Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
BACKGROUND Thus far, no Chinese studies have explored knee arthritis symptoms in depth, and there are no adequate data regarding the care seeking behavior of these patients. OBJECTIVE To collect nationwide data in China via an online survey of people suspected of having knee arthritis, and analyze their symptoms and care seeking behavior. METHODS Participants were directed to a survey page via a popular health website in China. The measurement tool was a 14-item knee arthritis questionnaire, designed as a 10-point continuous measurement scale, containing 14 symptom items grouped into 3 domains: pain, inflammation, and functioning. For each single item, the respondent rated his/her level of severity as: ‘mild’ (score 1-3); ‘moderate’ (4-6); or ‘severe’ (7-10). Mean scores determined the severity of symptoms for each domain and each respondent. In analyzing correlations between the 14 symptoms, a correlation coefficient of >0.6 was regarded as a strong relationship. RESULTS A total of 7,956 Chinese patients completed the survey. The correlation coefficient between inflammation and functioning was 0.783, versus 0.630 between pain and inflammation, and 0.693 between pain and functioning. Most of the stronger links were observed between symptoms of the inflammation domain and those of the functioning domain. In the behavior analysis, a longer time to seek treatment was observed in females than in males (p<0.001). CONCLUSIONS In Chinese people with suspected knee arthritis, inflammation is found correlated with loss of function more strongly than pain. A gap in health care for Chinese patients might exist, delayed treatment and lack of standardized treatment plans being examples.
BACKGROUND Thus far, no Chinese studies have explored knee arthritis symptoms in depth, and there are no adequate data regarding the care seeking behavior of these patients. OBJECTIVE To collect nationwide data in China via an online survey of people suspected of having knee arthritis, and analyze their symptoms and care seeking behavior. METHODS Participants were directed to a survey page via a popular health website in China. The measurement tool was a 14-item knee arthritis questionnaire, designed as a 10-point continuous measurement scale, containing 14 symptom items grouped into 3 domains: pain, inflammation, and functioning. For each single item, the respondent rated his/her level of severity as: ‘mild’ (score 1-3); ‘moderate’ (4-6); or ‘severe’ (7-10). Mean scores determined the severity of symptoms for each domain and each respondent. In analyzing correlations between the 14 symptoms, a correlation coefficient of >0.6 was regarded as a strong relationship. RESULTS A total of 7,956 Chinese patients completed the survey. The correlation coefficient between inflammation and functioning was 0.783, versus 0.630 between pain and inflammation, and 0.693 between pain and functioning. Most of the stronger links were observed between symptoms of the inflammation domain and those of the functioning domain. In the behavior analysis, a longer time to seek treatment was observed in females than in males (p<0.001). CONCLUSIONS In Chinese people with suspected knee arthritis, inflammation is found correlated with loss of function more strongly than pain. A gap in health care for Chinese patients might exist, delayed treatment and lack of standardized treatment plans being examples.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.