Evaluating the Factors (Stress, Anxiety and Depression) Affecting the Mental Health Condition of Nurses During the COVID-19 Pandemic

2021 ◽  
pp. 016327872110626
Author(s):  
Oğuz Işık ◽  
Dilaver Tengilimoğlu ◽  
Nurperihan Tosun ◽  
Aysu Zekioğlu ◽  
Onur Tengilimoğlu

This study aimed to determine the depression, anxiety and stress levels that have negatively impacted nurses’ mental health during the COVID-19 pandemic. A sample group of 826 nurses working in Turkey were asked to fill in an online questionnaire in order to evaluate their psychological responses and the related factors that have adversely affected their mental health during the COVID-19 pandemic. In total, 696 nurses (84.3%) showed symptoms of depression, 644 (78%) reported anxiety and 543 (65.74%) reported stress. This study also highlighted that the most concerning factor for the nurses was the risk of transmitting the COVID-19 infection to their household members (89.2%). The most important problems faced by the nurses during COVID-19 included equipment shortages (50.7%), administrative problems (38.5%) and issues such as accommodation and nutrition (27.4%). These were found to have a statistically significant correlation with the nurses’ levels of depression, anxiety and stress. The fear of losing a household member, the inability to their household’s social needs and the fear of death were among the factors that concerned nurses during the COVID-19 pandemic, significantly affecting their levels of depression, anxiety and stress. Taking the necessary measures to deal with the aforementioned problems and fears is important to protect the health, productivity and efficiency of nurses during the pandemic period.

BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e053231
Author(s):  
Julie Arsandaux ◽  
Ilaria Montagni ◽  
Mélissa Macalli ◽  
Nathalie Texier ◽  
Mathilde Pouriel ◽  
...  

ObjectivesTo estimate the effect of student status on mental health condition during COVID-19 general lockdown in France.DesignCross-sectional analysis comparing students and non-students recruited in the same study.SettingParticipants of the web-based CONFINS study implemented during the general lockdown in France in spring 2020.Participants2260 participants (78% women) including 1335 students (59%).Primary and secondary outcome measuresThrough an online questionnaire, participants declared if they have experienced suicidal thoughts, coded their perceived stress on a 10-points scale and completed validated mental health scales (Patient Health Questionnaire-9 for depressive symptoms, Generalised Anxiety Disorder-7 for anxiety symptoms) during the last 7 days. The effect of college student status on each mental health condition was estimated using multivariate logistic regression analyses. Stratified models for students and non-students were performed to identify population-specific factors.ResultsStudent status was associated with a higher frequency of depressive symptoms (adjusted OR (aOR)=1.58; 95% CI 1.17 to 2.14), anxiety symptoms (aOR=1.51; 95% CI 1.10 to 2.07), perceived stress (n=1919, aOR=1.70, 95% CI 1.26 to 2.29) and suicidal thoughts (n=1919, aOR=1.57, 95% CI 0.97 to 2.53). Lockdown conditions that could be potentially aggravating on mental health like isolation had a higher impact on students than on non-students.ConclusionsCollege students were at higher risk of mental health disturbances during lockdown than non-students, even after taking into account several potential confounding factors. A close follow-up and monitoring of students’ mental health status is warranted during lockdown periods in this vulnerable population.


2019 ◽  
Vol 82 (4) ◽  
pp. 373-388
Author(s):  
Ipsita Basu ◽  
Susmita Mukhopadhyay

Abstract Dementia caregiving is a unique and the caregivers faces extreme challenges which affect care-giver’s mental health adversely. Family caregiving towards elderly individuals with dementia is becoming widespread. The study aims to evaluate the mental health status of dementia family caregivers and some related factors that affect their mental health condition. Present cross sectional study includes a total of 134 family caregivers. Socio-demographic and caregiving related data were collected using pre-tested questionnaires. Standardized questionnaires were used to collect data on caregivers’ mental health traits (measured in terms of level of stress and anxiety), level of psychosocial distress, support they provided and the care recipient’s behavioural symptoms associated with dementia. Mean age of the caregivers was 61.64 years (SD 13.89) while the care recipients were above 70 years of age. Mean age of care recipients was 75.46±7.26 years. Alzheimer’s type of dementia was the most common type found among them. Higher level of stress and anxiety was prevalent among the caregivers. Level of education, being a spouse, psychological distress has strong relationship with caregivers’ mental health condition. Behavioural abnormalities of care recipients were also responsible for poor mental health conditions of caregivers. Family caregiving is becoming the most suitable option nowadays and it associated with caregivers’ psychological distress and other health issues. Present study also revealed distressed mental health conditions of caregivers. Since care recipients remain dependent mostly on their family care-givers, it is necessary that caregivers should be fit mentally as well as physically. Therefore, proper support and management is needed for caregivers in near future.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Signe Heuckendorff ◽  
Martin Nygård Johansen ◽  
Søren Paaske Johnsen ◽  
Charlotte Overgaard ◽  
Kirsten Fonager

Abstract Background Parental mental health conditions have been associated with increased morbidity and use of healthcare services in offspring. Existing studies have not examined different severities of parental mental health conditions, and the impact of paternal mental health has been overlooked. We examined the association between two severities of parental mental health conditions and use of healthcare services for children during the first year of life and explored the impact of both maternal and paternal mental health conditions. Methods This register-based cohort study included all live-born children born in Denmark from 2000 to 2016. Information on socioeconomics, diagnoses, drug prescriptions, and healthcare contacts was extracted from nationwide public registries. Parents were grouped according to severity of mental condition based on the place of treatment of the mental health condition. Negative binominal regression analyses were performed to estimate the incidence rate ratio (IRR) of contacts to general practice (GP), out-of-hour medical service, emergency room (ER), and out- and inpatient hospital contacts during the first 12 months of the child’s life. Results The analyses included 964,395 children. Twenty percent of the mothers and 12 % of the fathers were identified with mental health conditions. Paternal mental health conditions were independently associated with increased risk of infant healthcare contacts (GP IRR 1.05 (CI95% 1.04–1.06) and out-of-hour IRR 1.20 (CI95% 1.18–1.22)). Risks were higher for maternal mental health conditions (GP IRR 1.18 (CI95% 1.17–1.19) and out-of-hour IRR 1.39 (CI95% 1.37–1.41)). The risks were even higher if both parents were classified with a mental health condition (GP IRR 1.25 (CI95% 1.23–1.27) and out-of-hour contacts IRR 1.49 (CI95% 1.45–1.54)), including minor mental health condition (GP IRR 1.22 (CI95% 1.21–1.24) and out-of-hour IRR 1.37 (CI95% 1.34–1.41)). This pattern was the same for all types of healthcare contacts. Conclusions Both maternal and paternal mental health conditions, including minor mental health conditions, were associated with increased utilization of healthcare services. Focus on both parents’ mental health conditions (even if minor) may be warranted in service planning.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexandra P. Metse ◽  
Caitlin Fehily ◽  
Tara Clinton-McHarg ◽  
Olivia Wynne ◽  
Sharon Lawn ◽  
...  

Abstract Background Poor sleep and poor mental health go hand in hand and, together, can have an adverse impact on physical health. Given the already disproportionate physical health inequities experienced by people with a mental health condition worldwide, the need to consider and optimise sleep has been highlighted as a means of improving both physical and mental health status. Sleep recommendations recently developed by the United States’ National Sleep Foundation incorporate a range of sleep parameters and enable the identification of ‘suboptimal’ sleep. Among community-dwelling persons with and without a 12-month mental health condition in Australia, this study reports: [1] the prevalence of ‘suboptimal’ sleep and [2] rates of sleep assessment by a health care clinician/service and receipt of and desire for sleep treatment. Methods A descriptive study (N = 1265) was undertaken using self-report data derived from a cross-sectional telephone survey of Australian adults, undertaken in 2017. Results Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Across most (7 of 8) sleep parameters, the prevalence of suboptimal sleep was higher among people with a mental health condition, compared to those without (all p < 0.05). The highest prevalence of suboptimal sleep for both groups was seen on measures of sleep duration (36–39% and 17–20% for people with and without a mental health condition, respectively). In terms of sleep assessment and treatment, people with a mental health condition were significantly more likely to: desire treatment (37% versus 16%), have been assessed (38% versus 12%) and have received treatment (30% versus 7%). Conclusions The prevalence of suboptimal sleep among persons with a mental health condition in Australia is significantly higher than those without such a condition, and rates of assessment and treatment are low for both groups, but higher for people with a mental health condition. Population health interventions, including those delivered as part of routine health care, addressing suboptimal sleep are needed.


2021 ◽  
Author(s):  
Arash Maghsoudi ◽  
Sara Nowakowski ◽  
Ritwick Agrawal ◽  
Amir Sharafkhaneh ◽  
Sadaf Aram ◽  
...  

BACKGROUND The COVID-19 pandemic has imposed additional stress on population health that may result in a higher incidence of insomnia. In this study, we hypothesized that using natural language processing (NLP) to explore social media would help to identify the mental health condition of the population experiencing insomnia after the outbreak of COVID-19. OBJECTIVE In this study, we hypothesized that using natural language processing (NLP) to explore social media would help to identify the mental health condition of the population experiencing insomnia after the outbreak of COVID-19. METHODS We designed a pre-post retrospective study using public social media content from Twitter. We categorized tweets based on time into two intervals: prepandemic (01/01/2019 to 01/01/2020) and pandemic (01/01/2020 to 01/01/2021). We used NLP to analyze polarity (positive/negative) and intensity of emotions and also users’ tweets psychological states in terms of sadness, anxiety and anger by counting the words related to these categories in each tweet. Additionally, we performed temporal analysis to examine the effect of time on the users’ insomnia experience. RESULTS We extracted 268,803 tweets containing the word insomnia (prepandemic, 123,293 and pandemic, 145,510). The odds of negative tweets (OR, 1.31; 95% CI, 1.29-1.33), anger (OR, 1.19; 95% CI, 1.16-1.21), and anxiety (OR, 1.24; 95% CI: 1.21-1.26) were higher during the pandemic compared to prepandemic. The likelihood of negative tweets after midnight was higher than for other daily intevals, comprising approximately 60% of all negative insomnia-related tweets in 2020 and 2021 collectively. CONCLUSIONS Twitter users shared more negative tweets about insomnia during the pandemic than during the year before. Also, more anger and anxiety-related content were disseminated during the pandemic on the social media platform. Future studies using an NLP framework could assess tweets about other psychological distress, habit changes, weight gain due to inactivity, and the effect of viral infection on sleep.


2021 ◽  
pp. 140349482110454
Author(s):  
Amanda M.S. Christesen ◽  
Camilla K. Knudsen ◽  
Kirsten Fonager ◽  
Martin N. Johansen ◽  
Signe Heuckendorff

Aim: Parental mental health conditions adversely affect the children. Information on the prevalence of parental mental health conditions is needed to help policymakers allocate resources appropriately. Therefore, the aim of this study was to estimate the prevalence of children with parental mental health conditions in Denmark and further estimate the age-specific prevalence and geographical variation. Methods: In this nationwide register-based cross-sectional study, we included all children born between 2000 and 2016 if they resided in Denmark on 31 December 2016. Information on both maternal and paternal mental health conditions was retrieved from primary and secondary healthcare registers. Parental mental health conditions were categorised in three severity groups: minor, moderate, and severe. We estimated the proportion of children with parental mental health conditions on 31 December 2016. Results: Of the 1,106,459 children aged 0–16 years, 39.1% had at least one parent with a mental health condition. The prevalence increased with age of the children until the age of six years. Geographical variation in the prevalence ranged from 29.0% to 48.3% in the 98 municipalities. Minor parental mental health conditions (23.5%) were more common than moderate (13.5%) and severe parental mental health conditions (2.2%). Hospital-diagnosed parental mental health conditions were prevalent in 12.8% of the children. Conclusions: Two in five children aged 0–16 years in Denmark have parents with a mental health condition and geographical variation exists. The high prevalence of children with parental mental health conditions is an important public health challenge, which calls for attention.


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