Healthy lifestyle and rehabilitation may mitigate late effects after cancer treatment, but knowledge about lifestyle and rehabilitation information needs among long-term young adult cancer survivors (YACSs) (≥ 5 years from diagnosis) is limited. The present study aimed to examine such information needs among long-term YACSs, and identify characteristics of those with needs.
Material and methods
The Cancer Registry of Norway identified long-term YACSs diagnosed with breast cancer, colorectal cancer, non-Hodgkin lymphoma, leukemia, or malignant melanoma at the age of 19–39 years, between 1985 and 2009. Survivors were mailed a questionnaire, in which respondents reported their information needs on physical activity, diet, and rehabilitation services 5–30 years post-diagnosis. Descriptive statistics and logistic regression analyses were used to examine the prevalence of information needs and associated factors.
Results
Of 1488 respondents (a response rate of 42%), 947 were included. Median age at diagnosis was 35 years (range 19–39) and median observation time since diagnosis was 14 years (range 5–30). In total, 41% reported information needs for information about physical activity, 45% about diet, and 47% about rehabilitation services. Information needs were associated with higher treatment intensity, increasing number of late effects, and an unhealthy lifestyle.
Conclusion
A large proportion of long-term YACSs report information needs regarding lifestyle and/or rehabilitation more than a decade beyond treatment. Assessments of such information needs should become a part of long-term care of these cancer survivors.
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Background
Young adults aged 19–39 years when diagnosed with cancer will often face unique challenges, such as disruptions to their education and career paths, and establishing relationships, form a family, and ensure financial stability, compared to those diagnosed in later adult age [1, 2]. Successful cancer treatment in young adulthood is typically associated with a long life expectancy, but also an increased risk of late effects due to the cancer and its treatment [3]. For example, research from the USA show that about 40% of long-term survivors of adolescent and young adult cancers have at least one severe or life-threatening late effect, including cardiovascular diseases, obesity, and abnormal pulmonary function by the age of 45 years [4].
A healthy lifestyle may reduce risks of late effects, potentially improving long-term health among cancer survivors [5]. In order to achieve a healthy lifestyle and to reach other health outcomes, cancer survivors may benefit from rehabilitation programs [6]. Such programs are typically delivered as inpatient multidisciplinary rehabilitation programs, outpatient single directed programs, or information emphasizing physical activity, nutrition, smoking dissertation, or physiological well-being. Studies show beneficial effects of several rehabilitation programs on lifestyle and physical and psychological health outcomes among cancer survivors [6, 7].
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A large proportion of young adult cancer survivors (YACSs) report various information needs related to health outcomes and lifestyle during the first years after diagnosis [8] (see overview in the Supplementary File). According to Keegan and colleagues, 51% reported information needs about late effects, 32% about physical activity, and 40% about nutrition and diet among adolescent and YACSs (15–39 years of age at diagnosis) within 2 years after diagnosis [9]. The information needs later in the survivorship continuum are less studied. Among 160 adolescent and YACSs on average 12 years after various diagnoses, 70–80% reported information needs about late effects and follow-up, but their need for information about lifestyle and rehabilitation was not examined [10].
The current literature base includes studies examining information needs among YACSs in the first years after treatment [8, 9, 11, 12], but large-scale studies investigating information needs several years after treatment are lacking, as well as studies identifying subgroups of YACSs with needs for information on lifestyle and rehabilitation services specifically. By identifying information needs regarding lifestyle advice and rehabilitation programs among subgroups of YACSs, health care personnel are better prepared to deliver targeted information to those in need and help YACSs to make informed decisions about their lifestyle behavior and participation in rehabilitation programs.
The aims of this study were therefore to examine information needs about physical activity, diet, and rehabilitation services among long-term YACSs exclusively, and to identify demographic, medical, and lifestyle characteristics of those with such information needs. Due to long-term late effects impacting lifestyle and health, we hypothesize that the proportion of long-term YACSs who report information needs about lifestyle and rehabilitation will be at least as high as the proportion reported by YACSs in the first years after diagnosis in previous studies.
Materials and methods
Study participants
The current study is a sub-study of the nationwide, population-based NOR-CAYACS study [13]. Norwegian childhood, adolescent, and young adult cancer survivors (CAYACS) were identified through the Cancer Registry of Norway (CRN) and mailed a questionnaire-based health survey in 2015/2016.
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Participants from the NOR-CAYACS study were included in this sub-study if ≥ 5 years had elapsed since a diagnosis of breast cancer (BC) (stages I–III), colorectal cancer (CRC), non-Hodgkin lymphoma (NHL), leukemia (LEUK), or malignant melanoma (MM) (localized treated with minimal surgery), between 1985 and 2009, during young adulthood (19–39 years of age). Relatively good prognosis and risk of late effects are reasons why these cancer diagnoses were chosen for inclusion. YACSs treated for other cancer types relevant for young adults, such as Hodgkin lymphoma, cervical cancer, and testicular cancer, were not included because these survivors were included in other concurrent studies at our department at the time of survey.
YACSs were excluded if more than one cancer diagnosis or distant metastases were registered in the CRN, if the participants reported to be on cancer treatment at the time of survey, if they reported recurrence of cancer, or if they did not respond to questions related to treatment and/or about information needs. Survivors after non-metastatic MM treated with minimal surgery served as a reference group for treatment intensity.
Data sources and measurements
CRN data
Information on gender, date of birth, cancer diagnosis, and date of diagnosis were obtained from the CRN. This information was used to calculate age at diagnosis, age at survey, and time from diagnosis to survey.
Questionnaire data
In total, the questionnaire consisted of 302 items of which 162 items were compulsory. The topics covered were socio-demographic background, late effects, health care use and needs, information needs, work ability and financial burden, physical health, mental health, fatigue, lifestyle, health-related quality of life, and health literacy. The majority of the measures were covered by validated instruments [13‐18].
Participants received the questionnaire by mail, together with study information, an informed consent form, and a pre-paid return envelope. Non-responders received one reminder after 5 months.
Outcome variables
Perceived information needs on lifestyle advice and rehabilitation services were assessed by three single questions: “Do you want advice on physical activity/exercise?”; “Do you want dietary advice?”; and “Do you want information about rehabilitation services?” The response categories for each question were “Yes,” “No, have no need,” and “No, have had need, but received enough information.” To identify characteristics of those with information needs, we chose to compare those who responded “Yes” with those who responded “No, have no need.”
Socio-demographic variables
We obtained information about marital status (living as a couple versus not), education (low level ≤ high school versus high level; i.e., college/university), and work situation (within work force/being a student versus not). Socio-economic status (SES) was assessed by combining marital status, education, and work situation. To be included in the high SES group, at least two of the three following conditions had to be fulfilled: living as a couple, college/university, and being within work force/being a student.
Treatment and late effects
Treatment was self-reported and categorized into (1) “minimal surgery restricted to localized MM” (surgical removal of the skin lesion only), (2) “surgery and/or radiotherapy only,” (3) “systemic treatment only,” and (4) “systemic treatment combined with surgery and/or radiotherapy.” Information on late effects was obtained by asking if the participants had experienced any of 16 listed late effects (hormonal changes, reduced fertility, cardiovascular diseases, lung problems, problems of dental health, problems with memory and concentration, problems with hearing, muscular cramps, peripheral neuropathic pain, numbness of hands/feet, sexual problems, osteoporosis, lymphedema, and radiation injuries). The total number of late effects was summarized for each participant and categorized into groups with 0, 1–2, 3–4, and ≥ 5 late effects. Chronic fatigue and psychological reactions were excluded from the list, since these conditions were measured by separate, validated instruments.
Fatigue was assessed by the Chalder Fatigue Questionnaire (FQ) [15]. FQ consists of 11 items (e.g., During the last month, “Do you have problems with tiredness?”; “Do you have difficulty concentrating?”) scored from 0 to 3, with increasing total score (0 to 33) implying higher levels of fatigue. Internal consistency (Cronbach’s alpha) for the population included in this analysis was 0.92 for fatigue scale. To identify chronic fatigue, scores of each item were dichotomized (0 = 0, 1 = 0, 2 = 1, 3 = 1) and chronic fatigue was defined by a dichotomized sum score ≥ 4 with ≥ 6 months duration [15].
Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9) [16]. PHQ-9 consists of 9 items (e.g., Over the last 2 weeks, how often have you been bothered by “Little interest or pleasure in doing things,” “Feeling down, depressed, or hopeless”) scored from 0 to 3, with increasing sum score (0 to 27) indicating higher level of depressive symptoms. Cronbach’s alpha for PHQ-9 was 0.88 in the present population. Anxiety symptoms were measured by the anxiety subscale of the Hospital Anxiety and Depression Scale (HADS-A) [18]. This subscale consists of 7 items (e.g., During the last week, can you describe how often you “I feel tense or “wound up”,” “I get a sort of frightened feeling as if something awful is about to happen,” “Worrying thoughts go through my mind”), scored from 0 to3, with increasing sum scores (0 to 21) indicating higher level of anxiety symptoms. Cronbach’s alpha for HADS-A was 0.83 in the present population.
Lifestyle variables
Physical activity/exercise was assessed by a modified version of the Godin Leisure Time Exercise Questionnaire [14]. Being physically inactive was defined as not meeting the guidelines of at least 150 min of moderate intensity, or 75 min of high intensity, or an equivalent combination of moderate and high intensity physical activity per week [19]. Being obese (defined as BMI (kg/m2) ≥ 30) was calculated from self-reported height and weight [20]. Being a current smoker was defined by responding “Yes, I smoke daily” to the question “Do you smoke?”.
Statistical analyses
Continuous variables are presented by means, standard deviations (SD), medians, and ranges, and categorical variables by numbers and percentages. Three logistic regression analyses identified characteristics of YACSs with information needs on (1) physical activity, (2) diet, and (3) rehabilitation, compared to those without such needs. Statistically significant variables associated with each of the three types of needs in univariate analyses were included as explanatory variables in three separate multivariable logistic regression analyses (Tables 2, 3, and 4). Cancer diagnoses and depression symptoms were not included in the multivariable analyses due to high correlation with treatment group and chronic fatigue, respectively. Odds ratios (ORs) are presented with 95% confidence intervals (95% CI). Analyses were performed by SPSS 25.0 (SPSS, Chicago, IL). A P value ≤ 0.05 was considered statistically significant.
Results
Of 3558 YACSs identified by the CRN and invited to participate, 1488 (42%) responded to the survey, of which 541 were excluded for the present analyses (Fig. 1). Among the 947 YACSs included, 74% were females, and 42% were diagnosed with BC (Table 1). Median age at diagnosis was 35 years (range 19–39), and median age at survey was 48 years (range 27–65). Median observation time since diagnosis was 14 years (range 5–30). Thirty-seven percent reported ≥ 3 late effects.
Fig. 1
Flow chart for the current sub-study. BC breast cancer, CRC colorectal cancer, NHL non-Hodgkin lymphoma, LEUK leukemia, MM malignant melanoma
Table 1
Characteristics of participants (n = 947)
Socio-demographic variables
Gender, n (%)
Female
704 (74)
Male
243 (26)
Age at survey (years) (mean (SD)/median (range))
49 (7.6)/48 (27–65)
Age categories, n (%)
< 50 years
558 (59)
≥ 50 years
389 (41)
Marital status, n (%)
Living as a couple
752 (80)
Not living as a couple
190 (20)
Education, n (%)
High level (college/university)
557 (59)
Low level (≤ high school)
382 (41)
Work situation, n (%)
Within work force
786 (84)
Not within work force
153 (16)
Socio-economic statusa, n (%)
High
770 (82)
Low
169 (18)
Cancer-related variables and late effects
Age at diagnosis (years) (mean (SD)/median (range))
33 (5.4)/35 (19–39)
Years since diagnosis (mean (SD)/median (range))
15 (6.7)/14 (5–30)
Diagnoses, n (%)
Breast cancer
399 (42)
Colorectal cancer
105 (11)
Non-Hodgkin lymphoma
156 (17)
Leukemia
95 (10)
Malignant melanoma
192 (20)
Treatment modality, n (%)
Minimal surgery
192 (20)
Surgery and/or radiotherapy only
143 (15)
Systemic treatment only
133 (14)
Systemic treatment combined with surgery and/or radiotherapy
479 (51)
Number of late effectsb
0
360 (38)
1–2
241 (26)
3–4
174 (19)
> 5
164 (18)
Chronic fatigue, n (%)
No
694 (74)
Yes
241 (26)
HADS-Ac score (mean (SD)/median (range))
4.9 (3.8)/4 (0–21)
PHQ-9d score (total) (mean (SD)/median (range))
5.6 (4.9)/4 (0–27)
Lifestyle variables, n (%)
Inactivee
No
506 (55)
Yes
413 (45)
Obese (BMI ≥ 30) (kg/m2)
No
775 (83)
Yes
154 (17)
Current daily smoker
No
831 (88)
Yes
113 (12)
SD standard deviation, BMI body mass index
Numbers may not add up to 947 because of missing data and percentages may not add up to 100 because of rounding
aSocio-economic status is calculated by merging marital status (living as a couple versus not) and education (high level versus low level and work situation (within work force/being a student versus not). If the participants lived as a couple, had a high level of education, and were within work force/being a student, or if they fulfilled two of these, they were categorized into a high socio-economic status group. If the participants were not living as a couple, had a low level of education, and were not within work force/not being a student, or if they fulfilled two of these, they were categorized into the low socio-economic status group
bNumber of late effects included the following: hormonal changes, reduced fertility, cardiovascular diseases, lung problems, problems of dental health, problems with memory and concentration, problems with hearing, muscular cramps, nerve pains, numbness of hands/feet, sexual problems, osteoporosis, lymphedema, and radiation injuries (no/yes) summarized for each participant and categorized into participants with 0, 1–2, 3–4, and ≥ 5. Chronic fatigue and psychological reactions were excluded from the list of late effects
dPHQ-9 = The Patient Health Questionnaire-9. Increasing scores imply worse symptoms. Not included in multivariate analyses, because of high correlation to fatigue
eInactive defined as not meeting the PA guidelines of at least 150 min of moderate intensity, 75 min high intensity, or an equivalent combination of moderate and high intensity PA per week
×
Information needs
Among all participants, 41% reported information needs on physical activity, 45% on diet, and 47% on rehabilitation services (Fig. 2). Ten percent or less reported that they had had information needs, but had received enough information in these areas. Twenty-seven percent had information needs on physical activity, diet, and rehabilitation services, 15% had two information needs, 19% had one information need, and 39% had no information need.
Fig. 2
Proportion of YACSs with information needs on physical activity, diet, and rehabilitation
×
Characteristics of YACSs with information needs
Lifestyle
Multivariable logistic regression analysis showed that YACSs who had received systemic treatment in combination with surgery and/or radiotherapy were more likely to report needs for information about physical activity and diet compared to our reference group of MM survivors (Tables 2 and 3). YACSs with chronic fatigue, who had increasing symptoms of anxiety, who were physically inactive, or who were obese were also more likely to have a need for information on lifestyle than those without these characteristics (Tables 2 and 3).
Table 2
Proportion of YACSs with information needs on physical activity and characteristics of YACSs with this information need
Physical activity/exercise advice (n = 823)
Univariate analyses
Multivariable analyses
Variables
Yes (n = 373)
No, need (n = 450)
OR
95% CI
P value
aOR
95% CI
P value
Sex, n (%)
Female
275 (45)
338 (55)
1.00
Male
98 (47)
112 (53)
1.08
0.79–1.47
0.650
Age at survey 2 categories, n (%)
≥ 50
132 (39)
207 (61)
1.00
1.0
< 50
241 (50)
243 (50)
1.56
1.17–2.06
0.002
1.20
.79–1.81
.390
Socio-economic statusa, n (%)
High
291 (44)
377 (56)
1.00
1.0
Low
80 (54)
69 (46)
1.50
1.05–2.15
0.025
0.96
0.65–1.53
0.983
Cancer-related variables and late effects
Years since diagnosis
5–10 years
145 (54)
126 (46)
1.00
1.00
11–20 years
154 (43)
203 (57)
0.66
0.48–0.91
0.010
0.77
0.51–1.16
.215
21–30 years
74 (38)
121 (62)
0.53
0.37–0.77
0.001
0.76
0.44–1.32
.333
Diagnoses, n (%)
Malignant melanoma
52 (30)
123 (70)
1.00
Breast cancer
172 (50)
172 (50)
2.37
1.61–3.48
< .001
Colorectal cancer
43 (47)
49 (53)
2.08
1.23–3.50
0.006
Non-Hodgkin lymphoma
66 (50)
65 (50)
2.40
1.50–3.85
< .001
Leukemia
40 (49)
41 (51)
2.31
1.34–3.97
0.003
Treatment modality, n (%)
Minimal surgery
52 (30)
123 (70)
1.0
1.0
Surgery and/or radiotherapy
50 (40)
76 (60)
1.56
0.96–2.52
0.072
1.74
0.99–3.05
0.056
Systemic treatment only
54 (48)
59 (52)
2.17
1.33–3.54
0.002
1.81
0.99–3.30
0.053
Systemic treatment with surgery and/or radiotherapy
217 (53)
192 (47)
2.67
1.83–3.90
< .001
2.18
1.29–3.68
0.004
Number of late effectsb, n (%)
0
111 (34)
217 (66)
1.0
1.0
1–2
97 (46)
116 (55)
1.64
1.15–2.33
0.006
1.03
0.66–1.61
0.885
3–4
84 (58)
60 (42)
2.74
1.83–4.09
< .001
1.55
0.94–2.55
0.086
≥ 5
77 (58)
55 (42)
2.74
1.81–4.14
< .001
1.23
0.71–2.11
0.464
Chronic fatigue, n (%)
No
235 (38)
381 (62)
1.0
1.0
Yes
136 (68)
63 (32)
3.5
2.49–4.92
< .001
2.14
1.45–3.17
< .001
HADS-Ac score, mean (SD)
5.8 (4.0)
3.9 (3.4)
1.15
1.10–1.19
< .001
1.10
1.06–1.16
< .001
PHQ-9d score, mean (SD)
7.2 (5.3)
4.1 (4.0)
1.16
1.12–1.20
< .001
Lifestyle variables, n (%)
Inactivee
No
174 (40)
264 (60)
1.0
1.0
Yes
190 (52)
173 (48)
1.67
1.26–2.21
< .001
1.59
1.16–2.18
.004
BMI ≥ 30 kg/m2
No
283 (42)
392 (58)
1.0
1.0
Yes
78 (59)
54 (41)
2.00
1.37–2.92
< .001
1.86
1.22–2.84
.004
OR odds ratio, aOR adjusted odds ratio, SD standard deviation, BMI body mass index
Numbers may not add up to 823 because of missing data and percentages may not add up to 100 because of rounding
aSocio-economic status is calculated by merging marital status (living as a couple versus not) and education (high level versus low level and work situation (within work force/being a student versus not). If the participants lived as a couple, had a high level of education, and were within work force/being a student, or if they fulfilled two of these, they were categorized into a high socio-economic status group. If the participants were not living as a couple, had a low level of education, and were not within work force/not being a student, or if they fulfilled two of these, they were categorized into the low socio-economic status group
bNumber of late effects included the following: hormonal changes, reduced fertility, cardiovascular diseases, lung problems, problems of dental health, problems with memory and concentration, problems with hearing, muscular cramps, nerve pains, numbness of hands/feet, sexual problems, osteoporosis, lymphedema, and radiation injuries (no/yes) summarized for each participant and categorized into participants with 0, 1–2, 3–4, and ≥ 5. Chronic fatigue and psychological reactions were excluded from the list of late effects
dPHQ-9 = The Patient Health Questionnaire-9. Increasing scores imply worse symptoms. Not included in multivariate analyses, because of high correlation to fatigue
eInactive defined as not meeting the PA guidelines of at least 150 min of moderate intensity, 75 min high intensity, or an equivalent combination of moderate and high intensity PA per week
Bold: P value < .05
Table 3
Proportion of YACSs with information needs on diet and characteristics of YACSs with this information need
Dietary advice (n = 843)
Univariate analyses
Multivariable analyses
Variables
Yes (n = 414)
No, need (n = 429)
OR
95% CI
P value
aOR
95% CI
P value
Sex, n (%)
Female
300 (48)
330 (52)
1.00
Male
114 (54)
99 (47)
1.27
0.93–1.73
0.137
Age at survey 2 categories, n (%)
≥ 50
146 (43)
197 (57)
1.00
1.0
< 50
268 (54)
232 (46)
1.56
1.18–2.06
0.002
1.20
.81–1.79
Socio-economic statusa, n (%)
High
325 (48)
358 (52)
1.00
Low
84 (55)
68 (45)
1.36
0.96–1.94
0.087
Cancer-related variables and late effects
Years since diagnosis
5–10 years
161 (58)
118 (42)
1.00
1.00
11–20 years
169 (46)
199 (54)
0.62
0.46–0.85
0.003
0.73
0.49–1.09
0.126
21–30 years
84 (43)
112 (57)
0.55
0.38–0.80
0.001
0.77
0.45–1.30
0.328
Diagnoses, n (%)
Malignant melanoma
64 (36)
115 (64)
1.00
Breast cancer
183 (52)
168 (48)
1.96
1.35–2.84
< .001
Colorectal cancer
51 (55)
41 (45)
2.24
1.34–3.73
0.002
Non-Hodgkin lymphoma
70 (52)
65 (48)
1.94
1.23–3.05
0.004
Leukemia
46 (54)
40 (46)
2.07
1.23–3.48
0.006
Treatment modality, n (%)
Minimal surgery
64 (36)
115 (64)
1.0
1.0
Surgery and/or radiotherapy
55 (44)
69 (56)
1.43
0.90–2.29
0.132
1.73
1.0–2.97
0.049
Systemic treatment only
62 (52)
57 (48)
1.95
1.22–3.13
0.005
1.84
1.04–3.27
0.036
Systemic treatment with surgery and/or radiotherapy
233 (55)
188 (45)
2.23
1.55–3.20
< .001
1.94
1.18–3.20
0.009
Number of late effectsb, n (%)
0
130 (40)
196 (60)
1.0
1.0
1–2
105 (48)
114 (52)
1.39
0.98–1.96
0.063
0.87
0.56–1.33
0.508
3–4
84 (56)
66 (44)
1.92
1.30–2.84
0.001
1.11
0.68–1.81
0.669
≥ 5
89 (64)
51 (36)
2.63
1.75–3.96
< .001
1.20
0.71–2.03
0.502
Chronic fatigue
No
264 (42)
361 (58)
1.0
1.0
Yes
145 (70)
62 (30)
3.20
2.28–4.48
< .001
2.09
1.42–3.08
< .001
HADS-Ac score
5.7 (3.9)
3.9 (3.5)
1.14
1.10–1.18
< .001
1.10
1.05–1.15
< .001
PHQ-9d score
7.0 (5.2)
4.1 (4.1)
1.14
1.11–1.18
< .001
Lifestyle variables, n (%)
Inactivee
No
202 (45)
249 (55)
1.0
1.0
Yes
203 (55)
167 (45)
1.50
1.14–1.98
0.004
1.41
1.04–1.92
.027
BMI ≥ 30 kg/m2
No
321 (46)
372 (54)
1.0
1.0
Yes
82 (61)
52 (39)
1.83
1.25–2.67
0.002
1.69
1.11–2.57
.014
OR odds ratio, aOR adjusted odds ratio, SD standard deviation, BMI body mass index
Numbers may not add up to 843 because of missing data and percentages may not add up to 100 because of rounding
aSocio-economic status is calculated by merging marital status (living as a couple versus not) and education (high level versus low level and work situation (within work force/being a student versus not). If the participants lived as a couple, had a high level of education, and were within work force/being a student, or if they fulfilled two of these, they were categorized into a high socio-economic status group. If the participants were not living as a couple, had a low level of education, and were not within work force/not being a student, or if they fulfilled two of these, they were categorized into the low socio-economic status group
bNumber of late effects included the following: hormonal changes, reduced fertility, cardiovascular diseases, lung problems, problems of dental health, problems with memory and concentration, problems with hearing, muscular cramps, nerve pains, numbness of hands/feet, sexual problems, osteoporosis, lymphedema, and radiation injuries (no/yes) summarized for each participant and categorized into participants with 0, 1–2, 3–4, and ≥ 5. Chronic fatigue and psychological reactions were excluded from the list of late effects
dPHQ-9 = The Patient Health Questionnaire-9. Increasing scores imply worse symptoms. Not included in multivariate analyses, because of high correlation to fatigue
eInactive defined as not meeting the PA guidelines of at least 150 min of moderate intensity, 75 min high intensity, or an equivalent combination of moderate and high intensity PA per week
Bold: P value < .05
Rehabilitation
Multivariable logistic regression analysis showed that YACSs who had received more than minimal surgery for MM were more likely to have a need for information about rehabilitation services (Table 4). Those who reported ≥ 3 late effects were also more likely to have need for information on rehabilitation services than those reporting no late effects (Table 4). YACSs who reported chronic fatigue, who had increasing symptoms of anxiety, or who were obese were also more likely to want such information compared to those without these characteristics (Table 4).
Table 4
Proportion of YACSs of information needs on rehabilitation services and characteristics of YACSs with this information need
Information needs of available rehabilitation services (n = 862)
Univariate analyses
Multivariable analyses
Variables
Yes (n = 437)
No, need (n = 425)
OR
95% CI
P value
aOR
95% CI
P value
Sex, n (%)
Female
325 (51)
312 (49)
1.0
Male
112 (50)
113 (50)
0.95
0.70–1.29
0.749
Age at survey 2 categories, n (%)
1.0
≥ 50
157 (45)
194 (55)
1.0
1.05
.68–1.61
.822
< 50
280 (55)
231 (45)
1.50
1.14–1.97
0.004
Socio-economic statusa, n (%)
High
338 (48)
363 (52)
1.0
1.0
Low
98 (63)
57 (37)
1.85
1.29–2.64
0.001
1.35
0.85–2.14
0.209
Cancer-related variables and late effects
Years since diagnosis
5–10 years
166 (58)
121 (42)
1.00
1.00
11–20 years
187 (50)
184 (50)
0.62
0.46–0.85
0.003
0.96
0.63–1.46
0.842
21–30 years
84 (41)
120 (59)
0.55
0.38–0.80
0.001
0.73
0.41–1.29
0.280
Diagnoses, n (%)
Malignant melanoma
41 (23)
140 (77)
1.00
Breast cancer
213 (61)
137 (39)
5.31
3.53–7.99
< .001
Colorectal cancer
52 (52)
49 (49)
3.62
2.15–6.11
< .001
Non-Hodgkin lymphoma
86 (59)
60 (41)
4.89
3.03–7.91
< .001
Leukemia
45 (54)
39 (46)
3.94
2.27–6.84
< .001
Treatment modality, n (%)
Minimal surgery
41 (23)
140 (77)
1.0
1.0
Surgery and/or radiotherapy
57 (43)
75 (57)
2.60
1.59–4.24
< .001
2.50
1.40–4.47
0.002
Systemic treatment only
69 (57)
52 (43)
4.53
2.75–7.48
< .001
3.45
1.85–6.42
< .001
Systemic treatment with surgery and/or radiotherapy
270 (63)
158 (37)
5.84
3.91–8.70
< .001
3.63
2.10–6.27
< .001
Number of late effectsb, n (%)
0
110 (32)
231 (68)
1.0
1.0
1–2
118 (53)
104 (47)
2.38
1.68–3.37
< .001
1.35
0.87–2.09
0.186
3–4
93 (60)
62 (40)
3.15
2.13–4.67
< .001
1.69
1.03–2.77
0.037
≥ 5
113 (81)
26 (19)
9.13
5.63–14.79
< .001
3.85
2.12–6.97
< .001
Chronic fatigue
No
265 (42)
370 (58)
1.0
1.0
Yes
167 (77)
51 (23)
4.57
3.22–6.49
< .001
2.33
1.53–3.53
< .001
HADS-Ac score, mean (SD)
5.9 (4.1)
3.7 (3.1)
1.18
1.14–1.23
< .001
1.15
1.09–1.20
< .001
PHQ-9 scored, mean (SD)
7.5 (5.2)
3.5 (3.4)
1.25
1.20–1.30
< .001
Lifestyle variables, n (%)
Inactivee
No
209 (46)
243 (54)
1.0
1.0
Yes
216 (56)
170 (44)
1.48
1.12–1.94
0.005
1.38
.99–1.90
0.055
Obese (BMI ≥ 30 kg/m2)
No
347 (49)
363 (51)
1.0
1.0
Yes
82 (59)
56 (41)
1.53
1.06–2.22
0.024
1.58
1.01–2.46
.045
OR odds ratio, aOR adjusted odds ratio, SD standard deviation, BMI body mass index
Numbers may not add up to 862 because of missing values and percentages may not add up to 100 because of rounding
aSocio-economic status is calculated by merging marital status (living as a couple versus not) and education (high level versus low level and work situation (within work force/being a student versus not). If the participants lived as a couple, had a high level of education, and were within work force/being a student, or if they fulfilled two of these, they were categorized into a high socio-economic status group. If the participants were not living as a couple, had a low level of education, and were not within work force/not being a student, or if they fulfilled two of these, they were categorized into the low socio-economic status group
bNumber of late effects included the following: hormonal changes, reduced fertility, cardiovascular diseases, lung problems, problems of dental health, problems with memory and concentration, problems with hearing, muscular cramps, nerve pains, numbness of hands/feet, sexual problems, osteoporosis, lymphedema, and radiation injuries (no/yes) summarized for each participant and categorized into participants with 0, 1–2, 3–4, and ≥ 5. Chronic fatigue and psychological reactions were excluded from the list of late effects
dPHQ-9 = The Patient Health Questionnaire-9. Increasing scores imply worse symptoms. Not included in multivariate analyses, because of high correlation to fatigue
eInactive defined as not meeting the PA guidelines of at least 150 min of moderate intensity, 75 min high intensity, or an equivalent combination of moderate and high intensity PA per week
Bold: P value < .05
Discussion
Main findings
This large population-based study shows that a significant proportion of long-term YACSs have unmet information needs regarding lifestyle and rehabilitation services more than a decade beyond diagnosis and treatment. Survivors who have received treatments beyond minimal surgery, who have multiple late effects including chronic fatigue and mental distress, and who are physically inactive or obese also have higher information needs than those without these characteristics according to our results.
Our study expand knowledge about information needs in long-term YACSs, an understudied population with regard to survivorship compared to other age groups of cancer survivors [21]. To our knowledge, only one study has previously addressed information needs in long-term YACSs (> 5 years post-diagnosis). Christen et al. found that > 70% of long-term YACSs had information needs on late effects and follow-up; however, information needs on lifestyle and rehabilitation were not examined [10]. Zebrack found that more than half of 879 YACSs treated for different types of cancers on average 4.7 years post-diagnosis had unmet information need about diet and exercise [12], while McCarthy et al. showed that a third of AYA survivors within 2 years from diagnosis reported unmet information needs on diet and about staying physically fit [11]. Our study adds that these matters remain important for YACSs many years after diagnosis and treatment.
Keegan et al. suggested that information needs may increase throughout the post-treatment continuum [9]. In our study sample, needs for information about lifestyle and rehabilitation were similar among YACSs > 10 years from diagnosis compared to YACSs 5–10 years from diagnosis. This may indicate that YACSs, possibly due to long-term late effects, are unsure of what they should do to have a healthy lifestyle even several years after diagnosis.
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More than 60% of YACSs who had received systemic treatment with surgery and/or radiotherapy needed information on rehabilitation services, compared to less than 25% of those who had undergone minimal surgery. In contrast, Keegan et al. did not demonstrate difference between treatment groups in relation to unmet information needs among adolescent and YACSs in a median of 11 months from diagnosis [9].
As expected, participants who reported five or more late effects were almost four times more likely to report need for information about rehabilitation services than those without late effects, but were not more likely to report need for information on physical activity and diet. This may indicate that YACSs with high burden of late effects call for multidisciplinary services, rather than advice on single items such as physical activity and nutrition. On the other hand, participants with chronic fatigue were twice as likely to report a need for all three types of information compared to those without chronic fatigue. We are not aware of other studies that have investigated the association between late effects and unmet information needs among long-term YACSs; however, Zebrack found that survivors who reported excellent/very good health status were less likely to report unmet need for information on exercise, diet, and programs on camps/retreats than those who reported fair and poor health status [12]. Moreover, Keegan et al. observed that survivors with health or emotional problems that interfere with their activities or survivors with three or more symptoms were more likely to report unmet information needs [9]. Previous findings from the NOR-CAYACS study show that less than half of the participants were physically active and less than 10% fulfilled the public diet recommendation regarding 5 a day (five fruit or vegetables per day) [22]. The reason why a large proportion of YACSs have an unhealthy lifestyle might be lack of specific knowledge of what kind of activities they should perform and what they should eat. We also found that the need for information about physical activity and diet was significantly higher among the physically inactive and obese, suggesting that these subgroups are motivated for lifestyle change.
In addition to YACSs, health care personnel must be informed about late effects and management of these, including lifestyle and rehabilitation services, to enable YACSs to make informed decisions about their lifestyle behavior and participation in rehabilitation programs. As such, the results of our study may help health care personnel to identify subgroups of YACSs in need of lifestyle advice and rehabilitation services. In general, a better organization of survivorship care with more information to the survivors and improved better communication between health care personnel in hospitals, general practitioners, and rehabilitation institutions might have a positive impact on the level of knowledge and thus potentially the long-term health of the cancer survivors.
Limitations and strengths
A limitation of the study is the modest, yet increasingly common, response rate. We cannot rule out that non-responders have other information needs than the responders. However, previous analyses based on information of the whole population provided by the CRN found low risk of non-response bias in the NOR-CAYACS cohort [13]. Our findings suggest several associations between information needs and health outcomes, but the cross-sectional design prevents us from exploring causal relationships. Measuring information needs with a single-item question provides a general picture on the frequency of YACSs who have need for information, but do not provide detailed information on what kind of physical activity and exercise and/or dietary advice they are in need of (general or specific advice, home-based or supervised programs, individual or in groups, etc.), what type of rehabilitation the participants want (in- or out-patients program, which components, duration, etc.), how the information should be delivered (written, oral, digital, or on paper, internet, telephone, etc.), and when it should be delivered. As far as we know, this shorter assessment has not been validated against longer assessments. However, other studies measuring information needs among YACSs (see overview in Supplementary File; e.g., McCarthy et al. [11] and Christen et al. [10]) use such single-item questions to investigate the prevalence of specific information needs. A major strength of the study is its large nationwide, population-based sample of unselected long-term YACSs.
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Conclusion and clinical implications
Our study shows that a large proportion of YACSs report information needs regarding lifestyle and rehabilitation several years after treatment. Survivors diagnosed 5–10 years ago, who have undergone treatments other than minimal surgery, who have several late effects, in particular chronic fatigue and mental distress, and who are inactive and obese report higher needs than those without these conditions.
Health care personnel, both in a hospital setting and in general practice, who meet long-term YACSs should be prepared to provide lifestyle advice and information about them and refer to rehabilitation services if needed. Providing such information will meet the needs of many YACSs and hopefully enable them to make healthy lifestyle choices, potentially improving their long-term health.
Declarations
Ethics approval
The NOR-CAYACS study was approved by the Regional Committee for Medical Research Ethics (2015/232), the Norwegian Data Protection Authority (15/00395–2/CGN), and the Norwegian Cancer Registry and the Data Protection Officer at Oslo University. All procedures were performed in accordance with the ethical standards of the national and institutional research committee and with the 1964 Declaration of Helsinki and its later amendments.
Consent to participate
Informed consent was obtained from all individual participants included in the study.
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Conflict of interest
The authors declare no competing interests.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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