.7 (24.0) | 0.79 | −5.0 (27.8) | −9.5 (30.1) | 0.18 | −3.7 (29.2) | −12.5 (27.2) | 0.19 | −1.6 (27.7) | −4.6 (26.6) | 0.58 | −2.3 (29.0) | 3.1 (20.0) | 0.49 |
| Appetite loss | 11.6 (18.7) | 12.6 (21.5) | 0.99 | −6.5 (29.5) | −10.5 (36.2) | 0.57 | −8.9 (35.8) | −10.9 (41.6) | 0.76 | −8.5 (36.4) | −8.5 (29.1) | 0.79 | −0.8 (29.5) | 2.1 (24.5) | 0.86 |
| EORTC QLQ‐H&N35 | |||||||||||||||
| Local pain | 24.1 (21.1) | 26.0 (21.2) | 0.74 | −4.3 (24.2) | −2.6 (23.2) | 0.64 | −1.0 (28.3) | −7.8 (31.0) | 0.61 | 5.7 (27.1) | 0.41 (21.5) | 0.27 | 4.3 (29.3) | 4.9 (17.3) | 0.79 |
| Swallowing | 7.8 (14.2) | 7.6 (16.1) | 0.29 | −11.5 (18.4) | −11.4 (27.5) | 0.83 | −3.9 (17.2) | −15.2 (32.7) | 0.18 | −2.1 (17.6) | −8.2 (23.8) | 0.19 | 1.2 (11.3) | −3.0 (20.2) | 0.025 |
| Dry mouth | 21.1 (35.2) | 23.0 (31.3) | 0.44 | −17.0 (40.5) | −14.7 (30.2) | 0.59 | −22.0 (38.4) | −17.4 (36.3) | 0.26 | −20.2 (41.2) | −15.6 (38.6) | 0.40 | −22.5 (39.0) | −19.4 (33.6) | 0.61 |
| Sticky saliva | 13.6 (25.4) | 14.4 (21.7) | 0.57 | −13.5 (23.7) | −17.0 (36.1) | 0.87 | −20.3 (37.2) | −24.0 (37.3) | 0.90 | −15.5 (27.6) | −17.7 (35.3) | 1.00 | −9.3 (32.0) | −11.1 (29.4) | 0.70 |
| EORTC QLQ‐FA12 | |||||||||||||||
| FA12 Physical | 28.4 (22.0) | 27.0 (23.3) | 0.61 | −6.2 (25.9) | −15.7 (20.7) | 0.063 | 1.5 (24.9) | −7.1 (22.8) | 0.19 | 1.4 (20.3) | −1.3 (19.8) | 0.53 | 4.8 (25.3) | 1.4 (18.0) | 0.33 |
| FA12 Emotional | 19.7 (21.1) | 25.1 (26.5) | 0.32 | −1.7 (22.6) | −0.44 (20.5) | 0.75 | 1.1 (23.0) | 2.8 (22.0) | 0.79 | 1.6 (23.7) | 4.7 (25.8) | 0.64 | 5.2 (22.5) | 4.9 (22.0) | 0.79 |
| FA12 Cognitive | 13.3 (19.2) | 15.8 (24.9) | 0.93 | 4.3 (19.2) | 0.33 (19.0) | 0.30 | 5.7 (20.6) | 3.8 (22.4) | 0.59 | 1.6 (20.8) | 2.1 (21.6) | 0.56 | 4.3 (22.2) | 3.8 (17.9) | 1.00 |
Note: For continuous variables, the mean (SD) is presented at baseline and the change in mean (SD) is presented at the follow‐ups. Change is calculated from baseline values. For comparison between the two groups, the Mann–Whitney U test was used for continuous variables. EORTC QLQ‐C30: The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire‐Core 30. EORTC QLQ‐H&N35: The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire‐Head and Neck 35. EORTC QLQ‐FA12: The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire‐Fatigue 12. At baseline a higher score for the global quality of life scale and the function scales reflects a better function, and a higher score for the symptom scales represents more problems. At the follow‐ups a positive change in score reflects improved function and symptoms, and a negative change represents impaired function and symptoms. > 10 points are considered a clinically relevant difference. Δ = change. The outcome variables were significant if p < 0.05 provided in italics.
The results from the other scales revealed statistically significant differences in global QoL at the 2‐ and 4‐month follow‐up assessments in favor of the exercise group, but the differences were less than 10 points (Table 5). At 2 months, both groups reported a clinically relevant decline in swallowing function of 11 points, and at the 4‐month follow‐up, compared with the exercise group, the control group reported clinically significantly more swallowing difficulties. At the 4‐month follow‐up, the control group had a significantly greater decline in role functioning and tended to have more problems with pain. There was a clinically significant decrease in problems with dry mouth in both groups at all follow‐ups and a decrease in problems with sticky saliva at all time points except at 12 months, but no differences were observed between the two groups. At 6 and 12 months, no relevant differences were found between the groups (Table 5).
4. Discussion
In this RCT, patients with oral cancer were given an individualized home‐based exercise program for 6 months, and muscle mass, fatigue, and HRQoL were assessed over a one‐year period. Significantly more patients in the intervention group reported engaging in PA for 150 min or more per week at the 2‐month follow‐up, and the intervention group also reported a significantly larger increase in PA than the control group did during the entire study period. The decrease in muscle mass and body weight was small in both groups, and no effect on muscle mass was established when the exercise group was compared with the control group. The exercise group tended to have fewer problems with fatigue and significantly better global QoL and role function.
The individualized home‐based exercise program was designed to meet the current recommendations for PA [26]. Instructions were given face‐to‐face at the start of the study, but the exercise was unsupervised, home‐based, and carried out with body weight as resistance. The intention of a home‐based program with a higher frequency of training sessions and shorter duration was to ease participation, facilitate regular training, minimize workload (e.g., extra visits, travel), and be flexible for patients. During the 6‐month intervention period, the physiotherapist contacted the patients 5 times by telephone, and no training session was monitored. In the study by Samuel et al. [39], which examined 148 HNC patients, an exercise intervention during and after treatment with CRT significantly improved both functional capacity and HRQoL and reduced fatigue. Similar to our exercise program, they had five training sessions per week with shorter duration, but the training sessions were supervised for the first 7 weeks, and thereafter, patients were monitored once a week for 4 weeks of home‐based exercise. Other interventions with supervised exercise for patients with cancer have shown advantages in terms of HRQoL, fatigue, and physical function [40, 41]. In contrast, a study on exercise preferences in patients with HNC has shown that most patients want advice and instructions face‐to‐face, with a majority preferring unsupervised exercise and a flexible schedule [42]. Additionally, in another study on preferences in HNC survivors, the most popular exercise type was walking; patients preferred to exercise primarily at home or outdoors, and one of the most frequently reported exercise barriers was fatigue [43]. Understanding HNC patients' preferences and barriers to exercise is important, as these factors may also affect participation and adherence.
In our study, self‐reported PA increased significantly in the exercise group during the intervention period, and the increase was also maintained 12 months after inclusion, which is an important finding since studies in patients with HNC have shown a reduction in PA and low PA levels after treatment [44, 45]. In the present study, subjective methods of assessing PA were used, which introduce a risk of bias. Few studies have used objective methods to assess PA in patients with HNC, and two of those studies that used accelerometry reported low levels of PA before treatment [46, 47]. At baseline, the control group reported greater PA, which resulted in similar PA levels in both groups at the follow‐ups, despite the exercise group increasing their self‐reported PA. Adherence to the resistance training could not be assessed because few exercise diaries were submitted or were not used properly. These findings could explain why no differences in muscle mass loss were found between the two groups. Another explanation could be that the mean decrease in body weight and muscle mass did not exceed 3% in either of the two study groups, and the prevalence of malnutrition varied from 0% to 18% during the study period. The small mean loss in body weight and muscle mass in both groups made it difficult to detect differences, and significant weight loss and prevalence of malnutrition are often more common in patients with HNC [48, 49, 50]. The small average loss in weight and muscle mass could be explained by the fact that most patients underwent surgery as monotherapy, allowing for faster recovery, and that all patients received active nutritional treatment during and after treatment, including contact with a dietitian at diagnosis and protein‐rich ONS. In the RCT by Nett et al. [51], the author reported that postoperative intervention with nutritional counseling and protein‐rich ONS reduced weight loss among patients with oral cancer. Similarly, other studies with nutritional interventions and increased protein intake have also shown reductions in the loss of body weight and muscle mass [52, 53].
Few studies, especially RCTs, have examined the effect of PA on muscle mass in patients with HNC with different PA interventions, tumor sites, and treatments [23, 24]. Similar to our results, no effect on reducing muscle mass loss in patients with HNC was observed between groups in the study by Capozzi et al. [24] after either a 12‐week immediate or a 12‐week delayed lifestyle intervention (during or after treatment). In contrast, the DAHANCA 25B randomized clinical trial reported a positive effect of 12 weeks of progressive resistance training, initiated either 8 or 20 weeks after the end of treatment, on lean body mass and muscle strength [23]. During treatment, patients with HNC face several challenges, such as increasing nutritional difficulties and inflammation‐driven muscle depletion, which can make exercise less effective in terms of reducing muscle mass loss. The treatment burden may also affect adherence; therefore, posttreatment exercise may be more beneficial for muscle mass recovery.
Our study revealed that compared with the control group, the exercise group tended to experience less fatigue and had better global QoL and role function. In two other studies where the exercise intervention was performed during treatment with CRT, the exercise group experienced significantly less fatigue and improved QoL compared to the control group [20, 39]. In the previously mentioned DAHANCA 25B trial, where the training program was initiated after treatment, QoL improved in the early exercise group; however, fatigue was reduced in both the early and delayed exercise group without any established differences between the groups [23]. This suggests that regardless of when exercise is introduced, it is possible to reduce fatigue and improve QoL. Thus, early initiation of exercise during treatment should be preferred to prevent severe deterioration, maintain well‐being, and promote recovery.
The strengths of the study were that it was randomized, included exclusively patients with oral cancer, and had few dropouts during the follow‐up period. However, some limitations must be addressed. Patients were not stratified according to PA level at diagnosis, which caused the randomization to fail in balancing the two study groups at baseline. The study participants and outcome assessors were not blinded, which may have inflicted performance bias. Too few exercise diaries were submitted, or the diaries lacked information about the training and could therefore not be used to assess adherence to the exercise program. Finally, the number of missed follow‐ups was higher due to the COVID‐19 pandemic, and more patients than expected needed to be included.
5. Conclusion
In conclusion, this RCT revealed that patients who received a home‐based exercise program increased their PA. The decrease in muscle mass was small, and no differences in muscle mass changes were found between the groups. Compared with the control group, the exercise group tended to have less fatigue and had better global QoL. Currently, PA programs are not part of usual care for patients with HNC, although positive effects have been established, and more research is needed. We suggest that future studies, preferably RCTs, should include larger sample sizes of HNC patients to investigate the effects of exercise on muscle mass, fatigue, and HRQoL. Assessment of PA levels may be valuable in identifying patients in need of exercise interventions, and both objective and subjective methods of assessing PA need to be evaluated. The timing of when it is most beneficial to introduce an exercise intervention also needs to be explored further, and PA interventions in the HNC population can be designed to offer more individualized options to meet different preferences and increase adherence.
Conflicts of Interest
The authors declare no conflicts of interest.
Wallmander C., Bosaeus I., Silander E., et al., “Effect of a Home‐Based Exercise Program on Muscle Mass, Fatigue, and Health‐Related Quality of Life Among Patients with Oral Cancer: A Randomized Trial,” Head & Neck 48, no. 3 (2026): 680–695, 10.1002/hed.70063.
Funding: This work was financed by grants from the Swedish state under the agreement between the Swedish government and the county councils Västra Götaland Region, the ALF agreement (ALFGBG‐965352), the Operational Healthcare Committee (VGFOUREG‐750821), Region Västra Götaland in Sweden, the Local Research and Development Council Gothenburg and Södra Bohuslän (VGFOUGSB‐1004575), and the Sahlgrenska University Hospitals Research Foundations Västra Götaland, Sweden (SU‐997896).
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request. The data are not publicly available due to privacy or ethical considerations.
References
- 1. Machiels J. P., René Leemans C., Golusinski W., Grau C., Licitra L., and Gregoire V., “Squamous Cell Carcinoma of the Oral Cavity, Larynx, Oropharynx and Hypopharynx: EHNS‐ESMO‐ESTRO Clinical Practice Guidelines for Diagnosis, Treatment and Follow‐Up,” Annals of Oncology 31 (2020): 1462–1475. [DOI] [PubMed] [Google Scholar]
- 2. Fingeret M. C., Yuan Y., Urbauer D., Weston J., Nipomnick S., and Weber R., “The Nature and Extent of Body Image Concerns Among Surgically Treated Patients With Head and Neck Cancer,” Psychooncology 21 (2012): 836–844. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Jehn P., Spalthoff S., Lentge F., et al., “Postoperative Quality of Life and Therapy‐Related Impairments of Oral Cancer in Relation to Time‐Distance Since Treatment,” Journal of Cancer Survivorship 16 (2022): 1366–1378. [DOI] [PubMed] [Google Scholar]
- 4. Moore K. A., Ford P. J., and Farah C. S., “Support Needs and Quality of Life in Oral Cancer: A Systematic Review,” International Journal of Dental Hygiene 12 (2014): 36–47. [DOI] [PubMed] [Google Scholar]
- 5. Arends J., Baracos V., Bertz H., et al., “ESPEN Expert Group Recommendations for Action Against Cancer‐Related Malnutrition,” Clinical Nutrition 36 (2017): 1187–1196. [DOI] [PubMed] [Google Scholar]
- 6. Morioka R., Matsuda Y., Kato A., et al., “Oral Functional Impairment May Cause Malnutrition Following Oral Cancer Treatment in a Single‐Center Cross‐Sectional Study,” Scientific Reports 12 (2022): 14787. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Jager‐Wittenaar H., Dijkstra P. U., Vissink A., et al., “Changes in Nutritional Status and Dietary Intake During and After Head and Neck Cancer Treatment,” Head & Neck 33 (2011): 863–870. [DOI] [PubMed] [Google Scholar]
- 8. Citak E., Tulek Z., and Uzel O., “Nutritional Status in Patients With Head and Neck Cancer Undergoing Radiotherapy: A Longitudinal Study,” Support Care Cancer 27 (2019): 239–247. [DOI] [PubMed] [Google Scholar]
- 9. Crowder S. L., Douglas K. G., Yanina Pepino M., Sarma K. P., and Arthur A. E., “Nutrition Impact Symptoms and Associated Outcomes in Post‐Chemoradiotherapy Head and Neck Cancer Survivors: A Systematic Review,” Journal of Cancer Survivorship 12 (2018): 479–494. [DOI] [PubMed] [Google Scholar]
- 10. Datema F. R., Ferrier M. B., and Baatenburg de Jong R. J., “Impact of Severe Malnutrition on Short‐Term Mortality and Overall Survival in Head and Neck Cancer,” Oral Oncology 47 (2011): 910–914. [DOI] [PubMed] [Google Scholar]
- 11. Löser A., Abel J., Kutz L. M., et al., “Head and Neck Cancer Patients Under (Chemo‐)radiotherapy Undergoing Nutritional Intervention: Results From the Prospective Randomized HEADNUT‐Trial,” Radiotherapy and Oncology 159 (2021): 82–90. [DOI] [PubMed] [Google Scholar]
- 12. Wallmander C., Bosaeus I., Silander E., et al., “Malnutrition in Patients With Advanced Head and Neck Cancer: Exploring the Global Leadership Initiative on Malnutrition (GLIM) Criteria, Energy Balance and Health‐Related Quality of Life,” Clinical Nutrition ESPEN 66 (2025): 332–342. [DOI] [PubMed] [Google Scholar]
- 13. Silver H. J., Dietrich M. S., and Murphy B. A., “Changes in Body Mass, Energy Balance, Physical Function, and Inflammatory State in Patients With Locally Advanced Head and Neck Cancer Treated With Concurrent Chemoradiation After Low‐Dose Induction Chemotherapy,” Head & Neck 29 (2007): 893–900. [DOI] [PubMed] [Google Scholar]
- 14. Cešeiko R., Thomsen S. N., Tomsone S., et al., “Heavy Resistance Training in Breast Cancer Patients Undergoing Adjuvant Therapy,” Medicine and Science in Sports and Exercise 52 (2020): 1239–1247. [DOI] [PubMed] [Google Scholar]
- 15. Horgan S. and O'Donovan A., “The Impact of Exercise During Radiation Therapy for Prostate Cancer on Fatigue and Quality of Life: A Systematic Review and Meta‐Analysis,” Journal of Medical Imaging and Radiation Sciences 49 (2018): 207–219. [DOI] [PubMed] [Google Scholar]
- 16. Je Y., Jeon J. Y., Giovannucci E. L., and Meyerhardt J. A., “Association Between Physical Activity and Mortality in Colorectal Cancer: A Meta‐Analysis of Prospective Cohort Studies,” International Journal of Cancer 133 (2013): 1905–1913. [DOI] [PubMed] [Google Scholar]
- 17. Lahart I. M., Metsios G. S., Nevill A. M., and Carmichael A. R., “Physical Activity, Risk of Death and Recurrence in Breast Cancer Survivors: A Systematic Review and Meta‐Analysis of Epidemiological Studies,” Acta Oncologica 54 (2015): 635–654. [DOI] [PubMed] [Google Scholar]
- 18. Buffart L. M., Kalter J., Sweegers M. G., et al., “Effects and Moderators of Exercise on Quality of Life and Physical Function in Patients With Cancer: An Individual Patient Data Meta‐Analysis of 34 RCTs,” Cancer Treatment Reviews 52 (2017): 91–104. [DOI] [PubMed] [Google Scholar]
- 19. Capozzi L. C., Nishimura K. C., McNeely M. L., Lau H., and Culos‐Reed S. N., “The Impact of Physical Activity on Health‐Related Fitness and Quality of Life for Patients With Head and Neck Cancer: A Systematic Review,” British Journal of Sports Medicine 50 (2016): 325–338. [DOI] [PubMed] [Google Scholar]
- 20. Hu Q. and Zhao D., “Effects of Resistance Exercise on Complications, Cancer‐Related Fatigue and Quality of Life in Nasopharyngeal Carcinoma Patients Undergoing Chemoradiotherapy: A Randomised Controlled Trial,” European Journal of Cancer Care 30 (2021): e13355. [DOI] [PubMed] [Google Scholar]
- 21. Huang C. H., Peng T. C., Chou Y. F., and Peng Y. H., “Investigating Sarcopenia, Physical Activity, and Inflammation Biomarkers in Newly Diagnosed Oral Cancer Patients During Curative Treatment: A Prospective Longitudinal Study,” Asia‐Pacific Journal of Oncology Nursing 10 (2023): 100261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Lynch P. T., Horani S., Lee R., et al., “Effectiveness of Physical Activity Interventions in Improving Objective and Patient‐Reported Outcomes in Head and Neck Cancer Survivors: A Systematic Review,” Oral Oncology 117 (2021): 105253. [DOI] [PubMed] [Google Scholar]
- 23. Lønbro S., Dalgas U., Primdahl H., et al., “Progressive Resistance Training Rebuilds Lean Body Mass in Head and Neck Cancer Patients After Radiotherapy—Results From the Randomized DAHANCA 25B Trial,” Radiotherapy and Oncology 108 (2013): 314–319. [DOI] [PubMed] [Google Scholar]
- 24. Capozzi L. C., McNeely M. L., Lau H. Y., et al., “Patient‐Reported Outcomes, Body Composition, and Nutrition Status in Patients With Head and Neck Cancer: Results From an Exploratory Randomized Controlled Exercise Trial,” Cancer 122 (2016): 1185–1200. [DOI] [PubMed] [Google Scholar]
- 25. Regionala cancercentrum , “Huvud‐och halscancer Nationellt vårdprogram,” 2024, https://kunskapsbanken.cancercentrum.se/globalassets/cancerdiagnoser/huvud‐och‐hals/vardprogram/nationellt‐vardprogram‐huvud‐halscancer.pdf.
- 26. Folkhälsomyndigheten , “Riktlinjer för fysisk aktivitet och stillasittande,” 2021, https://www.folkhalsomyndigheten.se/contentassets/106a679e1f6047eca88262bfdcbeb145/riktlinjer‐fysisk‐aktivitet‐stillasittande.pdf.
- 27. Frändin K. and Grimby G., “Assessment of Physical Activity, Fitness and Performance in 76‐Year‐Olds,” Scandinavian Journal of Medicine & Science in Sports 4 (1994): 41–46. [Google Scholar]
- 28. Socialstyrelsen , “Utdrag ur indikatorbilagan för Nationella riktlinjer för sjukdomsförebyggande metoder 2011,” 2020, https://www.socialstyrelsen.se/globalassets/sharepoint‐dokument/artikelkatalog/ovrigt/2020‐2‐6596.pdf.
- 29. Socialstyrelsen , “Nationella riktlinjer 2024: Vård vid ohälsosamma levnadsvanor,” 2024, https://www.socialstyrelsen.se/globalassets/sharepoint‐dokument/artikelkatalog/nationella‐riktlinjer/2024‐11‐9272.pdf.
- 30. Kyle U. G., Bosaeus I., De Lorenzo A. D., et al., “Bioelectrical Impedance Analysis—Part I: Review of Principles and Methods,” Clinical Nutrition 23 (2004): 1226–1243. [DOI] [PubMed] [Google Scholar]
- 31. Dey D. K., Bosaeus I., Lissner L., and Steen B., “Body Composition Estimated by Bioelectrical Impedance in the Swedish Elderly. Development of Population‐Based Prediction Equation and Reference Values of Fat‐Free Mass and Body Fat for 70‐ and 75‐y Olds,” European Journal of Clinical Nutrition 57 (2003): 909–916. [DOI] [PubMed] [Google Scholar]
- 32. Cederholm T., Jensen G. L., Correia M., et al., “GLIM Criteria for the Diagnosis of Malnutrition ‐ A Consensus Report From the Global Clinical Nutrition Community,” Clinical Nutrition 38 (2019): 1–9. [DOI] [PubMed] [Google Scholar]
- 33. Cederholm T., Barazzoni R., Austin P., et al., “ESPEN Guidelines on Definitions and Terminology of Clinical Nutrition,” Clinical Nutrition 36 (2017): 49–64. [DOI] [PubMed] [Google Scholar]
- 34. Aaronson N. K., Ahmedzai S., Bergman B., et al., “The European Organization for Research and Treatment of Cancer QLQ‐C30: A Quality‐Of‐Life Instrument for Use in International Clinical Trials in Oncology,” Journal of the National Cancer Institute 85 (1993): 365–376. [DOI] [PubMed] [Google Scholar]
- 35. Bjordal K., Hammerlid E., Ahlner‐Elmqvist M., et al., “Quality of Life in Head and Neck Cancer Patients: Validation of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire‐H&N35,” Journal of Clinical Oncology 17 (1999): 1008–1019. [DOI] [PubMed] [Google Scholar]
- 36. Weis J., Tomaszewski K. A., Hammerlid E., et al., “International Psychometric Validation of an EORTC Quality of Life Module Measuring Cancer Related Fatigue (EORTC QLQ‐FA12),” Journal of the National Cancer Institute 109 (2017): 1–8. [DOI] [PubMed] [Google Scholar]
- 37. Fayers P. A. N. and Bjordal K., The EORTC QLQ‐C30 Scoring Manual, 3rd ed. (European Organisation for Research and Treatment of Cancer, 2001). [Google Scholar]
- 38. Osoba D., Rodrigues G., Myles J., Zee B., and Pater J., “Interpreting the Significance of Changes in Health‐Related Quality‐Of‐Life Scores,” Journal of Clinical Oncology 16 (1998): 139–144. [DOI] [PubMed] [Google Scholar]
- 39. Samuel S. R., Maiya A. G., Fernandes D. J., et al., “Effectiveness of Exercise‐Based Rehabilitation on Functional Capacity and Quality of Life in Head and Neck Cancer Patients Receiving Chemo‐Radiotherapy,” Support Care Cancer 27 (2019): 3913–3920. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Vanv J., Sweegers M. G., Peeters P. H. M., et al., “Moderators of Exercise Effects on Cancer‐Related Fatigue: A Meta‐Analysis of Individual Patient Data,” Medicine and Science in Sports and Exercise 52 (2020): 303–314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Sweegers M. G., Altenburg T. M., Chinapaw M. J., et al., “Which Exercise Prescriptions Improve Quality of Life and Physical Function in Patients With Cancer During and Following Treatment? A Systematic Review and Meta‐Analysis of Randomised Controlled Trials,” British Journal of Sports Medicine 52 (2018): 505–513. [DOI] [PubMed] [Google Scholar]
- 42. Rogers L. Q., Malone J., Rao K., et al., “Exercise Preferences Among Patients With Head and Neck Cancer: Prevalence and Associations With Quality of Life, Symptom Severity, Depression, and Rural Residence,” Head & Neck 31 (2009): 994–1005. [DOI] [PubMed] [Google Scholar]
- 43. Midgley A. W., Lowe D., Levy A. R., Mepani V., and Rogers S. N., “Exercise Program Design Considerations for Head and Neck Cancer Survivors,” European Archives of Oto‐Rhino‐Laryngology 275 (2018): 169–179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Rogers L. Q., Courneya K. S., Robbins K. T., et al., “Physical Activity and Quality of Life in Head and Neck Cancer Survivors,” Support Care Cancer 14 (2006): 1012–1019. [DOI] [PubMed] [Google Scholar]
- 45. Sammut L., Fraser L. R., Ward M. J., Singh T., and Patel N. N., “Participation in Sport and Physical Activity in Head and Neck Cancer Survivors: Associations With Quality of Life,” Clinical Otolaryngology 41 (2016): 241–248. [DOI] [PubMed] [Google Scholar]
- 46. Douma J. A. J., Verdonck‐de Leeuw I. M., Leemans C. R., et al., “Demographic, Clinical and Lifestyle‐Related Correlates of Accelerometer Assessed Physical Activity and Fitness in Newly Diagnosed Patients With Head and Neck Cancer,” Acta Oncologica 59 (2020): 342–350. [DOI] [PubMed] [Google Scholar]
- 47. Karczewska‐Lindinger M., Tuomi L., Fridolfsson J., Arvidsson D., Börjesson M., and Finizia C., “Low Physical Activity in Patients Diagnosed With Head and Neck Cancer,” Laryngoscope Investigative Otolaryngology 6 (2021): 747–755. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Berg M., Hansson C., Silander E., et al., “A Randomized Study Comparing the Nutritional Effects of Radiotherapy With Cetuximab Versus Cisplatin in Patients With Advanced Head and Neck Cancer,” Head & Neck 46 (2024): 760–771. [DOI] [PubMed] [Google Scholar]
- 49. Einarsson S., Laurell G., and Tiblom Ehrsson Y., “Mapping the Frequency of Malnutrition in Patients With Head and Neck Cancer Using the GLIM Criteria for the Diagnosis of Malnutrition,” Clinical Nutrition ESPEN 37 (2020): 100–106. [DOI] [PubMed] [Google Scholar]
- 50. Silander E., Nyman J., and Hammerlid E., “An Exploration of Factors Predicting Malnutrition in Patients With Advanced Head and Neck Cancer,” Laryngoscope 123 (2013): 2428–2434. [DOI] [PubMed] [Google Scholar]
- 51. Nett H., Steegmann J., Tollkühn‐Prott B., Hölzle F., and Modabber A., “A Prospective Randomized Comparative Trial Evaluating Postoperative Nutritional Intervention in Patients With Oral Cancer,” Scientific Reports 12 (2022): 14213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Capitão C., Coutinho D., Neves P. M., et al., “Protein Intake and Muscle Mass Maintenance in Patients With Cancer Types With High Prevalence of Sarcopenia: A Systematic Review,” Support Care Cancer 30 (2022): 3007–3015. [DOI] [PubMed] [Google Scholar]
- 53. Bøjesen M., Juhl C. B., and Nørgaard B., “Prevention of Weight Loss in Patients With Head and Neck Cancer in Ongoing Radiation or Chemoradiation Therapy‐A Systematic Review and Meta‐Analysis,” European Journal of Oncology Nursing 72 (2024): 102668. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request. The data are not publicly available due to privacy or ethical considerations.
