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Situación laboral en personas con Long-COVID: Análisis de factores
sociodemográficos y clínicos asociados
Employment status in Long-COVID patients: An analysis of associated socio-
demographic and clinical factors
Sandra León-Herrera1, Mario Samper-Pardo 2* & Ángela Asensio-Martínez 3, 4, 5
1 Departamento de Medicina. Universidad de Zaragoza. Facultad de Medicina Edificio A, 50009
Zaragoza, España.
2 Departamento de Ciencias de la Salud. Universidad de Zaragoza. Facultad de Ciencias de la Salud. C.
de Domingo Miral, s/n, 50009 Zaragoza.
3 Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS,
RD21/0016/0005), Instituto de Salud Carlos III, Madrid, España.
4 Instituto de Investigación Sanitaria Aragón (IIS Aragón). C. de San Juan Bosco, 13, 50009 Zaragoza,
España.
5 Departamento de Psicología y Sociología. Universidad de Zaragoza. Calle Violante de Hungría, 23,
50009 Zaragoza, España.
*Corresponding author: msamperpardo@gmail.com
Recibido 2022-11-09. Aceptado 2023-04-14
Resumen
Introducción: La sintomatología característica del síndrome de Long-COVID afecta al funcionamiento
físico y cognitivo de las personas que lo padecen, creando desafíos a la hora de regresar a su puesto
de trabajo habitual. El objetivo del presente estudio fue profundizar en la comprensión acerca de la
situación laboral de las personas que padecen este síndrome y sus factores sociodemográficos y
clínicos asociados. Material y métodos: Se realizó un estudio transversal con la participación de 83
pacientes con diagnóstico de Long-COVID, mayores de 18 años y atendidos desde Atención Primaria
de Salud en la Comunidad Autónoma de Aragón. La variable principal de estudio fue la situación
laboral de los participantes, además de recogerse datos sociodemográficos y clínicos mediante la
realización de una entrevista estructurada. Posteriormente se reali un análisis estadístico
descriptivo, de correlación y de regresión mediante el programa SPSS Statistics. Resultados: De los 83
participantes del estudio, un 55,4% se encontraba en situación laboral activa, y un 44,6% en situación
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de incapacidad laboral temporal. Un mayor número de síntomas persistentes y pertenecer al género
masculino fueron factores predictores de una mayor probabilidad de encontrarse en situación de
incapacidad laboral temporal. Discusión: Un gran porcentaje de personas con Long-COVID se
encuentran de baja o incapacidad laboral temporal, lo que la necesidad de elaborar programas de
prevención y actuación desde equipos de atención sociosanitaria con el objetivo de estas personas no
pierdan su empleo de manera temporal o definitiva o, si esto ya ha sucedido, recuperen su situación
laboral previa cuanto antes.
Palabras clave: Long-COVID; incapacidad laboral temporal; Atención Primaria de Salud; género;
estudio cuantitativo.
Abstract
Introduction: The characteristic symptomatology of Long-COVID syndrome affects the physical and
cognitive functioning of people who suffer from it, creating challenges when returning to their usual
job. The objective of this study was to deepen the understanding of the employment status of people
with this syndrome and its associated sociodemographic and clinical factors. Material and methods:
A cross-sectional study was carried out with the participation of 83 patients diagnosed with Long-
COVID, over 18 years of age and attended by Primary Health Care in the Autonomous Community of
Aragon. The main study variable was the employment status of the participants, in addition to
collecting sociodemographic and clinical data through a structured interview. Subsequently, a
descriptive, correlation and regression statistical analysis was performed using the SPSS Statistics
program. Results: Of the 83 study participants, 55.4% were in an active employment situation, and
44.6% in a situation of temporary incapacity for work. A greater number of persistent symptoms and
belonging to the male gender were predictors of a greater probability of being in a situation of
temporary incapacity for work. Discussion: A large percentage of people with Long-COVID are on sick
leave or temporary incapacity for work, which makes it necessary to develop prevention and action
programs from socio-health care teams with the aim of these people not losing their jobs temporarily
or permanently or, if this has already happened, return to their previous work situation as soon as
possible.
Keywords: Long-COVID; temporary incapacity for work; Primary Health Care; gender; quantitative
study.
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INTRODUCTION
Most people infected with COVID-19 recover within a few weeks of infection. However, since the start
of the pandemic, a notable percentage of patients have reported the persistence of multiple
symptoms, even weeks after contracting the illness, regardless of the initial severity of the disease. In
May 2020, the term "Long COVID" or "persistent COVID" was coined in reference to this condition
(Castanares-Zapatero et al., 2022), with multiple definitions arising in reference to the same. In
October 2021, the World Health Organization (WHO) proposed the term "post-COVID-19 condition",
defined as persistent symptoms that cannot be explained by an alternative diagnosis, and that
typically occur 3 months after the onset of the confirmed (via suspicion or test) SARS-CoV-2 infection
and persist for at least two months (Ceban et al., 2022).
At least 203 symptoms of this disease have been recorded (Davis et al., 2021). These symptoms are
more frequent in middle-aged women, around the age of 40, having no relevant prior health issues
(López-Sampalo et al., 2022). The most common symptoms include: general malaise, dyspnea, fatigue,
muscle weakness, headache, neurocognitive conditions, and irritability, stress, frustration, or
confusion (Rodriguez-Sanchez et al., 2022).
Most research on COVID-19 has focused on analyzing its nature, symptoms, therapeutic interventions,
vaccine effectiveness, etc. Studies on the ongoing impact of Long COVID on the quality of life of
affected patients are quite limited (Jandhyala, 2021). Scientific evidence suggests that individuals
suffering from Long COVID may experience a significant reduction in quality of life, at least
temporarily, resulting in a potentially disabling condition (Aiyegbusi et al., 2021; Hereth et al., 2022).
Work is one of the main dimensions influencing quality of life. The limited evidence available on the
repercussions of Long COVID in the socio-labor sphere suggests a temporary or permanent inability to
resume normal work activity, having clear implications on labor productivity and increasing long-term
cost-effectiveness (Rajan et al., 2021). Some of the persistent symptoms mentioned above may
become highly limiting, affecting physical and cognitive functioning and creating challenges when
returning to work (Davis et al., 2021; Westerlind et al., 2021; Brehon et al., 2022; Ziauddeen et al.,
2022).
Employment is an essential aspect of adult life, providing not only economic income, but also a sense
of commitment, identification with a social role, and physical and mental stimulation (Noh et al.,
2015). Real and perceived employability has even been proposed as a useful concept in health
promotion, at both an individual and organizational level (Berntson & Marklund, 2007).
On the other hand, the inability to work has negative effects on the state of health (Boot et al., 2011),
resulting in a higher probability of suffering from mental health issues (Nystuen et al., 2016) and other
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consequences such as inactivity, social isolation, lower self-confidence and even an increased risk of
suicide (Vingård et al., 2016). Individuals who cannot work tend to experience declines in their health-
related quality of life, which potentially interferes with the disease recovery process (Bernklev et al.,
2006; Sörensen et al., 2008). Furthermore, these effects and consequences could extend sick leave
time, considerably increasing the risk of becoming unemployed (Madan et al., 2021).
Studies on the impact of Long COVID on the work area are necessary to implement strategies
encouraging the return to work by these individuals, which may be similar to programs that have
already been created for other chronic conditions (Godeau et al., 2021).
Therefore, the objective of this study was to further the understanding of the employment situation
of Long COVID patients and the sociodemographic and clinical factors associated with it, within the
context of a sample of primary healthcare (PHC) patients from the autonomous community of Aragon.
MATERIAL AND METHODS
Study design
This cross-sectional study is based on the analysis of sociodemographic and clinical data. It was framed
within a randomized clinical trial: "Analysis of the symptoms and quality of life of people diagnosed
with Long COVID-19, and effectiveness of the Recommendations for Health Assets from PHC" (ref.
ISRCTN91104012), approved in mid-2021.
Participants and procedure
The study population consisted of 83 patients diagnosed with Long COVID, over the age of 18,
attended by primary healthcare (PHC) services of the autonomous community of Aragon (Spain).
Given the main focus of the study, the sample only included actively employed individuals or those
experiencing temporary leave situations. Patients with any other type of employment situation
(retirement, permanent work disability, or unemployment) were excluded from the study.
This research has used the same exclusion criteria established for the clinical trial: not having had a
positive COVID-19 diagnostic test performed at least 3 months previously; having a diagnosis of
severe, uncontrolled illness; having a significant risk of suicide; being in a state of pregnancy or period
of lactation; participating in a clinical trial over the past six months; engaging in rehabilitative or
psychotherapeutic treatment structured by health professionals; and the presence of any medical,
psychological or social problems that could significantly interfere with the patient's participation in
the study.
A necessary sample size of 78 subjects was estimated. Initially, there were 100 potential participants,
of whom 20 were men and 80 were women. However, 17 of these patients were excluded given that
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their work situation did not correspond to the inclusion criteria mentioned above. Finally, the sample
consisted of 83 patients.
Recruitment took place between October 2021 and February 2022, until reaching the necessary
sample size. Recruitment was carried out mainly by PHC health professionals, in collaboration with
the project, within a PHC consultation setting in which potential patients were recruited as potential
study participants. Members of the Long COVID Association of Aragon also participated.
Sociodemographic and clinical data were obtained directly from information provided by the patients
during their initial interview, collected in an ad-hoc questionnaire. Prior to data collection, informed
consent was obtained from all participants. An individual appointment was subsequently arranged.
All data was processed according to the current regulations on data protection (Organic Law 3/2018,
of December 5, Protection of Personal Data and guarantee of digital rights).
Study variables
The main study variable was the employment status of the Long COVID patients, considered to be
either: active employment status or on temporary leave.
The following secondary study variables were collected:
- Sociodemographic variables: sex (male/female/other), age (number), marital status (married or with
a partner/single, separated, divorced or widowed), area of residence (rural/urban), education
(without studies or with primary/secondary education or university studies), and personal economic
situation (<2000/>2000).
- Clinical variables related to Long COVID-19: The number of symptoms was collected for each
participant. According to a previous bibliographic review (Greenhalgh et al., 2020; NHS, 2022.; Vaes
et al., 2020), residual symptoms included: gastrointestinal symptoms, full or partial alteration of smell,
full or partial alteration of taste, eye problems (diopter increase, dry eyes, conjunctivitis, blurred
vision), tiredness or fatigue, cough, fever (over 38°C), low-grade fever (37°C - 38°C), chills or shaking
without fever, bruising, myalgia, headache, sore throat, dyspnea, somnolence, dizziness, tachycardia,
orthostatic hypotension, arthralgia, chest pain, back pain (cervical, thoracic or lumbar), neurological
symptoms (tingling, spasms, etc.), memory loss, foggy mental illness, lack of attention and ability to
concentrate, loss of libido or erectile dysfunction, menstrual cycle alterations, urinary symptoms
(infections, overactive bladder), hair loss and other seemingly residual symptoms.
Statistical analysis
Statistical analyses were performed using the IBMR SPSSR Statistics version 22.0.0.0 software and
Microsoft Excel. First, sample distribution was analyzed using non-parametric statistics, obtaining
Shapiro-Wilk statistic values of less than 0.05 for all variables except for the number of symptoms.
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Subsequently, a descriptive analysis was performed: for the continuous variables, median and
interquartile range were used; for categorical variables, frequencies and percentages were used. A
bivariate analysis was also conducted. Employment status was analyzed as a categorical qualitative
variable (employee or temporary work incapacity). The Spearman's Rho statistic was used to evaluate
correlations between actively employed and temporarily disabled patients and the other categorical
variables. A bivariate analysis of continuous variables was performed using the Mann-Whitney U test.
Then, a logistic regression model was developed to analyze the factors related to the situation of
temporary work incapacity. Independent variables were added to the regression model and a final
model was obtained. Sex, marital status, education, economic level, and number of persistent
symptoms were entered into the model. All significance levels were established at 0.05.
Ethical considerations
The Clinical Research Ethics Committee of Aragon (CEICA) granted ethical approval to conduct this
study (PI21/139 and PI21/454). The procedures contemplated for the creation of this work complied
with the ethical standards of CEICA and the Declaration of Helsinki of 1975. All participating subjects
signed an informed consent form. Their data were anonymized and were only used for study purposes.
RESULTS
A total of 83 individuals suffering from Long COVID participated in the study. They were actively
employed (55.4%) or in a situation of temporary work incapacity (44.6%). Of these participants, 65
were women (78.3%) and 18 men (21.7%). The median age was 46 years (IQR 9 years, range: 34-63).
Table 1 presents a description of the entire sample. The participant profile tended to be female,
around 46 years of age, living in an urban area, married or with a stable partner, and having secondary
or university studies. Greater variability existed in terms of their employment situation, economic
income, and number of symptoms. They tended to be actively employed, with an income of less than
€2,000/month and having a median of 16 persistent symptoms.
Table 1
Description of the sociodemographic and clinical variables of the total sample.
Variables
Total sample
Sex, N (%)
Male
Female
18 (21.7%)
65 (78.3%)
Age, Me (RIC)
46 (9)
Occupational status, N (%)
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Active employment status
Temporary work incapacity
46 (55.4%)
37 (44.6%)
Residence area, N (%)
Rural
Urban
14 (17.1%)
68 (82.9%)
Marital status, N (%)
Married or in a couple
Single, separated, widowed
60 (72.3%)
23 (27.7%)
Educational level, N (%)
No studies or primary studies
Secondary or university studies
5 (6.0%)
78 (94.0%)
Economic income, N (%)
Less than or equal to 2000€/month
More than 2000€/month
46 (55.4%)
37 (44.6%)
No. of persistent symptoms, Me (RIC)
16 (7)
N: Population size; Me: Median; IQR: Interquartile Range
Table 2 presents the bivariate analysis related to employment status (employee and temporary work
incapacity) and the sociodemographic and clinical variables collected. A relationship clearly existed
between employment status and sex. Males had a larger possibility of being in a situation of temporary
work incapacity. Having a larger number of persistent symptoms was also found to be related to this
employment situation.
Table 2
Comparison of the current employment situation and the sociodemographic and clinical variables of the study participants.
Variables
Employee (N=46)
Temporary work
incapacity
(N=47)
P-value
Sex, N (%)
Male
Female
5 (27.77%)
41 (63.07%)
13 (72.22%)
24 (36.92%)
0.008
Age*, Me (RIC)
46 (8.25)
47 (12.5)
0.483
Marital status, N (%)
Married or in a couple
Single, separated, widowed
33 (55%)
13 (56.52%)
27 (45%)
10 (43.47%)
0.901
Residence area, N (%)
Rural
Urban
8 (57.14%)
37 (54.41%)
6 (42.85%)
31 (45.58%)
0.852
Educational level, N (%)
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No studies or primary studies
Secondary or university studies
1 (20%)
45 (57.69%)
4 (80%)
33 (42.30%)
0.100
Economic income, N (%)
Less than or equal to 2000€/month
More than 2000€/month
22 (47.82%)
24 (64.86%)
24 (53.17%)
13 (35.13%)
0.121
No. of persistent symptoms*, Me (RIC)
15 (9.25)
18 (6)
0.016
Chi-Square test for categorical qualitative variables (sex, marital status, housing area, educational level, economic situation); *Mann Whitney
U test for continuous quantitative variables (age and number of symptoms)
As for the logistic regression model, the results are presented in Table 3. Gender and number of
symptoms were significant variables when in a situation of temporary sick leave. A higher number of
persistent symptoms and being male were predictors of having a greater probability of being in a
situation of temporary work incapacity.
Table 3
Logistic regression model on the temporary incapacity work situation.
Temporary work incapacity
Exp (B)
Odds ratio
Confidence interval 95%
p-value
inferior
Superior
Male sex
5.878
1.570
22.012
0.009
Female sex
Number of persistent symptoms less than or
equal to 16
0.163
0.050
0.528
0.002
Number of persistent symptoms greater
than 16
DISCUSSION
To the best of our knowledge, this is the first study considering the employment situation of patients
suffering from Long COVID in Spain, and the sociodemographic and clinical factors associated with this
situation. Recent scientific evidence on this novel syndrome suggests that the typical clinical profile of
this population differs depending on the individual (Michelen et al., 2021). This suggests that its impact
on roles and life will also be different for each person, and may have repercussions at the family, social
and work levels (Sociedad Española de Médicos Generales y de Familia [SEMG] & Colectivo de
pacientes Long Covid ACTS., 2020). As for work, it is important to determine how this pathogen may
affect it and what factors may be linked to affectation. This will permit interdisciplinary socio-
healthcare teams to help prevent work modification or loss, and develop action programs so that
these individuals can return to their work and recover their prior employment status as quickly as
possible.
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The results of our study suggest that many participants (almost half) were in a situation of temporary
work incapacity. This confirms the existence of a negative modification of the employment status of
individuals suffering from this pathology, as corroborated by other studies (Rajan, Khunti, Alwan,
Steves, Greenhalgh, et al., 2021; Tíscar-González et al., 2022; van Kessel et al., 2022). However, we
should not assume that individuals who do return to their jobs do so at 100% of their capacities or at
their pre-illness level; or that their jobs were subsequently adapted to their limitations. Other studies
have confirmed a reduction in the ability to perform work activities at the same level as prior to
contracting the disease (Davis et al., 2021; Westerlind et al., 2021).
Going to work and having a job is a fundamental part of human life. Work provides structure to daily
life, as well as a sense of value and social commitment, and is associated with increased social well-
being. Therefore, the loss of the same has major repercussions, beyond mere economic insecurity
(Modini et al., 2016).
Sick leave is intended to facilitate the recovery of work capacity. However, it may have negative and
unexpected physical, emotional, and social effects on the individual (Floderus et al., 2005). The
temporary or permanent loss of one’s ability to work has consequences, mainly psychosocial ones,
such as the loss of personal identity and self-esteem, lower social support, and anxious-depressive
symptoms. Physical health may also be severely affected. Some studies have established a relationship
with reduced immune function, and an increased risk of conditions such as headaches,
musculoskeletal disorders, ulcers, increased blood pressure, or weight gain (Akhavan et al., 2004).
Prolonged, this may even lead to permanent disabilities (Markussen, 2012).
Therefore, it may be concluded that if an individual loses the ability to work, even for a short period
of time, or if they experience decreased labor productivity, their health and well-being may be
negatively affected, potentially leading to a poorer disease prognosis.
Our study analyzed the clinical and sociodemographic factors potentially associated with a temporary
work incapacity situation. As for the clinical factors analyzed, it was found that having a larger number
of persistent symptoms was associated with an increased tendency to be in a temporary work
incapacity situation. Other studies have referred to the disabling nature of Long COVID symptoms,
which result in a limited ability to perform work and an accompanying loss of social identity (Herr et
al., 2022).
In this study, we did not consider which symptoms may have the largest impact on the ability to work.
However, Herr et al. (2022) suggested that fatigue and cognitive dysfunction are the most disabling
symptoms with regard to work. A careful and individualized evaluation of each symptom is necessary,
given the numerous potential aspects affecting this area (Hereth et al., 2022).
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Most studies on Long COVID symptomatology and gender have confirmed that women tend to display
more symptoms than men (Abdelhafiz et al., 2022; Torjesen, 2021). Based on the results of the analysis
of associated clinical factors from our study, it may be predicted that women will have more
limitations when returning to work.
However, the analysis of sociodemographic factors in this study, and the results of other research on
this type of population, such as that of Westerlind et al. (2021), confirm that being male is a predictor
of temporary work incapacity situations (Westerlind et al., 2021). This may be due to the fact that men
tend to have a poorer perception of their health (Ruiz Pérez et al., 2007) or because gender-based job
segregation continues to exist, leading men to select work involving greater physical effort, such as
that of the construction industry, which may be more difficult to return to after a disease with limiting
physical symptoms (Barbulescu & Bidwell, 2012; Hegewisch & Hartmann, 2014).
Strengths and limitations of the study
To date, no prior studies have examined the clinical and sociodemographic factors that predispose
patients of Long COVID to request sick leave or be in temporary work incapacity situations. Therefore,
this is a novel study that attempts to shed additional light on a disease that has yet to be studied in
depth and which affects all of the vital spheres of the individual, including the work area. Study
limitations include the fact that, in the analysis of clinical variables, the symptoms appearing with this
pathology have yet to be examined in depth, but rather, they have been analyzed in general,
considering the number of residual symptoms. It would be interesting for future lines of research to
examine the individual symptoms, to determine which are the most predisposed to cause reduced
labor productivity and temporary, or even permanent job loss. Another limitation of this work is that
the study population focused only on the autonomous community of Aragon. Future research should
consider the employment situation of patients with Long COVID by expanding this context or region
of analysis.
CONCLUSIONS
To conclude, many individuals with Long COVID symptoms are on sick leave or in a temporary work
incapacity situation. The sociodemographic and clinical factors appearing to favor this situation
include being male and having a larger number of symptoms. It is important to consider these factors
when creating social and healthcare prevention and action programs, to ensure that Long COVID
patients do not temporarily or permanently lose their jobs. And, if they already have lost them, help
them return to work as quickly as possible.
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AVAILABILITY OF DATA AND MATERIALS
The datasets used and/or analysed during the current study are available from the corresponding
author upon reasonable request.
DECLARATION OF INTEREST
No potential conflict of interest was reported by the authors.
FUNDING
This work is supported by Carlos III Health Institute, grant number PI21/01356. The funders have no
role in study design, data collection, analysis, decision to publish or manuscript preparation. The
funding organisation will conduct an audit trial once a year.
AUTHOR CONTRIBUTIONS
SL-H and MS-P drew up the research design and developed the study. SL-H wrote the manuscript. All
authors participated in the review of the manuscript, approved the final manuscript to be published,
and agreed to the journal’s terms regarding copyright.
ACKNOWLEDGEMENTS
We wish to thank the Aragonese Primary Care Research Group (GAIAP, B21_20R) that is part of the
Department of Innovation, Research and University in the Government of Aragón (Spain) and the
Institute for Health Research Aragón (IIS Aragón); the Research Network on Chronicity, Primary Care
and Health Promotion (RICAPPS, RD21/0016/0005) that is part of the Results-Oriented Cooperative
Research Networks in Health (RICORS) (Carlos III Health Institute); and Feder Funds ‘Another way to
make Europe’.
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