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3In very old and/or frail older people living in long-term care facilities, physical inactivity negatively affects activities of daily living. The main reason to assess older adults' perceived fitness is to establish the relation with their beliefs about their ability to perform physical activity adjusted to daily tasks. The Self-Assessment of Physical Fitness scale was developed to address these needs. The aim of this study was to estimate the test-retest reliability and construct validity of the scale. 76 elderly people (M age = 86.0 yr., SD = 6.3) completed the test. Cronbach's a was .71. One-week test-retest reliability ICC's ranged from .66 (SAPF aerobic endurance and SAPF balance) to .70 (SAPF sum score). Concurrent validity with the Groningen Fitness Test for the Elderly was fair to moderate. Despite the limited number of participants (N = 76), results suggest that the scale may be useful as an assessment of perceived fitness in older adults.
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Children with Marfan (MFS) and Loeys-Dietz syndrome (LDS) report limitations in physical activities, sports, school, leisure, and work participation in daily life. This observational, cross-sectional, multicenter study explores associations between physical fitness and cardiovascular parameters, systemic manifestations, fatigue, and pain in children with MFS and LDS. Forty-two participants, aged 6–18 years (mean (SD) 11.5(3.7)), diagnosed with MFS (n = 36) or LDS (n = 6), were enrolled. Physical fitness was evaluated using the Fitkids Treadmill Test’s time to exhaustion (TTE) outcome measure. Cardiovascular parameters (e.g., echocardiographic parameters, aortic surgery, cardiovascular medication) and systemic manifestations (systemic score of the revised Ghent criteria) were collected. Pain was obtained by visual analog scale. Fatigue was evaluated by PROMIS® Fatigue-10a-Pediatric-v2.0-short-form and PROMIS® Fatigue-10a-Parent-Proxy-v2.0-short-form. Multivariate linear regression analyses explored associations between physical fitness (dependent variable) and independent variables that emerged from the univariate linear regression analyses (criterion p <.05). The total group (MFS and LDS) and the MFS subgroup scored below norms on physical fitness TTE Z-score (mean (SD) −3.1 (2.9); −3.0 (3.0), respectively). Univariate analyses showed associations between TTE Z-score aortic surgery, fatigue, and pain (criterion p <.05). Multivariate analyses showed an association between physical fitness and pediatric self-reported fatigue that explained 48%; 49%, respectively, of TTE Z-score variance (F (1,18) = 18.6, p ≤.001, r2 =.48; F (1,15) = 16,3, p =.01, r2 =.49, respectively). Conclusions: Physical fitness is low in children with MFS or LDS and associated with self-reported fatigue. Our findings emphasize the potential of standardized and tailored exercise programs to improve physical fitness and reduce fatigue, ultimately enhancing the physical activity and sports, school, leisure, and work participation of children with MFS and LDS. (Table presented.)
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INTRODUCTION: An optimal relative dose intensity (RDI) of adjuvant chemotherapy is associated with better survival in patients with breast cancer. Little is known about the role of physical fitness in attaining an adequate RDI in patients with early stage breast cancer. We investigated the association between pre-treatment physical fitness and RDI in this population.
METHODS: We pooled individual patient data from two randomized exercise trials that studied exercise programs in early breast cancer: the PACES (n = 230) and the PACT (N = 204) study. Logistic regression models were used to evaluate the association between pre-treatment fitness and achieving an optimal RDI (≥85%). In addition, we added an interaction term to the model to explore the potential moderating effect of participating in an exercise program.
RESULTS: Data were available for 419 patients (mean age at diagnosis 50.0 ± 8.6 years). In the total sample, lower pre-treatment physical fitness was associated with significantly lower odds of achieving ≥85% RDI: age-adjusted OR 0.66 [95%CI 0.46-0.94]. In patients allocated to the supervised exercise intervention during chemotherapy (n = 173), the association between pretreatment physical fitness and RDI was almost completely mitigated (OR 0.95 (95%CI 0.54-1.56)), while it was more pronounced in patients who received care as usual (n = 172, OR 0.31 (95%CI 0.13-0.63) pinteraction: 0.022).
CONCLUSION: Early stage breast cancer patients with relatively lower levels of pretreatment physical fitness have lower odds of achieving an optimal dose of chemotherapy. Given that physical fitness is modifiable and our results suggest that following a moderate-to-high intensity exercise training during chemotherapy could improve treatment completion, clinicians should not refrain from referring patients to supportive exercise programs because of low fitness.
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Youth with chronic diseases or physical disabilities (CDPD) often show reduced fitness and physical activity (PA) levels and participate less in organized sports compared with healthy peers. The purpose of this study was to examine the associations between participation in sports and health-related fitness and PA in youth with CDPD. A total of 163 subjects (mean age 14 years; range 8-19 years) with CDPD were included in this cross-sectional study, with 81 participating in organized sports and 82 not. Subjects were recruited between October 2014 and November 2016. Aerobic and anaerobic fitness, agility, and muscle strength were assessed in the laboratory, whereas PA was monitored in daily life using accelerometry during 1 week. Linear regression analyses were used to assess the associations of sports participation (independent variable) with health-related fitness and PA (dependent variables). Results show that youth with CDPD participating in organized sports 2 times a week performed better on all outcome measures. They reached a higher peak oxygen uptake (difference of 4.9 ml O2·kg-1·min-1, P = 0.001) compared with their peers not participating in sports. Also, anaerobic fitness, agility, muscle strength, and PA were all positively associated with sports participation. Moreover, the association between sports participation and aerobic fitness was mediated by PA for 31% (P = 0.045). In conclusion, participation in sports is associated with both higher levels of PA and health-related fitness in youth with CDPD. Promotion and stimulation of participation in sports seems a good way to promote health-related fitness as well as a healthy active lifestyle in youth with CDPD.
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Objective: To investigate the effects of a school-based once-a-week sports program on physical fitness, physical activity, and cardiometabolic health in children and adolescents with a physical disability. Methods: This controlled clinical trial included 71 children and adolescents from four schools for special education [mean age 13.7 (2.9) years, range 8–19, 55% boys]. Participants had various chronic health conditions including cerebral palsy (37%), other neuromuscular (44%), metabolic (8%), musculoskeletal (7%), and cardiovascular (4%) disorders. Before recruitment and based on the presence of school-based sports, schools were assigned as sport or control group. School-based sports were initiated and provided by motivated experienced physical educators. The sport group (n = 31) participated in a once-a-week school-based sports program for 6 months, which included team sports. The control group (n = 40) followed the regular curriculum. Anaerobic performance was assessed by the Muscle Power Sprint Test. Secondary outcome measures included aerobic performance, VO2 peak, strength, physical activity, blood pressure, arterial stiffness, body composition, and the metabolic profile. Results: A significant improvement of 16% in favor of the sport group was found for anaerobic performance (p = 0.003). In addition, the sport group lost 2.8% more fat mass compared to the control group (p = 0.007). No changes were found for aerobic performance, VO2 peak, physical activity, blood pressure, arterial stiffness, and the metabolic profile. Conclusion: Anaerobic performance and fat mass improved following a school-based sports program. These effects are promising for long-term fitness and health promotion, because sports sessions at school eliminate certain barriers for sports participation and adding a once-a-week sports session showed already positive effects for 6 months.
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Background: Esophageal cancer and curative treatment have a significant impact on the physical fitness of patients. Knowledge about the course of physical fitness during neoadjuvant therapy and esophagectomy is helpful to determine the needs for interventions during and after curative treatment. This study aims to review the current evidence on the impact of curative treatment on the physical fitness of patients with esophageal cancer. Methods: A systematic literature search of PubMed, Embase, Cinahl and the Cochrane Library was conducted up to March 29, 2021. We included observational studies investigating the change of physical fitness (including exercise capacity, muscle strength, physical activity and activities of daily living) from pre-to post-neoadjuvant therapy and/or from pre-to post-esophagectomy. Quality of the studies was assessed and a meta-analysis was performed using standardized mean differences. Results: Twenty-seven articles were included. After neoadjuvant therapy, physical fitness decreased significantly. In the first three months after surgery, physical fitness was also significantly decreased compared to preoperative values. Subgroup analysis showed a restore in exercise capacity three months after surgery in patients who followed an exercise program. Six months after surgery, there was limited evidence that exercise capacity restored to preoperative values. Conclusion: Curative treatment seems to result in a decrease of physical fitness in patients with esophageal cancer, up to three months postoperatively. Six months postoperatively, results were conflicting. In patients who followed a pre- or postoperative exercise program, the postoperative impact of curative treatment seems to be less.
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Introduction: This study evaluates the course of physical fitness and nutritional status during curative therapy for esophageal cancer, after implementation of a prehabilitation program. Additionally, the impact of baseline physical fitness level and severe postoperative complications on the course of individual patients were explored. Materials and methods: This multicenter, observational cohort study included patients with esophageal cancer following curative treatment. Prehabilitation, consisting of supervised exercise training and nutritional counseling was offered as standard care to patients after neoadjuvant therapy, prior to surgery. Primary outcome measures included change of exercise capacity, hand grip strength, self-reported physical functioning, Body Mass Index, and malnutrition risk from diagnosis to 2–6 months postoperatively. Analyses over time were performed using linear mixed models, and linear mixed regression models to investigate the impact of baseline level and severe postoperative complications. Results: Hundred sixty-eight patients were included (mean age 65.9 ± 8.6 years; 78.0 % male). All parameters (except for malnutrition risk) showed a decline during neoadjuvant therapy (p < .05), an improvement during prehabilitation (p < .005) and a decline postoperatively (p < .001), with a high heterogeneity between patients. Change in the outcomes from baseline to postoperatively was not different for patients with or without a severe complication. Better baseline physical fitness and nutritional status were significantly associated with a greater decline postoperatively (p < .001). Conclusion: This study demonstrates a notable decline during neoadjuvant therapy, that fully recovers during prehabilitation, and a subsequent long lasting decline postoperatively. The heterogeneity in the course of physical fitness and nutritional status underlines the importance of individualized monitoring.
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The goal of this cross-sectional study was to further explore the relationships between motor competence, physical activity, perceived motor competence, physical fitness and weight status in different age categories of Dutch primary school children. Participants were 2068 children aged 4 to 13 years old, divided over 9 age groups. During physical education classes, they completed the 4-Skills Test, a physical activity questionnaire, versions of the Self-Perception Profile for Children, Eurofit test and anthropometry measurements. Results show that all five factors included in the analyses are related to each other and that a tipping point exists at which relations emerge or strengthen. Physical fitness is related to both motor competence and physical activity and these relationships strengthen with age. A relationship between body mass index and the other four factors emerges in middle childhood. Interestingly, at a young age, motor competence and perceived motor competence are weakly related, but neither one of these have a relation with physical activity. In middle childhood, both motor competence and perceived motor competence are related to physical activity. Our findings show that children in late childhood who have higher perceived motor competence are also more physically active, have higher physical fitness, higher motor competence and lower body mass index. Our results indicate that targeting motor competence at a young age might be a feasible way to ensure continued participation in physical activities throughout childhood and adolescence.
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Objectives: Health problems in patients with heritable connective tissue disorders (HCTD) are diverse and complex and might lead to lower physical activity (PA) and physical fitness (PF). This study aimed to investigate the PA and PF of children with heritable connective tissue disorders (HCTD).
Methods: PA was assessed using an accelerometer-based activity monitor (ActivPAL) and the mobility subscale of the Pediatric Evaluation of Disability Inventory Computer Adaptive Test (PEDI-CAT). PF was measured in terms of cardiovascular endurance using the Fitkids Treadmill Test (FTT); maximal hand grip strength, using hand grip dynamometry (HGD) as an indicator of muscle strength; and motor proficiency, using the Bruininks-Oseretsky Test of Motor Proficiency-2 (BOTMP-2).
Results: A total of 56 children, with a median age of 11.6 (interquartile range [IQR], 8.8–15.8) years, diagnosed with Marfan syndrome (MFS), n = 37, Loeys-Dietz syndrome (LDS), n = 6, and genetically confirmed Ehlers-Danlos (EDS) syndromes, n = 13 (including classical EDS n = 10, vascular EDS n = 1, dermatosparaxis EDS n = 1, arthrochalasia EDS n = 1), participated. Regarding PA, children with HCTD were active for 4.5 (IQR 3.5–5.2) hours/day, spent 9.2 (IQR 7.6–10.4) hours/day sedentary, slept 11.2 (IQR 9.5–11.5) hours/day, and performed 8,351.7 (IQR 6,456.9–1,0484.6) steps/day. They scored below average (mean (standard deviation [SD]) z-score −1.4 (1.6)) on the PEDI-CAT mobility subscale. Regarding PF, children with HCTD scored well below average on the FFT (mean (SD) z-score −3.3 (3.2)) and below average on the HGD (mean (SD) z-score −1.1 (1.2)) compared to normative data. Contradictory, the BOTMP-2 score was classified as average (mean (SD) z-score.02 (.98)). Moderate positive correlations were found between PA and PF (r(39) = .378, p < .001). Moderately sized negative correlations were found between pain intensity and fatigue and time spent actively (r(35) = .408, p < .001 and r(24) = .395 p < .001, respectively).
Conclusion: This study is the first to demonstrate reduced PA and PF in children with HCTD. PF was moderately positively correlated with PA and negatively correlated with pain intensity and fatigue. Reduced cardiovascular endurance, muscle strength, and deconditioning, combined with disorder-specific cardiovascular and musculoskeletal features, are hypothesized to be causal. Identifying the limitations in PA and PF provides a starting point for tailor-made interventions.
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Background: Cardiovascular risk factors are associated with physical fitness and, to a lesser extent, physical activity. Lifestyle interventions directed at enhancing physical fitness in order to decrease the risk of cardiovascular diseases should be extended. To enable the development of effective lifestyle interventions for people with cardiovascular risk factors, we investigated motivational, social-cognitive determinants derived from the Theory of Planned Behavior (TPB) and other relevant social psychological theories, next to physical activity and physical fitness. Methods: In the cross-sectional Utrecht Police Lifestyle Intervention Fitness and Training (UP-LIFT) study, 1298 employees (aged 18 to 62) were asked to complete online questionnaires regarding social-cognitive variables and physical activity. Cardiovascular risk factors and physical fitness (peak VO2) were measured. Results: For people with one or more cardiovascular risk factors (78.7% of the total population), social-cognitive variables accounted for 39% (p < .001) of the variance in the intention to engage in physical activity for 60 minutes every day. Important correlates of intention to engage in physical activity were attitude (beta = .225, p < .001), self-efficacy (beta = .271, p < .001), descriptive norm (beta = .172, p < .001) and barriers (beta = -.169, p < .01). Social-cognitive variables accounted for 52% (p < .001) of the variance in physical active behaviour (being physical active for 60 minutes every day). The intention to engage in physical activity (beta = .469, p < .001) and self-efficacy (beta = .243, p < .001) were, in turn, important correlates of physical active behavior. In addition to the prediction of intention to engage in physical activity and physical active behavior, we explored the impact of the intensity of physical activity. The intentsity of physical activity was only significantly related to physical active behavior (beta = .253, p < .01, R2 = .06, p < .001). An important goal of our study was to investigate the relationship between physical fitness, the intensity of physical activity and social-cognitive variables. Physical fitness (R2 = .23, p < .001) was positively associated with physical active behavior (beta = .180, p < .01), self-efficacy (beta = .180, p < .01) and the intensity of physical activity (beta = .238, p < .01). For people with one or more cardiovascular risk factors, 39.9% had positive intentions to engage in physical activity and were also physically active, and 10.5% had a low intentions but were physically active. 37.7% had low intentions and were physically inactive, and about 11.9% had high intentions but were physically inactive. Conclusions: This study contributes to our ability to optimize cardiovascular risk profiles by demonstrating an important association between physical fitness and social-cognitive variables. Physical fitness can be predicted by physical active behavior as well as by self-efficacy and the intensity of physical activity, and the latter by physical active behavior. Physical active behavior can be predicted by intention, self-efficacy, descriptive norms and barriers. Intention to engage in physical activity by attitude, self-efficacy, descriptive norms and barriers. An important input for lifestyle
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