| Literature DB >> 34316641 |
Laila Gharzai1, Jennifer Harney1, Suzanne Higgins1, Robin High2, Liyan Xu3, Douglas Inciarte4, Muhammad Atif Ameer1, Diego Torres-Russotto1.
Abstract
INTRODUCTION: Although stigma has been linked to poor quality of life, studies examining its prevalence in dystonia are lacking. Our objective was to determine prevalence and predictors of stigma against generalized dystonia in diverse cultural settings.Entities:
Keywords: Cross-cultural comparison; Discrimination; Dystonia; Epilepsy; Prejudice; Schizophrenia; Stigma
Year: 2020 PMID: 34316641 PMCID: PMC8298808 DOI: 10.1016/j.prdoa.2020.100059
Source DB: PubMed Journal: Clin Park Relat Disord ISSN: 2590-1125
Case introduction excerpts and questionnaire.
Prior to viewing each video, participants were read a short preface in their native tongue (English or Spanish). The case introduction described some characteristics about the disease and the patient. Subsequent to viewing the dystonia video, additional social information about this patient was provided and participants were asked to answer the questions again.
| Video preface | Epilepsy | This is a lifelong disease. This person suffers from seizures about once a month. In between seizures he is normal. Please answer these questions. |
| Schizophrenia | This person has schizophrenia. She has hallucinations and a sensation that people are after her to hurt her. This is a lifelong disease but most patients get better with treatment. Please answer these questions. | |
| Dystonia, Part 1 | This person suffers from a movement disorder, but this person has normal feelings and thinking. Please answer these questions. | |
| Dystonia, Part 2 | This person is married and has four children. He is a mechanic and is the owner of his shop. Please answer the questions again with this new information. | |
| 1 | Do you know anyone like this? (Y/N) | |
| 2 | Would you be willing to start a conversation with this person? (Y/N) | |
| 3 | Would you be willing to rent a room in your house to this person? (Y/N) | |
| 4 | Would this person's illness disqualify him/her from running for office? (Y/N) |
Demographic variables.
Four demographic variables were obtained: gender, level of education, age, and Hispanic self-identification.
| Demographic variables | NE- C | NIC | NE - H | Total | |
|---|---|---|---|---|---|
| Gender | Female | 60 (62.5%) | 60 (65.2%) | 60 (70.6%) | 180 (65.93%) |
| Male | 36 (37.5%) | 32 (34.8%) | 25 (29.4%) | 93 (34.07%) | |
| Education | Less than high school | 0 (0%) | 32 (34.8%) | 41 (48.2%) | 73 (26.74%) |
| High school | 25 (26%) | 31 (33.7%) | 32 (37.6%) | 87 (31.87%) | |
| Post-high school | 71 (74%) | 29 (31.5%) | 12 (14.1%) | 113 (41.39%) | |
| Age | <25 | 21 (21.9%) | 25 (27.2%) | 13 (15.3%) | 59 (21.61%) |
| 25 to 44 | 24 (25%) | 45 (48.9%) | 45 (52.9%) | 109 (39.93%) | |
| >44 | 51 (53.1%) | 22 (23.9%) | 27 (31.8%) | 105 (38.46%) | |
| Hispanic self-identification | Non-Hispanic | 91 (94.8%) | N/A | 10 (11.8%) | N/A |
| Hispanic | 5 (0.05%) | 75 (88.2%) | |||
Gender distribution was similar between sites (p-value = 0.510481).
The level of education and age were statistically different between sites (p < 0.00001 and P < 0.0001 respectively). NE-C had higher level of education and older population.
Survey responses.
Aggregated survey responses by site, disease, and question number are provided. The number of responses and percentages reflect the number of stigmatizing responses for that particular question.
| Question # | NE-C | NIC | NE-H | Mean stigma by disease | |
|---|---|---|---|---|---|
| Seizure | 2 | 2 | 19 | 10 | 31.40% |
| 2.10% | 20.70% | 11.80% | |||
| 3 | 37 | 33 | 28 | ||
| 38.50% | 35.90% | 32.90% | |||
| 4 | 34 | 51 | 43 | ||
| 35.40% | 55.40% | 50.60% | |||
| Schizophrenia | 2 | 21 | 35 | 26 | 63.10% |
| 23.10% | 38.50% | 31.00% | |||
| 3 | 70 | 53 | 63 | ||
| 76.90% | 58.20% | 75.00% | |||
| 4 | 72 | 75 | 72 | ||
| 79.10% | 82.40% | 85.70% | |||
| Dystonia pre-education | 2 | 4 | 16 | 9 | 33.00% |
| 4.40% | 18.00% | 10.70% | |||
| 3 | 29 | 31 | 22 | ||
| 32.20% | 34.80% | 26.20% | |||
| 4 | 42 | 63 | 44 | ||
| 46.70% | 70.80% | 52.40% | |||
| Dystonia post-education | 2 | 0 | 12 | 6 | 24.50% |
| 0.00% | 13.50% | 7.10% | |||
| 3 | 18 | 23 | 18 | ||
| 20.20% | 25.80% | 21.40% | |||
| 4 | 30 | 49 | 37 | ||
| 33.70% | 55.10% | 44.00% | |||
| Mean stigma by site | 33.84% | 41.47% | 37.63% |
Averaging seizure, schizophrenia, and dystonia pre-education.
Fig. 1Age effect on stigma, by disease.
Age was treated as a continuous variable and the effect on stigma was assessed. Although overall the effect of age was slight, the effect was significant (p = 0.038). The three diseases showed differing correlations, with the slope of stigmatizing responses toward seizures changing the least (slope of 0.00252). Stigma toward dystonia slightly increased with age, with a slope of 0.1125. Stigma toward schizophrenia slightly decreased with age, with a slope of −0.00745.
Fig. 2Dystonia - effect on stigma after learning more about the patient.
After viewing the dystonia video once, participants were offered further social information on the patient (see Table 1). The changes in stigmatizing answers to Questions 3 and 4 were significantly different across all three sites. For Question 3, NE-C (p = 0.006) decreased 12%, NIC (p = 0.008) decreased 9%, and NE-H decreased 5% (p = 0.22). For Question 4. NE-H decreased 8% (p = 0.14), NE-C decreased 13% (p = 0.004), and NIC decreased 15% (p ≤ 0.001).