PDF
Full
Outline
To explore the influence of social networks on health-related behaviors in stroke patients.
From July to September 2023, participants living in Guangdong were selected as the survey respondents using convenient sampling method. The general information questionnaire, stroke health-related behavior questionnaire and social network questionnaire were used to collect data. Social network analysis was used to explore network characteristics and draw social network diagrams. Latent class analysis was used to explore health-related behavior patterns of stroke. Kruskal-Wallis H test and Bonferroni test were used to compare the differences in social networks of different health-related behavior patterns.
Stroke health-related behaviors can be divided into three categories, namely "good health behavior group" (C1, 58.15%), "smoking and drinking group" (C2, 24.60%), and "sedentary lifestyle and imbalanced diet and sleep group" (C3, 17.25%). The network effective size, efficiency, and betweenness centrality of the "smoking and drinking group" and the "sedentary lifestyle and imbalanced diet and sleep group” were lower than that of the "good health behavior group" (P<0.05/3). In contrast, the density, network hierarchy, network constraint, percentage of individuals who smoked and drank, and percentage of individuals who did not exercise and ate healthily of the two groups were higher than that of the "good health behavior group" (P<0.05/3).
Social network characteristics with high betweenness centrality, low hierarchy, low constraint and high network efficiency can promote health-related behaviors of stroke. Building a social network with equality, low constraint and positive healthy interaction is helpful for community stroke prevention and treatment.
PDF
65
29
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
