METHODS: Health-related quality of life was captured using the EuroQol-5 Dimension-3 Level (EQ-5D-3L), with data collected at baseline and throughout the trial. Multilevel mixed-effects linear regression with random effects estimated health-related quality of life over time, capturing variation between hospital sites and individuals, and a fixed-effects linear model estimated the impact of cardiovascular and gastrointestinal events.
RESULTS: Patients were followed for a median of 5 years (interquartile range 3.4-6.0). The average baseline EQ-5D score of 0.930 (SD 0.104) remained relatively unchanged over the trial period with no evidence of statistically significant differences in EQ-5D score between randomized treatment groups. The largest decrement in the year of an event was estimated for stroke (-0.107, P
AIM: To examine the current RTW status among young and middle-aged CRC survivors and to analyze the impact of RTW self-efficacy (RTW-SE), fear of progression (FoP), eHealth literacy (eHL), family resilience (FR), and financial toxicity (FT) on their RTW outcomes.
METHODS: A cross-sectional investigation was adopted in this study. From September 2022 to February 2023, a total of 209 participants were recruited through a convenience sampling method from the gastrointestinal surgery department of a class A tertiary hospital in Chongqing. The investigation utilized a general information questionnaire alongside scales assessing RTW-SE, FoP, eHL, FR, and FT. To analyze the factors that influence RTW outcomes among young and middle-aged CRC survivors, Cox regression modeling and Kaplan-Meier survival analysis were used.
RESULTS: A total of 43.54% of the participants successfully returned to work, with an average RTW time of 100 days. Cox regression univariate analysis revealed that RTW-SE, FoP, eHL, FR, and FT were significantly different between the non-RTW and RTW groups (P < 0.05). Furthermore, Cox regression multivariate analysis identified per capita family monthly income, job type, RTW-SE, and FR as independent influencing factors for RTW (P < 0.05).
CONCLUSION: The RTW rate requires further improvement. Elevated levels of RTW-SE and FR were found to significantly increase RTW among young and middle-aged CRC survivors. Health professionals should focus on modifiable factors, such as RTW-SE and FR, to design targeted RTW support programs, thereby facilitating their timely reintegration into mainstream society.
METHODS: A multicenter cross-sectional survey was conducted. Participants were recruited by a multi-stage stratified cluster-sampling procedure from a mountainous region in Lishui City, Zhejiang Province, China. A validated questionnaire of Healthy Aging Instruments (HAI), Basic Psychological Needs Satisfaction (BPNS), Patient Health Questionnaire (PHQ-9), Ascertain Dementia 8 questionnaire (AD8), Family Adaption Scale (FAS), Community-Based Health Promotion Activity Questionnaires (HPAQ), Social Function Questionnaire for Chinese Older Adults (SFQCOA), Adult Health Self-Management Skills (ability) Rating Scale (AHSMSRS) was incorporated. The questionnaire also captured sociodemographic characteristics, lifestyle behaviors, and Self-Perceived Healthy Ageing (SPHA). Multivariate stepwise linear regression analysis was performed.
RESULTS: The mean score of the Healthy Aging index was 136.5 (18.22). The majority of the participants have a high level of healthy aging (65.5%). Regression analysis showed 12 predictors of healthy aging: self-perceived economic independence, lifestyle-related behaviors, subjective physical health, psychological health, better competence of BPNS, frequency of community-based HPA participation, lower HPA-perceived barriers, social support, social engagement, and Health Self-Management (HSM) ability with two dimensions HSM-Consciousness and HSM-Behavior, as well as SPHA (P China. Developing an accurate, reliable health promotion program that provides insights may improve healthy aging changes in mountainous regions for community healthcare staff, especially nurses.