1. INTRODUCTION
Entrepreneurs, executives, and any individuals in decision-making positions are frequently exposed to emotionally tense situations that they must manage in order to navigate the challenges of business administration, ensuring the continuity of the enterprise and achieving milestones that secure successful market positioning (). Those emotionally tense situations, accompanied by stress, affect the venture and also their well-being. There is an abundant literature that has explored stress in the work environment, and particularly in the entrepreneurship work (; ). Despite the relevance of stressors potentially leading to mood disturbances, anxiety symptoms, or even burnout, references in the literature specifically addressing such manifestations among women in corporate decision-making roles remain exceedingly scarce. Moreover, within the general population, some studies suggest a certain degree of controversy (). Some studies suggest that certain stressors, for individuals in positions of responsibility, may act as motivators, whereas for others, they become obstacles (). In this regard, some authors even argue that the level of psychological capital serves as a protective factor against emotional and motivational consequences ().
The emotional response to work-related conditions has long been a subject of interest within occupational psychology, leading to the development of explanatory theoretical frameworks. One such theoretical model of psychological stress in the workplace is the 'job demand/job control' model (; ; ; ). According to this model, when job demands are high and the degree of control over one’s work is low, a detrimental form of stress arises that negatively impacts health. This is a theoretically relevant aspect for the practical observation of women in leadership roles, as their daily activity typically involves high demands, yet their leadership position affords them a certain degree of control. Other studies () have reinforced this line of inquiry, indicating that psychological distress—not exclusively among individuals in leadership positions—is essentially associated with the interplay between job control and job strain.
The role of mood disorders, symptoms of anxiety, and particularly the so-called burnout syndrome is a matter of particular interest within a population of women in executive positions, whose responsibilities constitute the motivation for this study. For women executives and in entrepreneurial positions, the pressures associated with management may be intensified by the self-perceived performance (), or by the domestic roles they typically balance alongside their professional activities (). Family dynamics and achievement expectations placed on women entrepreneurs can act as stressors or even barriers to entrepreneurship, as highlighted by some studies (). The literature has already addressed this issue, analysing the balance between personal and professional life for women entrepreneurs () and emphasizing the importance of public policies in maintaining this balance (). Additionally, the link between mood disorders, anxiety, and burnout in the workplace has been studied in various works (; ). However, issues related to mental health and its impact on the work performance of women entrepreneurs remain a scarcely studied topic.
Anxiety is defined as the anticipatory emotional response to an imminent threat, whether real or imagined. The global prevalence of anxiety is estimated to be around 7.3%. In Europe, it stands at 1.8%, with higher rates among women (1%-5.6%) than men (0.6%-1.5%) (). The World Health Organization () reports that anxiety disorders impacted 301 million individuals suffering, data for the year 2019. Stress is the physiological response to anxiety, often characterized by headaches, discomfort, tension, fatigue, stomach upset, or loss of sleep. Generally, it is transient and can be either positive (eustress), motivating the individual to overcome the difficulty, or negative (distress), which exhausts the person, preventing clear thinking to resolve the source of concern. Depression is a mood disorder that may include symptoms such as sadness, a sense of emptiness, frustration, and irritability, feelings of guilt, worthlessness, or helplessness, anhedonia or loss of interest in pleasurable activities, and cognitive difficulties in concentrating, remembering, or making decisions. Additionally, it can lead to loss of appetite and weight, pain, and other physical symptoms. In more persistent and severe cases, it may include suicidal ideation and even suicide attempts (). According to WHO (2022) data, by 2019, depression affected approximately 280 million people globally, representing 5% of the adult population. This condition is more prevalent in women than men. Burnout syndrome is an inadequate response to a process of chronic stress specifically related to the work environment. Gil-Monte and define it as a reaction to prolonged work-related stress, which involves negative attitudes and feelings towards colleagues and one's own work, along with a sense of exhaustion. Regarding burnout, WHO (2022) stated that around 25% of workers experienced this syndrome, though WHO notes that the figure has gradually declined since the end of the COVID-19 pandemic.
Mood disorders, in addition to their psychological effects, are associated with productivity losses and entail related social costs (; ). Psychological disorders such as depression, anxiety, and the characteristic conditions of burnout syndrome can lead to absenteeism, that is, absences from work due to leave or even medical sick days. Absenteeism is typically measured by the number of days absent; in contrast, presenteeism is more challenging to quantify. Presenteeism is characterized by a reduction in performance without physical absence from the workplace, linked to a lack of focus on the task at hand. The individual is not fully engaged in their work activities during working hours (; ). The connection between burnout, job dissatisfaction, absenteeism, and presenteeism has been corroborated in a literature review (). Some authors () have highlighted the link between presenteeism and workload, which tends to be high among small entrepreneurs, as the entire responsibility for the business falls on them. The evidence remains somewhat controversial. While some studies indicate that entrepreneurship can lead to toxic stress levels, they also find that, on average, entrepreneurs experience less job burnout than employees. According to certain authors, solo entrepreneurs exhibit the lowest burnout risk compared to other entrepreneurial groups (). In this sense, professional experience has been proposed as a factor that helps reduce emotional disturbances associated with decision-making in individuals holding managerial or entrepreneurial positions (). In this regard, several studies have underscored the importance of coping strategies among entrepreneurs to ensure their mental health ().
Despite the marked interest in the influence of emotional and psychological factors in general among entrepreneurs and individuals in decision-making positions, as well as the controversies raised, evidence specifically regarding women in these roles remains limited. The novelty of this study lies in assessing the incidence of mood disturbances, anxiety, and burnout among a population that, to the best of our knowledge, has been the focus of very few empirical studies: women in decision-making roles, entrepreneurs, and executives. The aim is to explore potential links between these psychological disturbances and the demographic profiles and labour market positions of these women. Additionally, the study seeks to determine whether there is any relationship between these psychological signs and perceptions of performance, absenteeism, and presenteeism, given the implications these factors have for business management and viability.
Consequently, the primary objective of this study is to analyse the relationship between mood disorders and the socio-professional profile of female entrepreneurs or executives. Given the impact of the business class on the generation of wealth within a country or region, obtaining reliable information on whether high levels of stress impair decision-making is of particular relevance. The study is structured around two hypotheses. The main hypothesis (H1) is that female entrepreneurs and executives exhibit more symptoms of anxiety than of depression. This predominance of anxiety contributes to maintaining motivation and resilience in the face of adversity, resulting in relatively low levels of burnout within this population. In line with this, the second hypothesis (H2) posits that the presence of mood-related symptoms has a minimal impact on absenteeism and medical leave rates.
The structure of the manuscript is organised as follows: an Introduction, which outlines the relevance of the study and the scarcity of similar research, supported by various bibliographic references that highlight the study’s contribution to addressing a knowledge gap. The Methods section describes the procedure followed, including ethical committee approval, sample size, the instruments administered, and the rationale for their selection. The Results section presents the findings without interpretation, alongside the statistical tests employed and their corresponding outcomes. The Discussion is focused on interpreting the results in light of existing knowledge. The Conclusions section reflects the authors’ interpretation of the findings. Finally, the manuscript includes a section on the Practical implications and potential applications of the study, as well as a section addressing its Limitations and proposing Future lines of research.
2. METHOD
This study was conducted using a non-random cross-sectional design based on a sample obtained through the selfless/disinterested collaboration of businesswomen and executives of Galicia. Galicia is a region at the northwest of Spain. In the compilation of data has been key the support of "Woman Emprende" an initiative by the University of Santiago de Compostela (Spain), which promotes entrepreneurship among female university students in Galicia; and the association of businesswomen and executives "Executivas de Galicia". "Executivas de Galicia" is an association with a strong representation of the female entrepreneurial community in Galicia. The last one comprises nearly 300 professionals from various executive and managerial fields, both public and private. The design of this study was previously approved by the Ethics Committee of the University of Murcia (Spain), registration no: 3512/CEIH/2023. No data that could identify the respondents, nor any data that could allow identification through cross-referencing, was gathered to ensure the anonymity of the participants (e.g., the name of the company or information regarding residence data below the provincial level was not recorded). The people who analysed the data were blind to the origin of it. As an inclusion criterion, participants were required to provide informed consent, be female, and currently hold a position as a business owner or executive within a company.
A total of 223 women in positions of responsibility and/or business ownership responded to the questionnaire. After excluding incomplete cases in essential elements (e.g., not responding to the mood and burnout questionnaires, women in employee positions, neither executives nor business owners), a total of 199 cases were analysed. Data were collected from mid-February to mid-May 2024.
The questionnaire was divided into four sections, requesting: a) information related to their sociodemographic profile, b) data on health and mood status, including the Goldberg Anxiety and Depression Scale () (see Appendix 1) and the Burnout Clinical Subtype Questionnaire (BCSQ-12) ), c) questions regarding the impact on their social and personal lives, and d) data concerning the personal economic repercussions related to their mood over the past 12 months (see Appendix 2). The mood and burnout questionnaires, following their respective protocols, referred to the preceding two weeks.
The Goldberg Anxiety and Depression Scale (GADS) is designed to be used by non-psychiatrists and provides dimensional measures of the severity of each disorder. Each section consists of nine questions addressing signs of anxiety and depression, respectively. The full set of nine questions should only be administered if there are positive responses to the first four. In the anxiety section, at least two positive answers are required among the first four questions to proceed with the remaining five. In the depression section, at least one positive response among the first four questions is necessary to continue with the remaining five questions. Thus, scores range from 1 to 9 in each section, and consequently from 1 to 18 in the entire test. The Goldberg test has been validated across various clinical and non-clinical settings (; ), as well as among different population groups, including the assessment of outcomes by gender. In this case, no differences attributable to gender were found in the test results ().
Burnout has conventionally been conceptualised as a multidimensional construct encompassing exhaustion, cynicism, and inefficiency. The Burnout Clinical Subtype Questionnaire (BCSQ-12) ) has identified three distinct subtypes: the frenetic subtype, associated with overload; the under-challenged subtype, linked to a lack of development; and the worn-out subtype, connected to neglect. The BCSQ-12, which operationalises the dimensions of overload, lack of development, and neglect, is posited as a succinct yet theoretically grounded instrument for capturing the diverse phenomenological expressions of burnout. According to the test authors, the BCSQ-12 offers advantages over the gold standard instrument for measuring burnout, the Maslach Burnout Inventory General Survey (MBI-GS) (; ), in characterising work-related discomfort experienced in relation to one's occupation. The BCSQ-12 has been employed with various types of populations (; ) and has been specifically validated with the Spanish population. The test comprises 12 statements that individuals are required to rate on a scale from 1 to 7, where 1 indicates strong disagreement with the statement, and 7 indicates strong agreement. Consequently, the total score on the burnout test ranges from 12 (indicating a very low level of burnout) to 84 points (indicating the highest level of burnout).
In the BCSQ-12 test, the items are additionally grouped into three dimensions: Overload, Lack of Development, and Neglect. The Overload dimension includes items related to: excessive dedication to work, restriction of personal life, the perception that work poses a health risk, and the neglect of personal needs. The Lack of Development dimension comprises items about: the desire for another job, the view that work is an obstacle to personal development, the belief that work limits the expression of talent, and the consideration of work as a limitation of personal opportunities. The Neglect dimension includes items related to: the desire to leave the job, the capacity to resist frustration, the intention to abandon work when faced with difficulties, and items related to the willingness to give up at work when it requires more effort.
3. RESULTS
First, the data from the descriptive statistical analyses, based on central tendency and dispersion measures —means, medians, and standard deviations (SD)— are presented. Correlation analyses are then performed. When applicable, a robust linear correlation or ANOVA was conducted, depending on the type of variables. In cases where the criteria for these tests were not met, a non-parametric test was used: either the Kruskal-Wallis test or Spearman’s rank correlation, depending on the characteristics of the variables. Finally, the analysis was completed by applying a binary logistic regression to estimate the probabilities of absenteeism based on other variables of interest in the study. The odds ratios were calculated. For the data analysis, the statistical software Stata 14.1 was used.
3.1. Sociodemographic characteristics
Table 1 provides a summary of the sociodemographic characteristics of the population under study. The mean age of the women surveyed is 47.01 years (SD 9.28). The mean age varies according to marital status, being lowest among single women (40.32 years, SD: 9.10) and highest among widows (55.6 years, SD: 0.84). The number of children is similar across all cases. The highest number is found among widows (1.59 children, SD: 0.73) and married women (1.56 children, SD: 0.99). The lowest is among single women (0.34 children, SD: 0.76). Regarding children under 18 years of age, the highest figure is among married women (0.76 children, SD: 0.87) and the lowest among single women (0.31 children, SD: 0.70).
| Variable | Value | Mean or % (SD) |
|---|---|---|
| Sex (*) | Women | 100% |
| Age | Years | 47.01 (9.28) |
| Marital status | Married (**) | 52.76% |
| Single | 29.65% | |
| Divorced | 14.57% | |
| Widow | 2.51% | |
| Other | 0.50% | |
| Number of children | Number | 1.20 (1.05) |
| Number of children under 18 years of age | Number | 0.62 (0.83) |
| Do you have a dependent in your care? | Yes | 34.67% |
| Relationship with the dependent (if applicable) | Minors | 63.77% |
| Adults | 18.84% | |
| Both | 17.39% | |
|
Educational level ,according to the ISCED- 2011 classification (International Standard Classification of Education 2011 (EuroStat, 2024)) |
Level 0 – Early childhood education (‘less than primary’ for educational attainment) |
0.00% |
| Level 1 – Primary education | 1.51% | |
Level 2 – Lower secondary education |
3.52% | |
Level 3 – Upper secondary education |
4.52% | |
Level 4 – Post-secondary non- tertiary education |
8.04% | |
Level 5 – Short-cycle tertiary education Level 6 – Bachelor’s or equivalent level (***) |
36.18% | |
Level 6 – Master’s or equivalent level Level 7 – Doctoral or equivalent level (***) |
46.23% | |
|
Seniority in the labour market (in years) |
General sample | 19.57 (10.23) |
| Businesswoman | 17.39 (10.51) | |
| Executive | 21.54 (9.87) | |
| Both positions | 20.26 (9.95) | |
|
Tenure in the current position (in years) |
General sample | 9.91 (8.84) |
| Businesswoman | 8.82 (8.58) | |
| Executive | 11.40 (8.84) | |
| Both positions | 9.92 (9.05) | |
| Legal form of the company | Limited Liability Company (LLC) | 26.63% |
| Employee-owned private limited company | 1.01% | |
| Single-member private limited company | 1.01% | |
| Civil partnership | 2.01% | |
| Self-employed individual | 53.77% | |
| Cooperative | 3.02% | |
| Public limited company (PLC) | 5.03% | |
| Public Administration | 2.01% | |
| Non-Governmental Organisation (NGO) | 3.52% | |
| Others | 2.01% |
Among the women who identified themselves as businesswomen, the most common legal form of practice was as self-employed (78.87%). Among those who defined themselves as executives but not self-employed, the majority worked in limited liability companies (LLC) (30.77%). Large commercial companies, specifically Public Limited Companies (PLC), represented a small percentage of the sample, accounting for 5.03% of the total. Across the entire sample, the most frequent professional practice was as self-employed (53.77%). For those who indicated that they held both positions, businesswomen and executives, the most common form was again as a self-employed professional (44.74%). Experience, measured as seniority in the labour market, as shown in Table 1, is approximately 20 years (19.57 years, SD: 10.23), while tenure in the current position is around 10 years (9.91 years, SD: 8.84). As can be seen in Table 1, it is higher in the case of executives, 11.40 years (SD: 8.84).
For the subsequent analysis, the legal forms of the companies will be grouped into five categories: those where personal asset risk is limited (PLC, Employee-Owned PLC, Single-Member PLC); those structured as partnerships but without limitation of personal asset risk (Civil Partnership, Cooperative); Self-Employed Individual; Public Limited Company (PLC); and those that are non-profit or not considered commercial enterprises (Public Administration, NGO, and others).
3.2. Signs of Anxiety, Depression and Burnout
This section will describe the main results of the paper. On the anxiety scale, the mean score was 6.23 points (SD: 3.31), with the 50th percentile at 7 points. On the depression scale, the mean score was 4.43 points (SD: 3.24), with the 50th percentile at 5 points. Overall, on the Goldberg Anxiety and Depression Scale, the mean score was 10.66 points (SD: 5.87), with the 50th percentile at 12 points.
Signs of anxiety
77.89% of the sample exhibited at least two of the principal signs considered in the anxiety test (Arousal, Feeling Worried, Emotional Irritability, Difficulty Relaxing). In these four indicators, the percentage of the sample displaying them was consistently above 56%. In three of these indicators, as illustrated in Figure 1, the prevalence exceeded 73%, reaching as high as 80.40% in the case of feelings of worry.
According with the instructions of the test, individuals who exhibited at least two principal signs of anxiety were asked to complete the following five items on the questionnaire. As shown in Figure 2, the primary complaints related to sleep quality, reported by 80.65%, and difficulties in falling asleep, expressed by 69.03% of those who responded.
Signs of depression
The signs of depression were less prevalent in the analysed sample. In the test related to this mood disorder, the four principal indicators (Lack of Energy, Anhedonia, Lack of Confidence, Hopelessness) were observed at rates ranging from 32.66% for Hopelessness to 71.36% for Lack of Energy. See Figure 3.
When at least one of these signs was present, which occurred in 69.85% of the cases, participants were asked to complete the remaining five items of the depression scale. Among the cases of individuals who completed the depression test, as shown in Figure 4, the primary complaint was related to difficulty concentrating, present in 82.01% of respondents, followed by feelings of slowed thinking (bradypsychia), reported by 68.35%.
Burnout
The level of burnout was measured using the Burnout Clinical Subtype Questionnaire (BCSQ-12) (see Appendix 2). The score for each item ranged from 1 to 7 points, which were grouped into three intensity levels for analysis based on the scores: low (1-2), medium (3-4), and high (5-7). The levels according to the scores within the sample are presented in Table 2 and Figure 5.
The mean score on the burnout test was 37.90 (SD: 13.54). The 50th percentile was 37 points. In the Overload dimension, the mean score was 18.11 (SD: 5.91), with the 50th percentile at 19 points. For the Lack of Development dimension, the mean score was 11.22 (SD: 6.79), with the 50th percentile at 10 points. In the Neglect dimension, the mean score was 8.67 (SD: 5.13), with the 50th percentile at 7 points.
As can be observed in Table 2, only in item 1, related to Excessive dedication to work, is the intensity predominantly high, with 71.21% of responses at this intensity. This is followed by item 10, related to neglection of personal needs, where there are high-intensity responses in 57.58% of cases. The majority of responses regarding the intensity of burnout signs are of a low level.
As can be seen in Table 3, when analysing burnout levels across the three dimensions —Overload, Lack of Development, and Neglect— the only dimension where high percentages are observed is in relation to Overload. Here, 46.97% of the sample exhibits high levels. In the other two dimensions, low intensity levels prevail. When examining the data by position, businesswomen consistently show higher levels across all three dimensions compared to executives and those holding dual positions, in all three burnout dimensions. The criteria for normality and homoscedasticity were assessed to determine whether a correlation between position and the score on the Overload dimension could be verified using an ANOVA test. The criteria were met. The ANOVA test yielded a p-value of 0.1875, indicating that no statistically significant relationship can be established between the position held and the level of Overload within the burnout scale.
It was examined whether there was a relationship between the results of anxiety, depression and burnout tests and the individual’s position within the company. To do so, the assumptions for conducting an ANOVA (normality and homoscedasticity) were first tested. Since these assumptions were not met, the non-parametric Kruskal-Wallis test was employed. In none of the cases was a significant relationship found between the variables.
Similarly, it was examined whether a relationship existed between levels of anxiety, depression, and burnout, and both tenure in the labour market and tenure in the current position. Since the scores on the anxiety and depression and burnout tests can be considered ordinal with a defined range, and the tenure variables as quantitative, Spearman’s rank correlation, a non-parametric measure that does not assume a linear relationship but a monotonic one, was applied. No statistically significant relationship was found between the anxiety and depression and burnout scores and the years of tenure in the labour market and current position.
3.3. Absenteeism and Presenteeism
8.18% of the sample indicated that they had experienced absences from work (not requiring medical leave) in the past 12 months that they attributed to their mood or to anxiety signs. Among those who had this type of absence, 69.44% also associated it with a poor work environment. The proportion of individuals who had taken medical leave was 17.09%.
Among women who reported medical leave from work in the past 12 months, the average was 23.44 days (SD: 68.26), although the variation is quite high. The 50th percentile is 3 days, and the 75th percentile is 14 days. The pattern is similar for work absences that do not involve medical leave. The average is 39 days (SD: 80.09), but the variation is substantial. The 50th percentile is 8.5 days, and the 75th percentile is 17.5 days. This suggests that a small number of individuals account for a significant portion of both work absences and medical leaves.
As an indicator of presenteeism, participants were asked to estimate their perceived work performance. 53.54% indicated that their performance was below 100%. The estimated performance averages 73.5 out of 100 points (SD: 24.67). Given that the score is based on a 100-point scale, this translates to an average performance reduction of 26.5%. The 50th percentile score is 80 points.
To examine the relationship between performance levels and anxiety, depression, the burnout test, and particularly the overload dimension, where the highest levels were recorded, a robust linear regression was conducted. A highly significant correlation was found between performance levels and scores in depression (α: 0.001) and the burnout test (α: 0.000). Specifically, for each increase in performance level, the depression score decreases by 2.23 points, and the burnout score decreases by 0.59 points. Regarding the anxiety scale, the correlation was near the significance threshold (α: 0.056), while in the Overload dimension, the correlation was far from being significant (α: 0.90).
To assess the likelihood of absenteeism and medical leave, the same variables were analysed using a binary logistic regression, as the absenteeism and medical leave variables are dichotomous, with yes/no values. In relation to medical leaves, the test yielded a significant result for the anxiety scale (α: 0.045). Once the odds ratio was calculated, the coefficient for the anxiety variable (0.2211) indicates that, as anxiety levels increase by one unit, the likelihood of an individual being absent from work increases by approximately 24.7%. Similarly, regarding the burnout test, the relationship was also significant (α: 0.002). Once the odds ratio for the coefficient (0.0588) was calculated, it was found that for each additional unit increase in burnout level, the probability of medical leave increases by approximately 6.05%. In the case of absenteeism, the same variables were found to be significant. In this case, the odds ratio for the anxiety variable indicated that for each one-unit increase in anxiety level (α: 0.025), the probability of having been absent from work in the last 12 months increases by approximately 26.09%. Regarding the scores in the burnout test, the relationship with absenteeism was also significant (α: 0.013). The odds ratio indicated that for each one-unit increase in the burnout test, the probability of having been absent from work in the last 12 months increases by approximately 4.78%.
3.4. Personal and social life
The social support network is limited. A total of 57.07% of the sample reported having no relationships with co-workers outside of the workplace. Among those, business owners are the most likely to report not having such relationships (40.71%). Those who report having the most relationships with co-workers (42.35%) are individuals who identify as both business owners and executives. More generally, 60.10% stated that their social life has diminished. Furthermore, 66.37% of the sample indicated that they have no social relationships, either outside of work or with co-workers. Conversely, 48.24% reported that they do maintain social relationships with co-workers and have not experienced a reduction in their social life.
Personal Economic Impact and Expenditures on Activities Related to Mental Health
The majority of the sample (69.04%) has declared a net income of less than €2,500 per month. This figure (considering only 12 payments) is clearly higher than the average salary in Spain: €2,245.24 on average, €2,029.99 on average for women, and €2,448.49 on average for men, according to the National Institute of Statistitcs (). By group, individuals in executive positions report the highest incomes. Specifically, 28.00% of executives earn between €2,501 and €3,000 net per month (compared to 7.04% of business owners), and 26.00% earn over €3,501 net per month (compared to 8.45% of business owners). A total of 90.36% reported that they had not experienced a reduction in their income over the past year. The average number of income earners per household is 1.77 (SD: 0.55). In 55.66% of the cases, the combined net household income was less than €2,500. In 27.92%, it exceeded €4,500 net.
A total of 63.93% reported that they had not consulted a mental health professional. Among those who did, the highest proportion (47.89%) identified as business owners. The average number of visits to a mental health professional in the past year was 8.28 (SD: 9.56), with the 50th percentile at 5 visits. The average annual expenditure on mental health was €603.94 (SD: €673.70). The significant variation suggests that this expenditure did not follow a normal distribution. The 50th percentile was €360.00, with a range from €0.00 to €3,750.00 per year.
In addition to specific expenditures on mental health services, participants were also asked about their use of non-specialized services with an impact on mental well-being (e.g., yoga classes, hiking, sports, etc.). Of the respondents, 58.88% engaged in such activities to improve their mental health. Among those who did, executives were the group that utilized this strategy the most (68.00%). The average expenditure on these mental well-being activities was €711.84 (SD: €904.21). The considerable variability in spending is reflected in a range from €0.00 to €7,000.00 per year, with the 50th percentile at €500.00 per year.
4. DISCUSSION
There is a notable scarcity of studies —such as the one we have conducted— focusing on women entrepreneurs or executives and the links between mood disorders, anxiety, burnout, and absenteeism behaviours, despite the considerable implications these emotional disturbances may have for individuals in positions of business leadership and decision-making. Decision-makers, such as female entrepreneurs and executives, are frequently required to navigate highly uncertain scenarios, which may significantly impact the future of their companies, their personal assets, and the livelihoods of employees under their supervision. It is, therefore, logically expected that such circumstances could lead to elevated levels of emotional distress. Additionally, entrepreneurial women often juggle their professional responsibilities with caregiving duties, such as caring for children and dependent family members. This dual role increases the likelihood of encountering stressful situations. However, a high level of resilience often observed in entrepreneurial profiles may explain why, despite the personal and business-related challenges, average levels of anxiety, depression, and burnout have been relatively low in our results. established a positive association between resilience and venture survival, indicating that ventures demonstrating greater resilience are more likely to endure in the long term. In other studies, such as that conducted by on a sample of 1,848 Polish entrepreneurs —without disaggregation by gender— the focus was placed on personality traits, a theme that lies outside the scope of our investigation, although it represents a promising line of enquiry. It is possible that the three factors identified among micro-entrepreneurs (openness to experience, conscientiousness, and extraversion) also contribute to a characteristic emotional tendency that fosters resilience. The ability to cope with adversity, adapt to demanding situations, and maintain mental well-being is a key factor contributing to their sustained performance and emotional stability. In this regard, some authors have noted that female entrepreneurs exhibit strong coping mechanisms. However, certain women entrepreneurs remain unaware of these mechanisms, which can result in elevated stress levels and a heightened sense of isolation in their careers ().
Regardless of the resilience capacity that has been primarily observed through the assessment of burnout levels, in our sample anxiety symptoms have been highly prevalent. The four primary signs exhibited a very high prevalence (see Figure 1) additionally, 77.89% of the sample displayed at least two of the primary defined signs of anxiety. Women in decision-making positions, entrepreneurs and executives, are subject to high levels of anxiety. This condition manifests in sleep disturbances, affecting both quantity and quality, in addition to other somatic consequences such as headaches, vegetative symptoms (tremors, tingling, dizziness, sweating, diarrhoea), and psychological rumination that results in persistent concerns about health (see Figure 2). Similar results have been found by previous research. In this sense, some authors () have found correlations between proactive coping and both job demands and mental exhaustion, suggesting a proactive coping against work-related stress, although in this instance, no sex-disaggregated analysis was performed on the sample (n=117).
The findings reveal a predominance of anxiety-related symptomatology relative to stress-related manifestations. This pattern may account for the observed low levels of burnout, aligning with prior research () that underscores the critical role of stress as a necessary antecedent in the development of burnout. In addition, the motivation of female entrepreneurs and executives, along with their education and experience, may explain the resilient profile observed in the mood and burnout assessments. In this same vein, some authors (), using data from various countries, have found that women entrepreneurs, seeking to combine professional and private responsibilities, derive benefits even in environments initially considered hostile to female entrepreneurship.
To the best of our knowledge, no studies have examined the consequences of burnout in terms of absenteeism and medical leave among women entrepreneurs and executives. On this subject, the most studied population, especially recently following the COVID epidemic, has been healthcare professionals. In this group, a relationship has indeed been observed, with some authors () showing that healthcare workers with higher levels of burnout, particularly in the exhaustion dimension, have a higher risk of unplanned absenteeism (OR=1.04). Our study’s contribution indicates that, as observed among women entrepreneurs and in executive positions, the likelihood of absenteeism and medical leaves was linked to anxiety and burnout scores. As reported in the results section, the probability of absenteeism increases significantly as anxiety symptoms rise, and to a lesser extent, when burnout symptoms also increase.
5. CONCLUSIONS
This study has provided a gender-based analysis of the influence of mood alterations anxiety, and signs of burnout among female entrepreneurs and decision-makers within Spanish companies, particularly from a sample of Galicia, a northern region. The entrepreneurial woman is characterized by her dynamism (). The data reveal a profile of women typically around 40 years old, with a high level of education (predominantly university graduates), who engage in entrepreneurial activities after extensive experience in the workforce, often exceeding two decades (with slightly less experience in the case of those exclusively running businesses and approximately ten years in their current position. Women who venture into entrepreneurial activity do so with a solid foundation of education and experience. The fact that the majority of businesses are small in size in the sample matches with the Spanish business network where large companies, given that in Spain (), large companies (those with more than 250 employees) represent only 0.19% of the total.
Consistent with H1, women in entrepreneurial and executive roles exhibit a predominance of anxiety-related symptoms over those associated with depression. The symptom related to the perception of lack of energy (see Figure 3) was present in a substantial proportion of female entrepreneurs and executives. In this instance, the test required completion when any of the four symptoms were present, which occurred in a high percentage (68.35%). Upon completing the depression test, it became evident that symptoms related to lack of energy and cognitive slowing, such as difficulty concentrating or bradyphrenia, were the most prevalent (see Figure 4). The activity associated with decision-making roles appears to manifest more in apathetic symptoms than in mood-related symptoms, such as hopelessness, anhedonia, or loss of confidence. This can be interpreted as a greater emphasis on physical exhaustion associated with emotional tension rather than a psychological impact that limits motivation, which does not appear to be the case based on the results obtained. These findings are independent of the woman's position within the company, as well as her experience in the labour market or current role. From an analytical perspective, the concentration of symptomatology primarily in the somatic rather than affective domain may offer a dual explanatory framework. First, it is plausible that the elevated intrinsic motivation observed in this population segment enhances psychological resilience, mitigating the subjective perception of distress. Second, the somatisation of psychological discomfort may contribute to the underrecognition of such manifestations as clinically relevant mental health issues. This symptomatological ambiguity could, in part, elucidate the low prevalence of help-seeking behaviours and the limited utilisation of professional psychological support services among women occupying leadership or decision-making roles. These potential explanatory mechanisms, however, fall beyond the scope of the present study. Nevertheless, we contend that they warrant further investigation in future research endeavours.
These findings on mood and anxiety disorders are highly valuable for studying their connection with work performance. Previous studies (), though not conducted on a population of female entrepreneurs and executives, have shown that the presence of mood and anxiety disorders correlates with lower presenteeism scores compared to those without such disorders. In any case, although the number of female entrepreneurs and executives reporting medical leaves and absences is low over this population of highly resilient women in executive positions, therefore, it can be concluded that the second hypothesis (H2) has likewise been supported, our analyses show that among those who do experience such absences, a significant proportion (69.44%) attributed them to the work environment. Consequently, measures aimed at improving the workplace environment can reduce absenteeism and sick leave, thereby enhancing productivity for the companies.
Concerning the presence of burnout-related symptoms, our findings indicate that the overload dimension displayed markedly elevated scores on the measurement scale. This profile appears to predominate among women in leadership positions within business activities. The profiles characterised by these features are closely aligned with the frenetic subtype described by . The frenetic subtype is defined by an excessive dedication to work, often manifested in individuals who display high levels of involvement, ambition, and occupational overload. The profile of those with elevated levels in the overload dimension is marked by a willingness to risk their health and sacrifice personal well-being and life in pursuit of achieving positive outcomes. Additionally, our results have demonstrated a strong correlation between depression scores and the burnout scale, as well as high levels of overload. Thus, as scores on these scales improve, the sense of overload diminishes. The profile of female entrepreneurs and executives is marked by high resilience in the face of anxiety-inducing factors, along with an ability to manage overload, enabling them to overcome adverse circumstances and persist in their objectives. The fact that average performance is estimated to be reduced (26.5% on average), combined with the finding that factors associated with depressive symptoms increase signs of overload, as well as evidence that anxiety and burnout symptoms lead to reduced performance through a higher likelihood of absenteeism and medical leaves, highlights the need for mental and emotional health policies and improvement plans, both for medical reasons and for the economic performance of companies.
One key aspect to reflect upon is the limited social support network that women entrepreneurs and those in decision-making positions within companies often experience. Our results revealed that 60.10% reported a decrease in their social relationships. Moreover, 66.37% indicated that they have no relationships with colleagues, either at work or outside of it. The lack of social networks is a factor that increases emotional vulnerability and may reduce performance in managerial roles. Equally striking is the finding that, despite experiencing high levels of anxiety and mood disturbances, the search for support does not rely on resources provided by mental health professionals (63.93% reported that they had not consulted with a mental health professional). Instead, they resort to general coping strategies or emotional release through activities such as exercise, yoga, or other pursuits (58.88% reported engaging in these activities).
Practical implications and potential applications of the findings
The findings of our study research emphasize the need for policies to promote mental health support, also flexibility in the work agenda. Such policies, and also good practices, may help to mitigate the mental health challenges that arise from balancing personal life and career demands. Also, it may support women leadership in the business world.
While data reveal a profile of female entrepreneurs as well-educated, experienced, motivated, and highly resilient in the face of the stressors inherent to their professional activities, it is equally true that symptoms of anxiety —and to a lesser extent, depression— are common. Nevertheless, these symptoms do not appear to lead to the use of mental health support services. Policies promoted both by healthcare services and, crucially, by the business organisations themselves, that encourage the recognition of early signs of emotional distress and the use of specialised services, could contribute significantly to improving the well-being of female entrepreneurs and executives, as well as to securing the long-term sustainability of their enterprises.
Limitations and future lines of investigation
This study makes a valuable contribution to knowledge by addressing the characteristics of a profile for which there is little empirical evidence in relation to the object of study. Research focused on entrepreneurial women or those in leadership positions is scarce, and even fewer studies analyse the emotional repercussions of this group. However, when extrapolating the results of this study, it is important to consider that the sample was not obtained randomly, which may introduce bias into the findings. There is no relevant criterion to suggest that the geographical distribution within the country would limit the conclusions. The particularities of entrepreneurial women are similar to those in other regions, given the similarity of their demographic profiles and management challenges. Nevertheless, due to the scarcity of similar studies, this aspect could be a topic for future research. Likewise, we consider it of interest for future investigations to explore the relationships between economic business outcomes and the psychological factors that have been analysed. Furthermore, studies that explore family structures, support networks, and the use of both professional and non-professional resources to improve mental health among female entrepreneurs and executives —linking these factors to their positions, economic resources, and types of enterprises— also represent a promising line of research beyond the scope of the present study.
Research based on larger and more geographically diverse samples represents a promising line of inquiry that could yield more nuanced and generalisable conclusions. Similarly, incorporating additional dimensions into the characterisation of female entrepreneurs and executives —beyond the scope of the present study— such as personality profile analysis, would further enhance our understanding of this still under-researched population. In this regard, our study offers a meaningful contribution. Future research should aim to deepen the analysis of psychological and contextual factors influencing the well-being and performance of women in leadership roles. Such insights would not only strengthen the academic understanding of this group but could also inform evidence-based policies and organisational strategies to foster healthier, more inclusive and sustainable work environments for female entrepreneurs and executives.
Acknowledgement
This publication was supported by: the Region of Murcia (Spain) through the Regional Program for the Promotion of Scientific and Technical Research of Excellence (Action Plan 2022) of the Seneca Foundation—Science and Technology Agency of the Region of Murcia under the grant [Project 21947/PI/22].
The authors wish to extend their gratitude to all participants who contributed their time and experiences to this study, as well as to the organizations Executivas de Galicia and Universidade de Santiago de Compostela, through the Woman Emprende project. Lastly, we would like to acknowledge our appreciation to María Gómez Dapena, Eva López Barrio, and Carla Reyes Uschinsky for their suggestions, comments, and guidance.
Authors contribution
Conceptualization: MRA, SMR, Data Curation: MRA, Formal Analysis: MRA, Funding Acquisition: SMR, Investigation: MRA, SMR, Methodology: MRA, SMR, Project Administration: MRA, Resources: MRA, SMR, Supervision: MRA, SMR, Validation: MRA, SMR, Visualization: MRA, SMR, Writing – Original Draft: MRA, SMR, Writing – Review & Editing: MRA, SMR. All authors have read and agreed to the published version of the manuscript.
References
1
Abós, Á., Sevil-Serrano, J., Montero-Marín, J., Julián, J. A., & García-González, L. (2021). Examining the psychometric properties of the burnout clinical subtype questionnaire (BCSQ-12) in secondary school teachers. Current Psychology, 40(8), 3809–3826. https://doi.org/10.1007/s12144-019-00333-7
2
Adler, D. A., McLaughlin, T. J., Rogers, W. H., Chang, H., Lapitsky, L., & Lerner, D. (2006). Job Performance Deficits Due to Depression. American Journal of Psychiatry, 163(9), 1569–1576. https://doi.org/10.1176/ajp.2006.163.9.1569
3
Chadwick, I. C., & Raver, J. L. (2020). Psychological Resilience and Its Downstream Effects for Business Survival in Nascent Entrepreneurship. Entrepreneurship Theory and Practice, 44(2), 233–255. https://doi.org/10.1177/1042258718801597
4
Collins, J. J., Baase, C. M., Sharda, C. E., Ozminkowski, R. J., Nicholson, S., Billotti, G. M., Turpin, R. S., Olson, M., & Berger, M. L. (2005). The Assessment of Chronic Health Conditions on Work Performance, Absence, and Total Economic Impact for Employers. Journal of Occupational and Environmental Medicine, 47(6), 547–557. https://doi.org/10.1097/01.jom.0000166864.58664.29
5
De Beer, L. T., van der Vaart, L., Escaffi-Schwarz, M., De Witte, H., & Schaufeli, W. B. (2024). Maslach Burnout Inventory – General Survey. European Journal of Psychological Assessment. https://doi.org/10.1027/1015-5759/a000797
6
De Clercq, D., & Brieger, S. A. (2022). When Discrimination is Worse, Autonomy is Key: How Women Entrepreneurs Leverage Job Autonomy Resources to Find Work–Life Balance. Journal of Business Ethics, 177(3), 665–682. https://doi.org/10.1007/s10551-021-04735-1
7
Despiégel, N., Danchenko, N., François, C., Lensberg, B., & Drummond, M. F. (2012). The Use and Performance of Productivity Scales to Evaluate Presenteeism in Mood Disorders. Value in Health, 15(8), 1148–1161. https://doi.org/10.1016/j.jval.2012.08.2206
8
Dewitt, S., Jafari-Sadeghi, V., Sukumar, A., Aruvanahalli Nagaraju, R., Sadraei, R., & Li, F. (2023). Family dynamics and relationships in female entrepreneurship: an exploratory study. Journal of Family Business Management, 13(3), 626–644. https://doi.org/10.1108/JFBM-01-2022-0013
9
Eddleston, K. A., & Powell, G. N. (2012). Nurturing Entrepreneurs’ Work–Family Balance: A Gendered Perspective. Entrepreneurship Theory and Practice, 36(3), 513–541. https://doi.org/10.1111/j.1540-6520.2012.00506.x
10
Elovainio, M., Kivimäki, M., Ek, E., Vahtera, J., Honkonen, T., Taanila, A., Veijola, J., & Järvelin, M.-R. (2007). The effect of pre-employment factors on job control, job strain and psychological distress: A 31-year longitudinal study. Social Science & Medicine, 65(2), 187–199. https://doi.org/10.1016/j.socscimed.2007.02.052
11
Esposito, E., Wang, J. L., Williams, J. V. A., & Patten, S. B. (2007). Mood and anxiety disorders, the association with presenteeism in employed members of a general population sample. Epidemiologia e Psichiatria Sociale, 16(3), 231–237. https://doi.org/10.1017/S1121189X00002335
12
13
George, A. M., Windsor, T. D., & Rodgers, B. (2011). Are ecstasy users biased toward endorsing somatic mental health symptoms? Results from a general community sample. Psychopharmacology, 214(4), 901–909. https://doi.org/10.1007/s00213-010-2100-8
14
Gil-Monte, P. R., & Peiró, J. M. (1999). Perspectivas teóricas y modelos interpretativos para el estudio del síndrome de quemarse por el trabajo. Anales de Psicología, 15(2), 261–268. https://www.um.es/analesps/v15/v15_2pdf/12v98_05Llag2.PDF
15
Goldberg, D., Bridges, K., Duncan-Jones, P., & Grayson, D. (1988). Detecting anxiety and depression in general medical settings. BMJ, 297(6653), 897–899. https://doi.org/10.1136/bmj.297.6653.897
16
Hakanen, J. J., Schaufeli, W. B., & Ahola, K. (2008). The Job Demands-Resources model: A three-year cross-lagged study of burnout, depression, commitment, and work engagement. Work & Stress, 22(3), 224–241. https://doi.org/10.1080/02678370802379432
17
18
Jönsson, D., Johansson, S., Rosengren, A., Lappas, G., & Wilhelmsen, L. (2003). Self‐perceived psychological stress in relation to psychosocial factors and work in a random population sample of women. Stress and Health, 19(3), 149–162. https://doi.org/10.1002/smi.966
19
Kaciak, E., & Welsh, D. H. B. (2020). Women entrepreneurs and work–life interface: The impact of sustainable economies on success. Journal of Business Research, 112, 281–290. https://doi.org/10.1016/j.jbusres.2019.11.073
20
21
22
Kiefl, S., Fischer, S., & Schmitt, J. (2024). Self-employed and stressed out? The impact of stress and stress management on entrepreneurs’ mental health and performance. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1365489
23
Krithiga, R., & Velmurugan, G. (2024). Examining the impact of stress and coping strategies on the performance of women entrepreneurs. Multidisciplinary Reviews, 7(7), 2024148. https://doi.org/10.31893/multirev.2024148
24
Leach, L. S., Christensen, H., & Mackinnon, A. J. (2008). Gender Differences in the Endorsement of Symptoms for Depression and Anxiety. Journal of Nervous & Mental Disease, 196(2), 128–135. https://doi.org/10.1097/NMD.0b013e318162aa63
25
Lee, C., Vu, T.-H. T., Fuller, J. A., Freedman, M., Bannon, J., Wilkins, J. T., Moskowitz, J. T., Hirschhorn, L. R., Wallia, A., & Evans, C. T. (2023). The association of burnout with work absenteeism and the frequency of thoughts in leaving their job in a cohort of healthcare workers during the COVID-19 pandemic. Frontiers in Health Services, 3. https://doi.org/10.3389/frhs.2023.1272285
26
Lerman, M. P., Munyon, T. P., & Williams, D. W. (2021). The (not so) dark side of entrepreneurship: A meta‐analysis of the well‐being and performance consequences of entrepreneurial stress. Strategic Entrepreneurship Journal, 15(3), 377–402. https://doi.org/10.1002/sej.1370
27
Manchiraju, S., Akbari, M., & Seydavi, M. (2024). Is entrepreneurial role stress a necessary condition for burnout? A necessary condition analysis. Current Psychology, 43(5), 4766–4778. https://doi.org/10.1007/s12144-023-04704-z
28
Maslach, C., & Jackson, S. E. (1981). The measurement of experienced burnout. Journal of Organizational Behavior, 2(2), 99–113. https://doi.org/10.1002/job.4030020205
29
Mayo Clinic. (2023, May 10). Control del estrés. Mayo Clinic. https://www.mayoclinic.org/es/healthy-lifestyle/stress-management/in-depth/stress-symptoms/art-20050987
30
Ministerio_de_Industria_y_Turismo. (2024). CIFRAS PYME 2024. Datos de agosto de 2024. https://ipyme.org/Publicaciones/Cifras PYME/CifrasPyme-agosto2024.pdf
31
Montenegro Peña, M., Montejo Carrasco, P., Claver Martín, M. D., Reinoso García, A. I., de Andrés Montes, M. E., García Marín, A., Llanero Luque, M., & Huertas Rodríguez, E. (2013). Relación de las quejas de memoria con el rendimiento de memoria, el estado de ánimo y variables sociodemográficas en adultos jóvenes. Revista de Neurología, 57(09), 396. https://doi.org/10.33588/rn.5709.2013047
32
Montero-Marin, J., Monticelli, F., Casas, M., Roman, A., Tomas, I., Gili, M., & Garcia-Campayo, J. (2011). Burnout syndrome among dental students: a short version of the “Burnout Clinical Subtype Questionnaire” adapted for students (BCSQ-12-SS). BMC Medical Education, 11(1), 103. https://doi.org/10.1186/1472-6920-11-103
33
Montero-Marín, J., Skapinakis, P., Araya, R., Gili, M., & García-Campayo, J. (2011). Towards a brief definition of burnout syndrome by subtypes: Development of the “Burnout Clinical Subtypes Questionnaire” (BCSQ-12). Health and Quality of Life Outcomes, 9(1), 74. https://doi.org/10.1186/1477-7525-9-74
34
Mouratidou, M., Donald, W. E., Mohandas, N. P., & Ma, Y. (2024). Exploring the relationship between self-perceived academic performance and entrepreneurial intention: the moderating roles of serious leisure, perceived stress and gender. Higher Education, Skills and Work-Based Learning, 14(4), 767–781. https://doi.org/10.1108/HESWBL-02-2024-0053
35
Neneh, B. N. (2024). Why Peer Support Matters: Entrepreneurial Stressors, Emotional Exhaustion, and Growth Intentions of Women Entrepreneurs. Entrepreneurship Research Journal, 14(3), 985–1019. https://doi.org/10.1515/erj-2021-0501
36
Obschonka, M., Pavez, I., Kautonen, T., Kibler, E., Salmela-Aro, K., & Wincent, J. (2023). Job burnout and work engagement in entrepreneurs: How the psychological utility of entrepreneurship drives healthy engagement. Journal of Business Venturing, 38(2), 106272. https://doi.org/10.1016/j.jbusvent.2022.106272">https://doi.org/10.1016/j.jbusvent.2022.106272
37
Pinto, J. K., Dawood, S., & Pinto, M. B. (2014). Project management and burnout: Implications of the Demand–Control–Support model on project-based work. International Journal of Project Management, 32(4), 578–589. https://doi.org/10.1016/j.ijproman.2013.09.003
38
Purvanova, R. K., & Muros, J. P. (2010). Gender differences in burnout: A meta-analysis. Journal of Vocational Behavior, 77(2), 168–185. https://doi.org/10.1016/j.jvb.2010.04.006
39
Reyes Marrero, R., & de Portugal Fernández del Rivero, E. (2019). Trastornos de ansiedad. Medicine - Programa de Formación Médica Continuada Acreditado, 12(84), 4911–4917. https://doi.org/10.1016/j.med.2019.07.001
40
Ross, J., Strevel, H., & Javadizadeh, B. (2021). Don’t stop believin’: the journey to entrepreneurial burnout and back again. Journal of Small Business & Entrepreneurship, 33(5), 559–582. https://doi.org/10.1080/08276331.2020.1717897
41
Salvagioni, D. A. J., Melanda, F. N., Mesas, A. E., González, A. D., Gabani, F. L., & Andrade, S. M. de. (2017). Physical, psychological and occupational consequences of job burnout: A systematic review of prospective studies. PLOS ONE, 12(10), e0185781. https://doi.org/10.1371/journal.pone.0185781
42
Schultz, A. B., Chen, C.-Y., & Edington, D. W. (2009). The Cost and Impact of Health Conditions on Presenteeism to Employers. PharmacoEconomics, 27(5), 365–378. https://doi.org/10.2165/00019053-200927050-00002
43
Serna-Zuluaga, J. C., Juárez-Varón, D., Mengual-Recuerda, A., & Medina-López, A. (2024). Analysis of the influence of emotions on the decision-making of entrepreneurs using neurotechnologies. International Entrepreneurship and Management Journal. https://doi.org/10.1007/s11365-024-00960-y
44
Stephan, U. (2018). Entrepreneurs’ Mental Health and Well-Being: A Review and Research Agenda. Academy of Management Perspectives, 32(3), 290–322. https://doi.org/10.5465/amp.2017.0001
45
World Health Organization. (2025, September 30). Mental disorders. https://Www.Who.Int/News-Room/Fact-Sheets/Detail/Mental-Disorders. https://www.who.int/news-room/fact-sheets/detail/mental-disorders
46
Zastempowski, M. (2024). Shaping sustainable futures: The role of micro-entrepreneurs’ personality traits in social innovations. PLOS ONE, 19(8), e0306800. https://doi.org/10.1371/journal.pone.0306800
Appendix
Appendix 1. The Goldberg anxiety and depression symptom inventory
Next are some specific questions about your health and how you have been feeling in the PAST MONTH.
Anxiety Subscale
Depression Subscale
Total Scale Score: __/18
Appendix 2. Burnout Clinical Subtype Questionnaire (BCSQ-12)
The following is a series of statements indicating experiences that may occur at work. Read each statement carefully and mark with an X the option that best represents how you feel, what you do and what you think about your work. There are no right or wrong answers. Please DO NOT LEAVE ANY STATEMENT UNANSWERED.







