| Literature DB >> 33827969 |
Marco Garrido-Cumbrera1,2, Helena Marzo-Ortega3,4, Laura Christen5, Pedro Plazuelo-Ramos2, Dale Webb6, Clare Jacklin7, Shantel Irwin8, Laurent Grange9,10, Souzi Makri11, Elsa Frazão Mateus12, Serena Mingolla13, Katy Antonopoulou14, Sergio Sanz-Gómez1, José Correa-Fernández1, Loreto Carmona15, Victoria Navarro-Compán16.
Abstract
AIM: To assess the impact of the COVID-19 pandemic on patients with rheumatic and musculoskeletal diseases (RMDs).Entities:
Keywords: COVID-19; ankylosing; arthritis; osteoarthritis; patient perspective; rheumatoid; spondylitis
Mesh:
Year: 2021 PMID: 33827969 PMCID: PMC8029094 DOI: 10.1136/rmdopen-2020-001546
Source DB: PubMed Journal: RMD Open ISSN: 2056-5933
Figure 1Number of responses by date and country.
Main areas of the REUMAVID survey and associated items
| Area | Variables/indicators |
| Sociodemographic characteristics | Gender, province and city/town of residence, educational level, marital status, no. of children, height and weight. |
| Habits and lifestyle | Smoking and drinking habits, social interaction, outdoor contact and groceries management. |
| Employment status and working conditions | Employment status, area of work, main occupation, key worker, and change in work situation (change). |
| Disability and financial support | Population at risk, entitlement to disability benefits, and financial support packages for COVID-19. |
| Patient organisations and institutional support | Patient organisation membership, support from patient organisation, source of information on COVID-19 (and quality of information), and frequency of COVID-19 information search. |
| Physical activity and psychological care | Physical activity, psychological/psychiatric care (type, discontinuation and consequences). |
| Contact with COVID-19 | Contact with COVID-19 and relatives with COVID-19. |
| Healthcare access and treatment | Visits to rheumatologist (frequency, discontinuation and reasons), access to rheumatologist (tries and results), access to GP, treatment (type, discontinuations and reasons), and difficulties getting medication. |
| Health status | Self-perceived health status, changes in health status, well-being (WHO-5), anxiety and depression (HADS), disease activity (VAS), pain (PASS), satisfaction with health status and comorbidities. |
HADS, Hospital Anxiety and Depression Scale; PASS, Patient Acceptable Symptom Scale; VAS, Visual Analogue Scale; WHO-5, WHO Five Well-Being Index.
Figure 2Gender distribution of REUMAVID participants by country (N=1800).
Sociodemographic characteristics of the REUMAVID sample (N=1800, unless otherwise specified)
| Variables | n (%) or mean±SD |
| Rheumatic disease | |
| Axial spondyloarthritis | 670 (37.2) |
| Rheumatoid arthritis | 534 (29.2) |
| Fibromyalgia | 312 (17.3) |
| Osteoarthritis | 310 (17.2) |
| Psoriatic arthritis | 165 (9.1) |
| Osteoporosis | 114 (6.3) |
| Sjögren’s syndrome | 104 (5.8) |
| Systemic lupus erythematosus | 97 (5.4) |
| Peripheral spondyloarthritis | 50 (2.8) |
| Juvenile idiopathic arthritis | 38 (2.1) |
| Gout | 36 (2.0) |
| Systemic sclerosis (or scleroderma) | 30 (1.7) |
| Vasculitis or arteritis | 24 (1.3) |
| Polymyalgia rheumatica | 13 (0.7) |
| Myositis (polymyositis and dermatomyositis) | 7 (0.4) |
| SAPHO (only recorded in France) | 15 (0.8) |
| Age | 52.6±13.2 |
| Gender | |
| Male | 355 (19.7) |
| Female | 1442 (80.1) |
| Other | 3 (0.2) |
| Educational level | |
| No studies | 20 (1.1) |
| Primary school | 72 (4.0) |
| Secondary school | 307 (17.1) |
| Vocational qualification | 527 (29.3) |
| University studies | 874 (48.6) |
| Employment status | |
| Employed | 625 (34.7) |
| Temporary sick leave | 159 (8.8) |
| Permanent sick leave | 86 (4.8) |
| Retirement | 403 (22.4) |
| Early retirement | 60 (3.3) |
| Unemployed | 85 (4.7) |
| Furlought | 112 (6.2) |
| Housework | 64 (3.6) |
| Student | 19 (1.1) |
| Other | 187 (10.4) |
| Marital status | |
| Single | 287 (15.9) |
| Married/in a relationship | 1253 (69.6) |
| Separated/divorced | 195 (10.8) |
| Widower/widow | 65 (3.6) |
Changes in lifestyle, daily activities and employment during COVID-19 lockdown (N=1800, unless otherwise specified)
| Lifestyle factors | N (%) |
| Continue to exercise at home during lockdown (n=1128) | |
| Yes | 444 (39.4) |
| No | 514 (45.6) |
| No, but compensates with another exercise | 170 (15.1) |
| Smoking habit during lockdown | |
| Yes | 373 (20.7) |
| No | 1427 (79.3) |
| Changes in smoking habit during lockdown (n=556) | |
| I've started smoking | 18 (3.2) |
| More than before | 137 (24.6) |
| Same as before | 187 (33.6) |
| Less than before | 57 (10.3) |
| I’ve quit smoking | 157 (28.2) |
| Changes in drinking habit during lockdown (n=1085) | |
| More than before | 197 (18.2) |
| The same amount as before | 404 (37.2) |
| Less than before | 136 (12.5) |
| I’m not drinking | 348 (32.1) |
| Weight change during lockdown | |
| I am gaining weight | 736 (40.9) |
| I'm maintaining my weight | 876 (48.7) |
| I'm losing weight | 188 (10.4) |
| Employment changes during COVID-19 pandemic | |
| How has your way of working been affected by the COVID-19 pandemic? (n=901) | |
| I'm still working in my regular workplace and workhours (as before COVID-19) | 132 (14.7) |
| I still come in person, with changes to time or place of work | 119 (13.2) |
| I am teleworking (working from home) | 359 (39.8) |
| Temporary sick leave caused by COVID-19 | 118 (13.1) |
| I've been fired because of COVID-19 | 33 (3.7) |
| I've had to close my business | 28 (3.1) |
| I have been furloughed | 112 (12.4) |
| Contact with outside during the COVID-19 pandemic lockdown | |
| Have you been out in any natural environment (eg, forest and parks)? (n=1429) | |
| Yes | 563 (39.4) |
| No | 866 (60.6) |
| How often did you go outside for a walk? (n=1800) | |
| Every day | 490 (27.2) |
| 5 days a week | 91 (5.1) |
| Between 2 and 4 days a week | 272 (15.1) |
| One day a week or less | 492 (27.3) |
| Never | 455 (25.3) |
| How are you managing to purchase your groceries? (n=591) | |
| I am going to the supermarket as usual | 209 (35.4) |
| Someone else in my household is going to the supermarket | 200 (33.8) |
| Someone from outside my household is bringing my groceries to me | 39 (6.6) |
| I am ordering my groceries online or by phone | 143 (24.2) |
Self-perceived health, well-being, mental health and disease activity (N=1800, unless otherwise specified)
| Variables | n (%) or mean±SD |
| Self-perceived health status (n=1786) | |
| Very good | 125 (7.0) |
| Good | 519 (29.1) |
| Fair | 802 (44.9) |
| Bad | 293 (16.4) |
| Very bad | 47 (2.6) |
| Change in health status during lockdown | |
| Much worse than before | 182 (10.2) |
| Moderately worse | 650 (36.4) |
| Same as before | 843 (47.2) |
| Moderately better | 97 (5.4) |
| Much better than before | 14 (0.8) |
| Visual Analogue Scale for disease activity (0–10) (n=1756) | 5.3±2.7 |
| Patient Acceptable Symptom Scale | |
| Overall pain during last week (0–10) (n=1421) | 6.0±3.0 |
| Overall pain ≥4 (0–10) (n=1421) | 1074 (75.6) |
| Dissatisfaction with health status if prolonged in future months on lockdown (n=1421) | 743 (52.3) |
| WHO-5 (0–100) (n=1777) | 50.7±23.9 |
| Poor well-being (WHO-5 ≤50) | 870 (49.0) |
| Mental health (n=1769) | |
| HADS anxiety (0–21) | |
| No case (0–7) | 756 (42.7) |
| Borderline case (8–10) | 435 (24.6) |
| Case (11–21) | 578 (32.7) |
| HADS depression (0–21) | |
| No case (0–7) | 958 (54.2) |
| Borderline case (8–10) | 438 (24.8) |
| Case (11–21) | 373 (21.1) |
HADS, Hospital Anxiety and Depression Scale; WHO-5, WHO Five Well-Being Index.