scholarly journals Differential Mental Health Impact Six Months After Extensive River Flooding in Rural Australia: A Cross-Sectional Analysis Through an Equity Lens

2019 ◽  
Vol 7 ◽  
Author(s):  
Veronica Matthews ◽  
Jo Longman ◽  
Helen L. Berry ◽  
Megan Passey ◽  
James Bennett-Levy ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Impact ◽  
Cross Sectional ◽  
River Flooding ◽  
Cross Sectional Analysis ◽  
Sectional Analysis ◽  
Rural Australia

scholarly journals Mental Health of Keyworkers in the UK during the COVID-19 Pandemic: a Cross-sectional Analysis of a Community Cohort

2020 ◽  
Author(s):  
Kieran Ayling ◽  
Ru Jia ◽  
Trudie Chalder ◽  
Adam Massey ◽  
Elizabeth Broadbent ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Psychological Factors ◽  
Health Impact ◽  
Mental Health Outcomes ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Health And Social Care ◽  
The Uk ◽  
Sectional Analysis

AbstractObjectivesPrevious pandemics have resulted in high levels of psychological morbidity among frontline workers. Here we report on the early mental health impact of the COVID-19 pandemic on keyworkers in the UK, as assessed during the first six weeks of nationwide social distancing measures being introduced. Comparisons are made with non-keyworkers, and psychological factors that may be protective to keyworkers’ mental health are explored.DesignCross-sectional analysis of a community cohort study.MethodsDuring April 2020, keyworkers (n=1559) and non-keyworkers (n=1436) completed online measures of depression, anxiety, and stress levels as well as explanatory demographic and psychological factors hypothesised to be related to these mental health outcomes.ResultsKeyworkers reported significantly higher depression, anxiety, and stress than pre-pandemic population norms. Compared to non-keyworkers, keyworkers were more likely to worry about COVID-19 and perceived they were at higher risk from the virus. This was particularly evident for health and social care keyworkers. Younger keyworkers and those in a clinically increased risk group were more likely to report poorer mental health. Lower positive mood, greater loneliness and worrying more about COVID-19 were all associated with poorer mental health outcomes amongst keyworkers.ConclusionsThe mental health impact of the COVID-19 pandemic on keyworkers in the UK has been substantial. Worry about COVID-19 and perceived risk from COVID-19 in keyworkers are understandable given potential increased exposure to the virus. Younger and clinically vulnerable keyworkers may benefit most from any interventions that seek to mitigate the negative mental health impacts of the pandemic.

scholarly journals Association between food insecurity and access to a mental health professional: cross-sectional analysis of NHANES 2007–2014

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nina Camille Burruss ◽  
Marina Girgis ◽  
Karen Elizabeth Green ◽  
Lingyi Lu ◽  
Deepak Palakshappa
Keyword(s):  
Mental Health ◽  
Health Professional ◽  
Food Insecurity ◽  
Mental Health Professional ◽  
The United States ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
The Past ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Abstract Background To determine if individuals with food insecurity (FI) were less likely to have seen a mental health professional (MHP) within the past year than individuals without FI. Methods This is a cross-sectional analysis of data from the National Health and Nutrition Examination Survey (NHANES) conducted in the United States between 2007 and 2014. All participants 20 years of age or older were eligible for this study. We excluded participants who were pregnant, missing FI data, or missing data from the Patient Health Questionnaire (PHQ-9). The primary outcome was self-reported contact with a MHP in the past 12 months. We used multivariable logistic regression models to test the association between FI and contact with a MHP, controlling for all demographic and clinical covariates. Results Of the 19,789 participants, 13.9% were food insecure and 8.1% had major depressive disorder (MDD). In bivariate analysis, participants with FI were significantly more likely to have MDD (5.3% vs 2.8%, p < 0.0001) and to have been seen by a MHP in the preceding 12 months (14.0% vs 6.9%, p < 0.0001). In multivariable models, adults with FI had higher odds of having seen a MHP (OR = 1.32, CI: 1.07, 1.64). Conclusions This study demonstrates that individuals with FI were significantly more likely to have seen a MHP in the preceding 12 months compared to individuals without FI. Given the growing interest in addressing unmet social needs in healthcare settings, this data suggests that visits with MHPs may be a valuable opportunity to screen for and intervene on FI.

scholarly journals Rationale and methods for a cross-sectional study of mental health and wellbeing following river flooding in rural Australia, using a community-academic partnership approach

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
J. M. Longman ◽  
J. Bennett-Levy ◽  
V. Matthews ◽  
H. L. Berry ◽  
M. E. Passey ◽  
...  
Keyword(s):  
Climate Change ◽  
Mental Health ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
River Flooding ◽  
Health And Wellbeing ◽  
Wide Range ◽  
Flood Exposure ◽  
Partnership Approach ◽  
Rural Australia

Abstract Background Climate change is associated with greater frequency, duration, intensity and unpredictability of certain weather-related events, including floods. Floods harm mental health. There is limited understanding of the mental health and well-being effects from river flooding, particularly over the longer term and in rural contexts. This paper describes the rationale, aims, objectives, study design and socio-demographic characteristics of the sample for a study measuring associations between flood experience and mental health and wellbeing of residents (particularly those most likely to be negatively impacted and hard to reach) in rural NSW Australia 6 months following a devastating flood in 2017. To our knowledge, the study is the first of its kind within Australia in a rural community and is an important initiative given the likelihood of an increasing frequency of severe flooding in Australia given climate change. Methods A conceptual framework (The Flood Impact Framework) drawing on social ecological approaches was developed by the research team. It was based on the literature and feedback from the community. The Framework describes putative relationships between flood exposure and mental health and wellbeing outcomes. Within a community-academic partnership approach, a cross-sectional survey was then undertaken to quantify and further explore these relationships. Results The cross-sectional survey was conducted online (including on mobile phone) and on paper between September and November 2017 and recruited 2530 respondents. Of those, 2180 provided complete demographic data, among whom 69% were women, 91% were aged 25–74, 4% identified as Aboriginal and/or Torres Strait Islander, 9% were farmers and 33% were business owners. Conclusions The study recruited a wide range of respondents and the partnership facilitated the community’s engagement with the design and implementation of the study. The study will provide a basis for a follow-up study, that will aim to improve the understanding of mental health and wellbeing effects over the longer term. It will provide an important and original contribution to understanding river flooding and mental health in rural Australia, a topic that will grow in importance in the context of human-induced climate change, and identify critical opportunities to strengthen services, emergency planning and resilience to future flooding.

scholarly journals Dual Use of a Patient Portal and Clinical Video Telehealth by Veterans with Mental Health Diagnoses: Retrospective, Cross-Sectional Analysis (Preprint)

2018 ◽  
Author(s):  
Erica A Abel ◽  
Stephanie L Shimada ◽  
Karen Wang ◽  
Christine Ramsey ◽  
Melissa Skanderson ◽  
...  
Keyword(s):  
Mental Health ◽  
Low Income ◽  
Technology Use ◽  
Patient Portal ◽  
Health Administration ◽  
Dual Use ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Mental Health Diagnoses ◽  
Sectional Analysis

BACKGROUND Access to mental health care is challenging. The Veterans Health Administration (VHA) has been addressing these challenges through technological innovations including the implementation of Clinical Video Telehealth, two-way interactive and synchronous videoconferencing between a provider and a patient, and an electronic patient portal and personal health record, My HealtheVet. OBJECTIVE This study aimed to describe early adoption and use of My HealtheVet and Clinical Video Telehealth among VHA users with mental health diagnoses. METHODS We conducted a retrospective, cross-sectional analysis of early My HealtheVet adoption and Clinical Video Telehealth engagement among veterans with one or more mental health diagnoses who were VHA users from 2007 to 2012. We categorized veterans into four electronic health (eHealth) technology use groups: My HealtheVet only, Clinical Video Telehealth only, dual users who used both, and nonusers of either. We examined demographic characteristics and mental health diagnoses by group. We explored My HealtheVet feature use among My HealtheVet adopters. We then explored predictors of My HealtheVet adoption, Clinical Video Telehealth engagement, and dual use using multivariate logistic regression. RESULTS Among 2.17 million veterans with one or more mental health diagnoses, 1.51% (32,723/2,171,325) were dual users, and 71.72% (1,557,218/2,171,325) were nonusers of both My HealtheVet and Clinical Video Telehealth. African American and Latino patients were significantly less likely to engage in Clinical Video Telehealth or use My HealtheVet compared with white patients. Low-income patients who met the criteria for free care were significantly less likely to be My HealtheVet or dual users than those who did not. The odds of Clinical Video Telehealth engagement and dual use decreased with increasing age. Women were more likely than men to be My HealtheVet or dual users but less likely than men to be Clinical Video Telehealth users. Patients with schizophrenia or schizoaffective disorder were significantly less likely to be My HealtheVet or dual users than those with other mental health diagnoses (odds ratio, OR 0.50, CI 0.47-0.53 and OR 0.75, CI 0.69-0.80, respectively). Dual users were younger (53.08 years, SD 13.7, vs 60.11 years, SD 15.83), more likely to be white, and less likely to be low-income than the overall cohort. Although rural patients had 17% lower odds of My HealtheVet adoption compared with urban patients (OR 0.83, 95% CI 0.80-0.87), they were substantially more likely than their urban counterparts to engage in Clinical Video Telehealth and dual use (OR 2.45, 95% CI 1.95-3.09 for Clinical Video Telehealth and OR 2.11, 95% CI 1.81-2.47 for dual use). CONCLUSIONS During this study (2007-2012), use of these technologies was low, leaving much potential for growth. There were sociodemographic disparities in access to My HealtheVet and Clinical Video Telehealth and in dual use of these technologies. There was also variation based on types of mental health diagnosis. More research is needed to ensure that these and other patient-facing eHealth technologies are accessible and effectively used by all vulnerable patients.

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