| Literature DB >> 32818219 |
Ivan Marbaniang1, Shashikala Sangle2, Smita Nimkar3, Kanta Zarekar1, Sonali Salvi2, Amol Chavan1, Amita Gupta4, Nishi Suryavanshi1, Vidya Mave1.
Abstract
Introduction : There is a dearth of data on anxiety related to the COVID-19 pandemic from people living with HIV (PLHIV). This is a cause of concern as anxiety is associated with antiretroviral therapy (ART) nonadherence. Globally, India has the third largest population of PLHIV and third highest number of COVID-19 cases which are rapidly increasing. Therefore, it is crucial to understand the burden of anxiety and its sources among Asian Indian PLHIV during this pandemic.Entities:
Year: 2020 PMID: 32818219 PMCID: PMC7430601 DOI: 10.21203/rs.3.rs-45412/v1
Source DB: PubMed Journal: Res Sq
Distribution of GAD-7 scores of by sociodemographic and clinical characteristics among PLHIV contacted
| Total | GAD-7 ≥ 10 | GAD-7 < 10 | p-value | |
|---|---|---|---|---|
| N (%) | - | |||
| Median age in years (IQR) | 44 (40–50) | 43 (40–49) | 45 (40–50) | 0.8 |
| Gender | ||||
| Cisgender men | 66 (39.5) | 17 (41.5) | 49 (38.9) | 0.3 |
| Cisgender women | 100 (59.9) | 23 (56.1) | 77 (61.1) | |
| Transgender woman | 1 (0.6) | 1 (2.4) | 0 | |
| Monthly household income (USD) | ||||
| <65 | 35 (20.9) | 11 (26.8) | 24 (19.0) | 0.6 |
| 65–130 | 64 (38.3) | 14 (34.1) | 50 (39.6) | |
| 131–199 | 36 (21.6) | 10 (24.4) | 26 (20.6) | |
| ≥ 200 | 32 (19.2) | 6 (14.6) | 26 (20.6) | |
| Education | ||||
| No formal education | 22 (13.2) | 4 (9.8) | 18 (14.3) | 0.4 |
| ≤ 9 years | 74 (44.3) | 22 (53.7) | 52 (41.3) | |
| >9 years | 71 (42.5) | 15 (36.6) | 56 (44.4) | |
| Employment prior to lockdown[ | ||||
| Unemployed | 33 (19.8) | 9 (21.9) | 24 (19.0) | 0.5 |
| Informal sector | 95 (56.9) | 25 (61.0) | 70 (55.6) | |
| Salaried | 39 (23.3) | 7 (17.1) | 32 (25.4) | |
| Living with a spouse[ | ||||
| Yes | 83 (49.7) | 19 (46.3) | 64 (50.8) | 0.7 |
| No | 84 (50.3) | 22 (53.7) | 62 (49.2) | |
| Median duration on ART in years (IQR) | 9.8 (6.5–12.9) | 9.5 (6.7–11.8) | 9.9 (6.4–13.1) | 0.4 |
| Latest CD4 counts (cells/mm3) | ||||
| <500 | 44 (26.4) | 10 (24.4) | 34 (26.9) | 0.8 |
| ≥ 500 | 57 (34.1) | 13 (31.7) | 44 (34.9) | |
| Do not know | 66 (39.5) | 18 (43.9) | 48 (38.1) | |
| Latest viral load | ||||
| Undetectable (< 50 copies/mL) | 87 (52.1) | 16 (39.0) | 71 (56.3) | 0.1 |
| ≥ 50 copies/mL | 9 (5.4) | 3 (7.3) | 6 (4.8) | |
| Do not know | 71 (42.5) | 22 (53.7) | 49 (38.9) | |
| Prior history of tuberculosis | ||||
| Yes | 64 (38.3) | 19 (46.3) | 45 (35.7) | 0.3 |
| No | 103 (61.7) | 22 (53.7) | 81 (64.3) | |
| Living with another comorbidity[ | ||||
| Yes | 45 (27.0) | 12 (29.3) | 33 (26.2) | 0.7 |
| No | 122 (73.0) | 29 (70.7) | 93 (73.8) | |
| Median days of remaining ART (IQR) | 60 (28–76) | 32 (17–60) | 60 (30–79) | |
| Discontinued HAART during the lockdown | 5 (3.3) | - | - | - |
ART – Antiretroviral Therapy
Median GAD-7 score for the study population was 3 (IQR: 0–9), range 0–21
Informal sector employment for women mainly included working as house maids or domestic help (89%), for men this was mainly as daily wage laborers (92%)
Living with a spouse: No includes PLHIV who are single, widowed, separated or divorced
Comorbidity includes having any of the following: COPD, asthma, CVD, hypertension, diabetes, renal disease, cancer.
Figure 1Three themes (black boxes) were identified in thematic analysis as causes of concern. As indicated by dotted lines, the themes were not always mutually exclusive. However, one theme could be a predominat cause of concern. Causes of concern also appeared to recur and their persisience implicated in the absence of mitigating measures. As an example, participants were concerned in the immediate present about not having any money to be able to provide for the family. In the absence of financial buffers such as savings, this concern was also projected into the imminent future.