Population Mental Health Research Articles

The Impact of "Soft" and "Hard" Flood Adaptation Measures on Affected Population's Mental Health: A Mixed Method Scoping Review.

The frequency and severity of floods has increased in different regions of the world due to climate change. It is important to examine how adaptation measures impact the mental health of individuals affected by these disasters. The goal of this scoping review was to document the existing studies on the impact of flood adaptation measures in affected populations to identify the best preventive strategies and limitations that deserve further exploration. This study followed the PRISMA-ScR guidelines. Inclusion criteria focused on studies in English or French available in MEDLINE and Web of Science that examined the impact of adaptation measures on the mental health of flood victims. Literature reviews or non-study records were excluded from the analysis. A total of 857 records were obtained from the examined databases. After 2 rounds of screening, 9 studies were included for full-text analysis. Six studies sought to identify the factors that drive resilience in flood victims, whereas 3 studies analyzed the impact of external interventions on their mental health. The limited number of studies demonstrates the need for public health policies to develop flood adaptation measures that can be used to support the mental health of flood victims.

Predictive Models for Canadian Healthcare Workers Mental Health During COVID-19.

COVID-19 impact on the population's mental health has been reported worldwide. Predicting healthcare workers' mental health and life stress is needed to proactively plan for future emergencies. Statistics Canada has surveyed Canadian healthcare workers and those working in healthcare settings to gauge their perceived mental health and perceived life stress. A cross-sectional survey of healthcare workers in Canada. A sample of 18,139 healthcare workers respondents. Eight algorithms, including Logistic Regression, Random Forest (RF), Naive Bayes (NB), K Nearest Neighbours (KNN), Adaptive boost (AdaBoost), Multi-layer perceptron (MLP), XGBoost, and LightBoost. AUC scores, accuracy and precision were measured for all models. XGBoost provided the highest performing model AUC score (AUC = 82.07%) for predicting perceived mental health, and Random Forest performed the best for predicting perceived life stress (AUC = 77.74%). Perceived health, age group of participants, and perceived mental health compared to before the pandemic were found to be the most important 3 features to predict perceived mental health and perceived stress. Perceived mental health compared to before the pandemic was the most important predictor for perceived life stress. Our models are highly predictive of healthcare workers' perceived mental health and life stress. Implementing scalable, non-expensive virtual mental health solutions to address mental health challenges in the workplace could mitigate the impact of workplace conditions on healthcare workers' mental health.

Estimating the effectiveness of an enhanced ‘Improving Access to Psychological Therapies’ (IAPT) service addressing the wider determinants of mental health: a real-world evaluation

BackgroundAddressing the wider determinants of mental health alongside psychological therapy could improve mental health service outcomes and population mental health.ObjectivesTo estimate the effectiveness of an enhanced ‘Improving Access to Psychological...

Differences in Mental Illness Stigma by Disorder and Gender: Population-Based Vignette Randomized Experiment in Rural Uganda.

Understanding and eliminating mental illness stigma is crucial for improving population mental health. In many settings, this stigma is gendered, from the perspectives of both the stigmatized and the stigmatizers. We aimed to find the differences in the level of stigma across different mental disorders while considering the gender of the study participants as well as the gender of the people depicted in the vignettes. This was a population-based, experimental vignette study conducted in Buyende District of Eastern Uganda in 2023. We created 8 vignettes describing both men and women with alcohol use disorder, major depressive disorder, generalized anxiety disorder, and schizophrenia consistent with DSM-5 criteria. Participants from 20 villages in rural Buyende District of Uganda (N=379) were first read a randomly selected vignette and administered a survey eliciting their attitudes (Personal Acceptance Scale [PAS] and Broad Acceptance Scale [BAS]) towards the person depicted in the vignette. We used analysis of variance (ANOVA) with Bonferroni-adjusted, empirical p-values to compare levels of acceptance across disorders and genders. Attitudes towards people with mental illness, as measured by the PAS, varied across different mental disorders (p=0.002). In pairwise mean comparisons, the greater acceptance of anxiety disorder vs. schizophrenia was statistically significant (Mean [SD] PAS: 2.91 [3.15] vs 1.62 [1.95], p=0.008). Secondary analyses examining differences in acceptance across gender combinations within mental disorders showed that PAS varied across gender combinations for depression (p=0.017), suggesting that acceptance is higher for women with depression than men with depression. In this population-based vignette study from rural Uganda, we found that people with schizophrenia were less accepted compared to people with anxiety disorders. We also found that there was greater acceptance of women with depression than men with depression. Anti-stigma initiatives may need to be targeted to specific disorders and genders.

Associations of orientation to promote good in challenging situations with distress and well‐being: Multi‐study evidence from three non‐Western Longitudinal samples

AbstractWe examine whether an orientation to promote good serves as a potential buffer against distress and facilitator of well‐being outcomes in three non‐Western samples with a recent history of conflict (Indonesia, Colombia, Mexico) and across three different time frames (1, 4 and 12 months). Longitudinal surveys provided data for cross‐lagged panel modelling. A series of sensitivity analyses provided evidence for the robustness of results. Persons with an orientation to promote good reported greater well‐being 1 month and 4 months post‐assessment and reduced distress 1 month and 4 months post‐assessment. The effects, with larger effect sizes, were also found for reverse associations. We did not find evidence of associations assessed at the 12‐month interval with the exception of a negative association between an orientation to promote good and subsequent life satisfaction and happiness. Orientation to promote good may be relevant for population's mental health and well‐being over the short‐ and medium‐term.

COVID-19 pandemic: legal, criminological, health and social aspects

This study considers the impact of the COVID-19 pandemic - announced by the WHO in March 2020 - on law enforcement, crime, and mental health of population, including vulnerable groups (children and adolescents, prisoners, health care workers). The authors use an interdisciplinary research approach, including comparative legal, historical, and formal-legal methods. Anti-epidemic measures aimed at curbing the global spread of the virus and interrupting its transmission routes are described on examples from several countries. The legal basis for such measures consists mainly of legal acts of executive authorities and decisions of local authorities, taken in accordance with national laws in the field of prevention and control of infectious diseases and response to emergencies. The authors discuss in detail the legal instruments used in countering the pandemic in the Russian Federation, including changes and amendments to the legislation on administrative offences and criminal law. The global crisis caused by the pandemic offers examples of effective actions taken by states, but also shows weaknesses in the organization of health care, including functioning of health care workers “on the front line” of fight against the pandemic. The international system for responding to dangerous infections has also underperformed, prompting discussions on the need for an international legal instrument to combat pandemics. Empirical studies have found that the pandemic, combined with restrictive measures, led to increased levels of stress, anxiety and depression, alcohol and other psychoactive substances use among the population, gave rise to new types of illigal behavior and negative dynamics in a number of already known criminal offenses. Therefore, criminologists need to pay attention to changes in the structure and dynamics of crime, conditions that contribute to them, as well as new factors of victimhood.

Characteristics of older patients in the largest French psychiatric emergency centre.

Despite an increasing number of adults older than 60 years with psychiatric disorders, there are few studies on older patients in psychiatric emergencies and no European data. We aimed to describe the population of patients aged 60 years and older who presented to the main French psychiatric emergency centre and identify predictors of psychiatric hospitalization. This monocentric study included 300 consecutive patients aged 60 years and older. Patients presenting because of psychiatric emergencies were frequently female and lived autonomously. More than 40% had a history of at least one psychiatric hospitalization and 44% had consulted a psychiatrist in the previous 6 months. The most common reasons for consultation were depression, anxiety, sleep disorders and suicidal thoughts. Psychiatric disorders were mainly mood disorders; neurotic, stress-related and somatoform disorders; and schizophrenic, schizotypal and delusional disorders. Only 10% had a diagnosis of organic mental disorders. Overall, 39% of the patients were admitted to the psychiatric hospital. Factors predicting hospitalization were a history of psychiatric hospitalization, suicidal thoughts and a diagnosis of a mood disorder or schizophrenia/schizotypal/delusional disorder. In conclusion, among people aged 60 years and older who consulted for psychiatric emergencies, 39% had to be hospitalized in psychiatry and only psychiatric factors influenced the decision to hospitalize. Our study highlights the need for further studies of older people in psychiatric emergencies in Europe, to anticipate the needs of this specific population and adapt multidisciplinary mental health care.

Perceived stress among Sri Lankans during the economic crisis: an online survey

Background: The Sri Lankan population's mental health was undoubtedly significantly impacted by the county’s economic crisis. This study investigated the prevalence of perceived stress and its socio-demographic predictor. Methods: A web-based cross-sectional survey was undertaken in July-August 2022, using google forms. The respondents were assessed for socio-demographics, and the level of stress experienced over the previous month. Ten-item self-reported perceived stress scale (PSS) was used to assess stress levels analysis. Descriptive statistics and logistic regression analysis were used. Results: A total of 1214 respondents, aged ≥18 years were included in the survey. The majority were females (60%). The mean PSS score of this population was 21.95 ±6.09. More than half of the respondents reported moderate levels of stress (68.5%), while 23% registered high levels. A significant association was demonstrated between stress levels and variables age, gender, and residential area. Respondents below the age of 40 years (OR 1.936, 95% CI, 1.365-2.748, P<0.001) were more likely to report higher odds of having increased PSS scores, while men (OR 0.640, 95% CI, 0.491-0.835, P=0.001), and those without children (OR 0.556, 95% CI, 0.409-0.756, P<0.001) had significantly lower odds of reporting PSS. Conclusion: Respondents experienced moderate to high levels of stress during the financial crisis in Sri Lanka. Higher stress was predicted by younger age, female gender, and having children. The results highlight the urgent need for stress management interventions to boost resilience and improve psychological well-being in this situation.

Impact of the COVID-19 pandemic on mental health care and people with mental health conditions in Ethiopia: the MASC mixed-methods study

BackgroundThe COVID-19 pandemic has had far-reaching effects on the mental health of populations around the world, but there has been limited focus on the impact on people with existing mental health conditions in low-income countries. The aim of this study was to examine impact of the pandemic on mental health care and people with mental health conditions in Ethiopia.MethodsA convergent mixed methods study was conducted. We systematically mapped information from publicly available reports on impacts of the pandemic on mental health care. Monthly service utilisation data were obtained from Amanuel Mental Specialised Hospital, the main psychiatric hospital, and analysed using segmented Poisson regression (2019 vs. 2020). In-depth interviews were conducted with 16 purposively selected key informants. Framework analysis was used for qualitative data. Findings from each data source were integrated.ResultsIn the early stages of the pandemic, participants indicated a minimal response towards the mental health aspects of COVID-19. Mental health-related stigma and discrimination was evident. Scarce mental health service settings were diverted to become COVID-19 treatment centres. Mental health care became narrowly biomedical with poorer quality of care due to infrequent follow-up. Households of people with pre-existing mental health conditions in the community reported worsening poverty and decreased access to care due to restricted movement, decreased availability and fear. Lack of reliable medication supplies increased relapse and the chance of becoming chained at home, abandoned or homeless. Caregiver burden was exacerbated. Within mental health facilities, prisons and residential units, infection control procedures did not adequately safeguard those with mental health conditions. Meanwhile, the needs of people with mental health conditions in COVID-19 quarantine and treatment facilities were systematically neglected. Only late in the day were integrated services developed to address both physical and mental health needs.ConclusionsThe COVID-19 pandemic had substantial negative impacts on the lives of people with mental health conditions in Ethiopia. Future emergency response should prioritise the human rights, health, social and economic needs of people with mental health conditions. Integration of mental and physical health care would both expand access to care and increase resilience of the mental health system.

Priority actions for promoting population mental health and wellbeing

Mental health promotion is an essential strategy for improving population mental health and wellbeing and preventing poor mental health. This paper outlines the case for governments to invest in promoting population mental health and wellbeing by adopting a mental health promotion approach.Drawing on a synthesis of the international evidence, findings are presented on effective mental health promotion interventions that can be feasibly implemented across the life course in everyday settings and that have the potential to be scaled-up at a country level. Based on a review of 111 meta-analyses and 57 systematic reviews, both universal and targeted interventions are identified, that have been shown to enhance good mental health, reduce the risk of mental ill-health, and advance population health and wellbeing. The implications of the findings for policy and practice are outlined.The policy structures and processes that are needed to support the delivery of evidence-based strategies at a population level are considered, including investing in the systems and capacity to ensure their sustained implementation. In particular, the need for policy models to support intersectoral action at a whole-of-government and whole-of-society level is outlined.

Review of Teresa Heinz Housel's Mental Health among Higher Education Faculty, Administrators, and Graduate Students: A Critical Perspective (Rowman & Littlefield, 2021).

What does it mean to be mentally ill in academia? This is the central question of Teresa Heinz Housel’s edited book which focuses on the experiences of academic staff, university administrators, and graduate students experiencing mental illness and mental health distress. Divided into three sections of four chapters each, including “Mental Health Distress and Mental Illness in Academic Culture,” “Intersections of Mental Health and Marginalised Academic Populations” and “Institutional Policies on Mental Health and Recommendations for Best Practice,” the book covers a variety of perspectives and experiences and draws on both qualitative and quantitative research methods. [...]

General Population's Psychological Perceptions of COVID-19: A Systematic Review.

During the COVID-19 pandemic, general population's mental health may be influenced by their perceptions of major pandemic issues. Therefore, a systematic search was conducted to screen out those concerns and analyse the impacts. EBSCO, Scopus and Web of Science were searched for publications from inception to 1 February 2023. Nineteen articles were extracted and four issues were screened out as general population's major concerns, namely "Risk perception", "Government trust", "Media coverage and authenticity", and "Conspiracy theory". The population's perceptions of those issues could affect their mental health by arousing emotional reactions, which vary in different countries, social classes and groups, and would change in different stages of virus outbreak. The findings suggest that the general population's attitudes towards COVID-19-related social issues could affect their psychological health and should receive more concerns. As different issues are related to one another, an integrated solution system is in need, which would be helpful for coping with similar public emergencies in the future.

Population mental health, help-seeking and associated barriers following the COVID-19 pandemic: Analysis of repeated nationally representative cross-sectional surveys in Czechia

This study investigated the Czech adults’ mental health following the COVID-19 pandemic and the potential influence of data collection methodology on prevalence estimates. Separately, it investigated changes in help-seeking and associated barriers. Data from representative surveys on Czech adults, conducted in November 2017 (n = 3,306), in May (n = 3,021) and November 2020 (n = 3,000), and in November and December 2022 (n = 7,311), were used. Current mental disorders were assessed by the Mini International Neuropsychiatric Interview, and the treatment gap was established in individuals scoring positively. In help-seeking individuals, encountering barriers was investigated. In 2017 and 2022, 20.02 % and 27.22 % of individuals had at least one mental disorder, respectively. The 2022 panel sampling and online and telephone interviewing estimates (34.29 % and 26.7 %) were substantially higher than those from household sampling and personal interviewing (19.9 %). Prevalence rates based on household sampling and personal interviewing were broadly consistent in 2017 and 2022. The treatment gap was around 80 % from 2017 to 2022. More than 50 % of individuals encountered structural barriers in help-seeking in 2022. This study showed that prevalence rates were still elevated in 2022, but suggests that data collection methodology influenced the estimates. Separately, the treatment gap remained consistently very high, and encountering structural barriers in help-seeking was common.

Mental health and resilience after the covid-19 pandemic: a multi-ethnic longitudinal survey

BackgroundLongitudinal work on the impact of COVID-19 on population mental health and resilience beyond the first year of the pandemic is lacking. We aimed to understand how mental health and resilience evolved during the pandemic (2020) and two years later (2022) in a multi-ethnic Singaporean population. In addition, we assessed what characteristics were associated with mental health and resilience scores.MethodsWe surveyed and analysed two balanced panel samples up to four times between 30th April 2020 and 11th July 2022. One panel assessed psychological distress (Kessler-10) and well-being (short Warwick Edinburgh Mental Well-being scale) n = 313, and one panel assessed resilience (10-item Connor-Davidson Resilience Scale©) n = 583. A linear panel regression model with random effects assessed the temporal patterns for psychological distress, well-being, and resilience.ResultsMean psychological distress scores (Kessler-10) were relatively stable over time and were not statistically significantly worse than baseline at any follow-up. Well-being scores improved over time and were significantly better than baseline by the third survey (22nd Jul-18th Aug 2020) (0.54 p = 0.007, Cohen’s d 0.12). Scores had worsened by the last survey (27th June-11th July 2022) but were not significantly different from baseline 0.20 p = 0.30. Resilience scores declined over time. Scores at both follow-ups (14th Aug- 4th Sep 2020 and 27th June-11th July 2022) were statistically significantly lower than baseline: -1.69 p < 0.001 (Cohen’s d 0.25) and -0.96 p = 0.006 (Cohen’s d 0.14), respectively.ConclusionsOur study joins a body of work measuring the longitudinal effects of COVID-19 on population mental health and resilience. While, the magnitude of the effect related to resilience decline is small, our findings indicate that particular attention should be given to ongoing population surveillance, with the aim of maintaining good health and well-being.

The short-term impact of terrorism on public mental health: an emergency primary care approach

BackgroundTerrorist attacks commonly have mental health consequences for those directly affected. Existing research is, however, divided when it comes to how and whether terrorist attacks affect the general population’s mental health. There is a need for studies investigating a broader range of mental health reactions to understand more about how different groups of the population are affected by terrorist attacks, while also illuminating important systemic factors.MethodsIn this study we investigated whether there was any change in the number of consultations with out-of-hours emergency primary care for psychological reactions in association with the 2011 terrorist attacks in Norway. Data covering the entire Norwegian population’s primary care contacts in 2008–2013, where the reason for encounter was coded as psychological concerns or psychiatric disorders, were studied. A time series intervention analysis, using ARIMA modelling, was used to estimate whether there was indeed a change in healthcare utilisation associated with the terrorist attacks.ResultsThe analysis uncovered an increase in contacts with emergency primary care by the overall population for mental health concerns associated with the terrorist attacks. When divided into groups according to geographical proximity to attacks, no significant change was found in the area closest to the attack in Oslo, whereas an increase was found for the rest of the country. There was also heterogeneity across different age groups. An increase was found among youths, young adults, and middle-aged people, but not the other age groups, and an increase was found for both men and women.ConclusionsThese findings highlight the need for primary care services to be prepared to meet mental health reactions in the general population when planning for healthcare provision in the aftermath of terrorism. Simultaneously, it should be noted that needs may vary across different groups of the population.

Using crisis text messaging service data to measure the impact of the COVID-19 Pandemic on mental health in Ireland

ABSTRACT In 2020 and 2021, non-pharmaceutical interventions (NPIs) were implemented globally to mitigate the transmission of COVID-19. This study is aimed to assess the impact of NPIs on the public mental health in Ireland by drawing on two datasets: (1) data of 43,433 chats initiated at Text About It, a free text-based mental health crisis service in Ireland, and (2) emotional well-being indicators reported by respondents of the Amárach public opinion survey, carried out on behalf of the Department of Health, Ireland. Our analysis reveals that COVID-19-related chats drove overall volumes of chats to Text About It between June 2020 to July 2021. Surges in text volumes immediately prior to new restrictions in Ireland indicate an association between the announcements of the new restrictions and a sudden rise in mental health concerns. Through segmented regression, seven distinct breakpoints were identified across weekly chat volumes at Text About It, the majority of which co-occurred with dates when considerable changes in NPIs were made. Significant high cross-correlation is found between emotional well-being variables in the Amárach dataset and the number of weekly COVID-19 related texts to Text About It. This analysis confirms the value of Text About It as community surveillance indicator for population mental health.

Evaluating potential effects of distress symptoms' interventions on suicidality: Analyses of in silico scenarios

BackgroundComplexity science perspectives like the network approach to psychopathology have emerged as a prominent methodological toolkit to generate novel hypotheses on complex etiologies surrounding various mental health problems and inform intervention targets. Such approach may be pivotal in advancing early intervention of suicidality among the younger generation (10–35 year-olds), the increasing burden of which needs to be reversed within a limited window of opportunity to avoid massive long-term repercussions. However, the network approach currently lends limited insight into the potential extent of proposed intervention targets' effectiveness, particularly for target outcomes in comorbid conditions. MethodsThis paper proposes an in silico (i.e., computer-simulated) intervention approach that maps symptoms' complex interactions onto dynamic processes and analyzes their evolution. The proposed methodology is applied to investigate potential effects of changes in 1968 community-dwelling individuals' distress symptoms on their suicidal ideation. Analyses on specific subgroups were conducted. Results were also compared with centrality indices employed in typical network analyses. ResultsFindings concur with symptom networks' centrality indices in suggesting that timely deactivating hopelessness among distressed individuals may be instrumental in preventing distress to develop into suicidal ideation. Additionally, however, they depict nuances beyond those provided by centrality indices, e.g., among young adults, reducing nervousness and tension may have similar effectiveness as deactivating hopeless in reducing suicidal ideation. LimitationsCaution is warranted when generalizing findings here to the general population. ConclusionThe proposed methodology may help facilitate timely agenda-setting in population mental health measures, and may also be augmented for future co-creation projects.

The Potential Influence of AI on Population Mental Health.

The integration of artificial intelligence (AI) into everyday life has galvanized a global conversation on the possibilities and perils of AI on human health. In particular, there is a growing need to anticipate and address the potential impact of widely accessible, enhanced, and conversational AI on mental health. We propose 3 considerations to frame how AI may influence population mental health: through the advancement of mental health care; by altering social and economic contexts; and through the policies that shape the adoption, use, and potential abuse of AI-enhanced tools.

New and continuing physician-based outpatient mental health care among children and adolescents during the COVID-19 pandemic in Ontario, Canada: a population-based study.

To assess physician-based mental health care utilization during the COVID-19 pandemic among children and adolescents new to care and those already engaged with mental health services, and to evaluate differences by sociodemographic factors. We performed a population-based repeated cross-sectional study using linked health and administrative databases in Ontario, Canada among all children and adolescents 3-17 years. We examined outpatient visit rates per 1,000 population for mental health concerns for those new to care (no physician-based mental healthcare for ≥1 year) and those with continuing care needs (any physician-based mental healthcare <1 year) following onset of the pandemic. Among ~2.5 million children and adolescents (48.7% female, mean age 10.1 ± 4.3 years), expected monthly mental health outpatient visits were 1.5/1,000 for those new to mental health care and 5.4/1,000 for those already engaged in care. Following onset of the pandemic, visit rates for both groups were above expected [adjusted rate ratio (aRR) 1.22, 95% CI 1.17, 1.27; aRR 1.10, 95% CI 1.07, 1.12] for new and continuing care, respectively. The greatest increase above expected was among females (new: aRR 1.33, 95% CI 1.25, 1.42; continuing: aRR 1.22 95% CI 1.17, 1.26) and adolescents ages 13-17 years (new: aRR 1.31, 95% CI 1.27, 1.34; continuing: aRR 1.15 95% CI 1.13, 1.17). Mood and anxiety concerns were prominent among those new to care. In the 18 months following onset of the pandemic, outpatient mental health care utilization increased for those with new and continuing care needs, especially among females and adolescents.

A systematic review of the association between parent-child communication and adolescent mental health.

This systematic review addresses how adolescent-rated parent-child communication (PCC) quality is related to adolescent mental health. We performed a systematic literature search in Medline and APA PsycInfo, including peer-reviewed quantitative studies examining associations between adolescent-rated dyadic PCC quality and general as well as specific measures of adolescent mental health. Qualitative and case studies were excluded, as were studies reporting only parent-rated communication quality or instruments assessing other constructs than dyadic PCC. We screened 5314 articles, of which 37 were included in the review. We assessed study quality with the Mixed Methods Appraisal Tool. We synthesized the findings in a table and narratively, reporting the main outcomes organized according to mental health constructs. The included studies were mainly cross-sectional. The results showed that adolescent-rated PCC quality is negatively associated with mental health constructs, demonstrating small to large effects across different mental health constructs and populations. The associations were found for general mental health and specific domains, including depression, anxiety, psychosis, suicidal ideation, post-traumatic stress symptoms, and addictive internet use/gaming. The findings demonstrate that PCC is a relevant variable to consider in assessing adolescent mental health and preventive efforts. Limitations include the exclusive focus on adolescent-reported PCC questionnaires since parent- and observer-rated instruments may lead to different results. Also, PCC is related to other constructs, such as dyadic relationships, that were not included in this review. We conclude that PCC is a relevant variable to consider in mental health research. Our findings suggest that PCC may be considered in mental health practice, both in terms of assessing its quality and potentially by tailoring interventions to enhance PCC. These may represent a mean to promote adolescent mental health.