scholarly journals Depression Symptoms and Risk Factors in Adult Emergency Department Patients: A Multisite Cross-Sectional Prevalence Survey

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Nancy Khav ◽  
Tracey J. Weiland ◽  
George A. Jelinek ◽  
Jonathan C. Knott ◽  
Michael Salzberg
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Emergency Department ◽  
Depression Screening ◽  
Depression Symptoms ◽  
Health Service Provider ◽  
Prevalence Survey ◽  
Cross Sectional ◽  
Detection Rates ◽  
Local Doctor

Objectives. To identify the proportion of adult emergency department (ED) patients who screen positive for depression. Secondary aims were to identify factors associated with a positive depression screen and determine predictors of a positive depression screen. Methods. This cross-sectional, prevalence survey of ED patients was conducted at two inner-city hospitals. 350 ED patients were screened for depression using the Patient Health Questionnaire-9 (PHQ-9). Clinical and demographic risk factors were examined through medical records and additional questionnaires. Results. Of 350 participants screened, 50 (14.3%; 95% CI = 11.0–18.4%) screened positive. Independent predictors of depression risk included self-reported depression and/or a previous diagnosis of depression (OR = 8.345; 95% CI = 3.524–19.762), seeing a mental health service provider in the past 6 months (OR = 4.518; 95% CI = 2.107–9.690), and previous discussion about mental health with a local doctor (OR = 2.369; 95% CI = 1.025–5.475). Conclusion. ED patients were found to be at a higher risk of depression than the general population. ED-based depression screening, particularly of high-risk populations, has the potential to increase case detection rates and allow earlier management of these patients. Further research and validation of an ED-based depression screening tool are required.

scholarly journals Mental Health Point Prevalence in International Committee of the Red Cross Employees: The cases of Lebanon, Myanmar, and Nigeria

2021 ◽  
Author(s):  
Peter Deli ◽  
Simone Aeschlimann ◽  
Grazia Ceschi
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Online Survey ◽  
Psychosocial Support ◽  
International Committee ◽  
Point Prevalence ◽  
Red Cross ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Cross Sectional

Like employees of any company or organization, humanitarian aid workers (HAW) are subject to mental health (MH) issues, such as posttraumatic stress disorder (PTSD), anxiety, and depression. MH issues can be challenging at individual and organizational levels and, ultimately, can also have adverse consequences on the people HAW try to help.The objectives of this study were to measure the point prevalence of PTSD, anxiety, and depression symptoms among HAW and compare the results to those found in the literature.A cross-sectional online survey was conducted on 432 International Committee of the Red Cross (ICRC) employees, both national and international, deployed in three countries. Results show an overall prevalence for PTSD symptoms ranging from 11.3% to 14.6%, for anxiety symptoms from 13.0% to 56.7%, and for depression symptoms from 19.9% to 41.9%. Sub-group analyses show that risk factors of developing PTSD are being national rather than international staff, being younger rather than older, and having a lower income/salary rather than a higher one. Anxiety risk factors are being a woman, not being in a relationship, working in Lebanon and Myanmar rather than Nigeria, being younger rather than older, and having a higher income/salary rather than a lower one. Depression risk factors are not being in a relationship, being national staff rather than international staff, working in Lebanon and Myanmar rather than Nigeria, being younger rather than older, and being senior rather than junior staff.Further investigation is needed to assess additional key variables in order to better pinpoint risk and protective factors, target the sub-groups most at risk, and suggest adequate psychosocial support in order to reduce MH issues prevalence.

The acceptability and feasibility of an online pathway for depression treatment via decision support: a cross-sectional survey. (Preprint)

2020 ◽  
Author(s):  
Paul J Barr ◽  
Michelle D Dannenberg ◽  
Shama S Alam ◽  
Karen L Fortuna ◽  
Theresa Nguyen ◽  
...  
Keyword(s):  
Mental Health ◽  
Decision Support ◽  
Psychological Health ◽  
Mental Health Problems ◽  
Severe Depression ◽  
Depression Screening ◽  
Depression Symptoms ◽  
Cross Sectional Survey ◽  
Access To Treatment ◽  
Cross Sectional

BACKGROUND Individuals often turn to the internet seeking answers to their mental health problems. In 2014, Mental Health America (MHA) began the online program MHA Screening, including the PHQ-9, and since then has collected data from nearly 2.5 million people. Among those who complete a depression screening online, 83% report moderate to severe depression. Despite a range of evidence-based treatments for depression, 60% of these individuals do not seek care. A lack of both knowledge of and access to treatment are major barriers to help-seeking. Decision aids (DAs) are tools that can increase treatment knowledge, yet it is unclear if individuals with depression symptoms would use such a tool online. OBJECTIVE The objective of this project was to determine the views of individuals with depression toward an online DA for depression, and to determine the characteristics those most likely to review a DA and are willing to seek care online. METHODS MHA offers web-based depression screening using the Patient Health Questionnaire (PHQ-9). For this pilot, MHA made a link to a depression DA available to all individuals completing PHQ-9 screening from October – November 2017. The DA consisted of information on frequently asked questions pertaining to three treatment approaches: watchful waiting, talk therapy and antidepressants. Respondents viewing the DA could complete a short survey assessing the perceived helpfulness of the DA, and whether they would be “willing to consult a doctor online” about symptoms. Descriptive statistics were calculated, while a multiple logistic regression model identified characteristics associated with viewing the DA. RESULTS Of 74,936 PHQ-9 screens completed, 599 (8%) proceeded to review the depression DA; 92% of these respondents screened positive for moderate to severe depression and 86% had never sought prior treatment. Of the 599, 527 (88%) completed the DA survey: 46% found the DA to be helpful, 45% were unsure, while only 8% said the DA was not helpful. Higher levels of depression severity, female sex and older age were associated with increased likelihood of viewing the DA, while higher income levels and Black/African Americans were less likely to view the DA. A majority of respondents (72%) stated they would be willing to discuss their symptoms with a doctor online. CONCLUSIONS Screening for depression and providing DA outside of traditional settings is viewed positively and holds significant potential for those seeking care online. This knowledge is timely given the rising interest in the use online therapies, and the detrimental impact on psychological health of social isolation measures in response to the Coronavirus pandemic. Future work will determine the best placement of such decision support tools to maximize DA access, and assess the potential for an online pathway to treatment facilitated by screening and decision support.

scholarly journals Sociodemographic and Psychological Risk Factors for Anxiety and Depression: Findings from the Covid-19 Health and Adherence Research in Scotland on Mental Health (CHARIS-MH) Cross-sectional Survey

2021 ◽  
Author(s):  
Gill Hubbard ◽  
Chantal den Daas ◽  
Marie Johnston ◽  
Diane Dixon
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Social Support ◽  
Illness Representations ◽  
Gender Effects ◽  
Anxiety And Depression ◽  
Perceived Threat ◽  
Cross Sectional ◽  
Psychological Risk Factors ◽  
Psychological Risk

Abstract Background Investigations about mental health report prevalence rates with fewer studies investigating psychological and social factors influencing mental health during the Covid-19 pandemic. Study aims: (1) identify sociodemographic groups of the adult population at risk of anxiety and depression and (2) determine if the following social and psychological risk factors for poor mental health moderated these direct sociodemographic effects: loneliness, social support, threat perception, illness representations. Methods Cross-sectional nationally representative telephone survey in Scotland in June 2020. If available, validated instruments were used, for example, Patient Health Questionnaire (PHQ-4) to measure anxiety and depression. Simple linear regressions followed by examination of moderation effect. Results A total of 1006 participants; median age 53 years, 61.4% female, from all levels of area deprivation (i.e., 3.8% in the most deprived decile and 15.6% in the most affluent decile). Analyses show associations of anxiety and depression with sociodemographic (age, gender, deprivation), social (social support, loneliness) and psychological factors (perceived threat and illness representations). Mental health was poorer in younger adults, women and people living in the most deprived areas. Age effects were exacerbated by loneliness and illness representations, gender effects by loneliness and illness representations and deprivation effects by loneliness, social support, illness representations and perceived threat. In each case, the moderating variables amplified the detrimental effects of the sociodemographic factors. Conclusions These findings confirm the results of pre-Covid-19 pandemic studies about associations between sociodemographics and mental health. Loneliness, lack of social support and thoughts about Covid-19 exacerbated these effects and offer pointers for pre-emptive action.

scholarly journals Prevalence, risk factors and sources of anxiety among Emergency Department healthcare workers in Pakistan during COVID-19 pandemic: A single center survey

2021 ◽  
Vol 2 ◽  
Author(s):  
N. Haroon ◽  
S. S. Owais ◽  
A. S. Khan ◽  
J. Amin
Keyword(s):  
Risk Factors ◽  
Emergency Department ◽  
Health Care Providers ◽  
Healthcare Workers ◽  
Work Performance ◽  
Nonparametric Tests ◽  
Care Providers ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Frontline Workers

Summary COVID-19 has challenged the mental health of healthcare workers confronting it world-wide. Our study identifies the prevalence and risk of anxiety among emergency healthcare workers confronting COVID-19 in Pakistan. We conducted a cross-sectional survey in an Emergency Department using the Generalized Anxiety Scale (GAD-7), and questions about sources of anxiety. Of 107 participants, 61.7% were frontline workers. The prevalence of anxiety was 50.5%. Nonparametric tests determined that nurses, younger and inexperienced staff, developed significant anxiety. Multivariate ordinal regression determined independent risk factors for developing anxiety were younger age (OR 2.11, 95% CI 0.89–4.99) and frontline placement (OR 1.34, 95% CI 0.33–1.66). Significant sources of stress were fear of infecting family (P = 0.003), lack of social support when the health care providers were themselves unwell (P = 0.02) and feelings of inadequate work performance (P = 0.05). Our study finds that HCWs’ anxiety is considerable. Appropriate measures for its alleviation and prevention are required.

Prevalence of Mental Disorders by Socioeconomic Status in Australia: A Cross-Sectional Epidemiological Study

2020 ◽  
pp. 089011712096865
Author(s):  
Rubayyat Hashmi ◽  
Khorshed Alam ◽  
Jeff Gow ◽  
Sonja March
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Socioeconomic Status ◽  
Mental Disorders ◽  
National Health Survey ◽  
Cross Sectional ◽  
Lower Odds ◽  
Socioeconomic Groups ◽  
Income Groups ◽  
Weighted Prevalence

Purpose: To present the prevalence of 3 broad categories of mental disorder (anxiety-related, affective and other disorders) by socioeconomic status and examine the associated socioeconomic risk factors of mental disorders in Australia. Design: A population-based, cross-sectional national health survey on mental health and its risk factors across Australia. Setting: National Health Survey (NHS), 2017-2018 conducted by the Australian Bureau of Statistics (ABS) Participants: Under aged: 4,945 persons, Adult: 16,370 persons and total: 21,315 persons Measures: Patient-reported mental disorder outcomes Analysis: Weighted prevalence rates by socioeconomic status (equivalised household income, education qualifications, Socio-Economic Index for Areas (SEIFA) scores, labor force status and industry sector where the adult respondent had their main job) were estimated using cross-tabulation. Logistic regression utilizing subsamples of underage and adult age groups were analyzed to test the association between socioeconomic status and mental disorders. Results: Anxiety-related disorders were the most common type of disorders with a weighted prevalence rate of 20.04% (95% CI: 18.49-21.69) for the poorest, 13.85% (95% CI: 12.48-15.35) for the richest and 16.34% (95% CI: 15.7-17) overall. The weighted prevalence rate for mood/affective disorders were 20.19% (95% CI: 18.63-21.84) for the poorest, 9.96% (95% CI: 8.79-11.27) for the richest, and 13.57% (95% CI: 12.99-14.17) overall. Other mental disorders prevalence were for the poorest: 9.07% (95% CI: 7.91-10.39), the richest: 3.83% (95% CI: 3.14-4.66), and overall: 5.93% (95% CI: 5.53-6.36). These patterns are also reflected if all mental disorders were aggregated with the poorest: 30.97% (95% CI: 29.15-32.86), the richest: 19.59% (95% CI: 18.02-21.26), and overall: 23.93% (95% CI: 23.19-24.69). The underage logistic regression model showed significant lower odds for the middle (AOR: 0.75, 95% CI: 0.53 -1.04, p < 0.1), rich (AOR: 0.71, 95% CI: 0.5-0.99, p < 0.05) and richest (AOR: 0.6, 95% CI: 0.41-0.89, p < 0.01) income groups. Similarly, in the adult logistic model, there were significant lower odds for middle (AOR: 0.84, 95% CI: 0.72-0.98, p < 0.05), rich (AOR: 0.73, 95% CI: 0.62-0.86, p < 0.01) and richest (AOR: 0.76, 95% CI: 0.63-0.91, p < 0.01) income groups. Conclusion: The prevalence of mental disorders in Australia varied significantly across socioeconomic groups. Knowledge of different mental health needs in different socioeconomic groups can assist in framing evidence-based health promotion and improve the targeting of health resource allocation strategies.

scholarly journals Physical and mental health factors associated with work engagement among Finnish female municipal employees: a cross-sectional study

BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e017303
Author(s):  
Veera Veromaa ◽  
Hannu Kautiainen ◽  
Päivi Elina Korhonen
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Work Engagement ◽  
Cross Sectional Study ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Psychosocial Risk Factor ◽  
Physical And Mental Health ◽  
Cross Sectional ◽  
Mental Health Factors

ObjectivesWork engagement is related to mental health, but studies of physical health’s association with work engagement are scarce. This study aims to evaluate the relationship between physical health, psychosocial risk factors and work engagement among Finnish women in municipal work units.MethodsA cross-sectional study was conducted in 2014 among 726 female employees from 10 municipal work units of the city of Pori, Finland. Work engagement was assessed with the nine-item Utrecht Work Engagement Scale. The American Heart Association’s concept of ideal cardiovascular health (CVH) was used to define physical health (non-smoking, body mass index <25.0 kg/m2, physical activity at goal, healthy diet, total cholesterol <5.18mmol/L, blood pressure <120/80 mm Hg, normal glucose tolerance). Psychosocial risk factors (social isolation, stress, depressive symptoms, anxiety, hostility and type D personality) were included as core questions suggested by 2012 European Guidelines on cardiovascular disease prevention.ResultsOf the study subjects, 25.2% had favourable 5–7 CVH metrics. The sum of CVH metrics, healthy diet and physical activity at goal were positively associated with work engagement. In subjects without psychosocial risk factors (36.7%), work engagement was high and stable. Presence of even one psychosocial risk factor was associated with a lower level of work engagement regardless of the sum of ideal CVH metrics.ConclusionsBoth physical and mental health factors have a positive relationship with work engagement, whereas the presence of even one psychosocial risk factor has a negative association regardless of the level of classic cardiovascular risk factors.

Precarious employment, psychosocial risk factors and poor mental health: A cross-sectional mediation analysis

2021 ◽  
Vol 143 ◽  
pp. 105439
Author(s):  
Fabrizio Méndez Rivero ◽  
Eva Padrosa ◽  
Mireia Utzet ◽  
Joan Benach ◽  
Mireia Julià
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Mediation Analysis ◽  
Poor Mental Health ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Cross Sectional ◽  
Precarious Employment

A nationwide cross-sectional study of difficulty waking up for school among adolescents

SLEEP ◽  
2021 ◽  
Author(s):  
Yu Kinoshita ◽  
Osamu Itani ◽  
Yuichiro Otsuka ◽  
Yuuki Matsumoto ◽  
Sachi Nakagome ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
High Schools ◽  
Odds Ratio ◽  
Associated Factors ◽  
Underlying Disease ◽  
Early Morning ◽  
Poor Mental Health ◽  
Cross Sectional ◽  
Waking Up

Abstract Study Objectives To determine the prevalence of and risk-factors for difficulty waking up for school among adolescents. Methods We used a self-administered questionnaire (140 junior high schools [JHSs]; 124 senior high schools [SHSs]) selected randomly in 2012 from throughout Japan. Results Total response rate: 60.7%. Data from 38,494 JHS and 61,556 SHS students were analyzed. The prevalence of at least one instance of school tardiness/absence due to difficulty waking up over a 30-day period was 10.9(95% confidence-interval:10.5-11.3)%/2.9(2.7-3.1)% for JHS-boys and 7.7(7.3-8.1)%/2.0(1.8-2.2)% for JHS-girls. The prevalence was 15.5(15.1-15.9)%/5.6(5.3-5.9)% for SHS-boys and 14.4(14.0-14.8)%/5.9(5.6-6.2)% for SHS-girls. We used ordinal regression to identify the risk factors associated with the experience of school tardiness/absence. Factors significantly associated with school tardiness in all four groups (JHS boys/girls, SHS boys/girls) were “no-participation-in-club-activities,” “early-morning-awakening,” “feeling bad throughout a morning,” “drinking,” and “smoking.” Among associated factors, the highest odds ratio was found for monthly smoking-days (none vs. at least one-day or more) for JHS-girls at 5.30(3.57-7.85). Factors significantly associated with school absence in all four groups were “no wishing to go to university,” “no participation in club activities,” “disorders of initiating and maintaining sleep,” “long internet use,” “drinking,” “smoking,” “poor-mental-health” and “feeling bad throughout a morning.” Among associated factors, the highest odds ratio was found for monthly smoking-days (none vs. at least one-day or more) for JHS-girls at 4.60(3.45-6.15). Conclusions These results suggest that the risk factors for difficulty waking up among adolescents are sleep status, lifestyle, and mental health, which can indicate the presence of an underlying disease.

Longitudinal Effects of Gendered Harassment Perpetration and Victimization on Mental Health Outcomes in Adolescence

2017 ◽  
Vol 35 (23-24) ◽  
pp. 5997-6016 ◽  
Author(s):  
Sarah J. Rinehart ◽  
Dorothy L. Espelage ◽  
Kristen L. Bub
Keyword(s):  
Mental Health ◽  
Sexual Harassment ◽  
Health Outcomes ◽  
Mental Health Outcomes ◽  
Depression Symptoms ◽  
Negative Outcomes ◽  
Cross Sectional ◽  
The Impact ◽  
Homophobic Name Calling ◽  
Gendered Harassment

Gendered harassment, including sexual harassment and homophobic name-calling, is prevalent in adolescents and is linked to negative outcomes including depression, anxiety, suicidality, substance abuse, and personal distress. However, much of the extant literature is cross-sectional and rarely are perpetrators of these behaviors included in studies of outcomes. Therefore, the current study examined the effects of longitudinal changes in gendered harassment perpetration and victimization on changes in mental health outcomes among a large sample of early adolescents. Given that these behaviors commonly occur in the context of a patriarchal society (males hold power), we also investigated the impact of gender on gendered harassment. Participants included 3,549 students from four Midwestern middle schools (50.4% female, 49% African American, 34% White) at two time points (13 and 17 years old). Results indicated that increases from age 13 to 17 years in sexual harassment perpetration and victimization and homophobic name-calling perpetration and victimization predicted increases in depression symptoms and substance use. Gender did not moderate these pathways. These findings highlight that negative outcomes are associated with changes in gendered harassment among adolescents and emphasize the importance of prevention efforts. Implications for school interventions are discussed.

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