scholarly journals The impact of asthma on mental health & wellbeing during COVID-19 lockdown

2020 ◽  
Author(s):  
Daniel H Higbee ◽  
George Nava ◽  
Alex S F Kwong ◽  
James W Dodd ◽  
Raquel Granell
Keyword(s):  
Mental Health ◽  
Depression Score ◽  
Anxiety And Depression ◽  
Logistic Regression Models ◽  
Parents And Children ◽  
Two Generations ◽  
Negative Impacts ◽  
The Impact ◽  
Avon Longitudinal Study ◽  
Socio Economic Factors

Abstract Introduction The global SARS CoV2 pandemic resulted in social isolation measures with unintended negative impacts, particularly on mental health. We hypothesised that people with asthma are likely to be more vulnerable to worse mental health during lockdown. Methods We examined COVID-19 surveys (completed April/May 2020), nested within two generations of the Avon Longitudinal Study of Parents and Children (ALSPAC): index-generation ALSPAC-G1 (n= 2942, mean age=28) and the parents generation ALSPAC-G0 (n=3737, mean age=59). We used Poisson and logistic regression models to estimate the effect of asthma on wellbeing, anxiety and depression, and factors related to COVID-19 and lockdown. Models were adjusted for validated pre-pandemic measures of mental health and socio-economic factors. Results Asthma was associated with a 13% increase in depression score in ALSPAC-G1 (p=0.005) and 15% increase in ALSPAC-G0 (p=0.05) compared to participants without asthma, anxiety scores increased by 14% in ALSPAC-G1 (p=0.005) and by 16% in ALSPAC-G0 (p=0.02). Asthma was associated with a similar increase of anxiety and depression scores during COVID-19 in both generations (Z test p values >0.80). Discussion People with asthma have worse mental health & wellbeing during lockdown compared to people without asthma. Although the effect of asthma on mental health is of similar magnitude between the generations, younger participants with asthma declined to lower levels of mental health despite reporting less symptoms, COVID-19 infection and self-isolation. This has important implications given repeated lockdowns. Young people with asthma should be closely monitored and supported to mitigate the impact of lockdown on their mental health.

scholarly journals Mental health among immigrants in Germany – the impact of self-attribution and attribution by others as an immigrant

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yuriy Nesterko ◽  
Michael Friedrich ◽  
Elmar Brähler ◽  
Andreas Hinz ◽  
Heide Glaesmer
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Population Based ◽  
Migration Background ◽  
Mental Health Outcomes ◽  
Anxiety And Depression ◽  
Post Traumatic Stress ◽  
Related Factors ◽  
Logistic Regression Models ◽  
The Impact

Abstract Background In Germany, the term ‘migration background’ has been established to differentiate between immigrants and natives. In the present study post-traumatic stress disorder (PTSD), anxiety, and depression were analysed in immigrant populations in Germany by considering self-attribution as well as attribution by others on one’s own ‘migration background’. Methods In a population-based survey (N = 2317), socio-demographic characteristics, migration background (official statistics definition vs. self-attribution as well as the anticipated attribution by others), PTSD (PCL-5), and symptoms of anxiety and depression (PHQ-4) were assessed. Logistic regression models were applied to predict mental health outcomes by considering socio-demographic and immigration-related factors. Results A total of 10.7% of respondents (N = 248) had a ‘migration background’. Immigrants of the 2nd generation compared to 1st generation immigrants are less likely to see themselves as immigrants. Attribution as an immigrant (self and/or by others) was found as significant predictor for PTSD and depression, but not anxiety. Conclusions It seems useful to focus on immigration-related factors considering subjective perspectives and not only comparing immigrants and natives using a federal statistics definition. Our findings suggest that research on the association between immigration-related factors such as attribution as an immigrant and mental health outcomes might be a promising approach to better identify subgroups at higher risk of mental distress.

scholarly journals Mental health during the COVID-19 pandemic in two longitudinal UK population cohorts

2020 ◽  
Author(s):  
Alex S. F. Kwong ◽  
Rebecca M. Pearson ◽  
Mark J. Adams ◽  
Kate Northstone ◽  
Kate Tilling ◽  
...  
Keyword(s):  
Mental Health ◽  
Family Health ◽  
Health Study ◽  
Depression And Anxiety ◽  
Relevant Effect ◽  
Parents And Children ◽  
Two Generations ◽  
The Uk ◽  
University Of Bristol ◽  
The Impact

SummaryBackgroundThe impact of COVID-19 on mental health is unclear. Evidence from longitudinal studies with pre pandemic data are needed to address (1) how mental health has changed from pre-pandemic levels to during the COVID-19 pandemic and (2), whether there are groups at greater risk of poorer mental health during the pandemic?MethodsWe used data from COVID-19 surveys (completed through April/May 2020), nested within two large longitudinal population cohorts with harmonised measures of mental health: two generations of the Avon Longitudinal Study of Parents and Children (ALPSAC): the index generation ALSPAC-G1 (n= 2850, mean age 28) and the parent’s generation ALSPAC-G0 (n= 3720, mean age = 59) and Generation Scotland: Scottish Family Health Study (GS, (n= 4233, mean age = 59), both with validated pre-pandemic measures of mental health and baseline factors. To answer question 1, we used ALSPAC-G1, which has identical mental health measures before and during the pandemic. Question 2 was addressed using both studies, using pre-pandemic and COVID-19 specific factors to explore associations with depression and anxiety in COVID-19.FindingsIn ALSPAC-G1 there was evidence that anxiety and lower wellbeing, but not depression, had increased in COVID-19 from pre-pandemic assessments. The percentage of individuals with probable anxiety disorder was almost double during COVID-19: 24% (95% CI 23%, 26%) compared to pre-pandemic levels (13%, 95% CI 12%, 14%), with clinically relevant effect sizes. In both ALSPAC and GS, depression and anxiety were greater in younger populations, women, those with pre-existing mental and physical health conditions, those living alone and in socio-economic adversity. We did not detect evidence for elevated risk in key workers or health care workers.InterpretationThese results suggest increases in anxiety and lower wellbeing that may be related to the COVID-19 pandemic and/or its management, particularly in young people. This research highlights that specific groups may be disproportionally at risk of elevated levels of depression and anxiety during COVID-19 and supports recent calls for increasing funds for mental health services.FundingThe UK Medical Research Council (MRC), the Wellcome Trust and University of Bristol.

scholarly journals Mental health among immigrants in Germany – the impact of self-attribution and attribution by others as an immigrant

2019 ◽  
Author(s):  
Yuriy Nesterko ◽  
Michael Friedrich ◽  
Elmar Brähler ◽  
Andreas Hinz ◽  
Heide Glaesmer
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Population Based ◽  
Migration Background ◽  
Mental Health Outcomes ◽  
Anxiety And Depression ◽  
Post Traumatic Stress ◽  
Related Factors ◽  
Logistic Regression Models ◽  
The Impact

Abstract Background In Germany, the term ‘migration background' has been established to differentiate between immigrants and natives. In the present study post-traumatic stress disorder (PTSD), anxiety and depression were analysed in immigrant populations in Germany by considering self-attribution as well as attribution by others on one’s own ‘migration background’. Methods In a population-based survey (N = 2317), socio-demographic characteristics, migration background (official statistics definition vs. self-attribution as well as the anticipated attribution by others), PTSD (PCL-5), symptoms of anxiety and depression (PHQ-4) were assessed. Logistic regression models were applied to predict mental health outcomes by considering socio-demographic and immigration-related factors. Results A total of 10.7% of the respondents (N = 248) had a ‘migration background’. Immigrants of the 2nd generation compared to 1st generation immigrants are less likely to see themselves as immigrants. Attribution as an immigrant (self and/or by others) was found as significant predictor for PTSD and depression, but not anxiety. Conclusions It seems useful to focus on immigration-related factors considering subjective perspectives and not only comparing immigrants and natives using a federal statistics definition. Our findings suggest that research on the association between immigration-related factors such as attribution as an immigrant and mental health outcomes might be a promising approach to better identify subgroups at higher risk of mental distress.

Impact of depression and anxiety on cancer patients' perceptions of lifestyle behaviors.

2019 ◽  
Vol 37 (31_suppl) ◽  
pp. 141-141
Author(s):  
Kathryn Corbett ◽  
Jingyue Huang ◽  
Sophia Liu ◽  
Elliot Charles Smith ◽  
Delaram Farzanfar ◽  
...  
Keyword(s):  
Mental Health ◽  
Alcohol Consumption ◽  
Behavior Change ◽  
Cancer Patients ◽  
Symptom Assessment ◽  
Patient Perceptions ◽  
Anxiety And Depression ◽  
Logistic Regression Models ◽  
The Impact ◽  
Health Comorbidities

141 Background: Health behaviors including tobacco use, alcohol consumption, and physical activity (PA) can impact outcomes in cancer survivors. While the peri-diagnostic period can be a "teachable moment" for behavior change, patients may face barriers including mental health comorbidities. We have previously identified that patient perceptions of behaviors can influence behavior change. Here, we evaluated the impact of anxiety and depression on patient perceptions of these behaviors. Methods: Cancer patients from all disease sites were surveyed (2016-17) on their smoking, alcohol habits, and PA, and perceptions of the impact of these behaviors on fatigue, survival, and quality of life (QofL). Survey data were linked with same day Edmonton Symptom Assessment Symptom (ESAS) anxiety and depression scores. Logistic regression models evaluated the impact of anxiety and depression on patient perceptions. Results: Of 496, 53% were male; median age, 60 years. At diagnosis, 20% were current smokers, 47% were current drinkers, and 67% were not meeting PA guidelines. 30% screened positive for anxiety (ESAS anxiety > 3) and 34% screened positive for depression (ESAS depression > 2); mean [standard deviation] scores were 1.9 [2.3] for anxiety and 1.5 [2.2] for depression. Most current smokers (> 80%) perceived smoking to negatively impact fatigue, survival and QofL. Smokers screening positive for anxiety were more likely to perceive smoking as harmful on survival (OR=9.09, 95% CI (1.15-100), P=0.04); greater ESAS anxiety scores were associated with perceiving smoking to worsen survival (OR=1.51 per point, 95% CI (1.04-2.17), P=0.03). While those less physically active at diagnosis (> 65%) felt that PA improves fatigue, survival and QofL and half of current drinkers (45%-50%) felt that alcohol worsens outcomes, anxiety and depression were not found associated with perceptions (P > 0.10). Conclusions: Among current smokers, greater anxiety scores and those screening positive for anxiety were more likely to perceive continued smoking as harmful to survival. Mental health comorbidities were not found to have an impact on patient perceptions of the effect of alcohol consumption and PA on fatigue, survival, and QofL.

scholarly journals Mental health among immigrants in Germany – the impact of self-attribution and attribution by others as an immigrant

2019 ◽  
Author(s):  
Yuriy Nesterko ◽  
Michael Friedrich ◽  
Elmar Brähler ◽  
Andreas Hinz ◽  
Heide Glaesmer
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Population Based ◽  
Migration Background ◽  
Mental Health Outcomes ◽  
Anxiety And Depression ◽  
Post Traumatic Stress ◽  
Related Factors ◽  
Logistic Regression Models ◽  
The Impact

Abstract Background: In Germany, the term ‘migration background' has been established to differentiate between immigrants and natives. In the present study post-traumatic stress disorder (PTSD), anxiety, and depression were analysed in immigrant populations in Germany by considering self-attribution as well as attribution by others on one’s own ‘migration background’. Methods: In a population-based survey (N = 2317), socio-demographic characteristics, migration background (official statistics definition vs. self-attribution as well as the anticipated attribution by others), PTSD (PCL-5), and symptoms of anxiety and depression (PHQ-4) were assessed. Logistic regression models were applied to predict mental health outcomes by considering socio-demographic and immigration-related factors. Results: A total of 10.7% of respondents (N = 248) had a ‘migration background’. Immigrants of the 2nd generation compared to 1st generation immigrants are less likely to see themselves as immigrants. Attribution as an immigrant (self and/or by others) was found as significant predictor for PTSD and depression, but not anxiety. Conclusions: It seems useful to focus on immigration-related factors considering subjective perspectives and not only comparing immigrants and natives using a federal statistics definition. Our findings suggest that research on the association between immigration-related factors such as attribution as an immigrant and mental health outcomes might be a promising approach to better identify subgroups at higher risk of mental distress.

scholarly journals Mental health among immigrants in Germany – the impact of self-attribution and attribution by others as an immigrant

2019 ◽  
Author(s):  
Yuriy Nesterko ◽  
Michael Friedrich ◽  
Elmar Brähler ◽  
Andreas Hinz ◽  
Heide Glaesmer
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Population Based ◽  
Migration Background ◽  
Mental Health Outcomes ◽  
Anxiety And Depression ◽  
Post Traumatic Stress ◽  
Related Factors ◽  
Logistic Regression Models ◽  
The Impact

Abstract Background: In Germany, the term ‘migration background' has been established to differentiate between immigrants and natives. In the present study post-traumatic stress disorder (PTSD), anxiety, and depression were analysed in immigrant populations in Germany by considering self-attribution as well as attribution by others on one’s own ‘migration background’. Methods: In a population-based survey (N = 2317), socio-demographic characteristics, migration background (official statistics definition vs. self-attribution as well as the anticipated attribution by others), PTSD (PCL-5), and symptoms of anxiety and depression (PHQ-4) were assessed. Logistic regression models were applied to predict mental health outcomes by considering socio-demographic and immigration-related factors. Results: A total of 10.7% of respondents (N = 248) had a ‘migration background’. Immigrants of the 2nd generation compared to 1st generation immigrants are less likely to see themselves as immigrants. Attribution as an immigrant (self and/or by others) was found as significant predictor for PTSD and depression, but not anxiety. Conclusions: It seems useful to focus on immigration-related factors considering subjective perspectives and not only comparing immigrants and natives using a federal statistics definition. Our findings suggest that research on the association between immigration-related factors such as attribution as an immigrant and mental health outcomes might be a promising approach to better identify subgroups at higher risk of mental distress.

scholarly journals The impact of sitting time and physical activity on mental health during COVID-19 lockdown

2021 ◽  
Author(s):  
Matthew Pears ◽  
Susanna Kola-Palmer ◽  
Liane Beretta De Azevedo
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Health Outcomes ◽  
Online Survey ◽  
Depression Score ◽  
Sitting Time ◽  
Multiple Stepwise Regression Analysis ◽  
Previous Diagnosis ◽  
The Uk ◽  
The Impact

Abstract Objective The primary aim of this study was to investigate the association between physical activity (PA) and sitting time on adults’ mental health (i.e., depression, anxiety and wellbeing) and the influence of mediators and confounders. Methods An online survey was disseminated in the UK between May and June 2020. A total of 284 participants (33.5 ± 12.4 years) self-reported their PA, sitting time and mental health through validated questionnaires. Results Multiple stepwise regression analysis revealed that being of younger age, female, on a lower income, with one or more comorbid health conditions, with a previous diagnosis of mood disorder and increased sitting time independently correlated with higher depression scores (F (13,219) = 12.31, p < 0.001), and explained 42% of the variance. Similar results were found for wellbeing where socio-demographic, health outcomes and sitting time influenced the subjective wellbeing (F (14,218) = 5.77, p < 0.001, 27% variance), although only socio-demographic and health outcomes contributed to the variation in anxiety score (F (13,219) = 7.84, p < 0.001, 32% variance). PA did not explain variation when sitting time was taken into account in any of the models. Combined analysis revealed that participants with lower sedentary time (< 8 h) and with both low or moderate and high PA presented a significantly lower depression score [low PA: (B = −2.7, 95% CI −4.88, −0.52); moderate and high PA (B = −2.7, −4.88, −0.52)]. Conclusion Sitting time was strongly associated with adverse mental health during COVID-19 lockdown and should be considered in future public health recommendations.

scholarly journals Family Physicians’ Standpoint and Mental Health Assessment in the Light of COVID-19 Pandemic—A Nationwide Survey Study

2021 ◽  
Vol 18 (4) ◽  
pp. 2093
Author(s):  
Tina Vilovic ◽  
Josko Bozic ◽  
Marino Vilovic ◽  
Doris Rusic ◽  
Sanja Zuzic Furlan ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Perceived Stress ◽  
Depression Scale ◽  
Family Physicians ◽  
Knowledge Score ◽  
Well Being ◽  
Anxiety And Depression ◽  
Event Scale ◽  
The Impact

During the coronavirus disease 2019 (COVID-19) outbreak, family physicians (FPs) are the backbone of the healthcare system with considerable impact on the general population, and their well-being is of great importance. The aim of this investigation was to assess FPs mental health, as well as knowledge, attitudes and practices (KAPs) regarding the pandemic, and opinions on non-communicable disease (NCD) health care provided to patients. A cross-sectional study was carried out with a sample of 613 FPs. Anxiety and depression levels were estimated with the Hospital Anxiety and Depression Scale, subjective perceived stress with the Perceived Stress Scale, while trauma-related symptoms were assessed using the Impact on Event Scale-COVID19. KAPs toward the pandemic and opinions regarding NCD patients were evaluated with questionnaires accordingly. Results have shown that age (β = −0.02, p = 0.013) and personal risk of COVID‑19 (β = 1.05, p < 0.001) were significant independent correlates of the knowledge score. A total of 87.7% FPs expressed moderate/high perceived stress, 45.2% moderate/severe trauma-related symptoms, 60.4% borderline/abnormal anxiety levels, and 52.4% borderline/abnormal depression levels. Knowledge score was an independent predictor of perceived stress (β = −0.33, p = 0.023) and anxiety (β = −0.31, p = 0.006) levels. Limited accessibility to healthcare services and decreased number of newly-diagnosed NCD cases were mostly agreed on. The pandemic puts a considerable strain on FPs mental health, as well as on public health measures, due to the decreased overall quality of NCD patient health care. Educational programs may bridge the gaps between FPs’ knowledge. Thus lowering anxiety and improving patient care.

Impact of PlayerUnknown’s Battlegrounds (PUBG) on mental health

2021 ◽  
pp. 002581722098181
Author(s):  
Shweta Sunil ◽  
Manoj Kumar Sharma ◽  
Nitin Anand
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Health Professionals ◽  
Online Gaming ◽  
Anxiety And Depression ◽  
Self Harm ◽  
Aggressive Behaviours ◽  
Causal Patterns ◽  
The Impact

Online gaming has become a concern for health professionals due to its dysfunctional effects. This study aimed to conceptualise and summarise the impact that gaming platforms like PUBG can have on an individual’s mental health. A systematic review was conducted using the PRISMA model. A total of five papers were shortlisted and reviewed for the purpose of this study. The results indicated the use of gaming platforms like PUBG by players to address and cope with anxiety and depression, and it also highly influences the presence of other concerns like ADHD and suicidality, self-harm and aggressive behaviours. While the literature points to the detrimental effects of PUBG, this study highlights the importance of undertaking more research to establish the causal patterns in PUBG use and how to address the issues posed from both psychological and legal perspectives.

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