Abstract:

Objective The aim of the study is to explore the influencing factors of perceived social support in patients with drug-resistant tuberculosis. Methods From January 2018 to August 2019, 160 patients with drug-resistant tuberculosis admitted to the tuberculosis Department of Shanghai Pulmonary Hospital were selected as the study object. The perceived social support scale was used to evaluate the degree of social support of patients, and according to the total score of perceived social support scale (mainly including family support, friend support, and other supports) with the threshold point of 50 scores, patients were divided into high group (68 cases) and low group (92 cases). The influencing factors of perceived social support of patients with drug-resistant tuberculosis were analyzed by logistic multivariate regression analysis. Results Logistic multivariate regression analysis showed that age >60 years (OR=6.900; 95%CI: 2.984-15.953; P=0.005), junior high school and below (OR=2.870;95%CI: 1.236-6.665; P<0.001), unmarried (OR=1.257; 95%CI: 0.545-2.899; P=0.045) or divorced (OR=3.960;95%CI: 1.742-9.001; P=0.030), mild depression (OR=6.325; 95%CI: 2.910-13.750; P=0.022) or moderate or above depression (OR=10.733; 95%CI: 3.847-29.950; P<0.001), rural area (OR=2.294; 95%CI: 1.209-4.353; P=0.040), family monthly income per capita <2500 yuan (OR=5.881; 95%CI: 2.348-14.733; P<0.001), retreatment (OR=2.030; 95%CI: 1.074-3.838; P=0.013), and multi-drug resistance (OR=1.860; 95%CI: 0.854-4.048; P<0.001) or extensive drug resistance (OR=3.409; 95%CI: 1.533-7.581; P<0.001) were risk factors of perceived social support for patients with drug-resistant tuberculosis. Conclusion Age >60 years old, junior high school or below, unmarried or divorced, depression, rural areas, monthly income per family <2500 yuan, retreatment and multi-drug or extensive drug resistance are risk factors of perceived social support for patients with drug-resistant tuberculosis.

Key words: Tuberculosis, multidrug-resistant, Social support, Cognition, Questionnaires, Factor analysis, statistical