Latent characteristics and influencing factors of stigma in rheumatoid arthritis: A latent class analysis

Author:

Han Zi-Yin12,Chen Yong2,Chen You-Di3,Sun Guo-Min2,Dai Xiao-Ying4,Yin Yue-Qin5,Geng Ya-Qin123ORCID

Affiliation:

1. Department of Nursing, Nanjing Medical University, Jiangning District, Nanjing, China

2. Department of Rheumatology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, China

3. Department of Nursing, Bengbu Medical College, Bengbu, China

4. Department of Rheumatology, The First Affiliated Hospital of Wannan Medical College, Wuhan, China

5. Department of Rheumatology, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China.

Abstract

To explore the latent classes of stigma in patients with rheumatoid arthritis, we analyzed the characteristics of the different categories. Adopting a convenient sampling method, socio-demographic and disease-related information from the outpatient clinics and wards of 3 tertiary care hospitals in China was collected. The Chinese version of the Internalized Stigma of Mental Illness scale-Rheumatoid Arthritis was used in this survey. Rheumatoid arthritis stigma was divided into 3 potential categories: Low Stigma-Strong Resistance (83, 41.5%), Medium Stigma-Strong Alienation (78, 39.0%), and High Stigma-Weak Resistance (39, 19.5%). Unordered multinomial logistic regression analysis showed that pain (OR = 1.540, P = .005; OR = 1.797, P < .001), elementary school education and below (OR = 4.051, P = .037), and duration of morning stiffness (OR = 0.267, P = .032) were risk factors for stigma, whereas family history was a protective factor against stigma (OR = 0.321, P = .046). Patients with longer morning stiffness, more severe pain, and less education have a greater risk of heavier stigma. Strong alienation is an early warning of heavy stigma. Resistance to stigma and family support can help patients overcome their psychological obstacles. More attention should be paid to constructing family centered support systems to help resist stigma.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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