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Correlations between subscales for participants 40-59 years and 60-75 years 

Correlations between subscales for participants 40-59 years and 60-75 years 

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To derive Australian normative scores for the Functional Assessment of Cancer Therapy-General Population (FACT-GP) and to confirm its factor structure. Quality of life (QoL) data (as measured by the FACT-GP) were collected within the Queensland Cancer Risk Study (QCRS) in 2004. The QCRS explored cancer screening and cancer risk behaviours among 941...

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... 1 displays the measurement model for participants 20-39 years, and Table 3 displays the r 2 and factor loadings for those participants 40-59 and 60-75 years. Table 4 displays the remaining correlations between the subscales for the two older groups, while this information is included in Figure 1 for the youngest age group. Table 5 displays the corresponding raw and T-scores for each subscale and the FACT-GP summary score, which can be used for comparison with patients' results. ...

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... Higher scores reflect better QoL. T-scores are generated and compared to Australian general population norms (M = 50, SD = 10) for each domain, with patients > 1SD below the mean considered impaired (Janda et al., 2009). The FACT-BMT is considered a valid and reliable measure of HSCT patients QoL (a = .86 ...
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... Norm-adjusted t-scores were calculated to facilitate the interpretation of subscale scores. Normative data were derived from a large Australian general population sample, and a two-point between-groups difference in raw scores was interpreted as clinically meaningful [12]. General psychological distress ...
... Unlike previous studies reporting on wellbeing measured by the FACT-G, we used appropriate population-based norms to support the meaningful interpretation of scores [12]. Differences between our sample and the general population were clinically meaningful, with strong evidence against the null hypothesis of no difference, and suggest severely compromised emotional, functional and physical wellbeing in some women before radiotherapy. ...
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... El puntaje de resumen general varía de 0 a 104, con puntajes más altos que indican una mejor calidad de vida. Las evaluaciones de las propiedades psicométricas informan una buena validez y confiabilidad en todas las subescalas, equivalente a la versión original (Holzner et al., 2004;Janda et al., 2009). Aunque muchos estudios han utilizado cuestionarios FACT específicos de la enfermedad al estudiar la CVRS en pacientes, pocos estudios han descrito la CVRS en una población general que usa FACT-GP con fines comparativos. ...
... La calidad de vida fue clínica y significativamente menor entre los participantes no casados, con un índice de masa corporal que se desvió del peso normal y con una o más morbilidades autoreportadas. Se confirmó una solución de cuatro factores con adecuados índices de bondad de ajuste (RMSEA < 0.05 para los grupos de edad) (Janda et al., 2009). En el mismo sentido, Lindqvist Bagge et al. ...
... El presente estudio tuvo como propósito determinar las propiedades psicométricas del FACT-GP en población general mexicana. La estructura factorial identificada es similar con las reportadas en la literatura internacional (Janda et al., 2009), con cuatro componentes: Bienestar físico, Bienestar emocional, Bienestar familiar y social, Pareja y vida sexual, similares a la versión original. ...
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... We measured health-related quality of life using the Functional Assessment of Cancer Therapy-General (FACT-G) instrument, a 27-item measure specific to cancer that is validated in young people (18-25 years) and also in the QLD general population. 23 The FACT-G measures health-related quality of life on a 5-point Likert scale (0 = not at all, 4 = very much) across the domains of physical, emotional, social, and functional well-being. We used the Patient-Reported Outcomes Measurement Information System (PROMIS Ò ) self-efficacy scale for managing chronic conditions to measure health selfefficacy across five domains: daily activities, symptoms, medications and treatments, emotions, and social interactions on a 5-point Likert scale (1 = I am not at all confident, 5 = I am very confident). ...
... 26 FACT-G was stratified by sex, and also age to enable comparisons with validated data from the QLD general population. 23 No QLD general population norms were available for comparison for people younger than 20 years. PROMIS T-scores were generated using the web-based HealthMeasures Scoring Service. ...
... Clinically significant differences in FACT-G subscores (2 points) and overall score (5 points) between the sample and QLD population were determined. 23 Given the non-normal distribution of variables, Spearman's correlation was undertaken to explore the strength and direction of the relationship among variables, including the number of symptoms experienced as moderate or higher, FACT-G subscales and an overall score, and PROMIS. Mean and SD were used to summarize symptom severity, FACT-G (subscales and overall score), and PROMIS based on key characteristics of the sample, including sex, time since treatment finished, age at diagnosis, and type of cancer diagnosis. ...
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Purpose: The numbers of adolescent and young adult (AYA) survivors of childhood cancer are exponentially growing. To ensure suitable services are available to meet the needs of this growing population, understanding the experience of late effects, quality of life, and potentially modifiable factors, such as self-efficacy, is required. Methods: AYA survivors of childhood cancer recruited through an After Cancer Therapy Service at a Children's Hospital rated their symptoms experience, quality of life, and self-efficacy using the Patient Reported Outcome Common Terminology Criteria for Adverse Events, Functional Assessment of Cancer Therapy-General (FACT-G), and Patient-Reported Outcomes Measurement Information System (PROMIS®), respectively. Descriptive statistics were used to characterize the sample. Quality-of-life scores were compared with population norms. Regression analyses were used to explore the relationships between symptom experience, quality of life, and self-efficacy. Results: Thirty participants (mean age 22 ± 4.4 years) reported an average of nine symptoms as persistently experienced at moderate or higher rated intensity among participants (standard deviation ±8.7; range: 0-32; interquartile range: 2-16); over half (n = 17, 56.7%) had finished treatment 10 or more years ago. Participants scored lower on the FACT-G Physical Well-being and Emotional Well-being, and higher on Social Well-being subscales than the general population. Around two-thirds of participants were confident in their ability to self-manage their health based on their health self-efficacy score. Bivariate linear regression identified a statistically significant increase in the overall quality of life with increased self-efficacy, adjusted for age and sex (0.60, 95% confidence interval [CI] 0.30-0.90, p < 0.01). Higher symptom burden was associated with a lower overall quality of life after adjusting for age and sex (-0.95, 95% CI: -1.35 to -0.54, p < 0.001). Conclusion: Young cancer survivors experience a substantial number of persistent symptoms related to their cancer treatment that may negatively impact aspects of their quality of life. Health self-efficacy is a potential target for future interventions.
... A reference value of 85.9 (SD ¼ 15.1) for the general population has been reported, providing a benchmark against which the impact of disease on QOL can be evaluated. 36 Lifestyle Risk Factors Weight Status. BMI was computed from self-reported weight in kilograms divided by height in meters squared. ...
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Background and Aims Lifestyle counseling to achieve a healthy weight, quit smoking, and reduce alcohol is a cornerstone in the management of Barrett’s Esophagus (BE). However, little is known about whether patients make these recommended lifestyle changes or the impact of non-adherence on their quality of life (QOL). This study characterized the lifestyle risk factors, QOL, and intervention preferences of BE patients as a first step toward developing lifestyle change interventions for this population. Methods Patients with a confirmed BE diagnosis (N = 106) completed surveys at a surveillance endoscopy visit (baseline) and at 3- and 6-month follow-ups. Patients reported on lifestyle risk factors, adherence determinants (e.g., perceived benefits/barriers, risk, intentions), QOL, and intervention preferences. Results Most patients (56%) had uncontrolled reflux, were overweight/obese (65.1%), and had low dietary fiber intake (91%). Many (45%) reported poor QOL. Patients’ perceived risk of developing esophageal cancer was high, but their behavior change intentions were low. Despite receiving lifestyle counseling from physicians, there were no significant changes in patients’ QOL or lifestyle risk factors over time. Nonetheless, patients indicated strong interest in internet (62.6%) and multimedia programs (57.9%) addressing acid reflux and weight control. Conclusion BE patients reported uncontrolled reflux, poor QOL, and multiple lifestyle risk factors that did not change over time. Despite low levels of intention for making lifestyle changes, patients were interested receiving more information about controlling acid reflux, suggesting a potential teachable moment and opportunity for web-based and multimedia multiple behavior interventions that seek to control acid reflux symptoms through weight loss and a high fiber diet.
... Sample size was pragmatic based on the number of survivors attending the SCSC clinic for follow-up in the defined period. FACT-G scores were converted to T-scores and compared with general Australian population data that is not cancerspecific [18]. To analyse continuous PROMs (e.g., minutes of weekly exercise) separate linear mixed-effects models were estimated with PROMs acting as dependent variables. ...
... In total, 20/ 59 (34%) survivors increased their overall FACT-G score by more than 10% between T1 and T3. The mean FACT-G Tscore of survivors at T3 was 51.2, higher than the general (not cancer-specific) Australian population mean of 50 [18]. The increase was across all four domains, with the largest increases in physical (T-score 43.8-47.2) and functional (49.2-51.7) ...
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Background Sydney Cancer Survivorship Centre (SCSC) clinic provides multidisciplinary care after primary adjuvant treatment, with ~ 40% of attendees continuing follow-up with SCSC.MethodsSCSC survivors completed measures of symptoms, quality-of-life and lifestyle factors at initial visit (T1), first follow-up (T2) and 1 year (T3). Analyses used mixed effect models, adjusted for age, sex and tumour type.ResultsData from 206 survivors (2013–2019) were included: 51% male; median age 63 years; tumour types colorectal 68%, breast 12%, upper gastrointestinal 12%, other 8%. Mean time from: T1 to T2, 3.6 months; T1 to T3, 11.8 months. Mean weight remained stable, but 45% (35/77) of overweight/obese survivors lost weight from T1 to T3. Moderately-intense aerobic exercise increased by 63 mins/week at T2, and 68 mins/week T3. Proportion meeting aerobic exercise guidelines increased from 20 to 41%. Resistance exercise increased by 26 mins/week at T2. Global quality-of-life was unchanged from T1 to T2, improving slightly by T3 (3.7-point increase), mainly in males. Mean distress scores were stable, but at T3 the proportion scoring 4+/10 had declined from 41 to 33%. At T3, improvements were seen in pain, fatigue and energy, but > 20% reported moderate–severe fatigue, pain or sleep disturbance. Proportion reporting 5+ moderate–severe symptoms declined from 35% at T1 to 26% at T3, remaining higher in women.Conclusions Survivors attending SCSC increased exercise by 3 months, and sustained it at 1 year. Most overweight/obese survivors avoided further weight gain. Survivors had relatively good quality-of-life, with improvement in many symptoms and lifestyle factors at 1 year.
... HRQOL is associated with sociodemographic factors such as gender [4], age [4,5], level of income and education [6]. It has also been shown that there is a correlation between self-reported HRQOL and self-rated health (SRH) status [7,8]. ...
... Though many studies have used disease-specific FACT-instruments when studying HRQOL in patients, few studies have described normative HRQOL scores in a general population using either FACT-G or FACT-GP [4,7,12]. Even if HRQOL data for cancer and chronically ill patients are useful when evaluating or comparing treatment regimes, it is also important that the results can be interpreted with respect to a general population. ...
... However, few studies have described normative HRQOL scores in the general population using the commonly used FACT-instruments. Since HRQOL scores have been associated with sociodemographic factors [5][6][7]13], the main aim of the present study was to describe the HRQOL scores in a general Swedish population by using the FACT-GP instrument and to investigate potential relationships with sociodemographic factors as well as with SRH. ...
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Background: Many studies have used disease-specific instruments, such as the Functional Assessment of Cancer Therapy (FACT), when studying health-related quality of life (HRQOL) in patients. Few studies however, have described normative HRQOL values in the general population using FACT - General Population (FACT-GP). The general aim of the present study is thus to describe the normative HRQOL values in the general Swedish population by using the FACT-GP instrument and to investigate to what degree sociodemographic factors and status of self-rated health (SRH) correlate with HRQOL. Methods: The participants consisted of a pre-stratified (gender, age and education) sample of Swedish citizens that previously had enrolled to be a part of a web panel hosted by a research institute (SOM Institute) at the University of Gothenburg in Sweden. The HRQOL was assessed by using the FACT-GP and SRH. Results: A higher FACT-GP score was mainly associated with males, higher age, higher income and better SRH. The results showed that the Swedish sample scored lower on FACT-GP than previous studies. Conclusions: Since HRQOL is frequently used as an important endpoint in healthcare research, there is an increasing need for normative data. The results from this study serve as a general population standard against which other studied HRQOL-data could be evaluated.