Abstract
The everyday lives of Danish inhabitants have been affected by the COVID-19 pandemic, e.g., by social distancing, which was employed by the government in March 2020 to prevent the spread of SARS-CoV-2. Moreover, the pandemic has entailed economic consequences for many people. This study aims to assess changes in physical and mental health-related quality of life (MCS, PCS), in stress levels, and quality of sleep during the COVID-19 pandemic and to identify factors that impact such changes, using a prospective national cohort study including 26,453 participants from the Danish Blood Donor Study who answered a health questionnaire before the pandemic and during the pandemic. Descriptive statistics, multivariable linear and multinomial logistic regression analyses were applied. A worsening of MCS and quality of sleep was found, and an overall decrease in stress levels was observed. PCS was decreased in men and slightly increased in women. The extent of health changes was mainly affected by changes in job situation, type of job, previous use of anti-depressive medication and the participants’ level of personal stamina. Thus, living under the unusual circumstances that persisted during the COVID-19 pandemic has had a negative impact on the health of the general population. This may, in time, constitute a public health problem.
1. Introduction
As of 16 February 2021, over 35 million people have been infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the European Union, and 812,410 have died while infected with the virus []. If Coronavirus disease 2019 (COVID-19) spreads uncontrollably, health care systems will be compromised.
Recent studies have reported that the prevalence of stress, anxiety, depressive disorder, and insomnia has increased during the COVID-19 pandemic [,].
These reports are similar to findings from other previous pandemics [,]. Consequently, it has been suggested that there is a risk for a psychiatric pandemic emerging post-COVID-19 []. Knowledge about specific health changes in different population settings during the COVID-19 pandemic is therefore imperative from a public health perspective.
The everyday lives of Danish inhabitants have been affected by the COVID-19 pandemic, e.g., by social distancing and isolation, which has proven to be an efficient measure for preventing infection []. On 11 March 2020, the Danish government locked down the country, urging everyone to stay home as much as possible and prohibited large social gatherings by law. Public employees not handling critical societal functions were mandated to work from home when possible. Places with a high level of social interaction, such as restaurants etc., were closed for several months (Table S1: Political interventions aimed at preventing COVID-19 spread in Denmark). These preventive measures resulted in changes in job functions, loss of income, unemployment, or worrying about such consequences. Dealing with this, while potentially worrying about one’s own health or the health of loved ones in a context of social distancing, is an unusual situation that may impact one’s general health.
Evidence shows that social isolation affects mental health in a negative way [] and is associated with increased mortality []. However, there is a lack of knowledge about the effects on physical health outcomes []. The feeling of loneliness increases mortality and morbidity independently of objective social isolation []. This could mean that the social isolation experienced during the COVID-19 pandemic does not pose a similar health risk, as it may not be accompanied by a feeling of loneliness.
The objective of the present study was to identify health changes that occurred during the COVID-19 pandemic after the societal lock-down as well as related characteristics. This was carried out in a nationwide cohort of Danish adults using a prospective observational study design comparing health-related quality of life (HRQL), stress, and sleep quality assessed before 11 March 2020 with those assessed after this date. Subsequently, the study investigated factors impacting changes in health, including changes in work life, lifestyle and worrying about the COVID-19 pandemic, as well as the impact of personality and behavioural traits such as stamina and COVID-19 precautionary behaviours.
2. Materials and Methods
This study was based on data from the Danish Blood Donor study (DBDS) [] and from Danish registers.
DBDS is an ongoing nationwide epidemiological cohort study [] involving blood donors. In the years preceding the COVID-19 pandemic, a range of health-related information was collected using questionnaires. After 11 March 2020, an additional questionnaire was sent to a random sample of 75,934 participants through the governmental, personal, password protected email-system e-boks. In total, 35% of that number completed the questionnaire. In addition to the questions included in previous questionnaires, participants were asked questions directly related to their experience of the COVID-19 pandemic (Figure 1).
Figure 1.
Overview of included questionnaires.
2.1. Health-Related Quality of Life
HRQL was measured using the 12-item short form health survey (SF-12), which has been validated in the general Danish population []. A mental component score (MCS) and a physical component score (PCS) were calculated as recommended by Quality Metric Inc. Johnston, United States []. In the general Danish population, the normalized mean score of PCS is 51.0 (standard deviation (SD), 8.1) and 52.8 (SD, 8.3) for MCS []. A higher score indicates better HRQL.
2.2. Level of Stress
Level of stress experienced by the participants was measured using the Cohen’s Perceived Stress Scale 10-item version (PSS-10), which was validated in the general Danish population []. The items were answered on a 5-point Likert scale, asking the respondents to indicate how often they experience a specific stress symptom ranging from “0 = never” to “4 = very often”, resulting in a score ranging from 0 to 40.
2.3. Quality of Sleep
Insomnia is characterized as a subjective experience of difficulty falling asleep and maintaining sleep or waking up too early and not being able to fall asleep again []. Insomnia was measured by asking respondents to report how often they experience the following symptoms: “I have difficulty falling asleep within 30 min at night”, “I wake up too early and find it difficult to fall back asleep”, and “I often wake up during the night”. Participants who experienced one or more symptoms at least three times a week were considered insomnia cases. Daytime fatigue was measured using the following three questions asking participants to indicate how often they experience the following: “I feel extremely tired during the day”, “I have an irresistible urge to sleep when at work/school”, “I have an irresistible urge to sleep in my spare time”. Again, participants who experienced one or more symptoms at least three times a week were registered as cases. Finally, participants were asked to report whether they experience restlessness in their legs during sleep. For this symptom, cases were classified as those who reported restless legs at least three times a week.
2.4. Characteristics Potentially Affecting the Extent of Health Impact
Information on smoking and body mass index (BMI) (weight in kg/height in cm2) was collected both before and during the COVID-19 pandemic. Moreover, participants reported how many people they were living with during the pandemic, including the ages of these. Participants were also asked about changes in their work life during the pandemic. The personality trait stamina was assessed using nine questions concerning self-perception. The applied items were based on the Connor–Davidson Resilience (CD) scale, which has been validated in several population settings []. We assessed the personality trait stamina using part of the CD-scale. Each item on the CD-scale was answered on a 5-point Likert scale with a summarized score ranging from 0 to 45. The higher the score, the higher the personal level of stamina (Table S2: Stamina scale).
Using pseudonymized versions of the unique civil Danish registration numbers [], individual level data were collected from the Danish National Registers. We collected information on latest graduated educational level and previous filled prescriptions for anti-depressive drugs (Anatomical Therapeutic Chemical classification codes: N06A). Finally, information on dates for blood donation was obtained from the National Blood Bank Register.
2.5. Statistics
Changes in stress level, insomnia, daytime fatigue, health-related quality of life, BMI, and smoking status were investigated using descriptive statistics. t-tests were applied for normally distributed data (stress score) and Wilcoxon Signed Rank Tests were applied for non-normally distributed data (health-related quality of life, BMI). Dichotomous traits were investigated using chi-square tests (smoking status, insomnia, daytime fatigue) (for crude risk estimate see Table S3: Linear regression analyses). Identification of characteristics associated with decrease or increase in mental or physical health characteristics, and Table S4: Multinomial logistic regression analyses displaying relative risk ratios (RRR). Identification of characteristics associated with developing a poor quality of sleep phenotype or becoming free of a poor quality of sleep phenotype).
Subsequently, characteristics affecting changes in health were investigated. For continuous outcomes, this was carried out using multivariable linear regression analyses where delta-values for changes in MCS, PCS, and stress score were included as outcome variables in separate models. A delta-value of 0 indicated no change between scores before and during the pandemic, and negative and positive delta-values indicated decreasing and increasing scores, respectively. Delta-values were approximately normally distributed and were therefore not transformed before analyses. For sleep traits (insomnia, daytime fatigue, and restless legs during sleep) impacting characteristics were identified using multinomial logistic regression models where the outcome variables were computed as categorical variables with 0/reference = “no change”, 1 = “from case before the pandemic to non-case during”, and 2 = “from non-case before pandemic to case during” indicating the individual change in sleep. Analyses were conducted separately for men and women because of a priori knowledge of sex-related differences in the investigated outcomes [,,,,]. Cross-sectional multivariable linear and logistic regression analyses identifying factors impacting current MCS, PCS, stress score, insomnia, daytime fatigue and restless legs during sleep are displayed in Table S5: Linear regression analyses. Identification of characteristics associated with physical and mental health characteristics measured during the COVID-19 pandemic, and Table S6: Logistic regression analyses. Identification of characteristics associated with quality of sleep measured during the COVID-19 pandemic.
2.6. Follow-Up Analyses
To account for the healthy donor effect and potential seasonal effects on self-perceived health [,,,,,,], regression analyses were subsequently adjusted for number of days since last blood donation and for season of the year that they answered the first questionnaire.
3. Results
Both positive and negative changes in health characteristics occurred among the participants since the onset of the COVID-19 pandemic. The presented risk estimates were derived from the complete statistical models including all potential covariates plus individual time intervals between answering the questionnaire before the pandemic and the one during (Table 1).
Table 1.
Distribution of characteristics potentially impacting change in health during the COVID-19 pandemic.
3.1. Distribution of Characteristics Potentially Affecting a Change in Health during the COVID-19 Pandemic
3.2. Comparing Health Characteristics before the COVID Pandemic with Those During
Compared with baseline estimates, MCS was lower for both sexes during the COVID-19 pandemic, while PCS was lower in men and slightly higher in women. The mean individual change in MCS was −1.29 (SD, 7.08) for men and −1.44 (SD, 8.35) for women. For PCS, this was −0.29 (SD, 5.35) for men and −0.01 (SD, 5.91) for women. For stress score it was −1.21 (SD, 4.95) for men and −1.27 (SD, 5.70) for women. The proportion of smokers decreased. On average, there was an increase in BMI and in the proportion of participants suffering from insomnia, daytime fatigue and restless legs during sleep (Table 2).
Table 2.
Comparing population health characteristics before the COVID-19 pandemic with levels during the pandemic.
3.3. Changes in Mental and Physical Health
3.3.1. Factors Associated with Experiencing a Change in Mental Health-Related Quality of Life
The most prominent factor associated with a decreased MCS was losing one’s job during the pandemic for both sexes. Other factors associated with a decreased MCS among men were wearing disposable masks around people, working or studying from home, having experienced a change in work situation, living with another adult and avoiding travels outside one’s own region or country. The only other factor associated with decreased MCS in women was smoking.
For both sexes, having a previously filled prescription for anti-depressive medication was associated with increased MCS. For each additional point on the stamina score, both men and women experienced an average MCS increase of 0.15 points. Men who reported that they were living with one or more children or feeling worried about the pandemic were likely to have experienced a slight increase in MCS. The same was observed for increased BMI among women (Table 3).
Table 3.
Linear regression analyses. Identification of characteristics associated with decrease or increase in mental or physical health characteristics (displaying risk estimates for covariates with a p value < 0.05 in the complete model).
3.3.2. Factors Associated with Experiencing a Change in Physical Health-Related Quality of Life
Among men, the most prominent factor associated with reduced PCS was working in the sales or service industry. The same was observed among women employed as unskilled workers. Among men, no factors were independently associated with increased PCS, while losing one’s job during the pandemic was associated with an increase in women. For both sexes, an increase in BMI was associated with a decreased PCS. The same was observed for those reporting that they were staying home as much as possible during the pandemic. Using disposable handkerchiefs was associated with decreased PCS for men, while the same was true for wearing masks among women. Finally, women who reported that they had limited their use of public transportation had an increased probability of improved PCS (Table 3).
3.3.3. Factors Associated with Experiencing a Change in Stress Level
Higher stamina score was the strongest independent predictor for decreased stress level among women. A higher stamina score was also associated with decreased stress in men; however, working in the sales or service industry was the strongest predictor for decreased stress in this group. Both men and women working in administration or other office jobs when the pandemic began were more likely to have experienced decreased stress level compared to those working in academia (Table 3).
3.4. Change in Quality of Sleep
3.4.1. Factors Associated with Either Developing or Becoming Free from Insomnia
Among men, working as an unskilled worker was associated with the highest RRR for developing insomnia (RRR = 2.10, p = 0.004), while having filled a prescription for anti-depressive medication previously was the strongest predictor in women (RRR = 1.37, p = 0.032). An increase in stamina appeared to be protective against developing insomnia in both sexes, and it was associated with an increased probability of becoming free from insomnia in women suffering from insomnia before the pandemic. Living with school-aged children seemed to decrease the probability of becoming free from insomnia among both sexes. Having a long-length education (≥5 years post high school) was associated with an increased probability of becoming free from insomnia in men. Finally, undertaking the COVID-19 precautionary measure of coughing or sneezing in one’s elbow was associated with a decreased risk of developing insomnia in women (Table 4).
Table 4.
Multinomial logistic regression analyses displaying relative risk ratios (RRR). Identification of characteristics associated with developing a poor quality of sleep phenotype or becoming free of a poor quality of sleep phenotype (displaying risk estimates for covariates with a p value < 0.05 in the complete model).
3.4.2. Factors Associated with Either Developing or Becoming Free from Daytime Fatigue
Men who reported losing their jobs during the pandemic had a more than three times increased risk of developing daytime fatigue (RRR = 3.51, p = 0.008). An increased risk was also observed for men who were employed as skilled or unskilled workers, and who reported that they use disposable handkerchiefs to avoid becoming infected with SARS-CoV-2. Among women, smoking and limiting use of public transportation increased the risk of developing daytime fatigue.
Men suffering from daytime fatigue before the pandemic were more likely to become free of it if they were working a part-time job compared to working full time. Increased BMI and avoiding places where many people gather also increased the chance of becoming free from daytime fatigue in men. For women who were suffering from daytime fatigue before the pandemic, staying home as much as possible increased the probability of becoming free from it. Finally, an increase in length of education was associated with decreased risk of experiencing a change in daytime fatigue-status among both sexes (Table 4).
3.4.3. Factors Impacting Change in Experience of Restless Legs during Sleep
Having an education of at least five years post high school was the most protective risk factor against developing restless legs during sleep among women. After this was working in administration or another office job. A higher stamina score was associated with a decreased risk of experiencing a change in restless legs case-status in both sexes, while higher BMI increased the risk of change. Thus, either developing or becoming free from restless legs during sleep was dependent on case-status when the pandemic began. In women, being employed as an unskilled worker was associated with a more than four times increased risk of becoming free from restless legs compared to those suffering from it when the pandemic began. Similarly, an increased risk of becoming free from it was observed for women who reported that they had been feeling worried about the pandemic and socially cut-off (Table 4). Follow-up analysis showed that those who experienced an increased PCS were less likely to develop restless legs if they were non-cases before the pandemic, while those who were cases before were more likely to become free from it if their PCS increased.
The observed risk estimates did not change when information on time since last blood donation and season of the year for answering the first questionnaire was included as covariates in the statistical models.
4. Discussion
This study brings important new knowledge about potential health consequences derived from the COVID-19 pandemic. Here we report evidence of overall worsening of MCS and quality of sleep and an overall improvement in stress levels. Moreover, a decreased PCS was observed in men, while an increase was observed in women. These findings are in line with those made in other studies that were conducted during the COVID-19 pandemic and during previous pandemics [,,].
As of 11 March 2020, the Danish government implemented a national societal lock-down. Public employees were sent home, some with the possibility of working from home. Social activities in public places were prohibited by law, while social gatherings in private settings were strictly advised against. The general stress burden in Denmark has been increasing in recent years []. Part of this may be attributed to a combination of personal and societal expectations to oneself, possibly in terms of workload. The preventive measures taken to slow down the spread of COVID-19 therefore provided a unique opportunity to study what happens when part of the population is relieved of this burden, at least to some extent. The fact that we observed a generally decreased stress level during the pandemic indicates that the prevalence of stress disorders might be reduced by changes in the societal structure aimed at reducing the experienced workload. Moreover, we found that men working in the sales or service industry were most likely to have experienced reduced stress level, which may be caused by most retail stores being closed during the lock-down and that the stores being open (grocery stores) had a reduced number customers during this period. In line with this, it was observed that those who had previously been treated with anti-depressive medication were more likely to have experienced an increase in MCS.
Further, the present study shows that men who were living with children during the pandemic were more likely to have experienced an increase in MCS. This supports previous findings. In a recently published narrative review investigating the effect of the COVID-19 pandemic on mental health, it was shown that families frequently reported that the mandatory social isolation produced a feeling of cohesion and partnership as well as a better understanding of which values that should be prioritized for their family [].
It is noteworthy that we also found that having used anti-depressive medication previously was associated with a lower MCS compared to not having a previous prescription (factors associated with health characteristics measured during the COVID-19 pandemic (i.e., not changes in health characteristics) are displayed in Tables S5 and S6). Thus, even though individuals with previous use of anti-depressive medication were likely to have a lower MCS than the rest of the participants, they were also more likely to have experienced an increase in their MCS during the COVID-19 pandemic. This, again, may be interpreted as a result of mentally vulnerable individuals potentially benefiting from being relieved of social and/or work pressure.
Contrary to this, in a Italian population setting, it was found that previous use of psychiatric medications was associated with increased depression and anxiety during the COVID-19 pandemic []. This is likely to be explained by the fact that the Italian study was cross-sectional. Thus, the study showed increased prevalence of mental disorders in those with previous medication use compared to those without. The prospective design of the present study allowed us to identify the direction of change in MCS among those with previous medication use.
Social contact is important for a healthy cognitive, emotional, endocrine and immune development in humans []. It has even been reported that humans can feel a craving for social contact similar to that of food []. In addition to the reduced social contact, the societal lock-down was also accompanied by economic decline and a compromised healthcare system. The reduced MCS, PCS and sleep quality is highly concerning since these factors are predictors of subsequent morbidity and mortality [].
Furthermore, good sleep quality has been associated with lower stress []. In the present study, a general increase in sleep problems and a decrease in stress was found. When investigating our data further, a mean individual decrease of 1.47 (SD, 5.16) points in stress score was observed for those without daytime fatigue during the pandemic, while a mean increase in stress score of 1.37 (SD, 6.75) was observed for those with. Similarly, a smaller decrease in stress score was observed among those with insomnia or restless legs during sleep compared to among those without (data not shown). This suggests that the link between quality of sleep and stress level also applies in this study population. In this regard, it might be speculated that the decreased stress level mitigated the extent of reduction in sleep quality. Similarly, it was previously found that increased stress level on the PSS-10 stress scale is associated with decreased MCS on the SF-12 scale []. This, again, may suggest a mitigation of the MCS reduction due to reduced stress—or vice versa. The observed decrease in the proportion of smokers may be caused by knowledge of smoking exacerbating COVID-19 disease. Increased BMI was observed. This, however, is likely to display a tendency in time as increases in BMI has been observed in recent years.
When data for this study were collected, the Danish population was not mandated to wear masks. Therefore, the fact that wearing masks appear to be associated with the second largest decrease in MCS among men could be a result of an extraordinary personal worry of SARS-CoV-2 infection. Furthermore, we observed that women who lost their jobs during the pandemic were more likely to have experienced a reduced MCS and an increased PCS. The reason for this is not clear; it may be that women react by practising physical exercise when their MCS drops. A higher stamina score was associated with decreased PCS among women, which is also contrary to what was found for MCS in women.
With the size of the cohort and the prospectively collected health information, the DBDS database represents a unique opportunity to investigate the impact of the COVID-19 outbreak on public health. The study focuses on a healthier subgroup of the general population consisting of active or previous blood donors []. The study could therefore be impacted by healthy blood donor bias []. Because we focus on factors impacting changes in HRQL, stress, and sleep quality within this cohort, the concern for bias is limited. In line with this, it is known that MCS increases and PCS decreases with age in the Danish population []. We do not suspect that age has affected the findings, as analyses were adjusted for age and number of days between answering the questionnaire before the pandemic and the one during. Additionally, when adjusted for time since last blood donation and season of the year for answering the questionnaire, the results did not change. Because the donors are generally healthy, it is plausible that the observed health changes may not only be a result of fear for SARS-CoV-2 infection, but also a result of the societal restrictions and the consequences for social interaction and employment. However, it is impossible to decipher to what extent the observed health changes were due to the pandemic rather than just a fluctuation over time affected by numerous factors.
The use of scales that have been validated in the Danish language [,] is a methodological strength of the study. The lack of objective measures for assessing sleep quality is a limitation to this study. Furthermore, the applied questions were not validated in the Danish language. However, since diagnosing insomnia in clinical practice is primarily based on subjective reports and since the applied questions were based on a validated scale [] and chosen in corporation with a sleep expert, we consider them to be adequate for this study. Finally, it should be noted that Denmark has a public healthcare system ensuring equal and free access for all citizens and that the Danish government provided monetary support for unemployed citizens and businesses who struggled during the lock-down. It is likely that this impacts the magnitude of health changes and should therefore be considered when comparing health changes across countries.
5. Conclusions
To conclude, to our knowledge this is the first study to investigate changes in MCS, PCS, stress level and quality of sleep during the COVID-19 pandemic by applying a prospective study design. The findings indicate that a subgroup of mentally vulnerable individuals, prevalent among blood donors, may have benefitted from mandated social distancing. Moreover, this study displays overall negative health changes during the COVID-19 pandemic. Because MCS, PCS and quality of sleep are all associated with later comorbidity and mortality rates, it is possible that the COVID-19 pandemic, in addition to its devastating direct influence on society, will also cause reduced general public health over time. However, the effect and timeline for such a potential crisis remain unclear.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/ijerph18147610/s1. Table S1: Political interventions aimed at preventing COVID-19 spread in Denmark; Table S2: Stamina scale; Table S3: Linear regression analyses. Identification of characteristics associated with decrease or increase in mental or physical health characteristics; Table S4: Multinomial logistic regression analyses displaying relative risk ratios (RRR). Identification of characteristics associated with developing a poor quality of sleep phenotype or becoming free of a poor quality of sleep phenotype; Table S5: Linear regression analyses. Identification of characteristics associated with physical and mental health characteristics measured during the COVID-19 pandemic; Table S6: Logistic regression analyses. Identification of characteristics associated with quality of sleep measured during the COVID-19 pandemic.
Author Contributions
Conceptualization, M.D., T.W., E.S., T.F.H., C.E., S.R.O., H.H., H.U. and O.B.P.; methodology, M.D., T.W., J.N., M.S., T.F.H., C.E., S.R.O., P.J.J., H.H., H.U. and O.B.P.; Software, M.S. and K.B.; formal analysis, M.D. and M.S.; data curation, T.W., O.B.P., J.N., M.S., E.S., K.R.N., M.T.B., C.E. and H.H.; writing—original draft preparation, M.D.; writing—review and editing, M.D., T.W., J.N., M.S., E.S., K.R.N., M.T.B., K.B., T.F.H., C.E., S.R.O., P.J.J., H.H., H.U. and O.B.P.; supervision, H.U. and O.B.P.; funding acquisition, T.W., S.R.O., O.B.P. and H.U. All authors have read and agreed to the published version of the manuscript.
Funding
This study was supported with funding from Rigshospitalets Research Foundation and by the Independent Research Fund Denmark (0214-00127B). The DBDS genetic infrastructure was supported by the Novo Nordic Foundation (NNF17OC0027594).
Institutional Review Board Statement
The study was approved by the Zealand and Central Denmark Regional Committees on Health Research Ethics (M-2009237 and SJ-740) and the Data Protection Agency (P-2019-99). The Declaration of Helsinki is not applicable for the present study as this was an observational study.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data underlying this article will be shared on reasonable request to the corresponding author.
Acknowledgments
We wish to express our gratitude to the participants of the Danish Blood Donor Study and to the personnel that include blood donors in blood banks across Denmark.
Conflicts of Interest
None declared.
References
- WHO Situation Report—Weekly Epidemiological Update 16 February 2021. Available online: https://www.who.int/publications/m/item/weekly-epidemiological-update-16-february-2021 (accessed on 17 February 2021).
- Torales, J.; O’Higgins, M.; Castaldelli-Maia, J.M.; Ventriglio, A. The outbreak of COVID-19 coronavirus and its impact on global mental health. Int. J. Soc. Psychiatry 2020, 66, 317–320. [Google Scholar] [CrossRef] [Green Version]
- Lentoor, A.G.; Maepa, M.P. Psychosocial Aspects during the First Wave of COVID-19 Infection in South Africa. Front. Psychiatry 2021, 12, 663758. [Google Scholar] [CrossRef] [PubMed]
- Heitzman, J. Impact of COVID-19 pandemic on mental health. Psychiatr. Pol. 2020, 54, 187–198. [Google Scholar] [CrossRef] [PubMed]
- van den Heuvel, L.; Chishinga, N.; Kinyanda, E.; Weiss, H.; Patel, V.; Ayles, H.; Harvey, J.; Cloete, K.J.; Seedat, S. Frequency and correlates of anxiety and mood disorders among TB- and HIV-infected Zambians. AIDS Care 2013, 25, 1527–1535. [Google Scholar] [CrossRef] [PubMed]
- Hossain, M.M.; Sultana, A.; Purohit, N. Mental health outcomes of quarantine and isolation for infection prevention: A systematic umbrella review of the global evidence. Epidemiol. Health 2020, 42, e2020038. [Google Scholar] [CrossRef]
- Pedersen, O.B.; Nissen, J.; Dinh, K.M.; Schwinn, M.; Kaspersen, K.A.; Boldsen, J.K.; Didriksen, M.; Dowsett, J.; Sørensen, E.; Thørner, L.W.; et al. SARS-CoV-2 infection fatality rate among elderly retired Danish blood donors—A cross-sectional study. Clin. Infect. Dis. 2020. [Google Scholar] [CrossRef] [PubMed]
- Leigh-Hunt, N.; Bagguley, D.; Bash, K.; Turner, V.; Turnbull, S.; Valtorta, N.; Caan, W. An overview of systematic reviews on the public health consequences of social isolation and loneliness. Public Health 2017, 152, 157–171. [Google Scholar] [CrossRef] [Green Version]
- Holt-Lunstad, J.; Smith, T.B.; Baker, M.; Harris, T.; Stephenson, D. Loneliness and social isolation as risk factors for mortality: A meta-analytic review. Perspect. Psychol. Sci. 2015, 10, 227–237. [Google Scholar] [CrossRef] [Green Version]
- Cacioppo, J.T.; Hawkley, L.C.; Norman, G.J.; Berntson, G.G. Social isolation. Ann. N. Y. Acad. Sci. 2011, 1231, 17–22. [Google Scholar] [CrossRef]
- Pedersen, O.B.; Erikstrup, C.; Kotze, S.R.; Sorensen, E.; Petersen, M.S.; Grau, K.; Ullum, H. The Danish Blood Donor Study: A large, prospective cohort and biobank for medical research. Vox Sang. 2012, 102, 271. [Google Scholar] [CrossRef]
- Burgdorf, K.S.; Felsted, N.; Mikkelsen, S.; Nielsen, M.H.; Thorner, L.W.; Pedersen, O.B.; Sorensen, E.; Nielsen, K.R.; Bruun, M.T.; Werge, T.; et al. Digital questionnaire platform in the Danish Blood Donor Study. Comput. Methods Programs Biomed. 2016, 135, 101–104. [Google Scholar] [CrossRef] [Green Version]
- Gandek, B.; Ware, J.E.; Aaronson, N.K.; Apolone, G.; Bjorner, J.B.; Brazier, J.E.; Bullinger, M.; Kaasa, S.; Leplege, A.; Prieto, L.; et al. Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: Results from the IQOLA Project. International Quality of Life Assessment. J. Clin. Epidemiol. 1998, 51, 1171–1178. [Google Scholar] [CrossRef]
- Steenstrup, T.; Pedersen, O.B.; Hjelmborg, J.; Skytthe, A.; Kyvik, K.O. Heritability of health-related quality of life: SF-12 summary scores in a population-based nationwide twin cohort. Twin Res. Hum. Genet. 2013, 16, 670–678. [Google Scholar] [CrossRef] [Green Version]
- Eskildsen, A.; Dalgaard, V.L.; Nielsen, K.J.; Andersen, J.H.; Zachariae, R.; Olsen, L.R.; Jorgensen, A.; Christiansen, D.H. Cross-cultural adaptation and validation of the Danish consensus version of the 10-item Perceived Stress Scale. Scand. J. Work Environ. Health 2015, 41, 486–490. [Google Scholar] [CrossRef] [PubMed]
- Levenson, J.C.; Kay, D.B.; Buysse, D.J. The pathophysiology of insomnia. Chest 2015, 147, 1179–1192. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Connor, K.M.; Davidson, J.R. Development of a new resilience scale: The Connor-Davidson Resilience Scale (CD-RISC). Depress. Anxiety 2003, 18, 76–82. [Google Scholar] [CrossRef]
- Rigas, A.S.; Skytthe, A.; Erikstrup, C.; Rostgaard, K.; Petersen, M.S.; Hjalgrim, H.; Ullum, H.; Kyvik, K.O.; Pedersen, O.B. The healthy donor effect impacts self-reported physical and mental health–results from the Danish Blood Donor Study (DBDS). Transfus. Med. 2019, 29 (Suppl. 1), 65–69. [Google Scholar] [CrossRef] [PubMed]
- Suh, S.; Cho, N.; Zhang, J. Sex Differences in Insomnia: From Epidemiology and Etiology to Intervention. Curr. Psychiatry Rep. 2018, 20, 69. [Google Scholar] [CrossRef] [PubMed]
- Didriksen, M.; Rigas, A.S.; Allen, R.P.; Burchell, B.J.; Di Angelantonio, E.; Nielsen, M.H.; Jennum, P.; Werge, T.; Erikstrup, C.; Pedersen, O.B.; et al. Prevalence of restless legs syndrome and associated factors in an otherwise healthy population: Results from the Danish Blood Donor Study. Sleep Med. 2017, 36, 55–61. [Google Scholar] [CrossRef] [PubMed]
- Dinh, K.M.; Kaspersen, K.A.; Mikkelsen, S.; Pedersen, O.B.; Petersen, M.S.; Thørner, L.W.; Hjalgrim, H.; Rostgaard, K.; Ullum, H.; Erikstrup, C. Low-grade inflammation is negatively associated with physical Health-Related Quality of Life in healthy individuals: Results from The Danish Blood Donor Study (DBDS). PLoS ONE 2019, 14, e0214468. [Google Scholar] [CrossRef] [Green Version]
- de Smet, P.; Sans, S.; Dramaix, M.; Boulenguez, C.; de Backer, G.; Ferrario, M.; Cesana, G.; Houtman, I.; Isacsson, S.O.; Kittel, F.; et al. Gender and regional differences in perceived job stress across Europe. Eur. J. Public Health 2005, 15, 536–545. [Google Scholar] [CrossRef]
- Didriksen, M.; Thørner, L.W.; Larsen, M.A.H.; Sørensen, E.; Burgdorf, K.; Mikkelsen, S.; Rostgaard, K.; Banasik, K.; Pedersen, O.B.; Erikstrup, C.; et al. The impact of health-related quality of life and depressive symptoms on blood donor career—Results from the Danish blood donor study. Transfusion 2021, 61, 1479–1488. [Google Scholar] [CrossRef]
- van den Hurk, K.; Zalpuri, S.; Prinsze, F.J.; Merz, E.M.; de Kort, W. Associations of health status with subsequent blood donor behavior-An alternative perspective on the Healthy Donor Effect from Donor InSight. PLoS ONE 2017, 12, e0186662. [Google Scholar] [CrossRef] [Green Version]
- Jensen, H.; Davidsen, M.; Ekholm, O.; Christensen, A.I. Danskernes Sundhed–Den Nationale Sundhedsprofil 2017/“The Danish National Health Profile 2017”; The National Board of Health: Stockholm, Sweden, 2018.
- Almeida, M.; Shrestha, A.D.; Stojanac, D.; Miller, L.J. The impact of the COVID-19 pandemic on women’s mental health. Arch. Womens Ment. Health 2020, 23, 741–748. [Google Scholar] [CrossRef] [PubMed]
- Mazza, C.; Ricci, E.; Biondi, S.; Colasanti, M.; Ferracuti, S.; Napoli, C.; Roma, P. A Nationwide Survey of Psychological Distress among Italian People during the COVID-19 Pandemic: Immediate Psychological Responses and Associated Factors. Int. J. Environ. Res. Public Health 2020, 17, 3165. [Google Scholar] [CrossRef] [PubMed]
- de Figueiredo, C.S.; Sandre, P.C.; Portugal, L.C.L.; Mázala-de-Oliveira, T.; da Silva Chagas, L.; Raony, Í.; Ferreira, E.S.; Giestal-de-Araujo, E.; Dos Santos, A.A.; Bomfim, P.O. COVID-19 pandemic impact on children and adolescents’ mental health: Biological, environmental, and social factors. Prog. Neuropsychopharmacol. Biol. Psychiatry 2021, 106, 110171. [Google Scholar] [CrossRef] [PubMed]
- Tomova, L.; Wang, K.L.; Thompson, T.; Matthews, G.A.; Takahashi, A.; Tye, K.M.; Saxe, R. Acute social isolation evokes midbrain craving responses similar to hunger. Nat. Neurosci. 2020, 23, 1597–1605. [Google Scholar] [CrossRef]
- Beverly Hery, C.M.; Hale, L.; Naughton, M.J. Contributions of the Women’s Health Initiative to understanding associations between sleep duration, insomnia symptoms, and sleep-disordered breathing across a range of health outcomes in postmenopausal women. Sleep Health 2020, 6, 48–59. [Google Scholar] [CrossRef]
- Veeramachaneni, K.; Slavish, D.C.; Dietch, J.R.; Kelly, K.; Taylor, D.J. Intraindividual variability in sleep and perceived stress in young adults. Sleep Health 2019, 5, 572–579. [Google Scholar] [CrossRef]
- Christensen, A.I.; Davidsen, M.; Kjøller, M.; Juel, K. Mental Sundhed Blandt Voksne Danskere/Mental Health Among Adult Danes; Sundhedsstyrelsen/The National Board of Health: Copenhagen, Denmark, 2010. [Google Scholar]
- Morris, J.L.; Rohay, J.; Chasens, E.R. Sex Differences in the Psychometric Properties of the Pittsburgh Sleep Quality Index. J. Womens Health 2018, 27, 278–282. [Google Scholar] [CrossRef]
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