Objective:To explore the types and characteristics of self-management behaviors among stroke patients, as well as to analyze the influencing factors associated with these different types, providing a reference for developing intervention programs aimed at enhancing self-management behaviors in stroke patients.Methods:This study adopted a cross-sectional survey design. The stroke inpatients were selected through convenience sampling from the Department of Neurology at Huashan Hospital, Fudan University between October 2023 and August 2024. Data collection was conducted using the following instruments: the General Information Questionnaire, Stroke Self-Management Behavior Rating Scale, Self-Efficacy for Managing Chronic Disease 6-Item Scale, Stroke Health Knowledge Questionnaire, Social Support Rating Scale, Generalized Anxiety Disorder Scale, Patient Health Questionnaire-9, and the modified Rankin Scale. Stroke patients' self-management behaviors were categorized using systematic cluster analysis, and disordered multi-class Logistic regression was employed to identify the influencing factors associated with each category.Results:Finally, 210 stroke patients were enrolled, there were 148 males and 62 females, aged (60.82 ± 13.05) years. The total score of self-management behavior in stroke patients was (144.18 ± 23.24) points, with a score rate of 56.54%. Systematic cluster analysis identified four distinct self-management behaviors patterns: consistent implementers (25.71%, 54/210); unrealistically optimistic(54.76%, 115/210); optimistically proactive (13.81%, 29/210); and passive and resigned (5.71%, 12/210). Disordered multi-class Logistic regression analysis indicated that higher scores in stroke-related health knowledge were associated with a greater likelihood of being categorized as stable practice type and optimistic proactive type ( OR=1.130, 1.254, both P<0.05). Conversely, increased levels of depression correlate with a higher probability of being classified as passive waiting type ( OR=0.684, 0.722, 0.540, all P<0.05). Additionally, lower modified Rankin Scale scores were linked to an increased tendency to fall into the categories of stable practice type and blind optimism type ( OR=19.759, 23.148, both P<0.05). Conclusions:The self-management behaviors of stroke patients are generally suboptimal and exhibited distinct classification features. Significant differences are observed in stroke health knowledge, depression, and the modified Rankin Scale scores among the four patient types. Healthcare professionals should tailor intervention measures to the characteristics of each type to enhance patients' self-management capacity.

Objective:To explore the types and characteristics of self-management behaviors among stroke patients, as well as to analyze the influencing factors associated with these different types, providing a reference for developing intervention programs aimed at enhancing self-management behaviors in stroke patients.Methods:This study adopted a cross-sectional survey design. The stroke inpatients were selected through convenience sampling from the Department of Neurology at Huashan Hospital, Fudan University between October 2023 and August 2024. Data collection was conducted using the following instruments: the General Information Questionnaire, Stroke Self-Management Behavior Rating Scale, Self-Efficacy for Managing Chronic Disease 6-Item Scale, Stroke Health Knowledge Questionnaire, Social Support Rating Scale, Generalized Anxiety Disorder Scale, Patient Health Questionnaire-9, and the modified Rankin Scale. Stroke patients' self-management behaviors were categorized using systematic cluster analysis, and disordered multi-class Logistic regression was employed to identify the influencing factors associated with each category.Results:Finally, 210 stroke patients were enrolled, there were 148 males and 62 females, aged (60.82 ± 13.05) years. The total score of self-management behavior in stroke patients was (144.18 ± 23.24) points, with a score rate of 56.54%. Systematic cluster analysis identified four distinct self-management behaviors patterns: consistent implementers (25.71%, 54/210); unrealistically optimistic(54.76%, 115/210); optimistically proactive (13.81%, 29/210); and passive and resigned (5.71%, 12/210). Disordered multi-class Logistic regression analysis indicated that higher scores in stroke-related health knowledge were associated with a greater likelihood of being categorized as stable practice type and optimistic proactive type ( OR=1.130, 1.254, both P<0.05). Conversely, increased levels of depression correlate with a higher probability of being classified as passive waiting type ( OR=0.684, 0.722, 0.540, all P<0.05). Additionally, lower modified Rankin Scale scores were linked to an increased tendency to fall into the categories of stable practice type and blind optimism type ( OR=19.759, 23.148, both P<0.05). Conclusions:The self-management behaviors of stroke patients are generally suboptimal and exhibited distinct classification features. Significant differences are observed in stroke health knowledge, depression, and the modified Rankin Scale scores among the four patient types. Healthcare professionals should tailor intervention measures to the characteristics of each type to enhance patients' self-management capacity.

Objective: To analyze the status of colorectal cancer screening results in Shangcheng District, Hangzhou City from 2020 to 2022, so as to provide the evidence for developing prevention and control strategies for colorectal cancer. Methods: According to Colorectal Cancer Screening Program for Zhejiang Key Populations, residents registered in Shangcheng District and at ages of 50 to 74 years were recruited and screened using Zhejiang Provincial Questionnaires for Assessment of Risk of Colorectal Cancer Screening among High-risk Populations and fecal immunochemical test (FIT). Residents positive for questionnaires or FIT, or both positive for questionnaires and FIT were served as a positive screening and colonoscopy should be underwent. The rates of positive screening, compliance of colonoscopy and different pathological diagnosis results were analyzed. Results: Totally 118 227 residents were screened in Shangcheng District from 2020 to 2022, with a positive rate of 16.00%. The positive rates of questionnaires, FIT and both questionnaires and FIT were 8.14%, 6.46% and 1.40%, respectively. Colonoscopy was performed among 6 501 cases, with a compliance rate of 34.37%. Colonoscopy detected 3 689 cases with colorectal lesions, with a detection rate of 56.75%. The detection rates of colorectal cancer, pericancer lesions and other benign lesions were 1.12%, 9.15% and 46.47%, respectively. The detection rates of positive screening, colorectal lesions and pericancer lesions were higher in men (22.16%, 61.25% and 12.45%) than those in women (11.62%, 51.98% and 5.67%; all P<0.05). The detection rates of positive screening, colorectal lesions, colorectal cancer and pericancer lesions appeared a tendency towards a rise with age (all P<0.05). The detection rates of positive screening and colorectal lesions appeared a tendency towards a decline, and the compliance rate of colonoscopy appeared a tendency towards a rise from 2020 to 2022 (all P<0.05). The detection rate of pericancer lesions was higher among questionnaire and FIT positive residents (65.37%, P<0.05). Conclusions The detection rates of colorectal cancer and pericancer lesions in Shangcheng District from 2020 to 2022 were 1.12% and 9.15%, respectively. Men, the elderly, questionnaire and FIT positive residents are key populations, and the compliance of colonoscopy for the populations should be improved.