Multimorbidity and Functional Limitations in Cancer Survivors’ Health: an Evidence from CHARLS
DOI:http://doi.org/10.65281/669324
Jiafeng Jin, RN1*, Xiaohong Liu, RN2*, Beinuo Cao, RN1#
1Department of Nursing, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210000, China
2Department of Spleen and Stomach, Guangzhou University of Chinese Medicine Shenzhen Hospital (Futian), Shenzhen, China
#: Correspondence: Beinuo Cao, RN, Department of Nursing, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, 210000, China (beinuocao6@126.com)
*These authors contributed equally: J.F.J., X.H.L.
Abstract
This study of 77 Chinese cancer survivors examined how multimorbidity affects well-being. It found that functional limitations—specifically instrumental activities of daily living (IADL) limitations and reduced handgrip strength—directly predicted lower life satisfaction and poorer self-rated health. While age intensified the effect of chronic diseases on these functional declines, functional limitations did not mediate the overall link between total disease burden and well-being. The results indicate that functional status, not just the number of diseases, is a primary driver of reduced well-being, with older, multimorbid survivors being particularly vulnerable to functional decline.
Introduction
The growing number of cancer survivors often experience multimorbidity, which significantly affects their physical function and quality of life1. Understanding how chronic diseases and functional limitations—such as activities of daily living (ADL), instrumental activities of daily living (IADL), walking speed, and handgrip strength—impact life satisfaction is essential for nursing care2,3. This study examines their direct effects, investigates IADL and handgrip strength as mediators, and considers age, gender, exercise, and body mass index (BMI) as potential moderators. The findings aim to support targeted nursing interventions for this population.
Methods
This cross-sectional study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative survey of middle-aged and elderly Chinese residents4. Data from 96,628 respondents across five waves (2011-2020) were initially considered. The final sample comprised 77 cancer survivors, aged 45 or older, who self-reported a cancer diagnosis and had complete data for all key variables. For individuals participating in multiple waves, only their initial survey data were included (Figure 1).
The study measured life satisfaction and self-rated health using single 5-point items. Key predictors included the total number of chronic diseases and physical function indicators (IADL, ADL, handgrip strength, walking speed). Covariates covered sociodemographic factors, health behaviors, and BMI. Analyses included descriptive statistics, correlations, and multiple linear regression. Mediation was tested via bootstrapping to see if IADL or handgrip strength mediated between disease burden and life satisfaction. Moderated mediation analysis assessed age and gender as potential moderators. Self-rated health was analyzed with ordinal logistic regression. All analyses used SPSS 27.0, with significance at p < 0.05.
Results
The study included 77 cancer survivors, with a mean age of 66.3 years, predominantly male (55.8%) and urban (57.1%). Participants reported an average of 2.9 chronic diseases. Mean life satisfaction was 3.1, and 84.4% rated their health as “general,” “bad,” or “very bad” (Table 1). Higher education correlated with better functional status, self-rated health, and life satisfaction, and with fewer chronic conditions. Chronic disease burden was strongly associated with ADL/IADL limitations and poorer self-rated health. ADL and IADL limitations correlated negatively with both health and life satisfaction, whereas greater handgrip strength and faster walking speed correlated positively. Self-rated health and life satisfaction were strongly interrelated.
The results of the multiple linear regression analysis for factors associated with life satisfaction are presented below. Chronic disease burden (β = 0.018, p = 0.681, 95% CI: –0.068, 0.103) and limitations in basic activities of daily living (ADL; β = 0.196, p = 0.135, 95% CI: –0.063, 0.456) were not significantly associated with life satisfaction. In contrast, greater limitations in instrumental activities of daily living (IADL; β = –0.268, p = 0.007, 95% CI: –0.458, –0.077) and higher maximum handgrip strength (MHGS; β = 0.037, p = 0.004, 95% CI: 0.012, 0.061) were significant predictors. Several sociodemographic factors also showed significant associations. Female gender was associated with lower life satisfaction (β = –1.039, p = 0.002, 95% CI: –1.682, –0.397). Older age (β = 0.032, p = 0.043, 95% CI: 0.001, 0.064) and participation in Medicare (β = 1.846, p < 0.001, 95% CI: 0.851, 2.842) were positively associated with life satisfaction, while larger family size had a negative association (β = –0.134, p = 0.030, 95% CI: –0.254, –0.013). Other variables, including walking speed, educational level, marital status, area of residence, exercise habits, BMI, and drinking or smoking status, were not significantly associated with life satisfaction. For self-rated health, regression results showed that chronic disease count (p = 0.041) and IADL difficulties (p = 0.046) were significant negative predictors (Table 2). Other factors, including ADL limitations, MHGS, and demographics, were non-significant. Moderated mediation (Table 3) showed that age strengthened the association between chronic diseases and IADL limitations, but no indirect effects on life satisfaction emerged.
Discussion
The growing population of cancer survivors faces the dual challenges of long-term cancer effects and multimorbidity, underscoring the need for holistic, person-centered care models that promote overall well-being beyond disease management5.This study examined how chronic disease burden influences life satisfaction, focusing on functional limitations as mediators and demographic or lifestyle factors as moderators.
Key findings highlight the central role of physical function. IADL limitations and lower MHGS emerged as direct predictors of reduced life satisfaction, supporting evidence that physical function underpins autonomy and quality of life in aging populations and cancer survivors. From a nursing perspective, these results call for integrating routine functional assessments—such as simple grip-strength tests or brief IADL questionnaires—into oncology care to identify patients at risk and enable timely rehabilitation referrals6.
Contrary to hypotheses, IADL limitations and handgrip strength did not mediate between chronic disease burden and life satisfaction. This indicates that other factors—such as symptom burden, psychological distress, or financial strain—may be more influential7. Age moderated the effect of diseases on IADL, with older, multimorbid survivors being more vulnerable to functional decline. However, this did not lower life satisfaction, possibly due to psychological adaptation or social support. Gender differences also emerged. While the study used robust functional measures, its cross-sectional design and omitted variables like depression limit causality inferences, underscoring the need for longitudinal research8.
These findings support nursing and policy initiatives that prioritize functional assessments and targeted interventions for older survivors with multimorbidity. Integrated geriatric-oncology programs and community-based supportive services are critical to preserving independence and promoting life satisfaction in this growing population9.
Conclusions
This study underscores physical function as a key determinant of life satisfaction in cancer survivors. Older survivors with multimorbidity are especially vulnerable to functional decline, highlighting the need for proactive, person-centered nursing interventions that prioritize functional preservation and address psychosocial influences on well-being.
Ethical Considerations
The original CHARLS study was approved by the Institutional Review Board (IRB) of Peking University (approval number: IRB00001052-11015 for the household survey and IRB00001052-11014 for blood samples). All participants provided written informed consent.
Acknowledgements
The funding for this study was provided by the Shenzhen Natural Science Foundation General Program for Basic Research (No. JCYJ20240813160614019).
Conflicts of Interest
The authors have no conflicts of interest to declare.
References
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Figure 1. Flowchart of Study Participant Selection
Table 1. Baseline characteristics of 77 participants
|
Variables |
N (%) |
Mean (SD) |
|
Gender |
Male: 43 (55.8%), Female: 34 (44.2%) |
|
|
Age (years) |
|
66.3 (6.8) |
|
Educational level completed |
Below primary school: 39 (50.6%), Primary school: 21 (27.3%), Middle school: 9 (11.7%), Above middle school: 8 (10.4%) |
|
|
Area of residence |
Urban: 44 (57.1%), Rural: 33 (42.9%) |
|
|
Marital status |
Married or cohabitated: 64 (83.1%), Unmarried: 13 (16.9%) |
|
|
Family size |
|
3.2 (1.5) |
|
BMI (kg/m²) |
|
18.7 (2.0) |
|
Medicare participation |
Yes: 74 (96.1%), No: 3 (3.9%) |
|
|
Exercise Habits |
Yes: 67 (87.0%), No: 10 (13.0%) |
|
|
Smoking status |
Never smoker: 51 (66.2%), Ever smoker: 17 (22.1%), Current smoker: 9 (11.7%) |
|
|
Drinking status |
Never drinker: 44 (57.1%), Ever drinker: 21 (27.3%), Current drinker: 12 (15.6%) |
|
|
Chronic diseases |
|
2.9 (2.3) |
|
ADL |
|
0.5 (1.2) |
|
IADL |
|
0.8 (1.3) |
|
MHGS (kg) |
|
28.6 (10.3) |
|
Walking speed (m/s) |
|
3.8 (1.6) |
|
Life Satisfaction |
|
3.1 (0.9) |
|
Self-rated health |
Very bad or bad: 31 (40.2%), General: 34 (44.2%), Good or very good: 12 (15.6%) |
|
Table 2. Mediation Analysis of IADL Limitations and Maximum Handgrip Strength on the Relationship Between Chronic Diseases and Life Satisfaction Among Cancer Survivors
|
|
Life Satisfaction |
IADL |
MHGS |
Life Satisfaction |
||||
|
B |
P |
B |
P |
B |
P |
B |
P |
|
|
Constant |
1.448 |
0.260 |
2.019 |
0.279 |
32.241** |
0.005 |
0.769 |
0.560 |
|
Gender |
-0.440* |
0.029 |
-0.024 |
0.933 |
13.299** |
0.000 |
-0.827** |
0.002 |
|
Age |
0.011 |
0.436 |
0.003 |
0.879 |
-0.299* |
0.022 |
0.021 |
0.168 |
|
Educational level completed |
0.080 |
0.437 |
-0.131 |
0.379 |
-0.939 |
0.295 |
0.091 |
0.368 |
|
BMI |
0.030 |
0.252 |
-0.025 |
0.501 |
0.484* |
0.034 |
0.013 |
0.627 |
|
Exercise Habits |
0.385 |
0.190 |
-1.287** |
0.003 |
1.359 |
0.594 |
0.186 |
0.537 |
|
Chronic diseases |
-0.017 |
0.684 |
0.177** |
0.006 |
-0.202 |
0.589 |
0.010 |
0.815 |
|
IADL |
|
|
|
|
|
|
-0.124 |
0.124 |
|
MHGS |
|
|
|
|
|
|
0.029* |
0.033 |
Abbreviations: ADL, activities of daily living; IADL, instrumental activities of daily living; MHGS, maximum handgrip strength; BMI, body mass index; SD, standard deviation.
* P<.05 ** P<.01
Table 3. Moderated Mediation Analysis of the Role of Age in the Relationship Between Chronic Diseases and Life Satisfaction via Functional Limitations
|
|
Life Satisfaction |
IADL |
MHGS |
|
|
P |
P |
P |
|
Constant |
0.004** |
0.374 |
0.000** |
|
Chronic diseases |
0.029* |
0.003** |
0.367 |
|
Age |
0.205 |
|
|
|
Chronic diseases:Age |
0.025* |
|
|
|
IADL |
0.018* |
|
|
|
MHGS |
0.926 |
|
|
‘Chronic diseases:Age’ represents the interaction term for the variables ‘Chronic diseases’ and ‘Age’.
Abbreviations: IADL, instrumental activities of daily living; MHGS, maximum handgrip strength; SE, standard error.
* P<.05 ** P<.01